system

Abstract

We provide the system. [Solution] A terminal means for inputting usage conditions and price, A server means that receives the usage conditions and price entered from the terminal means and stores them in a database. A server means that receives a calculation request from the terminal means, retrieves the corresponding data from the database, and performs cost calculation, A system including a server means that returns the calculation result to the terminal means.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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] In the conventional method for confirming the cost of a wireless device, it is necessary to grasp in detail the usage conditions and prices of each component, and different countermeasures are required each time, so it has been difficult to toolize. In addition, since it is impossible to respond without understanding the detailed specifications of the wireless device, it is difficult to increase the number of responders, and there is a problem in the efficiency of the work.

Means for Solving the Problems

[0005] The present invention solves the aforementioned problems by providing a system that includes terminal means for inputting usage conditions and prices, server means for receiving the usage conditions and prices input from the terminal means and storing them in a database, server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations, and server means for returning the calculation results to the terminal means.

[0006] In this invention, the terminal means inputs data using a spreadsheet and generates a calculation request. The server means updates existing data or adds new data when it receives usage conditions and price. This allows users to easily input and manage data, and enables end users to easily perform cost calculations. Therefore, this invention streamlines the detailed cost verification method for wireless devices and enables an increase in the number of people who can handle it.

[0007] "Usage conditions" refer to the conditions that define the environment and circumstances under which the components and parts of a radio device will be used.

[0008] "Price" refers to the amount of money spent when manufacturing or purchasing the components and parts of a radio.

[0009] A "terminal device" refers to a device used by the user to input specifications and price information for wireless devices and to send and receive necessary data. Specifically, it refers to electronic devices such as PCs and tablets.

[0010] A "server system" is a system that receives and stores input data from terminal systems, searches for data in a database in response to calculation requests, performs cost calculations, and returns the results to the terminal systems.

[0011] A "database" is a storage system that systematically stores and manages information such as the usage conditions and prices of wireless devices, and allows access to it as needed.

[0012] A "calculation request" is a request from a terminal device to a server device to perform a cost calculation for the components of a wireless device.

[0013] "Calculation result" refers to the result of the cost calculation performed by the server based on the calculation request. [Brief explanation of the drawing]

[0014] [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] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This 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 Embodiment 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.

Embodiment for Implementing the Invention

[0015] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, the 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 CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc.

[0018] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disk (e.g., hard disk), or magnetic tape, etc.

[0020] 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).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] The present invention is a system for efficiently verifying the cost of wireless devices, and includes the following elements: a terminal means for inputting usage conditions and price; a server means for receiving the usage conditions and price input from the terminal means and storing them in a database; a server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations; and a server means for returning the calculation results to the terminal means. Specifically, this system operates as follows.

[0036] Terminal function

[0037] Users input usage conditions and prices for each component of the wireless device using a terminal device (e.g., a PC or tablet). The terminal device transmits the entered data to the server device. Users can intuitively manage and input data using spreadsheets (e.g., Excel or Google Sheets).

[0038] Server functionality

[0039] The server is responsible for storing the usage conditions and prices received from the terminal in a database. When new data is entered, the server either updates the existing data or adds it as new data. This ensures data consistency and up-to-dateness.

[0040] When a user submits a calculation request, the server receives it and retrieves the corresponding data from the database. The server performs cost calculations based on the stored data. Once the calculation results are generated, the server sends them back to the terminal.

[0041] Specific example

[0042] The following are some specific examples.

[0043] 1. Users enter data using terminal devices.

[0044] The user enters the usage conditions for the antenna part, "waterproof and shockproof," and the price, "1000 yen," via their terminal.

[0045] 2. The terminal device sends data to the server.

[0046] The terminal device transmits this data to the server device.

[0047] 3. The server saves the data.

[0048] The server method stores "antenna, waterproof, shockproof, 1000 yen" in its database.

[0049] 4. The user creates a calculation request in a spreadsheet.

[0050] The user uses a spreadsheet to generate calculation requests and send them to the server.

[0051] 5. The server receives and processes the calculation request.

[0052] The server receives a calculation request, searches the database for the corresponding data "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[0053] 6. The server generates and returns the calculation results.

[0054] The server generates the calculation result (for example, a total cost of 1000 yen) and sends it back to the terminal.

[0055] 7. The terminal device displays the calculation result.

[0056] The terminal device displays the received calculation results in a spreadsheet, which the user then reviews.

[0057] In this way, this system streamlines the verification of specific specifications and data entry for wireless devices, allowing users to easily check costs. Furthermore, the central role of the server enables integrated data management and automated calculations. This significantly improves ease of operation and efficiency.

[0058] The following describes the processing flow.

[0059] Step 1:

[0060] The user inputs the usage conditions and price of each component of the wireless device using a terminal. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen".

[0061] Step 2:

[0062] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[0063] Step 3:

[0064] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server then stores this data in a database.

[0065] Step 4:

[0066] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into a specific cell in the spreadsheet.

[0067] Step 5:

[0068] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[0069] Step 6:

[0070] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[0071] Step 7:

[0072] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[0073] Step 8:

[0074] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions.

[0075] Step 9:

[0076] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[0077] Step 10:

[0078] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method.

[0079] Step 11:

[0080] The terminal device displays the calculation results it receives in a spreadsheet. The user reviews the calculation results in the spreadsheet and makes necessary decisions based on them.

[0081] (Example 1)

[0082] 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."

[0083] Conventional cost management systems for wireless equipment suffered from inefficiency due to the cumbersome process of inputting usage conditions and prices for each component, requiring users to manually organize and calculate data. Furthermore, maintaining data consistency was difficult, and accurate cost calculations based on the latest data were required. Additionally, a system capable of quickly displaying calculation results was needed.

[0084] 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.

[0085] In this invention, the server includes an information terminal means for inputting usage conditions and prices; a computer means for receiving the usage conditions and prices input from the information terminal means and storing them in a database; a computer means for receiving a calculation request from the information terminal means, searching for the corresponding data in the database, and performing a cost calculation; and a computer means for returning the calculation results to the information terminal means. This makes it possible for users to easily check the cost of wireless devices while maintaining data consistency and up-to-dateness.

[0086] "Operating conditions" refer to specific performance and environmental requirements that each component of a radio device must meet.

[0087] "Price" refers to the monetary value assigned to each component of a radio.

[0088] An "information terminal device" is a device used by a user to input usage conditions and prices and transmit them to a server; this includes PCs and tablets.

[0089] "Computing means" refers to a device that includes a system or program for storing received data in a database, processing calculation requests, and performing cost calculations.

[0090] A "database" is a structured collection of information used by computing devices to efficiently store and manage data such as usage conditions and prices.

[0091] A "calculation request" is a request sent from an information terminal to a server to perform cost calculations based on specific data.

[0092] "Cost calculation" is the process of calculating the total cost of a radio based on usage conditions and price data.

[0093] "Calculation result" refers to the final output of the cost calculation performed based on the calculation request.

[0094] This invention relates to a system for efficiently verifying the cost of wireless equipment, and includes an information terminal for inputting usage conditions and prices, and a server that receives this information, stores it in a database, and processes calculation requests. This system is designed to allow users to intuitively input usage conditions and prices and to quickly perform cost calculations based on that information.

[0095] Device functions

[0096] Users input usage conditions and prices for each component of the wireless equipment using information terminals such as PCs and tablets. Specifically, they input and manage data using spreadsheet software such as Excel or Google Sheets. By inputting data into a spreadsheet, users can intuitively manipulate the data. The entered data is converted into a data format such as JSON and sent to the server using the HTTP or HTTPS protocol.

[0097] Server Functions

[0098] The server receives usage conditions and price data transmitted from the information terminal and stores it in the database. During this process, data validation is performed to confirm the correctness of the data format. Relational databases such as MySQL® or PostgreSQL are commonly used as the storage database. When new data is transmitted, the server either updates the existing data or adds it as new data.

[0099] When a user sends a calculation request from their information terminal, the server receives it and searches the database for the corresponding data. The server then performs cost calculations based on the retrieved data. Programming languages ​​such as Python and Node.js are used for the calculation process. Once the calculation results are generated, the server converts them into JSON format and sends them back to the information terminal.

[0100] Specific example

[0101] Next, I will show some specific examples of its use.

[0102] 1. The user enters data on the terminal.

[0103] The user uses a PC to enter the price of a waterproof and shockproof antenna, "1000 yen," into a spreadsheet.

[0104] 2. The device sends data to the server.

[0105] The device reads data from the spreadsheet, converts it to JSON format, and sends it to the server using an HTTP POST request.

[0106] 3. The server saves the data.

[0107] The server parses the received JSON data and saves it to the database. For example, it executes a query like this:

[0108] sql

[0109] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[0110] 4. The user creates a calculation request in a spreadsheet.

[0111] The user creates a new spreadsheet and makes a request to calculate the cost of the "antenna". For example, enter the following into a cell:

[0112] =REQUEST_COST("antenna")

[0113] 5. The server receives and processes the calculation request.

[0114] The server receives the request and retrieves the relevant data from the database. For example, it executes a query such as "SELECT FROM Component_Info WHERE Component = 'Antenna';". Based on the retrieved data, it performs cost calculations.

[0115] 6. The server generates and returns the calculation results.

[0116] The server generates the calculation result and returns JSON data like this:

[0117] json

[0118] {

[0119] "Component": "Antenna",

[0120] Total cost: 1000

[0121] }

[0122] 7. The device displays the calculation result.

[0123] The device parses the returned JSON data and displays "Total Cost: 1000 yen" in the appropriate cell of the spreadsheet.

[0124] Example of a prompt

[0125] The following prompts are used as example inputs to the generative AI model:

[0126] Prompt message:

[0127] Design a system that calculates the cost of a radio transceiver by inputting the usage conditions and prices of each component. This system should include the user entering data in a spreadsheet, sending it to a server, the server storing the data, receiving and processing calculation requests, and returning the calculation results to the user. Please explain the specific data exchange flow.

[0128] By clearly defining the operation of the entire system in this way, users can easily and efficiently check the cost of wireless devices. Furthermore, the collaboration between the terminal and the server allows for the automation of cost calculations while maintaining data consistency and up-to-dateness.

[0129] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0130] Step 1:

[0131] Users use PCs or tablets to input usage conditions and prices for each component of their wireless equipment into a spreadsheet. For example, a user might enter the price of a waterproof and shock-resistant antenna, "1000 yen," into a cell in Excel or Google Sheets. This input data is then converted into a format that can be organized within the spreadsheet.

[0132] Step 2:

[0133] The terminal converts the entered spreadsheet data into JSON format and sends it to the server using the HTTP or HTTPS protocol. Specifically, it generates JSON data like the following:

[0134] json

[0135] {

[0136] "Component": "Antenna",

[0137] "Usage conditions": ["Waterproof", "Shockproof"]

[0138] "Price": 1000

[0139] }

[0140] This is sent as an HTTP POST request, and the server receives the request.

[0141] Step 3:

[0142] The server parses the received JSON data and verifies the validity of the data format. Data that passes validation is saved to the database. For example, the following SQL query is executed to save the data:

[0143] sql

[0144] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[0145] If the saving process is successful, the input data will be added to the database.

[0146] Step 4:

[0147] The user creates a calculation request within the spreadsheet and sends it from their device to the server. For example, the user might enter the following into a cell in the spreadsheet:

[0148] =REQUEST_COST("antenna")

[0149] This is converted to JSON format and sent back to the server as an HTTP POST request.

[0150] Step 5:

[0151] The server receives the calculation request and searches for the corresponding data in the database. For example, it executes the following SQL query:

[0152] sql

[0153] SELECT FROM Component_Info WHERE Component = 'Antenna';

[0154] Cost calculations are performed based on the acquired data. Programming languages ​​such as Python and Node.js are used for the calculation process.

[0155] Step 6:

[0156] The server generates the cost calculation result, converts it to JSON format, and sends it back to the terminal. For example, the following calculation result might be returned:

[0157] json

[0158] {

[0159] "Component": "Antenna",

[0160] Total cost: 1000

[0161] }

[0162] This data will be returned as an HTTP response.

[0163] Step 7:

[0164] The terminal parses the received JSON data and displays the calculation result in the appropriate cell in the spreadsheet. The user can then see "Total Cost: 1000 yen" on the spreadsheet. This allows the user to quickly verify the cost of the entered materials.

[0165] (Application Example 1)

[0166] 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."

[0167] Conventional wireless cost verification systems efficiently manage input data and provide calculation results quickly, but they were not specialized for cost estimation of robot parts within a factory. Therefore, it was difficult for factory managers to input the usage conditions and prices of robot parts and immediately estimate costs. Furthermore, while rapid on-site response using smart devices is required, existing systems lacked the appropriate mechanisms to achieve this.

[0168] 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.

[0169] In this invention, the server includes terminal means for inputting usage conditions and price, server means for receiving usage conditions and price input from the terminal means and storing them in a database, server means for receiving a calculation request from the terminal means, searching for the corresponding data in the database and performing a cost calculation, server means for returning the calculation result to the terminal means, mobile terminal means for running an application for estimating the cost of robot parts in a factory, means for inputting part information, usage conditions, and price using the mobile terminal means, means for the server means to receive an estimate request, search for the corresponding part data in the database and perform a cost estimate, and means for displaying the estimate result on the mobile terminal means.

[0170] This will enable factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[0171] "Usage conditions" refer to the specifications and characteristics of how a part or component is used in a particular situation or environment.

[0172] "Price" is a numerical value that indicates the monetary value assigned to a part or component.

[0173] "Terminal means" refers to electronic devices used by a user to input or receive data.

[0174] A "server system" is a computer system used for storing, retrieving, and calculating data, and for communicating with terminal systems.

[0175] A "database" is an information aggregation system that systematically stores and manages multiple data points, making them easily searchable.

[0176] A "calculation request" is an operation in which a user asks a server to perform a calculation based on specific data or conditions.

[0177] "Cost calculation" is the process of calculating total costs or estimates based on the usage conditions and prices of parts and materials.

[0178] "Robot parts in a factory" refers to components of automated machinery used in a factory.

[0179] A "mobile terminal means" is a portable electronic device used to run a cost estimation application for robot parts.

[0180] "Part information" refers to detailed specifications and data about a specific part, including dimensions, material, and usage conditions.

[0181] A "quote request" is a request to the server to provide a cost estimate.

[0182] "Estimated results" refer to the predicted cost information generated after the server performs cost calculations.

[0183] This invention is a system for estimating the cost of robot parts in a factory, and includes the following elements.

[0184] Terminal function

[0185] Users input part information, usage conditions, and prices using mobile terminals (e.g., smartphones or tablets) within the factory. A mobile application is used as the user interface, allowing for intuitive operation.

[0186] Server functionality

[0187] The server has the following functions:

[0188] 1. Data Reception and Storage: Receive usage conditions and prices entered from the terminal device and store them in the database. When new data is entered, update existing data or add and save it as new data.

[0189] 2. Processing of calculation requests: When a user submits a quote request, the server receives it, retrieves the data for the corresponding parts from the database, and performs the cost calculation.

[0190] 3. Return of results: Once the calculation results are generated, the server means returns the results to the terminal means, and the terminal means displays them.

[0191] Hardware and software to be used

[0192] Hardware: Mobile devices (smartphones and tablets), servers

[0193] Software: Mobile applications (developed with React Native), server applications (developed with Python Flask), databases (SQLite)

[0194] Data processing and data calculation

[0195] The server performs the following data processing and calculations:

[0196] 1. Receive component information, usage conditions, and price transmitted from the terminal device and store them in the database.

[0197] 2. When a calculation request occurs, the system searches the database for the relevant data and performs the cost calculation.

[0198] 3. Generate the calculation result and return the result to the terminal device.

[0199] Specific example

[0200] For example, if a factory manager wants to estimate the cost of a robot's servo motor, the following steps would be taken:

[0201] 1. Enter "servo motor, heat resistant, 2000 yen" into the mobile app.

[0202] 2. Submit a quote request.

[0203] 3. The server retrieves the relevant information from the database and performs cost calculation.

[0204] 4. The obtained estimate of "2000 yen" is sent back to the terminal device.

[0205] 5. The user checks the results on a mobile device.

[0206] Thus, the present invention enables factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[0207] Example of a prompt

[0208] Examples of prompt statements to use are as follows:

[0209] Enter the servo motor part information and check the quote.

[0210] Part name: Servo motor

[0211] Usage conditions: Heat resistant

[0212] Price: 2000 yen

[0213] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0214] Step 1:

[0215] The user inputs part information, usage conditions, and price using a mobile device. Specifically, they open the mobile application and enter "Servo motor" in the "Part name" field, "Heat resistant" in the "Usage conditions" field, and "2000 yen" in the "Price" field. The input data is converted to the appropriate format within the application and sent to the server.

[0216] Step 2:

[0217] The terminal device sends input data to the server device. Specifically, the input data is serialized in JSON format and sent as an HTTP POST request to a specific endpoint on the server device. The input sent is "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[0218] Step 3:

[0219] The server receives input data and saves it to the database. Specifically, it deserializes the received JSON data and saves it as a new record in the SQLite database. If existing data exists, it is updated; otherwise, a new record is added. The database stores "part name, usage conditions, and price".

[0220] Step 4:

[0221] The user generates a cost estimate request using a mobile device and sends it to the server. Specifically, the user presses the estimate request button in the mobile application, enters the "part name" and "usage conditions," and submits the request. The input data would be "Part name: Servo motor, Usage conditions: Heat resistant."

[0222] Step 5:

[0223] The server receives the quote request and searches the database for the corresponding data. Specifically, it parses the received request data and searches the SQLite database for matching part information. The database retrieves the information "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[0224] Step 6:

[0225] The server performs the cost calculation. Specifically, it calculates the price based on the parts information obtained from the search results. In this case, the price will remain "2000 yen," but in some situations, more complex calculations may be performed. The cost estimate result is "2000 yen."

[0226] Step 7:

[0227] The server sends the calculation result back to the terminal. Specifically, it serializes the calculation result in JSON format and sends it to the mobile terminal as an HTTP response. The output data sent is "Estimated result: 2000 yen".

[0228] Step 8:

[0229] The terminal device receives the calculation result and displays it to the user. Specifically, it deserializes the received JSON data and displays it on the mobile application screen. The user can visually confirm the "Estimated Result: 2000 yen".

