system

Abstract

We provide the system. [Solution] A means for collecting three-dimensional data of an object using a three-dimensional image acquisition device, An information processing device that automatically performs construction evaluation by comparing the aforementioned three-dimensional data with design information, A display device that presents a revised plan to the worker based on the aforementioned construction evaluation, A system that includes this.

Description

Technical Field

[0004] , , ,

[0005] , , ,

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] At construction sites, the management of construction quality and progress is mainly carried out manually, which causes a large burden on managers. In addition, it is difficult to detect construction mistakes and progress delays at an early stage, which hinders efficient project management. Furthermore, due to the shortage of skilled technicians, the quality control of the entire site has become an issue. In such a situation, there is a need for a technology that promotes the early detection and rapid correction of construction mistakes and improves the efficiency of site operations.

Means for Solving the Problems

[0005] This invention provides an information processing device that automatically performs construction evaluation by collecting three-dimensional data of a construction site in real time using a three-dimensional image acquisition device and comparing it with design information. By including a display device that presents proposed corrections to workers based on the construction evaluation results generated by this information processing device, early detection and correction of construction errors become possible. Furthermore, by having a function to measure the progress of the construction process and automatically update the schedule, the burden on managers is reduced. In addition, by automatically generating daily reports and construction reports from the construction evaluation results and providing them to managers, the efficiency of on-site operations is improved.

[0006] A "three-dimensional image acquisition device" is a device for acquiring three-dimensional information, and specifically, it is a device that measures the shape and position of an object using LiDAR sensors, stereo cameras, etc.

[0007] "Three-dimensional data of an object" refers to data that includes spatial positional information collected by a three-dimensional image acquisition device, and is used to record the shape and dimensions of an object.

[0008] "Design information" refers to technical documents, including drawings and specifications of structures and equipment planned in a construction project, and serves as data that forms the basis for construction.

[0009] "Construction evaluation" is the process of determining how well the current state of the construction site matches the design information, and whether the quality of the construction meets the prescribed standards.

[0010] An "information processing device" is a device that can analyze digital data at high speed and output the results, and generally refers to a computer or a dedicated control device.

[0011] A "correction plan" refers to a specific method or procedure proposed to correct any errors or discrepancies detected in the current state of the construction site.

[0012] A "display device" is a device that visually displays the output from an information processing device, and includes displays and projectors.

[0013] A "project schedule" is a chart that shows the sequence and duration of tasks in chronological order, used to manage the progress of a project.

[0014] A "daily report" is a document that records the content, progress, and problems of each day's work, and is used to continuously understand the current state of operations.

[0015] A "construction report" is a report that details the construction process, quality, and progress, and is submitted to the relevant parties. [Brief explanation of the drawing]

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

Mode for Carrying Out the Invention

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

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

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

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

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

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

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

[0026] As shown in Figure 1, the 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 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

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

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0033] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the 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 processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

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

[0037] This invention is a system for efficiently managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, and a display device, and each device works in cooperation to collect, analyze, and present data.

[0038] The terminal uses a 3D image acquisition device installed on-site to collect 3D data of the construction area in real time. This data accurately records the three-dimensional shape and position of the construction object. The collected data is compressed and sent to the server.

[0039] The server stores the received 3D data in a database and compares it with pre-registered design information. Here, AI is used to automatically perform a construction evaluation and determine whether the construction is progressing according to the design. The server then generates revised plans based on the construction evaluation results and points out construction errors and deviations as needed.

[0040] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The terminal's display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. This improves the quality of construction and enables early detection and correction of errors.

[0041] Users, i.e., administrators, can manage site progress and construction quality through daily reports and construction reports automatically generated by the server. These reports meticulously record daily work and progress, which can be used to plan the next work. The progress of the construction process is monitored by the server, and the schedule is automatically updated, reducing user effort and streamlining overall site operations.

[0042] As a concrete example, consider the installation status of a wall at a construction site. A terminal collects 3D scan data of the wall at the site and sends it to a server. The server analyzes this data and compares it with design information to determine if there are any discrepancies in the wall's position or dimensions. Necessary correction suggestions are communicated to the terminal's display device, allowing workers to make the necessary corrections immediately. Managers can check the progress through reports from the server and manage the overall progress. In this way, construction errors are reduced and site operations become more efficient.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data includes detailed information about the location and shape of the construction object.

[0046] Step 2:

[0047] The terminal compresses the acquired 3D data and sends it to the server via the network. This transmission is done in real time, so the latest status of construction progress is always reflected.

[0048] Step 3:

[0049] The server stores the received 3D data in a database and prepares it for analysis. It then formats the data for comparison with registered design information.

[0050] Step 4:

[0051] The server uses AI analysis to compare the received 3D data with the design information. This comparison evaluates whether the construction was made according to the design and whether there are any discrepancies or errors.

[0052] Step 5:

[0053] Based on the analysis results, the server generates an evaluation of the construction and specific proposed modifications if necessary. These modifications include specific procedures and necessary adjustments.

[0054] Step 6:

[0055] The terminal receives construction evaluation results and proposed revisions sent from the server and presents them to the worker. A display device is used to provide information in a visually easy-to-understand manner.

[0056] Step 7:

[0057] The user reviews the construction evaluation and proposed revisions presented through the terminal and begins correcting the work. If necessary, they adjust the work process to improve construction quality.

[0058] Step 8:

[0059] The server automatically generates daily reports and construction reports based on the daily construction evaluation results. The generated reports are distributed to the administrator, who uses them to understand the progress and plan the next work.

[0060] Step 9:

[0061] Users review daily reports and construction reports sent from the server, recording the progress and results of the construction. This supports efficient operation and quality control of the entire site.

[0062] (Example 1)

[0063] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0064] In construction sites, quality control and progress management are typically evaluated through visual inspection and manual data entry, which is inefficient and prone to subjective factors. As a result, early detection of construction errors is difficult, and improving overall construction quality is challenging.

[0065] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0066] In this invention, the server includes means for collecting three-dimensional spatial data using three-dimensional image acquisition technology, information processing technology for automatically performing a construction quality evaluation by comparing the three-dimensional data with design standards, and display technology for presenting the automatically generated construction evaluation and correction instructions to the worker. This makes it possible to efficiently perform highly accurate construction management.

[0067] "Three-dimensional image acquisition technology" is a technology that measures and records the shape of objects and spaces as three-dimensional data.

[0068] "3D data" refers to digital data that includes information about position and shape in three-dimensional space.

[0069] "Design standards" refer to pre-established design standards and specifications that should be referenced during construction.

[0070] "Construction quality evaluation" is a process of analyzing the construction status and determining the degree of conformity with design standards and the accuracy of the construction.

[0071] "Information processing technology" refers to the techniques used to analyze, compare, and evaluate collected data.

[0072] "Display technology" refers to technologies that visually present information to users to aid their understanding.

[0073] "Correction instructions" are specific instructions provided to improve construction procedures or results.

[0074] "Construction progress" is an indicator that shows the current status of work in a construction project.

[0075] "Analysis techniques" are techniques for analyzing data in detail and extracting meaningful information.

[0076] This invention is a system for efficiently managing construction quality and progress at construction sites. The system includes a device for acquiring three-dimensional images, a device for processing information, and a device for displaying information. Each device works in conjunction with the others to collect, analyze, and present data.

[0077] The terminal collects three-dimensional data of the construction site in real time using a three-dimensional image acquisition device installed on-site. Specific hardware used includes three-dimensional scanners and cameras. These devices accurately record the three-dimensional shape and position of the construction object in digital format. The collected data is format-converted and compressed within the terminal, preparing it for efficient data transfer.

[0078] The server receives 3D data sent from the terminal using a secure protocol and stores it in a database. AI technology is then used to compare it with pre-registered design standards. The specific software includes AI models and data analysis software, executing commands such as "Analyze the new construction data and evaluate the degree of conformance to the design" as prompts. Based on the evaluation results, the server determines whether the construction is progressing according to the design and generates revised plans as needed.

[0079] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. For example, AR technology is used to visually highlight areas that need correction, aiding workers in their understanding. This method improves construction quality and enables early detection and correction of errors.

[0080] As a concrete example, consider the installation of a wall at a construction site. The terminal collects 3D scan data of the wall at the site and sends it to the server. The server analyzes this data and compares it with design standards to determine if there are any discrepancies in the wall's position or dimensions. It then transmits the necessary corrections to the terminal's display device, allowing workers to respond immediately.

[0081] This system improves the overall efficiency of construction projects and reduces construction errors.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The terminal activates the on-site 3D image acquisition device and collects 3D data of the construction site in real time. This device uses a laser scanner and a 3D camera to acquire three-dimensional data of the space. The input is the actual construction site, and the output is the collected high-precision 3D digital data. Specifically, the terminal controls the image acquisition device, sets the scan range, and acquires the data.

[0085] Step 2:

[0086] The terminal denoises and converts the format of the collected 3D data, then uses compression technology to optimize the data. The input is raw data, and the output is compressed digital data. Specifically, the data is processed by a processor, and a compression algorithm is applied to improve transfer efficiency.

[0087] Step 3:

[0088] The terminal sends compressed 3D data to the server using a secure protocol. The input here is the compressed data held on the terminal, and the output is the same compressed data received on the server side. Specifically, the data is uploaded to the server using secure communication such as HTTPS.

[0089] Step 4:

[0090] The server stores the received 3D data in a database and performs analysis by comparing it with pre-registered design standards. The input is the received compressed 3D data, and the output is the result of the construction evaluation. The specific operation includes an analysis process using an AI model, and the AI ​​is instructed with a prompt message such as "Evaluate the degree of agreement with the design."

[0091] Step 5:

[0092] The server automatically generates revised plans based on the construction evaluation results. The input is the construction evaluation results, and the output is the necessary revised plans. Specifically, it performs a variance analysis, identifies the areas that need correction, and defines the countermeasures.

[0093] Step 6:

[0094] The terminal displays construction evaluations and revised proposals sent from the server to the on-site workers. The input is the revised proposals from the server, and the output is construction information presented visually. Specifically, this involves displaying the information on a screen and, in some cases, using AR technology to visualize the changes in the plan.

[0095] Step 7:

[0096] Users comprehensively manage the progress and quality of the construction site through the generated daily reports and construction reports. Inputs are reports generated by the server, and outputs are detailed management information from the site. Specific actions include checking progress using a dashboard and viewing reports within the system.

[0097] (Application Example 1)

[0098] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0099] The challenge is to provide a system that improves the efficiency of construction quality and progress management at construction sites, enabling workers and managers to obtain information in real time and make appropriate decisions quickly.

[0100] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0101] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device; an information processing device for automatically performing a construction evaluation by comparing the three-dimensional data with design information; a video display device for visually presenting a revised plan to the worker based on the construction evaluation; and means for the worker to check the construction information in real time using a physical extension terminal. This enables improved construction quality and early detection and correction of errors.

[0102] A "three-dimensional image acquisition device" is a device used to collect three-dimensional data of objects, and is used to acquire detailed and accurate shape data at construction sites and other locations.

[0103] "3D data" refers to information that shows the shape and position of an object in three dimensions, and is used to evaluate the accuracy and progress of construction work.

[0104] An "information processing device" is a device that automatically performs construction evaluations by comparing collected 3D data with design information, and utilizes AI technology to analyze the progress of construction.

[0105] A "video display device" is a device used to visually present construction evaluations and revised plans to workers, and is a display device that allows real-time confirmation of actual augmented information.

[0106] A "terminal for real-time extension" is a portable device that allows workers to check construction information in real time and is a device that supports immediate decision-making on-site.

[0107] This invention is a system for efficiently managing construction quality and progress at construction sites. The system is composed of a combination of a three-dimensional image acquisition device, an information processing device, a physical augmentation terminal, and a video display device.

[0108] The server receives 3D data collected by a 3D image acquisition device and performs comparative analysis with design information using AI technologies such as TENSORFLOW® and PyTorch. Based on the analysis results, it performs a construction evaluation and generates necessary revision proposals. These revision proposals are visually presented to workers via a video display device to prompt immediate action.

[0109] The terminal functions as a smart device worn by the worker (e.g., smart glasses), allowing them to view construction evaluations and correction instructions in real time as an extension of the physical environment. This enables workers to make immediate and accurate corrections at the construction site, contributing to improved construction quality and efficiency.

[0110] The administrator, as a user, can monitor the entire construction process based on progress reports generated from the server, and effectively plan the next work schedule through automatic updates of the schedule. This process dramatically improves the efficiency of construction site operations.

[0111] As a concrete example, consider the installation of columns at a construction site. The server uses 3D scan data to verify that the column's position and angle are as designed, and generates correction instructions as needed. Workers wearing terminals can immediately receive these instructions visually using AR technology and make adjustments on the spot. In this way, the construction process is ensured to be carried out quickly and accurately.

