WO2022190553A1 - 情報処理システムおよび情報処理システムの制御方法 - Google Patents

情報処理システムおよび情報処理システムの制御方法 Download PDF

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Publication number
WO2022190553A1
WO2022190553A1 PCT/JP2021/047192 JP2021047192W WO2022190553A1 WO 2022190553 A1 WO2022190553 A1 WO 2022190553A1 JP 2021047192 W JP2021047192 W JP 2021047192W WO 2022190553 A1 WO2022190553 A1 WO 2022190553A1
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WIPO (PCT)
Prior art keywords
information
abnormality
user
cause
unit
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Ceased
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PCT/JP2021/047192
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English (en)
French (fr)
Japanese (ja)
Inventor
琢也 植木
健太 柘植
千瑛子 手嶌
嵩史 大倉
大輝 伊達
雄大 永田
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Omron Corp
Original Assignee
Omron Corp
Omron Tateisi Electronics Co
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267—Fault communication, e.g. human machine interface [HMI]
    • G05B23/0272—Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4184—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0262—Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31356—Automatic fault detection and isolation
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31365—Send message to most appropriate operator as function of kind of error

Definitions

  • the present disclosure relates to an information processing system and a control method for the information processing system.
  • Patent Literature 1 discloses a method for managing the progress of workers.
  • One object of the present disclosure is to provide an information processing system that allows an operator to quickly acquire the cause of an abnormality that has occurred in a control system.
  • An information processing system in response to a request regarding an abnormality occurring in a control system including a control device or occurrence of an event, a first acquisition unit that acquires first information indicating a state of a control system; , an abnormality content determination unit that determines the content of the abnormality that has occurred based on the first information; and a request for the second information from the user according to the content of the abnormality, and the a second acquisition unit for acquiring information; a cause estimation unit for estimating the cause of the abnormality that has occurred based on the first information and the second information; and notifying the user of the estimated cause of the abnormality. and notification means.
  • a first acquisition unit that acquires first information indicating a state of a control system
  • an abnormality content determination unit that determines the content of the abnormality that has occurred based on the first information
  • a request for the second information from the user according to the content of the abnormality and the a second acquisition unit for acquiring information
  • a cause estimation unit for estimating the cause of the abnormality that
  • the first acquisition unit is communicably connected to the control system and acquires data stored in the control system. According to this configuration, the information processing system can acquire data from the control system.
  • the first acquisition unit acquires data when a predetermined condition is satisfied. According to this configuration, it is possible to start the process when the predetermined condition is satisfied.
  • the first acquisition unit acquires the first information according to the user's instruction. According to this configuration, it is possible to start processing according to a user instruction.
  • the information processing system further includes a confirmation unit that confirms with the user whether or not the abnormality has been resolved. According to this configuration, it is possible to confirm whether or not the abnormality has been resolved by the confirmation unit.
  • the information processing system further includes an additional information acquisition unit that requests additional information from the user and acquires additional information from the user when it is determined that the abnormality is not resolved based on the confirmation result of the confirmation unit.
  • the cause estimation unit narrows down and estimates the cause of the abnormality based on the first information, the second information, and the additional information. According to this configuration, when the abnormality is not resolved, it is possible to narrow down the cause of the abnormality based on the additional information.
  • the second information is imaging data. According to this configuration, it is possible to quickly obtain the cause of the abnormality using the imaging data.
  • a control method for an information processing system acquires first information indicating a state of a control system in response to a request or occurrence of an event related to an abnormality occurring in a control system including a control device; determining the content of the abnormality that has occurred based on the first information; requesting the user for the second information according to the content of the abnormality; and obtaining the second information from the user. estimating the cause of the occurring abnormality based on the first information and the second information; and notifying the user of the estimated cause of the abnormality. According to this configuration, it is possible for the operator to quickly obtain the cause of the abnormality that has occurred in the control system.
  • An information processing system and an information processing system control method enable an operator to quickly acquire the cause of an abnormality that has occurred in the control system.
