Information processing device, injection molding machine, information processing method, and computer program

Abstract

The present invention provides an information processing device that can create and notify accurate and consistent investigation data regarding the failure of an injection molding machine when a problem occurs with the injection molding machine. [Solution] When a problem occurs in an injection molding machine, the information processing device acquires testimony data related to the failure of the injection molding machine through dialogue with a user using a chatbot, and also acquires machine log data of the injection molding machine. It then creates investigation data including the acquired testimony data and machine log data, uploads the created investigation data to an external database, or notifies the person in charge of the injection molding machine of the investigation data.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an injection molding machine, an information processing method, and a computer program.

Background Art

[0002] Patent Document 1 discloses an injection molding machine configured to store data necessary for diagnosing a failure in an internal memory of a controller and to be able to read the data from the outside when a failure occurs in the injection molding machine.

[0003] When a trouble occurs in an injection molding machine, specifically, the following measures are taken. The user contacts a service technician, and the service technician who receives the contact goes out to grasp the current situation. If it can be solved on the spot, it is restored immediately. Then, the service technician fills out a form, and the form is sent to the manufacturer.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, form creation has been a burden on service technicians, and there have been cases where accurate information cannot be obtained from users, or depending on the skills and workload of service technicians, there may be variations in the accuracy of the forms. Variations in the accuracy of the forms are factors that delay machine recovery, and there is a problem that the user's satisfaction with service support decreases.

[0006] An object of the present disclosure is to provide an information processing apparatus or the like that can create and notify investigation data with guaranteed accuracy and uniformity regarding a failure of an injection molding machine when a trouble occurs in the injection molding machine.

Means for Solving the Problems

[0007] An information processing device according to one aspect of the present disclosure is an information processing device comprising a processing unit and a communication unit, wherein, when a problem occurs in an injection molding machine, the processing unit acquires testimony data related to the failure of the injection molding machine through dialogue with a user using a chatbot, and also acquires machine log data of the injection molding machine, and creates investigation data including the acquired testimony data and machine log data, and the communication unit uploads the created investigation data to an external database or notifies the person in charge of the injection molding machine of the investigation data.

[0008] An injection molding machine according to one aspect of the present disclosure is an injection molding machine comprising a processing unit and a communication unit, wherein, when a problem occurs in the injection molding machine, the processing unit obtains testimony data related to the failure of the injection molding machine through dialogue with a user using a chatbot, and also obtains machine log data of the injection molding machine, and creates investigation data including the obtained testimony data and machine log data, and the communication unit uploads the created investigation data to an external database or notifies the person in charge of the injection molding machine of the investigation data.

[0009] An information processing method according to one aspect of this disclosure, when a problem occurs with an injection molding machine, obtains testimony data related to the failure of the injection molding machine through dialogue with a user using a chatbot, obtains machine log data of the injection molding machine, creates investigation data including the obtained testimony data and machine log data, uploads the created investigation data to an external database, or notifies the person in charge of the injection molding machine of the investigation data.

[0010] A computer program according to one aspect of this disclosure, when a problem occurs in an injection molding machine, obtains testimony data related to the failure of the injection molding machine through dialogue with a user using a chatbot, obtains machine log data of the injection molding machine, creates investigation data including the obtained testimony data and machine log data, uploads the created investigation data to an external database, or causes the computer to execute a process to notify the person in charge of the injection molding machine of the investigation data. [Effects of the Invention]

[0011] According to this disclosure, it is possible to provide an information processing device, etc., that can create and notify accurate and consistent investigation data regarding the failure of an injection molding machine when a problem occurs in the injection molding machine. [Brief explanation of the drawing]

[0012] [Figure 1] This is a block diagram showing an example configuration of an injection molding machine system according to Embodiment 1. [Figure 2] This is a block diagram showing an example configuration of the control device according to Embodiment 1. [Figure 3] This is a block diagram showing an example configuration of an information processing device according to Embodiment 1. [Figure 4] This is a conceptual diagram showing an example configuration of the user device database. [Figure 5] This is a flowchart showing the document creation process procedure according to Embodiment 1. [Figure 6] This is a conceptual diagram showing the document creation process method according to Embodiment 1. [Figure 7] This is a schematic diagram showing an example of a form. [Figure 8] This is a schematic diagram showing the structure of the situation description entered into the form. [Figure 9] This is a block diagram showing an example configuration of an injection molding machine system according to Embodiment 2. [Figure 10] This is a flowchart showing the document creation process procedure according to Embodiment 3.

