system

Abstract

Provide a system. [Solution] means for receiving building design drawing data; means for analyzing the design drawing data and extracting structural information of the building; A means for calculating the type and amount of building materials required based on the extracted structural information; A means for creating an optimal construction period and schedule based on labor information input by a user; a means for generating an estimate based on the calculated amount of required building materials and labor information; A means for outputting the generated estimate information; A system including:

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In the construction industry, quantity surveying work is typically performed by relying on the knowledge and experience of individual experts. This makes it difficult to standardize calculation methods and schedule management, resulting in variations in accuracy and efficiency. It is also difficult to properly estimate the amount of building materials and labor required from design drawing data, resulting in problems with uncertainties in forecasting construction periods and costs. [Means for solving the problem]

[0005] The present invention provides a means for receiving and analyzing building design drawing data. It also includes a means for calculating the type and quantity of building materials required based on the extracted structural information. It also includes a means for creating an optimal construction period and schedule based on labor information entered by the user, and generating an estimate based on the calculated amount of required building materials and labor information. Finally, it provides a means for outputting the generated estimate information, thereby providing a system that can improve the accuracy and efficiency of overall estimating work.

[0006] "Design drawing data" refers to drawing information in digital or paper format that shows the structure, layout, dimensions, etc. of a building.

[0007] "Analysis" refers to the process of extracting structural information about a building from the received design drawing data and calculating and evaluating it.

[0008] "Structural information" refers to information about the elements that make up a building, such as the layout of rooms in the building, the length of walls, floor area, and roof structure.

[0009] "Building materials" refers to specific materials and parts used in the construction of a building (e.g., wall materials, floor materials, roof materials, etc.).

[0010] "Labor information" refers to information about the number of people required for construction work and the availability of each worker (e.g., the number of hours each person can work per day).

[0011] "Construction period" refers to the number of days or hours required to complete construction work.

[0012] A "schedule" is a work plan that includes the start and end dates for each work stage in a construction project.

[0013] An "estimate" is a written calculation of the total cost of construction work.

[0014] "User" means the person or entity that uploads engineering drawing data and inputs labor information.

[0015] A "server" is a computer system that analyzes design drawing data, calculates the required building materials, creates construction periods and schedules, generates estimates, and outputs the results. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram illustrating a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate.

[0038] System configuration

[0039] 1. Program Overview

[0040] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[0041] The terminal allows users to upload design drawing data, input labor information, and display the final results.

[0042] The user is responsible for initial input and confirmation of the system.

[0043] Explaining program processing in natural language

[0044] 1. Receiving and analyzing drawing data

[0045] The user uploads the building design drawing data from their device to the server. The design drawing data is often in PDF or CAD format.

[0046] The server receives the uploaded drawing data, determines the data format, and selects the appropriate analysis library. For example, if it is a PDF file, it will use the PDF analysis library, and if it is a CAD file, it will use the CAD analysis library.

[0047] The server uses an analysis library to extract building structural information (room boundaries, wall lengths, floor area, etc.) from the design drawings.

[0048] 2. Calculate the amount of building materials needed

[0049] The server calculates the amount of building materials required based on the extracted structural information. For example, it calculates the amount of wall material required from the wall area and the amount of floor material required from the floor area.

[0050] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0051] 3. Labor and construction time calculations

[0052] The user inputs the number of people working on the construction project and the working capacity per person (e.g., working hours per day) on the terminal.

[0053] Based on the input labor information, the server calculates the time required for each work process to determine the total construction time, then calculates the overall construction period and generates a detailed work schedule.

[0054] 4. Generate a quote

[0055] The server automatically generates an estimate based on the amount of materials needed, the number of days required for construction, and the cost of labor, retrieving information on the unit prices of materials and labor costs from a database.

[0056] The server adds up all the expenses and generates a total cost estimate.

[0057] 5. Outputting the results

[0058] The server converts the calculation results and estimate information into an appropriate format and sends them to the terminal.

[0059] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[0060] Specific examples

[0061] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0062] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0063] The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., flooring), and roofing materials.

[0064] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0065] The server calculates the total construction time and determines the overall construction period to be three days. It then generates a detailed work schedule.

[0066] The server calculates an estimate based on materials and labor costs and displays the total cost.

[0067] The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[0068] In this way, the system of the present invention can automate a series of cost estimation tasks efficiently and accurately based on building design drawing data.

[0069] The processing flow will be explained below.

[0070] Step 1:

[0071] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0072] Step 2:

[0073] The server receives the uploaded design drawing data and determines the file format, for example, whether it is a PDF file or a CAD file.

[0074] Step 3:

[0075] The server selects the appropriate parsing library based on the identified file type: for PDF files, it uses the PDF parsing library, for CAD files, it uses the CAD parsing library.

[0076] Step 4:

[0077] The server uses the selected analysis library to extract building structural information from the blueprints, including room layout, wall lengths, floor area, and other information.

[0078] Step 5:

[0079] The server calculates the type and quantity of building materials based on the extracted structural information. For example, it calculates the required amount of wall material from the wall area, and the required amount of flooring material from the floor area.

[0080] Step 6:

[0081] The server retrieves information such as the standard thickness and size of each building material from a database and calculates the required amount based on that information.

[0082] Step 7:

[0083] The user inputs the number of people working on the construction project and the working capacity (working hours) per person into the server from their terminal.

[0084] Step 8:

[0085] The server calculates the required construction period based on the calculated amount of building materials and the labor information entered by the user, for example, calculating how many hours each task will require.

[0086] Step 9:

[0087] The server creates a detailed work schedule based on the overall construction period, including start and end dates for each work step.

[0088] Step 10:

[0089] The server retrieves the unit prices of building materials and labor costs from a database, calculates the total cost, and generates an estimate.

[0090] Step 11:

[0091] The server formats the generated quote information and transmits it to the terminal.

[0092] Step 12:

[0093] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[0094] Example 1

[0095] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0096] In the modern construction industry, manually calculating the type and quantity of building materials, construction period, schedule, and estimates from building design drawings is extremely time-consuming and labor-intensive. Furthermore, calculation errors and data inconsistencies frequently occur, causing major disruptions to overall project management. To solve these issues, an automated system is needed.

[0097] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0098] In this invention, the server includes a means for receiving design drawing data of a building, a means for analyzing the design drawing data to extract structural information of the building, and a means for calculating the types and quantities of building materials required based on the extracted structural information, thereby enabling quick and accurate calculation of the required building materials from the design drawings.

[0099] "Building design drawing data" refers to data in digital format that represents the structure, layout, dimensions, etc. of a building, and includes formats such as PDF and CAD.

[0100] "Analysis" is the technical process of analyzing digital data and extracting specific information.

[0101] "Structural information" refers to information such as room boundaries, wall lengths, and floor area extracted from building blueprints.

[0102] "Building materials" are materials necessary for the construction of buildings, including wall materials, floor materials, roof materials, etc.

[0103] "Labor force information" refers to data on the number of people engaged in construction work and the working capacity per person (e.g., working hours per day).

[0104] "Construction period" refers to the total time required to construct a building, measured from the start date to the finish date.

[0105] A "schedule" is a work plan that includes specific start and end dates for each work step.

[0106] An "estimate" is a total cost calculated based on the amount of building materials needed, the cost of labor, and other expenses.

[0107] A "database" is a system for efficiently storing and managing related data.

[0108] A "parsing library" is a software component for parsing a particular digital data format.

[0109] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system starts with receiving the design drawing data and performs a series of processes from analysis, calculation, schedule generation, estimate generation, and output of the final results.

[0110] Hardware and software used

[0111] server:

[0112] The server has the following main functions:

[0113] Receiving design drawing data: Receives design drawing data (PDF or CAD format) uploaded by users.

[0114] Format detection: Determines the file format of the received drawing data and selects the PDF or CAD analysis library.

[0115] Data Analysis: Extract building structural information from design drawings using selected analysis libraries.

[0116] Calculate the amount of building materials: Based on the extracted structural information, calculate the type and amount of building materials required. Obtain the standard thickness and size of building materials from the database and use them in the calculation.

[0117] Construction period and schedule generation: Based on the labor information entered by the user, the system calculates the time required for each work process, calculates the overall construction period, and generates a detailed work schedule.

[0118] Generate estimates: Automatically generate estimates based on the quantity of materials needed, construction time, and labor costs. Information on material unit prices and labor costs is retrieved from a database.

[0119] Output of results: Convert the calculation results and estimate information into an appropriate format and send them to the terminal.

[0120] Device:

[0121] The terminal is used by the user and has the following functions:

[0122] Uploading drawing data: Provides a user interface for uploading design drawing data to the server.

[0123] Input of labor force information: Provides a form for inputting the number of people engaged in construction work and the working capacity per person.

[0124] Displaying results: The list of required building materials, construction schedule, and estimate results sent from the server are displayed to the user.

[0125] User:

[0126] The user is responsible for:

[0127] Initial input: Use the terminal to upload design drawing data to the server and enter labor information.

[0128] Results confirmation: Review the final calculation results, schedule, and estimate results.

[0129] Specific examples

[0130] 1. The user uploads a design drawing (PDF) of a two-story house from their device to the server.

[0131] 2. The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0132] 3. The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., wood flooring), and roofing materials.

[0133] 4. The user enters the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0134] 5. The server calculates the total construction time and determines the overall construction period to be 3 days. It then generates a detailed work schedule.

[0135] 6. The server calculates an estimate based on materials and labor costs and displays the total cost.

[0136] 7. The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[0137] Prompt Sentence Examples

[0138] "Upload the design drawing data (PDF) of a two-story house and automatically calculate the amount of building materials required, construction period and schedule, and estimate."

[0139] "Calculate the type of building materials (such as drywall, flooring, roofing, etc.) and the required quantities, calculate the construction time based on labor information, and generate an estimate."

[0140] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0141] Step 1:

[0142] A user uses a terminal to upload building design drawing data (PDF or CAD format) to the server. The input is the design drawing data, and the output is a data file received by the server. Specifically, the user selects the design drawing file using the upload function of the terminal and sends it to the server.

[0143] Step 2:

[0144] The server receives the uploaded design drawing data and determines its format. The input is the design drawing data received in step 1, and the output is the selection result of the library to be applied to the analysis. Specifically, the server checks the file extension, and if it is PDF, it selects the PDF analysis library, and if it is CAD, it selects the CAD analysis library.

[0145] Step 3:

[0146] The server uses the selected analysis library (e.g., PDF analysis library or CAD analysis library) to extract building structural information from the design drawing data. The input is the design drawing data and the selected analysis library, and the output is building structural information (e.g., room boundaries, wall lengths, floor area, etc.). Specifically, the server calls the library's API and analyzes the design drawing data.

[0147] Step 4:

[0148] The server calculates the types and quantities of building materials required based on the extracted structural information. The input is structural information and information on the standard thickness and size of building materials obtained from a database, and the output is a list of building material types and quantities. Specifically, the server calculates the required amount of flooring material from the floor area and the required amount of wall material from the wall area.

[0149] Step 5:

[0150] The user uses a terminal to input labor information such as the number of people engaged in construction work and the working hours per person. The input is information about labor entered through the terminal, and the output is labor information data stored on the server side. Specifically, the user enters the number of people and the working hours per person into the input form on the terminal and sends it to the server.

[0151] Step 6:

[0152] The server calculates the time required for each work process based on the input labor information, and generates the total construction time and a detailed work schedule. The input is labor information and information on the type and quantity of building materials, and the output is the construction period and a detailed work schedule. Specifically, the server calculates the time required for each work process and adds them up to determine the total construction period.

[0153] Step 7:

[0154] The server automatically creates an estimate based on the amount of building materials, the number of days for construction, and the cost of labor. The inputs are the amount of building materials, the construction period, and the unit price of building materials and labor cost information obtained from the database, and the output is the estimate result. Specifically, the server calculates the total cost based on the unit price and required amount of building materials and labor cost.

[0155] Step 8:

[0156] The server converts the calculation results and estimate information into an appropriate format and sends it to the terminal. The input is the calculation results and estimate information, and the output is data in a format that can be viewed by the user. Specifically, the server converts the results into a format such as JSON or XML and sends it to the terminal.

[0157] Step 9:

[0158] The terminal displays to the user the list of required building materials, construction schedule, and estimate results received from the server. The input is the display data sent from the server, and the output is a display of the results that the user can visually check. Specifically, the terminal uses a web browser or similar to appropriately render the received data and display it to the user.

[0159] (Application example 1)

[0160] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0161] The problem that this invention aims to solve is to provide a system that can efficiently perform on-site patrol planning and progress confirmation in addition to the conventional technology that automatically generates the type and quantity of building materials required, the optimal construction period and schedule, and estimates based on building design drawing data. There is a demand for a specific means to grasp on-site information in real time and improve the accuracy of plans.

[0162] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0163] In this invention, the server includes means for receiving design drawing data, means for analyzing the design drawing data and extracting structural information of the building, means for calculating the type and quantity of building materials required based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated amount of required building materials and labor information, means for outputting the generated estimate information, and means for planning site patrols and checking progress based on the results of the design drawing data analysis, thereby enabling the efficiency and accuracy of construction plans to be improved.

[0164] 1. "Design drawing data" refers to a data file containing building design information, provided in formats such as PDF or CAD.

[0165] 2. "Structural information" refers to information such as the boundaries of rooms in a building, wall lengths, and floor area extracted from design drawing data.

[0166] 3. "Building materials" is a general term for materials necessary for the construction of buildings, including wall materials, floor materials, roofing materials, etc.

[0167] 4. "Labor force information" is information entered by the user regarding the number of people engaged in construction work and the working capacity per person (working hours per day).

[0168] 5. "Construction period" refers to the period from the start of construction work to its completion.

[0169] 6. "Schedule" means a plan showing the dates for each work process within the construction period.

[0170] 7. "Estimate" means the total cost of construction calculated based on the quantity of building materials and labor information required.

[0171] 8. "Patrol plan" is a plan for efficiently patrolling the site and checking the progress of construction work.

[0172] 9. "Progress check" refers to the task of checking the progress of work at a construction site.

[0173] This system automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate based on the design drawing data of a building. Furthermore, by adding a means to plan site visits and check progress based on the results of design drawing data analysis, the system streamlines the overall management of a construction project. This system is realized through the collaboration of a server, terminals, and users.

[0174] The server receives and analyzes the design drawing data using a PDF analysis library and a CAD analysis library. These libraries extract structural information from the design drawing, such as room boundaries, wall lengths, and floor area. Based on the extracted structural information, the server calculates the type and quantity of building materials required. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[0175] The terminal provides an interface for users to upload design drawing data and input labor information. Once the user inputs the number of people required for the construction project and the number of hours worked per day, the server uses this information to calculate the time required for each work process and determine the total construction time. It then calculates the overall construction period and generates a detailed schedule.

[0176] The server then automatically creates an estimate based on the calculated amount of building materials needed and labor information. Information on the unit prices of building materials and labor costs is retrieved from a database and added up to generate an estimate of the total cost. The generated estimate information is output to the user via a terminal.

[0177] Furthermore, the server creates a site patrol plan based on the results of design drawing data analysis and checks progress, allowing for real-time information on the site and improving the accuracy of the plan.

[0178] Specific names of hardware and software used

[0179] Hardware: Internet-connected PCs, tablets, smartphones, robots, etc.

[0180] Software: Python language, PDF analysis library (pdfplumber), data calculation library (numpy), graph drawing library (matplotlib)

[0181] Specific examples

[0182] For example, if you are planning to build a new manufacturing line in a factory, you can upload design drawings to the system to quickly estimate the necessary equipment, construction schedule, and construction costs.

[0183] Prompt Sentence Examples

[0184] Using the following information, calculate the quantity of materials, construction time, and cost required to build a manufacturing line:

[0185] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0186] Step 1:

[0187] The user uploads design drawing data (PDF or CAD format) to the server using a terminal. The input is the design drawing data, and the output is raw data stored on the server. This data becomes the basis for analysis.

[0188] Step 2:

[0189] The server determines the format of the uploaded design drawing data. The input is the design drawing data, and the output is the data format (PDF or CAD). The server selects the appropriate analysis library. For PDF format, it uses the PDF analysis library (pdfplumber), and for CAD format, it uses the CAD analysis library.

[0190] Step 3:

[0191] Using the selected analysis library, the server analyzes the design drawing data and extracts building structural information (room boundaries, wall lengths, floor area, etc.) The input is the design drawing data, and the output is the extracted structural information.

[0192] Step 4:

[0193] The server uses a data calculation library (numpy) to calculate the type and amount of building materials required based on the extracted structural information. The input is the structural information, and the output is the calculated type and amount of building materials. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[0194] Step 5:

[0195] A user uses a terminal to input labor information (number of people, working hours per day). The input is labor information, and the output is labor data stored on the server. This data is used to calculate construction period and schedule.

[0196] Step 6:

[0197] The server creates the optimal construction period and schedule based on the labor information entered by the user. The input is labor information and building material calculation results, and the output is a detailed construction period and schedule. For example, it calculates the total construction time and determines a detailed work schedule.

[0198] Step 7:

[0199] The server generates an estimate based on the calculated amount of required building materials and labor information. The input is the building material calculation results and labor data, and the output is the estimate information. Information on the unit price of building materials and labor costs is obtained from the database and the total cost is calculated.

[0200] Step 8:

[0201] The server converts the generated estimate information into an appropriate format and sends it to the terminal. The input is the estimate information, and the output is estimate data in a format that can be viewed by the user. The terminal displays to the user a list of required building materials, a construction schedule, and the estimate results.

[0202] Step 9:

[0203] The server creates a site patrol plan based on the results of design drawing data analysis and sends the data to patrol devices such as robots. The input is the results of design drawing data analysis and the output is the patrol plan. The robot patrols the site, checks progress, and feeds that information back to the server.