[0230] 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.

[0231] The present invention is a system for efficiently verifying the cost of wireless devices, and includes terminal means for inputting usage conditions and price, server means for receiving the usage conditions and price input from the terminal means and storing them in a database, server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations, server means for returning the calculation results to the terminal means, and an emotion engine for recognizing the user's emotions.

[0232] Terminal function

[0233] The user uses a terminal device (e.g., a PC or tablet) to input the usage conditions and price of each component of the wireless device. In this input process, the terminal device uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's facial expressions, voice, input speed, etc., to determine whether the user is feeling stressed or inputting smoothly.

[0234] The emotion engine provides guidance to assist with input when the input process is cumbersome and stressful for the user. For example, if a user is frowning, the emotion engine reduces the user's burden by suggesting simpler, more intuitive input steps and data suggestions.

[0235] Server functionality

[0236] The server receives usage conditions and price data transmitted from the terminal and stores it in a database. When new data is entered, it updates existing data or adds and stores the new data. The server also receives cost calculation requests based on the data, searches for the corresponding data, and performs the calculation.

[0237] The server generates the calculation result and sends it back to the terminal. When the calculation result is sent back, the emotion engine is used again. Depending on the user's reaction, for example, if the user shows a surprised or confused expression, the server sends a notification to the terminal that provides additional explanations or suggests the next action.

[0238] Specific example

[0239] 1. Users enter data using terminal devices.

[0240] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[0241] 2. The terminal device sends data to the server.

[0242] The terminal device sends the input data to the server.

[0243] 3. The server saves the data.

[0244] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[0245] 4. The user creates a calculation request in a spreadsheet.

[0246] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[0247] 5. The server receives and processes the calculation request.

[0248] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[0249] 6. The server generates and returns the calculation results.

[0250] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[0251] 7. The terminal device displays the calculation result.

[0252] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[0253] Thus, this system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[0254] The following describes the processing flow.

[0255] Step 1:

[0256] The user inputs the usage conditions and price of each component of the wireless device using a terminal device. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen." At this time, the terminal device's emotion engine monitors the user's facial expressions and voice to analyze whether the user is experiencing stress.

[0257] Step 2:

[0258] If the emotion engine detects from the user's facial expressions or voice that input is not progressing smoothly, the terminal device will provide assistance to the user. This assistance may take the form of tooltips or guide messages.

[0259] Step 3:

[0260] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[0261] Step 4:

[0262] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server stores this data in a database. When new data is entered, it either updates the existing data or adds it as new data.

[0263] Step 5:

[0264] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into specific cells in the spreadsheet. Throughout this process, the emotion engine monitors the user's emotions and detects signs of stress.

[0265] Step 6:

[0266] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[0267] Step 7:

[0268] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[0269] Step 8:

[0270] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[0271] Step 9:

[0272] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions. The server monitors the request status during the calculation process and logs the results as needed.

[0273] Step 10:

[0274] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[0275] Step 11:

[0276] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method. The server verifies that the result has been transmitted correctly.

[0277] Step 12:

[0278] The terminal device displays the calculation results it receives in a spreadsheet. The user checks the calculation results in the spreadsheet. The emotion engine monitors the user's reactions, and if the user is surprised or confused, the terminal device displays additional explanations or supplementary information.

[0279] Through this process, the system can efficiently calculate the cost of wireless devices while simultaneously recognizing user emotions and providing appropriate support, thereby improving the user experience.

[0280] (Example 2)

[0281] 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 will be referred to as the "terminal".

[0282] In the conventional cost calculation system for radios, there was a problem that inputting usage conditions and prices was complicated and burdensome for users. Also, although the server received data and performed cost calculations, it did not consider the user's feelings and input situation, resulting in the issue that the operation was not intuitive. As a result, users often spent time on inputting and creating calculation requests, and the overall work efficiency decreased.

[0283] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following respective means.

[0284] In this invention, the server includes an input means, a means for storing data in a database, a means for receiving a calculation request and performing a cost calculation, a means for returning a calculation result, and a user interface means including an emotion engine that recognizes the user's emotions and supports input. Thereby, the operation becomes intuitive and smooth, the burden on the user is reduced, and it becomes possible to improve the overall work efficiency.

[0285] The "input means" is a hardware or software interface for the user to input usage conditions and price information.

[0286] The "server means" is a network server and its related system for receiving, storing, performing a cost calculation on, and returning the result of the data transmitted from the input means.

[0287] The "database" is a system for storing and managing the data received by the server means, and a relational database management system (RDBMS) etc. are applicable.

[0288] The "calculation request" refers to data or instructions for the user to request the server to execute a calculation.

[0289] The "cost calculation" is a process of calculating the cost of the parts and the whole of the radio based on the input usage conditions and price information.

[0290] "Calculation results" refer to the output data after the server performs cost calculations, and include cost information for individual components and the overall cost.

[0291] An "emotion engine" is a software or hardware system that recognizes a user's emotional state based on their facial expressions, voice, input speed, etc., and provides appropriate support.

[0292] "User interface means" refers to the interface through which a user accesses the system, and encompasses the entire operating system, including input means and emotion engine.

[0293] "Spreadsheet software" refers to software used by users to input data and generate calculation requests, and includes spreadsheet tools.

[0294] "Stress" refers to the burden and fatigue that users experience during the input and operation process.

[0295] The present invention is a system for efficiently calculating the cost of wireless devices, and includes the following main components: input means, server means, database, emotion engine, and user interface means.

[0296] 1. Input method

[0297] Users input usage conditions and prices for each component of a wireless device using a device such as a PC or tablet. Spreadsheet software (e.g., Excel or Google Sheets) is used for input. Users enter information such as "antenna, waterproof, shockproof, 1000 yen" into the input form. In this input process, the user interface uses an emotion engine to recognize the user's emotions.

[0298] 2. Emotional Engine

[0299] The emotion engine analyzes the user's facial expressions, voice, and input speed to determine whether the user is experiencing stress or inputting smoothly. This analysis utilizes facial recognition software such as OpenFace and DeepFace, as well as IBM Watson® Tone Analyzer. If the user is experiencing stress, the emotion engine reduces the user's burden by suggesting simpler and more intuitive input procedures and data options.

[0300] 3. Server means

[0301] The server receives usage conditions and price data sent from the input and stores it in a database. Relational databases such as MySQL or PostgreSQL are used for this purpose. When new data is entered, the server updates existing data or appends the new data. In addition, the server receives calculation requests, retrieves the corresponding data from the database, and performs cost calculations. Python libraries such as NumPy and Pandas are used for these calculations.

[0302] 4. Return of calculation results and feedback

[0303] The server generates the calculation results and sends them back to the terminal. When the terminal receives the calculation results, the emotion engine analyzes the user's emotions again and provides appropriate feedback. For example, if the user shows a surprised or confused expression, the server sends a notification to the terminal with additional explanations or suggestions for the next action.

[0304] Specific example

[0305] 1. Users enter data using terminal devices.

[0306] The user inputs the usage conditions of the antenna part, "waterproofness, shock resistance", and the price, "1000 yen", using the terminal means. At this time, the emotion engine monitors the user's input situation. If the user is slow or shows a confused expression, the emotion engine displays options or guidance to support the input.

[0307] 2. The terminal means transmits data to the server

[0308] The terminal means transmits the input data to the server.

[0309] 3. The server saves the data

[0310] The server saves the data of "antenna, waterproofness, shock resistance, 1000 yen" in the database. If there is existing data, it updates it; if not, it saves it newly.

[0311] 4. The user creates a calculation request using a spreadsheet

[0312] The user creates a calculation request using a spreadsheet and transmits it to the server. At this time, the emotion engine analyzes the user's emotion and checks whether the calculation request is properly created.

[0313] 5. The server receives and processes the calculation request

[0314] The server receives the calculation request, searches for the data of "antenna, waterproofness, shock resistance, 1000 yen" from the database, and performs a cost calculation.

[0315] 6. The server generates and returns the calculation result

[0316] The server generates the cost calculation result and returns it to the terminal means. When receiving the calculation result, the terminal means recognizes the user's emotion and provides appropriate feedback.

[0317] 7. The terminal means displays the calculation result

[0318] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[0319] Example of a prompt

[0320] "If a user is hesitant to input 'waterproofing,' the emotion engine provides simple guidance. Specifically, if a user frowns and stops typing, the system will suggest options such as 'Please select a specific waterproofing standard.'"

[0321] "When a user creates a calculation request, the sentiment engine analyzes the user's emotions and provides support. Specifically, if the user indicates confusion, the server will send a suggestion such as, 'Would you like to use a calculation request template?'"

[0322] "The emotion engine provides additional explanations based on the user's reaction to the calculation results. For example, if the user shows a surprised expression, the system will display a message such as, 'Would you like to see more details about this unexpected result?'"

[0323] This system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[0324] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0325] Step 1:

[0326] The user enters the usage conditions and price of the radio equipment using an input device (PC or tablet).

[0327] In terms of specific operations, the user opens spreadsheet software (e.g., Excel or Google Sheets) and enters data such as "antenna, waterproof, shockproof, 1000 yen". The entered data is saved in the spreadsheet software's cells. Based on the input, the data is temporarily stored in the memory of the input device.

[0328] Step 2:

[0329] The emotion engine analyzes the user's emotions and supports their input.

[0330] In terms of specific operations, the emotion engine captures the user's facial expressions with a webcam, collects audio with a microphone, and measures input speed. For example, if the user is frowning or inputting slowly, the emotion engine determines that the user is stressed. OpenFace, DeepFace, and IBM Watson Tone Analyzer are used for this analysis. Based on the analysis results, the emotion engine displays guidance on the screen, such as "Please select specific criteria for water resistance." The input is processed by the emotion engine's algorithm, and guidance is generated as output.

[0331] Step 3:

[0332] The terminal sends the input data to the server.

[0333] In terms of specific operations, once the user has finished entering the information, the terminal clicks the "Send" button. This action sends the entered data ("Antenna, Waterproof, Shockproof, 1000 yen") to the server via the terminal's network interface. The input data is sent to the server in the form of an HTTP request or similar. The server receives this request and parses the data. The input is sent from the user's terminal and received by the server.

[0334] Step 4:

[0335] The server saves the data to the database.

[0336] In terms of specific operations, the server parses the received data and stores it as structured data in a MySQL or PostgreSQL database. The process is as follows:

[0337] If existing data exists, use the "UPDATE" query to update it.

[0338] If no existing data exists, use an "INSERT" query to save new data.

[0339] The input data is received by the server and processed into a format that can be stored in the database. The output is the data entry stored in the database.

[0340] Step 5:

[0341] The user creates a calculation request and sends it to the server.

[0342] In terms of specific operations, the user creates a calculation request in spreadsheet software. They input the "calculation request" into a cell and send it to the server. The emotion engine analyzes the user's emotions, and if the user is confused, it displays a suggestion on the screen such as "Would you like to use a calculation request template?". Input is sent from the user's terminal and received by the server.

[0343] Step 6:

[0344] The server receives and processes the calculation request.

[0345] In terms of operation, when the server receives a calculation request, it searches the database for the corresponding data and performs the cost calculation. SQL queries are used for the search process, and NumPy or Pandas libraries are used for the calculation process. For example, a query like "SELECT FROM database WHERE component name = 'antenna'" is executed, and calculations are performed based on the retrieved data. The input is the calculation request received by the server, and the output is the calculation result.

[0346] Step 7:

[0347] The server generates the calculation result and sends it back to the terminal.

[0348] In terms of specific operation, the server generates a calculation result and sends it back to the terminal. The calculation result includes information such as "Total cost: 3000 yen". The generated calculation result is sent to the terminal in the form of an HTTP response or similar. The input is the result of the server's calculation process, and the output is the calculation result sent back to the terminal.

[0349] Step 8:

[0350] The device displays the calculation results, and the emotion engine checks the user's reaction.

[0351] In terms of specific operation, the terminal displays the calculation result in spreadsheet software for the user to review. The emotion engine then checks the user's facial expressions and voice again, and if the user shows a surprised expression, for example, it provides additional information such as, "Would you like to see the detailed calculation steps?" The input is the calculation result displayed on the terminal, and the output is additional information and hints based on the user's reaction.

[0352] Through the above processing steps, the cost calculation of wireless devices is performed efficiently and intuitively, reducing the burden on users and improving overall work efficiency.

[0353] (Application Example 2)

[0354] 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".

[0355] Conventional factory robot production cost calculation systems required users to manually input vast amounts of data, resulting in cumbersome data entry and complex calculations. Furthermore, the systems unilaterally collected and calculated data without considering user emotions or reactions, leading to poor usability and hindering efficient work. Additionally, a lack of feedback to help users understand the calculation results could lead to misunderstandings and confusion.

[0356] 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.

[0357] In this invention, the server includes an input means for inputting usage conditions and prices; a storage means for receiving the usage conditions and prices input from the input means and storing them in a database; a calculation means for receiving a calculation request from the input means, searching for the corresponding data in the database, and performing a cost calculation; a transmission means for returning the calculation results to the input means; an emotion recognition means for recognizing the user's emotions by analyzing facial expressions, voice, and input speed; and a support means for analyzing the user's emotions using the emotion recognition means and providing input assistance according to the user's state. This enables the user to input data efficiently and perform cost calculations smoothly while reducing complexity and stress. Furthermore, transparency and usability can be improved by providing feedback to help the user understand the calculation results.

[0358] "Input method" refers to a device or interface used by the user to input usage conditions and price.

[0359] "Storage means" refers to a device or server that has the function of receiving data transmitted from input means and storing it in a database.

[0360] "Calculation means" refers to devices or servers that have the function of performing cost calculations based on data stored in a database.

[0361] "Transmission means" refers to a device or server that has the function of sending the calculation results obtained by the calculation means back to the input means.

[0362] "Emotion recognition means" refers to functions and systems that analyze the user's facial expressions, voice, and input speed to recognize the user's emotions.

[0363] "Support measures" refer to functions or systems that provide assistance with input appropriate to the user's state based on the user's emotions analyzed by emotion recognition measures.

[0364] The present invention is a system for efficiently calculating the production costs of factory robots, and includes data input by input means, database management by storage means, cost calculation by calculation means, result notification by transmission means, emotion recognition, and user support by support means. The system is implemented as follows.

[0365] System Program Overview

[0366] The system is developed using Python. SQLite is used as the database management system to store and manage data entered by users. Users enter usage conditions and prices through input devices (e.g., PCs or tablets), and this data is recorded in the database by the storage device.

[0367] The calculation system receives calculation requests from users, searches the database for data, and performs cost calculations. The calculation system then sends the calculation results back to the user via the transmission system. This allows users to quickly understand the total cost based on the information they entered.

[0368] emotion recognition means

[0369] Emotion recognition methods recognize a user's emotions by analyzing facial expressions, voice, and input speed. For example, they use facial recognition APIs (such as Google Cloud Vision API or Microsoft® Azure® Emotion API) or speech recognition APIs to determine if the user is stressed or confused.

[0370] Support means

[0371] The support system provides appropriate input assistance and feedback based on the user's emotional information obtained through the emotion recognition system. If the user shows confusion or stress during input, the system presents guidance and candidate data. If the user shows surprise or confusion when receiving feedback on calculation results, the system provides additional explanations and supplementary information.

[0372] Specific example

[0373] If a user wants to calculate the production cost of a factory robot's motor, they would follow these steps: First, the user uses the input device to enter the component name "motor," usage conditions "high temperature resistant, long lifespan," and price "5000 yen." During input, an emotion recognition device monitors the user's facial expressions and input speed, and if confusion or stress is detected, the support device provides guidance to the user.

[0374] Next, the calculation unit stores the input data in the storage unit and receives the calculation request. The calculation unit searches the database for relevant data and calculates the total cost. The calculation result is returned to the user through the transmission unit. If the user is surprised or confused by the result, the support unit provides additional explanations.

[0375] Example of a prompt

[0376] The user enters the following component information to calculate the production cost of the factory robot:

[0377] Component name: Motor

[0378] Usage conditions: High temperature resistant, long lifespan

[0379] Price: 5000 yen

[0380] The emotion engine should analyze the user's emotions based on facial and voice recognition, and provide guidance if it detects stress or confusion. Additionally, when the total cost calculation is presented, provide appropriate additional information for expressions of surprise or confusion.

[0381] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0382] Step 1:

[0383] The user enters component information (e.g., component name, usage conditions, price) using an input device. This information is entered into a form on the user's PC or tablet. During this process, the terminal device uses facial recognition APIs and speech recognition APIs to recognize the user's emotions, and if stress or confusion is detected, the terminal immediately provides guidance.

[0384] Input: Component information (component name, usage conditions, price), user facial expressions and voice data

[0385] Output: User input data, emotion recognition results

[0386] Step 2:

[0387] The terminal device sends input data to the server. The input data is sent to the server in real time, and the server receives the data. This process is carried out via communication means such as the internet.

[0388] Input: User input data

[0389] Output: Data sent to the server

[0390] Step 3:

[0391] The server saves the received data to the database. When new data is entered, existing data is updated or new records are added. The server verifies that the data has been saved successfully.

[0392] Input: Submitted input data

[0393] Output: Data stored in the database

[0394] Step 4:

[0395] The user generates a calculation request and sends it from the terminal to the server. The user creates the calculation request using spreadsheet software or similar on the terminal and sends it to the server. The emotion engine then re-analyzes the user's emotions and supports the creation of an appropriate request.

[0396] Input: Calculation request, user facial expressions, and voice data

[0397] Output: Calculation request sent to the server, emotion recognition result

[0398] Step 5:

[0399] The server receives a calculation request and searches the database for the corresponding data. The server uses a calculation tool to extract the relevant data from the database and perform cost calculations. The calculation tool uses a specific algorithm to determine the total cost based on the input conditions.

[0400] Input: Compute request sent to the server, data in the database

[0401] Output: Calculation result

[0402] Step 6:

[0403] The server returns the calculation results to the terminal. An emotion recognition system analyzes the user's emotions upon receiving the calculation results, and a support system provides additional explanations and feedback based on the user's response.