  • FIG. 3 is a diagram schematically illustrating an example of a hardware configuration of a server 50 according to an embodiment
  • FIG. 4 is a diagram schematically illustrating an example of a software configuration of server 50 according to the embodiment
  • FIG. 4 is a sequence diagram illustrating data flow between a user and a bot according to the embodiment
  • FIG. 10 is an example diagram (part 1) explaining the interactive screen 300 according to the embodiment
  • FIG. 10 is an example diagram (part 2) explaining the interactive screen 300 according to the embodiment;
  • FIG. 10 is a sequence diagram illustrating the flow of data between a user and a bot according to Modification 1 of the embodiment;
  • FIG. 10 is a diagram illustrating an example of image data of a communication unit according to modification 1 of the embodiment;
  • FIG. 11 is a diagram illustrating a layout configuration of a thermocouple input unit according to modification 2 of the embodiment; It is a figure explaining the state of the photoelectric sensor according to the modification 3 of embodiment.
  • FIG. 13 is a diagram illustrating the state of a CPU unit according to Modification 4 of the embodiment;
  • FIG. 20 is a diagram schematically illustrating an example of a usage scene of an information processing system 1# according to Modification 5 of the embodiment;
  • FIG. 1 is a diagram schematically illustrating an example of a usage scene of an information processing system 1 according to an embodiment.
  • an information processing system 1 according to the embodiment includes a production line 3, a PLC (Programmable Logic Controller) 2, a support device 10, and a server 50.
  • PLC Programmable Logic Controller
  • the work W is transported by a transport mechanism 6 such as a belt conveyor, and is sequentially imaged by an imaging unit 8 .
  • the imaging results are used, for example, for image processing such as inspection of the presence or absence of defects and stains on the work W, measurement of the size and orientation of the work W, and recognition of characters and figures on the surface of the work W.
  • the PLC 2 controls the production line 3 including multiple mechanisms such as the imaging unit 8 and the transport mechanism 6 .
  • PLC 2 has a control program 221 for controlling the operation of production line 3 .
  • the control program 221 may include all kinds of programs that control the operation of each mechanism that makes up the production line 3 .
  • the control program 221 may consist of one program, or may consist of a plurality of programs.
  • the PLC 2 acquires multiple status data 222 and log data 223 regarding the status of multiple mechanisms that make up the production line 3 .
  • the production line 3 may be composed of a plurality of devices as long as it can manufacture some kind of product, or may be composed of a single device such as a packaging machine.
  • each mechanism may be configured by one or a plurality of devices, or may be configured by a part of the device, as long as it can perform some processing in the manufacturing process. If one mechanism constitutes part of a device, multiple mechanisms may constitute one device.
  • the support device 10 is connected to the PLC 2 and acquires information (first information) indicating the state of the production line 3 from the PLC 2 in response to a request or occurrence of an event related to an abnormality that has occurred in the production line 3. .
  • the information is state data 222 or log data 223 of the mechanisms that constitute the production line 3 .
  • the support device 10 is communicably connected to the server 50 .
  • Server 50 functions as a chatbot in the embodiment.
  • the user uses the support device 10 to access the server 50 functioning as a chatbot and provide necessary information in response to a request from the server 50.
  • the server 50 determines the details of the abnormality that has occurred based on the acquired information (first information). Then, the server 50 requests another information (second information) from the user and acquires another information (second information) from the user according to the content of the determined abnormality.
  • the server 50 estimates the cause of the abnormality based on the acquired information (first information) and the requested other information (second information).
  • the server 50 notifies the support device 10 of the estimated cause of the abnormality.
  • the user executes the procedure for resolving the anomaly.
  • FIG. 2 is a diagram schematically illustrating an example of the hardware configuration of the support device 10 according to the embodiment.
  • the support device 10 according to the embodiment is a computer to which a control unit 11, a storage unit 12, a communication interface 13, an input device 14, an output device 15, and a drive 16 are electrically connected.
  • the communication interface is described as "communication I/F.”
  • the control unit 11 includes a CPU (Central Processing Unit), which is a hardware processor, RAM (Random Access Memory), ROM (Read Only Memory), etc., and controls each component according to information processing.
  • the storage unit 12 is, for example, an auxiliary storage device such as a hard disk drive or a solid state drive, and stores an interactive program 121 and the like executed by the control unit 11 .
  • the dialog program 121 is a program that accesses the server 50 functioning as a chatbot and provides an interface screen or the like for exchanging information with the server 50 .
  • the communication interface 13 is, for example, a wired LAN (Local Area Network) module, a wireless LAN module, or the like, and is an interface for performing wired or wireless communication via a network.
  • the communication interface 13 enables the support device 10 to perform data communication with the PLC 2 via a network.
  • the type of network may be appropriately selected from, for example, the Internet, wireless communication network, mobile communication network, telephone network, dedicated network, and the like.