[0112] Example prompt: "Check if there are any discrepancies in the placement of the pillars and propose any necessary corrections."

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The terminal uses a three-dimensional image acquisition device to collect 3D data of the construction site. In this process, the terminal compresses the acquired image data and efficiently transmits it to the server. The input to this process is object data from the site, and the output is a compressed 3D data file.

[0116] Step 2:

[0117] The server decompresses the received compressed 3D data and uses AI to compare it with design information. Here, the server performs image recognition using TensorFlow or similar tools to calculate errors in the position and dimensions of objects. The input to this process is the decompressed 3D data, and the output is the construction evaluation results.

[0118] Step 3:

[0119] The server performs a construction evaluation based on the analysis results, determines the progress, and generates revised plans if necessary. The generated revised plans aim to improve the efficiency of the construction process. The input in this step is the construction evaluation results, and the output is the revised plans and a progress report.

[0120] Step 4:

[0121] The terminal visually presents the proposed revisions to the worker's smart device via video display. Here, the terminal displays information processed in a format easily understood by the worker. The input for this step is the proposed revisions, and the output is visual information utilizing AR technology.

[0122] Step 5:

[0123] The user (administrator) receives construction progress reports from the server and manages the entire construction process. Furthermore, subsequent work plans are formulated based on the progress. The input for this step is the progress report, and the output is an updated work schedule.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] This invention aims to support the mental health of workers on construction sites and create an efficient work environment by incorporating an emotion engine that recognizes user emotions into a system for managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion engine.

[0126] The terminal uses a 3D image acquisition device at the construction site to collect 3D data of the construction area in real time and transmits the collected data to a server. This data is important for recording the precise location and shape of the construction object and for establishing consistency in construction.

[0127] The server compares the received 3D data with design information and performs a construction evaluation using AI analysis functions. Based on this evaluation, if construction errors or deviations are detected, the server automatically generates specific correction proposals. Furthermore, it uses an emotion engine to evaluate the emotional state of workers and adjust the construction proposals to be more appropriate. The emotion engine analyzes the tone of the workers' voices and facial expressions, and monitors their stress and fatigue levels in real time. This ensures that workers are properly supported and improves the working environment.

[0128] The display device receives construction evaluation results and proposed revisions from the server and dynamically adjusts the displayed content according to the analysis results of the emotion engine. For example, if stress signs are detected, the terminal displays a reminder to the worker to encourage them to take a break and support safety.

[0129] Users, i.e., administrators, utilize daily reports and construction reports generated by the server to comprehensively manage the situation on site. Information on workers' mental health is also collected from the results of the emotion engine's analysis, enabling decision-making to maintain a safe and comfortable working environment.

[0130] As a concrete example, when workers are installing a large structure, a terminal tracks their progress, and a server verifies its consistency with design information. Simultaneously, an emotion engine measures the worker's stress level from their voice, and the terminal displays break instructions as needed. This ensures the health and safety of workers while maintaining the quality of work, and supports efficient site operations.

[0131] The following describes the processing flow.

[0132] Step 1:

[0133] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data is used to comprehensively capture the shape and dimensions of the object being constructed.

[0134] Step 2:

[0135] The terminal compresses the acquired 3D data and sends it to the server via the network. This improves transfer efficiency while delivering accurate on-site information to the server.

[0136] Step 3:

[0137] The server stores the received 3D data in a database for analysis and performs preprocessing to verify its consistency with the design information.

[0138] Step 4:

[0139] The server uses AI to compare 3D data with design information and conducts construction evaluations. This verifies whether the construction conforms to the design and detects any deviations or errors.

[0140] Step 5:

[0141] The server uses an emotion engine to analyze voice data and sensor data transmitted from the terminal to evaluate the worker's emotional state. This allows it to detect signs of stress and fatigue.

[0142] Step 6:

[0143] The server generates appropriate construction proposals by creating necessary revisions based on the construction evaluation and emotional state assessment results. Here, the proposals take into account the mental health of the workers.

[0144] Step 7:

[0145] The terminal receives construction evaluation results, proposed revisions, and notifications to workers from the server and displays them on the display device. It also adjusts the displayed content according to the user's emotional state.

[0146] Step 8:

[0147] The user, or administrator, checks the overall progress of the site, including construction evaluation results and the emotional state of the workers, provided from the terminal. Based on this, the administrator provides appropriate work instructions and support.

[0148] Step 9:

[0149] The server automatically generates daily reports and construction reports based on evaluation results and provides them to the user. This provides support for streamlining on-site operations in terms of both progress management and mental health management.

[0150] (Example 2)

[0151] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0152] In construction sites, there is a need to efficiently manage both construction quality and the mental health of workers, but conventional systems have made it difficult to implement both comprehensively. In particular, there is a demand for optimizing construction proposals and adjusting schedules while taking into account the emotional state of workers.

[0153] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0154] In this invention, the server includes means for collecting three-dimensional data of a structure using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means for optimizing construction proposals using an emotion engine that analyzes the emotional state of workers. This makes it possible to improve construction quality and realize an efficient work environment that takes into consideration the mental health of workers.

[0155] A "three-dimensional image acquisition device" is a device that can collect three-dimensional data of an object in real time, and uses multiple cameras and sensors to acquire accurate shape and position information.

[0156] An "information processing device" is a device that analyzes collected data and automatically performs construction evaluations, comparing it with design information to determine the accuracy and progress of the construction.

[0157] An "emotion engine" is a software component that analyzes the tone of a worker's voice and facial expressions to assess their stress and fatigue levels.

[0158] A "display device" is an output device used to present construction evaluation results and proposed revisions to workers, and it provides feedback based on the analysis results of the emotion engine.

[0159] "Means for optimizing construction proposals" refers to methods or functions for appropriately adjusting construction proposals, taking into account the emotional state of the workers, and creating a better working environment.

[0160] The "automatic schedule update function" is a function that automatically adjusts the schedule and process according to the progress of the construction process, providing the optimal work plan.

[0161] This invention is a system aimed at managing construction quality at construction sites and improving the mental health of workers. The system consists of a three-dimensional image acquisition device, an information processing device, an emotion engine, and a display device.

[0162] The terminal operates a 3D image acquisition device installed at the construction site to acquire detailed 3D data of the construction area in real time and transmit it to a server. The 3D image acquisition device incorporates multiple cameras and sensors, which allows for accurate recording of the shape and position of the structure.

[0163] The server quickly receives 3D data transmitted from terminals and performs data processing to compare it with project design information. The server incorporates an information processing device and uses AI analysis capabilities to automatically evaluate the construction status. Furthermore, the server activates an emotion engine to assess signs of stress and fatigue based on the tone of the workers' voices and facial expressions. Based on the information obtained in this way, construction proposals are optimized.

[0164] The display device is responsible for presenting the construction evaluation results and proposed revisions, analyzed by the server, to the workers on site. The displayed content reflects feedback from the emotion engine, enabling interaction tailored to the worker's emotional state. For example, if excessive stress is detected in a worker, the display device will show a notification such as "We recommend taking a break."

[0165] The administrator, as a user, continuously monitors the entire site using daily reports and construction reports generated by the server. These reports include detailed information on construction progress, quality, and the mental health status of workers, enabling the user to make decisions that promote a safe and efficient work environment.

[0166] As a concrete example, when a user inspects a construction site in progress and checks the data collected by the terminal, if the server determines that the shape of the construction area deviates from the design information by more than the acceptable range, it will immediately present a specific construction proposal to correct the deviation to the worker via a display device.

[0167] An example of a prompt message is: "I would like to design a system that monitors the stress levels of workers at a construction site in real time and optimizes the timing of their breaks. Please tell me what functions are necessary and how they work."

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] The terminal operates a 3D image acquisition device installed at the construction site, collecting 3D data of the construction area in real time. The input is visual information of the object in 3D space, and the output is 3D data in digital format. This data precisely describes the shape and position of the structure and is transmitted to the server via a communication module.

[0171] Step 2:

[0172] The server receives 3D data sent from the terminal and compares it with the project's design information. The input consists of 3D data of the structure and design information, and as data processing, an AI analysis algorithm is used to perform construction evaluation. The output generates evaluation results regarding the accuracy and progress of the construction work. If construction errors or deviations are detected, the server generates a proposed correction.

[0173] Step 3:

[0174] The server activates an emotion engine to analyze the emotional state of workers. Inputs include voice and video data of the workers, and output is an analysis of the workers' stress and fatigue levels. By utilizing voice recognition software and image analysis tools to evaluate the workers' psychological state in real time, it becomes possible to adjust construction proposals to be more appropriate.

[0175] Step 4:

[0176] The display device receives construction evaluation results and proposed revisions from the server and visually presents them to the worker. The input consists of construction evaluation and sentiment analysis results, and the display content is dynamically adjusted based on this information. The output is a series of messages and instructions provided as feedback to the worker. For example, the display device might send a notification such as, "Your stress level is high, please take a break."

[0177] Step 5:

[0178] Users utilize daily reports and construction reports generated by the server to understand the situation on site. Inputs include construction evaluation results and workers' mental health data, while outputs are specific management guidelines for ensuring safety and improving work efficiency. This allows users to optimally manage human resources and the work environment on site.

[0179] (Application Example 2)

[0180] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0181] In modern construction sites, it is necessary not only to accurately manage construction quality and progress, but also to consider the mental health of workers. However, conventional systems have difficulty assessing workers' emotions and stress levels in real time, resulting in decreased work efficiency and increased safety risks. Furthermore, there is a need for a system that can unify site progress management and worker health management.

[0182] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0183] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means incorporating an emotion recognition engine that evaluates the emotional state of workers and supports a safe and efficient work environment in real time. This ensures accuracy in construction while supporting the mental health of workers, enabling safer and more efficient site management.

[0184] A "three-dimensional image acquisition device" is a device for collecting three-dimensional data of an object, and is a device that accurately records the shape and position of an object.

[0185] An "information processing device" is a device that processes acquired data and automatically performs construction evaluations.

[0186] A "display device" is a device that visually presents processed information to the worker and suggests revisions.

[0187] An "emotion recognition engine" is software that analyzes a worker's emotional state to determine their stress and fatigue levels.

[0188] The "construction process" refers to a series of work procedures and progresses within a specific project.

[0189] A "construction schedule" is a table that summarizes the construction process in chronological order and is used to manage the progress of the project.

[0190] "Stress level" is an indicator that shows the mental burden and fatigue level of a worker, as analyzed by an emotion recognition engine.

[0191] "Daily reports and construction reports" are reports created to provide managers with information on the progress of construction and the status of the workers.

[0192] The system implementing this invention aims to improve construction quality and support the mental health of workers by integrating multiple functions for efficient work management at construction sites. The system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion recognition engine.

[0193] The server collects three-dimensional data of objects using data acquired from a three-dimensional image acquisition device, and performs construction evaluation by comparing this data with design information. This evaluation is automated using AI analysis. Using machine learning techniques, it generates revised proposals based on the output evaluation results and presents them to the workers.

[0194] The information processing system incorporates an emotion recognition engine that analyzes the worker's facial expressions and voice, measuring stress and fatigue levels in real time. Based on this, instructions for breaks and feedback are provided to ensure the worker's safety.

[0195] The display device visually presents the construction evaluation results and proposed revisions generated by the server to the workers, facilitating smooth progress tracking of the work, and also dynamically displays notifications tailored to the workers' mental health status.

[0196] For example, when installing a large structure, the server processes 3D data in real time and verifies its consistency with the design information. Simultaneously, the information processing device analyzes the worker's emotional data and displays notifications prompting them to take breaks as needed.

[0197] Example prompt: "Use your smartphone camera to photograph the worker's face and use emotion recognition AI to analyze their stress level. If the stress level exceeds a certain level, a notification prompting them to take a break will be displayed."

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The terminal activates a 3D image acquisition device and collects 3D data of objects at the construction site in real time. It acquires the current shape data of the objects as input and transfers this data to the server. The output is 3D data that can be compared with design information.

[0201] Step 2:

[0202] The server compares the received 3D data with the design information in the database. The input is the 3D data transferred from step 1, and the output is the construction evaluation result. The evaluation result is generated by verifying the data using AI analysis and detecting deviations and errors in the construction.

[0203] Step 3:

[0204] The server generates necessary revision proposals based on the construction evaluation results. The input is the construction evaluation results, and the output is the specific revision proposals. An algorithm is used to correct the difference between the design information and the actual construction data.

[0205] Step 4:

[0206] The server acquires worker voice and facial expression data in real time and analyzes it with an emotion recognition engine. The input is emotion data from cameras and microphones, and the output is the analysis result of the worker's emotional state. A generative AI model is used to determine and record stress and fatigue levels.

[0207] Step 5:

[0208] The display device dynamically shows information to the worker based on construction evaluation results, proposed revisions, and sentiment analysis results transmitted from the server. Input is data from the server, and output is visual notifications to the worker. Depending on the worker's emotional state, it displays suggestions for breaks and safety-related notifications.

