Inquiry response processing device and inquiry response processing device program for egg processing system

Abstract

To provide an inquiry response processing device capable of processing inquiries related to an egg processing system.SOLUTION: An inquiry response processing device for processing inquiries related to an egg processing system includes: an input unit 32 which receives inquiry information related to the egg processing system; an estimation unit 33 which inputs the inquiry information as input data to a response estimation model 311 which is created using intelligent information technology with one or more types of language information related to the egg processing system as teacher data, and then generates and outputs response information for the inquiry information by using the response estimation model 311; and an output unit 34 which outputs the response information output from the estimation unit 33.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an inquiry response processing device and an inquiry response processing device program for an egg processing system. [Background technology]

[0002] Since eggs are agricultural products and food that are laid every day, the egg processing equipment that processes them is expected to operate stably 365 days a year. However, since the equipment is still mechanical, problems are inevitable, and egg processing companies are required to have the ability to maintain the equipment and deal with problems. However, due to a labor shortage, there are only a limited number of people who are knowledgeable about machinery, and the companies are unable to handle the situation on their own, so in many cases they have to contact the engineers of the egg processing equipment manufacturer. However, it is a burden for the manufacturer to be available 365 days a year, so it is expected that basic problems will be handled by the egg processing companies.

[0003] Patent Document 1 discloses an interactive task support system. In the interactive task support system, the voice of a customer is input from a customer terminal, and the voice of a staff member is received from a staff member terminal and transmitted to a voice recognition server and a sentiment analysis server. The voice recognition server converts the received voice into spoken text and transmits the spoken text to the interactive task support device, and the sentiment analysis server obtains an emotion score representing the emotion of the customer for each utterance from the received voice and transmits the emotion score to the interactive task support device. Based on the spoken text and the emotion score, the interactive task support device obtains utterance candidates and predicted scores for each affirmative, negative, and topic change as response patterns of the staff member to the customer's utterance by machine learning inference using data of past conversations between customers and highly skilled staff members as teacher data, and displays them on the staff member terminal.

[0004] Patent Document 2 discloses an interactive communication device and an equipment explanation support system. The interactive communication device has a storage means for storing question data and explanation data related to the equipment in association with each other, a selection means for selecting explanation data corresponding to a question from the equipment user from among a plurality of stored explanation data, a notification means for notifying a person in charge of the equipment in response to the question from the equipment user, an acquisition means for acquiring answer data from the person in charge who has received the notification, and a provision means for providing the selected explanation data or the acquired answer data to the equipment user by voice. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2021-157419 A [Patent Document 2] JP 2022-67684 A Summary of the Invention [Problem to be solved by the invention]

[0006] The present disclosure provides an inquiry response processing device and an inquiry response processing program capable of processing inquiries (for example, device operation, trouble, parts information, maintenance information, etc.) related to an egg processing system (each device). Also provided is an inquiry response processing device and an inquiry response processing program that allow inquiries to be made from locations other than the manufacturing site. [Means for solving the problem]

[0007] The inquiry response processing device (30) that processes inquiries regarding the egg processing system (each device) of the present disclosure includes: an input unit (32) for receiving (trouble) inquiry information regarding the egg processing system (each device); an estimation unit (33) that inputs the inquiry information received by the input unit (32) as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system (each device) as teaching data (or database), and generates and outputs answer information to the inquiry information using the answer estimation model (311); an output unit (34) that outputs the answer information output from the estimation unit (33); The device may include:

[0008] The inquiry response processing device (30) The system may include a storage unit (31) for temporarily storing the answer estimation model (311) or for a long period of time.

[0009] The inquiry response processing device (30) The system may further include a communication unit (342) for receiving the answer estimation model (311).

[0010] The estimation unit (33) The inquiry information received by the input unit (32) may be sent to an external device (e.g., a cloud server, a management device, etc.) via a communication unit (342), and in the external device, the inquiry information may be input as input data to an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system (100) as teaching data, and answer information to the inquiry information may be generated using the answer estimation model (311), and the output answer information may be received via the communication unit (342).

[0011] The answer estimation model (311) is The content of the inquiry may be recognized from the inquiry information and a method of dealing with the inquiry may be determined. The answer estimation model (311) is If the inquiry content cannot be recognized from the inquiry information, an output may be issued to prompt confirmation of the inquiry content (for example, repeating it) or re-entering it. The answer estimation model (311) is When generating answer information, answer information including a plurality of causes in descending order of likelihood may be generated. This makes it possible to display multiple causes in order of likelihood in response to a query in a language when a problem occurs.