Best Mode for Carrying Out the Invention

[0013] An information processing apparatus, an injection molding machine, an information processing method, and a computer program according to an embodiment of the present disclosure will be described below with reference to the drawings. Note that the present disclosure is not limited to these examples, but is defined by the claims, and is intended to include all modifications within the meaning and scope equivalent to the claims. Also, at least a part of the embodiments described below may be arbitrarily combined.

[0014] (Embodiment 1) FIG. 1 is a block diagram showing a configuration example of an injection molding machine system according to Embodiment 1. The injection molding machine system includes an injection molding machine 1, a router 7, an information processing apparatus 8, a communication terminal 9, and a notification DB 10.

[0015] The communication terminal 9 is a communication device having a display unit such as a computer, a tablet terminal, or a smartphone. The communication terminal 9 is a terminal used by a person related to the injection molding machine 1. The terminals used by the persons related to the injection molding machine 1 include terminals of maintenance and inspection personnel of the injection molding machine 1, service personnel, terminals of sales bases in charge of the injection molding machine 1, terminals of the quality assurance department, and the like.

[0016] The notification DB 10 is a database for notifying the communication terminal 9 from the information processing apparatus 8 of the form data summarizing the failure status of the injection molding machine 1. The information processing apparatus 8 can store the form data in the notification DB 10. The communication terminal 9 can read and display the form data stored in the notification DB 10 and edit its content.

[0017] <Injection molding machine 1> The injection molding machine 1 includes a mold clamping device 2 that clamps the mold 21, an injection device 3 that melts and injects a molding material, a plurality of sensors 4, a logging device 5, and a control device 6.

[0018] The mold clamping device 2 comprises a fixed platen 22 fixed on the bed 20, a mold clamping housing 23 slidably mounted on the bed 20, and a movable platen 24 that similarly slides on the bed 20. The fixed platen 22 and the mold clamping housing 23 are connected by multiple tie bars 25, 25, ... for example, four tie bars. The movable platen 24 is configured to slide freely between the fixed platen 22 and the mold clamping housing 23. A mold clamping mechanism 26 is provided between the mold clamping housing 23 and the movable platen 24. The mold clamping mechanism 26 is composed of, for example, a toggle mechanism. The mold clamping mechanism 26 may also be composed of a direct pressure type mold clamping mechanism, i.e., a mold clamping cylinder. The fixed platen 22 and the movable platen 24 are provided with a fixed mold 28 and a movable mold 27, respectively, and when the mold clamping mechanism 26 is driven, the mold 21 is opened and closed. Furthermore, the mold clamping device 2 includes an ejector pin for removing the molded product from the mold 21 and a drive motor for driving the ejector pin.

[0019] The injection device 3 is mounted on a base 30. The injection device 3 comprises a heating cylinder 31 having a nozzle 31a at its tip, and a screw 32 rotatably disposed within the heating cylinder 31 in both the circumferential and axial directions. A heater for melting the molding material is provided inside or around the heating cylinder 31. The screw 32 is driven in both the rotational and axial directions by a drive device 35.

[0020] A hopper 33 into which the molding material is fed is provided near the rear end of the heating cylinder 31. The injection molding machine 1 also includes a nozzle touch device 34 that moves the injection device 3 in the front-rear direction (left-right direction in Figure 1). When the nozzle touch device 34 is driven, the injection device 3 moves forward so that the nozzle 31a of the heating cylinder 31 touches the contact portion of the fixed platen 22.

[0021] The multiple sensors 4 are elements and circuits that detect physical quantities related to the state of the injection molding machine 1 or the quality of the molded product. In other words, the multiple sensors 4 are elements and circuits that detect time-series physical quantities related to the operation of the injection molding machine 1, obtained during the injection molding process of a molded product using the injection molding machine 1.