[0209] Step 6:

[0210] The user manages the work process based on the displayed information. Input is information from the display device, and output is improvements to the work plan and on-site instructions. The system takes into account the mental health of the workers and adjusts schedules and provides instructions for breaks as needed.

[0211] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0212] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0213] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0214] [Second Embodiment]

[0215] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0216] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0217] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0218] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0219] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0220] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0221] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0222] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0223] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0224] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0225] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0226] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0227] This invention is a system for efficiently managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, and a display device, and each device works in cooperation to collect, analyze, and present data.

[0228] The terminal uses a 3D image acquisition device installed on-site to collect 3D data of the construction area in real time. This data accurately records the three-dimensional shape and position of the construction object. The collected data is compressed and sent to the server.

[0229] The server stores the received 3D data in a database and compares it with pre-registered design information. Here, AI is used to automatically perform a construction evaluation and determine whether the construction is progressing according to the design. The server then generates revised plans based on the construction evaluation results and points out construction errors and deviations as needed.

[0230] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The terminal's display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. This improves the quality of construction and enables early detection and correction of errors.

[0231] Users, i.e., administrators, can manage site progress and construction quality through daily reports and construction reports automatically generated by the server. These reports meticulously record daily work and progress, which can be used to plan the next work. The progress of the construction process is monitored by the server, and the schedule is automatically updated, reducing user effort and streamlining overall site operations.

[0232] As a concrete example, consider the installation status of a wall at a construction site. A terminal collects 3D scan data of the wall at the site and sends it to a server. The server analyzes this data and compares it with design information to determine if there are any discrepancies in the wall's position or dimensions. Necessary correction suggestions are communicated to the terminal's display device, allowing workers to make the necessary corrections immediately. Managers can check the progress through reports from the server and manage the overall progress. In this way, construction errors are reduced and site operations become more efficient.

[0233] The following describes the processing flow.

[0234] Step 1:

[0235] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data includes detailed information about the location and shape of the construction object.

[0236] Step 2:

[0237] The terminal compresses the acquired 3D data and sends it to the server via the network. This transmission is done in real time, so the latest status of construction progress is always reflected.

[0238] Step 3:

[0239] The server stores the received 3D data in a database and prepares it for analysis. It then formats the data for comparison with registered design information.

[0240] Step 4:

[0241] The server uses AI analysis to compare the received 3D data with the design information. This comparison evaluates whether the construction was made according to the design and whether there are any discrepancies or errors.

[0242] Step 5:

[0243] Based on the analysis results, the server generates an evaluation of the construction and specific proposed modifications if necessary. These modifications include specific procedures and necessary adjustments.

[0244] Step 6:

[0245] The terminal receives construction evaluation results and proposed revisions sent from the server and presents them to the worker. A display device is used to provide information in a visually easy-to-understand manner.

[0246] Step 7:

[0247] The user reviews the construction evaluation and proposed revisions presented through the terminal and begins correcting the work. If necessary, they adjust the work process to improve construction quality.

[0248] Step 8:

[0249] The server automatically generates daily reports and construction reports based on the daily construction evaluation results. The generated reports are distributed to the administrator, who uses them to understand the progress and plan the next work.

[0250] Step 9:

[0251] Users review daily reports and construction reports sent from the server, recording the progress and results of the construction. This supports efficient operation and quality control of the entire site.

[0252] (Example 1)

[0253] Next, we will describe Example 1. 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."

[0254] In construction sites, quality control and progress management are typically evaluated through visual inspection and manual data entry, which is inefficient and prone to subjective factors. As a result, early detection of construction errors is difficult, and improving overall construction quality is challenging.

[0255] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0256] In this invention, the server includes means for collecting three-dimensional spatial data using three-dimensional image acquisition technology, information processing technology for automatically performing a construction quality evaluation by comparing the three-dimensional data with design standards, and display technology for presenting the automatically generated construction evaluation and correction instructions to the worker. This makes it possible to efficiently perform highly accurate construction management.

[0257] "Three-dimensional image acquisition technology" is a technology that measures and records the shape of objects and spaces as three-dimensional data.

[0258] "3D data" refers to digital data that includes information about position and shape in three-dimensional space.

[0259] "Design standards" refer to pre-established design standards and specifications that should be referenced during construction.

[0260] "Construction quality evaluation" is a process of analyzing the construction status and determining the degree of conformity with design standards and the accuracy of the construction.

[0261] "Information processing technology" refers to the techniques used to analyze, compare, and evaluate collected data.

[0262] "Display technology" refers to technologies that visually present information to users to aid their understanding.

[0263] "Correction instructions" are specific instructions provided to improve construction procedures or results.

[0264] "Construction progress" is an indicator that shows the current status of work in a construction project.

[0265] "Analysis techniques" are techniques for analyzing data in detail and extracting meaningful information.

[0266] This invention is a system for efficiently managing construction quality and progress at construction sites. The system includes a device for acquiring three-dimensional images, a device for processing information, and a device for displaying information. Each device works in conjunction with the others to collect, analyze, and present data.

[0267] The terminal collects three-dimensional data of the construction site in real time using a three-dimensional image acquisition device installed on-site. Specific hardware used includes three-dimensional scanners and cameras. These devices accurately record the three-dimensional shape and position of the construction object in digital format. The collected data is format-converted and compressed within the terminal, preparing it for efficient data transfer.

[0268] The server receives 3D data sent from the terminal using a secure protocol and stores it in a database. AI technology is then used to compare it with pre-registered design standards. The specific software includes AI models and data analysis software, executing commands such as "Analyze the new construction data and evaluate the degree of conformance to the design" as prompts. Based on the evaluation results, the server determines whether the construction is progressing according to the design and generates revised plans as needed.

[0269] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. For example, AR technology is used to visually highlight areas that need correction, aiding workers in their understanding. This method improves construction quality and enables early detection and correction of errors.

[0270] As a concrete example, consider the installation of a wall at a construction site. The terminal collects 3D scan data of the wall at the site and sends it to the server. The server analyzes this data and compares it with design standards to determine if there are any discrepancies in the wall's position or dimensions. It then transmits the necessary corrections to the terminal's display device, allowing workers to respond immediately.

[0271] This system improves the overall efficiency of construction projects and reduces construction errors.

[0272] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0273] Step 1:

[0274] The terminal activates the on-site 3D image acquisition device and collects 3D data of the construction site in real time. This device uses a laser scanner and a 3D camera to acquire three-dimensional data of the space. The input is the actual construction site, and the output is the collected high-precision 3D digital data. Specifically, the terminal controls the image acquisition device, sets the scan range, and acquires the data.

[0275] Step 2:

[0276] The terminal denoises and converts the format of the collected 3D data, then uses compression technology to optimize the data. The input is raw data, and the output is compressed digital data. Specifically, the data is processed by a processor, and a compression algorithm is applied to improve transfer efficiency.

[0277] Step 3:

[0278] The terminal sends compressed 3D data to the server using a secure protocol. The input here is the compressed data held on the terminal, and the output is the same compressed data received on the server side. Specifically, the data is uploaded to the server using secure communication such as HTTPS.

[0279] Step 4:

[0280] The server stores the received 3D data in a database and performs analysis by comparing it with pre-registered design standards. The input is the received compressed 3D data, and the output is the result of the construction evaluation. The specific operation includes an analysis process using an AI model, and the AI ​​is instructed with a prompt message such as "Evaluate the degree of agreement with the design."

[0281] Step 5:

[0282] The server automatically generates an amendment based on the construction evaluation result. The input is the result of the construction evaluation, and the output is the required amendment. As specific operations, a difference analysis is performed to identify the correction locations and define countermeasures for them.

[0283] Step 6:

[0284] The terminal presents the construction evaluation and amendment sent from the server to the on-site workers. The input is the amendment from the server, and the output is the visually presented construction information. As specific operations, it includes display on the display and, in some cases, visualizing the content of the plan change using AR technology.

[0285] Step 7:

[0286] The user comprehensively manages the on-site progress and quality through the generated daily reports and construction reports. The input is the report generated by the server, and the output is the detailed management information at the site. Specific operations include progress confirmation using a dashboard and viewing reports within the system.

[0287] (Application Example 1)

[0288] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0289] The problem is to provide a system that can improve the efficiency of construction quality and progress management at the construction site, enabling workers and managers to obtain information in real time and make appropriate judgments quickly.

[0290] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0291] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device; an information processing device for automatically performing a construction evaluation by comparing the three-dimensional data with design information; a video display device for visually presenting a revised plan to the worker based on the construction evaluation; and means for the worker to check the construction information in real time using a physical extension terminal. This enables improved construction quality and early detection and correction of errors.

[0292] A "three-dimensional image acquisition device" is a device used to collect three-dimensional data of objects, and is used to acquire detailed and accurate shape data at construction sites and other locations.

[0293] "3D data" refers to information that shows the shape and position of an object in three dimensions, and is used to evaluate the accuracy and progress of construction work.

[0294] An "information processing device" is a device that automatically performs construction evaluations by comparing collected 3D data with design information, and utilizes AI technology to analyze the progress of construction.

[0295] A "video display device" is a device used to visually present construction evaluations and revised plans to workers, and is a display device that allows real-time confirmation of actual augmented information.

[0296] A "terminal for real-time extension" is a portable device that allows workers to check construction information in real time and is a device that supports immediate decision-making on-site.

[0297] This invention is a system for efficiently managing construction quality and progress at construction sites. The system is composed of a combination of a three-dimensional image acquisition device, an information processing device, a physical augmentation terminal, and a video display device.

[0298] The server receives 3D data collected by a 3D image acquisition device and performs comparative analysis with design information using AI technologies such as TensorFlow and PyTorch. Based on the analysis results, it performs a construction evaluation and generates necessary revision proposals. These revision proposals are visually presented to workers via a video display device to prompt immediate action.

[0299] The terminal functions as a smart device worn by the worker (e.g., smart glasses), allowing them to view construction evaluations and correction instructions in real time as an extension of the physical environment. This enables workers to make immediate and accurate corrections at the construction site, contributing to improved construction quality and efficiency.

[0300] The administrator, as a user, can monitor the entire construction process based on progress reports generated from the server, and effectively plan the next work schedule through automatic updates of the schedule. This process dramatically improves the efficiency of construction site operations.

[0301] As a concrete example, consider the installation of columns at a construction site. The server uses 3D scan data to verify that the column's position and angle are as designed, and generates correction instructions as needed. Workers wearing terminals can immediately receive these instructions visually using AR technology and make adjustments on the spot. In this way, the construction process is ensured to be carried out quickly and accurately.

[0302] Example prompt: "Check if there are any discrepancies in the placement of the pillars and propose any necessary corrections."

[0303] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0304] Step 1:

[0305] The terminal collects three-dimensional data of the construction site using a three-dimensional image acquisition device. In this implementation, the terminal compresses the acquired image data and efficiently transmits it to the server. The input of this process is the object data at the site, and the output is the compressed three-dimensional data file.

[0306] Step 2:

[0307] The server decompresses the received compressed three-dimensional data and compares it with the design information by utilizing AI. Here, the server performs image recognition using, for example, TensorFlow, and calculates the errors in the position and dimensions of the object. The input of this process is the decompressed three-dimensional data, and the output is the construction evaluation result.

[0308] Step 3:

[0309] Based on the analysis result, the server conducts a construction evaluation, determines the progress status, and then generates an amendment if necessary. The generated amendment aims to improve the efficiency of the construction process. The input in this step is the construction evaluation result, and the output is the amendment and the progress report.

[0310] Step 4:

[0311] The terminal visually presents the amendment to the smart device worn by the operator through video display. Here, the terminal displays the information processed in a form that is easy for the operator to understand. The input of this step is the amendment, and the output is the visual information using AR technology.

[0312] Step 5:

[0313] The administrator, who is the user, receives the construction progress report provided by the server and manages the entire construction process. Furthermore, based on the progress, the subsequent work plan is formulated. The input of this step is the progress report, and the output is the updated work process table.

[0314] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0315] This invention aims to support the mental health of workers on construction sites and create an efficient work environment by incorporating an emotion engine that recognizes user emotions into a system for managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion engine.

[0316] The terminal uses a 3D image acquisition device at the construction site to collect 3D data of the construction area in real time and transmits the collected data to a server. This data is important for recording the precise location and shape of the construction object and for establishing consistency in construction.

[0317] The server compares the received 3D data with design information and performs a construction evaluation using AI analysis functions. Based on this evaluation, if construction errors or deviations are detected, the server automatically generates specific correction proposals. Furthermore, it uses an emotion engine to evaluate the emotional state of workers and adjust the construction proposals to be more appropriate. The emotion engine analyzes the tone of the workers' voices and facial expressions, and monitors their stress and fatigue levels in real time. This ensures that workers are properly supported and improves the working environment.