[0404] Input: Calculation result, user's facial expression and voice data

[0405] Output: Calculation results and feedback sent to the user

[0406] Step 7:

[0407] The device displays the calculation results, which the user then reviews. The user's emotions are analyzed again, and further support is provided by displaying supplementary information and hints as needed.

[0408] Input: Calculation results sent from the server, user's facial expressions, and voice data.

[0409] Output: Displayed calculation results, additional explanations and hints

[0410] 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.

[0411] 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.

[0412] 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.

[0413] [Second Embodiment]

[0414] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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).

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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.

[0425] 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".

[0426] The present invention is a system for efficiently verifying the cost of wireless devices, and includes the following elements: a terminal means for inputting usage conditions and price; a server means for receiving the usage conditions and price input from the terminal means and storing them in a database; a server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations; and a server means for returning the calculation results to the terminal means. Specifically, this system operates as follows.

[0427] Terminal function

[0428] Users input usage conditions and prices for each component of the wireless device using a terminal device (e.g., a PC or tablet). The terminal device transmits the entered data to the server device. Users can intuitively manage and input data using spreadsheets (e.g., Excel or Google Sheets).

[0429] Server functionality

[0430] The server is responsible for storing the usage conditions and prices received from the terminal in a database. When new data is entered, the server either updates the existing data or adds it as new data. This ensures data consistency and up-to-dateness.

[0431] When a user submits a calculation request, the server receives it and retrieves the corresponding data from the database. The server performs cost calculations based on the stored data. Once the calculation results are generated, the server sends them back to the terminal.

[0432] Specific example

[0433] The following are some specific examples.

[0434] 1. Users enter data using terminal devices.

[0435] The user enters the usage conditions for the antenna part, "waterproof and shockproof," and the price, "1000 yen," via their terminal.

[0436] 2. The terminal device sends data to the server.

[0437] The terminal device transmits this data to the server device.

[0438] 3. The server saves the data.

[0439] The server method stores "antenna, waterproof, shockproof, 1000 yen" in its database.

[0440] 4. The user creates a calculation request in a spreadsheet.

[0441] The user uses a spreadsheet to generate calculation requests and send them to the server.

[0442] 5. The server receives and processes the calculation request.

[0443] The server receives a calculation request, searches the database for the corresponding data "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[0444] 6. The server generates and returns the calculation results.

[0445] The server generates the calculation result (for example, a total cost of 1000 yen) and sends it back to the terminal.

[0446] 7. The terminal device displays the calculation result.

[0447] The terminal device displays the received calculation results in a spreadsheet, which the user then reviews.

[0448] In this way, this system streamlines the verification of specific specifications and data entry for wireless devices, allowing users to easily check costs. Furthermore, the central role of the server enables integrated data management and automated calculations. This significantly improves ease of operation and efficiency.

[0449] The following describes the processing flow.

[0450] Step 1:

[0451] The user inputs the usage conditions and price of each component of the wireless device using a terminal. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen".

[0452] Step 2:

[0453] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[0454] Step 3:

[0455] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server then stores this data in a database.

[0456] Step 4:

[0457] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into a specific cell in the spreadsheet.

[0458] Step 5:

[0459] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[0460] Step 6:

[0461] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[0462] Step 7:

[0463] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[0464] Step 8:

[0465] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions.

[0466] Step 9:

[0467] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[0468] Step 10:

[0469] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method.

[0470] Step 11:

[0471] The terminal device displays the calculation results it receives in a spreadsheet. The user reviews the calculation results in the spreadsheet and makes necessary decisions based on them.

[0472] (Example 1)

[0473] 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."

[0474] Conventional cost management systems for wireless equipment suffered from inefficiency due to the cumbersome process of inputting usage conditions and prices for each component, requiring users to manually organize and calculate data. Furthermore, maintaining data consistency was difficult, and accurate cost calculations based on the latest data were required. Additionally, a system capable of quickly displaying calculation results was needed.

[0475] 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.

[0476] In this invention, the server includes an information terminal means for inputting usage conditions and prices; a computer means for receiving the usage conditions and prices input from the information terminal means and storing them in a database; a computer means for receiving a calculation request from the information terminal means, searching for the corresponding data in the database, and performing a cost calculation; and a computer means for returning the calculation results to the information terminal means. This makes it possible for users to easily check the cost of wireless devices while maintaining data consistency and up-to-dateness.

[0477] "Operating conditions" refer to specific performance and environmental requirements that each component of a radio device must meet.

[0478] "Price" refers to the monetary value assigned to each component of a radio.

[0479] An "information terminal device" is a device used by a user to input usage conditions and prices and transmit them to a server; this includes PCs and tablets.

[0480] "Computing means" refers to a device that includes a system or program for storing received data in a database, processing calculation requests, and performing cost calculations.

[0481] A "database" is a structured collection of information used by computing devices to efficiently store and manage data such as usage conditions and prices.

[0482] A "calculation request" is a request sent from an information terminal to a server to perform cost calculations based on specific data.

[0483] "Cost calculation" is the process of calculating the total cost of a radio based on usage conditions and price data.

[0484] "Calculation result" refers to the final output of the cost calculation performed based on the calculation request.

[0485] This invention relates to a system for efficiently verifying the cost of wireless equipment, and includes an information terminal for inputting usage conditions and prices, and a server that receives this information, stores it in a database, and processes calculation requests. This system is designed to allow users to intuitively input usage conditions and prices and to quickly perform cost calculations based on that information.

[0486] Device functions

[0487] Users input usage conditions and prices for each component of the wireless equipment using information terminals such as PCs and tablets. Specifically, they input and manage data using spreadsheet software such as Excel or Google Sheets. By inputting data into a spreadsheet, users can intuitively manipulate the data. The entered data is converted into a data format such as JSON and sent to the server using the HTTP or HTTPS protocol.

[0488] Server Functions

[0489] The server receives usage conditions and price data transmitted from the information terminal and stores it in the database. During this process, data validation is performed to confirm the correctness of the data format. Relational databases such as MySQL and PostgreSQL are commonly used as the storage database. When new data is transmitted, the server either updates the existing data or adds it as new data.

[0490] When a user sends a calculation request from their information terminal, the server receives it and searches the database for the corresponding data. The server then performs cost calculations based on the retrieved data. Programming languages ​​such as Python and Node.js are used for the calculation process. Once the calculation results are generated, the server converts them into JSON format and sends them back to the information terminal.

[0491] Specific example

[0492] Next, I will show some specific examples of its use.

[0493] 1. The user enters data on the terminal.

[0494] The user uses a PC to enter the price of a waterproof and shockproof antenna, "1000 yen," into a spreadsheet.

[0495] 2. The device sends data to the server.

[0496] The device reads data from the spreadsheet, converts it to JSON format, and sends it to the server using an HTTP POST request.

[0497] 3. The server saves the data.

[0498] The server parses the received JSON data and saves it to the database. For example, it executes a query like this:

[0499] sql

[0500] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[0501] 4. The user creates a calculation request in a spreadsheet.

[0502] The user creates a new spreadsheet and makes a request to calculate the cost of the "antenna". For example, enter the following into a cell:

[0503] =REQUEST_COST("antenna")

[0504] 5. The server receives and processes the calculation request.

[0505] The server receives the request and retrieves the relevant data from the database. For example, it executes a query such as "SELECT FROM Component_Info WHERE Component = 'Antenna';". Based on the retrieved data, it performs cost calculations.

[0506] 6. The server generates and returns the calculation results.

[0507] The server generates the calculation result and returns JSON data like this:

[0508] json

[0509] {

[0510] "Component": "Antenna",

[0511] Total cost: 1000

[0512] }

[0513] 7. The device displays the calculation result.

[0514] The device parses the returned JSON data and displays "Total Cost: 1000 yen" in the appropriate cell of the spreadsheet.

[0515] Example of a prompt

[0516] The following prompts are used as example inputs to the generative AI model:

[0517] Prompt message:

[0518] Design a system that calculates the cost of a radio transceiver by inputting the usage conditions and prices of each component. This system should include the user entering data in a spreadsheet, sending it to a server, the server storing the data, receiving and processing calculation requests, and returning the calculation results to the user. Please explain the specific data exchange flow.

[0519] By clearly defining the operation of the entire system in this way, users can easily and efficiently check the cost of wireless devices. Furthermore, the collaboration between the terminal and the server allows for the automation of cost calculations while maintaining data consistency and up-to-dateness.

[0520] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0521] Step 1:

[0522] Users use PCs or tablets to input usage conditions and prices for each component of their wireless equipment into a spreadsheet. For example, a user might enter the price of a waterproof and shock-resistant antenna, "1000 yen," into a cell in Excel or Google Sheets. This input data is then converted into a format that can be organized within the spreadsheet.

[0523] Step 2:

[0524] The terminal converts the entered spreadsheet data into JSON format and sends it to the server using the HTTP or HTTPS protocol. Specifically, it generates JSON data like the following:

[0525] json

[0526] {

[0527] "Component": "Antenna",

[0528] "Usage conditions": ["Waterproof", "Shockproof"]

[0529] "Price": 1000

[0530] }

[0531] This is sent as an HTTP POST request, and the server receives the request.

[0532] Step 3:

[0533] The server parses the received JSON data and verifies the validity of the data format. Data that passes validation is saved to the database. For example, the following SQL query is executed to save the data:

[0534] sql

[0535] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[0536] If the saving process is successful, the input data will be added to the database.

[0537] Step 4:

[0538] The user creates a calculation request within the spreadsheet and sends it from their device to the server. For example, the user might enter the following into a cell in the spreadsheet:

[0539] =REQUEST_COST("antenna")

[0540] This is converted to JSON format and sent back to the server as an HTTP POST request.

[0541] Step 5:

[0542] The server receives the calculation request and searches for the corresponding data in the database. For example, it executes the following SQL query:

[0543] sql

[0544] SELECT FROM Component_Info WHERE Component = 'Antenna';

[0545] Cost calculations are performed based on the acquired data. Programming languages ​​such as Python and Node.js are used for the calculation process.

[0546] Step 6:

[0547] The server generates the cost calculation result, converts it to JSON format, and sends it back to the terminal. For example, the following calculation result might be returned:

[0548] json

[0549] {

[0550] "Component": "Antenna",

[0551] Total cost: 1000

[0552] }

[0553] This data will be returned as an HTTP response.

[0554] Step 7:

[0555] The terminal parses the received JSON data and displays the calculation result in the appropriate cell in the spreadsheet. The user can then see "Total Cost: 1000 yen" on the spreadsheet. This allows the user to quickly verify the cost of the entered materials.

[0556] (Application Example 1)

[0557] 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 glasses 214 will be referred to as the "terminal."

[0558] Conventional wireless cost verification systems efficiently manage input data and provide calculation results quickly, but they were not specialized for cost estimation of robot parts within a factory. Therefore, it was difficult for factory managers to input the usage conditions and prices of robot parts and immediately estimate costs. Furthermore, while rapid on-site response using smart devices is required, existing systems lacked the appropriate mechanisms to achieve this.

[0559] 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.

[0560] In this invention, the server includes terminal means for inputting usage conditions and price, server means for receiving usage conditions and price input from the terminal means and storing them in a database, server means for receiving a calculation request from the terminal means, searching for the corresponding data in the database and performing a cost calculation, server means for returning the calculation result to the terminal means, mobile terminal means for running an application for estimating the cost of robot parts in a factory, means for inputting part information, usage conditions, and price using the mobile terminal means, means for the server means to receive an estimate request, search for the corresponding part data in the database and perform a cost estimate, and means for displaying the estimate result on the mobile terminal means.

[0561] This will enable factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[0562] "Usage conditions" refer to the specifications and characteristics of how a part or component is used in a particular situation or environment.

[0563] "Price" is a numerical value that indicates the monetary value assigned to a part or component.

[0564] "Terminal means" refers to electronic devices used by a user to input or receive data.

[0565] A "server system" is a computer system used for storing, retrieving, and calculating data, and for communicating with terminal systems.

[0566] A "database" is an information aggregation system that systematically stores and manages multiple data points, making them easily searchable.

[0567] A "calculation request" is an operation in which a user asks a server to perform a calculation based on specific data or conditions.

[0568] "Cost calculation" is the process of calculating total costs or estimates based on the usage conditions and prices of parts and materials.

[0569] "Robot parts in a factory" refers to components of automated machinery used in a factory.

[0570] A "mobile terminal means" is a portable electronic device used to run a cost estimation application for robot parts.

[0571] "Part information" refers to detailed specifications and data about a specific part, including dimensions, material, and usage conditions.

[0572] A "quote request" is a request to the server to provide a cost estimate.

[0573] "Estimated results" refer to the predicted cost information generated after the server performs cost calculations.

[0574] This invention is a system for estimating the cost of robot parts in a factory, and includes the following elements.

[0575] Terminal function

[0576] Users input part information, usage conditions, and prices using mobile terminals (e.g., smartphones or tablets) within the factory. A mobile application is used as the user interface, allowing for intuitive operation.

[0577] Server functionality

[0578] The server has the following functions:

[0579] 1. Data Reception and Storage: Receive usage conditions and prices entered from the terminal device and store them in the database. When new data is entered, update existing data or add and save it as new data.

[0580] 2. Processing of calculation requests: When a user submits a quote request, the server receives it, retrieves the data for the corresponding parts from the database, and performs the cost calculation.

[0581] 3. Return of results: Once the calculation results are generated, the server means returns the results to the terminal means, and the terminal means displays them.

[0582] Hardware and software to be used

[0583] Hardware: Mobile devices (smartphones and tablets), servers

[0584] Software: Mobile applications (developed with React Native), server applications (developed with Python Flask), databases (SQLite)

[0585] Data processing and data calculation

[0586] The server performs the following data processing and calculations:

[0587] 1. Receive component information, usage conditions, and price transmitted from the terminal device and store them in the database.

[0588] 2. When a calculation request occurs, the system searches the database for the relevant data and performs the cost calculation.

[0589] 3. Generate the calculation result and return the result to the terminal device.

[0590] Specific example

[0591] For example, if a factory manager wants to estimate the cost of a robot's servo motor, the following steps would be taken:

[0592] 1. Enter "servo motor, heat resistant, 2000 yen" into the mobile app.

[0593] 2. Submit a quote request.

[0594] 3. The server retrieves the relevant information from the database and performs cost calculation.

[0595] 4. The obtained estimate of "2000 yen" is sent back to the terminal device.

[0596] 5. The user checks the results on a mobile device.

[0597] Thus, the present invention enables factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[0598] Example of a prompt

[0599] Examples of prompt statements to use are as follows:

[0600] Enter the servo motor part information and check the quote.

[0601] Part name: Servo motor

[0602] Usage conditions: Heat resistant

[0603] Price: 2000 yen

[0604] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0605] Step 1:

[0606] The user inputs part information, usage conditions, and price using a mobile device. Specifically, they open the mobile application and enter "Servo motor" in the "Part name" field, "Heat resistant" in the "Usage conditions" field, and "2000 yen" in the "Price" field. The input data is converted to the appropriate format within the application and sent to the server.

[0607] Step 2:

[0608] The terminal device sends input data to the server device. Specifically, the input data is serialized in JSON format and sent as an HTTP POST request to a specific endpoint on the server device. The input sent is "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[0609] Step 3:

[0610] The server receives input data and saves it to the database. Specifically, it deserializes the received JSON data and saves it as a new record in the SQLite database. If existing data exists, it is updated; otherwise, a new record is added. The database stores "part name, usage conditions, and price".

[0611] Step 4:

[0612] The user generates a cost estimate request using a mobile device and sends it to the server. Specifically, the user presses the estimate request button in the mobile application, enters the "part name" and "usage conditions," and submits the request. The input data would be "Part name: Servo motor, Usage conditions: Heat resistant."

[0613] Step 5:

[0614] The server receives the quote request and searches the database for the corresponding data. Specifically, it parses the received request data and searches the SQLite database for matching part information. The database retrieves the information "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[0615] Step 6:

[0616] The server performs the cost calculation. Specifically, it calculates the price based on the parts information obtained from the search results. In this case, the price will remain "2000 yen," but in some situations, more complex calculations may be performed. The cost estimate result is "2000 yen."

[0617] Step 7:

[0618] The server sends the calculation result back to the terminal. Specifically, it serializes the calculation result in JSON format and sends it to the mobile terminal as an HTTP response. The output data sent is "Estimated result: 2000 yen".

[0619] Step 8:

[0620] The terminal device receives the calculation result and displays it to the user. Specifically, it deserializes the received JSON data and displays it on the mobile application screen. The user can visually confirm the "Estimated Result: 2000 yen".

[0621] 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.

[0622] The present invention is a system for efficiently verifying the cost of wireless devices, and includes terminal means for inputting usage conditions and price, server means for receiving the usage conditions and price input from the terminal means and storing them in a database, server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations, server means for returning the calculation results to the terminal means, and an emotion engine for recognizing the user's emotions.

[0623] Terminal function

[0624] The user uses a terminal device (e.g., a PC or tablet) to input the usage conditions and price of each component of the wireless device. In this input process, the terminal device uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's facial expressions, voice, input speed, etc., to determine whether the user is feeling stressed or inputting smoothly.

[0625] The emotion engine provides guidance to assist with input when the input process is cumbersome and stressful for the user. For example, if a user is frowning, the emotion engine reduces the user's burden by suggesting simpler, more intuitive input steps and data suggestions.

[0626] Server functionality

[0627] The server receives usage conditions and price data transmitted from the terminal and stores it in a database. When new data is entered, it updates existing data or adds and stores the new data. The server also receives cost calculation requests based on the data, searches for the corresponding data, and performs the calculation.

[0628] The server generates the calculation result and sends it back to the terminal. When the calculation result is sent back, the emotion engine is used again. Depending on the user's reaction, for example, if the user shows a surprised or confused expression, the server sends a notification to the terminal that provides additional explanations or suggests the next action.

[0629] Specific example

[0630] 1. Users enter data using terminal devices.

[0631] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[0632] 2. The terminal device sends data to the server.

[0633] The terminal device sends the input data to the server.

[0634] 3. The server saves the data.

[0635] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[0636] 4. The user creates a calculation request in a spreadsheet.

[0637] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[0638] 5. The server receives and processes the calculation request.

[0639] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[0640] 6. The server generates and returns the calculation results.