[0012] The answer estimation model (311) is After outputting the answer information, an output may be given prompting the user to input additional inquiry information. The answer estimation model (311) is When prompting for input of additional information, the user may be prompted to check items in order, starting with the items that are easiest to check. This allows the system to prompt the user to make additional inquiries and output additional answers when various causes are suspected in response to a query made in a language when a problem occurs. Responses to successive queries can also be obtained quickly.

[0013] The answer estimation model (311) is Answer information including a method for recovering from a problem may be generated. If the same trouble occurs repeatedly, a response may be generated that indicates the root cause of the trouble and suggests an improvement. For fundamental solutions that require time to address, response information may be generated that gives priority to operation and instructs emergency measures, and includes a proposal to address fundamental issues after operation has ended.

[0014] The answer estimation model (311) is Response information may be generated that further includes one or more of the following: operational data of the device where the problem occurred and related devices, abnormality history, input / output data such as operation logs, maintenance information that should be performed at the time corresponding to the inquiry information, a schedule that lists the maintenance to be performed as tasks, lubrication, chain tension adjustment, adjustment of actuator operation timing, appropriate replacement timing of consumable parts such as brush replacement, etc. The maintenance information to be performed at the time corresponding to the inquiry information may include, for example, information instructing maintenance to be performed at that time.

[0015] The egg processing system or each device includes a maintenance information storage unit that stores maintenance information for each device; a transmission unit that transmits the maintenance information to the storage unit (31); The device may include: The maintenance information may be entered and stored in the device when maintenance work is performed. The egg processing system or each device includes a various information storage unit for storing input / output data information such as operation data, abnormality history, and operation logs of the device where the problem occurred and related devices; A transmission unit that transmits various information to the storage unit (31); The device may include: The maintenance information and / or various information may be sent to the inquiry response processing device (30), the manager terminal (40), the management device (50) or the management server (60) and stored in the memory unit (31).

[0016] The inquiry response processing device (30), the manager terminal (40), the management device (50) or the management server (60) may have a storage unit for storing the maintenance information and the various information.

[0017] The answer estimation model (311) may be re-trained periodically or whenever the information is updated. The inquiry response processing device (30), the administrator terminal (40), the management device (50), the management server (60) and / or any device may be provided with a learning model generation unit that learns and generates the answer estimation model (311) with a predetermined machine learning algorithm using predetermined teacher data (training data). The inquiry response processing device (30), the administrator terminal (40), the management device (50), the management server (60) and / or any device may be provided with a learning model re-learning unit that re-learns and generates the learning model (311) with a predetermined machine learning algorithm using predetermined teacher data (training data).

[0018] The input unit (32) may be configured, for example, as a means for receiving inquiry information data, and accepting text input via a keyboard or the like, voice input, or the like.

[0019] The answer estimation model (311) may be configured to have a language model program such as generative AI, conversational AI, machine learning, RNN, word2vec, doc2vec, LSTM, transformer, or PaLM. When using a so-called conversational AI, natural language processing (NLP) and machine learning (ML) may be used. The estimation unit (33) may have, for example, a chatbot or a rule-based automatic learning function.

[0020] Examples of the output unit (34) include a transmission means for transmitting to an external device, a monitor display means, a means for storing in the memory unit (31), a printer, and a storage medium writing means.

[0021] Examples of "one or more types of linguistic information related to the egg processing system" include instruction manuals for each device in the egg processing system, malfunction and repair reports (e.g., details of the trouble, cause of the trouble, details of how the trouble was dealt with) from the equipment manufacturer's personnel (e.g., sales person, engineer), and inspection reports (e.g., inspection items, inspection results, comments by the inspector regarding the inspection), etc. The terminology used in "information about the egg processing system in one or more languages" may include variations such as unique notations and names, such as the egg industry, production area, production company, consumption area, customers, accents, foreign language names, katakana English, Japanese English, abbreviations, and multiple types of notations and names. When creating the training data, terms with unique notations or names and terms with multiple types of notations or names may be previously associated with commonly used common terms and trained. By generating an answer prediction model trained with training data that takes these differences in terminology into account, appropriate answer information can be output even if there are various differences in the terms contained in the inquiry information.

