Remote maintenance system for plant monitoring and control systems

Abstract

To prevent a failure or an abnormality of each device constituting a plant.SOLUTION: Hardware information and resource information of a plant monitoring control terminal 1 and a maintenance terminal 2 are collected, and software version information of the plant monitoring control terminal 1 and the maintenance terminal 2 are collected. A server device 13 performs analysis on the basis of the hardware information and the resource information to predict failures of the plant monitoring control terminal 1 and the maintenance terminal 2, and determines whether software version-up is necessary on the basis of the software version information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present application relates to a remote maintenance system for a plant monitoring and control system. [Background technology]

[0002] In some conventional plants, sensors are attached to on-site equipment that constitutes the plant to monitor the equipment status and predict equipment abnormalities (see Patent Documents 1, 2 and 3). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2008-206135 [Patent Document 2] Japanese Patent Application Laid-Open No. 2003-289585 [Patent Document 3] Patent Publication No. 2021-22290 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional plant monitoring and control systems are composed of devices such as monitoring and control terminals, process control devices, maintenance terminals, and DB devices. Although failure of these devices would disrupt plant operations, there is a problem in that failure prediction is not performed appropriately. Furthermore, monitoring and control terminals generally use personal computers (PCs) equipped with a basic operating system (OS) or system software. After a system goes live, security patches are released, problems that occur at other plants are fixed, and software versions are updated. However, in order to understand the software versions at each plant, it was necessary to check the plant terminals directly.

[0005] The present application discloses technology for solving the above-mentioned problems, and aims to enable users to be aware of failures and abnormalities in each device, thereby preventing failures and abnormalities in each device before they occur. [Means for solving the problem]

[0006] The remote maintenance system for a plant monitoring and control system disclosed in the present application includes: a plant monitoring and control terminal that controls plant equipment, receives process data from the plant equipment, and displays the process data on a display device; a maintenance terminal having a function of maintaining the entire plant; The plant monitoring and control terminal and the maintenance terminal For each device, at regular intervals a device status collection unit that collects hardware information and resource information; The plant monitoring and control terminal and the maintenance terminal For each device, at startup a device software version collection unit that collects software version information; acquiring information collected by the device status collection unit and the device software version collection unit; performing an analysis based on the hardware information and the resource information to predict failures of the plant monitoring control terminal and the maintenance terminal; The above Software Version information a server device having a data analysis unit that determines whether a software upgrade is necessary based on the The remote maintenance terminal includes a software version information transmission unit that transmits the latest software version information to the server device, and a data analysis result viewing unit that allows the results of analysis by the data analysis unit to be viewed. [Effects of the Invention]

[0007] The remote maintenance system for a plant monitoring and control system disclosed in the present application allows a user to know failures and abnormalities in each device, thereby making it possible to prevent failures and abnormalities in each device before they occur. [Brief explanation of the drawings]

[0008] [Figure 1]1 is a conceptual diagram showing a remote maintenance system for a plant monitoring and control system according to a first embodiment. [Figure 2] 2 is a block diagram showing the configuration of a plant monitoring and control terminal in the plant monitoring and control system according to the first embodiment. FIG. [Figure 3] 2 is a block diagram showing the configuration of an equipment information collection terminal in the plant monitoring and control system according to the first embodiment. FIG. [Figure 4] 1 is a block diagram showing a configuration of a remote maintenance terminal in a remote maintenance system of a plant monitoring and control system according to Embodiment 1. FIG. [Figure 5] 1 is a block diagram showing a configuration of a server device in a remote maintenance system for a plant monitoring and control system according to a first embodiment. [Figure 6] 4 is a diagram showing an example of storage of results collected by an equipment status collecting unit in the plant monitoring and control system according to the first embodiment. [Figure 7] 4 is a diagram showing an example of storage of results collected by an equipment software version collection unit in the plant monitoring and control system according to the first embodiment. [Figure 8] FIG. 1 is a block diagram showing a learning device. [Figure 9] FIG. 1 is a block diagram illustrating an inference device. [Figure 10] 10 is a flowchart illustrating a learning process of the learning device. [Figure 11] 10 is a flowchart relating to the processing of the inference device. [Figure 12] FIG. 10 is a block diagram showing the configuration of an equipment information collection terminal in the plant monitoring and control system according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Embodiment 1 This embodiment relates to a remote maintenance system for a plant monitoring and control system, and to a method for remotely maintaining the plant monitoring and control system. The first embodiment will be described below with reference to the drawings. FIG. 1 is a conceptual diagram showing a remote maintenance system for a plant monitoring and control system according to a first embodiment. 1, a plant monitoring and control system 100 includes plant monitoring and control terminals 1A and 1B, a maintenance terminal 2, a DB (database) device 3, process control devices 6A and 6B, power generation or other plant equipment 7A, 7B, 7C, and 7D, and an equipment information collection terminal 9. The plant monitoring and control terminals 1A and 1B and the process control devices 6A and 6B are connected by a control network 4 serving as a communication circuit. The process control devices 6A and 6B are also connected to the plant equipment 7A-7D by field networks 8A and 8B serving as communication circuits. The plant monitoring and control terminals 1A and 1B, the maintenance terminal 2, the DB device 3, the process control devices 6A and 6B, and the equipment information collection terminal 9 are also connected by an information network 5 serving as a communication circuit.