[0318] The display device receives construction evaluation results and proposed revisions from the server and dynamically adjusts the displayed content according to the analysis results of the emotion engine. For example, if stress signs are detected, the terminal displays a reminder to the worker to encourage them to take a break and support safety.

[0319] Users, i.e., administrators, utilize daily reports and construction reports generated by the server to comprehensively manage the situation on site. Information on workers' mental health is also collected from the results of the emotion engine's analysis, enabling decision-making to maintain a safe and comfortable working environment.

[0320] As a concrete example, when workers are installing a large structure, a terminal tracks their progress, and a server verifies its consistency with design information. Simultaneously, an emotion engine measures the worker's stress level from their voice, and the terminal displays break instructions as needed. This ensures the health and safety of workers while maintaining the quality of work, and supports efficient site operations.

[0321] The following describes the processing flow.

[0322] Step 1:

[0323] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data is used to comprehensively capture the shape and dimensions of the object being constructed.

[0324] Step 2:

[0325] The terminal compresses the acquired 3D data and sends it to the server via the network. This improves transfer efficiency while delivering accurate on-site information to the server.

[0326] Step 3:

[0327] The server stores the received 3D data in a database for analysis and performs preprocessing to verify its consistency with the design information.

[0328] Step 4:

[0329] The server uses AI to compare 3D data with design information and conducts construction evaluations. This verifies whether the construction conforms to the design and detects any deviations or errors.

[0330] Step 5:

[0331] The server uses an emotion engine to analyze voice data and sensor data transmitted from the terminal to evaluate the worker's emotional state. This allows it to detect signs of stress and fatigue.

[0332] Step 6:

[0333] The server generates appropriate construction proposals by creating necessary revisions based on the construction evaluation and emotional state assessment results. Here, the proposals take into account the mental health of the workers.

[0334] Step 7:

[0335] The terminal receives construction evaluation results, proposed revisions, and notifications to workers from the server and displays them on the display device. It also adjusts the displayed content according to the user's emotional state.

[0336] Step 8:

[0337] The user, or administrator, checks the overall progress of the site, including construction evaluation results and the emotional state of the workers, provided from the terminal. Based on this, the administrator provides appropriate work instructions and support.

[0338] Step 9:

[0339] The server automatically generates daily reports and construction reports based on evaluation results and provides them to the user. This provides support for streamlining on-site operations in terms of both progress management and mental health management.

[0340] (Example 2)

[0341] Next, we will describe Example 2. 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".

[0342] In construction sites, there is a need to efficiently manage both construction quality and the mental health of workers, but conventional systems have made it difficult to implement both comprehensively. In particular, there is a demand for optimizing construction proposals and adjusting schedules while taking into account the emotional state of workers.

[0343] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0344] In this invention, the server includes means for collecting three-dimensional data of a structure using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means for optimizing construction proposals using an emotion engine that analyzes the emotional state of workers. This makes it possible to improve construction quality and realize an efficient work environment that takes into consideration the mental health of workers.

[0345] A "three-dimensional image acquisition device" is a device that can collect three-dimensional data of an object in real time, and uses multiple cameras and sensors to acquire accurate shape and position information.

[0346] An "information processing device" is a device that analyzes collected data and automatically performs construction evaluations, comparing it with design information to determine the accuracy and progress of the construction.

[0347] An "emotion engine" is a software component that analyzes the tone of a worker's voice and facial expressions to assess their stress and fatigue levels.

[0348] A "display device" is an output device used to present construction evaluation results and proposed revisions to workers, and it provides feedback based on the analysis results of the emotion engine.

[0349] "Means for optimizing construction proposals" refers to methods or functions for appropriately adjusting construction proposals, taking into account the emotional state of the workers, and creating a better working environment.

[0350] The "automatic schedule update function" is a function that automatically adjusts the schedule and process according to the progress of the construction process, providing the optimal work plan.

[0351] This invention is a system aimed at managing construction quality at construction sites and improving the mental health of workers. The system consists of a three-dimensional image acquisition device, an information processing device, an emotion engine, and a display device.

[0352] The terminal operates a 3D image acquisition device installed at the construction site to acquire detailed 3D data of the construction area in real time and transmit it to a server. The 3D image acquisition device incorporates multiple cameras and sensors, which allows for accurate recording of the shape and position of the structure.

[0353] The server quickly receives 3D data transmitted from terminals and performs data processing to compare it with project design information. The server incorporates an information processing device and uses AI analysis capabilities to automatically evaluate the construction status. Furthermore, the server activates an emotion engine to assess signs of stress and fatigue based on the tone of the workers' voices and facial expressions. Based on the information obtained in this way, construction proposals are optimized.

[0354] The display device is responsible for presenting the construction evaluation results and proposed revisions, analyzed by the server, to the workers on site. The displayed content reflects feedback from the emotion engine, enabling interaction tailored to the worker's emotional state. For example, if excessive stress is detected in a worker, the display device will show a notification such as "We recommend taking a break."

[0355] The administrator, as a user, continuously monitors the entire site using daily reports and construction reports generated by the server. These reports include detailed information on construction progress, quality, and the mental health status of workers, enabling the user to make decisions that promote a safe and efficient work environment.

[0356] As a concrete example, when a user inspects a construction site in progress and checks the data collected by the terminal, if the server determines that the shape of the construction area deviates from the design information by more than the acceptable range, it will immediately present a specific construction proposal to correct the deviation to the worker via a display device.

[0357] An example of a prompt message is: "I would like to design a system that monitors the stress levels of workers at a construction site in real time and optimizes the timing of their breaks. Please tell me what functions are necessary and how they work."

[0358] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0359] Step 1:

[0360] The terminal operates a 3D image acquisition device installed at the construction site, collecting 3D data of the construction area in real time. The input is visual information of the object in 3D space, and the output is 3D data in digital format. This data precisely describes the shape and position of the structure and is transmitted to the server via a communication module.

[0361] Step 2:

[0362] The server receives 3D data sent from the terminal and compares it with the project's design information. The input consists of 3D data of the structure and design information, and as data processing, an AI analysis algorithm is used to perform construction evaluation. The output generates evaluation results regarding the accuracy and progress of the construction work. If construction errors or deviations are detected, the server generates a proposed correction.

[0363] Step 3:

[0364] The server activates an emotion engine to analyze the emotional state of workers. Inputs include voice and video data of the workers, and output is an analysis of the workers' stress and fatigue levels. By utilizing voice recognition software and image analysis tools to evaluate the workers' psychological state in real time, it becomes possible to adjust construction proposals to be more appropriate.

[0365] Step 4:

[0366] The display device receives construction evaluation results and proposed revisions from the server and visually presents them to the worker. The input consists of construction evaluation and sentiment analysis results, and the display content is dynamically adjusted based on this information. The output is a series of messages and instructions provided as feedback to the worker. For example, the display device might send a notification such as, "Your stress level is high, please take a break."

[0367] Step 5:

[0368] Users utilize daily reports and construction reports generated by the server to understand the situation on site. Inputs include construction evaluation results and workers' mental health data, while outputs are specific management guidelines for ensuring safety and improving work efficiency. This allows users to optimally manage human resources and the work environment on site.

[0369] (Application Example 2)

[0370] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0371] In modern construction sites, it is necessary not only to accurately manage construction quality and progress, but also to consider the mental health of workers. However, conventional systems have difficulty assessing workers' emotions and stress levels in real time, resulting in decreased work efficiency and increased safety risks. Furthermore, there is a need for a system that can unify site progress management and worker health management.

[0372] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0373] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means incorporating an emotion recognition engine that evaluates the emotional state of workers and supports a safe and efficient work environment in real time. This ensures accuracy in construction while supporting the mental health of workers, enabling safer and more efficient site management.

[0374] A "three-dimensional image acquisition device" is a device for collecting three-dimensional data of an object, and is a device that accurately records the shape and position of an object.

[0375] An "information processing device" is a device that processes acquired data and automatically performs construction evaluations.

[0376] A "display device" is a device that visually presents processed information to the worker and suggests revisions.

[0377] An "emotion recognition engine" is software that analyzes a worker's emotional state to determine their stress and fatigue levels.

[0378] The "construction process" refers to a series of work procedures and progresses within a specific project.

[0379] A "construction schedule" is a table that summarizes the construction process in chronological order and is used to manage the progress of the project.

[0380] "Stress level" is an indicator that shows the mental burden and fatigue level of a worker, as analyzed by an emotion recognition engine.

[0381] "Daily reports and construction reports" are reports created to provide managers with information on the progress of construction and the status of the workers.

[0382] The system implementing this invention aims to improve construction quality and support the mental health of workers by integrating multiple functions for efficient work management at construction sites. The system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion recognition engine.

[0383] The server collects three-dimensional data of objects using data acquired from a three-dimensional image acquisition device, and performs construction evaluation by comparing this data with design information. This evaluation is automated using AI analysis. Using machine learning techniques, it generates revised proposals based on the output evaluation results and presents them to the workers.

[0384] The information processing system incorporates an emotion recognition engine that analyzes the worker's facial expressions and voice, measuring stress and fatigue levels in real time. Based on this, instructions for breaks and feedback are provided to ensure the worker's safety.

[0385] The display device visually presents the construction evaluation results and proposed revisions generated by the server to the workers, facilitating smooth progress tracking of the work, and also dynamically displays notifications tailored to the workers' mental health status.

[0386] For example, when installing a large structure, the server processes 3D data in real time and verifies its consistency with the design information. Simultaneously, the information processing device analyzes the worker's emotional data and displays notifications prompting them to take breaks as needed.

[0387] Example prompt: "Use your smartphone camera to photograph the worker's face and use emotion recognition AI to analyze their stress level. If the stress level exceeds a certain level, a notification prompting them to take a break will be displayed."

[0388] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0389] Step 1:

[0390] The terminal activates a 3D image acquisition device and collects 3D data of objects at the construction site in real time. It acquires the current shape data of the objects as input and transfers this data to the server. The output is 3D data that can be compared with design information.

[0391] Step 2:

[0392] The server compares the received 3D data with the design information in the database. The input is the 3D data transferred from step 1, and the output is the construction evaluation result. The evaluation result is generated by verifying the data using AI analysis and detecting deviations and errors in the construction.

[0393] Step 3:

[0394] The server generates necessary revision proposals based on the construction evaluation results. The input is the construction evaluation results, and the output is the specific revision proposals. An algorithm is used to correct the difference between the design information and the actual construction data.

[0395] Step 4:

[0396] The server acquires worker voice and facial expression data in real time and analyzes it with an emotion recognition engine. The input is emotion data from cameras and microphones, and the output is the analysis result of the worker's emotional state. A generative AI model is used to determine and record stress and fatigue levels.

[0397] Step 5:

[0398] The display device dynamically shows information to the worker based on construction evaluation results, proposed revisions, and sentiment analysis results transmitted from the server. Input is data from the server, and output is visual notifications to the worker. Depending on the worker's emotional state, it displays suggestions for breaks and safety-related notifications.

[0399] Step 6:

[0400] The user manages the work process based on the displayed information. Input is information from the display device, and output is improvements to the work plan and on-site instructions. The system takes into account the mental health of the workers and adjusts schedules and provides instructions for breaks as needed.

[0401] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0402] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0403] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0404] [Third Embodiment]

[0405] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0406] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0407] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0408] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0409] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0410] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0411] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0412] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0413] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0414] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0415] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0416] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0417] This invention is a system for efficiently managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, and a display device, and each device works in cooperation to collect, analyze, and present data.

[0418] The terminal uses a 3D image acquisition device installed on-site to collect 3D data of the construction area in real time. This data accurately records the three-dimensional shape and position of the construction object. The collected data is compressed and sent to the server.

[0419] The server stores the received 3D data in a database and compares it with pre-registered design information. Here, AI is used to automatically perform a construction evaluation and determine whether the construction is progressing according to the design. The server then generates revised plans based on the construction evaluation results and points out construction errors and deviations as needed.

[0420] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The terminal's display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. This improves the quality of construction and enables early detection and correction of errors.

[0421] Users, i.e., administrators, can manage site progress and construction quality through daily reports and construction reports automatically generated by the server. These reports meticulously record daily work and progress, which can be used to plan the next work. The progress of the construction process is monitored by the server, and the schedule is automatically updated, reducing user effort and streamlining overall site operations.

[0422] As a concrete example, consider the installation status of a wall at a construction site. A terminal collects 3D scan data of the wall at the site and sends it to a server. The server analyzes this data and compares it with design information to determine if there are any discrepancies in the wall's position or dimensions. Necessary correction suggestions are communicated to the terminal's display device, allowing workers to make the necessary corrections immediately. Managers can check the progress through reports from the server and manage the overall progress. In this way, construction errors are reduced and site operations become more efficient.