[0204] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0205] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes, from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. Furthermore, this invention also incorporates an emotion engine that recognizes the user's emotions and adjusts the system's output based on them.

[0206] System configuration

[0207] 1. Program Overview

[0208] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[0209] The terminal allows users to upload design drawing data, input labor information, collect emotion data, and display the final results.

[0210] The user is responsible for initial input and confirmation of the system.

[0211] The emotion engine analyzes the user's emotions in real time and dynamically adjusts the system's output based on that feedback.

[0212] Explaining program processing in natural language

[0213] 1. Receiving and analyzing drawing data

[0214] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0215] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF analysis library for PDF files, CAD analysis library for CAD files.

[0216] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[0217] 2. Calculate the amount of building materials needed

[0218] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[0219] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0220] 3. Labor and construction time calculations

[0221] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[0222] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[0223] 4. Generate a quote

[0224] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[0225] The server adds up all the expenses and generates a total cost estimate.

[0226] 5. Emotional Engine Adjustment

[0227] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[0228] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[0229] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[0230] 6. Outputting the results

[0231] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[0232] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[0233] Specific examples

[0234] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0235] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0236] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[0237] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0238] The server calculates the total construction time and duration and generates a detailed work schedule.

[0239] The server calculates an estimate based on materials and labor costs and generates a total cost.

[0240] The terminal collects the user's emotions and sends them to the emotion engine.

[0241] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[0242] The server formats the final calculation results and sends them to the terminal.

[0243] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[0244] The system of the present invention allows flexible responses according to the user's emotions, and can efficiently perform estimation work with higher accuracy.

[0245] The processing flow will be explained below.

[0246] Step 1:

[0247] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0248] Step 2:

[0249] The server receives the uploaded design drawing data and determines the file format. If it is a PDF file, it uses a PDF parsing library, and if it is a CAD file, it uses a CAD parsing library.

[0250] Step 3:

[0251] The server uses an analysis library to extract building structural information from blueprints, such as room layout, wall length, floor area, and window and door locations.

[0252] Step 4:

[0253] The server calculates the type and amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring material needed based on the floor area.

[0254] Step 5:

[0255] The server retrieves the standard thickness and size of each building material from the database and uses this information in calculations, allowing for highly accurate calculations of the required amount of building materials.

[0256] Step 6:

[0257] The user inputs the number of people working on the construction project (e.g., 10 people) and the working capacity per person (e.g., 8 hours per day) from the terminal.

[0258] Step 7:

[0259] The server calculates the time required for each work process based on the input labor information, for example, how long it will take to install wall coverings.

[0260] Step 8:

[0261] The server calculates the total construction time, determines the overall construction period, and then creates a detailed work schedule with start and end dates for each work step.

[0262] Step 9:

[0263] The server retrieves the unit prices of the building materials from the database and calculates the cost of the building materials based on the aforementioned required quantities, as well as the labor costs, to generate a total cost estimate.

[0264] Step 10:

[0265] The device collects the user's emotional data, for example, through facial expression recognition and voice analysis, and sends the real-time emotional data to the emotion engine.

[0266] Step 11:

[0267] The emotion engine analyzes the user's emotions and adjusts the system's response accordingly, for example, if the user is anxious, it may send instructions to the server to display additional explanations or illustrations.

[0268] Step 12:

[0269] The server dynamically changes the way estimates are presented and the detailed schedule display according to the instructions of the emotion engine.

[0270] Step 13:

[0271] The server converts the final calculation results and adjusted quote information into an appropriate format and sends them to the terminal.

[0272] Step 14:

[0273] The device displays to the user a list of required building materials, construction schedule, and estimate results in real time, along with additional information and explanations based on feedback from the emotion engine, if needed.

[0274] Example 2

[0275] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0276] In the conventional building design process, manually calculating the required quantity of building materials, construction period, and estimates from design drawings was a time-consuming and labor-intensive process. Additionally, there was a lack of flexibility in providing additional detailed explanations and materials to address users' concerns and questions. Furthermore, selecting analysis methods according to the design drawing format and optimizing construction periods also required manual steps, making efficient project management difficult.

[0277] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0278] In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data to extract structural information about the building, and means for calculating the type and quantity of building materials required based on the extracted structural information. This also includes an emotion engine for collecting and analyzing user emotion data, means for dynamically adjusting system output based on the analysis results of the emotion engine, means for outputting generated estimate information, means for determining the format of the design drawing data and selecting an appropriate analysis library, and means for calculating the start and end dates of each work process based on the calculated construction period and schedule. This automates the entire process from design drawing analysis to estimate generation, and also enables flexible responses to user emotions.

[0279] "Design drawing data" refers to electronic files containing drawing information related to building designs. Typical formats are PDF and CAD.

[0280] "Analysis Library" means a collection of software tools and programs for analyzing engineering drawing data, including specialized libraries for accommodating different file formats.

[0281] "Building structural information" refers to information about the specific structure of a building, such as the layout of the building, the shape of the rooms, the length of the walls, and the floor area, extracted from the design drawings.

[0282] "Building materials" means materials used in the construction of buildings, including, for example, gypsum board, flooring, and concrete.

[0283] "Labor force information" refers to detailed information about labor, such as the number of workers engaged in construction work and the available working hours per person.

[0284] An "estimate" is a calculation of the total cost of a building project, including the types and quantities of materials needed and labor costs.

[0285] "Emotion data" refers to information about the user's emotional state, such as anxiety, relief, or doubt.

[0286] An "emotion engine" is a software component that analyzes user emotional data and dynamically adjusts the system's output based on the results.

[0287] MODE FOR CARRYING OUT THE INVENTION

[0288] This system analyzes building design drawings and automatically generates the required amount of building materials, the optimal construction period and schedule, and an estimate. It performs a series of processes, from receiving and analyzing design drawing data, calculating the amount of required building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. It also has an emotion engine that recognizes the user's emotions and adjusts the system's output based on that feedback.

[0289] Hardware and software used

[0290] Hardware:

[0291] Server: A server with high-performance computing power

[0292] Device: The computer or tablet the user uses

[0293] Input devices: keyboard, mouse

[0294] software:

[0295] Analysis libraries: PDF analysis library, CAD analysis library

[0296] Database: Stores standard information on building materials and labor costs

[0297] Emotion Engine: Emotion recognition software for analyzing user emotions

[0298] User interface: UI using a web browser

[0299] A natural language description of the system's program

[0300] 1. Receiving and analyzing drawing data

[0301] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0302] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF files are analyzed using the PDF analysis library, and CAD files are analyzed using the CAD analysis library.

[0303] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[0304] 2. Calculate the amount of building materials needed

[0305] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[0306] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0307] 3. Labor and construction time calculations

[0308] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[0309] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[0310] 4. Generate a quote

[0311] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[0312] The server adds up all the expenses and generates a total cost estimate.

[0313] 5. Emotional Engine Adjustment

[0314] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[0315] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[0316] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[0317] 6. Outputting the results

[0318] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[0319] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[0320] Specific examples

[0321] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0322] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0323] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[0324] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0325] The server calculates the total construction time and duration and generates a detailed work schedule.

[0326] The server calculates an estimate based on materials and labor costs and generates a total cost.

[0327] The terminal collects the user's emotions and sends them to the emotion engine.

[0328] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[0329] The server formats the final calculation results and sends them to the terminal.

[0330] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[0331] Prompt Sentence Examples

[0332] "Upload the design drawings (PDF format) of a two-story house into the system and have the system automatically generate the quantities of building materials needed, the optimal construction period and schedule, and an estimate."

[0333] The system allows users to quickly and accurately generate estimates for construction projects and also responds to user emotions.

[0334] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0335] Step 1: Receiving the drawing data

[0336] The user uploads the building design drawing data from their device to the server. The design drawing data is in the form of a PDF or CAD file.

[0337] Input: Design drawing data (PDF or CAD file)

[0338] Output: Design drawing data is sent to the server

[0339] Step 2: Analyze the design drawing data

[0340] The server determines the format of the uploaded design drawing data and selects either a PDF parsing library or a CAD parsing library.

[0341] Input: Design drawing data (PDF or CAD file)

[0342] Output: Analysis library selection

[0343] The server analyzes the design drawing data using the selected analysis library and extracts structural information about the building (room layout, wall length, floor area, etc.).

[0344] Input: Analysis library, design drawing data

[0345] Output: Building structural information

[0346] Step 3: Calculate the amount of building materials needed

[0347] The server uses the extracted structural information to calculate the type and amount of building materials needed, for example, calculating the amount of wall material needed from the wall area and the amount of flooring needed from the floor area.

[0348] Input: Building structural information

[0349] Output: Type and amount of building materials required

[0350] The server retrieves information on the thickness and size of standard building materials from a database and performs calculations based on this information.

[0351] Input: Building material standard information (database)

[0352] Output: Detailed information on required building materials

[0353] Step 4: Enter workforce information

[0354] The user enters the number of people working on the construction project and the working hours per person (e.g., 8 hours per day) on the terminal.

[0355] Input: Labor force information

[0356] Output: Workforce information sent to the server

[0357] Step 5: Calculate construction period and schedule

[0358] The server calculates the time required for each work process based on the input labor information, for example, the time required to install plasterboard.

[0359] Input: Labor information, type and quantity of required building materials

[0360] Output: Time per operation

[0361] The server calculates the total construction time and duration and generates a detailed work schedule.

[0362] Input: Time per operation

[0363] Output: Total construction time, construction period, detailed work schedule

[0364] Step 6: Generate a quote

[0365] The server automatically generates an estimate based on the amount of building materials required, the number of days required for construction, and labor costs. Information such as unit prices is obtained from a database.

[0366] Input: Required amount of building materials, number of construction days, labor cost information (database)

[0367] Output: Estimate information

[0368] The server formats the estimate as a total cost.

[0369] Input: Quote information

[0370] Output: Formatted quote

[0371] Step 7: Collect and analyze emotion data

[0372] The device collects the user's emotional data in real time and transmits it to the server.

[0373] Input: Emotion data

[0374] Output: Emotion data sent to the server

[0375] The emotion engine analyzes the collected emotion data to determine the user's emotional state.

[0376] Input: Emotion data

[0377] Output: Emotion analysis results

[0378] Step 8: Adjust the system's output based on emotions

[0379] Based on the analysis results, the emotion engine instructs the server to dynamically adjust the system output, for example by adding detailed explanations or graphs.

[0380] Input: Sentiment analysis results

[0381] Output: Output adjustment instructions

[0382] The server follows the instructions of the emotion engine to change the content displayed and the way estimates are presented.

[0383] Input: Output adjustment instructions

[0384] Output: Regulated system output

[0385] Step 9: Output the results

[0386] The server sends the final calculation results and estimate information to the terminal.

[0387] Input: Regulated system output

[0388] Output: Results sent to the terminal

[0389] The terminal displays the final results (list of required building materials, construction schedule, and estimate).

[0390] Input: Final result

[0391] Output: The result displayed to the user

[0392] (Application example 2)

[0393] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0394] In building construction projects, it is necessary to efficiently generate the required quantity of building materials, construction period and schedule, and estimates from design drawing data. Furthermore, to smoothly manage projects, it is important to analyze the emotions of users (workers) and provide appropriate feedback. This invention aims to solve these problems and achieve more accurate estimation and efficient schedule management by dynamically adjusting the output based on the user's emotions.

[0395] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data and extracting structural information about the building, means for calculating the type and quantity of necessary building materials based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated quantity of necessary building materials and labor information, means for collecting user emotion data, means for analyzing the collected emotion data and dynamically adjusting the system output, and means for outputting the generated estimate information. This makes it possible to automatically generate materials, construction period, and estimates from design drawing data while providing dynamic feedback and adjustments based on the user's emotions.

[0396] "Design drawing data" refers to a file format containing design information for a building or structure, such as PDF or CAD format.

[0397] "Structural information" refers to specific construction information such as the room layout, wall length, and floor area of ​​a building, extracted from design drawing data.

[0398] "Building materials" refers to specific materials required to construct a building, including, for example, wall materials and flooring materials.

[0399] "Labor information" refers to data related to labor, such as the number of workers on a construction project and the number of hours worked per day.

[0400] "Construction period" refers to the period required for the entire construction work, including the start and end dates of specific work processes.

[0401] A "schedule" is a detailed schedule of each work process in a construction project, and is set based on the construction period.

[0402] An "estimate" is a calculation of the total cost of a construction project, generated based on the quantity of building materials required and the cost of labor.

[0403] "Emotion data" is data collected to analyze a user's emotions, such as anxiety, satisfaction, doubt, etc.

[0404] "Dynamic adjustment means" refers to a mechanism that changes the system's output content in real time based on the analysis results of collected emotional data.

[0405] The present invention relates to a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system also includes a function that recognizes the user's emotions and dynamically adjusts the output as needed.

[0406] System configuration

[0407] 1. Receiving design drawing data

[0408] The server receives building design drawing data uploaded by users via their terminals, which are usually in PDF or CAD format.

[0409] 2. Analysis of design drawing data

[0410] The server analyzes the received design drawing data and extracts building structural information (room layout, wall length, floor area, etc.) using a PDF analysis library and a CAD analysis library.

[0411] 3. Calculating the amount of building materials required

[0412] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area, and the amount of flooring needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[0413] 4. Construction period and schedule generation

[0414] The server generates the optimal construction period and detailed schedule based on the labor force information (number of workers, working hours per day) entered by the user on their terminal, calculates the start and end dates for each work process, and determines the overall construction period.

[0415] 5. Generate a quote

[0416] The server generates a construction project estimate based on the calculated required building material quantities and labor information, which includes the cost of the building materials and the cost of the labor.

[0417] 6. Emotional Data Collection and Analysis

[0418] The device collects the user's emotional data and sends it to the server, based on real-time feedback or pre-entered data.

[0419] The server analyzes the emotion data using an emotion engine and dynamically adjusts the system output based on the analysis results.

[0420] 7. Outputting the results

[0421] The server generates the final results and sends them to the user's device. The results include a list of required building materials, a construction schedule, and estimate information. They also include feedback based on the emotion data.

[0422] Specific examples

[0423] The user uploads a house design drawing (PDF) from their device to the server.

[0424] The server analyzes the design drawings and extracts structural information.

[0425] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., wood flooring).

[0426] The user inputs the number of workers (e.g., 10 people) and the working hours per day (e.g., 8 hours) from the terminal.

[0427] The server calculates the total construction time and duration and generates a detailed schedule.

[0428] The server generates a quote based on materials and labor costs.

[0429] The terminal collects the user's emotion data and transmits it to the emotion engine.

[0430] The server adjusts the output content as needed based on instructions from the emotion engine.

[0431] The terminal displays the final result to the user.

[0432] Prompt Sentence Examples

[0433] Analysis of design drawing data and calculation of required building materials:

[0434] "Analyze the blueprints of a house and calculate the amount of wall and flooring needed."

[0435] Create construction periods and schedules based on labor information:

[0436] "Generate a detailed schedule with construction durations including start and end dates for each work process, assuming 10 workers can work 8 hours a day."

[0437] Adjusting output based on sentiment data:

[0438] "Adjust it to show more detailed instructions or graphs if the user is unsure."

[0439] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0440] Step 1:

[0441] The server receives the building design drawing data uploaded by the user via the terminal. The design drawing data is in PDF or CAD format. The server selects the appropriate analysis library for the received data depending on the format.

[0442] Input: Design drawing data (PDF or CAD format)

[0443] Output: Analysis Library Selection

[0444] Step 2:

[0445] The server analyzes the design drawing data using the selected analysis library to extract structural information about the building, such as room layout, wall length, and floor area.

[0446] Input: Design drawing data, analysis library

[0447] Output: Structural information (room layout, wall length, floor area)

[0448] Step 3:

[0449] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area and the amount of flooring material needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[0450] Input: structural information, building materials database

[0451] Output: Type and amount of building materials required

[0452] Step 4:

[0453] The user inputs labor information (number of workers, working hours per day) from their terminal. Based on this labor information, the server calculates the time required for each work process and calculates the total construction time. Next, it calculates the overall construction period and generates a detailed work schedule.

[0454] Input: Labor force information (number of workers, working hours per day)

[0455] Output: Detailed work schedule

[0456] Step 5:

[0457] The server generates a project estimate based on the calculated amount of required building materials and labor information, retrieves the cost of building materials and labor from the database, and calculates the total cost.

[0458] Input: Required building materials, labor information, cost database

[0459] Output: Quote

[0460] Step 6:

[0461] The device collects the user's emotional data and sends it to the server. The emotional data may be collected in real time or input in advance. The server analyzes the emotional data using an emotion engine and dynamically adjusts the system's output based on the results.

[0462] Input: Emotion data

[0463] Output: Adjusting the output based on the sentiment analysis results

[0464] Step 7:

[0465] The server formats the final calculation results (list of required building materials, construction schedule, and estimate) and sends them to the user's device, which displays these results to the user, along with additional information based on the emotion data.

[0466] Input: Final calculation results (list of required building materials, construction schedule, estimate), emotion analysis results

[0467] Output: What is displayed to the user

[0468] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0469] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0470] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0471] [Second embodiment]

[0472] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0473] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0474] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0475] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0476] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0477] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0478] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0479] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0480] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0481] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0482] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0483] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0484] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate.

[0485] System configuration

[0486] 1. Program Overview

[0487] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[0488] The terminal allows users to upload design drawing data, input labor information, and display the final results.

[0489] The user is responsible for initial input and confirmation of the system.

[0490] Explaining program processing in natural language

[0491] 1. Receiving and analyzing drawing data

[0492] The user uploads the building design drawing data from their device to the server. The design drawing data is often in PDF or CAD format.