[0010] The process control devices 6A and 6B collect process data from the plant equipment 7A-7D that make up the plant and output control commands to the plant equipment 7A-7D. The plant monitoring and control terminals 1A and 1B are HMIs (HUMAN MACHINE INTERFACEs) operated by operators. Operation commands input by the operators to the plant monitoring and control terminals 1A and 1B are transmitted to the process control devices 6A and 6B via the control network 4. The results calculated by the process control devices 6A and 6B based on these operation commands are transmitted to the plant equipment 7A-7D via the field networks 8A and 8B, and control is performed.

[0011] Furthermore, the plant monitoring and control terminals 1A, 1B receive, via the control network 4, the process data of the plant devices 7A to 7D collected by the process control devices 6A, 6B via the field networks 8A, 8B, and display it on a display device. As the plant monitoring and control terminals 1A, 1B, a general PC (PERSONAL COMPUTER) is used, and is equipped with a CPU (CENTRAL PROCESSING UNIT), memory, an external storage device, a display device such as a monitor, and input devices such as a mouse and a keyboard.

[0012] 2 is a block diagram showing the configuration of the plant monitoring control terminals 1A and 1B. Other configurations of the plant monitoring control terminals 1A and 1B will be described below. The equipment status collection unit 21 collects H / W (HARDWARE) information such as HDD (HARD DISK DRIVE) operating time, system operating time, fan rotation speed, and case temperature of the plant monitoring and control terminals 1A and 1B, and resource information such as CPU usage, memory usage, disk IO (INPUT OUTPUT), and network usage of each process running on the terminal. Furthermore, the equipment software version collection unit 22 collects the various software versions installed in the plant monitoring control terminals 1A and 1B. The collected data is stored in the data storage unit .

[0013] The maintenance terminal 2 has the function of maintaining the entire plant, and specifically has the function of setting and downloading parameters for each device that makes up the plant, the function of creating control logic that operates the process control devices 6A and 6B and setting and downloading signal lists, and the function of creating graphic data to be displayed on the plant monitoring control terminals 1A and 1B and setting and downloading signal lists. As with the plant monitoring and control terminals 1A and 1B, a general PC is used as the maintenance terminal 2. As with the plant monitoring and control terminals 1A and 1B, other components include an equipment status collection unit 21, an equipment software version collection unit 22, and a data storage unit 23.

[0014] The DB device 3 has a data storage function for storing data collected by the plant monitoring control terminals 1A and 1B. A general PC is used as the DB device 3, similar to the plant monitoring control terminals 1A and 1B or the maintenance terminal 2. Furthermore, similar to the plant monitoring control terminals 1A and 1B or the maintenance terminal 2, the DB device 3 is provided with an equipment status collection unit 21, an equipment software version collection unit 22, and a data storage unit 23. If the plant monitoring control terminals 1A and 1B are provided with a data storage function, the DB device 3 may not be installed.