[0423] The following describes the processing flow.

[0424] Step 1:

[0425] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data includes detailed information about the location and shape of the construction object.

[0426] Step 2:

[0427] The terminal compresses the acquired 3D data and sends it to the server via the network. This transmission is done in real time, so the latest status of construction progress is always reflected.

[0428] Step 3:

[0429] The server stores the received 3D data in a database and prepares it for analysis. It then formats the data for comparison with registered design information.

[0430] Step 4:

[0431] The server uses AI analysis to compare the received 3D data with the design information. This comparison evaluates whether the construction was made according to the design and whether there are any discrepancies or errors.

[0432] Step 5:

[0433] Based on the analysis results, the server generates an evaluation of the construction and specific proposed modifications if necessary. These modifications include specific procedures and necessary adjustments.

[0434] Step 6:

[0435] The terminal receives construction evaluation results and proposed revisions sent from the server and presents them to the worker. A display device is used to provide information in a visually easy-to-understand manner.

[0436] Step 7:

[0437] The user reviews the construction evaluation and proposed revisions presented through the terminal and begins correcting the work. If necessary, they adjust the work process to improve construction quality.

[0438] Step 8:

[0439] The server automatically generates daily reports and construction reports based on the daily construction evaluation results. The generated reports are distributed to the administrator, who uses them to understand the progress and plan the next work.

[0440] Step 9:

[0441] Users review daily reports and construction reports sent from the server, recording the progress and results of the construction. This supports efficient operation and quality control of the entire site.

[0442] (Example 1)

[0443] Next, we will describe Example 1. 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."

[0444] In construction sites, quality control and progress management are typically evaluated through visual inspection and manual data entry, which is inefficient and prone to subjective factors. As a result, early detection of construction errors is difficult, and improving overall construction quality is challenging.

[0445] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0446] In this invention, the server includes means for collecting three-dimensional spatial data using three-dimensional image acquisition technology, information processing technology for automatically performing a construction quality evaluation by comparing the three-dimensional data with design standards, and display technology for presenting the automatically generated construction evaluation and correction instructions to the worker. This makes it possible to efficiently perform highly accurate construction management.

[0447] "Three-dimensional image acquisition technology" is a technology that measures and records the shape of objects and spaces as three-dimensional data.

[0448] "3D data" refers to digital data that includes information about position and shape in three-dimensional space.

[0449] "Design standards" refer to pre-established design standards and specifications that should be referenced during construction.

[0450] "Construction quality evaluation" is a process of analyzing the construction status and determining the degree of conformity with design standards and the accuracy of the construction.

[0451] "Information processing technology" refers to the techniques used to analyze, compare, and evaluate collected data.

[0452] "Display technology" refers to technologies that visually present information to users to aid their understanding.

[0453] "Correction instructions" are specific instructions provided to improve construction procedures or results.

[0454] "Construction progress" is an indicator that shows the current status of work in a construction project.

[0455] "Analysis techniques" are techniques for analyzing data in detail and extracting meaningful information.

[0456] This invention is a system for efficiently managing construction quality and progress at construction sites. The system includes a device for acquiring three-dimensional images, a device for processing information, and a device for displaying information. Each device works in conjunction with the others to collect, analyze, and present data.

[0457] The terminal collects three-dimensional data of the construction site in real time using a three-dimensional image acquisition device installed on-site. Specific hardware used includes three-dimensional scanners and cameras. These devices accurately record the three-dimensional shape and position of the construction object in digital format. The collected data is format-converted and compressed within the terminal, preparing it for efficient data transfer.

[0458] The server receives 3D data sent from the terminal using a secure protocol and stores it in a database. AI technology is then used to compare it with pre-registered design standards. The specific software includes AI models and data analysis software, executing commands such as "Analyze the new construction data and evaluate the degree of conformance to the design" as prompts. Based on the evaluation results, the server determines whether the construction is progressing according to the design and generates revised plans as needed.

[0459] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. For example, AR technology is used to visually highlight areas that need correction, aiding workers in their understanding. This method improves construction quality and enables early detection and correction of errors.

[0460] As a concrete example, consider the installation of a wall at a construction site. The terminal collects 3D scan data of the wall at the site and sends it to the server. The server analyzes this data and compares it with design standards to determine if there are any discrepancies in the wall's position or dimensions. It then transmits the necessary corrections to the terminal's display device, allowing workers to respond immediately.

[0461] This system improves the overall efficiency of construction projects and reduces construction errors.

[0462] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0463] Step 1:

[0464] The terminal activates the on-site 3D image acquisition device and collects 3D data of the construction site in real time. This device uses a laser scanner and a 3D camera to acquire three-dimensional data of the space. The input is the actual construction site, and the output is the collected high-precision 3D digital data. Specifically, the terminal controls the image acquisition device, sets the scan range, and acquires the data.

[0465] Step 2:

[0466] The terminal denoises and converts the format of the collected 3D data, then uses compression technology to optimize the data. The input is raw data, and the output is compressed digital data. Specifically, the data is processed by a processor, and a compression algorithm is applied to improve transfer efficiency.

[0467] Step 3:

[0468] The terminal sends compressed 3D data to the server using a secure protocol. The input here is the compressed data held on the terminal, and the output is the same compressed data received on the server side. Specifically, the data is uploaded to the server using secure communication such as HTTPS.

[0469] Step 4:

[0470] The server stores the received 3D data in a database and performs analysis by comparing it with pre-registered design standards. The input is the received compressed 3D data, and the output is the result of the construction evaluation. The specific operation includes an analysis process using an AI model, and the AI ​​is instructed with a prompt message such as "Evaluate the degree of agreement with the design."

[0471] Step 5:

[0472] The server automatically generates revised plans based on the construction evaluation results. The input is the construction evaluation results, and the output is the necessary revised plans. Specifically, it performs a variance analysis, identifies the areas that need correction, and defines the countermeasures.

[0473] Step 6:

[0474] The terminal displays construction evaluations and revised proposals sent from the server to the on-site workers. The input is the revised proposals from the server, and the output is construction information presented visually. Specifically, this involves displaying the information on a screen and, in some cases, using AR technology to visualize the changes in the plan.

[0475] Step 7:

[0476] Users comprehensively manage the progress and quality of the construction site through the generated daily reports and construction reports. Inputs are reports generated by the server, and outputs are detailed management information from the site. Specific actions include checking progress using a dashboard and viewing reports within the system.

[0477] (Application Example 1)

[0478] Next, we will explain Application Example 1. In the following explanation, 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."

[0479] The challenge is to provide a system that improves the efficiency of construction quality and progress management at construction sites, enabling workers and managers to obtain information in real time and make appropriate decisions quickly.

[0480] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0481] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device; an information processing device for automatically performing a construction evaluation by comparing the three-dimensional data with design information; a video display device for visually presenting a revised plan to the worker based on the construction evaluation; and means for the worker to check the construction information in real time using a physical extension terminal. This enables improved construction quality and early detection and correction of errors.

[0482] A "three-dimensional image acquisition device" is a device used to collect three-dimensional data of objects, and is used to acquire detailed and accurate shape data at construction sites and other locations.

[0483] "3D data" refers to information that shows the shape and position of an object in three dimensions, and is used to evaluate the accuracy and progress of construction work.

[0484] An "information processing device" is a device that automatically performs construction evaluations by comparing collected 3D data with design information, and utilizes AI technology to analyze the progress of construction.

[0485] A "video display device" is a device used to visually present construction evaluations and revised plans to workers, and is a display device that allows real-time confirmation of actual augmented information.

[0486] A "terminal for real-time extension" is a portable device that allows workers to check construction information in real time and is a device that supports immediate decision-making on-site.

[0487] This invention is a system for efficiently managing construction quality and progress at construction sites. The system is composed of a combination of a three-dimensional image acquisition device, an information processing device, a physical augmentation terminal, and a video display device.

[0488] The server receives 3D data collected by a 3D image acquisition device and performs comparative analysis with design information using AI technologies such as TensorFlow and PyTorch. Based on the analysis results, it performs a construction evaluation and generates necessary revision proposals. These revision proposals are visually presented to workers via a video display device to prompt immediate action.

[0489] The terminal functions as a smart device worn by the worker (e.g., smart glasses), allowing them to view construction evaluations and correction instructions in real time as an extension of the physical environment. This enables workers to make immediate and accurate corrections at the construction site, contributing to improved construction quality and efficiency.

[0490] The administrator, as a user, can monitor the entire construction process based on progress reports generated from the server, and effectively plan the next work schedule through automatic updates of the schedule. This process dramatically improves the efficiency of construction site operations.

[0491] As a concrete example, consider the installation of columns at a construction site. The server uses 3D scan data to verify that the column's position and angle are as designed, and generates correction instructions as needed. Workers wearing terminals can immediately receive these instructions visually using AR technology and make adjustments on the spot. In this way, the construction process is ensured to be carried out quickly and accurately.

[0492] Example prompt: "Check if there are any discrepancies in the placement of the pillars and propose any necessary corrections."

[0493] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0494] Step 1:

[0495] The terminal uses a three-dimensional image acquisition device to collect 3D data of the construction site. In this process, the terminal compresses the acquired image data and efficiently transmits it to the server. The input to this process is object data from the site, and the output is a compressed 3D data file.

[0496] Step 2:

[0497] The server decompresses the received compressed 3D data and uses AI to compare it with design information. Here, the server performs image recognition using TensorFlow or similar tools to calculate errors in the position and dimensions of objects. The input to this process is the decompressed 3D data, and the output is the construction evaluation results.

[0498] Step 3:

[0499] The server performs a construction evaluation based on the analysis results, determines the progress, and generates revised plans if necessary. The generated revised plans aim to improve the efficiency of the construction process. The input in this step is the construction evaluation results, and the output is the revised plans and a progress report.

[0500] Step 4:

[0501] The terminal visually presents the proposed revisions to the worker's smart device via video display. Here, the terminal displays information processed in a format easily understood by the worker. The input for this step is the proposed revisions, and the output is visual information utilizing AR technology.

[0502] Step 5:

[0503] The user (administrator) receives construction progress reports from the server and manages the entire construction process. Furthermore, subsequent work plans are formulated based on the progress. The input for this step is the progress report, and the output is an updated work schedule.

[0504] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0505] This invention aims to support the mental health of workers on construction sites and create an efficient work environment by incorporating an emotion engine that recognizes user emotions into a system for managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion engine.

[0506] The terminal uses a 3D image acquisition device at the construction site to collect 3D data of the construction area in real time and transmits the collected data to a server. This data is important for recording the precise location and shape of the construction object and for establishing consistency in construction.

[0507] The server compares the received 3D data with design information and performs a construction evaluation using AI analysis functions. Based on this evaluation, if construction errors or deviations are detected, the server automatically generates specific correction proposals. Furthermore, it uses an emotion engine to evaluate the emotional state of workers and adjust the construction proposals to be more appropriate. The emotion engine analyzes the tone of the workers' voices and facial expressions, and monitors their stress and fatigue levels in real time. This ensures that workers are properly supported and improves the working environment.

[0508] The display device receives construction evaluation results and proposed revisions from the server and dynamically adjusts the displayed content according to the analysis results of the emotion engine. For example, if stress signs are detected, the terminal displays a reminder to the worker to encourage them to take a break and support safety.

[0509] Users, i.e., administrators, utilize daily reports and construction reports generated by the server to comprehensively manage the situation on site. Information on workers' mental health is also collected from the results of the emotion engine's analysis, enabling decision-making to maintain a safe and comfortable working environment.

[0510] As a concrete example, when workers are installing a large structure, a terminal tracks their progress, and a server verifies its consistency with design information. Simultaneously, an emotion engine measures the worker's stress level from their voice, and the terminal displays break instructions as needed. This ensures the health and safety of workers while maintaining the quality of work, and supports efficient site operations.

[0511] The following describes the processing flow.

[0512] Step 1:

[0513] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data is used to comprehensively capture the shape and dimensions of the object being constructed.

[0514] Step 2:

[0515] The terminal compresses the acquired 3D data and sends it to the server via the network. This improves transfer efficiency while delivering accurate on-site information to the server.

[0516] Step 3:

[0517] The server stores the received 3D data in a database for analysis and performs preprocessing to verify its consistency with the design information.

[0518] Step 4:

[0519] The server uses AI to compare 3D data with design information and conducts construction evaluations. This verifies whether the construction conforms to the design and detects any deviations or errors.

[0520] Step 5:

[0521] The server uses an emotion engine to analyze voice data and sensor data transmitted from the terminal to evaluate the worker's emotional state. This allows it to detect signs of stress and fatigue.

[0522] Step 6:

[0523] The server generates appropriate construction proposals by creating necessary revisions based on the construction evaluation and emotional state assessment results. Here, the proposals take into account the mental health of the workers.