[0022] The sensors 4 include those installed on the injection molding machine 1 for operational control of the injection molding machine 1, and those separately installed to estimate the state of the injection molding machine 1. All or some of the multiple sensors 4 are connected to a logging device 5, and the sensors 4 output signals indicating the detected physical quantities to the logging device 5. The information processing device 8, described later, acquires physical quantity data from the sensors 4 via the logging device 5. The physical quantity data is time-series data of sensor values ​​indicating the detected physical quantities. Furthermore, some of the multiple sensors 4 are connected to the control device 6, and the information processing device 8 can also acquire physical quantity data from these sensors 4 via the control device 6.

[0023] Physical quantities include temperature, position, velocity, acceleration, current, voltage, pressure, time, image data, torque, force, strain, power consumption, and weight. These physical quantities can be measured using thermometers, position sensors, velocity sensors, acceleration sensors, ammeters, voltmeters, pressure gauges, timers, cameras, torque sensors, power meters, weighing scales, etc.

[0024] The multiple sensors 4 include, for example, a speed sensor for detecting the speed of the screw 32, a speed sensor for detecting the speed of the movable platen 24, and a speed sensor for detecting the speed of the ejector pins. The multiple sensors 4 include, for example, a torque sensor for detecting the torque of the motor that drives the screw 32, a torque sensor for detecting the torque of the motor that drives the movable platen 24, and a torque sensor for detecting the torque of the motor that drives the ejector pins. The multiple sensors 4 include, for example, a pressure sensor that detects the pressure in the screw 32 or the heating cylinder 31, and a pressure sensor that detects the pressure applied to the mold 21. Multiple sensors 4 include load cells that detect pressure applied longitudinally to the screw 32. The multiple sensors 4 include, for example, a position sensor for detecting the position of the screw 32, a position sensor for detecting the position of the movable platen 24, and a position sensor for detecting the position of the ejector pin. The multiple sensors 4 include, for example, a rotational speed sensor for detecting the rotational speed of the motor that drives the screw 32, a rotational speed sensor for detecting the rotational speed of the motor that drives the movable platen 24, and a rotational speed sensor for detecting the rotational speed of the motor that drives the ejector pins. Multiple sensors 4 include load sensors that detect the clamping force by the clamping device 2. The multiple sensors 4 include a temperature sensor for detecting the temperature of the hopper 33, a temperature sensor for detecting the temperature at one or more locations in the heating cylinder 31, and a temperature sensor for detecting the temperature at one or more locations in the nozzle 31a.

[0025] Furthermore, sensor 4 includes any other detectors capable of detecting physical quantities that contribute to estimating the quality of the molded product.

[0026] The logging device 5 is, for example, a PLC (Programmable Logic Controller). The logging device 5 samples the analog signals output from each of the multiple sensors 4 at predetermined intervals, performs AD conversion, and stores them in its internal memory as physical quantity data representing time-series physical quantities. The logging device 5 also samples the command value signals output from the control device 6 at predetermined intervals, performs AD conversion, and stores them in its internal memory as time-series command value data. For example, the logging device 5 stores the physical quantity data and command value data as a CSV file. After each injection molding cycle, the logging device 5 transfers the logged physical quantity data and command value data files to the control device 6. The physical quantity data is data obtained during the injection molding process of a molded product using the injection molding machine 1, relating to the presence or absence of abnormalities in the injection molding machine 1 and the cause of those abnormalities.

[0027] Figure 2 is a block diagram showing an example configuration of the control device 6 according to Embodiment 1. The control device 6 is a computer that controls the operation of the injection molding machine 1 and comprises a control unit 61, a storage unit 62, a touch panel display 63, a signal input / output unit 64, a machine log data input unit 65, and a communication unit 66. The user can set molding conditions (operating conditions) for operating the injection molding machine 1 by operating the touch panel display 63. The molding conditions include multiple setting items such as hopper temperature, cylinder temperatures at multiple locations, nozzle temperature, multiple injection speeds that are changed in multiple stages, holding pressure, and holding pressure time. Based on the various setting values ​​indicated by the molding conditions and the detection values ​​of the sensor 4 provided on the clamping device 2 or injection device 3, the control device 6 outputs a command signal to the injection molding machine 1 and operates the injection molding machine 1. The control device 6 also acquires physical quantity data from the sensor 4 and monitors for troubles in the injection molding machine 1 based on the acquired physical quantity data. If a trouble occurs in the injection molding machine 1, it transmits data indicating that a trouble has occurred to the information processing device 8. Furthermore, the process of monitoring for problems with the injection molding machine 1 may be configured to be performed by another fault monitoring device.