[0641] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[0642] 7. The terminal device displays the calculation result.

[0643] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[0644] Thus, this system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[0645] The following describes the processing flow.

[0646] Step 1:

[0647] The user inputs the usage conditions and price of each component of the wireless device using a terminal device. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen." At this time, the terminal device's emotion engine monitors the user's facial expressions and voice to analyze whether the user is experiencing stress.

[0648] Step 2:

[0649] If the emotion engine detects from the user's facial expressions or voice that input is not progressing smoothly, the terminal device will provide assistance to the user. This assistance may take the form of tooltips or guide messages.

[0650] Step 3:

[0651] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[0652] Step 4:

[0653] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server stores this data in a database. When new data is entered, it either updates the existing data or adds it as new data.

[0654] Step 5:

[0655] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into specific cells in the spreadsheet. Throughout this process, the emotion engine monitors the user's emotions and detects signs of stress.

[0656] Step 6:

[0657] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[0658] Step 7:

[0659] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[0660] Step 8:

[0661] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[0662] Step 9:

[0663] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions. The server monitors the request status during the calculation process and logs the results as needed.

[0664] Step 10:

[0665] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[0666] Step 11:

[0667] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method. The server verifies that the result has been transmitted correctly.

[0668] Step 12:

[0669] The terminal device displays the calculation results it receives in a spreadsheet. The user checks the calculation results in the spreadsheet. The emotion engine monitors the user's reactions, and if the user is surprised or confused, the terminal device displays additional explanations or supplementary information.

[0670] Through this process, the system can efficiently calculate the cost of wireless devices while simultaneously recognizing user emotions and providing appropriate support, thereby improving the user experience.

[0671] (Example 2)

[0672] 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".

[0673] Conventional cost calculation systems for wireless devices had the problem of being burdensome for users due to the cumbersome input of usage conditions and prices. Furthermore, while the server received data and performed cost calculations, it did not take into account user sentiment or input circumstances, resulting in an unintuitive operation. As a result, users often spent a lot of time inputting data and creating calculation requests, leading to a decrease in overall work efficiency.

[0674] 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.

[0675] In this invention, the server includes input means, means for storing data in a database, means for receiving calculation requests and performing cost calculations, means for returning calculation results, and user interface means including an emotion engine that recognizes user emotions and supports input. This makes operation intuitive and smooth, reduces the burden on the user, and improves overall work efficiency.

[0676] An "input method" refers to a hardware or software interface for a user to input information such as usage conditions and pricing.

[0677] "Server means" refers to a network server and its related systems for receiving data transmitted from input means, storing it, performing cost calculations, and returning the results.

[0678] A "database" is a system used to store and manage data received by a server, and includes relational database management systems (RDBMS).

[0679] A "calculation request" refers to data or instructions that a user uses to request a server to perform a calculation.

[0680] "Cost calculation" is the process of calculating the cost of the radio equipment's components and the overall cost based on the entered usage conditions and price information.

[0681] "Calculation results" refer to the output data after the server performs cost calculations, and include cost information for individual components and the overall cost.

[0682] An "emotion engine" is a software or hardware system that recognizes a user's emotional state based on their facial expressions, voice, input speed, etc., and provides appropriate support.

[0683] "User interface means" refers to the interface through which a user accesses the system, and encompasses the entire operating system, including input means and emotion engine.

[0684] "Spreadsheet software" refers to software used by users to input data and generate calculation requests, and includes spreadsheet tools.

[0685] "Stress" refers to the burden and fatigue that users experience during the input and operation process.

[0686] The present invention is a system for efficiently calculating the cost of wireless devices, and includes the following main components: input means, server means, database, emotion engine, and user interface means.

[0687] 1. Input method

[0688] Users input usage conditions and prices for each component of a wireless device using a device such as a PC or tablet. Spreadsheet software (e.g., Excel or Google Sheets) is used for input. Users enter information such as "antenna, waterproof, shockproof, 1000 yen" into the input form. In this input process, the user interface uses an emotion engine to recognize the user's emotions.

[0689] 2. Emotional Engine

[0690] The emotion engine analyzes the user's facial expressions, voice, and input speed to determine whether the user is experiencing stress or inputting smoothly. This analysis utilizes facial recognition software such as OpenFace and DeepFace, as well as IBM Watson Tone Analyzer. If the user is experiencing stress, the emotion engine reduces the user's burden by suggesting simpler and more intuitive input procedures and data options.

[0691] 3. Server means

[0692] The server receives usage conditions and price data sent from the input and stores it in a database. Relational databases such as MySQL or PostgreSQL are used for this purpose. When new data is entered, the server updates existing data or appends the new data. In addition, the server receives calculation requests, retrieves the corresponding data from the database, and performs cost calculations. Python libraries such as NumPy and Pandas are used for these calculations.

[0693] 4. Return of calculation results and feedback

[0694] The server generates the calculation results and sends them back to the terminal. When the terminal receives the calculation results, the emotion engine analyzes the user's emotions again and provides appropriate feedback. For example, if the user shows a surprised or confused expression, the server sends a notification to the terminal with additional explanations or suggestions for the next action.

[0695] Specific example

[0696] 1. Users enter data using terminal devices.

[0697] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[0698] 2. The terminal device sends data to the server.

[0699] The terminal device sends the input data to the server.

[0700] 3. The server saves the data.

[0701] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[0702] 4. The user creates a calculation request in a spreadsheet.

[0703] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[0704] 5. The server receives and processes the calculation request.

[0705] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[0706] 6. The server generates and returns the calculation results.

[0707] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[0708] 7. The terminal device displays the calculation result.

[0709] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[0710] Example of a prompt

[0711] "If a user is hesitant to input 'waterproofing,' the emotion engine provides simple guidance. Specifically, if a user frowns and stops typing, the system will suggest options such as 'Please select a specific waterproofing standard.'"

[0712] "When a user creates a calculation request, the sentiment engine analyzes the user's emotions and provides support. Specifically, if the user indicates confusion, the server will send a suggestion such as, 'Would you like to use a calculation request template?'"

[0713] "The emotion engine provides additional explanations based on the user's reaction to the calculation results. For example, if the user shows a surprised expression, the system will display a message such as, 'Would you like to see more details about this unexpected result?'"

[0714] This system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[0715] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0716] Step 1:

[0717] The user enters the usage conditions and price of the radio equipment using an input device (PC or tablet).

[0718] In terms of specific operations, the user opens spreadsheet software (e.g., Excel or Google Sheets) and enters data such as "antenna, waterproof, shockproof, 1000 yen". The entered data is saved in the spreadsheet software's cells. Based on the input, the data is temporarily stored in the memory of the input device.

[0719] Step 2:

[0720] The emotion engine analyzes the user's emotions and supports their input.

[0721] In terms of specific operations, the emotion engine captures the user's facial expressions with a webcam, collects audio with a microphone, and measures input speed. For example, if the user is frowning or inputting slowly, the emotion engine determines that the user is stressed. OpenFace, DeepFace, and IBM Watson Tone Analyzer are used for this analysis. Based on the analysis results, the emotion engine displays guidance on the screen, such as "Please select specific criteria for water resistance." The input is processed by the emotion engine's algorithm, and guidance is generated as output.

[0722] Step 3:

[0723] The terminal sends the input data to the server.

[0724] In terms of specific operations, once the user has finished entering the information, the terminal clicks the "Send" button. This action sends the entered data ("Antenna, Waterproof, Shockproof, 1000 yen") to the server via the terminal's network interface. The input data is sent to the server in the form of an HTTP request or similar. The server receives this request and parses the data. The input is sent from the user's terminal and received by the server.

[0725] Step 4:

[0726] The server saves the data to the database.

[0727] In terms of specific operations, the server parses the received data and stores it as structured data in a MySQL or PostgreSQL database. The process is as follows:

[0728] If existing data exists, use the "UPDATE" query to update it.

[0729] If no existing data exists, use an "INSERT" query to save new data.

[0730] The input data is received by the server and processed into a format that can be stored in the database. The output is the data entry stored in the database.

[0731] Step 5:

[0732] The user creates a calculation request and sends it to the server.

[0733] In terms of specific operations, the user creates a calculation request in spreadsheet software. They input the "calculation request" into a cell and send it to the server. The emotion engine analyzes the user's emotions, and if the user is confused, it displays a suggestion on the screen such as "Would you like to use a calculation request template?". Input is sent from the user's terminal and received by the server.

[0734] Step 6:

[0735] The server receives and processes the calculation request.

[0736] In terms of operation, when the server receives a calculation request, it searches the database for the corresponding data and performs the cost calculation. SQL queries are used for the search process, and NumPy or Pandas libraries are used for the calculation process. For example, a query like "SELECT FROM database WHERE component name = 'antenna'" is executed, and calculations are performed based on the retrieved data. The input is the calculation request received by the server, and the output is the calculation result.

[0737] Step 7:

[0738] The server generates the calculation result and sends it back to the terminal.

[0739] In terms of specific operation, the server generates a calculation result and sends it back to the terminal. The calculation result includes information such as "Total cost: 3000 yen". The generated calculation result is sent to the terminal in the form of an HTTP response or similar. The input is the result of the server's calculation process, and the output is the calculation result sent back to the terminal.

[0740] Step 8:

[0741] The device displays the calculation results, and the emotion engine checks the user's reaction.

[0742] In terms of specific operation, the terminal displays the calculation result in spreadsheet software for the user to review. The emotion engine then checks the user's facial expressions and voice again, and if the user shows a surprised expression, for example, it provides additional information such as, "Would you like to see the detailed calculation steps?" The input is the calculation result displayed on the terminal, and the output is additional information and hints based on the user's reaction.

[0743] Through the above processing steps, the cost calculation of wireless devices is performed efficiently and intuitively, reducing the burden on users and improving overall work efficiency.

[0744] (Application Example 2)

[0745] 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."

[0746] Conventional factory robot production cost calculation systems required users to manually input vast amounts of data, resulting in cumbersome data entry and complex calculations. Furthermore, the systems unilaterally collected and calculated data without considering user emotions or reactions, leading to poor usability and hindering efficient work. Additionally, a lack of feedback to help users understand the calculation results could lead to misunderstandings and confusion.

[0747] 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.

[0748] In this invention, the server includes an input means for inputting usage conditions and prices; a storage means for receiving the usage conditions and prices input from the input means and storing them in a database; a calculation means for receiving a calculation request from the input means, searching for the corresponding data in the database, and performing a cost calculation; a transmission means for returning the calculation results to the input means; an emotion recognition means for recognizing the user's emotions by analyzing facial expressions, voice, and input speed; and a support means for analyzing the user's emotions using the emotion recognition means and providing input assistance according to the user's state. This enables the user to input data efficiently and perform cost calculations smoothly while reducing complexity and stress. Furthermore, transparency and usability can be improved by providing feedback to help the user understand the calculation results.

[0749] "Input method" refers to a device or interface used by the user to input usage conditions and price.

[0750] "Storage means" refers to a device or server that has the function of receiving data transmitted from input means and storing it in a database.

[0751] "Calculation means" refers to devices or servers that have the function of performing cost calculations based on data stored in a database.

[0752] "Transmission means" refers to a device or server that has the function of sending the calculation results obtained by the calculation means back to the input means.

[0753] "Emotion recognition means" refers to functions and systems that analyze the user's facial expressions, voice, and input speed to recognize the user's emotions.

[0754] "Support measures" refer to functions or systems that provide assistance with input appropriate to the user's state based on the user's emotions analyzed by emotion recognition measures.

[0755] The present invention is a system for efficiently calculating the production costs of factory robots, and includes data input by input means, database management by storage means, cost calculation by calculation means, result notification by transmission means, emotion recognition, and user support by support means. The system is implemented as follows.

[0756] System Program Overview

[0757] The system is developed using Python. SQLite is used as the database management system to store and manage data entered by users. Users enter usage conditions and prices through input devices (e.g., PCs or tablets), and this data is recorded in the database by the storage device.

[0758] The calculation system receives calculation requests from users, searches the database for data, and performs cost calculations. The calculation system then sends the calculation results back to the user via the transmission system. This allows users to quickly understand the total cost based on the information they entered.

[0759] emotion recognition means

[0760] Emotion recognition methods recognize a user's emotions by analyzing facial expressions, voice, and input speed. For example, they use facial recognition APIs (such as Google Cloud Vision API or Microsoft Azure Emotion API) or speech recognition APIs to determine if the user is stressed or confused.

[0761] Support means

[0762] The support system provides appropriate input assistance and feedback based on the user's emotional information obtained through the emotion recognition system. If the user shows confusion or stress during input, the system presents guidance and candidate data. If the user shows surprise or confusion when receiving feedback on calculation results, the system provides additional explanations and supplementary information.

[0763] Specific example

[0764] If a user wants to calculate the production cost of a factory robot's motor, they would follow these steps: First, the user uses the input device to enter the component name "motor," usage conditions "high temperature resistant, long lifespan," and price "5000 yen." During input, an emotion recognition device monitors the user's facial expressions and input speed, and if confusion or stress is detected, the support device provides guidance to the user.

[0765] Next, the calculation unit stores the input data in the storage unit and receives the calculation request. The calculation unit searches the database for relevant data and calculates the total cost. The calculation result is returned to the user through the transmission unit. If the user is surprised or confused by the result, the support unit provides additional explanations.

[0766] Example of a prompt

[0767] The user enters the following component information to calculate the production cost of the factory robot:

[0768] Component name: Motor

[0769] Usage conditions: High temperature resistant, long lifespan

[0770] Price: 5000 yen

[0771] The emotion engine should analyze the user's emotions based on facial and voice recognition, and provide guidance if it detects stress or confusion. Additionally, when the total cost calculation is presented, provide appropriate additional information for expressions of surprise or confusion.

[0772] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0773] Step 1:

[0774] The user enters component information (e.g., component name, usage conditions, price) using an input device. This information is entered into a form on the user's PC or tablet. During this process, the terminal device uses facial recognition APIs and speech recognition APIs to recognize the user's emotions, and if stress or confusion is detected, the terminal immediately provides guidance.

[0775] Input: Component information (component name, usage conditions, price), user facial expressions and voice data

[0776] Output: User input data, emotion recognition results

[0777] Step 2:

[0778] The terminal device sends input data to the server. The input data is sent to the server in real time, and the server receives the data. This process is carried out via communication means such as the internet.

[0779] Input: User input data

[0780] Output: Data sent to the server

[0781] Step 3:

[0782] The server saves the received data to the database. When new data is entered, existing data is updated or new records are added. The server verifies that the data has been saved successfully.

[0783] Input: Submitted input data

[0784] Output: Data stored in the database

[0785] Step 4:

[0786] The user generates a calculation request and sends it from the terminal to the server. The user creates the calculation request using spreadsheet software or similar on the terminal and sends it to the server. The emotion engine then re-analyzes the user's emotions and supports the creation of an appropriate request.

[0787] Input: Calculation request, user facial expressions, and voice data

[0788] Output: Calculation request sent to the server, emotion recognition result

[0789] Step 5:

[0790] The server receives a calculation request and searches the database for the corresponding data. The server uses a calculation tool to extract the relevant data from the database and perform cost calculations. The calculation tool uses a specific algorithm to determine the total cost based on the input conditions.

[0791] Input: Compute request sent to the server, data in the database

[0792] Output: Calculation result

[0793] Step 6:

[0794] The server returns the calculation results to the terminal. An emotion recognition system analyzes the user's emotions upon receiving the calculation results, and a support system provides additional explanations and feedback based on the user's response.

[0795] Input: Calculation result, user's facial expression and voice data

[0796] Output: Calculation results and feedback sent to the user

[0797] Step 7:

[0798] The device displays the calculation results, which the user then reviews. The user's emotions are analyzed again, and further support is provided by displaying supplementary information and hints as needed.

[0799] Input: Calculation results sent from the server, user's facial expressions, and voice data.

[0800] Output: Displayed calculation results, additional explanations and hints

[0801] 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.

[0802] 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.

[0803] 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.

[0804] [Third Embodiment]

[0805] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0806] 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.

[0807] 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).

[0808] 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.

[0809] 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.

[0810] 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).

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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".

[0817] The present invention is a system for efficiently verifying the cost of wireless devices, and includes the following elements: a terminal means for inputting usage conditions and price; a server means for receiving the usage conditions and price input from the terminal means and storing them in a database; a server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations; and a server means for returning the calculation results to the terminal means. Specifically, this system operates as follows.

[0818] Terminal function

[0819] Users input usage conditions and prices for each component of the wireless device using a terminal device (e.g., a PC or tablet). The terminal device transmits the entered data to the server device. Users can intuitively manage and input data using spreadsheets (e.g., Excel or Google Sheets).

[0820] Server functionality

[0821] The server is responsible for storing the usage conditions and prices received from the terminal in a database. When new data is entered, the server either updates the existing data or adds it as new data. This ensures data consistency and up-to-dateness.

[0822] When a user submits a calculation request, the server receives it and retrieves the corresponding data from the database. The server performs cost calculations based on the stored data. Once the calculation results are generated, the server sends them back to the terminal.

[0823] Specific example

[0824] The following are some specific examples.

[0825] 1. Users enter data using terminal devices.

[0826] The user enters the usage conditions for the antenna part, "waterproof and shockproof," and the price, "1000 yen," via their terminal.

[0827] 2. The terminal device sends data to the server.

[0828] The terminal device transmits this data to the server device.

[0829] 3. The server saves the data.

[0830] The server method stores "antenna, waterproof, shockproof, 1000 yen" in its database.

[0831] 4. The user creates a calculation request in a spreadsheet.

[0832] The user uses a spreadsheet to generate calculation requests and send them to the server.

[0833] 5. The server receives and processes the calculation request.

[0834] The server receives a calculation request, searches the database for the corresponding data "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[0835] 6. The server generates and returns the calculation results.

[0836] The server generates the calculation result (for example, a total cost of 1000 yen) and sends it back to the terminal.

[0837] 7. The terminal device displays the calculation result.

[0838] The terminal device displays the received calculation results in a spreadsheet, which the user then reviews.

[0839] In this way, this system streamlines the verification of specific specifications and data entry for wireless devices, allowing users to easily check costs. Furthermore, the central role of the server enables integrated data management and automated calculations. This significantly improves ease of operation and efficiency.