[0022] The teacher data is Past inquiry information and one or more types of response information to the inquiry information may be used. The teacher data is For example, instruction manuals for each device in the egg processing system, malfunction and repair reports (e.g., details of the trouble, cause of the trouble, details of how the trouble was dealt with) from the equipment manufacturer's personnel (e.g., sales person, engineer), and inspection reports (e.g., inspection items, inspection results, comments by the inspector regarding the inspection) may be used. The teacher data is The information may be selected from one or more of the following: operational data of the device where the problem occurred and related devices, abnormality history, input / output data such as operation logs, maintenance information that should be performed at a time corresponding to the inquiry information, a schedule that lists the maintenance to be performed as tasks, lubrication, chain tension adjustment, adjustment of actuator operation timing, appropriate replacement timing of consumable parts such as brush replacement, etc.

[0023] The egg processing system includes a maintenance information storage unit that stores maintenance information for each of the devices; a transmission unit that transmits maintenance information to the storage unit (31); The device may include: The maintenance information may be entered and stored in the device when maintenance work is performed. The maintenance information may be sent to the inquiry response processing device (30) and stored in the memory unit (31). The inquiry response processing device (30) a maintenance information output unit that extracts corresponding maintenance information from the maintenance information stored in the storage unit (31) in response to the inquiry information received by the input unit (32), The output section (34) may output the maintenance information together with the response information or separately. The maintenance information may include, for example, information instructing the maintenance that should be performed at that time. The maintenance information may include, for example, a schedule that lists the maintenance to be performed as tasks. The maintenance information may include, for example, lubrication, adjustment of chain tension, adjustment of actuator operation timing, and appropriate replacement timing of consumable parts such as brush replacement. This allows the details of maintenance for each device to be input each time, and in response to an inquiry in a language, the maintenance that should be performed at that time can be specified, and further, instructions can be given for ordering expendable parts.

[0024] The output unit (34), the estimation unit (33), and / or the answer estimation model (311) After outputting the answer information, an output may be given prompting the user to input additional inquiry information. This allows the system to prompt the user to make additional inquiries and output additional answers when various causes are suspected in response to a query made in a language when a problem occurs. Responses to successive queries can also be obtained quickly.

[0025] The inquiry response processing device (30) may be, for example, an information processing device. The information processing device may be, for example, a computer, a cloud server, an on-premise server, a mobile terminal (mobile personal computer, smartphone, tablet), etc. For example, it may be a tablet, a smartphone, a mobile personal computer, a general-purpose personal computer, or a cloud server. The input unit (32) may be, for example, a touch panel, a selection switch, a keyboard, a mouse, a two-dimensional code reader, or a voice input means. The storage unit (31) may be a non-volatile memory such as an EPROM, HDD, SSD, or Nas, or a volatile memory such as a DRAM. If data needs to be retained, it is preferable to configure the storage unit (31) with a non-volatile memory. The display means of the output unit (34) is not particularly limited, and examples thereof include a liquid crystal monitor, an organic EL monitor, a CRT monitor, a smartphone, a tablet, and a monitor of a general-purpose personal computer. The communication means of the output unit (34) is composed of wired communication means and wireless communication means, and is configured to be able to communicate data with an external device (server, external storage device).

[0026] The inquiry response processing method for processing inquiries related to the egg processing system (each device) of the present disclosure is executed by one or more processors or information processing devices, An input step of accepting (trouble) inquiry information regarding the egg processing system (each device); an estimation step of inputting the received inquiry information as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system (each device) as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model (311); an output step of outputting the answer information outputted in the estimation step; may also include

[0027] The inquiry response processing program for processing inquiries regarding the egg processing system (each device) of the present disclosure is executed by one or more processors or information processing devices, An input step of accepting (trouble) inquiry information regarding the egg processing system (each device); an estimation step of inputting the received inquiry information as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system (each device) as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model (311); an output step of outputting the answer information outputted in the estimation step; may also include [Brief description of the drawings]