[0028] The control unit 61 is a processor and includes arithmetic processing circuits such as a CPU (Central Processing Unit), multi-core CPU, ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), internal storage devices such as ROM (Read Only Memory) and RAM (Random Access Memory), and I / O terminals. The control unit 61 functions as a control device 6 by executing the control program stored in the storage unit 62.

[0029] The control unit 61 displays the status of the injection molding machine 1 on the touch panel display 63 and controls the operation of each component of the injection molding machine 1 in accordance with the operation operation on the touch panel display 63. It also manages the authority to change the settings of the molding conditions in the injection molding machine 1 and executes a process to restrict setting change operations according to the user's operational authority level. Furthermore, the control unit 61 executes a process related to editing the user's operational authority level and editing the range of restrictions on setting change operations. Note that each functional unit of the control device 6 may be implemented in software, in hardware, or in a combination thereof.

[0030] The storage unit 62 includes non-volatile memory such as a hard disk, flash memory, or SSD (Solid State Drive). The storage unit 62 stores control programs, other various programs, and data that are referenced by the control unit 61.

[0031] The touch panel display 63 comprises a display panel and a touch sensor. The display panel has a display device such as a liquid crystal display or an organic electroluminescent (EL) display. The touch panel display 63 displays the setting of molding conditions for the injection molding machine 1, operation screens necessary for operation, status screens showing the operating status of the injection molding machine 1, etc., in accordance with instructions from the control unit 61. In addition, when a problem occurs with the injection molding machine 1, the touch panel display 63 displays a chat screen to receive user testimony data related to the failure of the injection molding machine 1. The touch sensor is, for example, a touch panel device with a built-in display, and accepts various user input operations. The touch sensor also accepts user input of operation operations and sends command signals to the control unit 61 according to the operation content.

[0032] Although a touch panel display 63 has been described as an example of a means for the user to operate the control device 6, it may also be composed of a known display device and an input device. The display device is a display device such as a liquid crystal display or an organic EL display. The input device is a device such as a hardware key such as a keyboard or a mouse.

[0033] The signal input / output unit 64 includes a signal input terminal that receives signals of measured values ​​output from a sensor 4 provided on the injection molding machine 1, and a signal output terminal that outputs command signals to the drive unit of the clamping device 2 or injection device 3 for controlling the operation of the clamping device 2 or injection device 3 according to the control unit 61.

[0034] The machine log data input unit 65 is an input interface that receives signals output from the sensor 4. The sensor 4 is connected to the machine log data input unit 65, and the control unit 61 acquires machine log data via the machine log data input unit 65.

[0035] The communication unit 66 is a communication circuit that sends and receives information according to a predetermined communication protocol such as Ethernet (registered trademark). The communication unit 66 is connected to the information processing device 8 on the cloud via the router 7, and the control unit 61 can send and receive various types of information to and from the information processing device 8 via the communication unit 66.

[0036] Figure 3 is a block diagram showing an example configuration of an information processing device 8 according to Embodiment 1. The information processing device 8 is a computer and comprises a processing unit 81, a storage unit 82, and a communication unit 83. The storage unit 82 and the communication unit 83 are connected to the processing unit 81.

[0037] The processing unit 81 is a processor and includes arithmetic processing circuits such as a CPU, multi-core CPU, GPU (Graphics Processing Unit), GPGPU (General-purpose computing on graphics processing units), TPU (Tensor Processing Unit), ASIC, FPGA, NPU (Neural Processing Unit), internal storage devices such as ROM and RAM, and I / O terminals. The processing unit 81 functions as an information processing device 8 according to this embodiment by executing a computer program P stored in the storage unit 82, which will be described later. Each functional part of the information processing device 8 may be implemented in software, or some or all of them may be implemented in hardware.

[0038] The communication unit 83 is a communication circuit that sends and receives information according to a predetermined communication protocol such as Ethernet (registered trademark). The communication unit 83 is connected to the control device 6 and the communication terminal 9 via a communication network, and the processing unit 81 can send and receive various types of information to and from the control device 6 and the communication terminal 9 via the communication unit 83.