[0840] The following describes the processing flow.

[0841] Step 1:

[0842] The user inputs the usage conditions and price of each component of the wireless device using a terminal. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen".

[0843] Step 2:

[0844] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[0845] Step 3:

[0846] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server then stores this data in a database.

[0847] Step 4:

[0848] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into a specific cell in the spreadsheet.

[0849] Step 5:

[0850] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[0851] Step 6:

[0852] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[0853] Step 7:

[0854] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[0855] Step 8:

[0856] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions.

[0857] Step 9:

[0858] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[0859] Step 10:

[0860] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method.

[0861] Step 11:

[0862] The terminal device displays the calculation results it receives in a spreadsheet. The user reviews the calculation results in the spreadsheet and makes necessary decisions based on them.

[0863] (Example 1)

[0864] 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."

[0865] Conventional cost management systems for wireless equipment suffered from inefficiency due to the cumbersome process of inputting usage conditions and prices for each component, requiring users to manually organize and calculate data. Furthermore, maintaining data consistency was difficult, and accurate cost calculations based on the latest data were required. Additionally, a system capable of quickly displaying calculation results was needed.

[0866] 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.

[0867] In this invention, the server includes an information terminal means for inputting usage conditions and prices; a computer means for receiving the usage conditions and prices input from the information terminal means and storing them in a database; a computer means for receiving a calculation request from the information terminal means, searching for the corresponding data in the database, and performing a cost calculation; and a computer means for returning the calculation results to the information terminal means. This makes it possible for users to easily check the cost of wireless devices while maintaining data consistency and up-to-dateness.

[0868] "Operating conditions" refer to specific performance and environmental requirements that each component of a radio device must meet.

[0869] "Price" refers to the monetary value assigned to each component of a radio.

[0870] An "information terminal device" is a device used by a user to input usage conditions and prices and transmit them to a server; this includes PCs and tablets.

[0871] "Computing means" refers to a device that includes a system or program for storing received data in a database, processing calculation requests, and performing cost calculations.

[0872] A "database" is a structured collection of information used by computing devices to efficiently store and manage data such as usage conditions and prices.

[0873] A "calculation request" is a request sent from an information terminal to a server to perform cost calculations based on specific data.

[0874] "Cost calculation" is the process of calculating the total cost of a radio based on usage conditions and price data.

[0875] "Calculation result" refers to the final output of the cost calculation performed based on the calculation request.

[0876] This invention relates to a system for efficiently verifying the cost of wireless equipment, and includes an information terminal for inputting usage conditions and prices, and a server that receives this information, stores it in a database, and processes calculation requests. This system is designed to allow users to intuitively input usage conditions and prices and to quickly perform cost calculations based on that information.

[0877] Device functions

[0878] Users input usage conditions and prices for each component of the wireless equipment using information terminals such as PCs and tablets. Specifically, they input and manage data using spreadsheet software such as Excel or Google Sheets. By inputting data into a spreadsheet, users can intuitively manipulate the data. The entered data is converted into a data format such as JSON and sent to the server using the HTTP or HTTPS protocol.

[0879] Server Functions

[0880] The server receives usage conditions and price data transmitted from the information terminal and stores it in the database. During this process, data validation is performed to confirm the correctness of the data format. Relational databases such as MySQL and PostgreSQL are commonly used as the storage database. When new data is transmitted, the server either updates the existing data or adds it as new data.

[0881] When a user sends a calculation request from their information terminal, the server receives it and searches the database for the corresponding data. The server then performs cost calculations based on the retrieved data. Programming languages ​​such as Python and Node.js are used for the calculation process. Once the calculation results are generated, the server converts them into JSON format and sends them back to the information terminal.

[0882] Specific example

[0883] Next, I will show some specific examples of its use.

[0884] 1. The user enters data on the terminal.

[0885] The user uses a PC to enter the price of a waterproof and shockproof antenna, "1000 yen," into a spreadsheet.

[0886] 2. The device sends data to the server.

[0887] The device reads data from the spreadsheet, converts it to JSON format, and sends it to the server using an HTTP POST request.

[0888] 3. The server saves the data.

[0889] The server parses the received JSON data and saves it to the database. For example, it executes a query like this:

[0890] sql

[0891] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[0892] 4. The user creates a calculation request in a spreadsheet.

[0893] The user creates a new spreadsheet and makes a request to calculate the cost of the "antenna". For example, enter the following into a cell:

[0894] =REQUEST_COST("antenna")

[0895] 5. The server receives and processes the calculation request.

[0896] The server receives the request and retrieves the relevant data from the database. For example, it executes a query such as "SELECT FROM Component_Info WHERE Component = 'Antenna';". Based on the retrieved data, it performs cost calculations.

[0897] 6. The server generates and returns the calculation results.

[0898] The server generates the calculation result and returns JSON data like this:

[0899] json

[0900] {

[0901] "Component": "Antenna",

[0902] Total cost: 1000

[0903] }

[0904] 7. The device displays the calculation result.

[0905] The device parses the returned JSON data and displays "Total Cost: 1000 yen" in the appropriate cell of the spreadsheet.

[0906] Example of a prompt

[0907] The following prompts are used as example inputs to the generative AI model:

[0908] Prompt message:

[0909] Design a system that calculates the cost of a radio transceiver by inputting the usage conditions and prices of each component. This system should include the user entering data in a spreadsheet, sending it to a server, the server storing the data, receiving and processing calculation requests, and returning the calculation results to the user. Please explain the specific data exchange flow.

[0910] By clearly defining the operation of the entire system in this way, users can easily and efficiently check the cost of wireless devices. Furthermore, the collaboration between the terminal and the server allows for the automation of cost calculations while maintaining data consistency and up-to-dateness.

[0911] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0912] Step 1:

[0913] Users use PCs or tablets to input usage conditions and prices for each component of their wireless equipment into a spreadsheet. For example, a user might enter the price of a waterproof and shock-resistant antenna, "1000 yen," into a cell in Excel or Google Sheets. This input data is then converted into a format that can be organized within the spreadsheet.

[0914] Step 2:

[0915] The terminal converts the entered spreadsheet data into JSON format and sends it to the server using the HTTP or HTTPS protocol. Specifically, it generates JSON data like the following:

[0916] json

[0917] {

[0918] "Component": "Antenna",

[0919] "Usage conditions": ["Waterproof", "Shockproof"]

[0920] "Price": 1000

[0921] }

[0922] This is sent as an HTTP POST request, and the server receives the request.

[0923] Step 3:

[0924] The server parses the received JSON data and verifies the validity of the data format. Data that passes validation is saved to the database. For example, the following SQL query is executed to save the data:

[0925] sql

[0926] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[0927] If the saving process is successful, the input data will be added to the database.

[0928] Step 4:

[0929] The user creates a calculation request within the spreadsheet and sends it from their device to the server. For example, the user might enter the following into a cell in the spreadsheet:

[0930] =REQUEST_COST("antenna")

[0931] This is converted to JSON format and sent back to the server as an HTTP POST request.

[0932] Step 5:

[0933] The server receives the calculation request and searches for the corresponding data in the database. For example, it executes the following SQL query:

[0934] sql

[0935] SELECT FROM Component_Info WHERE Component = 'Antenna';

[0936] Cost calculations are performed based on the acquired data. Programming languages ​​such as Python and Node.js are used for the calculation process.

[0937] Step 6:

[0938] The server generates the cost calculation result, converts it to JSON format, and sends it back to the terminal. For example, the following calculation result might be returned:

[0939] json

[0940] {

[0941] "Component": "Antenna",

[0942] Total cost: 1000

[0943] }

[0944] This data will be returned as an HTTP response.

[0945] Step 7:

[0946] The terminal parses the received JSON data and displays the calculation result in the appropriate cell in the spreadsheet. The user can then see "Total Cost: 1000 yen" on the spreadsheet. This allows the user to quickly verify the cost of the entered materials.

[0947] (Application Example 1)

[0948] 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."

[0949] Conventional wireless cost verification systems efficiently manage input data and provide calculation results quickly, but they were not specialized for cost estimation of robot parts within a factory. Therefore, it was difficult for factory managers to input the usage conditions and prices of robot parts and immediately estimate costs. Furthermore, while rapid on-site response using smart devices is required, existing systems lacked the appropriate mechanisms to achieve this.

[0950] 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.

[0951] In this invention, the server includes terminal means for inputting usage conditions and price, server means for receiving usage conditions and price input from the terminal means and storing them in a database, server means for receiving a calculation request from the terminal means, searching for the corresponding data in the database and performing a cost calculation, server means for returning the calculation result to the terminal means, mobile terminal means for running an application for estimating the cost of robot parts in a factory, means for inputting part information, usage conditions, and price using the mobile terminal means, means for the server means to receive an estimate request, search for the corresponding part data in the database and perform a cost estimate, and means for displaying the estimate result on the mobile terminal means.

[0952] This will enable factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[0953] "Usage conditions" refer to the specifications and characteristics of how a part or component is used in a particular situation or environment.

[0954] "Price" is a numerical value that indicates the monetary value assigned to a part or component.

[0955] "Terminal means" refers to electronic devices used by a user to input or receive data.

[0956] A "server system" is a computer system used for storing, retrieving, and calculating data, and for communicating with terminal systems.

[0957] A "database" is an information aggregation system that systematically stores and manages multiple data points, making them easily searchable.

[0958] A "calculation request" is an operation in which a user asks a server to perform a calculation based on specific data or conditions.

[0959] "Cost calculation" is the process of calculating total costs or estimates based on the usage conditions and prices of parts and materials.

[0960] "Robot parts in a factory" refers to components of automated machinery used in a factory.

[0961] A "mobile terminal means" is a portable electronic device used to run a cost estimation application for robot parts.

[0962] "Part information" refers to detailed specifications and data about a specific part, including dimensions, material, and usage conditions.

[0963] A "quote request" is a request to the server to provide a cost estimate.

[0964] "Estimated results" refer to the predicted cost information generated after the server performs cost calculations.

[0965] This invention is a system for estimating the cost of robot parts in a factory, and includes the following elements.

[0966] Terminal function

[0967] Users input part information, usage conditions, and prices using mobile terminals (e.g., smartphones or tablets) within the factory. A mobile application is used as the user interface, allowing for intuitive operation.

[0968] Server functionality

[0969] The server has the following functions:

[0970] 1. Data Reception and Storage: Receive usage conditions and prices entered from the terminal device and store them in the database. When new data is entered, update existing data or add and save it as new data.

[0971] 2. Processing of calculation requests: When a user submits a quote request, the server receives it, retrieves the data for the corresponding parts from the database, and performs the cost calculation.

[0972] 3. Return of results: Once the calculation results are generated, the server means returns the results to the terminal means, and the terminal means displays them.

[0973] Hardware and software to be used

[0974] Hardware: Mobile devices (smartphones and tablets), servers

[0975] Software: Mobile applications (developed with React Native), server applications (developed with Python Flask), databases (SQLite)

[0976] Data processing and data calculation

[0977] The server performs the following data processing and calculations:

[0978] 1. Receive component information, usage conditions, and price transmitted from the terminal device and store them in the database.

[0979] 2. When a calculation request occurs, the system searches the database for the relevant data and performs the cost calculation.

[0980] 3. Generate the calculation result and return the result to the terminal device.

[0981] Specific example

[0982] For example, if a factory manager wants to estimate the cost of a robot's servo motor, the following steps would be taken:

[0983] 1. Enter "servo motor, heat resistant, 2000 yen" into the mobile app.

[0984] 2. Submit a quote request.

[0985] 3. The server retrieves the relevant information from the database and performs cost calculation.

[0986] 4. The obtained estimate of "2000 yen" is sent back to the terminal device.

[0987] 5. The user checks the results on a mobile device.

[0988] Thus, the present invention enables factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[0989] Example of a prompt

[0990] Examples of prompt statements to use are as follows:

[0991] Enter the servo motor part information and check the quote.

[0992] Part name: Servo motor

[0993] Usage conditions: Heat resistant

[0994] Price: 2000 yen

[0995] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0996] Step 1:

[0997] The user inputs part information, usage conditions, and price using a mobile device. Specifically, they open the mobile application and enter "Servo motor" in the "Part name" field, "Heat resistant" in the "Usage conditions" field, and "2000 yen" in the "Price" field. The input data is converted to the appropriate format within the application and sent to the server.

[0998] Step 2:

[0999] The terminal device sends input data to the server device. Specifically, the input data is serialized in JSON format and sent as an HTTP POST request to a specific endpoint on the server device. The input sent is "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[1000] Step 3:

[1001] The server receives input data and saves it to the database. Specifically, it deserializes the received JSON data and saves it as a new record in the SQLite database. If existing data exists, it is updated; otherwise, a new record is added. The database stores "part name, usage conditions, and price".

[1002] Step 4:

[1003] The user generates a cost estimate request using a mobile device and sends it to the server. Specifically, the user presses the estimate request button in the mobile application, enters the "part name" and "usage conditions," and submits the request. The input data would be "Part name: Servo motor, Usage conditions: Heat resistant."

[1004] Step 5:

[1005] The server receives the quote request and searches the database for the corresponding data. Specifically, it parses the received request data and searches the SQLite database for matching part information. The database retrieves the information "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[1006] Step 6:

[1007] The server performs the cost calculation. Specifically, it calculates the price based on the parts information obtained from the search results. In this case, the price will remain "2000 yen," but in some situations, more complex calculations may be performed. The cost estimate result is "2000 yen."

[1008] Step 7:

[1009] The server sends the calculation result back to the terminal. Specifically, it serializes the calculation result in JSON format and sends it to the mobile terminal as an HTTP response. The output data sent is "Estimated result: 2000 yen".

[1010] Step 8:

[1011] The terminal device receives the calculation result and displays it to the user. Specifically, it deserializes the received JSON data and displays it on the mobile application screen. The user can visually confirm the "Estimated Result: 2000 yen".

[1012] 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.

[1013] The present invention is a system for efficiently verifying the cost of wireless devices, and includes terminal means for inputting usage conditions and price, server means for receiving the usage conditions and price input from the terminal means and storing them in a database, server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations, server means for returning the calculation results to the terminal means, and an emotion engine for recognizing the user's emotions.

[1014] Terminal function

[1015] The user uses a terminal device (e.g., a PC or tablet) to input the usage conditions and price of each component of the wireless device. In this input process, the terminal device uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's facial expressions, voice, input speed, etc., to determine whether the user is feeling stressed or inputting smoothly.

[1016] The emotion engine provides guidance to assist with input when the input process is cumbersome and stressful for the user. For example, if a user is frowning, the emotion engine reduces the user's burden by suggesting simpler, more intuitive input steps and data suggestions.

[1017] Server functionality

[1018] The server receives usage conditions and price data transmitted from the terminal and stores it in a database. When new data is entered, it updates existing data or adds and stores the new data. The server also receives cost calculation requests based on the data, searches for the corresponding data, and performs the calculation.

[1019] The server generates the calculation result and sends it back to the terminal. When the calculation result is sent back, the emotion engine is used again. Depending on the user's reaction, for example, if the user shows a surprised or confused expression, the server sends a notification to the terminal that provides additional explanations or suggests the next action.

[1020] Specific example

[1021] 1. Users enter data using terminal devices.

[1022] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[1023] 2. The terminal device sends data to the server.

[1024] The terminal device sends the input data to the server.

[1025] 3. The server saves the data.

[1026] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[1027] 4. The user creates a calculation request in a spreadsheet.

[1028] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[1029] 5. The server receives and processes the calculation request.

[1030] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[1031] 6. The server generates and returns the calculation results.

[1032] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[1033] 7. The terminal device displays the calculation result.

[1034] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[1035] Thus, this system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[1036] The following describes the processing flow.

[1037] Step 1:

[1038] The user inputs the usage conditions and price of each component of the wireless device using a terminal device. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen." At this time, the terminal device's emotion engine monitors the user's facial expressions and voice to analyze whether the user is experiencing stress.

[1039] Step 2:

[1040] If the emotion engine detects from the user's facial expressions or voice that input is not progressing smoothly, the terminal device will provide assistance to the user. This assistance may take the form of tooltips or guide messages.

[1041] Step 3:

[1042] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[1043] Step 4:

[1044] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server stores this data in a database. When new data is entered, it either updates the existing data or adds it as new data.

[1045] Step 5:

[1046] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into specific cells in the spreadsheet. Throughout this process, the emotion engine monitors the user's emotions and detects signs of stress.

[1047] Step 6:

[1048] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[1049] Step 7:

[1050] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[1051] Step 8:

[1052] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[1053] Step 9:

[1054] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions. The server monitors the request status during the calculation process and logs the results as needed.

[1055] Step 10:

[1056] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[1057] Step 11:

[1058] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method. The server verifies that the result has been transmitted correctly.

[1059] Step 12:

[1060] The terminal device displays the calculation results it receives in a spreadsheet. The user checks the calculation results in the spreadsheet. The emotion engine monitors the user's reactions, and if the user is surprised or confused, the terminal device displays additional explanations or supplementary information.

[1061] Through this process, the system can efficiently calculate the cost of wireless devices while simultaneously recognizing user emotions and providing appropriate support, thereby improving the user experience.

[1062] (Example 2)

[1063] 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."

[1064] Conventional cost calculation systems for wireless devices had the problem of being burdensome for users due to the cumbersome input of usage conditions and prices. Furthermore, while the server received data and performed cost calculations, it did not take into account user sentiment or input circumstances, resulting in an unintuitive operation. As a result, users often spent a lot of time inputting data and creating calculation requests, leading to a decrease in overall work efficiency.

[1065] 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.

[1066] In this invention, the server includes input means, means for storing data in a database, means for receiving calculation requests and performing cost calculations, means for returning calculation results, and user interface means including an emotion engine that recognizes user emotions and supports input. This makes operation intuitive and smooth, reduces the burden on the user, and improves overall work efficiency.

[1067] An "input method" refers to a hardware or software interface for a user to input information such as usage conditions and pricing.

[1068] "Server means" refers to a network server and its related systems for receiving data transmitted from input means, storing it, performing cost calculations, and returning the results.

[1069] A "database" is a system used to store and manage data received by a server, and includes relational database management systems (RDBMS).