[0028] [Figure 1A] FIG. 1 illustrates an example of an egg processing system and record-keeping system. [Figure 1B] FIG. 1 illustrates an example of an egg processing system and record-keeping system. [Diagram 2] FIG. 2 is a diagram illustrating an example of functions of an inquiry response processing device. [Diagram 3]FIG. 13 is a diagram showing an example of variation in expression. [Figure 4] FIG. 13 is a diagram showing an example of a query and response screen. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0029] (Embodiment 1) 1A and 1B show an example of an egg processing system 100. The egg processing system 100 of this embodiment may include a conveying device 11, an egg washing device 12, a first inspection device 13, a first rejection device 14, a second rejection device 15, a drying device 16, a direction alignment device 17, a second inspection device 18, a weighing device 19, a sorting and packaging device 20, a third inspection device 21, a sealing device 22, a labeling device 221, a fourth inspection device 222, a boxing device 23, and a palletizer 24. Each device is connected via a network 101. A printer 102 connected via a network 101 can print various documents (for example, number of packages, number of boxes, processed weight, number of raw eggs, number of good products, number of defective products, quality rate, production records, etc.) in response to print commands from each device. In some cases, the first inspection device 13 or the second inspection device 15 may be omitted. In some cases, the first inspection device 13 may be disposed between the drying device 16 and the direction alignment device 17.

[0030] The conveying device 11 conveys eggs from upstream to downstream, connecting each device. The conveying device 11 is composed of a roller conveyor, a belt conveyor, etc. The egg washing device 12 washes eggs. It has a washing area on the upstream side and a drying area on the downstream side, and also has a conveyor bar of an egg washing conveyor for conveying eggs and a conveyor roller of a drying conveyor. The first inspection device 13 inspects the eggs processed by the egg washing device 12. Here, for example, large stains and broken eggs are detected. The light source for inspection may be an ultraviolet light source, a near-infrared light source, a multi-spectrum light source, an LED light source, etc. The imaging device may be a color camera, a monochrome camera, etc. The first rejection device 14 rejects broken eggs that have been classified by the first inspection device 13 as defective eggs that should be discarded and are different from normal eggs, so that they can be distinguished from other eggs (rejecting them from the conveying device 11). Defective eggs are rejected using a conveying direction sorting lever, a conveying drop belt, a suction means, a gripping means, or the like. The second rejection device 15 rejects eggs such as dirty eggs, deformed eggs, and extremely large eggs that have been classified as defective eggs by the first inspection device 13 so that they can be distinguished from other eggs. Defective eggs are rejected using a conveying direction sorting lever, a conveying drop belt, a suction means or a gripping means, etc. The drying device 16, in this embodiment, is disposed downstream of at least the first and second rejection devices 14, 15 to dry the eggs. The direction alignment device 17 is disposed downstream of the drying device 16 and aligns the direction of the blunt or sharp ends. The second inspection device 18 detects defective eggs (slightly dirty eggs). The light source for inspection may be an ultraviolet light source, a near-infrared light source, a multispectral light source, an LED light source, etc. The imaging device may be a color camera, a monochrome camera, etc. The second inspection device 18 may be equipped with a crack detection device that detects cracked eggs from the sound or vibrations generated when the eggs are struck. Cracked eggs detected by the crack detection device are rejected by the third rejection unit. Weighing device 19 is disposed downstream of second inspection device 18, and weighs the eggs transported in multiple rows (for example, six rows). The sorting and packaging device 20 sorts the eggs according to the weight of the eggs weighed by the weighing device 19, and places the eggs in containers corresponding to the sorted eggs (various containers for storing eggs such as MS, M, L, LL, etc.). The eggs weighed by weighing device 19 are transferred from the multi-row conveyor to the single-row conveyor. A transfer device (not shown) is provided to transfer the eggs being conveyed in multiple rows (for example, six rows) to the single-row conveyor.

[0031] The third inspection device 21 inspects the eggs contained in the egg cartons without the lids on. After inspection, the eggs are sent to a sealing device 22 that seals the lids.

[0032] The sealing device 22 seals the lid of the container in which the eggs are stored. In the case of a plastic container, the container is sealed by high-frequency welding, ultrasonic welding, adhesive tape (sealing tape), hot melt, or the like. In the case of a paper container (mold pack), the sealing device 22 may be configured to have an automatic lid closing machine. The automatic lid closing machine has a mechanism for closing the lid by fitting a protrusion on an extension part extending from the side part on the side where the eggs are inserted into an opening on the lid side.