[0015] 3 is a block diagram showing the configuration of the equipment information collecting terminal 9. The configuration of the equipment information collecting terminal 9 will be described. The equipment information collecting terminal 9 is connected to the plant monitoring control terminals 1A and 1B, the maintenance terminal 2, and the DB device 3 via the information network 5, and includes a data collection unit 31 that collects data stored in the data storage unit 23 of each terminal. In addition, the equipment information collection terminal 9 is connected to a server device 13 on the cloud 12 via the Internet 11, and is equipped with a data transmission unit 32 that transmits data collected by the data collection unit 31 to the server device 13 on the cloud 12. As the equipment information collection terminal 9, a general PC is used, similar to the plant monitoring control terminals 1A, 1B or the maintenance terminal 2.

[0016] A remote maintenance terminal 10 is installed within the service maker 200. FIG. 4 is a block diagram showing the configuration of the remote maintenance terminal 10. The configuration of the remote maintenance terminal 10 will be described below. As the remote maintenance terminal 10, a general PC is used, similar to the plant monitoring control terminals 1A, 1B, or the maintenance terminal 2. The remote maintenance terminal 10 is connected to the Internet 11, and is connected to a server device 13 on a cloud 12 via the Internet 11. The remote maintenance terminal 10 is equipped with a software version information transmission unit 41 that transmits the latest current software version information to the server device 13 on the cloud 12, and a data analysis result viewing unit 42 that allows the results of analysis performed by the server device 13 on the cloud 12 to be viewed.

[0017] The remote maintenance system for a plant monitoring and control system according to this embodiment includes a server device 13 of a cloud service provider connected to the Internet 11 in addition to the above-mentioned devices. 5 is a block diagram showing the configuration of the server device 13. The configuration of the server device 13 will be described. The server device 13 includes a data storage unit 51 and a data analysis unit 52. The data storage unit 51 stores data transmitted from the in-plant equipment information collection terminal 9. The data analysis unit 52 analyzes the information of each device in the plant stored in the data storage unit 51.

[0018] Next, the operation of the plant monitoring and control system according to this embodiment will be described. The equipment status collection unit 21 installed in the plant monitoring and control terminal 1A, 1B or the maintenance terminal 2 collects hardware information such as HDD operating time, system operating time, fan rotation speed, and chassis temperature, as well as resource information such as CPU usage, memory usage, disk IO, and network usage for each process running on the terminal. Hardware information and resource information are collected at regular intervals, and the collected data is saved with a timestamp. The collection interval can be freely changed using a definition file. The collected data is saved in the data saving unit 23. FIG. 6 shows an example of data collected by the device status collection unit 21 and stored in the data storage unit 23.

[0019] The equipment software version collection unit 22 collects various software versions installed in the plant monitoring and control terminals 1A, 1B or the maintenance terminal 2. Unlike H / W information or resource information, the software version is not changed during normal operation, so it is collected when the equipment is started up and stored in the data storage unit 23. FIG. 7 shows an example of software versions collected by the device software version collection unit 22 and stored in the data storage unit 23.

[0020] Next, we will explain the operation of the equipment information collecting terminal 9. The data collection unit 31 in the equipment information collecting terminal 9 collects data stored in the data storage units 23 of the plant monitoring control terminals 1A and 1B, the maintenance terminal 2, and the DB device 3 via the information network 5. The collected data is transmitted by the data transmission unit 32 to the server device 13 on the cloud 12 .

[0021] Next, a description will be given of the operation of the remote maintenance terminal 10. The remote maintenance terminal 10 is used by a person in charge of the service manufacturer 200. A software version information transmission unit 41 in the remote maintenance terminal 10 transmits software information that is updated daily to a server device 13 on the cloud 12. The version information is input into the remote maintenance terminal 10 by a person in charge of the service manufacturer 200. The manufacturer person updates the version information in the remote maintenance terminal 10 every time the software version they manage is updated.