  • the input device 14 is, for example, a device for performing input such as a mouse and keyboard.
  • the output device 15 is, for example, a device for outputting such as a display and a speaker. An operator can operate the support device 10 via the input device 14 and the output device 15 .
  • the drive 16 is, for example, a CD drive, a DVD drive, etc., and is a drive device for reading programs stored in the storage medium 91 .
  • the type of drive 16 may be appropriately selected according to the type of storage medium 91 .
  • the interactive program 121 may be stored in this storage medium 91 .
  • the storage medium 91 stores information such as programs by electrical, magnetic, optical, mechanical or chemical action so that computers, other devices, machines, etc. can read information such as programs. It is a medium to The support device 10 may acquire the interactive program 121 from this storage medium 91 .
  • a disk-type storage medium such as a CD or DVD is illustrated.
  • the type of storage medium 91 is not limited to the disc type, and may be other than the disc type.
  • a storage medium other than the disk type for example, a semiconductor memory such as a flash memory can be cited.
  • the control unit 11 may include multiple processors.
  • the support device 10 may be composed of a plurality of information processing devices.
  • the support device 10 may be an information processing device designed exclusively for the service provided, or may be a general-purpose server device, a PC (Personal Computer), or the like.
  • FIG. 3 is a figure which illustrates typically an example of the hardware constitutions of PLC2 which concerns on embodiment.
  • the PLC 2 is a computer to which a control section 21, a storage section 22, an input/output interface 23, and a communication interface 24 are electrically connected.
  • the PLC 2 is thereby configured to control the operation of each mechanism of the production line 3 .
  • the input/output interface and the communication interface are indicated as "input/output I/F" and "communication I/F", respectively.
  • the control unit 21 includes a CPU, RAM, ROM, etc., and is configured to execute various types of information processing based on programs and data.
  • the storage unit 22 is configured by, for example, RAM, ROM, etc., and stores a control program 221, state data 222, log data 223, and the like.
  • a control program 221 is a program for controlling the operation of the production line 3 .
  • State data 222 is data relating to the state of each mechanism.
  • the log data 223 is data indicating an operation log of the production line 3 .
  • the input/output interface 23 is an interface for connecting with an external device, and is appropriately configured according to the external device to be connected.
  • PLC 2 is connected to production line 3 via input/output interface 23 .
  • the communication interface 24 is, for example, a wired LAN module, a wireless LAN module, etc., and is an interface for performing wired or wireless communication.
  • the PLC 2 can perform data communication with the support device 10 via the communication interface 24 .
  • the controller 21 may include multiple processors.
  • the storage unit 22 may be configured by RAM and ROM included in the control unit 21 .
  • the storage unit 22 may be composed of an auxiliary storage device such as a hard disk drive or solid state drive.
  • the PLC 2 may be replaced with a general-purpose desktop PC, tablet PC, or the like, depending on the object to be controlled, in addition to an information processing device designed exclusively for the service provided.
  • FIG. 4 is a diagram schematically illustrating an example of the hardware configuration of the server 50 according to the embodiment.
  • the server 50 according to the embodiment is a computer to which a control unit 51, a storage unit 52, and a communication interface 53 are electrically connected.
  • the communication interface is described as "communication I/F.”
  • the control unit 51 includes a CPU (Central Processing Unit), which is a hardware processor, RAM (Random Access Memory), ROM (Read Only Memory), etc., and controls each component according to information processing.
  • the storage unit 52 is, for example, an auxiliary storage device such as a hard disk drive or solid state drive, and stores an analysis program 521 and the like executed by the control unit 51 .
  • the analysis program 521 is a program that functions as a chatbot, and cooperates with the support device 10 to estimate the cause of an abnormality that has occurred in the production line 3 based on data sent and received from the support device 10 .
  • the server 50 acquires information (first information) indicating the state of the production line 3 in response to a request related to an abnormality or occurrence of an event, Based on the obtained information (first information), the content of the abnormality that has occurred is determined. Further, the server 50 requests another information (second information) from the user via the support device 10 according to the content of the abnormality, and requests another information (second information) from the user via the support device 10. information). Then, the server 50 estimates the cause of the occurring abnormality based on the acquired information (first information) and other information (second information). The server 50 notifies the user of the estimated cause of the abnormality via the support device 10 .
  • the communication interface 53 is, for example, a wired LAN (Local Area Network) module, a wireless LAN module, etc., and is an interface for performing wired or wireless communication via a network.