[0493] The server receives the uploaded drawing data, determines the data format, and selects the appropriate analysis library. For example, if it is a PDF file, it will use the PDF analysis library, and if it is a CAD file, it will use the CAD analysis library.

[0494] The server uses an analysis library to extract building structural information (room boundaries, wall lengths, floor area, etc.) from the design drawings.

[0495] 2. Calculate the amount of building materials needed

[0496] The server calculates the amount of building materials required based on the extracted structural information. For example, it calculates the amount of wall material required from the wall area and the amount of floor material required from the floor area.

[0497] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0498] 3. Labor and construction time calculations

[0499] The user inputs the number of people working on the construction project and the working capacity per person (e.g., working hours per day) on the terminal.

[0500] Based on the input labor information, the server calculates the time required for each work process to determine the total construction time, then calculates the overall construction period and generates a detailed work schedule.

[0501] 4. Generate a quote

[0502] The server automatically generates an estimate based on the amount of materials needed, the number of days required for construction, and the cost of labor, retrieving information on the unit prices of materials and labor costs from a database.

[0503] The server adds up all the expenses and generates a total cost estimate.

[0504] 5. Outputting the results

[0505] The server converts the calculation results and estimate information into an appropriate format and sends them to the terminal.

[0506] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[0507] Specific examples

[0508] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0509] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0510] The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., flooring), and roofing materials.

[0511] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0512] The server calculates the total construction time and determines the overall construction period to be three days. It then generates a detailed work schedule.

[0513] The server calculates an estimate based on materials and labor costs and displays the total cost.

[0514] The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[0515] In this way, the system of the present invention can automate a series of cost estimation tasks efficiently and accurately based on building design drawing data.

[0516] The processing flow will be explained below.

[0517] Step 1:

[0518] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0519] Step 2:

[0520] The server receives the uploaded design drawing data and determines the file format, for example, whether it is a PDF file or a CAD file.

[0521] Step 3:

[0522] The server selects the appropriate parsing library based on the identified file type: for PDF files, it uses the PDF parsing library, for CAD files, it uses the CAD parsing library.

[0523] Step 4:

[0524] The server uses the selected analysis library to extract building structural information from the blueprints, including room layout, wall lengths, floor area, and other information.

[0525] Step 5:

[0526] The server calculates the type and quantity of building materials based on the extracted structural information. For example, it calculates the required amount of wall material from the wall area, and the required amount of flooring material from the floor area.

[0527] Step 6:

[0528] The server retrieves information such as the standard thickness and size of each building material from a database and calculates the required amount based on that information.

[0529] Step 7:

[0530] The user inputs the number of people working on the construction project and the working capacity (working hours) per person into the server from their terminal.

[0531] Step 8:

[0532] The server calculates the required construction period based on the calculated amount of building materials and the labor information entered by the user, for example, calculating how many hours each task will require.

[0533] Step 9:

[0534] The server creates a detailed work schedule based on the overall construction period, including start and end dates for each work step.

[0535] Step 10:

[0536] The server retrieves the unit prices of building materials and labor costs from a database, calculates the total cost, and generates an estimate.

[0537] Step 11:

[0538] The server formats the generated quote information and transmits it to the terminal.

[0539] Step 12:

[0540] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[0541] Example 1

[0542] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0543] In the modern construction industry, manually calculating the type and quantity of building materials, construction period, schedule, and estimates from building design drawings is extremely time-consuming and labor-intensive. Furthermore, calculation errors and data inconsistencies frequently occur, causing major disruptions to overall project management. To solve these issues, an automated system is needed.

[0544] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0545] In this invention, the server includes a means for receiving design drawing data of a building, a means for analyzing the design drawing data to extract structural information of the building, and a means for calculating the types and quantities of building materials required based on the extracted structural information, thereby enabling quick and accurate calculation of the required building materials from the design drawings.

[0546] "Building design drawing data" refers to data in digital format that represents the structure, layout, dimensions, etc. of a building, and includes formats such as PDF and CAD.

[0547] "Analysis" is the technical process of analyzing digital data and extracting specific information.

[0548] "Structural information" refers to information such as room boundaries, wall lengths, and floor area extracted from building blueprints.

[0549] "Building materials" are materials necessary for the construction of buildings, including wall materials, floor materials, roof materials, etc.

[0550] "Labor force information" refers to data on the number of people engaged in construction work and the working capacity per person (e.g., working hours per day).

[0551] "Construction period" refers to the total time required to construct a building, measured from the start date to the finish date.

[0552] A "schedule" is a work plan that includes specific start and end dates for each work step.

[0553] An "estimate" is a total cost calculated based on the amount of building materials needed, the cost of labor, and other expenses.

[0554] A "database" is a system for efficiently storing and managing related data.

[0555] A "parsing library" is a software component for parsing a particular digital data format.

[0556] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system starts with receiving the design drawing data and performs a series of processes from analysis, calculation, schedule generation, estimate generation, and output of the final results.

[0557] Hardware and software used

[0558] server:

[0559] The server has the following main functions:

[0560] Receiving design drawing data: Receives design drawing data (PDF or CAD format) uploaded by users.

[0561] Format detection: Determines the file format of the received drawing data and selects the PDF or CAD analysis library.

[0562] Data Analysis: Extract building structural information from design drawings using selected analysis libraries.

[0563] Calculate the amount of building materials: Based on the extracted structural information, calculate the type and amount of building materials required. Obtain the standard thickness and size of building materials from the database and use them in the calculation.

[0564] Construction period and schedule generation: Based on the labor information entered by the user, the system calculates the time required for each work process, calculates the overall construction period, and generates a detailed work schedule.

[0565] Generate estimates: Automatically generate estimates based on the quantity of materials needed, construction time, and labor costs. Information on material unit prices and labor costs is retrieved from a database.

[0566] Output of results: Convert the calculation results and estimate information into an appropriate format and send them to the terminal.

[0567] Device:

[0568] The terminal is used by the user and has the following functions:

[0569] Uploading drawing data: Provides a user interface for uploading design drawing data to the server.

[0570] Input of labor force information: Provides a form for inputting the number of people engaged in construction work and the working capacity per person.

[0571] Displaying results: The list of required building materials, construction schedule, and estimate results sent from the server are displayed to the user.

[0572] User:

[0573] The user is responsible for:

[0574] Initial input: Use the terminal to upload design drawing data to the server and enter labor information.

[0575] Results confirmation: Review the final calculation results, schedule, and estimate results.

[0576] Specific examples

[0577] 1. The user uploads a design drawing (PDF) of a two-story house from their device to the server.

[0578] 2. The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0579] 3. The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., wood flooring), and roofing materials.

[0580] 4. The user enters the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0581] 5. The server calculates the total construction time and determines the overall construction period to be 3 days. It then generates a detailed work schedule.

[0582] 6. The server calculates an estimate based on materials and labor costs and displays the total cost.

[0583] 7. The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[0584] Prompt Sentence Examples

[0585] "Upload the design drawing data (PDF) of a two-story house and automatically calculate the amount of building materials required, construction period and schedule, and estimate."

[0586] "Calculate the type of building materials (such as drywall, flooring, roofing, etc.) and the required quantities, calculate the construction time based on labor information, and generate an estimate."

[0587] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0588] Step 1:

[0589] A user uses a terminal to upload building design drawing data (PDF or CAD format) to the server. The input is the design drawing data, and the output is a data file received by the server. Specifically, the user selects the design drawing file using the upload function of the terminal and sends it to the server.

[0590] Step 2:

[0591] The server receives the uploaded design drawing data and determines its format. The input is the design drawing data received in step 1, and the output is the selection result of the library to be applied to the analysis. Specifically, the server checks the file extension, and if it is PDF, it selects the PDF analysis library, and if it is CAD, it selects the CAD analysis library.

[0592] Step 3:

[0593] The server uses the selected analysis library (e.g., PDF analysis library or CAD analysis library) to extract building structural information from the design drawing data. The input is the design drawing data and the selected analysis library, and the output is building structural information (e.g., room boundaries, wall lengths, floor area, etc.). Specifically, the server calls the library's API and analyzes the design drawing data.

[0594] Step 4:

[0595] The server calculates the types and quantities of building materials required based on the extracted structural information. The input is structural information and information on the standard thickness and size of building materials obtained from a database, and the output is a list of building material types and quantities. Specifically, the server calculates the required amount of flooring material from the floor area and the required amount of wall material from the wall area.

[0596] Step 5:

[0597] The user uses a terminal to input labor information such as the number of people engaged in construction work and the working hours per person. The input is information about labor entered through the terminal, and the output is labor information data stored on the server side. Specifically, the user enters the number of people and the working hours per person into the input form on the terminal and sends it to the server.

[0598] Step 6:

[0599] The server calculates the time required for each work process based on the input labor information, and generates the total construction time and a detailed work schedule. The input is labor information and information on the type and quantity of building materials, and the output is the construction period and a detailed work schedule. Specifically, the server calculates the time required for each work process and adds them up to determine the total construction period.

[0600] Step 7:

[0601] The server automatically creates an estimate based on the amount of building materials, the number of days for construction, and the cost of labor. The inputs are the amount of building materials, the construction period, and the unit price of building materials and labor cost information obtained from the database, and the output is the estimate result. Specifically, the server calculates the total cost based on the unit price and required amount of building materials and labor cost.

[0602] Step 8:

[0603] The server converts the calculation results and estimate information into an appropriate format and sends it to the terminal. The input is the calculation results and estimate information, and the output is data in a format that can be viewed by the user. Specifically, the server converts the results into a format such as JSON or XML and sends it to the terminal.

[0604] Step 9:

[0605] The terminal displays to the user the list of required building materials, construction schedule, and estimate results received from the server. The input is the display data sent from the server, and the output is a display of the results that the user can visually check. Specifically, the terminal uses a web browser or similar to appropriately render the received data and display it to the user.

[0606] (Application example 1)

[0607] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0608] The problem that this invention aims to solve is to provide a system that can efficiently perform on-site patrol planning and progress confirmation in addition to the conventional technology that automatically generates the type and quantity of building materials required, the optimal construction period and schedule, and estimates based on building design drawing data. There is a demand for a specific means to grasp on-site information in real time and improve the accuracy of plans.

[0609] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0610] In this invention, the server includes means for receiving design drawing data, means for analyzing the design drawing data and extracting structural information of the building, means for calculating the type and quantity of building materials required based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated amount of required building materials and labor information, means for outputting the generated estimate information, and means for planning site patrols and checking progress based on the results of the design drawing data analysis, thereby enabling the efficiency and accuracy of construction plans to be improved.

[0611] 1. "Design drawing data" refers to a data file containing building design information, provided in formats such as PDF or CAD.

[0612] 2. "Structural information" refers to information such as the boundaries of rooms in a building, wall lengths, and floor area extracted from design drawing data.

[0613] 3. "Building materials" is a general term for materials necessary for the construction of buildings, including wall materials, floor materials, roofing materials, etc.

[0614] 4. "Labor force information" is information entered by the user regarding the number of people engaged in construction work and the working capacity per person (working hours per day).

[0615] 5. "Construction period" refers to the period from the start of construction work to its completion.

[0616] 6. "Schedule" means a plan showing the dates for each work process within the construction period.

[0617] 7. "Estimate" means the total cost of construction calculated based on the quantity of building materials and labor information required.

[0618] 8. "Patrol plan" is a plan for efficiently patrolling the site and checking the progress of construction work.

[0619] 9. "Progress check" refers to the task of checking the progress of work at a construction site.

[0620] This system automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate based on the design drawing data of a building. Furthermore, by adding a means to plan site visits and check progress based on the results of design drawing data analysis, the system streamlines the overall management of a construction project. This system is realized through the collaboration of a server, terminals, and users.

[0621] The server receives and analyzes the design drawing data using a PDF analysis library and a CAD analysis library. These libraries extract structural information from the design drawing, such as room boundaries, wall lengths, and floor area. Based on the extracted structural information, the server calculates the type and quantity of building materials required. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[0622] The terminal provides an interface for users to upload design drawing data and input labor information. Once the user inputs the number of people required for the construction project and the number of hours worked per day, the server uses this information to calculate the time required for each work process and determine the total construction time. It then calculates the overall construction period and generates a detailed schedule.

[0623] The server then automatically creates an estimate based on the calculated amount of building materials needed and labor information. Information on the unit prices of building materials and labor costs is retrieved from a database and added up to generate an estimate of the total cost. The generated estimate information is output to the user via a terminal.

[0624] Furthermore, the server creates a site patrol plan based on the results of design drawing data analysis and checks progress, allowing for real-time information on the site and improving the accuracy of the plan.

[0625] Specific names of hardware and software used

[0626] Hardware: Internet-connected PCs, tablets, smartphones, robots, etc.

[0627] Software: Python language, PDF analysis library (pdfplumber), data calculation library (numpy), graph drawing library (matplotlib)

[0628] Specific examples

[0629] For example, if you are planning to build a new manufacturing line in a factory, you can upload design drawings to the system to quickly estimate the necessary equipment, construction schedule, and construction costs.

[0630] Prompt Sentence Examples

[0631] Using the following information, calculate the quantity of materials, construction time, and cost required to build a manufacturing line:

[0632] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0633] Step 1:

[0634] The user uploads design drawing data (PDF or CAD format) to the server using a terminal. The input is the design drawing data, and the output is raw data stored on the server. This data becomes the basis for analysis.

[0635] Step 2:

[0636] The server determines the format of the uploaded design drawing data. The input is the design drawing data, and the output is the data format (PDF or CAD). The server selects the appropriate analysis library. For PDF format, it uses the PDF analysis library (pdfplumber), and for CAD format, it uses the CAD analysis library.

[0637] Step 3:

[0638] Using the selected analysis library, the server analyzes the design drawing data and extracts building structural information (room boundaries, wall lengths, floor area, etc.) The input is the design drawing data, and the output is the extracted structural information.

[0639] Step 4:

[0640] The server uses a data calculation library (numpy) to calculate the type and amount of building materials required based on the extracted structural information. The input is the structural information, and the output is the calculated type and amount of building materials. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[0641] Step 5:

[0642] A user uses a terminal to input labor information (number of people, working hours per day). The input is labor information, and the output is labor data stored on the server. This data is used to calculate construction period and schedule.

[0643] Step 6:

[0644] The server creates the optimal construction period and schedule based on the labor information entered by the user. The input is labor information and building material calculation results, and the output is a detailed construction period and schedule. For example, it calculates the total construction time and determines a detailed work schedule.

[0645] Step 7:

[0646] The server generates an estimate based on the calculated amount of required building materials and labor information. The input is the building material calculation results and labor data, and the output is the estimate information. Information on the unit price of building materials and labor costs is obtained from the database and the total cost is calculated.

[0647] Step 8:

[0648] The server converts the generated estimate information into an appropriate format and sends it to the terminal. The input is the estimate information, and the output is estimate data in a format that can be viewed by the user. The terminal displays to the user a list of required building materials, a construction schedule, and the estimate results.

[0649] Step 9:

[0650] The server creates a site patrol plan based on the results of design drawing data analysis and sends the data to patrol devices such as robots. The input is the results of design drawing data analysis and the output is the patrol plan. The robot patrols the site, checks progress, and feeds that information back to the server.

[0651] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0652] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes, from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. Furthermore, this invention also incorporates an emotion engine that recognizes the user's emotions and adjusts the system's output based on them.

[0653] System configuration

[0654] 1. Program Overview

[0655] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[0656] The terminal allows users to upload design drawing data, input labor information, collect emotion data, and display the final results.

[0657] The user is responsible for initial input and confirmation of the system.

[0658] The emotion engine analyzes the user's emotions in real time and dynamically adjusts the system's output based on that feedback.

[0659] Explaining program processing in natural language

[0660] 1. Receiving and analyzing drawing data

[0661] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0662] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF analysis library for PDF files, CAD analysis library for CAD files.

[0663] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[0664] 2. Calculate the amount of building materials needed

[0665] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[0666] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0667] 3. Labor and construction time calculations

[0668] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[0669] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[0670] 4. Generate a quote

[0671] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[0672] The server adds up all the expenses and generates a total cost estimate.

[0673] 5. Emotional Engine Adjustment

[0674] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[0675] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[0676] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[0677] 6. Outputting the results

[0678] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[0679] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[0680] Specific examples

[0681] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0682] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0683] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[0684] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0685] The server calculates the total construction time and duration and generates a detailed work schedule.

[0686] The server calculates an estimate based on materials and labor costs and generates a total cost.

[0687] The terminal collects the user's emotions and sends them to the emotion engine.

[0688] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[0689] The server formats the final calculation results and sends them to the terminal.

[0690] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[0691] The system of the present invention allows flexible responses according to the user's emotions, and can efficiently perform estimation work with higher accuracy.

[0692] The processing flow will be explained below.

[0693] Step 1:

[0694] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0695] Step 2:

[0696] The server receives the uploaded design drawing data and determines the file format. If it is a PDF file, it uses a PDF parsing library, and if it is a CAD file, it uses a CAD parsing library.

[0697] Step 3:

[0698] The server uses an analysis library to extract building structural information from blueprints, such as room layout, wall length, floor area, and window and door locations.

[0699] Step 4:

[0700] The server calculates the type and amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring material needed based on the floor area.

[0701] Step 5:

[0702] The server retrieves the standard thickness and size of each building material from the database and uses this information in calculations, allowing for highly accurate calculations of the required amount of building materials.

[0703] Step 6:

[0704] The user inputs the number of people working on the construction project (e.g., 10 people) and the working capacity per person (e.g., 8 hours per day) from the terminal.