[0022] The data analysis result viewing unit 42 can access the server device 13 and view the results of the analysis performed by the data analysis unit 52. A specific analysis method performed by the data analysis unit 52 will now be described. For example, in a power generation plant, the data analysis unit 52 determines that there is a possibility of a failure if the HDD operation time exceeds the recommended operation time. The unit of time in this case is the hour. The recommended operation time generally uses the value provided by the HDD manufacturer. In addition, the system in system uptime refers to, for example, the plant monitoring software (software) running on the plant monitoring and control terminal. If the system uptime exceeds the recommended uptime, it is determined that there is a possibility of a breakdown. The unit of time in this case is hours. Regarding fan rotation speed, PC fan failure is predicted based on the rotation speed or operating time of the PC fan installed in the plant monitoring control terminals 1A, 1B or maintenance terminal 2. For example, if the rotation speed is gradually decreasing, it is analyzed that a failure is imminent. The unit of fan rotation speed is RPM (round per minute). Regarding the case temperature, a comprehensive judgment is made based on the fan rotation speed, CPU usage rate, and case temperature. That is, a malfunction is determined when the fan rotation speed gradually decreases and the case temperature tends to rise, or when the case temperature tends to rise due to high CPU usage rate (hovering around 100%).

[0023] Additionally, changes in CPU usage or memory usage can be used to determine if there is an abnormality in the installed software. For example, if there is a sudden and sustained increase in CPU usage or memory usage, it is analyzed as a possible software abnormality. Here, the unit of CPU usage is % and the unit of memory usage is bytes. Regarding disk IO, if there is an extreme increase or decrease in disk IO compared to previous values, or if this condition continues, it is determined to be a software abnormality (for example, abnormal IO caused by a virus infection). The unit of disk IO is MB / s (megabytes per second). Furthermore, the network usage volume operating on the terminal refers to the usage volume of the control network 4 and information network 5 shown in Figure 1. The control network 4 and information network 5 have different roles. The control network 4 is for communication between the plant monitoring and control terminal 1 and the process control device 6, and only exchanges control information. In contrast, the information network 5 is for communication between, for example, the plant monitoring and control terminals 1, and is used to exchange engineering data or to check whether equipment is out of service. The unit in this case is bps (bytes per second). In this case too, if the communication volume increases and this state continues, it is determined to be a software abnormality.

[0024] Based on the analysis results, we will propose appropriate equipment update times to plant monitoring and control system users and also provide software upgrade information. Here, the plant monitoring and control system operation user does not need to be on the plant monitoring and control system premises, and when the user views the information, the service manufacturer 200 can present the results viewed on the remote maintenance terminal 10 (such as equipment failure prediction information) to the plant monitoring and control system operation user in writing. The appropriate time to update the equipment is determined based on the collected system operating time or the degree of deterioration of the equipment (such as a gradual decrease in the rotation speed of a PC fan). Regarding the updating of equipment, the service manufacturer 200 proposes to the plant monitoring and control system operation user that an update be made because a breakdown is expected to occur soon based on the analysis results, and if the user agrees, the update is made.

[0025] Next, the operation of the server device 13 will be described. The data storage unit 51 stores the device data of the plant monitoring and control system 100 transmitted by the data transmission unit 32 of the device information collection terminal 9 . The data analysis unit 52 analyzes the information stored in the data storage unit 51 using AI (artificial intelligence). Specifically, for example, changes in the rotation speed of a PC fan (for example, a gradual decrease in rotation speed, or an instability in rotation speed after a certain period of continuous operation has elapsed) are analyzed, and a failure of the plant monitoring and control terminals 1A, 1B, or the maintenance terminal 2 in the plant monitoring and control system 100 is predicted, and further, a determination is made as to whether a software upgrade is necessary.

[0026] Next, we will explain the AI-based analysis method in data analysis unit 52. The AI ​​structure in data analysis unit 52 is made up of a learning device and an inference device. Fig. 8 is a block diagram showing the learning device, where learning device 520 includes a data acquisition unit (first data acquisition unit) 521, a model generation unit 522, and a trained model storage unit 523. Fig. 9 is a block diagram of inference device 530, where inference device 530 includes a data acquisition unit 531 and an inference unit 532. First, the learning process of the learning device 520 will be described with reference to Fig. 10. Fig. 10 is a flowchart showing the learning process of the learning device 520.

[0027] In step S600, the data acquisition unit 521 acquires a plurality of inputs (first inputs) consisting of H / W information or resource information. In step S601, the model generation unit 522 generates a trained model in accordance with training data created based on a plurality of first inputs acquired by the data acquisition unit 521. In step S602, the trained model storage unit 523 stores the trained model generated by the model generation unit 522.