  • the communication interface 13 allows the server 50 to perform data communication with the support device 10 via the network.
  • the type of network may be appropriately selected from, for example, the Internet, wireless communication network, mobile communication network, telephone network, dedicated network, and the like.
  • the control unit 11 may include multiple processors.
  • the support device 10 may be composed of a plurality of information processing devices.
  • the support device 10 may be an information processing device designed exclusively for the service provided, or may be a general-purpose server device, a PC (Personal Computer), or the like.
  • FIG. 5 is a diagram schematically illustrating an example of a software configuration of server 50 according to the embodiment.
  • the control unit 51 of the server 50 expands the analysis program 521 stored in the storage unit 52 to RAM. Then, the control unit 51 causes the CPU to interpret and execute the analysis program 521 developed in the RAM, and controls each component.
  • the server 50 according to the embodiment includes, as software modules, a first acquisition unit 111, a second acquisition unit 112, an abnormality content determination unit 113, a cause estimation unit 114, a notification It includes a unit 117 , an additional information acquisition unit 118 , and a confirmation unit 115 .
  • the first acquisition unit 111 acquires information (first information) indicating the state of the mechanisms that make up the production line 3 .
  • the abnormality content determination unit 113 determines the content of the abnormality that has occurred based on the acquired information.
  • the second acquisition unit 112 requests another information (second information) from the support device 10 according to the content of the abnormality, and obtains the other information (second information) via the support device 10 according to the user's instruction. ).
  • the cause estimation unit 114 estimates the cause of the occurrence based on the acquired first information and second information.
  • the notification unit 117 notifies the user of the estimated cause of the abnormality via the support device 10 .
  • the confirmation unit 115 confirms with the user via the support device 10 whether or not the abnormality in the production line 3 has been resolved.
  • the confirmation unit 115 acquires confirmation information indicating that the abnormality has been resolved according to the user's instruction, and ends the process.
  • confirming unit 115 receives confirmation information indicating that the abnormality has not been resolved according to the user's instruction
  • confirming unit 115 outputs the information to additional information acquiring unit 118 .
  • the additional information acquisition unit 118 requests additional information from the user via the support device 10 according to the confirmation information indicating that the abnormality is not resolved, and acquires the additional information via the support device 10 according to the user's instruction.
  • Cause estimation unit 114 estimates the cause of the occurrence based on the acquired first information, second information, and additional information, including the additional information acquired by additional information acquisition unit 118 . Then, as described above, the notification unit 117 notifies the user of the estimated cause of the abnormality via the support device 10 . Further, the confirmation unit 115 confirms with the user via the support device 10 whether or not the abnormality in the production line 3 has been resolved, and the confirmation unit 115 acquires confirmation information indicating that the abnormality has been resolved according to the user's instruction. End the process. Note that the confirmation unit 115 repeats the above process when the abnormality is not resolved.
  • each software module of the server 50 will be described in detail in an operation example described later. Note that the embodiment describes an example in which each software module of the server 50 is realized by a general-purpose CPU. However, some or all of the above software modules may be implemented by one or more dedicated hardware processors. Also, regarding the software configuration of the server 50, software modules may be omitted, replaced, or added as appropriate according to the embodiment.
  • Server 50 is shown as a Bot.
  • FIG. 6 is a sequence diagram explaining the data flow between the user and the bot according to the embodiment.
  • the user confirms the abnormality that has occurred in the production line 3 and notifies the bot of the abnormality (sequence Sq0).
  • Bot receives the notification and requests information (sequence Sq2).
  • the bot requests information indicating the status of the production line 3 .
  • a bot requests log data.
  • the first acquisition unit 111 requests log data from the support device 10 upon receiving a notification that there is an abnormality.
  • the user receives the information request from the bot and acquires information indicating the state of the production line 3 (sequence Sq4).
  • a user acquires the log data 223 from PLC2.
  • the user sends the acquired information to Bot (sequence Sq6).
  • the user sends the log data 223 as the acquired information to the bot.
  • Bot analyzes the abnormality based on the information (sequence Sq8).
  • First acquisition unit 111 outputs acquired log data 223 to abnormality content determination unit 113 .
  • the abnormality content determination unit 113 analyzes the abnormality included in the log data 223 .
  • Bot determines the content of the abnormality (sequence Sq10).
  • the abnormality content determination unit 113 determines the content of the analyzed abnormality based on the log data 223 .