[0705] Step 7:

[0706] The server calculates the time required for each work process based on the input labor information, for example, how long it will take to install wall coverings.

[0707] Step 8:

[0708] The server calculates the total construction time, determines the overall construction period, and then creates a detailed work schedule with start and end dates for each work step.

[0709] Step 9:

[0710] The server retrieves the unit prices of the building materials from the database and calculates the cost of the building materials based on the aforementioned required quantities, as well as the labor costs, to generate a total cost estimate.

[0711] Step 10:

[0712] The device collects the user's emotional data, for example, through facial expression recognition and voice analysis, and sends the real-time emotional data to the emotion engine.

[0713] Step 11:

[0714] The emotion engine analyzes the user's emotions and adjusts the system's response accordingly, for example, if the user is anxious, it may send instructions to the server to display additional explanations or illustrations.

[0715] Step 12:

[0716] The server dynamically changes the way estimates are presented and the detailed schedule display according to the instructions of the emotion engine.

[0717] Step 13:

[0718] The server converts the final calculation results and adjusted quote information into an appropriate format and sends them to the terminal.

[0719] Step 14:

[0720] The device displays to the user a list of required building materials, construction schedule, and estimate results in real time, along with additional information and explanations based on feedback from the emotion engine, if needed.

[0721] Example 2

[0722] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0723] In the conventional building design process, manually calculating the required quantity of building materials, construction period, and estimates from design drawings was a time-consuming and labor-intensive process. Additionally, there was a lack of flexibility in providing additional detailed explanations and materials to address users' concerns and questions. Furthermore, selecting analysis methods according to the design drawing format and optimizing construction periods also required manual steps, making efficient project management difficult.

[0724] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0725] In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data to extract structural information about the building, and means for calculating the type and quantity of building materials required based on the extracted structural information. This also includes an emotion engine for collecting and analyzing user emotion data, means for dynamically adjusting system output based on the analysis results of the emotion engine, means for outputting generated estimate information, means for determining the format of the design drawing data and selecting an appropriate analysis library, and means for calculating the start and end dates of each work process based on the calculated construction period and schedule. This automates the entire process from design drawing analysis to estimate generation, and also enables flexible responses to user emotions.

[0726] "Design drawing data" refers to electronic files containing drawing information related to building designs. Typical formats are PDF and CAD.

[0727] "Analysis Library" means a collection of software tools and programs for analyzing engineering drawing data, including specialized libraries for accommodating different file formats.

[0728] "Building structural information" refers to information about the specific structure of a building, such as the layout of the building, the shape of the rooms, the length of the walls, and the floor area, extracted from the design drawings.

[0729] "Building materials" means materials used in the construction of buildings, including, for example, gypsum board, flooring, and concrete.

[0730] "Labor force information" refers to detailed information about labor, such as the number of workers engaged in construction work and the available working hours per person.

[0731] An "estimate" is a calculation of the total cost of a building project, including the types and quantities of materials needed and labor costs.

[0732] "Emotion data" refers to information about the user's emotional state, such as anxiety, relief, or doubt.

[0733] An "emotion engine" is a software component that analyzes user emotional data and dynamically adjusts the system's output based on the results.

[0734] MODE FOR CARRYING OUT THE INVENTION

[0735] This system analyzes building design drawings and automatically generates the required amount of building materials, the optimal construction period and schedule, and an estimate. It performs a series of processes, from receiving and analyzing design drawing data, calculating the amount of required building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. It also has an emotion engine that recognizes the user's emotions and adjusts the system's output based on that feedback.

[0736] Hardware and software used

[0737] Hardware:

[0738] Server: A server with high-performance computing power

[0739] Device: The computer or tablet the user uses

[0740] Input devices: keyboard, mouse

[0741] software:

[0742] Analysis libraries: PDF analysis library, CAD analysis library

[0743] Database: Stores standard information on building materials and labor costs

[0744] Emotion Engine: Emotion recognition software for analyzing user emotions

[0745] User interface: UI using a web browser

[0746] A natural language description of the system's program

[0747] 1. Receiving and analyzing drawing data

[0748] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0749] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF files are analyzed using the PDF analysis library, and CAD files are analyzed using the CAD analysis library.

[0750] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[0751] 2. Calculate the amount of building materials needed

[0752] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[0753] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0754] 3. Labor and construction time calculations

[0755] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[0756] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[0757] 4. Generate a quote

[0758] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[0759] The server adds up all the expenses and generates a total cost estimate.

[0760] 5. Emotional Engine Adjustment

[0761] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[0762] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[0763] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[0764] 6. Outputting the results

[0765] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[0766] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[0767] Specific examples

[0768] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0769] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0770] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[0771] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0772] The server calculates the total construction time and duration and generates a detailed work schedule.

[0773] The server calculates an estimate based on materials and labor costs and generates a total cost.

[0774] The terminal collects the user's emotions and sends them to the emotion engine.

[0775] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[0776] The server formats the final calculation results and sends them to the terminal.

[0777] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[0778] Prompt Sentence Examples

[0779] "Upload the design drawings (PDF format) of a two-story house into the system and have the system automatically generate the quantities of building materials needed, the optimal construction period and schedule, and an estimate."

[0780] The system allows users to quickly and accurately generate estimates for construction projects and also responds to user emotions.

[0781] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0782] Step 1: Receiving the drawing data

[0783] The user uploads the building design drawing data from their device to the server. The design drawing data is in the form of a PDF or CAD file.

[0784] Input: Design drawing data (PDF or CAD file)

[0785] Output: Design drawing data is sent to the server

[0786] Step 2: Analyze the design drawing data

[0787] The server determines the format of the uploaded design drawing data and selects either a PDF parsing library or a CAD parsing library.

[0788] Input: Design drawing data (PDF or CAD file)

[0789] Output: Analysis library selection

[0790] The server analyzes the design drawing data using the selected analysis library and extracts structural information about the building (room layout, wall length, floor area, etc.).

[0791] Input: Analysis library, design drawing data

[0792] Output: Building structural information

[0793] Step 3: Calculate the amount of building materials needed

[0794] The server uses the extracted structural information to calculate the type and amount of building materials needed, for example, calculating the amount of wall material needed from the wall area and the amount of flooring needed from the floor area.

[0795] Input: Building structural information

[0796] Output: Type and amount of building materials required

[0797] The server retrieves information on the thickness and size of standard building materials from a database and performs calculations based on this information.

[0798] Input: Building material standard information (database)

[0799] Output: Detailed information on required building materials

[0800] Step 4: Enter workforce information

[0801] The user enters the number of people working on the construction project and the working hours per person (e.g., 8 hours per day) on the terminal.

[0802] Input: Labor force information

[0803] Output: Workforce information sent to the server

[0804] Step 5: Calculate construction period and schedule

[0805] The server calculates the time required for each work process based on the input labor information, for example, the time required to install plasterboard.

[0806] Input: Labor information, type and quantity of required building materials

[0807] Output: Time per operation

[0808] The server calculates the total construction time and duration and generates a detailed work schedule.

[0809] Input: Time per operation

[0810] Output: Total construction time, construction period, detailed work schedule

[0811] Step 6: Generate a quote

[0812] The server automatically generates an estimate based on the amount of building materials required, the number of days required for construction, and labor costs. Information such as unit prices is obtained from a database.

[0813] Input: Required amount of building materials, number of construction days, labor cost information (database)

[0814] Output: Estimate information

[0815] The server formats the estimate as a total cost.

[0816] Input: Quote information

[0817] Output: Formatted quote

[0818] Step 7: Collect and analyze emotion data

[0819] The device collects the user's emotional data in real time and transmits it to the server.

[0820] Input: Emotion data

[0821] Output: Emotion data sent to the server

[0822] The emotion engine analyzes the collected emotion data to determine the user's emotional state.

[0823] Input: Emotion data

[0824] Output: Emotion analysis results

[0825] Step 8: Adjust the system's output based on emotions

[0826] Based on the analysis results, the emotion engine instructs the server to dynamically adjust the system output, for example by adding detailed explanations or graphs.

[0827] Input: Sentiment analysis results

[0828] Output: Output adjustment instructions

[0829] The server follows the instructions of the emotion engine to change the content displayed and the way estimates are presented.

[0830] Input: Output adjustment instructions

[0831] Output: Regulated system output

[0832] Step 9: Output the results

[0833] The server sends the final calculation results and estimate information to the terminal.

[0834] Input: Regulated system output

[0835] Output: Results sent to the terminal

[0836] The terminal displays the final results (list of required building materials, construction schedule, and estimate).

[0837] Input: Final result

[0838] Output: The result displayed to the user

[0839] (Application example 2)

[0840] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0841] In building construction projects, it is necessary to efficiently generate the required quantity of building materials, construction period and schedule, and estimates from design drawing data. Furthermore, to smoothly manage projects, it is important to analyze the emotions of users (workers) and provide appropriate feedback. This invention aims to solve these problems and achieve more accurate estimation and efficient schedule management by dynamically adjusting the output based on the user's emotions.

[0842] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data and extracting structural information about the building, means for calculating the type and quantity of necessary building materials based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated quantity of necessary building materials and labor information, means for collecting user emotion data, means for analyzing the collected emotion data and dynamically adjusting the system output, and means for outputting the generated estimate information. This makes it possible to automatically generate materials, construction period, and estimates from design drawing data while providing dynamic feedback and adjustments based on the user's emotions.

[0843] "Design drawing data" refers to a file format containing design information for a building or structure, such as PDF or CAD format.

[0844] "Structural information" refers to specific construction information such as the room layout, wall length, and floor area of ​​a building, extracted from design drawing data.

[0845] "Building materials" refers to specific materials required to construct a building, including, for example, wall materials and flooring materials.

[0846] "Labor information" refers to data related to labor, such as the number of workers on a construction project and the number of hours worked per day.

[0847] "Construction period" refers to the period required for the entire construction work, including the start and end dates of specific work processes.

[0848] A "schedule" is a detailed schedule of each work process in a construction project, and is set based on the construction period.

[0849] An "estimate" is a calculation of the total cost of a construction project, generated based on the quantity of building materials required and the cost of labor.

[0850] "Emotion data" is data collected to analyze a user's emotions, such as anxiety, satisfaction, doubt, etc.

[0851] "Dynamic adjustment means" refers to a mechanism that changes the system's output content in real time based on the analysis results of collected emotional data.

[0852] The present invention relates to a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system also includes a function that recognizes the user's emotions and dynamically adjusts the output as needed.

[0853] System configuration

[0854] 1. Receiving design drawing data

[0855] The server receives building design drawing data uploaded by users via their terminals, which are usually in PDF or CAD format.

[0856] 2. Analysis of design drawing data

[0857] The server analyzes the received design drawing data and extracts building structural information (room layout, wall length, floor area, etc.) using a PDF analysis library and a CAD analysis library.

[0858] 3. Calculating the amount of building materials required

[0859] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area, and the amount of flooring needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[0860] 4. Construction period and schedule generation

[0861] The server generates the optimal construction period and detailed schedule based on the labor force information (number of workers, working hours per day) entered by the user on their terminal, calculates the start and end dates for each work process, and determines the overall construction period.

[0862] 5. Generate a quote

[0863] The server generates a construction project estimate based on the calculated required building material quantities and labor information, which includes the cost of the building materials and the cost of the labor.

[0864] 6. Emotional Data Collection and Analysis

[0865] The device collects the user's emotional data and sends it to the server, based on real-time feedback or pre-entered data.

[0866] The server analyzes the emotion data using an emotion engine and dynamically adjusts the system output based on the analysis results.

[0867] 7. Outputting the results

[0868] The server generates the final results and sends them to the user's device. The results include a list of required building materials, a construction schedule, and estimate information. They also include feedback based on the emotion data.

[0869] Specific examples

[0870] The user uploads a house design drawing (PDF) from their device to the server.

[0871] The server analyzes the design drawings and extracts structural information.

[0872] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., wood flooring).

[0873] The user inputs the number of workers (e.g., 10 people) and the working hours per day (e.g., 8 hours) from the terminal.

[0874] The server calculates the total construction time and duration and generates a detailed schedule.

[0875] The server generates a quote based on materials and labor costs.

[0876] The terminal collects the user's emotion data and transmits it to the emotion engine.

[0877] The server adjusts the output content as needed based on instructions from the emotion engine.

[0878] The terminal displays the final result to the user.

[0879] Prompt Sentence Examples

[0880] Analysis of design drawing data and calculation of required building materials:

[0881] "Analyze the blueprints of a house and calculate the amount of wall and flooring needed."

[0882] Create construction periods and schedules based on labor information:

[0883] "Generate a detailed schedule with construction durations including start and end dates for each work process, assuming 10 workers can work 8 hours a day."

[0884] Adjusting output based on sentiment data:

[0885] "Adjust it to show more detailed instructions or graphs if the user is unsure."

[0886] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0887] Step 1:

[0888] The server receives the building design drawing data uploaded by the user via the terminal. The design drawing data is in PDF or CAD format. The server selects the appropriate analysis library for the received data depending on the format.

[0889] Input: Design drawing data (PDF or CAD format)

[0890] Output: Analysis Library Selection

[0891] Step 2:

[0892] The server analyzes the design drawing data using the selected analysis library to extract structural information about the building, such as room layout, wall length, and floor area.

[0893] Input: Design drawing data, analysis library

[0894] Output: Structural information (room layout, wall length, floor area)

[0895] Step 3:

[0896] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area and the amount of flooring material needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[0897] Input: structural information, building materials database

[0898] Output: Type and amount of building materials required

[0899] Step 4:

[0900] The user inputs labor information (number of workers, working hours per day) from their terminal. Based on this labor information, the server calculates the time required for each work process and calculates the total construction time. Next, it calculates the overall construction period and generates a detailed work schedule.

[0901] Input: Labor force information (number of workers, working hours per day)

[0902] Output: Detailed work schedule

[0903] Step 5:

[0904] The server generates a project estimate based on the calculated amount of required building materials and labor information, retrieves the cost of building materials and labor from the database, and calculates the total cost.

[0905] Input: Required building materials, labor information, cost database

[0906] Output: Quote

[0907] Step 6:

[0908] The device collects the user's emotional data and sends it to the server. The emotional data may be collected in real time or input in advance. The server analyzes the emotional data using an emotion engine and dynamically adjusts the system's output based on the results.

[0909] Input: Emotion data

[0910] Output: Adjusting the output based on the sentiment analysis results

[0911] Step 7:

[0912] The server formats the final calculation results (list of required building materials, construction schedule, and estimate) and sends them to the user's device, which displays these results to the user, along with additional information based on the emotion data.

[0913] Input: Final calculation results (list of required building materials, construction schedule, estimate), emotion analysis results

[0914] Output: What is displayed to the user

[0915] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0916] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0917] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0918] [Third embodiment]

[0919] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0920] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0921] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0922] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0923] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0924] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0925] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0926] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0927] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0928] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0929] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0930] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0931] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate.

[0932] System configuration

[0933] 1. Program Overview

[0934] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[0935] The terminal allows users to upload design drawing data, input labor information, and display the final results.

[0936] The user is responsible for initial input and confirmation of the system.

[0937] Explaining program processing in natural language

[0938] 1. Receiving and analyzing drawing data

[0939] The user uploads the building design drawing data from their device to the server. The design drawing data is often in PDF or CAD format.

[0940] The server receives the uploaded drawing data, determines the data format, and selects the appropriate analysis library. For example, if it is a PDF file, it will use the PDF analysis library, and if it is a CAD file, it will use the CAD analysis library.

[0941] The server uses an analysis library to extract building structural information (room boundaries, wall lengths, floor area, etc.) from the design drawings.

[0942] 2. Calculate the amount of building materials needed

[0943] The server calculates the amount of building materials required based on the extracted structural information. For example, it calculates the amount of wall material required from the wall area and the amount of floor material required from the floor area.

[0944] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[0945] 3. Labor and construction time calculations

[0946] The user inputs the number of people working on the construction project and the working capacity per person (e.g., working hours per day) on the terminal.

[0947] Based on the input labor information, the server calculates the time required for each work process to determine the total construction time, then calculates the overall construction period and generates a detailed work schedule.

[0948] 4. Generate a quote

[0949] The server automatically generates an estimate based on the amount of materials needed, the number of days required for construction, and the cost of labor, retrieving information on the unit prices of materials and labor costs from a database.

[0950] The server adds up all the expenses and generates a total cost estimate.

[0951] 5. Outputting the results

[0952] The server converts the calculation results and estimate information into an appropriate format and sends them to the terminal.

[0953] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[0954] Specific examples

[0955] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[0956] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[0957] The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., flooring), and roofing materials.

[0958] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[0959] The server calculates the total construction time and determines the overall construction period to be three days. It then generates a detailed work schedule.

[0960] The server calculates an estimate based on materials and labor costs and displays the total cost.

[0961] The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[0962] In this way, the system of the present invention can automate a series of cost estimation tasks efficiently and accurately based on building design drawing data.

[0963] The processing flow will be explained below.

[0964] Step 1:

[0965] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[0966] Step 2:

[0967] The server receives the uploaded design drawing data and determines the file format, for example, whether it is a PDF file or a CAD file.

[0968] Step 3:

[0969] The server selects the appropriate parsing library based on the identified file type: for PDF files, it uses the PDF parsing library, for CAD files, it uses the CAD parsing library.

[0970] Step 4:

[0971] The server uses the selected analysis library to extract building structural information from the blueprints, including room layout, wall lengths, floor area, and other information.

[0972] Step 5:

[0973] The server calculates the type and quantity of building materials based on the extracted structural information. For example, it calculates the required amount of wall material from the wall area, and the required amount of flooring material from the floor area.

[0974] Step 6:

[0975] The server retrieves information such as the standard thickness and size of each building material from a database and calculates the required amount based on that information.