[0028] Next, the operation of the inference device 530 will be described. The data acquisition unit (second data acquisition unit) 531 acquires a second input (H / W information or resource information). The inference unit 532 infers an output to be obtained using a trained model. That is, by inputting the second input acquired by the data acquisition unit 531 into this trained model, it is possible to output an output inferred from the second input. Next, the process for obtaining an output using the inference device 530 will be described with reference to Fig. 11. Fig. 11 is a flowchart relating to the process of the inference device 530. In step S700, the data acquisition unit 531 acquires a second input. In step S701, the inference unit 532 inputs a second input to the trained model stored in the trained model storage unit 523 and obtains an output. In step S702, the inference unit 532 outputs the output obtained by the trained model as data output. That is, the prediction of a failure of the plant monitoring control terminal 1A, 1B, the maintenance terminal 2, etc. is output as output data.

[0029] Furthermore, deep learning, which learns to extract features themselves, can be used as the learning algorithm used in the model generation unit 522. Machine learning may also be performed according to other known methods, such as functional logic programming and support vector machines.

[0030] Regarding the necessity of a software upgrade, the data analysis unit 52 compares the various software versions collected by the equipment software version collection unit 22 and sent to the server device 13 via the equipment information collection terminal 9 with the software information sent from the software version information sending unit 41, and the AI ​​determines whether a software upgrade is necessary. However, the final decision is made by a person in charge at the service manufacturer 200. In actual operation, the AI ​​presents information, but the final decision on whether to upgrade is made by a human being, taking into consideration multiple factors such as the content of on-site work, costs, and schedule. For example, if Ver. 1.1 is currently being used, but there is a serious bug in Ver. 1.1, and Ver. 1.3 has been released to fix that bug, the decision can be made to apply Ver. 1.3.

[0031] According to this embodiment, while the plant monitoring and control system 100 is in operation, the operating hardware information, resource information, and software version information of each device constituting the plant monitoring and control system 100 are collected by each device, and then collected by the device information collection terminal 9. Furthermore, the operating data of each device can be analyzed by a server device 13 on a cloud 12 via the Internet 11, and a failure of each device can be predicted. These analysis results can be viewed remotely by a service manufacturer 200, so that an appropriate timing for updating devices can be suggested to the user operating the plant monitoring and control system 100, and software version upgrade information can be provided to the user. Here, it is assumed that the service maker 200 is located outside the site of the plant monitoring and control system 100. For example, the service maker 200 is often located in an urban area, while the plant monitoring and control system 100 is located in a suburban or remote area.

[0032] As described above, the remote maintenance system for a plant monitoring and control system according to this embodiment can predict failures in the devices that make up the plant monitoring and control system, or suggest appropriate times to update the devices, and further provide software upgrade information to the user, thereby making it possible to prevent failures and abnormalities in the devices before they occur.

[0033] Embodiment 2 In the first embodiment, the case has been shown in which equipment information is collected by the equipment status collection unit 21 and equipment software version collection unit 22 provided in the plant monitoring control terminals 1A, 1B, maintenance terminal 2, and DB device 3, and stored in the data storage unit 23, and then information on each device is collected by the data collection unit 31 in the equipment information collecting terminal 9. In contrast, the plant monitoring control terminals 1A, 1B, maintenance terminal 2, and DB device 3 may not be provided with the equipment status collection unit 21, equipment software version collection unit 22, and data storage unit 23, and the equipment information collecting terminal 9 may be provided with the equipment status collection unit 21, equipment software version collection unit 22, and data storage unit 23. FIG. 12 is a block diagram showing an equipment information collecting terminal according to a second embodiment.

[0034] An equipment status collection unit 21 and an equipment software version collection unit 22 in the equipment information collection terminal 9 collect H / W information, resource information, and equipment software versions from the plant monitoring control terminals 1A and 1B, the maintenance terminal 2, and the DB device 3 via the information network 5, and store them in a data storage unit 23. After being stored, the data is transmitted by a data transmission unit 32 to the server device 13 via the Internet 11.