[1070] A "calculation request" refers to data or instructions that a user uses to request a server to perform a calculation.

[1071] "Cost calculation" is the process of calculating the cost of the radio equipment's components and the overall cost based on the entered usage conditions and price information.

[1072] "Calculation results" refer to the output data after the server performs cost calculations, and include cost information for individual components and the overall cost.

[1073] An "emotion engine" is a software or hardware system that recognizes a user's emotional state based on their facial expressions, voice, input speed, etc., and provides appropriate support.

[1074] "User interface means" refers to the interface through which a user accesses the system, and encompasses the entire operating system, including input means and emotion engine.

[1075] "Spreadsheet software" refers to software used by users to input data and generate calculation requests, and includes spreadsheet tools.

[1076] "Stress" refers to the burden and fatigue that users experience during the input and operation process.

[1077] The present invention is a system for efficiently calculating the cost of wireless devices, and includes the following main components: input means, server means, database, emotion engine, and user interface means.

[1078] 1. Input method

[1079] Users input usage conditions and prices for each component of a wireless device using a device such as a PC or tablet. Spreadsheet software (e.g., Excel or Google Sheets) is used for input. Users enter information such as "antenna, waterproof, shockproof, 1000 yen" into the input form. In this input process, the user interface uses an emotion engine to recognize the user's emotions.

[1080] 2. Emotional Engine

[1081] The emotion engine analyzes the user's facial expressions, voice, and input speed to determine whether the user is experiencing stress or inputting smoothly. This analysis utilizes facial recognition software such as OpenFace and DeepFace, as well as IBM Watson Tone Analyzer. If the user is experiencing stress, the emotion engine reduces the user's burden by suggesting simpler and more intuitive input procedures and data options.

[1082] 3. Server means

[1083] The server receives usage conditions and price data sent from the input and stores it in a database. Relational databases such as MySQL or PostgreSQL are used for this purpose. When new data is entered, the server updates existing data or appends the new data. In addition, the server receives calculation requests, retrieves the corresponding data from the database, and performs cost calculations. Python libraries such as NumPy and Pandas are used for these calculations.

[1084] 4. Return of calculation results and feedback

[1085] The server generates the calculation results and sends them back to the terminal. When the terminal receives the calculation results, the emotion engine analyzes the user's emotions again and provides appropriate feedback. For example, if the user shows a surprised or confused expression, the server sends a notification to the terminal with additional explanations or suggestions for the next action.

[1086] Specific example

[1087] 1. Users enter data using terminal devices.

[1088] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[1089] 2. The terminal device sends data to the server.

[1090] The terminal device sends the input data to the server.

[1091] 3. The server saves the data.

[1092] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[1093] 4. The user creates a calculation request in a spreadsheet.

[1094] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[1095] 5. The server receives and processes the calculation request.

[1096] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[1097] 6. The server generates and returns the calculation results.

[1098] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[1099] 7. The terminal device displays the calculation result.

[1100] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[1101] Example of a prompt

[1102] "If a user is hesitant to input 'waterproofing,' the emotion engine provides simple guidance. Specifically, if a user frowns and stops typing, the system will suggest options such as 'Please select a specific waterproofing standard.'"

[1103] "When a user creates a calculation request, the sentiment engine analyzes the user's emotions and provides support. Specifically, if the user indicates confusion, the server will send a suggestion such as, 'Would you like to use a calculation request template?'"

[1104] "The emotion engine provides additional explanations based on the user's reaction to the calculation results. For example, if the user shows a surprised expression, the system will display a message such as, 'Would you like to see more details about this unexpected result?'"

[1105] This system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[1106] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1107] Step 1:

[1108] The user enters the usage conditions and price of the radio equipment using an input device (PC or tablet).

[1109] In terms of specific operations, the user opens spreadsheet software (e.g., Excel or Google Sheets) and enters data such as "antenna, waterproof, shockproof, 1000 yen". The entered data is saved in the spreadsheet software's cells. Based on the input, the data is temporarily stored in the memory of the input device.

[1110] Step 2:

[1111] The emotion engine analyzes the user's emotions and supports their input.

[1112] In terms of specific operations, the emotion engine captures the user's facial expressions with a webcam, collects audio with a microphone, and measures input speed. For example, if the user is frowning or inputting slowly, the emotion engine determines that the user is stressed. OpenFace, DeepFace, and IBM Watson Tone Analyzer are used for this analysis. Based on the analysis results, the emotion engine displays guidance on the screen, such as "Please select specific criteria for water resistance." The input is processed by the emotion engine's algorithm, and guidance is generated as output.

[1113] Step 3:

[1114] The terminal sends the input data to the server.

[1115] In terms of specific operations, once the user has finished entering the information, the terminal clicks the "Send" button. This action sends the entered data ("Antenna, Waterproof, Shockproof, 1000 yen") to the server via the terminal's network interface. The input data is sent to the server in the form of an HTTP request or similar. The server receives this request and parses the data. The input is sent from the user's terminal and received by the server.

[1116] Step 4:

[1117] The server saves the data to the database.

[1118] In terms of specific operations, the server parses the received data and stores it as structured data in a MySQL or PostgreSQL database. The process is as follows:

[1119] If existing data exists, use the "UPDATE" query to update it.

[1120] If no existing data exists, use an "INSERT" query to save new data.

[1121] The input data is received by the server and processed into a format that can be stored in the database. The output is the data entry stored in the database.

[1122] Step 5:

[1123] The user creates a calculation request and sends it to the server.

[1124] In terms of specific operations, the user creates a calculation request in spreadsheet software. They input the "calculation request" into a cell and send it to the server. The emotion engine analyzes the user's emotions, and if the user is confused, it displays a suggestion on the screen such as "Would you like to use a calculation request template?". Input is sent from the user's terminal and received by the server.

[1125] Step 6:

[1126] The server receives and processes the calculation request.

[1127] In terms of operation, when the server receives a calculation request, it searches the database for the corresponding data and performs the cost calculation. SQL queries are used for the search process, and NumPy or Pandas libraries are used for the calculation process. For example, a query like "SELECT FROM database WHERE component name = 'antenna'" is executed, and calculations are performed based on the retrieved data. The input is the calculation request received by the server, and the output is the calculation result.

[1128] Step 7:

[1129] The server generates the calculation result and sends it back to the terminal.

[1130] In terms of specific operation, the server generates a calculation result and sends it back to the terminal. The calculation result includes information such as "Total cost: 3000 yen". The generated calculation result is sent to the terminal in the form of an HTTP response or similar. The input is the result of the server's calculation process, and the output is the calculation result sent back to the terminal.

[1131] Step 8:

[1132] The device displays the calculation results, and the emotion engine checks the user's reaction.

[1133] In terms of specific operation, the terminal displays the calculation result in spreadsheet software for the user to review. The emotion engine then checks the user's facial expressions and voice again, and if the user shows a surprised expression, for example, it provides additional information such as, "Would you like to see the detailed calculation steps?" The input is the calculation result displayed on the terminal, and the output is additional information and hints based on the user's reaction.

[1134] Through the above processing steps, the cost calculation of wireless devices is performed efficiently and intuitively, reducing the burden on users and improving overall work efficiency.

[1135] (Application Example 2)

[1136] 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."

[1137] Conventional factory robot production cost calculation systems required users to manually input vast amounts of data, resulting in cumbersome data entry and complex calculations. Furthermore, the systems unilaterally collected and calculated data without considering user emotions or reactions, leading to poor usability and hindering efficient work. Additionally, a lack of feedback to help users understand the calculation results could lead to misunderstandings and confusion.

[1138] 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.

[1139] In this invention, the server includes an input means for inputting usage conditions and prices; a storage means for receiving the usage conditions and prices input from the input means and storing them in a database; a calculation means for receiving a calculation request from the input means, searching for the corresponding data in the database, and performing a cost calculation; a transmission means for returning the calculation results to the input means; an emotion recognition means for recognizing the user's emotions by analyzing facial expressions, voice, and input speed; and a support means for analyzing the user's emotions using the emotion recognition means and providing input assistance according to the user's state. This enables the user to input data efficiently and perform cost calculations smoothly while reducing complexity and stress. Furthermore, transparency and usability can be improved by providing feedback to help the user understand the calculation results.

[1140] "Input method" refers to a device or interface used by the user to input usage conditions and price.

[1141] "Storage means" refers to a device or server that has the function of receiving data transmitted from input means and storing it in a database.

[1142] "Calculation means" refers to devices or servers that have the function of performing cost calculations based on data stored in a database.

[1143] "Transmission means" refers to a device or server that has the function of sending the calculation results obtained by the calculation means back to the input means.

[1144] "Emotion recognition means" refers to functions and systems that analyze the user's facial expressions, voice, and input speed to recognize the user's emotions.

[1145] "Support measures" refer to functions or systems that provide assistance with input appropriate to the user's state based on the user's emotions analyzed by emotion recognition measures.

[1146] The present invention is a system for efficiently calculating the production costs of factory robots, and includes data input by input means, database management by storage means, cost calculation by calculation means, result notification by transmission means, emotion recognition, and user support by support means. The system is implemented as follows.

[1147] System Program Overview

[1148] The system is developed using Python. SQLite is used as the database management system to store and manage data entered by users. Users enter usage conditions and prices through input devices (e.g., PCs or tablets), and this data is recorded in the database by the storage device.

[1149] The calculation system receives calculation requests from users, searches the database for data, and performs cost calculations. The calculation system then sends the calculation results back to the user via the transmission system. This allows users to quickly understand the total cost based on the information they entered.

[1150] emotion recognition means

[1151] Emotion recognition methods recognize a user's emotions by analyzing facial expressions, voice, and input speed. For example, they use facial recognition APIs (such as Google Cloud Vision API or Microsoft Azure Emotion API) or speech recognition APIs to determine if the user is stressed or confused.

[1152] Support means

[1153] The support system provides appropriate input assistance and feedback based on the user's emotional information obtained through the emotion recognition system. If the user shows confusion or stress during input, the system presents guidance and candidate data. If the user shows surprise or confusion when receiving feedback on calculation results, the system provides additional explanations and supplementary information.

[1154] Specific example

[1155] If a user wants to calculate the production cost of a factory robot's motor, they would follow these steps: First, the user uses the input device to enter the component name "motor," usage conditions "high temperature resistant, long lifespan," and price "5000 yen." During input, an emotion recognition device monitors the user's facial expressions and input speed, and if confusion or stress is detected, the support device provides guidance to the user.

[1156] Next, the calculation unit stores the input data in the storage unit and receives the calculation request. The calculation unit searches the database for relevant data and calculates the total cost. The calculation result is returned to the user through the transmission unit. If the user is surprised or confused by the result, the support unit provides additional explanations.

[1157] Example of a prompt

[1158] The user enters the following component information to calculate the production cost of the factory robot:

[1159] Component name: Motor

[1160] Usage conditions: High temperature resistant, long lifespan

[1161] Price: 5000 yen

[1162] The emotion engine should analyze the user's emotions based on facial and voice recognition, and provide guidance if it detects stress or confusion. Additionally, when the total cost calculation is presented, provide appropriate additional information for expressions of surprise or confusion.

[1163] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1164] Step 1:

[1165] The user enters component information (e.g., component name, usage conditions, price) using an input device. This information is entered into a form on the user's PC or tablet. During this process, the terminal device uses facial recognition APIs and speech recognition APIs to recognize the user's emotions, and if stress or confusion is detected, the terminal immediately provides guidance.

[1166] Input: Component information (component name, usage conditions, price), user facial expressions and voice data

[1167] Output: User input data, emotion recognition results

[1168] Step 2:

[1169] The terminal device sends input data to the server. The input data is sent to the server in real time, and the server receives the data. This process is carried out via communication means such as the internet.

[1170] Input: User input data

[1171] Output: Data sent to the server

[1172] Step 3:

[1173] The server saves the received data to the database. When new data is entered, existing data is updated or new records are added. The server verifies that the data has been saved successfully.

[1174] Input: Submitted input data

[1175] Output: Data stored in the database

[1176] Step 4:

[1177] The user generates a calculation request and sends it from the terminal to the server. The user creates the calculation request using spreadsheet software or similar on the terminal and sends it to the server. The emotion engine then re-analyzes the user's emotions and supports the creation of an appropriate request.

[1178] Input: Calculation request, user facial expressions, and voice data

[1179] Output: Calculation request sent to the server, emotion recognition result

[1180] Step 5:

[1181] The server receives a calculation request and searches the database for the corresponding data. The server uses a calculation tool to extract the relevant data from the database and perform cost calculations. The calculation tool uses a specific algorithm to determine the total cost based on the input conditions.

[1182] Input: Compute request sent to the server, data in the database

[1183] Output: Calculation result

[1184] Step 6:

[1185] The server returns the calculation results to the terminal. An emotion recognition system analyzes the user's emotions upon receiving the calculation results, and a support system provides additional explanations and feedback based on the user's response.

[1186] Input: Calculation result, user's facial expression and voice data

[1187] Output: Calculation results and feedback sent to the user

[1188] Step 7:

[1189] The device displays the calculation results, which the user then reviews. The user's emotions are analyzed again, and further support is provided by displaying supplementary information and hints as needed.

[1190] Input: Calculation results sent from the server, user's facial expressions, and voice data.

[1191] Output: Displayed calculation results, additional explanations and hints

[1192] 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.

[1193] 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.

[1194] 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.

[1195] [Fourth Embodiment]

[1196] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1197] 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.

[1198] 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).

[1199] 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.

[1200] 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.

[1201] 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).

[1202] 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.

[1203] 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.

[1204] 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.

[1205] 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.

[1206] 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.

[1207] 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.

[1208] 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".

[1209] The present invention is a system for efficiently verifying the cost of wireless devices, and includes the following elements: a terminal means for inputting usage conditions and price; a server means for receiving the usage conditions and price input from the terminal means and storing them in a database; a server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations; and a server means for returning the calculation results to the terminal means. Specifically, this system operates as follows.

[1210] Terminal function

[1211] Users input usage conditions and prices for each component of the wireless device using a terminal device (e.g., a PC or tablet). The terminal device transmits the entered data to the server device. Users can intuitively manage and input data using spreadsheets (e.g., Excel or Google Sheets).

[1212] Server functionality

[1213] The server is responsible for storing the usage conditions and prices received from the terminal in a database. When new data is entered, the server either updates the existing data or adds it as new data. This ensures data consistency and up-to-dateness.

[1214] When a user submits a calculation request, the server receives it and retrieves the corresponding data from the database. The server performs cost calculations based on the stored data. Once the calculation results are generated, the server sends them back to the terminal.

[1215] Specific example

[1216] The following are some specific examples.

[1217] 1. Users enter data using terminal devices.

[1218] The user enters the usage conditions for the antenna part, "waterproof and shockproof," and the price, "1000 yen," via their terminal.

[1219] 2. The terminal device sends data to the server.

[1220] The terminal device transmits this data to the server device.

[1221] 3. The server saves the data.

[1222] The server method stores "antenna, waterproof, shockproof, 1000 yen" in its database.

[1223] 4. The user creates a calculation request in a spreadsheet.

[1224] The user uses a spreadsheet to generate calculation requests and send them to the server.

[1225] 5. The server receives and processes the calculation request.

[1226] The server receives a calculation request, searches the database for the corresponding data "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[1227] 6. The server generates and returns the calculation results.

[1228] The server generates the calculation result (for example, a total cost of 1000 yen) and sends it back to the terminal.

[1229] 7. The terminal device displays the calculation result.

[1230] The terminal device displays the received calculation results in a spreadsheet, which the user then reviews.

[1231] In this way, this system streamlines the verification of specific specifications and data entry for wireless devices, allowing users to easily check costs. Furthermore, the central role of the server enables integrated data management and automated calculations. This significantly improves ease of operation and efficiency.

[1232] The following describes the processing flow.

[1233] Step 1:

[1234] The user inputs the usage conditions and price of each component of the wireless device using a terminal. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen".

[1235] Step 2:

[1236] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[1237] Step 3:

[1238] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server then stores this data in a database.

[1239] Step 4:

[1240] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into a specific cell in the spreadsheet.

[1241] Step 5:

[1242] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[1243] Step 6:

[1244] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[1245] Step 7:

[1246] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[1247] Step 8:

[1248] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions.

[1249] Step 9:

[1250] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[1251] Step 10:

[1252] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method.

[1253] Step 11:

[1254] The terminal device displays the calculation results it receives in a spreadsheet. The user reviews the calculation results in the spreadsheet and makes necessary decisions based on them.

[1255] (Example 1)

[1256] 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".

[1257] Conventional cost management systems for wireless equipment suffered from inefficiency due to the cumbersome process of inputting usage conditions and prices for each component, requiring users to manually organize and calculate data. Furthermore, maintaining data consistency was difficult, and accurate cost calculations based on the latest data were required. Additionally, a system capable of quickly displaying calculation results was needed.

[1258] 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.

[1259] In this invention, the server includes an information terminal means for inputting usage conditions and prices; a computer means for receiving the usage conditions and prices input from the information terminal means and storing them in a database; a computer means for receiving a calculation request from the information terminal means, searching for the corresponding data in the database, and performing a cost calculation; and a computer means for returning the calculation results to the information terminal means. This makes it possible for users to easily check the cost of wireless devices while maintaining data consistency and up-to-dateness.

[1260] "Operating conditions" refer to specific performance and environmental requirements that each component of a radio device must meet.

[1261] "Price" refers to the monetary value assigned to each component of a radio.

[1262] An "information terminal device" is a device used by a user to input usage conditions and prices and transmit them to a server; this includes PCs and tablets.

[1263] "Computing means" refers to a device that includes a system or program for storing received data in a database, processing calculation requests, and performing cost calculations.

[1264] A "database" is a structured collection of information used by computing devices to efficiently store and manage data such as usage conditions and prices.

[1265] A "calculation request" is a request sent from an information terminal to a server to perform cost calculations based on specific data.

[1266] "Cost calculation" is the process of calculating the total cost of a radio based on usage conditions and price data.

[1267] "Calculation result" refers to the final output of the cost calculation performed based on the calculation request.