[0976] Step 7:

[0977] The user inputs the number of people working on the construction project and the working capacity (working hours) per person into the server from their terminal.

[0978] Step 8:

[0979] The server calculates the required construction period based on the calculated amount of building materials and the labor information entered by the user, for example, calculating how many hours each task will require.

[0980] Step 9:

[0981] The server creates a detailed work schedule based on the overall construction period, including start and end dates for each work step.

[0982] Step 10:

[0983] The server retrieves the unit prices of building materials and labor costs from a database, calculates the total cost, and generates an estimate.

[0984] Step 11:

[0985] The server formats the generated quote information and transmits it to the terminal.

[0986] Step 12:

[0987] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[0988] Example 1

[0989] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0990] In the modern construction industry, manually calculating the type and quantity of building materials, construction period, schedule, and estimates from building design drawings is extremely time-consuming and labor-intensive. Furthermore, calculation errors and data inconsistencies frequently occur, causing major disruptions to overall project management. To solve these issues, an automated system is needed.

[0991] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0992] In this invention, the server includes a means for receiving design drawing data of a building, a means for analyzing the design drawing data to extract structural information of the building, and a means for calculating the types and quantities of building materials required based on the extracted structural information, thereby enabling quick and accurate calculation of the required building materials from the design drawings.

[0993] "Building design drawing data" refers to data in digital format that represents the structure, layout, dimensions, etc. of a building, and includes formats such as PDF and CAD.

[0994] "Analysis" is the technical process of analyzing digital data and extracting specific information.

[0995] "Structural information" refers to information such as room boundaries, wall lengths, and floor area extracted from building blueprints.

[0996] "Building materials" are materials necessary for the construction of buildings, including wall materials, floor materials, roof materials, etc.

[0997] "Labor force information" refers to data on the number of people engaged in construction work and the working capacity per person (e.g., working hours per day).

[0998] "Construction period" refers to the total time required to construct a building, measured from the start date to the finish date.

[0999] A "schedule" is a work plan that includes specific start and end dates for each work step.

[1000] An "estimate" is a total cost calculated based on the amount of building materials needed, the cost of labor, and other expenses.

[1001] A "database" is a system for efficiently storing and managing related data.

[1002] A "parsing library" is a software component for parsing a particular digital data format.

[1003] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system starts with receiving the design drawing data and performs a series of processes from analysis, calculation, schedule generation, estimate generation, and output of the final results.

[1004] Hardware and software used

[1005] server:

[1006] The server has the following main functions:

[1007] Receiving design drawing data: Receives design drawing data (PDF or CAD format) uploaded by users.

[1008] Format detection: Determines the file format of the received drawing data and selects the PDF or CAD analysis library.

[1009] Data Analysis: Extract building structural information from design drawings using selected analysis libraries.

[1010] Calculate the amount of building materials: Based on the extracted structural information, calculate the type and amount of building materials required. Obtain the standard thickness and size of building materials from the database and use them in the calculation.

[1011] Construction period and schedule generation: Based on the labor information entered by the user, the system calculates the time required for each work process, calculates the overall construction period, and generates a detailed work schedule.

[1012] Generate estimates: Automatically generate estimates based on the quantity of materials needed, construction time, and labor costs. Information on material unit prices and labor costs is retrieved from a database.

[1013] Output of results: Convert the calculation results and estimate information into an appropriate format and send them to the terminal.

[1014] Device:

[1015] The terminal is used by the user and has the following functions:

[1016] Uploading drawing data: Provides a user interface for uploading design drawing data to the server.

[1017] Input of labor force information: Provides a form for inputting the number of people engaged in construction work and the working capacity per person.

[1018] Displaying results: The list of required building materials, construction schedule, and estimate results sent from the server are displayed to the user.

[1019] User:

[1020] The user is responsible for:

[1021] Initial input: Use the terminal to upload design drawing data to the server and enter labor information.

[1022] Results confirmation: Review the final calculation results, schedule, and estimate results.

[1023] Specific examples

[1024] 1. The user uploads a design drawing (PDF) of a two-story house from their device to the server.

[1025] 2. The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1026] 3. The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., wood flooring), and roofing materials.

[1027] 4. The user enters the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1028] 5. The server calculates the total construction time and determines the overall construction period to be 3 days. It then generates a detailed work schedule.

[1029] 6. The server calculates an estimate based on materials and labor costs and displays the total cost.

[1030] 7. The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[1031] Prompt Sentence Examples

[1032] "Upload the design drawing data (PDF) of a two-story house and automatically calculate the amount of building materials required, construction period and schedule, and estimate."

[1033] "Calculate the type of building materials (such as drywall, flooring, roofing, etc.) and the required quantities, calculate the construction time based on labor information, and generate an estimate."

[1034] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1035] Step 1:

[1036] A user uses a terminal to upload building design drawing data (PDF or CAD format) to the server. The input is the design drawing data, and the output is a data file received by the server. Specifically, the user selects the design drawing file using the upload function of the terminal and sends it to the server.

[1037] Step 2:

[1038] The server receives the uploaded design drawing data and determines its format. The input is the design drawing data received in step 1, and the output is the selection result of the library to be applied to the analysis. Specifically, the server checks the file extension, and if it is PDF, it selects the PDF analysis library, and if it is CAD, it selects the CAD analysis library.

[1039] Step 3:

[1040] The server uses the selected analysis library (e.g., PDF analysis library or CAD analysis library) to extract building structural information from the design drawing data. The input is the design drawing data and the selected analysis library, and the output is building structural information (e.g., room boundaries, wall lengths, floor area, etc.). Specifically, the server calls the library's API and analyzes the design drawing data.

[1041] Step 4:

[1042] The server calculates the types and quantities of building materials required based on the extracted structural information. The input is structural information and information on the standard thickness and size of building materials obtained from a database, and the output is a list of building material types and quantities. Specifically, the server calculates the required amount of flooring material from the floor area and the required amount of wall material from the wall area.

[1043] Step 5:

[1044] The user uses a terminal to input labor information such as the number of people engaged in construction work and the working hours per person. The input is information about labor entered through the terminal, and the output is labor information data stored on the server side. Specifically, the user enters the number of people and the working hours per person into the input form on the terminal and sends it to the server.

[1045] Step 6:

[1046] The server calculates the time required for each work process based on the input labor information, and generates the total construction time and a detailed work schedule. The input is labor information and information on the type and quantity of building materials, and the output is the construction period and a detailed work schedule. Specifically, the server calculates the time required for each work process and adds them up to determine the total construction period.

[1047] Step 7:

[1048] The server automatically creates an estimate based on the amount of building materials, the number of days for construction, and the cost of labor. The inputs are the amount of building materials, the construction period, and the unit price of building materials and labor cost information obtained from the database, and the output is the estimate result. Specifically, the server calculates the total cost based on the unit price and required amount of building materials and labor cost.

[1049] Step 8:

[1050] The server converts the calculation results and estimate information into an appropriate format and sends it to the terminal. The input is the calculation results and estimate information, and the output is data in a format that can be viewed by the user. Specifically, the server converts the results into a format such as JSON or XML and sends it to the terminal.

[1051] Step 9:

[1052] The terminal displays to the user the list of required building materials, construction schedule, and estimate results received from the server. The input is the display data sent from the server, and the output is a display of the results that the user can visually check. Specifically, the terminal uses a web browser or similar to appropriately render the received data and display it to the user.

[1053] (Application example 1)

[1054] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1055] The problem that this invention aims to solve is to provide a system that can efficiently perform on-site patrol planning and progress confirmation in addition to the conventional technology that automatically generates the type and quantity of building materials required, the optimal construction period and schedule, and estimates based on building design drawing data. There is a demand for a specific means to grasp on-site information in real time and improve the accuracy of plans.

[1056] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1057] In this invention, the server includes means for receiving design drawing data, means for analyzing the design drawing data and extracting structural information of the building, means for calculating the type and quantity of building materials required based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated amount of required building materials and labor information, means for outputting the generated estimate information, and means for planning site patrols and checking progress based on the results of the design drawing data analysis, thereby enabling the efficiency and accuracy of construction plans to be improved.

[1058] 1. "Design drawing data" refers to a data file containing building design information, provided in formats such as PDF or CAD.

[1059] 2. "Structural information" refers to information such as the boundaries of rooms in a building, wall lengths, and floor area extracted from design drawing data.

[1060] 3. "Building materials" is a general term for materials necessary for the construction of buildings, including wall materials, floor materials, roofing materials, etc.

[1061] 4. "Labor force information" is information entered by the user regarding the number of people engaged in construction work and the working capacity per person (working hours per day).

[1062] 5. "Construction period" refers to the period from the start of construction work to its completion.

[1063] 6. "Schedule" means a plan showing the dates for each work process within the construction period.

[1064] 7. "Estimate" means the total cost of construction calculated based on the quantity of building materials and labor information required.

[1065] 8. "Patrol plan" is a plan for efficiently patrolling the site and checking the progress of construction work.

[1066] 9. "Progress check" refers to the task of checking the progress of work at a construction site.

[1067] This system automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate based on the design drawing data of a building. Furthermore, by adding a means to plan site visits and check progress based on the results of design drawing data analysis, the system streamlines the overall management of a construction project. This system is realized through the collaboration of a server, terminals, and users.

[1068] The server receives and analyzes the design drawing data using a PDF analysis library and a CAD analysis library. These libraries extract structural information from the design drawing, such as room boundaries, wall lengths, and floor area. Based on the extracted structural information, the server calculates the type and quantity of building materials required. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[1069] The terminal provides an interface for users to upload design drawing data and input labor information. Once the user inputs the number of people required for the construction project and the number of hours worked per day, the server uses this information to calculate the time required for each work process and determine the total construction time. It then calculates the overall construction period and generates a detailed schedule.

[1070] The server then automatically creates an estimate based on the calculated amount of building materials needed and labor information. Information on the unit prices of building materials and labor costs is retrieved from a database and added up to generate an estimate of the total cost. The generated estimate information is output to the user via a terminal.

[1071] Furthermore, the server creates a site patrol plan based on the results of design drawing data analysis and checks progress, allowing for real-time information on the site and improving the accuracy of the plan.

[1072] Specific names of hardware and software used

[1073] Hardware: Internet-connected PCs, tablets, smartphones, robots, etc.

[1074] Software: Python language, PDF analysis library (pdfplumber), data calculation library (numpy), graph drawing library (matplotlib)

[1075] Specific examples

[1076] For example, if you are planning to build a new manufacturing line in a factory, you can upload design drawings to the system to quickly estimate the necessary equipment, construction schedule, and construction costs.

[1077] Prompt Sentence Examples

[1078] Using the following information, calculate the quantity of materials, construction time, and cost required to build a manufacturing line:

[1079] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1080] Step 1:

[1081] The user uploads design drawing data (PDF or CAD format) to the server using a terminal. The input is the design drawing data, and the output is raw data stored on the server. This data becomes the basis for analysis.

[1082] Step 2:

[1083] The server determines the format of the uploaded design drawing data. The input is the design drawing data, and the output is the data format (PDF or CAD). The server selects the appropriate analysis library. For PDF format, it uses the PDF analysis library (pdfplumber), and for CAD format, it uses the CAD analysis library.

[1084] Step 3:

[1085] Using the selected analysis library, the server analyzes the design drawing data and extracts building structural information (room boundaries, wall lengths, floor area, etc.) The input is the design drawing data, and the output is the extracted structural information.

[1086] Step 4:

[1087] The server uses a data calculation library (numpy) to calculate the type and amount of building materials required based on the extracted structural information. The input is the structural information, and the output is the calculated type and amount of building materials. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[1088] Step 5:

[1089] A user uses a terminal to input labor information (number of people, working hours per day). The input is labor information, and the output is labor data stored on the server. This data is used to calculate construction period and schedule.

[1090] Step 6:

[1091] The server creates the optimal construction period and schedule based on the labor information entered by the user. The input is labor information and building material calculation results, and the output is a detailed construction period and schedule. For example, it calculates the total construction time and determines a detailed work schedule.

[1092] Step 7:

[1093] The server generates an estimate based on the calculated amount of required building materials and labor information. The input is the building material calculation results and labor data, and the output is the estimate information. Information on the unit price of building materials and labor costs is obtained from the database and the total cost is calculated.

[1094] Step 8:

[1095] The server converts the generated estimate information into an appropriate format and sends it to the terminal. The input is the estimate information, and the output is estimate data in a format that can be viewed by the user. The terminal displays to the user a list of required building materials, a construction schedule, and the estimate results.

[1096] Step 9:

[1097] The server creates a site patrol plan based on the results of design drawing data analysis and sends the data to patrol devices such as robots. The input is the results of design drawing data analysis and the output is the patrol plan. The robot patrols the site, checks progress, and feeds that information back to the server.

[1098] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1099] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes, from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. Furthermore, this invention also incorporates an emotion engine that recognizes the user's emotions and adjusts the system's output based on them.

[1100] System configuration

[1101] 1. Program Overview

[1102] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[1103] The terminal allows users to upload design drawing data, input labor information, collect emotion data, and display the final results.

[1104] The user is responsible for initial input and confirmation of the system.

[1105] The emotion engine analyzes the user's emotions in real time and dynamically adjusts the system's output based on that feedback.

[1106] Explaining program processing in natural language

[1107] 1. Receiving and analyzing drawing data

[1108] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1109] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF analysis library for PDF files, CAD analysis library for CAD files.

[1110] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[1111] 2. Calculate the amount of building materials needed

[1112] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[1113] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[1114] 3. Labor and construction time calculations

[1115] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[1116] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[1117] 4. Generate a quote

[1118] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[1119] The server adds up all the expenses and generates a total cost estimate.

[1120] 5. Emotional Engine Adjustment

[1121] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[1122] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[1123] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[1124] 6. Outputting the results

[1125] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[1126] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[1127] Specific examples

[1128] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[1129] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1130] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[1131] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1132] The server calculates the total construction time and duration and generates a detailed work schedule.

[1133] The server calculates an estimate based on materials and labor costs and generates a total cost.

[1134] The terminal collects the user's emotions and sends them to the emotion engine.

[1135] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[1136] The server formats the final calculation results and sends them to the terminal.

[1137] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[1138] The system of the present invention allows flexible responses according to the user's emotions, and can efficiently perform estimation work with higher accuracy.

[1139] The processing flow will be explained below.

[1140] Step 1:

[1141] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1142] Step 2:

[1143] The server receives the uploaded design drawing data and determines the file format. If it is a PDF file, it uses a PDF parsing library, and if it is a CAD file, it uses a CAD parsing library.

[1144] Step 3:

[1145] The server uses an analysis library to extract building structural information from blueprints, such as room layout, wall length, floor area, and window and door locations.

[1146] Step 4:

[1147] The server calculates the type and amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring material needed based on the floor area.

[1148] Step 5:

[1149] The server retrieves the standard thickness and size of each building material from the database and uses this information in calculations, allowing for highly accurate calculations of the required amount of building materials.

[1150] Step 6:

[1151] The user inputs the number of people working on the construction project (e.g., 10 people) and the working capacity per person (e.g., 8 hours per day) from the terminal.

[1152] Step 7:

[1153] The server calculates the time required for each work process based on the input labor information, for example, how long it will take to install wall coverings.

[1154] Step 8:

[1155] The server calculates the total construction time, determines the overall construction period, and then creates a detailed work schedule with start and end dates for each work step.

[1156] Step 9:

[1157] The server retrieves the unit prices of the building materials from the database and calculates the cost of the building materials based on the aforementioned required quantities, as well as the labor costs, to generate a total cost estimate.

[1158] Step 10:

[1159] The device collects the user's emotional data, for example, through facial expression recognition and voice analysis, and sends the real-time emotional data to the emotion engine.

[1160] Step 11:

[1161] The emotion engine analyzes the user's emotions and adjusts the system's response accordingly, for example, if the user is anxious, it may send instructions to the server to display additional explanations or illustrations.

[1162] Step 12:

[1163] The server dynamically changes the way estimates are presented and the detailed schedule display according to the instructions of the emotion engine.

[1164] Step 13:

[1165] The server converts the final calculation results and adjusted quote information into an appropriate format and sends them to the terminal.

[1166] Step 14:

[1167] The device displays to the user a list of required building materials, construction schedule, and estimate results in real time, along with additional information and explanations based on feedback from the emotion engine, if needed.

[1168] Example 2

[1169] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1170] In the conventional building design process, manually calculating the required quantity of building materials, construction period, and estimates from design drawings was a time-consuming and labor-intensive process. Additionally, there was a lack of flexibility in providing additional detailed explanations and materials to address users' concerns and questions. Furthermore, selecting analysis methods according to the design drawing format and optimizing construction periods also required manual steps, making efficient project management difficult.

[1171] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1172] In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data to extract structural information about the building, and means for calculating the type and quantity of building materials required based on the extracted structural information. This also includes an emotion engine for collecting and analyzing user emotion data, means for dynamically adjusting system output based on the analysis results of the emotion engine, means for outputting generated estimate information, means for determining the format of the design drawing data and selecting an appropriate analysis library, and means for calculating the start and end dates of each work process based on the calculated construction period and schedule. This automates the entire process from design drawing analysis to estimate generation, and also enables flexible responses to user emotions.

[1173] "Design drawing data" refers to electronic files containing drawing information related to building designs. Typical formats are PDF and CAD.

[1174] "Analysis Library" means a collection of software tools and programs for analyzing engineering drawing data, including specialized libraries for accommodating different file formats.

[1175] "Building structural information" refers to information about the specific structure of a building, such as the layout of the building, the shape of the rooms, the length of the walls, and the floor area, extracted from the design drawings.