[0035] In this embodiment, information about each device can be collected by connecting the equipment information collecting terminal 9 to the information network 5, without modifying the plant monitoring control terminals 1A, 1B, the maintenance terminal 2, and the DB device 3. That is, by providing the equipment status collecting unit 21 and the equipment software version collecting unit 22, which were provided in the plant monitoring control terminals 1A, 1B or the maintenance terminal 2, in the equipment information collecting terminal 9, it is possible to add the equipment information collecting terminal 9, the remote maintenance terminal 10, and the server device 13 to an existing plant later, without stopping the plant monitoring control terminals 1A, 1B, the maintenance terminal 2, and the DB device 3, and remote maintenance can be performed in the same way as in the first embodiment.

[0036] In the first embodiment, the equipment information collecting terminal 9 does not include the equipment status collecting unit 21 or the equipment software version collecting unit 22, and therefore there is a problem in that it is not possible to predict a failure of the equipment information collecting terminal 9 itself. In the present embodiment, the equipment information collecting terminal 9 is also provided with the equipment status collecting unit 21 and the equipment software version collecting unit 22, thereby making it possible to predict a failure of the equipment information collecting terminal 9. That is, since the equipment information collecting terminal 9 also uses a general PC like the plant monitoring control terminals 1A, 1B or the maintenance terminal 2, it is possible to predict a failure of the PC fan, for example, from the rotation speed or operating time of the PC fan.

[0037] Although the present application describes various exemplary embodiments and examples, the various features, aspects, and functions described in one or more embodiments are not limited to application to a particular embodiment, but may be applied to the embodiments alone or in various combinations. Therefore, countless variations not illustrated are conceivable within the scope of the technology disclosed in the present specification, including, for example, cases where at least one component is modified, added, or omitted, and cases where at least one component is extracted and combined with components of another embodiment.

[0038] Various aspects of the present disclosure will be summarized below.

[0039] (Appendix 1) a plant monitoring and control terminal that controls the plant equipment, receives process data from the plant equipment, and displays the process data on a display device; a maintenance terminal having a function of maintaining the entire plant; an equipment status collection unit that collects hardware information and resource information of the plant monitoring control terminal and the maintenance terminal; an equipment software version collection unit that collects software version information of the plant monitoring control terminal and the maintenance terminal; a server device having a data analysis unit that performs analysis based on the hardware information and the resource information to predict failures of the plant monitoring control terminal and the maintenance terminal, and determines whether or not a software upgrade is necessary based on the various software versions collected by the equipment software version collection unit; A remote maintenance system for a plant monitoring and control system comprising a remote maintenance terminal having a software version information transmission unit that transmits the latest software version information to the server device, and a data analysis result viewing unit that allows the analysis results by the data analysis unit to be viewed. (Appendix 2) a DB device having a function of storing data collected by the plant monitoring and control terminal; a device status collection unit that collects hardware information and resource information of the DB device; providing an equipment software version collection unit for collecting software version information of the DB device; 2. The remote maintenance system for a plant monitoring and control system according to claim 1, wherein the data analysis unit predicts a failure of the DB device based on the hardware information and the resource information. (Appendix 3) 2. A remote maintenance system for a plant monitoring and control system according to claim 1, wherein the equipment status collection unit and the equipment software version collection unit are provided in the plant monitoring and control terminal and the maintenance terminal. (Appendix 4) 3. A remote maintenance system for a plant monitoring and control system according to claim 2, wherein the equipment status collection unit and the equipment software version collection unit are provided in the DB device. (Appendix 5) 3. A remote maintenance system for a plant monitoring and control system according to claim 1 or 2, wherein an equipment information collection terminal is provided with a data transmission unit that transmits collected data to the server device, and the equipment status collection unit and the equipment software version collection unit are provided in the equipment information collection terminal. (Appendix 6) The remote maintenance system for a plant monitoring and control system according to any one of Supplementary Note 1 to Supplementary Note 5, wherein the remote maintenance terminal is installed within a service manufacturer and provides a user with software version updates and appropriate equipment update times based on information sent from the server device. (Appendix 7) the data analysis unit has an AI structure composed of a learning device and an inference device, the learning device includes: a first data acquisition unit that acquires a plurality of first inputs including the hardware information and the resource information; a model generation unit that generates a trained model in accordance with training data created based on the first input acquired by the first data acquisition unit; the inference device includes a second data acquisition unit that acquires a second input consisting of the hardware information and the resource information; A remote maintenance system for a plant monitoring and control system described in any one of Supplementary Note 1 to Supplementary Note 6, comprising an inference unit that inputs the second input to the trained model and outputs an output inferred from the second input. [Explanation of symbols]