[0033] Labeling device 221 applies a top label to the top surface of the egg container. Depending on the type of egg container, a device for applying a side label to the side surface may be provided. Best before date or quality expiration date, manufacturing place code, lot number, etc. are printed on the top label and side label.

[0034] A fourth inspection device 222 inspects egg cartons with the lids on and the labels affixed to the egg cartons. The imaging device of the fourth inspection device 222 also captures and inspects the sealing condition of the egg carton, the cutting condition of the sealing tape, whether the in-label is inside out, the type of label, the attachment condition of the label, and the printed information on the label.

[0035] The boxing device 23 packs the sealed product containers into boxes. The boxing device 23 has a conveyor roller, an automatic box assembly unit, and a multi-axis robot device. The multi-axis robot has a suction unit that picks up the containers and loads them into the boxes. Once a predetermined number of boxes have been loaded, they are sealed. A palletizer 24 loads the sealed boxes onto pallets.

[0036] (Inquiry response processing device) The egg processing system 100 further includes an operator terminal 30, an administrator terminal 40, a management device 50, and a management server 60. The management server 60 has a function of collecting and storing data from the management devices 50 at multiple production sites via the network 501 and the Internet 601. The function of the inquiry response processing device is provided in the worker terminal 30. In this embodiment, the manager terminal 40 and the management server 60 store a response estimation model 311, which may be executed by one or more processors. The worker terminal 30 (inquiry response processing device) is not limited to the manufacturing site, but can be used in different locations within the range of wireless communication, for example, domestically or overseas. By installing the response estimation model 311 in a portable information processing terminal such as a smartphone, inquiries can be made freely anytime and anywhere. The function of the inquiry response processing device may be provided in the manager terminal 40, the management device 50, or even in a remote terminal device connected via the network 501 and the Internet 601. When the remote terminal device has the inquiry response processing device function, an engineer of the egg processing device manufacturer can check the response of the inquiry response processing device and adjust the response estimation model to provide a more appropriate response. Of course, a new engineer with a low technical level can use the response of the inquiry response processing device as reference information for responding to customer inquiries.

[0037] FIG. 2 shows functional elements of the worker terminal 30. The operator terminal 30 having the function of an inquiry response processing device processes inquiries regarding the egg processing system. The storage unit 31 stores an answer estimation model 311 created by intelligent information technology using one or more types of linguistic information related to the egg processing system (each device) as teacher data. The storage unit 31 may also store other data.

[0038] The answer estimation model 311 is composed of an interactive AI model or a generative AI.

[0039] The input unit 32 accepts (trouble) inquiry information related to the egg processing system (each device). In this embodiment, the input unit 32 is configured with a means for accepting text input via a keyboard or the like, voice input, etc. In the case of a smartphone, tablet, etc., a soft keyboard or voice input means can be used.

[0040] The estimation unit 33 inputs the inquiry information received by the input unit 32 as input data to the response estimation model 311, and generates and outputs response information to the inquiry information using the response estimation model 311. In this embodiment, the estimation unit 33 may be configured to be a processor that reads the response estimation model 311 from the storage unit 31 and executes a program.

[0041] The answer estimation model 311 recognizes the content of the inquiry from the inquiry information and determines how to deal with it. When generating answer information, the answer estimation model 311 generates answer information that includes multiple causes in descending order of likelihood. After outputting the answer information, the answer estimation model 311 can output a message prompting the input of additional inquiry information. When prompting the input of additional information, the answer estimation model 311 may prompt the user to check items in order starting from the items that are easiest to check. The answer estimation model 311 may generate answer information including a method for recovering from a problem, and if the same problem occurs repeatedly, may generate answer information indicating the root cause of the problem and suggesting improvements. Regarding a fundamental solution that requires time to address, the answer estimation model 311 may generate answer information in which an emergency response is instructed with priority given to operation, and a proposal for fundamental solution measures is made after operation has ended. The answer estimation model 311 may generate answer information that further includes one or more of the following: input / output data such as operation data of the device where the problem occurred and related devices, abnormality history, and operation logs; maintenance information that should be performed at a time corresponding to the inquiry information; a schedule that lists the maintenance to be performed as tasks; lubrication, chain tension adjustment, adjustment of actuator operation timing, and appropriate replacement timing of consumable parts such as brush replacement.