[1176] "Building materials" means materials used in the construction of buildings, including, for example, gypsum board, flooring, and concrete.

[1177] "Labor force information" refers to detailed information about labor, such as the number of workers engaged in construction work and the available working hours per person.

[1178] An "estimate" is a calculation of the total cost of a building project, including the types and quantities of materials needed and labor costs.

[1179] "Emotion data" refers to information about the user's emotional state, such as anxiety, relief, or doubt.

[1180] An "emotion engine" is a software component that analyzes user emotional data and dynamically adjusts the system's output based on the results.

[1181] MODE FOR CARRYING OUT THE INVENTION

[1182] This system analyzes building design drawings and automatically generates the required amount of building materials, the optimal construction period and schedule, and an estimate. It performs a series of processes, from receiving and analyzing design drawing data, calculating the amount of required building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. It also has an emotion engine that recognizes the user's emotions and adjusts the system's output based on that feedback.

[1183] Hardware and software used

[1184] Hardware:

[1185] Server: A server with high-performance computing power

[1186] Device: The computer or tablet the user uses

[1187] Input devices: keyboard, mouse

[1188] software:

[1189] Analysis libraries: PDF analysis library, CAD analysis library

[1190] Database: Stores standard information on building materials and labor costs

[1191] Emotion Engine: Emotion recognition software for analyzing user emotions

[1192] User interface: UI using a web browser

[1193] A natural language description of the system's program

[1194] 1. Receiving and analyzing drawing data

[1195] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1196] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF files are analyzed using the PDF analysis library, and CAD files are analyzed using the CAD analysis library.

[1197] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[1198] 2. Calculate the amount of building materials needed

[1199] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[1200] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[1201] 3. Labor and construction time calculations

[1202] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[1203] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[1204] 4. Generate a quote

[1205] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[1206] The server adds up all the expenses and generates a total cost estimate.

[1207] 5. Emotional Engine Adjustment

[1208] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[1209] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[1210] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[1211] 6. Outputting the results

[1212] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[1213] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[1214] Specific examples

[1215] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[1216] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1217] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[1218] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1219] The server calculates the total construction time and duration and generates a detailed work schedule.

[1220] The server calculates an estimate based on materials and labor costs and generates a total cost.

[1221] The terminal collects the user's emotions and sends them to the emotion engine.

[1222] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[1223] The server formats the final calculation results and sends them to the terminal.

[1224] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[1225] Prompt Sentence Examples

[1226] "Upload the design drawings (PDF format) of a two-story house into the system and have the system automatically generate the quantities of building materials needed, the optimal construction period and schedule, and an estimate."

[1227] The system allows users to quickly and accurately generate estimates for construction projects and also responds to user emotions.

[1228] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1229] Step 1: Receiving the drawing data

[1230] The user uploads the building design drawing data from their device to the server. The design drawing data is in the form of a PDF or CAD file.

[1231] Input: Design drawing data (PDF or CAD file)

[1232] Output: Design drawing data is sent to the server

[1233] Step 2: Analyze the design drawing data

[1234] The server determines the format of the uploaded design drawing data and selects either a PDF parsing library or a CAD parsing library.

[1235] Input: Design drawing data (PDF or CAD file)

[1236] Output: Analysis library selection

[1237] The server analyzes the design drawing data using the selected analysis library and extracts structural information about the building (room layout, wall length, floor area, etc.).

[1238] Input: Analysis library, design drawing data

[1239] Output: Building structural information

[1240] Step 3: Calculate the amount of building materials needed

[1241] The server uses the extracted structural information to calculate the type and amount of building materials needed, for example, calculating the amount of wall material needed from the wall area and the amount of flooring needed from the floor area.

[1242] Input: Building structural information

[1243] Output: Type and amount of building materials required

[1244] The server retrieves information on the thickness and size of standard building materials from a database and performs calculations based on this information.

[1245] Input: Building material standard information (database)

[1246] Output: Detailed information on required building materials

[1247] Step 4: Enter workforce information

[1248] The user enters the number of people working on the construction project and the working hours per person (e.g., 8 hours per day) on the terminal.

[1249] Input: Labor force information

[1250] Output: Workforce information sent to the server

[1251] Step 5: Calculate construction period and schedule

[1252] The server calculates the time required for each work process based on the input labor information, for example, the time required to install plasterboard.

[1253] Input: Labor information, type and quantity of required building materials

[1254] Output: Time per operation

[1255] The server calculates the total construction time and duration and generates a detailed work schedule.

[1256] Input: Time per operation

[1257] Output: Total construction time, construction period, detailed work schedule

[1258] Step 6: Generate a quote

[1259] The server automatically generates an estimate based on the amount of building materials required, the number of days required for construction, and labor costs. Information such as unit prices is obtained from a database.

[1260] Input: Required amount of building materials, number of construction days, labor cost information (database)

[1261] Output: Estimate information

[1262] The server formats the estimate as a total cost.

[1263] Input: Quote information

[1264] Output: Formatted quote

[1265] Step 7: Collect and analyze emotion data

[1266] The device collects the user's emotional data in real time and transmits it to the server.

[1267] Input: Emotion data

[1268] Output: Emotion data sent to the server

[1269] The emotion engine analyzes the collected emotion data to determine the user's emotional state.

[1270] Input: Emotion data

[1271] Output: Emotion analysis results

[1272] Step 8: Adjust the system's output based on emotions

[1273] Based on the analysis results, the emotion engine instructs the server to dynamically adjust the system output, for example by adding detailed explanations or graphs.

[1274] Input: Sentiment analysis results

[1275] Output: Output adjustment instructions

[1276] The server follows the instructions of the emotion engine to change the content displayed and the way estimates are presented.

[1277] Input: Output adjustment instructions

[1278] Output: Regulated system output

[1279] Step 9: Output the results

[1280] The server sends the final calculation results and estimate information to the terminal.

[1281] Input: Regulated system output

[1282] Output: Results sent to the terminal

[1283] The terminal displays the final results (list of required building materials, construction schedule, and estimate).

[1284] Input: Final result

[1285] Output: The result displayed to the user

[1286] (Application example 2)

[1287] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1288] In building construction projects, it is necessary to efficiently generate the required quantity of building materials, construction period and schedule, and estimates from design drawing data. Furthermore, to smoothly manage projects, it is important to analyze the emotions of users (workers) and provide appropriate feedback. This invention aims to solve these problems and achieve more accurate estimation and efficient schedule management by dynamically adjusting the output based on the user's emotions.

[1289] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data and extracting structural information about the building, means for calculating the type and quantity of necessary building materials based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated quantity of necessary building materials and labor information, means for collecting user emotion data, means for analyzing the collected emotion data and dynamically adjusting the system output, and means for outputting the generated estimate information. This makes it possible to automatically generate materials, construction period, and estimates from design drawing data while providing dynamic feedback and adjustments based on the user's emotions.

[1290] "Design drawing data" refers to a file format containing design information for a building or structure, such as PDF or CAD format.

[1291] "Structural information" refers to specific construction information such as the room layout, wall length, and floor area of ​​a building, extracted from design drawing data.

[1292] "Building materials" refers to specific materials required to construct a building, including, for example, wall materials and flooring materials.

[1293] "Labor information" refers to data related to labor, such as the number of workers on a construction project and the number of hours worked per day.

[1294] "Construction period" refers to the period required for the entire construction work, including the start and end dates of specific work processes.

[1295] A "schedule" is a detailed schedule of each work process in a construction project, and is set based on the construction period.

[1296] An "estimate" is a calculation of the total cost of a construction project, generated based on the quantity of building materials required and the cost of labor.

[1297] "Emotion data" is data collected to analyze a user's emotions, such as anxiety, satisfaction, doubt, etc.

[1298] "Dynamic adjustment means" refers to a mechanism that changes the system's output content in real time based on the analysis results of collected emotional data.

[1299] The present invention relates to a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system also includes a function that recognizes the user's emotions and dynamically adjusts the output as needed.

[1300] System configuration

[1301] 1. Receiving design drawing data

[1302] The server receives building design drawing data uploaded by users via their terminals, which are usually in PDF or CAD format.

[1303] 2. Analysis of design drawing data

[1304] The server analyzes the received design drawing data and extracts building structural information (room layout, wall length, floor area, etc.) using a PDF analysis library and a CAD analysis library.

[1305] 3. Calculating the amount of building materials required

[1306] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area, and the amount of flooring needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[1307] 4. Construction period and schedule generation

[1308] The server generates the optimal construction period and detailed schedule based on the labor force information (number of workers, working hours per day) entered by the user on their terminal, calculates the start and end dates for each work process, and determines the overall construction period.

[1309] 5. Generate a quote

[1310] The server generates a construction project estimate based on the calculated required building material quantities and labor information, which includes the cost of the building materials and the cost of the labor.

[1311] 6. Emotional Data Collection and Analysis

[1312] The device collects the user's emotional data and sends it to the server, based on real-time feedback or pre-entered data.

[1313] The server analyzes the emotion data using an emotion engine and dynamically adjusts the system output based on the analysis results.

[1314] 7. Outputting the results

[1315] The server generates the final results and sends them to the user's device. The results include a list of required building materials, a construction schedule, and estimate information. They also include feedback based on the emotion data.

[1316] Specific examples

[1317] The user uploads a house design drawing (PDF) from their device to the server.

[1318] The server analyzes the design drawings and extracts structural information.

[1319] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., wood flooring).

[1320] The user inputs the number of workers (e.g., 10 people) and the working hours per day (e.g., 8 hours) from the terminal.

[1321] The server calculates the total construction time and duration and generates a detailed schedule.

[1322] The server generates a quote based on materials and labor costs.

[1323] The terminal collects the user's emotion data and transmits it to the emotion engine.

[1324] The server adjusts the output content as needed based on instructions from the emotion engine.

[1325] The terminal displays the final result to the user.

[1326] Prompt Sentence Examples

[1327] Analysis of design drawing data and calculation of required building materials:

[1328] "Analyze the blueprints of a house and calculate the amount of wall and flooring needed."

[1329] Create construction periods and schedules based on labor information:

[1330] "Generate a detailed schedule with construction durations including start and end dates for each work process, assuming 10 workers can work 8 hours a day."

[1331] Adjusting output based on sentiment data:

[1332] "Adjust it to show more detailed instructions or graphs if the user is unsure."

[1333] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1334] Step 1:

[1335] The server receives the building design drawing data uploaded by the user via the terminal. The design drawing data is in PDF or CAD format. The server selects the appropriate analysis library for the received data depending on the format.

[1336] Input: Design drawing data (PDF or CAD format)

[1337] Output: Analysis Library Selection

[1338] Step 2:

[1339] The server analyzes the design drawing data using the selected analysis library to extract structural information about the building, such as room layout, wall length, and floor area.

[1340] Input: Design drawing data, analysis library

[1341] Output: Structural information (room layout, wall length, floor area)

[1342] Step 3:

[1343] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area and the amount of flooring material needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[1344] Input: structural information, building materials database

[1345] Output: Type and amount of building materials required

[1346] Step 4:

[1347] The user inputs labor information (number of workers, working hours per day) from their terminal. Based on this labor information, the server calculates the time required for each work process and calculates the total construction time. Next, it calculates the overall construction period and generates a detailed work schedule.

[1348] Input: Labor force information (number of workers, working hours per day)

[1349] Output: Detailed work schedule

[1350] Step 5:

[1351] The server generates a project estimate based on the calculated amount of required building materials and labor information, retrieves the cost of building materials and labor from the database, and calculates the total cost.

[1352] Input: Required building materials, labor information, cost database

[1353] Output: Quote

[1354] Step 6:

[1355] The device collects the user's emotional data and sends it to the server. The emotional data may be collected in real time or input in advance. The server analyzes the emotional data using an emotion engine and dynamically adjusts the system's output based on the results.

[1356] Input: Emotion data

[1357] Output: Adjusting the output based on the sentiment analysis results

[1358] Step 7:

[1359] The server formats the final calculation results (list of required building materials, construction schedule, and estimate) and sends them to the user's device, which displays these results to the user, along with additional information based on the emotion data.

[1360] Input: Final calculation results (list of required building materials, construction schedule, estimate), emotion analysis results

[1361] Output: What is displayed to the user

[1362] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1363] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1364] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1365] [Fourth embodiment]

[1366] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1367] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1368] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1369] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1370] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1371] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1372] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1373] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1374] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1375] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1376] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1377] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1378] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1379] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate.

[1380] System configuration

[1381] 1. Program Overview

[1382] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[1383] The terminal allows users to upload design drawing data, input labor information, and display the final results.

[1384] The user is responsible for initial input and confirmation of the system.

[1385] Explaining program processing in natural language

[1386] 1. Receiving and analyzing drawing data

[1387] The user uploads the building design drawing data from their device to the server. The design drawing data is often in PDF or CAD format.

[1388] The server receives the uploaded drawing data, determines the data format, and selects the appropriate analysis library. For example, if it is a PDF file, it will use the PDF analysis library, and if it is a CAD file, it will use the CAD analysis library.

[1389] The server uses an analysis library to extract building structural information (room boundaries, wall lengths, floor area, etc.) from the design drawings.

[1390] 2. Calculate the amount of building materials needed

[1391] The server calculates the amount of building materials required based on the extracted structural information. For example, it calculates the amount of wall material required from the wall area and the amount of floor material required from the floor area.

[1392] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[1393] 3. Labor and construction time calculations

[1394] The user inputs the number of people working on the construction project and the working capacity per person (e.g., working hours per day) on the terminal.

[1395] Based on the input labor information, the server calculates the time required for each work process to determine the total construction time, then calculates the overall construction period and generates a detailed work schedule.

[1396] 4. Generate a quote

[1397] The server automatically generates an estimate based on the amount of materials needed, the number of days required for construction, and the cost of labor, retrieving information on the unit prices of materials and labor costs from a database.

[1398] The server adds up all the expenses and generates a total cost estimate.

[1399] 5. Outputting the results

[1400] The server converts the calculation results and estimate information into an appropriate format and sends them to the terminal.

[1401] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[1402] Specific examples

[1403] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[1404] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1405] The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., flooring), and roofing materials.

[1406] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1407] The server calculates the total construction time and determines the overall construction period to be three days. It then generates a detailed work schedule.

[1408] The server calculates an estimate based on materials and labor costs and displays the total cost.

[1409] The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[1410] In this way, the system of the present invention can automate a series of cost estimation tasks efficiently and accurately based on building design drawing data.

[1411] The processing flow will be explained below.

[1412] Step 1:

[1413] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1414] Step 2:

[1415] The server receives the uploaded design drawing data and determines the file format, for example, whether it is a PDF file or a CAD file.

[1416] Step 3:

[1417] The server selects the appropriate parsing library based on the identified file type: for PDF files, it uses the PDF parsing library, for CAD files, it uses the CAD parsing library.

[1418] Step 4:

[1419] The server uses the selected analysis library to extract building structural information from the blueprints, including room layout, wall lengths, floor area, and other information.

[1420] Step 5:

[1421] The server calculates the type and quantity of building materials based on the extracted structural information. For example, it calculates the required amount of wall material from the wall area, and the required amount of flooring material from the floor area.

[1422] Step 6:

[1423] The server retrieves information such as the standard thickness and size of each building material from a database and calculates the required amount based on that information.

[1424] Step 7:

[1425] The user inputs the number of people working on the construction project and the working capacity (working hours) per person into the server from their terminal.

[1426] Step 8:

[1427] The server calculates the required construction period based on the calculated amount of building materials and the labor information entered by the user, for example, calculating how many hours each task will require.

[1428] Step 9:

[1429] The server creates a detailed work schedule based on the overall construction period, including start and end dates for each work step.

[1430] Step 10:

[1431] The server retrieves the unit prices of building materials and labor costs from a database, calculates the total cost, and generates an estimate.

[1432] Step 11:

[1433] The server formats the generated quote information and transmits it to the terminal.

[1434] Step 12:

[1435] The terminal displays to the user a list of required building materials, a construction schedule, and estimate results.

[1436] Example 1

[1437] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1438] In the modern construction industry, manually calculating the type and quantity of building materials, construction period, schedule, and estimates from building design drawings is extremely time-consuming and labor-intensive. Furthermore, calculation errors and data inconsistencies frequently occur, causing major disruptions to overall project management. To solve these issues, an automated system is needed.

[1439] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1440] In this invention, the server includes a means for receiving design drawing data of a building, a means for analyzing the design drawing data to extract structural information of the building, and a means for calculating the types and quantities of building materials required based on the extracted structural information, thereby enabling quick and accurate calculation of the required building materials from the design drawings.

[1441] "Building design drawing data" refers to data in digital format that represents the structure, layout, dimensions, etc. of a building, and includes formats such as PDF and CAD.

[1442] "Analysis" is the technical process of analyzing digital data and extracting specific information.

[1443] "Structural information" refers to information such as room boundaries, wall lengths, and floor area extracted from building blueprints.

[1444] "Building materials" are materials necessary for the construction of buildings, including wall materials, floor materials, roof materials, etc.

[1445] "Labor force information" refers to data on the number of people engaged in construction work and the working capacity per person (e.g., working hours per day).

[1446] "Construction period" refers to the total time required to construct a building, measured from the start date to the finish date.

[1447] A "schedule" is a work plan that includes specific start and end dates for each work step.

[1448] An "estimate" is a total cost calculated based on the amount of building materials needed, the cost of labor, and other expenses.

[1449] A "database" is a system for efficiently storing and managing related data.

[1450] A "parsing library" is a software component for parsing a particular digital data format.

[1451] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system starts with receiving the design drawing data and performs a series of processes from analysis, calculation, schedule generation, estimate generation, and output of the final results.