[0524] Step 7:

[0525] The terminal receives construction evaluation results, proposed revisions, and notifications to workers from the server and displays them on the display device. It also adjusts the displayed content according to the user's emotional state.

[0526] Step 8:

[0527] The user, or administrator, checks the overall progress of the site, including construction evaluation results and the emotional state of the workers, provided from the terminal. Based on this, the administrator provides appropriate work instructions and support.

[0528] Step 9:

[0529] The server automatically generates daily reports and construction reports based on evaluation results and provides them to the user. This provides support for streamlining on-site operations in terms of both progress management and mental health management.

[0530] (Example 2)

[0531] Next, we will describe Example 2. 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."

[0532] In construction sites, there is a need to efficiently manage both construction quality and the mental health of workers, but conventional systems have made it difficult to implement both comprehensively. In particular, there is a demand for optimizing construction proposals and adjusting schedules while taking into account the emotional state of workers.

[0533] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0534] In this invention, the server includes means for collecting three-dimensional data of a structure using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means for optimizing construction proposals using an emotion engine that analyzes the emotional state of workers. This makes it possible to improve construction quality and realize an efficient work environment that takes into consideration the mental health of workers.

[0535] A "three-dimensional image acquisition device" is a device that can collect three-dimensional data of an object in real time, and uses multiple cameras and sensors to acquire accurate shape and position information.

[0536] An "information processing device" is a device that analyzes collected data and automatically performs construction evaluations, comparing it with design information to determine the accuracy and progress of the construction.

[0537] An "emotion engine" is a software component that analyzes the tone of a worker's voice and facial expressions to assess their stress and fatigue levels.

[0538] A "display device" is an output device used to present construction evaluation results and proposed revisions to workers, and it provides feedback based on the analysis results of the emotion engine.

[0539] "Means for optimizing construction proposals" refers to methods or functions for appropriately adjusting construction proposals, taking into account the emotional state of the workers, and creating a better working environment.

[0540] The "automatic schedule update function" is a function that automatically adjusts the schedule and process according to the progress of the construction process, providing the optimal work plan.

[0541] This invention is a system aimed at managing construction quality at construction sites and improving the mental health of workers. The system consists of a three-dimensional image acquisition device, an information processing device, an emotion engine, and a display device.

[0542] The terminal operates a 3D image acquisition device installed at the construction site to acquire detailed 3D data of the construction area in real time and transmit it to a server. The 3D image acquisition device incorporates multiple cameras and sensors, which allows for accurate recording of the shape and position of the structure.

[0543] The server quickly receives 3D data transmitted from terminals and performs data processing to compare it with project design information. The server incorporates an information processing device and uses AI analysis capabilities to automatically evaluate the construction status. Furthermore, the server activates an emotion engine to assess signs of stress and fatigue based on the tone of the workers' voices and facial expressions. Based on the information obtained in this way, construction proposals are optimized.

[0544] The display device is responsible for presenting the construction evaluation results and proposed revisions, analyzed by the server, to the workers on site. The displayed content reflects feedback from the emotion engine, enabling interaction tailored to the worker's emotional state. For example, if excessive stress is detected in a worker, the display device will show a notification such as "We recommend taking a break."

[0545] The administrator, as a user, continuously monitors the entire site using daily reports and construction reports generated by the server. These reports include detailed information on construction progress, quality, and the mental health status of workers, enabling the user to make decisions that promote a safe and efficient work environment.

[0546] As a concrete example, when a user inspects a construction site in progress and checks the data collected by the terminal, if the server determines that the shape of the construction area deviates from the design information by more than the acceptable range, it will immediately present a specific construction proposal to correct the deviation to the worker via a display device.

[0547] An example of a prompt message is: "I would like to design a system that monitors the stress levels of workers at a construction site in real time and optimizes the timing of their breaks. Please tell me what functions are necessary and how they work."

[0548] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0549] Step 1:

[0550] The terminal operates a 3D image acquisition device installed at the construction site, collecting 3D data of the construction area in real time. The input is visual information of the object in 3D space, and the output is 3D data in digital format. This data precisely describes the shape and position of the structure and is transmitted to the server via a communication module.

[0551] Step 2:

[0552] The server receives 3D data sent from the terminal and compares it with the project's design information. The input consists of 3D data of the structure and design information, and as data processing, an AI analysis algorithm is used to perform construction evaluation. The output generates evaluation results regarding the accuracy and progress of the construction work. If construction errors or deviations are detected, the server generates a proposed correction.

[0553] Step 3:

[0554] The server activates an emotion engine to analyze the emotional state of workers. Inputs include voice and video data of the workers, and output is an analysis of the workers' stress and fatigue levels. By utilizing voice recognition software and image analysis tools to evaluate the workers' psychological state in real time, it becomes possible to adjust construction proposals to be more appropriate.

[0555] Step 4:

[0556] The display device receives construction evaluation results and proposed revisions from the server and visually presents them to the worker. The input consists of construction evaluation and sentiment analysis results, and the display content is dynamically adjusted based on this information. The output is a series of messages and instructions provided as feedback to the worker. For example, the display device might send a notification such as, "Your stress level is high, please take a break."

[0557] Step 5:

[0558] Users utilize daily reports and construction reports generated by the server to understand the situation on site. Inputs include construction evaluation results and workers' mental health data, while outputs are specific management guidelines for ensuring safety and improving work efficiency. This allows users to optimally manage human resources and the work environment on site.

[0559] (Application Example 2)

[0560] Next, we will explain Application Example 2. In the following explanation, 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."

[0561] In modern construction sites, it is necessary not only to accurately manage construction quality and progress, but also to consider the mental health of workers. However, conventional systems have difficulty assessing workers' emotions and stress levels in real time, resulting in decreased work efficiency and increased safety risks. Furthermore, there is a need for a system that can unify site progress management and worker health management.

[0562] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0563] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means incorporating an emotion recognition engine that evaluates the emotional state of workers and supports a safe and efficient work environment in real time. This ensures accuracy in construction while supporting the mental health of workers, enabling safer and more efficient site management.

[0564] A "three-dimensional image acquisition device" is a device for collecting three-dimensional data of an object, and is a device that accurately records the shape and position of an object.

[0565] An "information processing device" is a device that processes acquired data and automatically performs construction evaluations.

[0566] A "display device" is a device that visually presents processed information to the worker and suggests revisions.

[0567] An "emotion recognition engine" is software that analyzes a worker's emotional state to determine their stress and fatigue levels.

[0568] The "construction process" refers to a series of work procedures and progresses within a specific project.

[0569] A "construction schedule" is a table that summarizes the construction process in chronological order and is used to manage the progress of the project.

[0570] "Stress level" is an indicator that shows the mental burden and fatigue level of a worker, as analyzed by an emotion recognition engine.

[0571] "Daily reports and construction reports" are reports created to provide managers with information on the progress of construction and the status of the workers.

[0572] The system implementing this invention aims to improve construction quality and support the mental health of workers by integrating multiple functions for efficient work management at construction sites. The system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion recognition engine.

[0573] The server collects three-dimensional data of objects using data acquired from a three-dimensional image acquisition device, and performs construction evaluation by comparing this data with design information. This evaluation is automated using AI analysis. Using machine learning techniques, it generates revised proposals based on the output evaluation results and presents them to the workers.

[0574] The information processing system incorporates an emotion recognition engine that analyzes the worker's facial expressions and voice, measuring stress and fatigue levels in real time. Based on this, instructions for breaks and feedback are provided to ensure the worker's safety.

[0575] The display device visually presents the construction evaluation results and proposed revisions generated by the server to the workers, facilitating smooth progress tracking of the work, and also dynamically displays notifications tailored to the workers' mental health status.

[0576] For example, when installing a large structure, the server processes 3D data in real time and verifies its consistency with the design information. Simultaneously, the information processing device analyzes the worker's emotional data and displays notifications prompting them to take breaks as needed.

[0577] Example prompt: "Use your smartphone camera to photograph the worker's face and use emotion recognition AI to analyze their stress level. If the stress level exceeds a certain level, a notification prompting them to take a break will be displayed."

[0578] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0579] Step 1:

[0580] The terminal activates a 3D image acquisition device and collects 3D data of objects at the construction site in real time. It acquires the current shape data of the objects as input and transfers this data to the server. The output is 3D data that can be compared with design information.

[0581] Step 2:

[0582] The server compares the received 3D data with the design information in the database. The input is the 3D data transferred from step 1, and the output is the construction evaluation result. The evaluation result is generated by verifying the data using AI analysis and detecting deviations and errors in the construction.

[0583] Step 3:

[0584] The server generates necessary revision proposals based on the construction evaluation results. The input is the construction evaluation results, and the output is the specific revision proposals. An algorithm is used to correct the difference between the design information and the actual construction data.

[0585] Step 4:

[0586] The server acquires worker voice and facial expression data in real time and analyzes it with an emotion recognition engine. The input is emotion data from cameras and microphones, and the output is the analysis result of the worker's emotional state. A generative AI model is used to determine and record stress and fatigue levels.

[0587] Step 5:

[0588] The display device dynamically shows information to the worker based on construction evaluation results, proposed revisions, and sentiment analysis results transmitted from the server. Input is data from the server, and output is visual notifications to the worker. Depending on the worker's emotional state, it displays suggestions for breaks and safety-related notifications.

[0589] Step 6:

[0590] The user manages the work process based on the displayed information. Input is information from the display device, and output is improvements to the work plan and on-site instructions. The system takes into account the mental health of the workers and adjusts schedules and provides instructions for breaks as needed.

[0591] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0592] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0593] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0594] [Fourth Embodiment]

[0595] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0596] As shown in Figure 7, the 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.

[0597] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0598] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0599] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0600] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0601] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0602] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0603] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0604] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0605] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0606] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0607] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0608] This invention is a system for efficiently managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, and a display device, and each device works in cooperation to collect, analyze, and present data.

[0609] The terminal uses a 3D image acquisition device installed on-site to collect 3D data of the construction area in real time. This data accurately records the three-dimensional shape and position of the construction object. The collected data is compressed and sent to the server.

[0610] The server stores the received 3D data in a database and compares it with pre-registered design information. Here, AI is used to automatically perform a construction evaluation and determine whether the construction is progressing according to the design. The server then generates revised plans based on the construction evaluation results and points out construction errors and deviations as needed.

[0611] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The terminal's display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. This improves the quality of construction and enables early detection and correction of errors.

[0612] Users, i.e., administrators, can manage site progress and construction quality through daily reports and construction reports automatically generated by the server. These reports meticulously record daily work and progress, which can be used to plan the next work. The progress of the construction process is monitored by the server, and the schedule is automatically updated, reducing user effort and streamlining overall site operations.

[0613] As a concrete example, consider the installation status of a wall at a construction site. A terminal collects 3D scan data of the wall at the site and sends it to a server. The server analyzes this data and compares it with design information to determine if there are any discrepancies in the wall's position or dimensions. Necessary correction suggestions are communicated to the terminal's display device, allowing workers to make the necessary corrections immediately. Managers can check the progress through reports from the server and manage the overall progress. In this way, construction errors are reduced and site operations become more efficient.

[0614] The following describes the processing flow.

[0615] Step 1:

[0616] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data includes detailed information about the location and shape of the construction object.

[0617] Step 2:

[0618] The terminal compresses the acquired 3D data and sends it to the server via the network. This transmission is done in real time, so the latest status of construction progress is always reflected.

[0619] Step 3:

[0620] The server stores the received 3D data in a database and prepares it for analysis. It then formats the data for comparison with registered design information.

[0621] Step 4:

[0622] The server uses AI analysis to compare the received 3D data with the design information. This comparison evaluates whether the construction was made according to the design and whether there are any discrepancies or errors.

[0623] Step 5:

[0624] Based on the analysis results, the server generates an evaluation of the construction and specific proposed modifications if necessary. These modifications include specific procedures and necessary adjustments.

[0625] Step 6:

[0626] The terminal receives construction evaluation results and proposed revisions sent from the server and presents them to the worker. A display device is used to provide information in a visually easy-to-understand manner.

[0627] Step 7:

[0628] The user reviews the construction evaluation and proposed revisions presented through the terminal and begins correcting the work. If necessary, they adjust the work process to improve construction quality.

[0629] Step 8:

[0630] The server automatically generates daily reports and construction reports based on the daily construction evaluation results. The generated reports are distributed to the administrator, who uses them to understand the progress and plan the next work.

[0631] Step 9:

[0632] Users review daily reports and construction reports sent from the server, recording the progress and results of the construction. This supports efficient operation and quality control of the entire site.

[0633] (Example 1)

[0634] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0635] In construction sites, quality control and progress management are typically evaluated through visual inspection and manual data entry, which is inefficient and prone to subjective factors. As a result, early detection of construction errors is difficult, and improving overall construction quality is challenging.