  • Bot requests information from the user to identify the cause of the abnormality (sequence Sq12).
  • the abnormality content determining unit 113 requests another information for estimating the cause of the abnormality according to the determined content of the abnormality.
  • the abnormality content determination unit 113 instructs the second acquisition unit 112 .
  • the second acquisition unit 112 requests the state data 222 from the support device 10 according to the instruction from the abnormality content determination unit 113 .
  • the user receives the information request from the bot and acquires the requested information (sequence Sq14).
  • a user obtains state data 222 from PLC2.
  • the user sends the acquired information to Bot (sequence Sq16).
  • the user sends the state data 222 to the bot as the acquired information.
  • Bot estimates the cause of the abnormality based on the information (sequence Sq18).
  • Second acquiring section 112 outputs acquired state data 222 to cause estimating section 114 .
  • Cause estimation unit 114 estimates the cause of the abnormality based on log data 223 and state data 222 .
  • Bot then notifies the estimated cause of the abnormality (sequence Sq20).
  • the cause estimation unit 114 instructs the notification unit 117 to output the estimated cause of the abnormality.
  • the notification unit 117 notifies the cause of the abnormality of the support device 10 .
  • the user executes a procedure for resolving the abnormality based on the estimated cause of the abnormality notified from the bot. As a result, the user can quickly obtain the cause of the abnormality that has occurred in the control system.
  • the bot also requests confirmation information as to whether or not the abnormality in the production line 3 has been resolved (sequence Sq30).
  • the user determines that the abnormality in the production line 3 has been resolved according to the estimated cause of the abnormality, the user notifies confirmation information to the effect that the abnormality has been resolved (sequence Sq32).
  • the bot receives confirmation information from the user that the problem has been resolved, and ends the process.
  • FIG. 7 is an example diagram (part 1) explaining the interactive screen 300 according to the embodiment. As shown in FIG. 7, here, the interaction between the user and the bot is specifically shown in a chat format.
  • the dialog screen 300 is a screen output and displayed on a display, which is an example of the output device 15 , by the control unit 11 executing the dialog program 121 stored in the storage unit 12 of the support device 10 .
  • the user can use the chatbot function of the server 50 via the support device 10 using the dialogue screen 300 .
  • the user exchanges data with the server 50 by inputting information (file data, etc.) using the input device 14 .
  • the user inputs a comment 302 ("Hello”).
  • the Bot responds to the user's input with a comment 304 ("Hello. What can I do for you?").
  • the user then enters a comment 306 ("I want to troubleshoot”).
  • Bot responds to comment 306 with comment 308 ("Please send me the NJ/NX event log.
  • the acquisition method is as follows.”). It also provides information on how to save event logs.
  • the bot recognizes that the comment 306 (“I want to troubleshoot”) is a request related to an abnormality or the occurrence of an event, and requests transmission of information (log data). Instead, other comments may be recognized as requests relating to anomalies or occurrences of events, and transmission of information may be requested.
  • the Bot responds to the comment 310 and performs anomaly analysis.
  • the bot replies with a comment 312 ("The following information has been received. Analysis will start. ⁇ Event log"). Also, when the analysis is completed and the content of the abnormality is determined, the Bot replies with a comment 314 ("Event log has been analyzed. Process data reception timeout has occurred.”). In addition, the bot sends a comment 316 ("This anomaly may be caused by the following factors. Frames are lost somewhere in the network. Frames are corrupted somewhere in the network"). Reply. The Bot also replies with a comment 318 ("Do you need further analysis?").
  • FIG. 8 is an example diagram (part 2) illustrating the interactive screen 300 according to the embodiment.
  • the Bot requests information in response to comments 320 .
  • the bot replies with a comment 322 ("Please send the following information. Diagnosis, statistical information, and network configuration information. Acquisition method is as follows.”).
  • Information is also provided on how to store diagnostic and statistical information.
  • the requested information is based on the content of the anomaly determined by the analysis. In this example, as an example, "process data reception timeout" is determined as the content of the abnormality, and the requested information differs depending on the content of the abnormality determined.
  • the user enters a comment 324 ("Attach").
  • the file data of diagnostic/statistical information (“YYY.csv”) and the file data of network configuration information (“ZZZ.csv”) are also input.
  • the bot estimates the cause of the anomaly.
  • the Bot returns a comment 326 (“Received. Start analysis.”).