[1452] Hardware and software used

[1453] server:

[1454] The server has the following main functions:

[1455] Receiving design drawing data: Receives design drawing data (PDF or CAD format) uploaded by users.

[1456] Format detection: Determines the file format of the received drawing data and selects the PDF or CAD analysis library.

[1457] Data Analysis: Extract building structural information from design drawings using selected analysis libraries.

[1458] Calculate the amount of building materials: Based on the extracted structural information, calculate the type and amount of building materials required. Obtain the standard thickness and size of building materials from the database and use them in the calculation.

[1459] Construction period and schedule generation: Based on the labor information entered by the user, the system calculates the time required for each work process, calculates the overall construction period, and generates a detailed work schedule.

[1460] Generate estimates: Automatically generate estimates based on the quantity of materials needed, construction time, and labor costs. Information on material unit prices and labor costs is retrieved from a database.

[1461] Output of results: Convert the calculation results and estimate information into an appropriate format and send them to the terminal.

[1462] Device:

[1463] The terminal is used by the user and has the following functions:

[1464] Uploading drawing data: Provides a user interface for uploading design drawing data to the server.

[1465] Input of labor force information: Provides a form for inputting the number of people engaged in construction work and the working capacity per person.

[1466] Displaying results: The list of required building materials, construction schedule, and estimate results sent from the server are displayed to the user.

[1467] User:

[1468] The user is responsible for:

[1469] Initial input: Use the terminal to upload design drawing data to the server and enter labor information.

[1470] Results confirmation: Review the final calculation results, schedule, and estimate results.

[1471] Specific examples

[1472] 1. The user uploads a design drawing (PDF) of a two-story house from their device to the server.

[1473] 2. The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1474] 3. The server calculates the required amount of wall materials (e.g., gypsum board), floor materials (e.g., wood flooring), and roofing materials.

[1475] 4. The user enters the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1476] 5. The server calculates the total construction time and determines the overall construction period to be 3 days. It then generates a detailed work schedule.

[1477] 6. The server calculates an estimate based on materials and labor costs and displays the total cost.

[1478] 7. The terminal displays the calculation results to the user, along with a list of building materials, construction schedule, and estimate results.

[1479] Prompt Sentence Examples

[1480] "Upload the design drawing data (PDF) of a two-story house and automatically calculate the amount of building materials required, construction period and schedule, and estimate."

[1481] "Calculate the type of building materials (such as drywall, flooring, roofing, etc.) and the required quantities, calculate the construction time based on labor information, and generate an estimate."

[1482] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1483] Step 1:

[1484] A user uses a terminal to upload building design drawing data (PDF or CAD format) to the server. The input is the design drawing data, and the output is a data file received by the server. Specifically, the user selects the design drawing file using the upload function of the terminal and sends it to the server.

[1485] Step 2:

[1486] The server receives the uploaded design drawing data and determines its format. The input is the design drawing data received in step 1, and the output is the selection result of the library to be applied to the analysis. Specifically, the server checks the file extension, and if it is PDF, it selects the PDF analysis library, and if it is CAD, it selects the CAD analysis library.

[1487] Step 3:

[1488] The server uses the selected analysis library (e.g., PDF analysis library or CAD analysis library) to extract building structural information from the design drawing data. The input is the design drawing data and the selected analysis library, and the output is building structural information (e.g., room boundaries, wall lengths, floor area, etc.). Specifically, the server calls the library's API and analyzes the design drawing data.

[1489] Step 4:

[1490] The server calculates the types and quantities of building materials required based on the extracted structural information. The input is structural information and information on the standard thickness and size of building materials obtained from a database, and the output is a list of building material types and quantities. Specifically, the server calculates the required amount of flooring material from the floor area and the required amount of wall material from the wall area.

[1491] Step 5:

[1492] The user uses a terminal to input labor information such as the number of people engaged in construction work and the working hours per person. The input is information about labor entered through the terminal, and the output is labor information data stored on the server side. Specifically, the user enters the number of people and the working hours per person into the input form on the terminal and sends it to the server.

[1493] Step 6:

[1494] The server calculates the time required for each work process based on the input labor information, and generates the total construction time and a detailed work schedule. The input is labor information and information on the type and quantity of building materials, and the output is the construction period and a detailed work schedule. Specifically, the server calculates the time required for each work process and adds them up to determine the total construction period.

[1495] Step 7:

[1496] The server automatically creates an estimate based on the amount of building materials, the number of days for construction, and the cost of labor. The inputs are the amount of building materials, the construction period, and the unit price of building materials and labor cost information obtained from the database, and the output is the estimate result. Specifically, the server calculates the total cost based on the unit price and required amount of building materials and labor cost.

[1497] Step 8:

[1498] The server converts the calculation results and estimate information into an appropriate format and sends it to the terminal. The input is the calculation results and estimate information, and the output is data in a format that can be viewed by the user. Specifically, the server converts the results into a format such as JSON or XML and sends it to the terminal.

[1499] Step 9:

[1500] The terminal displays to the user the list of required building materials, construction schedule, and estimate results received from the server. The input is the display data sent from the server, and the output is a display of the results that the user can visually check. Specifically, the terminal uses a web browser or similar to appropriately render the received data and display it to the user.

[1501] (Application example 1)

[1502] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1503] The problem that this invention aims to solve is to provide a system that can efficiently perform on-site patrol planning and progress confirmation in addition to the conventional technology that automatically generates the type and quantity of building materials required, the optimal construction period and schedule, and estimates based on building design drawing data. There is a demand for a specific means to grasp on-site information in real time and improve the accuracy of plans.

[1504] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1505] In this invention, the server includes means for receiving design drawing data, means for analyzing the design drawing data and extracting structural information of the building, means for calculating the type and quantity of building materials required based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated amount of required building materials and labor information, means for outputting the generated estimate information, and means for planning site patrols and checking progress based on the results of the design drawing data analysis, thereby enabling the efficiency and accuracy of construction plans to be improved.

[1506] 1. "Design drawing data" refers to a data file containing building design information, provided in formats such as PDF or CAD.

[1507] 2. "Structural information" refers to information such as the boundaries of rooms in a building, wall lengths, and floor area extracted from design drawing data.

[1508] 3. "Building materials" is a general term for materials necessary for the construction of buildings, including wall materials, floor materials, roofing materials, etc.

[1509] 4. "Labor force information" is information entered by the user regarding the number of people engaged in construction work and the working capacity per person (working hours per day).

[1510] 5. "Construction period" refers to the period from the start of construction work to its completion.

[1511] 6. "Schedule" means a plan showing the dates for each work process within the construction period.

[1512] 7. "Estimate" means the total cost of construction calculated based on the quantity of building materials and labor information required.

[1513] 8. "Patrol plan" is a plan for efficiently patrolling the site and checking the progress of construction work.

[1514] 9. "Progress check" refers to the task of checking the progress of work at a construction site.

[1515] This system automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate based on the design drawing data of a building. Furthermore, by adding a means to plan site visits and check progress based on the results of design drawing data analysis, the system streamlines the overall management of a construction project. This system is realized through the collaboration of a server, terminals, and users.

[1516] The server receives and analyzes the design drawing data using a PDF analysis library and a CAD analysis library. These libraries extract structural information from the design drawing, such as room boundaries, wall lengths, and floor area. Based on the extracted structural information, the server calculates the type and quantity of building materials required. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[1517] The terminal provides an interface for users to upload design drawing data and input labor information. Once the user inputs the number of people required for the construction project and the number of hours worked per day, the server uses this information to calculate the time required for each work process and determine the total construction time. It then calculates the overall construction period and generates a detailed schedule.

[1518] The server then automatically creates an estimate based on the calculated amount of building materials needed and labor information. Information on the unit prices of building materials and labor costs is retrieved from a database and added up to generate an estimate of the total cost. The generated estimate information is output to the user via a terminal.

[1519] Furthermore, the server creates a site patrol plan based on the results of design drawing data analysis and checks progress, allowing for real-time information on the site and improving the accuracy of the plan.

[1520] Specific names of hardware and software used

[1521] Hardware: Internet-connected PCs, tablets, smartphones, robots, etc.

[1522] Software: Python language, PDF analysis library (pdfplumber), data calculation library (numpy), graph drawing library (matplotlib)

[1523] Specific examples

[1524] For example, if you are planning to build a new manufacturing line in a factory, you can upload design drawings to the system to quickly estimate the necessary equipment, construction schedule, and construction costs.

[1525] Prompt Sentence Examples

[1526] Using the following information, calculate the quantity of materials, construction time, and cost required to build a manufacturing line:

[1527] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1528] Step 1:

[1529] The user uploads design drawing data (PDF or CAD format) to the server using a terminal. The input is the design drawing data, and the output is raw data stored on the server. This data becomes the basis for analysis.

[1530] Step 2:

[1531] The server determines the format of the uploaded design drawing data. The input is the design drawing data, and the output is the data format (PDF or CAD). The server selects the appropriate analysis library. For PDF format, it uses the PDF analysis library (pdfplumber), and for CAD format, it uses the CAD analysis library.

[1532] Step 3:

[1533] Using the selected analysis library, the server analyzes the design drawing data and extracts building structural information (room boundaries, wall lengths, floor area, etc.) The input is the design drawing data, and the output is the extracted structural information.

[1534] Step 4:

[1535] The server uses a data calculation library (numpy) to calculate the type and amount of building materials required based on the extracted structural information. The input is the structural information, and the output is the calculated type and amount of building materials. For example, the amount of wall material required is calculated from the wall area, and the amount of flooring material required is calculated from the floor area.

[1536] Step 5:

[1537] A user uses a terminal to input labor information (number of people, working hours per day). The input is labor information, and the output is labor data stored on the server. This data is used to calculate construction period and schedule.

[1538] Step 6:

[1539] The server creates the optimal construction period and schedule based on the labor information entered by the user. The input is labor information and building material calculation results, and the output is a detailed construction period and schedule. For example, it calculates the total construction time and determines a detailed work schedule.

[1540] Step 7:

[1541] The server generates an estimate based on the calculated amount of required building materials and labor information. The input is the building material calculation results and labor data, and the output is the estimate information. Information on the unit price of building materials and labor costs is obtained from the database and the total cost is calculated.

[1542] Step 8:

[1543] The server converts the generated estimate information into an appropriate format and sends it to the terminal. The input is the estimate information, and the output is estimate data in a format that can be viewed by the user. The terminal displays to the user a list of required building materials, a construction schedule, and the estimate results.

[1544] Step 9:

[1545] The server creates a site patrol plan based on the results of design drawing data analysis and sends the data to patrol devices such as robots. The input is the results of design drawing data analysis and the output is the patrol plan. The robot patrols the site, checks progress, and feeds that information back to the server.

[1546] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1547] This invention is a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system performs a series of processes, from receiving and analyzing design drawing data, calculating the required quantity of building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. Furthermore, this invention also incorporates an emotion engine that recognizes the user's emotions and adjusts the system's output based on them.

[1548] System configuration

[1549] 1. Program Overview

[1550] The server plays a central role in receiving design drawing data, performing analysis, calculations, generating schedules and estimates, and outputting results.

[1551] The terminal allows users to upload design drawing data, input labor information, collect emotion data, and display the final results.

[1552] The user is responsible for initial input and confirmation of the system.

[1553] The emotion engine analyzes the user's emotions in real time and dynamically adjusts the system's output based on that feedback.

[1554] Explaining program processing in natural language

[1555] 1. Receiving and analyzing drawing data

[1556] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1557] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF analysis library for PDF files, CAD analysis library for CAD files.

[1558] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[1559] 2. Calculate the amount of building materials needed

[1560] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[1561] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[1562] 3. Labor and construction time calculations

[1563] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[1564] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[1565] 4. Generate a quote

[1566] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[1567] The server adds up all the expenses and generates a total cost estimate.

[1568] 5. Emotional Engine Adjustment

[1569] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[1570] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[1571] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[1572] 6. Outputting the results

[1573] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[1574] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[1575] Specific examples

[1576] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[1577] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1578] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[1579] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1580] The server calculates the total construction time and duration and generates a detailed work schedule.

[1581] The server calculates an estimate based on materials and labor costs and generates a total cost.

[1582] The terminal collects the user's emotions and sends them to the emotion engine.

[1583] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[1584] The server formats the final calculation results and sends them to the terminal.

[1585] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[1586] The system of the present invention allows flexible responses according to the user's emotions, and can efficiently perform estimation work with higher accuracy.

[1587] The processing flow will be explained below.

[1588] Step 1:

[1589] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1590] Step 2:

[1591] The server receives the uploaded design drawing data and determines the file format. If it is a PDF file, it uses a PDF parsing library, and if it is a CAD file, it uses a CAD parsing library.

[1592] Step 3:

[1593] The server uses an analysis library to extract building structural information from blueprints, such as room layout, wall length, floor area, and window and door locations.

[1594] Step 4:

[1595] The server calculates the type and amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring material needed based on the floor area.

[1596] Step 5:

[1597] The server retrieves the standard thickness and size of each building material from the database and uses this information in calculations, allowing for highly accurate calculations of the required amount of building materials.

[1598] Step 6:

[1599] The user inputs the number of people working on the construction project (e.g., 10 people) and the working capacity per person (e.g., 8 hours per day) from the terminal.

[1600] Step 7:

[1601] The server calculates the time required for each work process based on the input labor information, for example, how long it will take to install wall coverings.

[1602] Step 8:

[1603] The server calculates the total construction time, determines the overall construction period, and then creates a detailed work schedule with start and end dates for each work step.

[1604] Step 9:

[1605] The server retrieves the unit prices of the building materials from the database and calculates the cost of the building materials based on the aforementioned required quantities, as well as the labor costs, to generate a total cost estimate.

[1606] Step 10:

[1607] The device collects the user's emotional data, for example, through facial expression recognition and voice analysis, and sends the real-time emotional data to the emotion engine.

[1608] Step 11:

[1609] The emotion engine analyzes the user's emotions and adjusts the system's response accordingly, for example, if the user is anxious, it may send instructions to the server to display additional explanations or illustrations.

[1610] Step 12:

[1611] The server dynamically changes the way estimates are presented and the detailed schedule display according to the instructions of the emotion engine.

[1612] Step 13:

[1613] The server converts the final calculation results and adjusted quote information into an appropriate format and sends them to the terminal.

[1614] Step 14:

[1615] The device displays to the user a list of required building materials, construction schedule, and estimate results in real time, along with additional information and explanations based on feedback from the emotion engine, if needed.

[1616] Example 2

[1617] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1618] In the conventional building design process, manually calculating the required quantity of building materials, construction period, and estimates from design drawings was a time-consuming and labor-intensive process. Additionally, there was a lack of flexibility in providing additional detailed explanations and materials to address users' concerns and questions. Furthermore, selecting analysis methods according to the design drawing format and optimizing construction periods also required manual steps, making efficient project management difficult.

[1619] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1620] In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data to extract structural information about the building, and means for calculating the type and quantity of building materials required based on the extracted structural information. This also includes an emotion engine for collecting and analyzing user emotion data, means for dynamically adjusting system output based on the analysis results of the emotion engine, means for outputting generated estimate information, means for determining the format of the design drawing data and selecting an appropriate analysis library, and means for calculating the start and end dates of each work process based on the calculated construction period and schedule. This automates the entire process from design drawing analysis to estimate generation, and also enables flexible responses to user emotions.

[1621] "Design drawing data" refers to electronic files containing drawing information related to building designs. Typical formats are PDF and CAD.

[1622] "Analysis Library" means a collection of software tools and programs for analyzing engineering drawing data, including specialized libraries for accommodating different file formats.

[1623] "Building structural information" refers to information about the specific structure of a building, such as the layout of the building, the shape of the rooms, the length of the walls, and the floor area, extracted from the design drawings.

[1624] "Building materials" means materials used in the construction of buildings, including, for example, gypsum board, flooring, and concrete.

[1625] "Labor force information" refers to detailed information about labor, such as the number of workers engaged in construction work and the available working hours per person.

[1626] An "estimate" is a calculation of the total cost of a building project, including the types and quantities of materials needed and labor costs.

[1627] "Emotion data" refers to information about the user's emotional state, such as anxiety, relief, or doubt.

[1628] An "emotion engine" is a software component that analyzes user emotional data and dynamically adjusts the system's output based on the results.

[1629] MODE FOR CARRYING OUT THE INVENTION

[1630] This system analyzes building design drawings and automatically generates the required amount of building materials, the optimal construction period and schedule, and an estimate. It performs a series of processes, from receiving and analyzing design drawing data, calculating the amount of required building materials, inputting labor information, generating the construction period and schedule, and outputting the final estimate. It also has an emotion engine that recognizes the user's emotions and adjusts the system's output based on that feedback.

[1631] Hardware and software used

[1632] Hardware:

[1633] Server: A server with high-performance computing power

[1634] Device: The computer or tablet the user uses

[1635] Input devices: keyboard, mouse

[1636] software:

[1637] Analysis libraries: PDF analysis library, CAD analysis library

[1638] Database: Stores standard information on building materials and labor costs

[1639] Emotion Engine: Emotion recognition software for analyzing user emotions

[1640] User interface: UI using a web browser

[1641] A natural language description of the system's program

[1642] 1. Receiving and analyzing drawing data

[1643] The user uploads building design drawing data from their device to the server. The design drawing data is usually in PDF or CAD format.

[1644] The server receives the uploaded design drawing data, determines the file format, and selects the appropriate analysis library: PDF files are analyzed using the PDF analysis library, and CAD files are analyzed using the CAD analysis library.

[1645] The server uses an analysis library to extract building structural information (room layout, wall length, floor area, etc.) from the design drawings.

[1646] 2. Calculate the amount of building materials needed

[1647] The server calculates the amount of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed based on the wall area, and the amount of flooring needed based on the floor area.