[0039] The storage unit 82 is a non-volatile memory such as a hard disk, EEPROM, or flash memory. The storage unit 82 stores a computer program P that causes the computer to perform a process to collect witness data and machine log data related to the failure of the injection molding machine 1 when a problem occurs in the injection molding machine 1, and to create report data in which various data related to the failure are entered, as well as a report generation learning model 84, a user equipment DB 85, ​​and a report DB 86.

[0040] The computer program P, etc., may be recorded on the recording medium 80 in a manner that is computer-readable. The storage unit 82 stores the computer program P, etc., read from the recording medium 80 by a reading device (not shown). The recording medium 80 is a semiconductor memory such as flash memory. The recording medium 80 may also be an optical disc such as a CD (Compact Disc)-ROM, DVD (Digital Versatile Disc)-ROM, or BD (Blu-ray® Disc). Furthermore, the recording medium 80 may be a magnetic disc such as a flexible disk or hard disk, or a magneto-optical disc. In addition, the computer program P, etc., may be downloaded from an external server (not shown) connected to a communication network (not shown) and stored in the storage unit 82.

[0041] The report generation learning model 84 is, for example, a Large Language Model (LLM). A Large Language Model is a machine learning model that uses a mechanism called a Transformer, for example. The Large Language Model according to this embodiment 1 is This model outputs a report in a predetermined format containing information about the failure of injection molding machine 1 when a prompt is input, which is created based on testimony data collected from the user when a problem occurs with injection molding machine 1, machine log data collected from injection molding machine 1, and user equipment data read from user equipment DB85.

[0042] For the large-scale language model, a general-purpose LLM may be used, or it may be a finely tuned model that can output accurate advice for distinguishing between business and personal transaction entries.

[0043] Furthermore, the information processing device 8 may be configured to access an LLM server (not shown) that provides an API (Application Programming Interface) related to a large-scale language model, which is a report generation learning model 84, and to use services provided by the LLM server that utilize the report generation learning model 84 through the API.

[0044] Furthermore, while a large-scale language model was described as an example of a report generation learning model 84, the type of model is not particularly limited as long as it can perform natural language processing that processes textual data such as input testimony data, machine log data, and user device data, and outputs the required results.

[0045] Figure 4 is a conceptual diagram showing an example configuration of the User Equipment DB85. The User Equipment DB85 is a database that stores basic information of the user of injection molding machine 1, sales representative information for injection molding machine 1, equipment information for injection molding machine 1, etc. For example, the User Equipment DB85 stores the User ID, equipment number, and sales representative ID in association. The User ID is associated with the user's company name, address, telephone number, etc., of injection molding machine 1 and is stored in the User Equipment DB85. The equipment number is associated with the model of injection molding machine 1, shipment number, factory shipment date, customer delivery date, installation work confirmation date, usage period, etc., and is stored in the User Equipment DB85. The Sales Representative ID is associated with the name, telephone number, communication address, etc., of the person in charge of maintenance and inspection and various sales services for injection molding machine 1 and is stored in the User Equipment DB85. The communication address is, for example, the email address to which the sales representative sends messages to the communication terminal used by the sales representative.

[0046] The document database 86 is a database that stores document data created by the information processing device 8. The document data is stored in the document database 86, for example, associated with the device number.

[0047] Figure 5 is a flowchart showing the report creation process procedure according to Embodiment 1, Figure 6 is a conceptual diagram showing the report creation process method according to Embodiment 1, Figure 7 is a schematic diagram showing an example of a report, and Figure 8 is a schematic diagram showing the structure of the situation description entered into the report.

[0048] If a problem occurs in the injection molding machine 1, the control device 6 of the injection molding machine 1 sends a report that a problem has occurred to the information processing device 8 (step S11). Upon receiving the trouble report sent from the injection molding machine 1, the processing unit 81 of the information processing device 8 requests the control device 6 of the injection molding machine 1 to provide testimony data and machine log data related to the failure of the injection molding machine 1 (step S12).

[0049] The information processing device 8, in communication with the control device 6 which has received a request for testimony data, obtains testimony data related to the malfunction of the injection molding machine 1 through dialogue with the user using a chatbot, and also performs a process to obtain machine log data of the injection molding machine 1.