[0636] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0637] In this invention, the server includes means for collecting three-dimensional spatial data using three-dimensional image acquisition technology, information processing technology for automatically performing a construction quality evaluation by comparing the three-dimensional data with design standards, and display technology for presenting the automatically generated construction evaluation and correction instructions to the worker. This makes it possible to efficiently perform highly accurate construction management.

[0638] "Three-dimensional image acquisition technology" is a technology that measures and records the shape of objects and spaces as three-dimensional data.

[0639] "3D data" refers to digital data that includes information about position and shape in three-dimensional space.

[0640] "Design standards" refer to pre-established design standards and specifications that should be referenced during construction.

[0641] "Construction quality evaluation" is a process of analyzing the construction status and determining the degree of conformity with design standards and the accuracy of the construction.

[0642] "Information processing technology" refers to the techniques used to analyze, compare, and evaluate collected data.

[0643] "Display technology" refers to technologies that visually present information to users to aid their understanding.

[0644] "Correction instructions" are specific instructions provided to improve construction procedures or results.

[0645] "Construction progress" is an indicator that shows the current status of work in a construction project.

[0646] "Analysis techniques" are techniques for analyzing data in detail and extracting meaningful information.

[0647] This invention is a system for efficiently managing construction quality and progress at construction sites. The system includes a device for acquiring three-dimensional images, a device for processing information, and a device for displaying information. Each device works in conjunction with the others to collect, analyze, and present data.

[0648] The terminal collects three-dimensional data of the construction site in real time using a three-dimensional image acquisition device installed on-site. Specific hardware used includes three-dimensional scanners and cameras. These devices accurately record the three-dimensional shape and position of the construction object in digital format. The collected data is format-converted and compressed within the terminal, preparing it for efficient data transfer.

[0649] The server receives 3D data sent from the terminal using a secure protocol and stores it in a database. AI technology is then used to compare it with pre-registered design standards. The specific software includes AI models and data analysis software, executing commands such as "Analyze the new construction data and evaluate the degree of conformance to the design" as prompts. Based on the evaluation results, the server determines whether the construction is progressing according to the design and generates revised plans as needed.

[0650] The generated construction evaluation and proposed corrections are presented to on-site workers via a terminal. The display shows the information in a format that is easy for workers to understand, allowing them to quickly begin necessary correction work. For example, AR technology is used to visually highlight areas that need correction, aiding workers in their understanding. This method improves construction quality and enables early detection and correction of errors.

[0651] As a concrete example, consider the installation of a wall at a construction site. The terminal collects 3D scan data of the wall at the site and sends it to the server. The server analyzes this data and compares it with design standards to determine if there are any discrepancies in the wall's position or dimensions. It then transmits the necessary corrections to the terminal's display device, allowing workers to respond immediately.

[0652] This system improves the overall efficiency of construction projects and reduces construction errors.

[0653] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0654] Step 1:

[0655] The terminal activates the on-site 3D image acquisition device and collects 3D data of the construction site in real time. This device uses a laser scanner and a 3D camera to acquire three-dimensional data of the space. The input is the actual construction site, and the output is the collected high-precision 3D digital data. Specifically, the terminal controls the image acquisition device, sets the scan range, and acquires the data.

[0656] Step 2:

[0657] The terminal denoises and converts the format of the collected 3D data, then uses compression technology to optimize the data. The input is raw data, and the output is compressed digital data. Specifically, the data is processed by a processor, and a compression algorithm is applied to improve transfer efficiency.

[0658] Step 3:

[0659] The terminal sends compressed 3D data to the server using a secure protocol. The input here is the compressed data held on the terminal, and the output is the same compressed data received on the server side. Specifically, the data is uploaded to the server using secure communication such as HTTPS.

[0660] Step 4:

[0661] The server stores the received 3D data in a database and performs analysis by comparing it with pre-registered design standards. The input is the received compressed 3D data, and the output is the result of the construction evaluation. The specific operation includes an analysis process using an AI model, and the AI ​​is instructed with a prompt message such as "Evaluate the degree of agreement with the design."

[0662] Step 5:

[0663] The server automatically generates revised plans based on the construction evaluation results. The input is the construction evaluation results, and the output is the necessary revised plans. Specifically, it performs a variance analysis, identifies the areas that need correction, and defines the countermeasures.

[0664] Step 6:

[0665] The terminal displays construction evaluations and revised proposals sent from the server to the on-site workers. The input is the revised proposals from the server, and the output is construction information presented visually. Specifically, this involves displaying the information on a screen and, in some cases, using AR technology to visualize the changes in the plan.

[0666] Step 7:

[0667] Users comprehensively manage the progress and quality of the construction site through the generated daily reports and construction reports. Inputs are reports generated by the server, and outputs are detailed management information from the site. Specific actions include checking progress using a dashboard and viewing reports within the system.

[0668] (Application Example 1)

[0669] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0670] The challenge is to provide a system that improves the efficiency of construction quality and progress management at construction sites, enabling workers and managers to obtain information in real time and make appropriate decisions quickly.

[0671] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0672] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device; an information processing device for automatically performing a construction evaluation by comparing the three-dimensional data with design information; a video display device for visually presenting a revised plan to the worker based on the construction evaluation; and means for the worker to check the construction information in real time using a physical extension terminal. This enables improved construction quality and early detection and correction of errors.

[0673] A "three-dimensional image acquisition device" is a device used to collect three-dimensional data of objects, and is used to acquire detailed and accurate shape data at construction sites and other locations.

[0674] "3D data" refers to information that shows the shape and position of an object in three dimensions, and is used to evaluate the accuracy and progress of construction work.

[0675] An "information processing device" is a device that automatically performs construction evaluations by comparing collected 3D data with design information, and utilizes AI technology to analyze the progress of construction.

[0676] A "video display device" is a device used to visually present construction evaluations and revised plans to workers, and is a display device that allows real-time confirmation of actual augmented information.

[0677] A "terminal for real-time extension" is a portable device that allows workers to check construction information in real time and is a device that supports immediate decision-making on-site.

[0678] This invention is a system for efficiently managing construction quality and progress at construction sites. The system is composed of a combination of a three-dimensional image acquisition device, an information processing device, a physical augmentation terminal, and a video display device.

[0679] The server receives 3D data collected by a 3D image acquisition device and performs comparative analysis with design information using AI technologies such as TensorFlow and PyTorch. Based on the analysis results, it performs a construction evaluation and generates necessary revision proposals. These revision proposals are visually presented to workers via a video display device to prompt immediate action.

[0680] The terminal functions as a smart device worn by the worker (e.g., smart glasses), allowing them to view construction evaluations and correction instructions in real time as an extension of the physical environment. This enables workers to make immediate and accurate corrections at the construction site, contributing to improved construction quality and efficiency.

[0681] The administrator, as a user, can monitor the entire construction process based on progress reports generated from the server, and effectively plan the next work schedule through automatic updates of the schedule. This process dramatically improves the efficiency of construction site operations.

[0682] As a concrete example, consider the installation of columns at a construction site. The server uses 3D scan data to verify that the column's position and angle are as designed, and generates correction instructions as needed. Workers wearing terminals can immediately receive these instructions visually using AR technology and make adjustments on the spot. In this way, the construction process is ensured to be carried out quickly and accurately.

[0683] Example prompt: "Check if there are any discrepancies in the placement of the pillars and propose any necessary corrections."

[0684] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0685] Step 1:

[0686] The terminal uses a three-dimensional image acquisition device to collect 3D data of the construction site. In this process, the terminal compresses the acquired image data and efficiently transmits it to the server. The input to this process is object data from the site, and the output is a compressed 3D data file.

[0687] Step 2:

[0688] The server decompresses the received compressed 3D data and uses AI to compare it with design information. Here, the server performs image recognition using TensorFlow or similar tools to calculate errors in the position and dimensions of objects. The input to this process is the decompressed 3D data, and the output is the construction evaluation results.

[0689] Step 3:

[0690] The server performs a construction evaluation based on the analysis results, determines the progress, and generates revised plans if necessary. The generated revised plans aim to improve the efficiency of the construction process. The input in this step is the construction evaluation results, and the output is the revised plans and a progress report.

[0691] Step 4:

[0692] The terminal visually presents the proposed revisions to the worker's smart device via video display. Here, the terminal displays information processed in a format easily understood by the worker. The input for this step is the proposed revisions, and the output is visual information utilizing AR technology.

[0693] Step 5:

[0694] The user (administrator) receives construction progress reports from the server and manages the entire construction process. Furthermore, subsequent work plans are formulated based on the progress. The input for this step is the progress report, and the output is an updated work schedule.

[0695] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0696] This invention aims to support the mental health of workers on construction sites and create an efficient work environment by incorporating an emotion engine that recognizes user emotions into a system for managing construction quality and progress at construction sites. This system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion engine.

[0697] The terminal uses a 3D image acquisition device at the construction site to collect 3D data of the construction area in real time and transmits the collected data to a server. This data is important for recording the precise location and shape of the construction object and for establishing consistency in construction.

[0698] The server compares the received 3D data with design information and performs a construction evaluation using AI analysis functions. Based on this evaluation, if construction errors or deviations are detected, the server automatically generates specific correction proposals. Furthermore, it uses an emotion engine to evaluate the emotional state of workers and adjust the construction proposals to be more appropriate. The emotion engine analyzes the tone of the workers' voices and facial expressions, and monitors their stress and fatigue levels in real time. This ensures that workers are properly supported and improves the working environment.

[0699] The display device receives construction evaluation results and proposed revisions from the server and dynamically adjusts the displayed content according to the analysis results of the emotion engine. For example, if stress signs are detected, the terminal displays a reminder to the worker to encourage them to take a break and support safety.

[0700] Users, i.e., administrators, utilize daily reports and construction reports generated by the server to comprehensively manage the situation on site. Information on workers' mental health is also collected from the results of the emotion engine's analysis, enabling decision-making to maintain a safe and comfortable working environment.

[0701] As a concrete example, when workers are installing a large structure, a terminal tracks their progress, and a server verifies its consistency with design information. Simultaneously, an emotion engine measures the worker's stress level from their voice, and the terminal displays break instructions as needed. This ensures the health and safety of workers while maintaining the quality of work, and supports efficient site operations.

[0702] The following describes the processing flow.

[0703] Step 1:

[0704] The terminal uses a 3D image acquisition device at the construction site to acquire 3D data of the construction area. This data is used to comprehensively capture the shape and dimensions of the object being constructed.

[0705] Step 2:

[0706] The terminal compresses the acquired 3D data and sends it to the server via the network. This improves transfer efficiency while delivering accurate on-site information to the server.

[0707] Step 3:

[0708] The server stores the received 3D data in a database for analysis and performs preprocessing to verify its consistency with the design information.

[0709] Step 4:

[0710] The server uses AI to compare 3D data with design information and conducts construction evaluations. This verifies whether the construction conforms to the design and detects any deviations or errors.

[0711] Step 5:

[0712] The server uses an emotion engine to analyze voice data and sensor data transmitted from the terminal to evaluate the worker's emotional state. This allows it to detect signs of stress and fatigue.

[0713] Step 6:

[0714] The server generates appropriate construction proposals by creating necessary revisions based on the construction evaluation and emotional state assessment results. Here, the proposals take into account the mental health of the workers.

[0715] Step 7:

[0716] The terminal receives construction evaluation results, proposed revisions, and notifications to workers from the server and displays them on the display device. It also adjusts the displayed content according to the user's emotional state.

[0717] Step 8:

[0718] The user, or administrator, checks the overall progress of the site, including construction evaluation results and the emotional state of the workers, provided from the terminal. Based on this, the administrator provides appropriate work instructions and support.

[0719] Step 9:

[0720] The server automatically generates daily reports and construction reports based on evaluation results and provides them to the user. This provides support for streamlining on-site operations in terms of both progress management and mental health management.

[0721] (Example 2)

[0722] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0723] In construction sites, there is a need to efficiently manage both construction quality and the mental health of workers, but conventional systems have made it difficult to implement both comprehensively. In particular, there is a demand for optimizing construction proposals and adjusting schedules while taking into account the emotional state of workers.

[0724] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0725] In this invention, the server includes means for collecting three-dimensional data of a structure using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means for optimizing construction proposals using an emotion engine that analyzes the emotional state of workers. This makes it possible to improve construction quality and realize an efficient work environment that takes into consideration the mental health of workers.

[0726] A "three-dimensional image acquisition device" is a device that can collect three-dimensional data of an object in real time, and uses multiple cameras and sensors to acquire accurate shape and position information.

[0727] An "information processing device" is a device that analyzes collected data and automatically performs construction evaluations, comparing it with design information to determine the accuracy and progress of the construction.

[0728] An "emotion engine" is a software component that analyzes the tone of a worker's voice and facial expressions to assess their stress and fatigue levels.

[0729] A "display device" is an output device used to present construction evaluation results and proposed revisions to workers, and it provides feedback based on the analysis results of the emotion engine.