[0042] The output unit 34 outputs the answer information output from the estimation unit 33. In this embodiment, the output unit 34 includes a communication unit 342 that transmits to an external device, a display unit 341 such as a monitor, a means for storing in the storage unit 31, and a voice output means. The inquiry may be made by voice input and the answer information may be output by voice. The inquiry may be made by text input and the answer information may be output by voice or may be displayed on a monitor, or both of these output forms may be used.

[0043] The terms used in the "information in one or more languages ​​related to the egg processing system (each device)" include variations such as unique notations and names, such as the egg industry, production area, manufacturing company, consumption area, customers, accents, names in foreign languages, katakana English, Japanese English, abbreviations, and multiple types of notations and names. Figure 3 shows an example of variation in expression. When creating the training data, terms with unique notations or names and terms with multiple types of notations or names may be previously associated with commonly used common terms and trained. By generating an answer prediction model trained with training data that takes these differences in terminology into account, appropriate answer information can be output even if there are various differences in the terms contained in the inquiry information.

[0044] The teaching data may further include input / output data such as operational data of the device in which the problem occurred and related devices, abnormality history, and operation logs. For example, when performing a repair, input / output data such as operational data, abnormality history, and operation logs of the device where the problem occurred and related devices may be read from the device, and the data may be learned in association with the language information of the repair. This makes it possible to generate an appropriate reply to inquiries made in the language of the relevant device when a problem occurs, by taking into account various information about the device, such as operational data, abnormality history, operation logs, and input / output status of related devices.

[0045] The training data may further include one or more of the following: maintenance information that should be performed at the time corresponding to the inquiry information, a schedule that lists the maintenance to be performed as tasks, lubrication, chain tension adjustment, adjustment of actuator operation timing, and appropriate replacement times for consumable parts such as brush replacement. This makes it possible to instruct the maintenance that should be performed at that time in response to an inquiry made in a language, and further to include in the reply information an instruction for ordering expendable parts.

[0046] The teaching data may further include one or more of the following: a method for dealing with the inquiry information, information on a plurality of trouble causes in order of likelihood, a method for recovering from the trouble, a root cause of the trouble, and a suggestion for improvement.

[0047] 4 shows an example of an inquiry and a response. “A” indicates the output of the estimation unit 33, and the balloon frame from the face mark indicates the inquiry information received from the input unit 32.

[0048] Table 1 shows examples of how to respond to inquiries. [Table 1]

[0049] Table 2 provides examples showing multiple causes in order of likelihood. [Table 2]

[0050] Table 3 shows an example of a prompt for additional inquiry information. [Table 3]

[0051] Table 4 shows an example of prompting users to check items in order, starting with the easiest items to check. [Table 4]

[0052] Table 5 shows examples of how to identify the root cause of a problem and propose improvements if the same problem occurs repeatedly. [Table 5]

[0053] Table 6 shows an example of instructing a temporary solution to a problem that requires time to resolve fundamentally, with operation taking priority. [Table 6]

[0054] Table 7 shows an example of generating an answer from operational data and operation logs. [Table 7]

[0055] Table 8 shows an example of generating answers for routine maintenance. [Table 8]

[0056] Table 9 shows an example of generating advice from maintenance history and production information. [Table 9]

[0057] Table 10 shows an example of generating improvement advice. [Table 10]

[0058] (Another embodiment) (1) The estimation unit 33 may be configured to send the inquiry information received by the input unit 32 to an external device (for example, the manager terminal 40, the management device 50, or the management server 60) via the communication unit 342, and in the external device, the inquiry information is input as input data to the answer estimation model 311 created by intelligent information technology using one or more types of linguistic information related to the egg processing system 100 as teaching data, and answer information to the inquiry information is generated using the answer estimation model 311, and the output answer information is received via the communication unit 342. The answer is displayed by the display unit 341. (2) The manager terminal 40 includes an input unit 32, an estimation unit 33, and a display unit 341, and may also include an inquiry function and a response function. (3) The worker terminal 30 (inquiry response processing device) is not limited to the manufacturing site, but can be used in different locations within the range of wireless communication, for example, domestic and overseas locations. It may be configured to send inquiry information to an external device (for example, the manager terminal 40, the management device 50, the management server 60) and obtain, receive, and display response information. The worker terminal 30 may be configured as a mobile terminal such as a smartphone. (4) The function of the inquiry response processing device is not limited to the worker terminal 30 (inquiry response processing device), and a salesperson's terminal or a mobile terminal of the device manufacturer may also have the same inquiry response processing device function.