  • the Bot finishes analysis and estimates the cause of an abnormality, it returns a comment 328 (“Error frame has been identified. ⁇ Node address: 110 ⁇ Model: GX-ID1611 ⁇ Port name: PortA ⁇ Number of error frames received: 255”) is returned.
  • the Bot also returns a comment 330 ("Please replace the cable between nodes 184 and 110. Please check the link below for more information.”).
  • the Bot also returns accessible file data (“PDF”).
  • PDF accessible file data
  • the Bot also returns a comment 332 ("Is the problem solved?") confirming whether or not the anomaly has been resolved.
  • Bot responds to the comment 334 and terminates the processing on the dialogue screen.
  • the bot replies with the comment 318, responds to the comment 320 from the user, and replies with the comment 322.
  • the bot is not limited to this.
  • the comment 322 may be returned without performing the processing of .
  • the bot may reply to the user as a comment that summarizes the comments 326, 328, 330, and 332, and can be changed as appropriate.
  • FIG. 9 is a sequence diagram explaining the flow of data between the user and the bot according to Modification 1 of the embodiment.
  • Confirmation unit 115 outputs the information to additional information acquisition unit 118 when confirmation information indicating that the abnormality is not resolved according to the user's instruction is received.
  • the bot Upon receiving confirmation information from the user indicating that the abnormality has not been resolved, the bot requests additional information from the user to identify the cause of the abnormality (sequence Sq34).
  • the additional information acquisition unit 118 requests additional information from the user via the support device 10 according to the confirmation information indicating that the abnormality has not been resolved.
  • the user receives the request for additional information from the bot and acquires the requested additional information (sequence Sq36). As an example, the user acquires information on image data. Next, the user sends the acquired information to Bot (sequence Sq38). As an example, the user sends image data to the bot as the acquired information. Bot estimates the cause of the abnormality based on the information (sequence Sq40). Additional information acquiring section 118 outputs the acquired image data to cause estimating section 114 .
  • Cause estimation unit 114 estimates the cause of an abnormality based on log data 223, state data 222, and image data. Then, the processing after sequence Sq20 is repeated. That is, the bot notifies the estimated cause of the abnormality.
  • Cause estimation unit 114 instructs notification unit 117 to output the estimated cause of abnormality.
  • the notification unit 117 notifies the cause of the abnormality of the support device 10 .
  • the bot requests confirmation information as to whether or not the abnormality in the production line 3 has been resolved.
  • the user notifies confirmation information to the effect that the abnormality in the production line 3 has been resolved or has not been resolved according to the estimated cause of the abnormality.
  • the bot When the bot receives confirmation information that the anomaly has not been resolved, it requests additional information from the user. The user sends the requested additional additional information to the Bot. Bot estimates the cause of the abnormality based on the acquired information. By repeatedly executing this process until the abnormality is resolved, it is possible to narrow down the presumed cause of the abnormality occurring in the production line 3 and reach the true cause of the abnormality.
  • FIG. 10 is a diagram explaining an example of image data of a communication unit according to Modification 1 of the embodiment.
  • image data of a terminal portion of a communication unit provided in production line 3 is shown.
  • the terminal section has a plurality of terminals to which wiring can be connected.
  • terminals A1 to A8 and terminals B1 to B8 are provided.
  • the user acquires image data of the terminal portion and sends it to the bot.
  • the bot acquires the image data and analyzes the image data to confirm the connection relationship between the terminals.
  • a bot can store image data in which wires are not connected to terminals as reference data in advance, and compare the reference data with the obtained image data to check whether there is wire connection or not. is.
  • the bot can check the connection relationship between terminals and estimate a connection abnormality based on the connection relationship between terminals as the cause of the abnormality.
  • the bot can then notify the user of the connection abnormality.
  • the bot may notify the user of the solution together with the notification of the connection abnormality.
  • the user can receive the notification and grasp the cause of the abnormality estimated by the bot.
  • the user executes a procedure for resolving the abnormality based on the estimated cause of the abnormality notified from the bot. As a result, the user can quickly obtain the cause of the abnormality that has occurred in the control system.
  • Modification 2 In the above modification 1, the case where the image data of the terminal part of the communication unit is acquired as the additional information and sent to the bot has been described, but it is not particularly limited to the communication unit, and the other production line 3 is configured. The same is true for the mechanism.
  • FIG. 11 is a diagram explaining the layout configuration of the thermocouple input unit according to Modification 2 of the embodiment. 11(A) to (F) show six layout patterns of thermocouple units mounted in the board.