[1268] This invention relates to a system for efficiently verifying the cost of wireless equipment, and includes an information terminal for inputting usage conditions and prices, and a server that receives this information, stores it in a database, and processes calculation requests. This system is designed to allow users to intuitively input usage conditions and prices and to quickly perform cost calculations based on that information.

[1269] Device functions

[1270] Users input usage conditions and prices for each component of the wireless equipment using information terminals such as PCs and tablets. Specifically, they input and manage data using spreadsheet software such as Excel or Google Sheets. By inputting data into a spreadsheet, users can intuitively manipulate the data. The entered data is converted into a data format such as JSON and sent to the server using the HTTP or HTTPS protocol.

[1271] Server Functions

[1272] The server receives usage conditions and price data transmitted from the information terminal and stores it in the database. During this process, data validation is performed to confirm the correctness of the data format. Relational databases such as MySQL and PostgreSQL are commonly used as the storage database. When new data is transmitted, the server either updates the existing data or adds it as new data.

[1273] When a user sends a calculation request from their information terminal, the server receives it and searches the database for the corresponding data. The server then performs cost calculations based on the retrieved data. Programming languages ​​such as Python and Node.js are used for the calculation process. Once the calculation results are generated, the server converts them into JSON format and sends them back to the information terminal.

[1274] Specific example

[1275] Next, I will show some specific examples of its use.

[1276] 1. The user enters data on the terminal.

[1277] The user uses a PC to enter the price of a waterproof and shockproof antenna, "1000 yen," into a spreadsheet.

[1278] 2. The device sends data to the server.

[1279] The device reads data from the spreadsheet, converts it to JSON format, and sends it to the server using an HTTP POST request.

[1280] 3. The server saves the data.

[1281] The server parses the received JSON data and saves it to the database. For example, it executes a query like this:

[1282] sql

[1283] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[1284] 4. The user creates a calculation request in a spreadsheet.

[1285] The user creates a new spreadsheet and makes a request to calculate the cost of the "antenna". For example, enter the following into a cell:

[1286] =REQUEST_COST("antenna")

[1287] 5. The server receives and processes the calculation request.

[1288] The server receives the request and retrieves the relevant data from the database. For example, it executes a query such as "SELECT FROM Component_Info WHERE Component = 'Antenna';". Based on the retrieved data, it performs cost calculations.

[1289] 6. The server generates and returns the calculation results.

[1290] The server generates the calculation result and returns JSON data like this:

[1291] json

[1292] {

[1293] "Component": "Antenna",

[1294] Total cost: 1000

[1295] }

[1296] 7. The device displays the calculation result.

[1297] The device parses the returned JSON data and displays "Total Cost: 1000 yen" in the appropriate cell of the spreadsheet.

[1298] Example of a prompt

[1299] The following prompts are used as example inputs to the generative AI model:

[1300] Prompt message:

[1301] Design a system that calculates the cost of a radio transceiver by inputting the usage conditions and prices of each component. This system should include the user entering data in a spreadsheet, sending it to a server, the server storing the data, receiving and processing calculation requests, and returning the calculation results to the user. Please explain the specific data exchange flow.

[1302] By clearly defining the operation of the entire system in this way, users can easily and efficiently check the cost of wireless devices. Furthermore, the collaboration between the terminal and the server allows for the automation of cost calculations while maintaining data consistency and up-to-dateness.

[1303] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1304] Step 1:

[1305] Users use PCs or tablets to input usage conditions and prices for each component of their wireless equipment into a spreadsheet. For example, a user might enter the price of a waterproof and shock-resistant antenna, "1000 yen," into a cell in Excel or Google Sheets. This input data is then converted into a format that can be organized within the spreadsheet.

[1306] Step 2:

[1307] The terminal converts the entered spreadsheet data into JSON format and sends it to the server using the HTTP or HTTPS protocol. Specifically, it generates JSON data like the following:

[1308] json

[1309] {

[1310] "Component": "Antenna",

[1311] "Usage conditions": ["Waterproof", "Shockproof"]

[1312] "Price": 1000

[1313] }

[1314] This is sent as an HTTP POST request, and the server receives the request.

[1315] Step 3:

[1316] The server parses the received JSON data and verifies the validity of the data format. Data that passes validation is saved to the database. For example, the following SQL query is executed to save the data:

[1317] sql

[1318] INSERT INTO Component_Information (Component, Usage Conditions, Price) VALUES ('Antenna', 'Waterproof, Impact Resistant', 1000);

[1319] If the saving process is successful, the input data will be added to the database.

[1320] Step 4:

[1321] The user creates a calculation request within the spreadsheet and sends it from their device to the server. For example, the user might enter the following into a cell in the spreadsheet:

[1322] =REQUEST_COST("antenna")

[1323] This is converted to JSON format and sent back to the server as an HTTP POST request.

[1324] Step 5:

[1325] The server receives the calculation request and searches for the corresponding data in the database. For example, it executes the following SQL query:

[1326] sql

[1327] SELECT FROM Component_Info WHERE Component = 'Antenna';

[1328] Cost calculations are performed based on the acquired data. Programming languages ​​such as Python and Node.js are used for the calculation process.

[1329] Step 6:

[1330] The server generates the cost calculation result, converts it to JSON format, and sends it back to the terminal. For example, the following calculation result might be returned:

[1331] json

[1332] {

[1333] "Component": "Antenna",

[1334] Total cost: 1000

[1335] }

[1336] This data will be returned as an HTTP response.

[1337] Step 7:

[1338] The terminal parses the received JSON data and displays the calculation result in the appropriate cell in the spreadsheet. The user can then see "Total Cost: 1000 yen" on the spreadsheet. This allows the user to quickly verify the cost of the entered materials.

[1339] (Application Example 1)

[1340] 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".

[1341] Conventional wireless cost verification systems efficiently manage input data and provide calculation results quickly, but they were not specialized for cost estimation of robot parts within a factory. Therefore, it was difficult for factory managers to input the usage conditions and prices of robot parts and immediately estimate costs. Furthermore, while rapid on-site response using smart devices is required, existing systems lacked the appropriate mechanisms to achieve this.

[1342] 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.

[1343] In this invention, the server includes terminal means for inputting usage conditions and price, server means for receiving usage conditions and price input from the terminal means and storing them in a database, server means for receiving a calculation request from the terminal means, searching for the corresponding data in the database and performing a cost calculation, server means for returning the calculation result to the terminal means, mobile terminal means for running an application for estimating the cost of robot parts in a factory, means for inputting part information, usage conditions, and price using the mobile terminal means, means for the server means to receive an estimate request, search for the corresponding part data in the database and perform a cost estimate, and means for displaying the estimate result on the mobile terminal means.

[1344] This will enable factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[1345] "Usage conditions" refer to the specifications and characteristics of how a part or component is used in a particular situation or environment.

[1346] "Price" is a numerical value that indicates the monetary value assigned to a part or component.

[1347] "Terminal means" refers to electronic devices used by a user to input or receive data.

[1348] A "server system" is a computer system used for storing, retrieving, and calculating data, and for communicating with terminal systems.

[1349] A "database" is an information aggregation system that systematically stores and manages multiple data points, making them easily searchable.

[1350] A "calculation request" is an operation in which a user asks a server to perform a calculation based on specific data or conditions.

[1351] "Cost calculation" is the process of calculating total costs or estimates based on the usage conditions and prices of parts and materials.

[1352] "Robot parts in a factory" refers to components of automated machinery used in a factory.

[1353] A "mobile terminal means" is a portable electronic device used to run a cost estimation application for robot parts.

[1354] "Part information" refers to detailed specifications and data about a specific part, including dimensions, material, and usage conditions.

[1355] A "quote request" is a request to the server to provide a cost estimate.

[1356] "Estimated results" refer to the predicted cost information generated after the server performs cost calculations.

[1357] This invention is a system for estimating the cost of robot parts in a factory, and includes the following elements.

[1358] Terminal function

[1359] Users input part information, usage conditions, and prices using mobile terminals (e.g., smartphones or tablets) within the factory. A mobile application is used as the user interface, allowing for intuitive operation.

[1360] Server functionality

[1361] The server has the following functions:

[1362] 1. Data Reception and Storage: Receive usage conditions and prices entered from the terminal device and store them in the database. When new data is entered, update existing data or add and save it as new data.

[1363] 2. Processing of calculation requests: When a user submits a quote request, the server receives it, retrieves the data for the corresponding parts from the database, and performs the cost calculation.

[1364] 3. Return of results: Once the calculation results are generated, the server means returns the results to the terminal means, and the terminal means displays them.

[1365] Hardware and software to be used

[1366] Hardware: Mobile devices (smartphones and tablets), servers

[1367] Software: Mobile applications (developed with React Native), server applications (developed with Python Flask), databases (SQLite)

[1368] Data processing and data calculation

[1369] The server performs the following data processing and calculations:

[1370] 1. Receive component information, usage conditions, and price transmitted from the terminal device and store them in the database.

[1371] 2. When a calculation request occurs, the system searches the database for the relevant data and performs the cost calculation.

[1372] 3. Generate the calculation result and return the result to the terminal device.

[1373] Specific example

[1374] For example, if a factory manager wants to estimate the cost of a robot's servo motor, the following steps would be taken:

[1375] 1. Enter "servo motor, heat resistant, 2000 yen" into the mobile app.

[1376] 2. Submit a quote request.

[1377] 3. The server retrieves the relevant information from the database and performs cost calculation.

[1378] 4. The obtained estimate of "2000 yen" is sent back to the terminal device.

[1379] 5. The user checks the results on a mobile device.

[1380] Thus, the present invention enables factory managers to quickly and efficiently estimate the cost of robot parts using smart devices on-site.

[1381] Example of a prompt

[1382] Examples of prompt statements to use are as follows:

[1383] Enter the servo motor part information and check the quote.

[1384] Part name: Servo motor

[1385] Usage conditions: Heat resistant

[1386] Price: 2000 yen

[1387] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1388] Step 1:

[1389] The user inputs part information, usage conditions, and price using a mobile device. Specifically, they open the mobile application and enter "Servo motor" in the "Part name" field, "Heat resistant" in the "Usage conditions" field, and "2000 yen" in the "Price" field. The input data is converted to the appropriate format within the application and sent to the server.

[1390] Step 2:

[1391] The terminal device sends input data to the server device. Specifically, the input data is serialized in JSON format and sent as an HTTP POST request to a specific endpoint on the server device. The input sent is "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[1392] Step 3:

[1393] The server receives input data and saves it to the database. Specifically, it deserializes the received JSON data and saves it as a new record in the SQLite database. If existing data exists, it is updated; otherwise, a new record is added. The database stores "part name, usage conditions, and price".

[1394] Step 4:

[1395] The user generates a cost estimate request using a mobile device and sends it to the server. Specifically, the user presses the estimate request button in the mobile application, enters the "part name" and "usage conditions," and submits the request. The input data would be "Part name: Servo motor, Usage conditions: Heat resistant."

[1396] Step 5:

[1397] The server receives the quote request and searches the database for the corresponding data. Specifically, it parses the received request data and searches the SQLite database for matching part information. The database retrieves the information "Part name: Servo motor, Usage conditions: Heat resistant, Price: 2000 yen".

[1398] Step 6:

[1399] The server performs the cost calculation. Specifically, it calculates the price based on the parts information obtained from the search results. In this case, the price will remain "2000 yen," but in some situations, more complex calculations may be performed. The cost estimate result is "2000 yen."

[1400] Step 7:

[1401] The server sends the calculation result back to the terminal. Specifically, it serializes the calculation result in JSON format and sends it to the mobile terminal as an HTTP response. The output data sent is "Estimated result: 2000 yen".

[1402] Step 8:

[1403] The terminal device receives the calculation result and displays it to the user. Specifically, it deserializes the received JSON data and displays it on the mobile application screen. The user can visually confirm the "Estimated Result: 2000 yen".

[1404] 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.

[1405] The present invention is a system for efficiently verifying the cost of wireless devices, and includes terminal means for inputting usage conditions and price, server means for receiving the usage conditions and price input from the terminal means and storing them in a database, server means for receiving calculation requests from the terminal means, searching for corresponding data in the database and performing cost calculations, server means for returning the calculation results to the terminal means, and an emotion engine for recognizing the user's emotions.

[1406] Terminal function

[1407] The user uses a terminal device (e.g., a PC or tablet) to input the usage conditions and price of each component of the wireless device. In this input process, the terminal device uses an emotion engine to recognize the user's emotions. The emotion engine analyzes the user's facial expressions, voice, input speed, etc., to determine whether the user is feeling stressed or inputting smoothly.

[1408] The emotion engine provides guidance to assist with input when the input process is cumbersome and stressful for the user. For example, if a user is frowning, the emotion engine reduces the user's burden by suggesting simpler, more intuitive input steps and data suggestions.

[1409] Server functionality

[1410] The server receives usage conditions and price data transmitted from the terminal and stores it in a database. When new data is entered, it updates existing data or adds and stores the new data. The server also receives cost calculation requests based on the data, searches for the corresponding data, and performs the calculation.

[1411] The server generates the calculation result and sends it back to the terminal. When the calculation result is sent back, the emotion engine is used again. Depending on the user's reaction, for example, if the user shows a surprised or confused expression, the server sends a notification to the terminal that provides additional explanations or suggests the next action.

[1412] Specific example

[1413] 1. Users enter data using terminal devices.

[1414] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[1415] 2. The terminal device sends data to the server.

[1416] The terminal device sends the input data to the server.

[1417] 3. The server saves the data.

[1418] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[1419] 4. The user creates a calculation request in a spreadsheet.

[1420] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[1421] 5. The server receives and processes the calculation request.

[1422] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[1423] 6. The server generates and returns the calculation results.

[1424] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[1425] 7. The terminal device displays the calculation result.

[1426] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[1427] Thus, this system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[1428] The following describes the processing flow.

[1429] Step 1:

[1430] The user inputs the usage conditions and price of each component of the wireless device using a terminal device. For example, they might input data such as "antenna, waterproof, shockproof, 1000 yen." At this time, the terminal device's emotion engine monitors the user's facial expressions and voice to analyze whether the user is experiencing stress.

[1431] Step 2:

[1432] If the emotion engine detects from the user's facial expressions or voice that input is not progressing smoothly, the terminal device will provide assistance to the user. This assistance may take the form of tooltips or guide messages.

[1433] Step 3:

[1434] The terminal device transmits the entered usage conditions and price to the server device. Specifically, the terminal device sends this data to the server via an HTTP request or similar method.

[1435] Step 4:

[1436] The server analyzes the data received from the terminal device and extracts the usage conditions and price. The server stores this data in a database. When new data is entered, it either updates the existing data or adds it as new data.

[1437] Step 5:

[1438] The user opens a spreadsheet, enters the necessary data for the component they want to calculate, and generates a calculation request. Specifically, they enter the component name and data related to the calculation target into specific cells in the spreadsheet. Throughout this process, the emotion engine monitors the user's emotions and detects signs of stress.

[1439] Step 6:

[1440] The terminal device sends a calculation request to the server device. The spreadsheet generates a calculation request using scripts and functions and sends it to the server.

[1441] Step 7:

[1442] The server receives a calculation request. The server analyzes the request and identifies which component's cost calculation is required.

[1443] Step 8:

[1444] The server searches the database to retrieve the usage conditions and price of the component corresponding to the request. For example, it searches for data for "antenna, waterproof, shock-resistant, 1000 yen".

[1445] Step 9:

[1446] The server calculates costs based on the data it acquires. It performs the necessary calculations according to the conditions. The server monitors the request status during the calculation process and logs the results as needed.

[1447] Step 10:

[1448] The server generates the calculation results. Once the calculation results are complete, they are formatted as structured data, such as in JSON format.

[1449] Step 11:

[1450] The server returns the calculation result to the terminal device. The calculation result is transmitted via an HTTP response or similar method. The server verifies that the result has been transmitted correctly.

[1451] Step 12:

[1452] The terminal device displays the calculation results it receives in a spreadsheet. The user checks the calculation results in the spreadsheet. The emotion engine monitors the user's reactions, and if the user is surprised or confused, the terminal device displays additional explanations or supplementary information.

[1453] Through this process, the system can efficiently calculate the cost of wireless devices while simultaneously recognizing user emotions and providing appropriate support, thereby improving the user experience.

[1454] (Example 2)

[1455] 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".

[1456] Conventional cost calculation systems for wireless devices had the problem of being burdensome for users due to the cumbersome input of usage conditions and prices. Furthermore, while the server received data and performed cost calculations, it did not take into account user sentiment or input circumstances, resulting in an unintuitive operation. As a result, users often spent a lot of time inputting data and creating calculation requests, leading to a decrease in overall work efficiency.

[1457] 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.

[1458] In this invention, the server includes input means, means for storing data in a database, means for receiving calculation requests and performing cost calculations, means for returning calculation results, and user interface means including an emotion engine that recognizes user emotions and supports input. This makes operation intuitive and smooth, reduces the burden on the user, and improves overall work efficiency.

[1459] An "input method" refers to a hardware or software interface for a user to input information such as usage conditions and pricing.

[1460] "Server means" refers to a network server and its related systems for receiving data transmitted from input means, storing it, performing cost calculations, and returning the results.

[1461] A "database" is a system used to store and manage data received by a server, and includes relational database management systems (RDBMS).

[1462] A "calculation request" refers to data or instructions that a user uses to request a server to perform a calculation.

[1463] "Cost calculation" is the process of calculating the cost of the radio equipment's components and the overall cost based on the entered usage conditions and price information.

[1464] "Calculation results" refer to the output data after the server performs cost calculations, and include cost information for individual components and the overall cost.

[1465] An "emotion engine" is a software or hardware system that recognizes a user's emotional state based on their facial expressions, voice, input speed, etc., and provides appropriate support.

[1466] "User interface means" refers to the interface through which a user accesses the system, and encompasses the entire operating system, including input means and emotion engine.

[1467] "Spreadsheet software" refers to software used by users to input data and generate calculation requests, and includes spreadsheet tools.

[1468] "Stress" refers to the burden and fatigue that users experience during the input and operation process.

[1469] The present invention is a system for efficiently calculating the cost of wireless devices, and includes the following main components: input means, server means, database, emotion engine, and user interface means.