[0050] Specifically, the processing unit 81 sends question data to the control device 6 regarding information related to the failure of the injection molding machine 1, and the control device 6 displays the question. The user can input an answer to the question using the touch panel display 63. The control device 6 provides the input answer as testimony data to the information processing device 8 (step S13). The processing unit 81 of the information processing device 8 acquires the testimony data provided by the control device 6 (step S14). The information processing device 8 and the control device 6 collect information related to the failure of the injection molding machine 1 by repeatedly performing various questions and answers. For example, as shown in Figure 6, the information processing device 8 can acquire testimony data including whether or not a power outage occurred when a problem occurred with the injection molding machine 1, the operating status of peripheral devices, the temperature around the equipment, the humidity around the equipment, and whether or not recovery by restarting was successful.

[0051] The dialogue between the information processing device 8 and the control device 6 is rule-based. The dialogue between the information processing device 8 and the control device 6 may be a set question-and-answer format, or it may be configured to change according to the content of the user basic information and user device information stored in the user device DB 85. It may also be configured to change the content of the questions according to the user's answers. If the dialogue content is complex, the information processing device 8 may be configured to perform dialogue processing and acquire testimony data using a machine learning model such as a large-scale language model.

[0052] On the other hand, in response to a request for machine log data, the control device 6 provides the information processing device 8 with machine log data collected before and after the occurrence of trouble (step S15). The processing unit 81 of the information processing device 8 acquires the machine log data provided by the control device 6 (step S16). For example, as shown in Figure 6, the machine log data includes, for example, basic information such as the machine number, number of shots, and error code. The machine log data also includes time-series log data that associates the time, the number of man-hours and stages of injection molding, and whether or not there was trouble at that time.

[0053] A single process may consist of multiple stages. For example, an injection process may include a first injection process and a second injection process, each with different injection speeds. In this case, the machine log data includes not only the process itself but also data indicating which stage the process is at. Including data indicating both the process and the stage number in the machine log data allows for more accurate log data. Furthermore, the data indicating the presence or absence of trouble may be error code data. In addition, the machine log data includes log data that associates the physical quantity (sensor value) obtained by sensor 4 at that time.

[0054] Next, the processing unit 81 of the information processing device 8 creates integrated investigation data based on the testimony data and machine log data acquired through the processing in steps S14 to S16 (step S17). The system may also be configured to read user basic information, user equipment information, sales representative information, etc., from the user equipment DB 85 using the machine number included in the machine log data as a key, and then create integrated investigation data based on this read information, the testimony data, and the machine log data.

[0055] Then, the processing unit 81 converts the created survey data into a prompt, which is an instruction for the report generation learning model 84 (step S18). For example, the prompt is a sentence that includes a report creation instruction, testimony data, machine log data, and user equipment data. Specifically, the prompt is a sentence like this:

[0056] Role: You are a technical expert who analyzes equipment problems on injection molding machine 1. Task: Create the required report data in the specified format using the following information 1, information 2, and information 3. Information 1: Testimony Data Information 2: Machine log data Information 3: User device data

[0057] Next, the processing unit 81 of the information processing device 8 inputs the prompt converted in step S18 to the report generation learning model 84 (step S19), causing it to generate and output report data (step S20).

[0058] Then, the processing unit 81 transmits the report data generated by the processing in steps S19 and S20 to the communication terminals 9 of various service personnel and other related parties of the injection molding machine 1 (step S21). The communication terminals 9 receive the report data transmitted from the information processing device 8 (step S22) and complete the processing. The processing unit 81 can identify the communication address of the sales representative associated with the equipment number of the injection molding machine 1 that experienced trouble, i.e., the communication terminal 9 to which the report data is sent, by referring to the user equipment DB 85 using the equipment number included in the machine log data as a key.