[0730] "Means for optimizing construction proposals" refers to methods or functions for appropriately adjusting construction proposals, taking into account the emotional state of the workers, and creating a better working environment.

[0731] The "automatic schedule update function" is a function that automatically adjusts the schedule and process according to the progress of the construction process, providing the optimal work plan.

[0732] This invention is a system aimed at managing construction quality at construction sites and improving the mental health of workers. The system consists of a three-dimensional image acquisition device, an information processing device, an emotion engine, and a display device.

[0733] The terminal operates a 3D image acquisition device installed at the construction site to acquire detailed 3D data of the construction area in real time and transmit it to a server. The 3D image acquisition device incorporates multiple cameras and sensors, which allows for accurate recording of the shape and position of the structure.

[0734] The server quickly receives 3D data transmitted from terminals and performs data processing to compare it with project design information. The server incorporates an information processing device and uses AI analysis capabilities to automatically evaluate the construction status. Furthermore, the server activates an emotion engine to assess signs of stress and fatigue based on the tone of the workers' voices and facial expressions. Based on the information obtained in this way, construction proposals are optimized.

[0735] The display device is responsible for presenting the construction evaluation results and proposed revisions, analyzed by the server, to the workers on site. The displayed content reflects feedback from the emotion engine, enabling interaction tailored to the worker's emotional state. For example, if excessive stress is detected in a worker, the display device will show a notification such as "We recommend taking a break."

[0736] The administrator, as a user, continuously monitors the entire site using daily reports and construction reports generated by the server. These reports include detailed information on construction progress, quality, and the mental health status of workers, enabling the user to make decisions that promote a safe and efficient work environment.

[0737] As a concrete example, when a user inspects a construction site in progress and checks the data collected by the terminal, if the server determines that the shape of the construction area deviates from the design information by more than the acceptable range, it will immediately present a specific construction proposal to correct the deviation to the worker via a display device.

[0738] An example of a prompt message is: "I would like to design a system that monitors the stress levels of workers at a construction site in real time and optimizes the timing of their breaks. Please tell me what functions are necessary and how they work."

[0739] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0740] Step 1:

[0741] The terminal operates a 3D image acquisition device installed at the construction site, collecting 3D data of the construction area in real time. The input is visual information of the object in 3D space, and the output is 3D data in digital format. This data precisely describes the shape and position of the structure and is transmitted to the server via a communication module.

[0742] Step 2:

[0743] The server receives 3D data sent from the terminal and compares it with the project's design information. The input consists of 3D data of the structure and design information, and as data processing, an AI analysis algorithm is used to perform construction evaluation. The output generates evaluation results regarding the accuracy and progress of the construction work. If construction errors or deviations are detected, the server generates a proposed correction.

[0744] Step 3:

[0745] The server activates an emotion engine to analyze the emotional state of workers. Inputs include voice and video data of the workers, and output is an analysis of the workers' stress and fatigue levels. By utilizing voice recognition software and image analysis tools to evaluate the workers' psychological state in real time, it becomes possible to adjust construction proposals to be more appropriate.

[0746] Step 4:

[0747] The display device receives construction evaluation results and proposed revisions from the server and visually presents them to the worker. The input consists of construction evaluation and sentiment analysis results, and the display content is dynamically adjusted based on this information. The output is a series of messages and instructions provided as feedback to the worker. For example, the display device might send a notification such as, "Your stress level is high, please take a break."

[0748] Step 5:

[0749] Users utilize daily reports and construction reports generated by the server to understand the situation on site. Inputs include construction evaluation results and workers' mental health data, while outputs are specific management guidelines for ensuring safety and improving work efficiency. This allows users to optimally manage human resources and the work environment on site.

[0750] (Application Example 2)

[0751] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0752] In modern construction sites, it is necessary not only to accurately manage construction quality and progress, but also to consider the mental health of workers. However, conventional systems have difficulty assessing workers' emotions and stress levels in real time, resulting in decreased work efficiency and increased safety risks. Furthermore, there is a need for a system that can unify site progress management and worker health management.

[0753] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0754] In this invention, the server includes means for collecting three-dimensional data of an object using a three-dimensional image acquisition device, means for automatically performing construction evaluation by comparing the three-dimensional data with design information, and means incorporating an emotion recognition engine that evaluates the emotional state of workers and supports a safe and efficient work environment in real time. This ensures accuracy in construction while supporting the mental health of workers, enabling safer and more efficient site management.

[0755] A "three-dimensional image acquisition device" is a device for collecting three-dimensional data of an object, and is a device that accurately records the shape and position of an object.

[0756] An "information processing device" is a device that processes acquired data and automatically performs construction evaluations.

[0757] A "display device" is a device that visually presents processed information to the worker and suggests revisions.

[0758] An "emotion recognition engine" is software that analyzes a worker's emotional state to determine their stress and fatigue levels.

[0759] The "construction process" refers to a series of work procedures and progresses within a specific project.

[0760] A "construction schedule" is a table that summarizes the construction process in chronological order and is used to manage the progress of the project.

[0761] "Stress level" is an indicator that shows the mental burden and fatigue level of a worker, as analyzed by an emotion recognition engine.

[0762] "Daily reports and construction reports" are reports created to provide managers with information on the progress of construction and the status of the workers.

[0763] The system implementing this invention aims to improve construction quality and support the mental health of workers by integrating multiple functions for efficient work management at construction sites. The system includes a three-dimensional image acquisition device, an information processing device, a display device, and an emotion recognition engine.

[0764] The server collects three-dimensional data of objects using data acquired from a three-dimensional image acquisition device, and performs construction evaluation by comparing this data with design information. This evaluation is automated using AI analysis. Using machine learning techniques, it generates revised proposals based on the output evaluation results and presents them to the workers.

[0765] The information processing system incorporates an emotion recognition engine that analyzes the worker's facial expressions and voice, measuring stress and fatigue levels in real time. Based on this, instructions for breaks and feedback are provided to ensure the worker's safety.

[0766] The display device visually presents the construction evaluation results and proposed revisions generated by the server to the workers, facilitating smooth progress tracking of the work, and also dynamically displays notifications tailored to the workers' mental health status.

[0767] For example, when installing a large structure, the server processes 3D data in real time and verifies its consistency with the design information. Simultaneously, the information processing device analyzes the worker's emotional data and displays notifications prompting them to take breaks as needed.

[0768] Example prompt: "Use your smartphone camera to photograph the worker's face and use emotion recognition AI to analyze their stress level. If the stress level exceeds a certain level, a notification prompting them to take a break will be displayed."

[0769] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0770] Step 1:

[0771] The terminal activates a 3D image acquisition device and collects 3D data of objects at the construction site in real time. It acquires the current shape data of the objects as input and transfers this data to the server. The output is 3D data that can be compared with design information.

[0772] Step 2:

[0773] The server compares the received 3D data with the design information in the database. The input is the 3D data transferred from step 1, and the output is the construction evaluation result. The evaluation result is generated by verifying the data using AI analysis and detecting deviations and errors in the construction.

[0774] Step 3:

[0775] The server generates necessary revision proposals based on the construction evaluation results. The input is the construction evaluation results, and the output is the specific revision proposals. An algorithm is used to correct the difference between the design information and the actual construction data.

[0776] Step 4:

[0777] The server acquires worker voice and facial expression data in real time and analyzes it with an emotion recognition engine. The input is emotion data from cameras and microphones, and the output is the analysis result of the worker's emotional state. A generative AI model is used to determine and record stress and fatigue levels.

[0778] Step 5:

[0779] The display device dynamically shows information to the worker based on construction evaluation results, proposed revisions, and sentiment analysis results transmitted from the server. Input is data from the server, and output is visual notifications to the worker. Depending on the worker's emotional state, it displays suggestions for breaks and safety-related notifications.

[0780] Step 6:

[0781] The user manages the work process based on the displayed information. Input is information from the display device, and output is improvements to the work plan and on-site instructions. The system takes into account the mental health of the workers and adjusts schedules and provides instructions for breaks as needed.

[0782] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0783] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0784] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0785] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0786] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0787] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0788] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0789] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0790] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0791] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0792] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0793] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0794] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0795] 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.

[0796] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0797] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0798] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0799] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0800] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0801] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0802] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0803] The following is further disclosed regarding the embodiments described above.

[0804] (Claim 1)

[0805] A means for collecting three-dimensional data of an object using a three-dimensional image acquisition device,

[0806] An information processing device that automatically performs construction evaluation by comparing the aforementioned three-dimensional data with design information,

[0807] A display device that presents a revised plan to the worker based on the aforementioned construction evaluation,

[0808] A system that includes this.

[0809] (Claim 2)

[0810] The system according to claim 1, wherein the information processing device has a function to measure the progress of the construction process and to automatically update the schedule.

[0811] (Claim 3)

[0812] The system according to claim 1, wherein the display device has a function to automatically generate daily reports and construction reports based on construction evaluation results and provide them to the administrator.

[0813] "Example 1"

[0814] (Claim 1)

[0815] A means of collecting three-dimensional spatial data using three-dimensional image acquisition technology,

[0816] Information processing technology that automatically performs construction quality evaluation by comparing the aforementioned 3D data with design standards,

[0817] Display technology that presents automatically generated construction evaluations and correction instructions to workers,

[0818] A means of analyzing accumulated data and recording and managing construction progress,

[0819] This analytical technology automatically analyzes the progress of construction and, based on the results, proposes corrective measures to detect construction errors early.

[0820] A system that includes this.

[0821] (Claim 2)

[0822] The system according to claim 1, comprising technology for measuring the progress of the construction process and dynamically updating the work plan.

[0823] (Claim 3)

[0824] The system according to claim 1, comprising a function to automatically generate daily activity details and progress reports based on construction evaluations and provide them to the administrator.

[0825] "Application Example 1"

[0826] (Claim 1)

[0827] A means for collecting three-dimensional data of an object using a three-dimensional image acquisition device,

[0828] An information processing device that automatically performs construction evaluation by comparing the aforementioned 3D data with design information,

[0829] A video display device that visually presents the proposed revisions to the worker based on the aforementioned construction evaluation,

[0830] A means for workers to check construction information in real time using a device for physical augmentation,

[0831] A system that includes this.

[0832] (Claim 2)

[0833] The system according to claim 1, wherein the information processing device has a function to evaluate the progress of the construction process and to automatically change the work schedule.

[0834] (Claim 3)

[0835] The system according to claim 1, wherein the video display device has a function to automatically generate a work report and a construction analysis based on the construction evaluation results and present them to the manager.

[0836] "Example 2 of combining an emotion engine"

[0837] (Claim 1)

[0838] A means for collecting three-dimensional data of a structure using a three-dimensional image acquisition device,

[0839] An information processing device that automatically performs construction evaluation by comparing the aforementioned three-dimensional data with design information,

[0840] The aforementioned information processing device includes means for optimizing construction proposals using an emotion engine that analyzes the emotional state of workers,

[0841] A display device that presents revised plans to the worker based on the construction evaluation and the analysis results of the emotion engine,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, wherein the information processing device has a function to measure the progress of the construction process, automatically update the schedule, and adjust the schedule based on the emotional state of the workers.

[0845] (Claim 3)

[0846] The system according to claim 1, wherein the display device has a function to automatically generate daily reports and construction reports based on construction evaluation results and worker mental health data from an emotion engine, and provide them to the administrator.

[0847] "Application example 2 of combining emotional engines"

[0848] (Claim 1)

[0849] A means for collecting three-dimensional data of an object using a three-dimensional image acquisition device,

[0850] An information processing device that automatically performs construction evaluation by comparing the aforementioned three-dimensional data with design information,

[0851] A display device that presents a revised plan to the worker based on the aforementioned construction evaluation,

[0852] An information processing device incorporating an emotion recognition engine that evaluates the emotional state of workers and supports a safe and efficient work environment in real time,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, wherein the information processing device has a function to measure the progress of the construction process and to automatically update the schedule, and a function to measure the stress and fatigue levels of workers and to send appropriate notifications.

[0856] (Claim 3)

[0857] The system according to claim 1, wherein the display device has a function to automatically generate daily reports and construction reports based on construction evaluation results and provide them to the administrator, and also has a function to suggest breaks and safety measures based on the emotional state of the workers. [Explanation of Symbols]

[0858] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for collecting three-dimensional data of an object using a three-dimensional image acquisition device, An information processing device that automatically performs construction evaluation by comparing the aforementioned three-dimensional data with design information, A display device that presents a revised plan to the worker based on the aforementioned construction evaluation, A system that includes this.

2. The system according to claim 1, wherein the information processing device has a function to measure the progress of the construction process and to automatically update the schedule.

3. The system according to claim 1, wherein the display device has a function to automatically generate daily reports and construction reports based on construction evaluation results and provide them to the administrator.

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