[1470] 1. Input method

[1471] Users input usage conditions and prices for each component of a wireless device using a device such as a PC or tablet. Spreadsheet software (e.g., Excel or Google Sheets) is used for input. Users enter information such as "antenna, waterproof, shockproof, 1000 yen" into the input form. In this input process, the user interface uses an emotion engine to recognize the user's emotions.

[1472] 2. Emotional Engine

[1473] The emotion engine analyzes the user's facial expressions, voice, and input speed to determine whether the user is experiencing stress or inputting smoothly. This analysis utilizes facial recognition software such as OpenFace and DeepFace, as well as IBM Watson Tone Analyzer. If the user is experiencing stress, the emotion engine reduces the user's burden by suggesting simpler and more intuitive input procedures and data options.

[1474] 3. Server means

[1475] The server receives usage conditions and price data sent from the input and stores it in a database. Relational databases such as MySQL or PostgreSQL are used for this purpose. When new data is entered, the server updates existing data or appends the new data. In addition, the server receives calculation requests, retrieves the corresponding data from the database, and performs cost calculations. Python libraries such as NumPy and Pandas are used for these calculations.

[1476] 4. Return of calculation results and feedback

[1477] The server generates the calculation results and sends them back to the terminal. When the terminal receives the calculation results, the emotion engine analyzes the user's emotions again and provides appropriate feedback. For example, if the user shows a surprised or confused expression, the server sends a notification to the terminal with additional explanations or suggestions for the next action.

[1478] Specific example

[1479] 1. Users enter data using terminal devices.

[1480] The user inputs the antenna's usage requirements ("waterproof, shockproof") and price ("1000 yen") via a terminal. During this process, an emotion engine monitors the user's input. If the user is slow or shows signs of hesitation, the emotion engine displays options or guidance to support their input.

[1481] 2. The terminal device sends data to the server.

[1482] The terminal device sends the input data to the server.

[1483] 3. The server saves the data.

[1484] The server stores the data "antenna, waterproof, shockproof, 1000 yen" in its database. If existing data exists, it will be updated; otherwise, new data will be saved.

[1485] 4. The user creates a calculation request in a spreadsheet.

[1486] The user creates a calculation request using a spreadsheet and sends it to the server. At this time, the emotion engine analyzes the user's emotions and verifies that the calculation request has been created correctly.

[1487] 5. The server receives and processes the calculation request.

[1488] The server receives the calculation request, searches the database for data related to "antenna, waterproof, shockproof, 1000 yen," and performs the cost calculation.

[1489] 6. The server generates and returns the calculation results.

[1490] The server generates cost calculation results and sends them back to the terminal device. Upon receiving the calculation results, the terminal device recognizes the user's emotions and provides appropriate feedback.

[1491] 7. The terminal device displays the calculation result.

[1492] The terminal displays the calculation results in a spreadsheet for the user to review. The emotion engine further monitors the user's reactions and may provide supplementary information or hints.

[1493] Example of a prompt

[1494] "If a user is hesitant to input 'waterproofing,' the emotion engine provides simple guidance. Specifically, if a user frowns and stops typing, the system will suggest options such as 'Please select a specific waterproofing standard.'"

[1495] "When a user creates a calculation request, the sentiment engine analyzes the user's emotions and provides support. Specifically, if the user indicates confusion, the server will send a suggestion such as, 'Would you like to use a calculation request template?'"

[1496] "The emotion engine provides additional explanations based on the user's reaction to the calculation results. For example, if the user shows a surprised expression, the system will display a message such as, 'Would you like to see more details about this unexpected result?'"

[1497] This system not only streamlines the cost calculation of wireless devices but also enables smoother and more intuitive operation by recognizing and supporting the user's emotions. This reduces the burden on the user and improves overall work efficiency.

[1498] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1499] Step 1:

[1500] The user enters the usage conditions and price of the radio equipment using an input device (PC or tablet).

[1501] In terms of specific operations, the user opens spreadsheet software (e.g., Excel or Google Sheets) and enters data such as "antenna, waterproof, shockproof, 1000 yen". The entered data is saved in the spreadsheet software's cells. Based on the input, the data is temporarily stored in the memory of the input device.

[1502] Step 2:

[1503] The emotion engine analyzes the user's emotions and supports their input.

[1504] In terms of specific operations, the emotion engine captures the user's facial expressions with a webcam, collects audio with a microphone, and measures input speed. For example, if the user is frowning or inputting slowly, the emotion engine determines that the user is stressed. OpenFace, DeepFace, and IBM Watson Tone Analyzer are used for this analysis. Based on the analysis results, the emotion engine displays guidance on the screen, such as "Please select specific criteria for water resistance." The input is processed by the emotion engine's algorithm, and guidance is generated as output.

[1505] Step 3:

[1506] The terminal sends the input data to the server.

[1507] In terms of specific operations, once the user has finished entering the information, the terminal clicks the "Send" button. This action sends the entered data ("Antenna, Waterproof, Shockproof, 1000 yen") to the server via the terminal's network interface. The input data is sent to the server in the form of an HTTP request or similar. The server receives this request and parses the data. The input is sent from the user's terminal and received by the server.

[1508] Step 4:

[1509] The server saves the data to the database.

[1510] In terms of specific operations, the server parses the received data and stores it as structured data in a MySQL or PostgreSQL database. The process is as follows:

[1511] If existing data exists, use the "UPDATE" query to update it.

[1512] If no existing data exists, use an "INSERT" query to save new data.

[1513] The input data is received by the server and processed into a format that can be stored in the database. The output is the data entry stored in the database.

[1514] Step 5:

[1515] The user creates a calculation request and sends it to the server.

[1516] In terms of specific operations, the user creates a calculation request in spreadsheet software. They input the "calculation request" into a cell and send it to the server. The emotion engine analyzes the user's emotions, and if the user is confused, it displays a suggestion on the screen such as "Would you like to use a calculation request template?". Input is sent from the user's terminal and received by the server.

[1517] Step 6:

[1518] The server receives and processes the calculation request.

[1519] In terms of operation, when the server receives a calculation request, it searches the database for the corresponding data and performs the cost calculation. SQL queries are used for the search process, and NumPy or Pandas libraries are used for the calculation process. For example, a query like "SELECT FROM database WHERE component name = 'antenna'" is executed, and calculations are performed based on the retrieved data. The input is the calculation request received by the server, and the output is the calculation result.

[1520] Step 7:

[1521] The server generates the calculation result and sends it back to the terminal.

[1522] In terms of specific operation, the server generates a calculation result and sends it back to the terminal. The calculation result includes information such as "Total cost: 3000 yen". The generated calculation result is sent to the terminal in the form of an HTTP response or similar. The input is the result of the server's calculation process, and the output is the calculation result sent back to the terminal.

[1523] Step 8:

[1524] The device displays the calculation results, and the emotion engine checks the user's reaction.

[1525] In terms of specific operation, the terminal displays the calculation result in spreadsheet software for the user to review. The emotion engine then checks the user's facial expressions and voice again, and if the user shows a surprised expression, for example, it provides additional information such as, "Would you like to see the detailed calculation steps?" The input is the calculation result displayed on the terminal, and the output is additional information and hints based on the user's reaction.

[1526] Through the above processing steps, the cost calculation of wireless devices is performed efficiently and intuitively, reducing the burden on users and improving overall work efficiency.

[1527] (Application Example 2)

[1528] 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".

[1529] Conventional factory robot production cost calculation systems required users to manually input vast amounts of data, resulting in cumbersome data entry and complex calculations. Furthermore, the systems unilaterally collected and calculated data without considering user emotions or reactions, leading to poor usability and hindering efficient work. Additionally, a lack of feedback to help users understand the calculation results could lead to misunderstandings and confusion.

[1530] 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.

[1531] In this invention, the server includes an input means for inputting usage conditions and prices; a storage means for receiving the usage conditions and prices input from the input means and storing them in a database; a calculation means for receiving a calculation request from the input means, searching for the corresponding data in the database, and performing a cost calculation; a transmission means for returning the calculation results to the input means; an emotion recognition means for recognizing the user's emotions by analyzing facial expressions, voice, and input speed; and a support means for analyzing the user's emotions using the emotion recognition means and providing input assistance according to the user's state. This enables the user to input data efficiently and perform cost calculations smoothly while reducing complexity and stress. Furthermore, transparency and usability can be improved by providing feedback to help the user understand the calculation results.

[1532] "Input method" refers to a device or interface used by the user to input usage conditions and price.

[1533] "Storage means" refers to a device or server that has the function of receiving data transmitted from input means and storing it in a database.

[1534] "Calculation means" refers to devices or servers that have the function of performing cost calculations based on data stored in a database.

[1535] "Transmission means" refers to a device or server that has the function of sending the calculation results obtained by the calculation means back to the input means.

[1536] "Emotion recognition means" refers to functions and systems that analyze the user's facial expressions, voice, and input speed to recognize the user's emotions.

[1537] "Support measures" refer to functions or systems that provide assistance with input appropriate to the user's state based on the user's emotions analyzed by emotion recognition measures.

[1538] The present invention is a system for efficiently calculating the production costs of factory robots, and includes data input by input means, database management by storage means, cost calculation by calculation means, result notification by transmission means, emotion recognition, and user support by support means. The system is implemented as follows.

[1539] System Program Overview

[1540] The system is developed using Python. SQLite is used as the database management system to store and manage data entered by users. Users enter usage conditions and prices through input devices (e.g., PCs or tablets), and this data is recorded in the database by the storage device.

[1541] The calculation system receives calculation requests from users, searches the database for data, and performs cost calculations. The calculation system then sends the calculation results back to the user via the transmission system. This allows users to quickly understand the total cost based on the information they entered.

[1542] emotion recognition means

[1543] Emotion recognition methods recognize a user's emotions by analyzing facial expressions, voice, and input speed. For example, they use facial recognition APIs (such as Google Cloud Vision API or Microsoft Azure Emotion API) or speech recognition APIs to determine if the user is stressed or confused.

[1544] Support means

[1545] The support system provides appropriate input assistance and feedback based on the user's emotional information obtained through the emotion recognition system. If the user shows confusion or stress during input, the system presents guidance and candidate data. If the user shows surprise or confusion when receiving feedback on calculation results, the system provides additional explanations and supplementary information.

[1546] Specific example

[1547] If a user wants to calculate the production cost of a factory robot's motor, they would follow these steps: First, the user uses the input device to enter the component name "motor," usage conditions "high temperature resistant, long lifespan," and price "5000 yen." During input, an emotion recognition device monitors the user's facial expressions and input speed, and if confusion or stress is detected, the support device provides guidance to the user.

[1548] Next, the calculation unit stores the input data in the storage unit and receives the calculation request. The calculation unit searches the database for relevant data and calculates the total cost. The calculation result is returned to the user through the transmission unit. If the user is surprised or confused by the result, the support unit provides additional explanations.

[1549] Example of a prompt

[1550] The user enters the following component information to calculate the production cost of the factory robot:

[1551] Component name: Motor

[1552] Usage conditions: High temperature resistant, long lifespan

[1553] Price: 5000 yen

[1554] The emotion engine should analyze the user's emotions based on facial and voice recognition, and provide guidance if it detects stress or confusion. Additionally, when the total cost calculation is presented, provide appropriate additional information for expressions of surprise or confusion.

[1555] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1556] Step 1:

[1557] The user enters component information (e.g., component name, usage conditions, price) using an input device. This information is entered into a form on the user's PC or tablet. During this process, the terminal device uses facial recognition APIs and speech recognition APIs to recognize the user's emotions, and if stress or confusion is detected, the terminal immediately provides guidance.

[1558] Input: Component information (component name, usage conditions, price), user facial expressions and voice data

[1559] Output: User input data, emotion recognition results

[1560] Step 2:

[1561] The terminal device sends input data to the server. The input data is sent to the server in real time, and the server receives the data. This process is carried out via communication means such as the internet.

[1562] Input: User input data

[1563] Output: Data sent to the server

[1564] Step 3:

[1565] The server saves the received data to the database. When new data is entered, existing data is updated or new records are added. The server verifies that the data has been saved successfully.

[1566] Input: Submitted input data

[1567] Output: Data stored in the database

[1568] Step 4:

[1569] The user generates a calculation request and sends it from the terminal to the server. The user creates the calculation request using spreadsheet software or similar on the terminal and sends it to the server. The emotion engine then re-analyzes the user's emotions and supports the creation of an appropriate request.

[1570] Input: Calculation request, user facial expressions, and voice data

[1571] Output: Calculation request sent to the server, emotion recognition result

[1572] Step 5:

[1573] The server receives a calculation request and searches the database for the corresponding data. The server uses a calculation tool to extract the relevant data from the database and perform cost calculations. The calculation tool uses a specific algorithm to determine the total cost based on the input conditions.

[1574] Input: Compute request sent to the server, data in the database

[1575] Output: Calculation result

[1576] Step 6:

[1577] The server returns the calculation results to the terminal. An emotion recognition system analyzes the user's emotions upon receiving the calculation results, and a support system provides additional explanations and feedback based on the user's response.

[1578] Input: Calculation result, user's facial expression and voice data

[1579] Output: Calculation results and feedback sent to the user

[1580] Step 7:

[1581] The device displays the calculation results, which the user then reviews. The user's emotions are analyzed again, and further support is provided by displaying supplementary information and hints as needed.

[1582] Input: Calculation results sent from the server, user's facial expressions, and voice data.

[1583] Output: Displayed calculation results, additional explanations and hints

[1584] 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.

[1585] 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.

[1586] 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.

[1587] 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.

[1588] 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.

[1589] 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.

[1590] 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.

[1591] 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.

[1592] 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."

[1593] 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.

[1594] 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.

[1595] 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.

[1596] 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.

[1597] 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.

[1598] 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.

[1599] 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.

[1600] 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.

[1601] 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.

[1602] 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.

[1603] 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.

[1604] 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.

[1605] The following is further disclosed regarding the embodiments described above.

[1606] (Claim 1)

[1607] A terminal for entering usage conditions and price,

[1608] A server means that receives the usage conditions and price entered from the terminal means and stores them in a database.

[1609] A server means that receives a calculation request from the terminal means, retrieves the corresponding data from the database, and performs cost calculation,

[1610] A system including a server means that returns the calculation result to the terminal means.

[1611] (Claim 2)

[1612] The system according to claim 1, characterized in that the terminal means inputs data using a spreadsheet and generates a calculation request.

[1613] (Claim 3)

[1614] The system according to claim 1, characterized in that when the server means receives the usage conditions and price, it updates existing data or adds new data.

[1615] "Example 1"

[1616] (Claim 1)

[1617] An information terminal for entering usage conditions and price,

[1618] A computer means that receives the usage conditions and price entered from the aforementioned information terminal means and stores them in a database.

[1619] A computing means that receives a calculation request from the information terminal means, searches for the corresponding data from the database, and performs cost calculation,

[1620] A system including a computer means for returning the calculation results to the information terminal means.

[1621] (Claim 2)

[1622] The system according to claim 1, characterized in that the information terminal means inputs data using a program and generates a calculation request.

[1623] (Claim 3)

[1624] The system according to claim 1, characterized in that when the computing means receives the usage conditions and price, it updates existing data or adds new data.

[1625] "Application Example 1"

[1626] (Claim 1)

[1627] A terminal for entering usage conditions and price,

[1628] A server means that receives the usage conditions and price entered from the terminal means and stores them in a database.

[1629] A server means that receives a calculation request from the terminal means, retrieves the corresponding data from the database, and performs cost calculation,

[1630] A server means that returns the calculation result to the terminal means,

[1631] A mobile terminal that runs an application for estimating the cost of robot parts within a factory,

[1632] A means for inputting part information, usage conditions, and price using the aforementioned mobile terminal means,

[1633] The server means receives a quotation request, retrieves data for the corresponding parts from the database, and performs a cost estimate.

[1634] A system including means for displaying the estimation results on the mobile terminal means.

[1635] (Claim 2)

[1636] The terminal means is characterized by inputting data using a spreadsheet and generating calculation requests.

[1637] The system according to claim 1.

[1638] (Claim 3)

[1639] The server means is characterized by updating existing data or adding new data when it receives the usage conditions and price.

[1640] The system according to claim 1.

[1641] "Example 2 of combining an emotion engine"

[1642] (Claim 1)

[1643] An input method for entering usage conditions and price,

[1644] A server means that receives the usage conditions and price entered from the input means and stores them in a database.

[1645] A server means that receives a calculation request from the input means, retrieves the corresponding data from the database, and performs cost calculation,

[1646] A server means that returns the calculation result to the input means,

[1647] A system including a user interface means that includes an emotion engine that recognizes and supports user emotions.

[1648] (Claim 2)

[1649] The system according to claim 1, characterized in that the input means uses spreadsheet software to input data and generate calculation requests.

[1650] (Claim 3)

[1651] The system according to claim 1, characterized in that when the server means receives the usage conditions and price, it updates existing data or adds new data.

[1652] "Application example 2 when combining with an emotional engine"

[1653] (Claim 1)

[1654] An input method for entering usage conditions and price,

[1655] A storage means that receives the usage conditions and price entered from the input means and stores them in a database,

[1656] A calculation means that receives a calculation request from the input means, searches for the corresponding data from the database, and performs cost calculation,

[1657] A transmission means that sends the calculation result back to the input means,

[1658] An emotion recognition method that recognizes the user's emotions by analyzing facial expressions, voice, and input speed,

[1659] The aforementioned emotion recognition means analyzes the user's emotions and provides support means to assist the user in input according to their state,

[1660] A system that includes this.

[1661] (Claim 2)

[1662] The system according to claim 1, characterized in that the input means uses spreadsheet software to input data and generate calculation requests.

[1663] (Claim 3)

[1664] The system according to claim 1, characterized in that when the calculation means receives the usage conditions and price, it updates existing data or adds new data. [Explanation of Symbols]

[1665] 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 terminal for entering usage conditions and price, A server means that receives the usage conditions and price entered from the terminal means and stores them in a database. A server means that receives a calculation request from the terminal means, retrieves the corresponding data from the database, and performs cost calculation, A system including a server means that returns the calculation result to the terminal means.

2. The system according to claim 1, characterized in that the terminal means inputs data using a spreadsheet and generates a calculation request.

3. The system according to claim 1, characterized in that when the server means receives the usage conditions and price, it updates existing data or adds new data.

Images