[0059] (method) The inquiry response processing method for processing inquiries regarding an egg processing system (each device) is executed by one or more information processing devices, An input step of accepting (trouble) inquiry information regarding the egg processing system; an estimation step of inputting the received inquiry information as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model (311); an output step of outputting the answer information outputted in the estimation step; may also include

[0060] The inquiry response processing method (A) for processing an inquiry regarding the egg processing system of the present disclosure is executed by one or more processors or information processing systems, preferably mobile terminals, An input step of accepting (trouble) inquiry information regarding the egg processing system; a transmitting step of transmitting the received inquiry information to an external device; a receiving step of receiving response information to the inquiry information from the external device; an output step of outputting the answer information; may also include The inquiry response processing method (B) for processing an inquiry about the egg processing system is executed on one or more processors or information processing devices, preferably a cloud server; A receiving step of receiving the inquiry information from a device that executes the inquiry response processing method (A); an estimation step of inputting the inquiry information as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model (311); a transmitting step of transmitting the answer information output in the estimation step to the device; may also include

[0061] (program) The inquiry response processing program for processing inquiries regarding the egg processing system of the present disclosure is executed by one or more processors or information processing devices, An input step of accepting (trouble) inquiry information regarding the egg processing system; an estimation step of inputting the received inquiry information as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model (311); an output step of outputting the answer information outputted in the estimation step; may also include The above program may be installed on the worker terminal 30 or a mobile terminal such as a smartphone or tablet.

[0062] The inquiry response processing program (A) for processing inquiries regarding the egg processing system of the present disclosure is executed on one or more processors or information processing systems, preferably mobile terminals, An input step of accepting (trouble) inquiry information regarding the egg processing system; a transmitting step of transmitting the received inquiry information to an external device; a receiving step of receiving response information to the inquiry information from the external device; an output step of outputting the answer information; may also include A query response program (B) for processing queries about the egg processing system is executed on one or more processors or information processing devices, preferably a cloud server; a receiving step of receiving the inquiry information from a device that executes the inquiry response processing program (A); an estimation step of inputting the inquiry information as input data into an answer estimation model (311) created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model (311); a transmitting step of transmitting the answer information outputted in the estimation step to the device; may also include [Explanation of symbols]

[0063] 31 Storage section 311 Response Estimation Model 32 Input section 33 Estimation part 34 Output section 341 Display section 342 Communications Department 100 Egg Processing System

Claims

1. An inquiry response processing device that processes inquiries regarding an egg processing system, an input unit for receiving inquiry information regarding the egg processing system; an estimation unit that inputs the inquiry information received by the input unit as input data into an answer estimation model created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teacher data, and generates and outputs answer information to the inquiry information using the answer estimation model; an output unit that outputs the answer information output from the estimation unit; Equipped with Inquiry response processing device.

2. The inquiry response processing device includes: A storage unit is provided for temporarily storing the answer estimation model or for a long period of time. The inquiry response processing device according to claim 1 .

3. The estimation unit is The inquiry information received by the input unit is sent to an external device via a communication unit, and in the external device, the inquiry information is input as input data to an answer estimation model created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and answer information to the inquiry information is generated using the answer estimation model, and the output answer information is received via the communication unit. The inquiry response processing device according to claim 1 .

4. 1. An inquiry response processing method for processing an inquiry regarding an egg processing system, comprising: Executed on one or more processors or information processing devices, An input step of receiving inquiry information regarding the egg processing system; an estimation step of inputting the received inquiry information as input data into an answer estimation model created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model; an output step of outputting the answer information outputted in the estimation step; Including, Query response processing method.

5. An inquiry response processing program for processing an inquiry regarding an egg processing system, An input step of receiving inquiry information regarding the egg processing system; an estimation step of inputting the received inquiry information as input data into an answer estimation model created by intelligent information technology using one or more types of linguistic information related to the egg processing system as teaching data, and generating and outputting answer information to the inquiry information using the answer estimation model; an output step of outputting the answer information outputted in the estimation step; implemented on one or more processors or information processing devices, Query response processing program.

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