[0059] Maintenance personnel, sales offices, and various service personnel in the quality assurance department who possess a communication terminal 9 can use the communication terminal 9 to check the contents of the report data. Specifically, the communication terminal 9 displays a report image as shown in Figure 7 based on the report data. The report image includes basic information about the user and the injection molding machine 1, information about the circumstances surrounding the injection molding machine 1 obtained from witness data, the timing of the trouble, machine log data before and after the trouble occurred, and an error code. In particular, the "Situation" column contains text that expresses the state of the failure of the injection molding machine 1, integrating information based on witness data and information based on equipment log data, as shown in Figure 8. By checking the report, service personnel can accurately grasp the trouble and failure status of the injection molding machine 1 and take the necessary actions.

[0060] As described above, according to the injection molding machine system of this embodiment 1, when a problem occurs in the injection molding machine 1, it is possible to create a report data that ensures accuracy and uniformity regarding the failure of the injection molding machine 1 and notify the service personnel. Specifically, the information processing device 8 according to this embodiment 1 can utilize a chatbot to interview users about machine troubles and generate prompts in a predetermined format by combining user testimony and machine log data. Furthermore, by inputting this data into the report generation learning model 84, it can create reports in a predetermined format, enabling accurate information to be quickly shared with manufacturers and service personnel.

[0061] Figure 5 illustrates an example of the information processing device 8 sending report data to the communication terminal 9. However, the processing unit 81 may also notify service personnel of the report data by uploading it to the notification DB 10.

[0062] (Embodiment 2) The injection molding machine system according to Embodiment 2 differs from Embodiment 1 in that the control device 6 of the injection molding machine 1 is offline. The other components of the state estimation system are the same as those of the system according to Embodiment 1, so the same reference numerals are used for the same parts, and detailed explanations are omitted.

[0063] Figure 9 is a block diagram showing an example configuration of an injection molding machine system according to Embodiment 2. Similar to Embodiment 1, the injection molding machine system according to Embodiment 2 comprises an injection molding machine 1, an information processing device 8, a communication terminal 9, and a notification DB 10. The control device 6 according to Embodiment 2 is not connected to a communication network. The injection molding machine system according to Embodiment 2 includes a device-side communication terminal 100 for transmitting user testimony data and machine log data to the information processing device 8. The machine log data is input to the device-side communication terminal 100 using a portable recording medium A. The device-side communication terminal 100 provides the testimony data and machine log data to the information processing device 8 by performing the same processing as the control device 6 in Embodiment 1. The processing content on the information processing device 8 side is the same as in Embodiment 1.

[0064] As described above, according to the injection molding machine system of this embodiment 2, similar to embodiment 1, when a problem occurs in the injection molding machine 1, it is possible to create a report data that ensures accuracy and uniformity regarding the failure of the injection molding machine 1 and notify the service personnel.

[0065] (Embodiment 3) The injection molding machine system according to Embodiment 3 differs from that of Embodiment 1 in that the data transmitted by the information processing device 8 to the communication terminal 9 is different. The other components of the state estimation system are the same as those of the system according to Embodiment 1, so the same reference numerals are used for the same parts, and detailed explanations are omitted.

[0066] Figure 10 is a flowchart showing the report creation process procedure according to Embodiment 3. The information processing device 8 according to Embodiment 2 does not perform the processing in steps S18 to S20 in Embodiment 1, but transmits the survey data created in step S17 to the communication terminal 9 (step S321). The communication terminal 9 receives the survey data transmitted from the information processing device 8 (step S322) and displays it. The communication terminal 9 can provide service personnel with testimony data obtained from users, equipment log data, and user equipment data, although not in an organized format like a report.

[0067] As described above, according to the injection molding machine system of this embodiment 3, similar to embodiment 1, when a problem occurs in the injection molding machine 1, it is possible to create investigation data that ensures accuracy and uniformity regarding the failure of the injection molding machine 1 and notify the service personnel. [Explanation of symbols]

[0068] 1: Injection molding machine 2: Mold clamping device 3: Injection device 4: Sensor 5: Logging device 6: Control device 7: Router 8: Information Processing Device 9: Communication terminals 80: Recording media 81: Processing Unit 83: Communications Department 84: Form generation learning model P: Computer program

Claims

1. An information processing device comprising a processing unit and a communication unit, The aforementioned processing unit, If a problem occurs with the injection molding machine, the system will acquire testimony data related to the malfunction of the injection molding machine through dialogue with the user using a chatbot, and will also acquire machine log data of the injection molding machine. We created investigation data including the acquired testimony data and machine log data. The aforementioned communications unit is Upload the created survey data to an external database, or notify the person in charge of the injection molding machine of the survey data. Information processing device.