[1648] The server retrieves the standard thickness and size for each type of building material from a database and uses this information for calculations.

[1649] 3. Labor and construction time calculations

[1650] Users use their terminals to input the number of people working on the construction project and the working capacity per person (working hours per day).

[1651] Based on the input labor information, the server calculates the time required for each work process and calculates the total construction time. It then calculates the overall construction period and generates a detailed work schedule.

[1652] 4. Generate a quote

[1653] The server automatically creates an estimate based on the amount of building materials required, the number of days required for construction, and the cost of labor. Information on the unit price of building materials and labor costs is obtained from a database.

[1654] The server adds up all the expenses and generates a total cost estimate.

[1655] 5. Emotional Engine Adjustment

[1656] The device collects the user's emotional data and sends it to the emotion engine, which is based on real-time feedback or pre-entered data.

[1657] The emotion engine analyzes the user's emotions and adjusts the system's output accordingly. For example, if the user is feeling anxious, the system may provide more detailed explanations or display additional graphs.

[1658] The server dynamically changes the content displayed and the way estimates are presented based on instructions from the emotion engine.

[1659] 6. Outputting the results

[1660] The server converts the final calculation results and estimate information into an appropriate format and sends them to the terminal.

[1661] The device displays a list of required building materials, a construction schedule, and estimates to the user, and provides additional information and explanations as needed based on the user's emotional feedback.

[1662] Specific examples

[1663] A user uploads a design drawing (PDF) of a two-story house from their terminal to the server.

[1664] The server analyzes the blueprint and extracts the floor and wall areas of each room on the first and second floors.

[1665] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., flooring).

[1666] The user inputs the number of people required for the construction work (e.g., 10 people) and the working hours per person (e.g., 8 hours / day).

[1667] The server calculates the total construction time and duration and generates a detailed work schedule.

[1668] The server calculates an estimate based on materials and labor costs and generates a total cost.

[1669] The terminal collects the user's emotions and sends them to the emotion engine.

[1670] The emotion engine analyzes the user's emotions and, if there are any concerns or doubts, instructs the server to display additional detailed illustrations and graphs.

[1671] The server formats the final calculation results and sends them to the terminal.

[1672] The terminal dynamically displays to the user a list of building materials, construction schedules, and estimate results.

[1673] Prompt Sentence Examples

[1674] "Upload the design drawings (PDF format) of a two-story house into the system and have the system automatically generate the quantities of building materials needed, the optimal construction period and schedule, and an estimate."

[1675] The system allows users to quickly and accurately generate estimates for construction projects and also responds to user emotions.

[1676] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1677] Step 1: Receiving the drawing data

[1678] The user uploads the building design drawing data from their device to the server. The design drawing data is in the form of a PDF or CAD file.

[1679] Input: Design drawing data (PDF or CAD file)

[1680] Output: Design drawing data is sent to the server

[1681] Step 2: Analyze the design drawing data

[1682] The server determines the format of the uploaded design drawing data and selects either a PDF parsing library or a CAD parsing library.

[1683] Input: Design drawing data (PDF or CAD file)

[1684] Output: Analysis library selection

[1685] The server analyzes the design drawing data using the selected analysis library and extracts structural information about the building (room layout, wall length, floor area, etc.).

[1686] Input: Analysis library, design drawing data

[1687] Output: Building structural information

[1688] Step 3: Calculate the amount of building materials needed

[1689] The server uses the extracted structural information to calculate the type and amount of building materials needed, for example, calculating the amount of wall material needed from the wall area and the amount of flooring needed from the floor area.

[1690] Input: Building structural information

[1691] Output: Type and amount of building materials required

[1692] The server retrieves information on the thickness and size of standard building materials from a database and performs calculations based on this information.

[1693] Input: Building material standard information (database)

[1694] Output: Detailed information on required building materials

[1695] Step 4: Enter workforce information

[1696] The user enters the number of people working on the construction project and the working hours per person (e.g., 8 hours per day) on the terminal.

[1697] Input: Labor force information

[1698] Output: Workforce information sent to the server

[1699] Step 5: Calculate construction period and schedule

[1700] The server calculates the time required for each work process based on the input labor information, for example, the time required to install plasterboard.

[1701] Input: Labor information, type and quantity of required building materials

[1702] Output: Time per operation

[1703] The server calculates the total construction time and duration and generates a detailed work schedule.

[1704] Input: Time per operation

[1705] Output: Total construction time, construction period, detailed work schedule

[1706] Step 6: Generate a quote

[1707] The server automatically generates an estimate based on the amount of building materials required, the number of days required for construction, and labor costs. Information such as unit prices is obtained from a database.

[1708] Input: Required amount of building materials, number of construction days, labor cost information (database)

[1709] Output: Estimate information

[1710] The server formats the estimate as a total cost.

[1711] Input: Quote information

[1712] Output: Formatted quote

[1713] Step 7: Collect and analyze emotion data

[1714] The device collects the user's emotional data in real time and transmits it to the server.

[1715] Input: Emotion data

[1716] Output: Emotion data sent to the server

[1717] The emotion engine analyzes the collected emotion data to determine the user's emotional state.

[1718] Input: Emotion data

[1719] Output: Emotion analysis results

[1720] Step 8: Adjust the system's output based on emotions

[1721] Based on the analysis results, the emotion engine instructs the server to dynamically adjust the system output, for example by adding detailed explanations or graphs.

[1722] Input: Sentiment analysis results

[1723] Output: Output adjustment instructions

[1724] The server follows the instructions of the emotion engine to change the content displayed and the way estimates are presented.

[1725] Input: Output adjustment instructions

[1726] Output: Regulated system output

[1727] Step 9: Output the results

[1728] The server sends the final calculation results and estimate information to the terminal.

[1729] Input: Regulated system output

[1730] Output: Results sent to the terminal

[1731] The terminal displays the final results (list of required building materials, construction schedule, and estimate).

[1732] Input: Final result

[1733] Output: The result displayed to the user

[1734] (Application example 2)

[1735] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1736] In building construction projects, it is necessary to efficiently generate the required quantity of building materials, construction period and schedule, and estimates from design drawing data. Furthermore, to smoothly manage projects, it is important to analyze the emotions of users (workers) and provide appropriate feedback. This invention aims to solve these problems and achieve more accurate estimation and efficient schedule management by dynamically adjusting the output based on the user's emotions.

[1737] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving design drawing data of a building, means for analyzing the design drawing data and extracting structural information about the building, means for calculating the type and quantity of necessary building materials based on the extracted structural information, means for creating an optimal construction period and schedule based on labor information input by the user, means for generating an estimate based on the calculated quantity of necessary building materials and labor information, means for collecting user emotion data, means for analyzing the collected emotion data and dynamically adjusting the system output, and means for outputting the generated estimate information. This makes it possible to automatically generate materials, construction period, and estimates from design drawing data while providing dynamic feedback and adjustments based on the user's emotions.

[1738] "Design drawing data" refers to a file format containing design information for a building or structure, such as PDF or CAD format.

[1739] "Structural information" refers to specific construction information such as the room layout, wall length, and floor area of ​​a building, extracted from design drawing data.

[1740] "Building materials" refers to specific materials required to construct a building, including, for example, wall materials and flooring materials.

[1741] "Labor information" refers to data related to labor, such as the number of workers on a construction project and the number of hours worked per day.

[1742] "Construction period" refers to the period required for the entire construction work, including the start and end dates of specific work processes.

[1743] A "schedule" is a detailed schedule of each work process in a construction project, and is set based on the construction period.

[1744] An "estimate" is a calculation of the total cost of a construction project, generated based on the quantity of building materials required and the cost of labor.

[1745] "Emotion data" is data collected to analyze a user's emotions, such as anxiety, satisfaction, doubt, etc.

[1746] "Dynamic adjustment means" refers to a mechanism that changes the system's output content in real time based on the analysis results of collected emotional data.

[1747] The present invention relates to a system that analyzes building design drawings and automatically generates the required quantity of building materials, the optimal construction period and schedule, and an estimate. This system also includes a function that recognizes the user's emotions and dynamically adjusts the output as needed.

[1748] System configuration

[1749] 1. Receiving design drawing data

[1750] The server receives building design drawing data uploaded by users via their terminals, which are usually in PDF or CAD format.

[1751] 2. Analysis of design drawing data

[1752] The server analyzes the received design drawing data and extracts building structural information (room layout, wall length, floor area, etc.) using a PDF analysis library and a CAD analysis library.

[1753] 3. Calculating the amount of building materials required

[1754] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area, and the amount of flooring needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[1755] 4. Construction period and schedule generation

[1756] The server generates the optimal construction period and detailed schedule based on the labor force information (number of workers, working hours per day) entered by the user on their terminal, calculates the start and end dates for each work process, and determines the overall construction period.

[1757] 5. Generate a quote

[1758] The server generates a construction project estimate based on the calculated required building material quantities and labor information, which includes the cost of the building materials and the cost of the labor.

[1759] 6. Emotional Data Collection and Analysis

[1760] The device collects the user's emotional data and sends it to the server, based on real-time feedback or pre-entered data.

[1761] The server analyzes the emotion data using an emotion engine and dynamically adjusts the system output based on the analysis results.

[1762] 7. Outputting the results

[1763] The server generates the final results and sends them to the user's device. The results include a list of required building materials, a construction schedule, and estimate information. They also include feedback based on the emotion data.

[1764] Specific examples

[1765] The user uploads a house design drawing (PDF) from their device to the server.

[1766] The server analyzes the design drawings and extracts structural information.

[1767] The server calculates the required amount of wall materials (e.g., plasterboard) and floor materials (e.g., wood flooring).

[1768] The user inputs the number of workers (e.g., 10 people) and the working hours per day (e.g., 8 hours) from the terminal.

[1769] The server calculates the total construction time and duration and generates a detailed schedule.

[1770] The server generates a quote based on materials and labor costs.

[1771] The terminal collects the user's emotion data and transmits it to the emotion engine.

[1772] The server adjusts the output content as needed based on instructions from the emotion engine.

[1773] The terminal displays the final result to the user.

[1774] Prompt Sentence Examples

[1775] Analysis of design drawing data and calculation of required building materials:

[1776] "Analyze the blueprints of a house and calculate the amount of wall and flooring needed."

[1777] Create construction periods and schedules based on labor information:

[1778] "Generate a detailed schedule with construction durations including start and end dates for each work process, assuming 10 workers can work 8 hours a day."

[1779] Adjusting output based on sentiment data:

[1780] "Adjust it to show more detailed instructions or graphs if the user is unsure."

[1781] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1782] Step 1:

[1783] The server receives the building design drawing data uploaded by the user via the terminal. The design drawing data is in PDF or CAD format. The server selects the appropriate analysis library for the received data depending on the format.

[1784] Input: Design drawing data (PDF or CAD format)

[1785] Output: Analysis Library Selection

[1786] Step 2:

[1787] The server analyzes the design drawing data using the selected analysis library to extract structural information about the building, such as room layout, wall length, and floor area.

[1788] Input: Design drawing data, analysis library

[1789] Output: Structural information (room layout, wall length, floor area)

[1790] Step 3:

[1791] The server calculates the type and quantity of building materials needed based on the extracted structural information. For example, it calculates the amount of wall material needed from the wall area and the amount of flooring material needed from the floor area. Standard thicknesses and sizes of building materials are obtained from a database.

[1792] Input: structural information, building materials database

[1793] Output: Type and amount of building materials required

[1794] Step 4:

[1795] The user inputs labor information (number of workers, working hours per day) from their terminal. Based on this labor information, the server calculates the time required for each work process and calculates the total construction time. Next, it calculates the overall construction period and generates a detailed work schedule.

[1796] Input: Labor force information (number of workers, working hours per day)

[1797] Output: Detailed work schedule

[1798] Step 5:

[1799] The server generates a project estimate based on the calculated amount of required building materials and labor information, retrieves the cost of building materials and labor from the database, and calculates the total cost.

[1800] Input: Required building materials, labor information, cost database

[1801] Output: Quote

[1802] Step 6:

[1803] The device collects the user's emotional data and sends it to the server. The emotional data may be collected in real time or input in advance. The server analyzes the emotional data using an emotion engine and dynamically adjusts the system's output based on the results.

[1804] Input: Emotion data

[1805] Output: Adjusting the output based on the sentiment analysis results

[1806] Step 7:

[1807] The server formats the final calculation results (list of required building materials, construction schedule, and estimate) and sends them to the user's device, which displays these results to the user, along with additional information based on the emotion data.

[1808] Input: Final calculation results (list of required building materials, construction schedule, estimate), emotion analysis results

[1809] Output: What is displayed to the user

[1810] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1811] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1812] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1813] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1814] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1815] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1816] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1817] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1818] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1819] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1820] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1821] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1822] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1823] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1824] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1825] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1826] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1827] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1828] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1829] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1830] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1831] The following is further disclosed regarding the above embodiment.

[1832] (Claim 1)

[1833] means for receiving building design drawing data;

[1834] means for analyzing the design drawing data and extracting structural information of the building;

[1835] A means for calculating the type and amount of building materials required based on the extracted structural information;

[1836] A means for creating an optimal construction period and schedule based on labor information input by a user;

[1837] a means for generating an estimate based on the calculated amount of required building materials and labor information;

[1838] A means for outputting the generated estimate information;

[1839] A system including:

[1840] (Claim 2)

[1841] 10. The system of claim 1, further comprising means for determining a format of the engineering drawing data and selecting an appropriate analysis library.

[1842] (Claim 3)

[1843] 2. The system of claim 1, further comprising means for calculating start and end dates for each work process based on the calculated construction period and schedule.

[1844] "Example 1"

[1845] (Claim 1)

[1846] means for receiving building design drawing data;

[1847] means for analyzing the design drawing data and extracting structural information of the building;

[1848] A means for calculating the type and amount of building materials required based on the extracted structural information;

[1849] A means for creating an optimal construction period and schedule based on labor information input by a user;

[1850] a means for generating an estimate based on the calculated amount of required building materials and labor information;

[1851] A means for outputting the generated estimate information;

[1852] A means of using a database to obtain standard thicknesses and sizes of building materials;

[1853] A system including:

[1854] (Claim 2)

[1855] 10. The system of claim 1, further comprising means for determining a format of the engineering drawing data and selecting an appropriate analysis library.

[1856] (Claim 3)

[1857] 2. The system of claim 1, further comprising means for calculating start and end dates for each work process based on the calculated construction period and schedule.

[1858] "Application Example 1"

[1859] (Claim 1)

[1860] means for receiving building design drawing data;

[1861] means for analyzing the design drawing data and extracting structural information of the building;

[1862] A means for calculating the type and amount of building materials required based on the extracted structural information;

[1863] A means for creating an optimal construction period and schedule based on labor information input by a user;

[1864] a means for generating an estimate based on the calculated amount of required building materials and labor information;

[1865] A means for outputting the generated estimate information;

[1866] A means of planning site visits and checking progress based on the results of design drawing data analysis;

[1867] A system including:

[1868] (Claim 2)

[1869] 10. The system of claim 1, further comprising means for determining a format of the engineering drawing data and selecting an appropriate analysis library.

[1870] (Claim 3)

[1871] 2. The system of claim 1, further comprising means for calculating start and end dates for each work process based on the calculated construction period and schedule.

[1872] "Example 2: Combining Emotion Engines"

[1873] (Claim 1)

[1874] means for receiving building design drawing data;

[1875] means for analyzing the design drawing data and extracting structural information of the building;

[1876] A means for calculating the type and amount of building materials required based on the extracted structural information;

[1877] A means for creating an optimal construction period and schedule based on labor information input by a user;

[1878] a means for generating an estimate based on the calculated amount of required building materials and labor information;

[1879] A means for outputting the generated estimate information;

[1880] an emotion engine that collects and analyzes user emotion data;

[1881] means for dynamically adjusting the output of the system based on the analysis results of the emotion engine;

[1882] A system including:

[1883] (Claim 2)

[1884] 10. The system of claim 1, further comprising means for determining a format of the engineering drawing data and selecting an appropriate analysis library.

[1885] (Claim 3)

[1886] 2. The system of claim 1, further comprising means for calculating start and end dates for each work process based on the calculated construction period and schedule.

[1887] "Application example 2 when combining emotion engines"

[1888] (Claim 1)

[1889] means for receiving building design drawing data;

[1890] means for analyzing the design drawing data and extracting structural information of the building;

[1891] A means for calculating the type and amount of building materials required based on the extracted structural information;

[1892] A means for creating an optimal construction period and schedule based on labor information input by a user;

[1893] a means for generating an estimate based on the calculated amount of required building materials and labor information;

[1894] means for collecting user emotion data;

[1895] a means for analyzing the collected emotion data and dynamically adjusting the output of the system;

[1896] A means for outputting the generated estimate information;

[1897] A system including:

[1898] (Claim 2)

[1899] 10. The system of claim 1, further comprising means for determining a format of the engineering drawing data and selecting an appropriate analysis library.

[1900] (Claim 3)

[1901] 2. The system of claim 1, further comprising means for calculating start and end dates for each work process based on the calculated construction period and schedule. [Explanation of symbols]

[1902] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving building design drawing data; means for analyzing the design drawing data and extracting structural information of the building; A means for calculating the type and amount of building materials required based on the extracted structural information; A means for creating an optimal construction period and schedule based on labor information input by a user; a means for generating an estimate based on the calculated amount of required building materials and labor information; A means for outputting the generated estimate information; A system including:

2. The system of claim 1 further comprising means for determining a format of the engineering drawing data and selecting an appropriate analysis library.

3. 2. The system according to claim 1, further comprising means for calculating start and end dates for each work process based on the calculated construction period and schedule.

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