  • the bot determines that there is an abnormality in the thermocouple unit based on log data.
  • the bot determines that the thermocouple unit has an abnormality, it requests the layout image of the thermocouple unit from the user.
  • FIG. 11A is a proper layout configuration.
  • the user acquires image data of the layout of the thermocouple input unit in response to the Bot's request and sends it to the Bot.
  • the bot acquires the image data and analyzes the image data to confirm whether or not the layout is proper.
  • the bot previously holds the image data of the plurality of layout patterns as reference data, and compares the reference data with the acquired image data to confirm whether or not the layout patterns are arranged in an appropriate layout. It is possible.
  • the Bot can notify the user if there is an abnormality in the layout.
  • the bot may notify the user of an appropriate layout drawing as a solution together with the notification of the layout-related abnormality.
  • the user can receive the notification and grasp the cause of the abnormality estimated by the bot.
  • the user executes a procedure for resolving the abnormality based on the estimated cause of the abnormality notified from the bot. As a result, the user can quickly obtain the cause of the abnormality that has occurred in the control system.
  • FIG. 12 is a diagram explaining the state of the photoelectric sensor according to Modification 3 of the embodiment. Referring to FIG. 12, a case where a portion of the photoelectric sensor is stained is shown. If the light-projecting surface or the light-receiving surface is dirty, the amount of light decreases, which may lead to erroneous detection.
  • the bot determines that there is an abnormality in the photoelectric sensor based on log data.
  • the bot determines that the photoelectric sensor has an abnormality, it requests the user for an image showing the state of the photoelectric sensor.
  • the user acquires image data indicating the state of the photoelectric sensor in response to the Bot's request and sends it to the Bot.
  • the bot acquires the image data and analyzes the image data to confirm whether or not the photoelectric sensor is operating normally. For example, a bot can analyze image data to see if there is dirt.
  • the Bot can notify the user to that effect.
  • the bot may notify the user of the abnormality related to the state of the photoelectric sensor and, as a solution, notify the user to clean the light projecting surface or the light receiving surface.
  • the user can receive the notification and grasp the cause of the abnormality estimated by the bot.
  • the user executes a procedure for resolving the abnormality based on the estimated cause of the abnormality notified from the bot. As a result, the user can quickly obtain the cause of the abnormality that has occurred in the control system.
  • the abnormal state of the CPU unit can be estimated based on the light emitting states of the LEDs 400-404.
  • step S2 It is determined whether or not the LED 404 is ON (step S2). Next, if it is determined in step S2 that the LED 404 is ON, then it is determined whether or not the LED 402 is ON (step S4).
  • step S4 if the LED 402 is blinking (blinking in step S4), the process ends (END). In this case, the process is terminated without being regarded as abnormal.
  • step S4 if the LED 402 is ON and not blinking (YES in step S4), it is determined whether the LED 400 is ON (step S6).
  • step S6 If it is determined in step S6 that the LED is ON (YES in step S6), it is determined that the CPU is abnormal (step S20). Then, the process ends.
  • step S6 determines whether connection with the support device 10 is possible (step S8). Specifically, the CPU unit inquires of the user whether or not communication connection with the support device 10 is possible, and determines whether or not connection is possible according to the input from the user.
  • step S8 when the CPU unit determines that connection with the support device 10 is possible (YES in step S8), the process is terminated without being regarded as abnormal (END).
  • step S8 when it is determined in step S8 that the CPU unit cannot be connected to the support device 10 (NO in step S8), it is determined that the CPU is abnormal (step S20). Then, the process ends.
  • step S4 if the LED 402 is not ON (NO in step S4), it is determined whether the LED 400 is ON (step S10).
  • step S10 If it is determined in step S10 that the LED 400 is ON (YES in step S10), it is determined that system initialization is abnormal (step S16). Then, the process ends.
  • step S10 If it is determined in step S10 that the LED 400 is not turned on (NO in step S10), the CPU unit determines whether connection with the support device 10 is possible (step S12).
  • step S12 when the CPU unit determines that connection with the support device 10 is possible (YES in step S12), the process is terminated without being regarded as abnormal (END).
  • step S12 when it is determined in step S12 that the CPU unit cannot be connected to the support device 10 (NO in step S12), it is determined that there is a CPU reset/hardware initialization abnormality (step S18). Then, the process ends.
  • the bot determines that there is an abnormality in the CPU unit based on log data.