2. The aforementioned survey data is, Includes report data in a predetermined format created based on acquired testimony data and machine log data. The information processing apparatus according to claim 1.

3. The system includes a learning model that outputs report data in a predetermined format when a prompt containing testimony data and machine log data is entered. The aforementioned processing unit, The report data is generated by inputting prompts containing acquired testimony data and machine log data into the learning model. The information processing apparatus according to claim 2.

4. The aforementioned processing unit, Through interaction with the user using the chatbot, prompts are created that include acquired testimony data and machine log data. The information processing apparatus according to claim 3.

5. The aforementioned machine log data includes the equipment number of the injection molding machine, The aforementioned processing unit, By referring to a database that stores the equipment number of the injection molding machine in association with the basic information of the user of the injection molding machine or the sales representative information of the injection molding machine, report data is created that includes the basic information of the user or the sales representative information corresponding to the equipment number included in the acquired machine log data. The information processing apparatus according to claim 2.

6. The aforementioned report data includes items related to the trouble status of the injection molding machine, The aforementioned processing unit, Create a document explaining the trouble situation using the acquired testimony data and machine log data. The information processing apparatus according to claim 2.

7. The aforementioned testimony data is, The data includes at least one of the following: data indicating whether or not a power outage occurred; data indicating the operating status of peripheral equipment of the injection molding machine; temperature data and humidity data around the injection molding machine; and recovery success / failure data indicating whether or not the machine was restored by restarting the injection molding machine. The information processing apparatus according to claim 1.

8. The aforementioned machine log data is The data includes time data, data indicating the process of the injection molding machine at the time indicated by the time data, and data indicating whether or not a problem occurred. The information processing apparatus according to claim 1.

9. If one process has multiple stages, The data indicating the process of the injection molding machine includes data indicating which stage of each process the machine is currently in. The information processing apparatus according to claim 8.

10. The aforementioned machine log data is Includes physical quantity data indicating the state of the injection molding machine. The information processing apparatus according to claim 1.

11. The aforementioned machine log data is This includes the machine number of the injection molding machine, the number of shots taken by the injection molding machine, and the error code of the trouble that occurred in the injection molding machine. The information processing apparatus according to claim 1.

12. The aforementioned communications unit is The survey data is transmitted to the communication terminal of the maintenance and inspection personnel of the injection molding machine, the communication terminal of the sales office or quality assurance department that oversees the injection molding machine, and other locations. The information processing apparatus according to claim 1.

13. An injection molding machine equipped with a processing unit and a communication unit, The aforementioned processing unit, If a problem occurs with the injection molding machine, the system will acquire testimony data related to the malfunction of the injection molding machine through dialogue with the user using a chatbot, and will also acquire machine log data of the injection molding machine. We created investigation data including the acquired testimony data and machine log data. The aforementioned communications unit is Upload the created survey data to an external database, or notify the person in charge of the injection molding machine of the survey data. Injection molding machine.

14. The aforementioned survey data is, Includes report data in a predetermined format created based on acquired testimony data and machine log data. The injection molding machine according to claim 13.

15. If a problem occurs with the injection molding machine, the system will acquire testimony data related to the malfunction of the injection molding machine through dialogue with the user using a chatbot, and will also acquire machine log data of the injection molding machine. We created investigation data including the acquired testimony data and machine log data. Upload the created survey data to an external database, or notify the person in charge of the injection molding machine of the survey data. Information processing methods.

16. The aforementioned survey data is, Includes report data in a predetermined format created based on acquired testimony data and machine log data. The information processing method according to claim 15.

17. If a problem occurs with the injection molding machine, the system will acquire testimony data related to the malfunction of the injection molding machine through dialogue with the user using a chatbot, and will also acquire machine log data of the injection molding machine. We created investigation data including the acquired testimony data and machine log data. Upload the created survey data to an external database, or notify the person in charge of the injection molding machine of the survey data. A computer program that causes a computer to perform a process.

18. The aforementioned survey data is, Includes report data in a predetermined format created based on acquired testimony data and machine log data. The computer program according to claim 17.

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