  • the bot determines that there is an abnormality in the CPU unit, it requests the user for video image data for a predetermined period that indicates the state of the LED of the CPU unit.
  • the user acquires moving image data of a moving image showing the state of the LED of the CPU unit for a predetermined period and sends it to the bot.
  • the bot acquires the moving image data and determines the abnormality according to the flow described above, thereby determining the type of abnormal state of the CPU unit.
  • the Bot can notify the user to that effect.
  • the bot may notify the user of an abnormality related to the state of the abnormality of the CPU unit and also of the action required as a solution.
  • the user can receive the notification and grasp the cause of the abnormality estimated by the bot.
  • the user executes a procedure for resolving the abnormality based on the estimated cause of the abnormality notified from the bot. As a result, the user can quickly obtain the cause of the abnormality that has occurred in the control system.
  • FIG. 14 is a diagram schematically illustrating an example of a usage scene of the information processing system 1# according to Modification 5 of the embodiment.
  • server 50 is connected to PLC 2, which is different.
  • the server 50 since the server 50 was not connected to the PLC 2, the information necessary for estimating the abnormality that occurred in the production line 3 was acquired by the user's input via the support device 10. rice field.
  • the server 50 may acquire necessary information from the PLC 2. Specifically, the server 50 may acquire the log data held by the PLC 2 by itself.
  • the user sends a comment 306 (“I want to troubleshoot”) in FIG.
  • a comment 306 (“I want to troubleshoot”) in FIG.
  • the bot recognizes and requests the transmission of information (log data), but the bot is not limited to this, and the bot may operate without input from the user and request information from the user.
  • server 50 can detect an abnormality via PLC 2.
  • FIG. Therefore, the server 50 may respond to an abnormality that has occurred in the PLC 2, recognize the occurrence of an abnormality request or an event, and request transmission of information.
  • the server 50 sends the state data 222 to the server 50 as another information requested from the user. may be sent to the server 50 to estimate the contents of the abnormality.
  • the server 50 may request the user to hear the driving sound of the actuator as voice information, and the user may confirm the malfunction of the actuator based on the driving sound by sending the driving sound to the server 50. good.
  • the user may be requested to make an operation sound other than the drive sound.
  • the server 50 may request the operation sound of the CPU unit, and the user may confirm the abnormality of the CPU unit based on the operation sound by sending the operation sound to the server 50 .
  • an abnormality in a heat radiation fan or an abnormal sound due to deterioration of an electrolytic capacitor may be detected.
  • the server 50 requests data from the vibration sensor from the user.
  • the user sends vibration data according to the vibration sensor of the production line 3 to the server 50 .
  • the server 50 may estimate an abnormality in the production line 3 based on vibration data or the like.
  • the user is requested to send various sensor data, such as an odor sensor and an infrared sensor, not limited to the vibration sensor, to the server 50 .
  • the server 50 may estimate an abnormality in the production line 3 based on various sensor data and the like. The combination of various sensors and the like can be changed as appropriate.
  • the server 50 requests information related to any one of the five human senses of sight, hearing, taste, smell and touch as additional information or additional information using the various sensors described above. , may be acquired via the support device 10 .
  • the server 50 estimates the cause of the abnormality based on the obtained information.
  • the server 50 is not limited to sensors, and requests information acquired by the user's own five senses as separate information or additional information. may be entered.
  • the server 50 may obtain raw information on the site that cannot be obtained by devices such as sensors, and use it to estimate the cause of the abnormality. Even if there is no sensor at the site, it is possible to acquire more information than the sensor because the user (person) is present at the site.
  • the information processing system can estimate the cause of the abnormality based on the cooperation of sensing and control utilizing the five human senses.
  • An additional information acquisition unit (118) that requests additional information from the user and acquires the additional information from the user when it is determined that the abnormality is not resolved based on the confirmation result of the confirmation unit, 6.
  • 1, 1# information processing system 3 production line, 6 transport mechanism, 8 imaging section, 10 support device, 11, 21, 51 control section, 12, 22, 52 storage section, 13, 24, 53 communication interface, 14 input Device, 15 Output device, 16 Drive, 23 Input/output interface, 50 Server, 91 Storage medium, 111 First acquisition unit, 112 Second acquisition unit, 113 Abnormal content determination unit, 114 Cause estimation unit, 115 Confirmation unit, 117 Notification 118 additional information acquisition unit 121 dialogue program 221 control program 222 status data 223 log data 300 dialogue screen.

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