[0040] 1A, 1B Plant monitoring and control terminal, 2 Maintenance terminal, 3 DB device, 4 Control network, 5 Information network, 6A, 6B Process control device, 7A~7D Plant equipment, 8A,8B Field network, 9 Equipment information collection terminal, 10 Remote maintenance terminal, 11 Internet, 12 Cloud, 13 Server device, 21 Equipment status collection unit, 22 Equipment software version collection unit, 23 Data storage unit, 31 Data collection unit, 32 Data transmission unit, 41 Software version information transmission unit, 42 Data analysis result viewing unit, 51 Data storage unit, 52 Data analysis unit, 100 Plant monitoring and control system, 200 Service manufacturer, 520 Learning device, 521,531 Data acquisition unit, 522 model generation unit, 530 inference device, 532 inference unit.

Claims

1. a plant monitoring and control terminal that controls the plant equipment, receives process data from the plant equipment, and displays the process data on a display device; a maintenance terminal having a function of maintaining the entire plant; an equipment status collection unit that collects hardware information and resource information at a fixed period for each of the plant monitoring control terminals and the maintenance terminals; an equipment software version collection unit that collects software version information for each of the plant monitoring control terminal and the maintenance terminal at startup; a server device having a data analysis unit that acquires information collected by the equipment status collection unit and the equipment software version collection unit, and performs analysis based on the hardware information and the resource information to predict failures of the plant monitoring control terminal and the maintenance terminal, and determines whether or not a software upgrade is necessary based on the software version information; A remote maintenance system for a plant monitoring and control system comprising a remote maintenance terminal having a software version information transmission unit that transmits the latest software version information to the server device, and a data analysis result viewing unit that allows the analysis results by the data analysis unit to be viewed.

2. The plant monitoring and control terminal controls the plant equipment via a process control device, a control network used for communication of only control information between the plant monitoring and control terminal and the process control device, and an information network used for communication of information including the hardware information, the resource information, and the software version information, the resource information includes communication volumes of the control network and the information network, and the data analysis unit predicts an abnormality in software installed in the plant monitoring control terminal and the maintenance terminal based on an increase in the communication volumes. A remote maintenance system for a plant monitoring and control system according to claim 1.

3. a DB device having a function of storing data collected by the plant monitoring and control terminal; a device status collection unit that collects hardware information and resource information of the DB device; providing a device software version collection unit for collecting software version information of the DB device; 2. The remote maintenance system for a plant monitoring and control system according to claim 1, wherein the data analysis unit predicts a failure of the DB device based on the hardware information and the resource information.

4. 2. The remote maintenance system for a plant monitoring and control system according to claim 1, wherein the equipment status collecting unit and the equipment software version collecting unit are provided in the plant monitoring and control terminal and the maintenance terminal.

5. 4. The remote maintenance system for a plant monitoring and control system according to claim 3, wherein the equipment status collection unit and the equipment software version collection unit are provided in the DB device.

6. 4. A remote maintenance system for a plant monitoring and control system according to claim 1, further comprising: an equipment information collection terminal having a data transmission unit that transmits collected data to the server device; and the equipment status collection unit and the equipment software version collection unit are provided in the equipment information collection terminal.

7. 6. A remote maintenance system for a plant monitoring and control system according to claim 1, wherein the remote maintenance terminal is installed within a service manufacturer and provides a user with software version updates and appropriate equipment update times based on information sent from the server device.

8. The data analysis unit has an AI structure composed of a learning device and an inference device, the learning device includes: a first data acquisition unit that acquires a plurality of first inputs including the hardware information and the resource information; a model generation unit that generates a trained model in accordance with training data created based on the first input acquired by the first data acquisition unit; the inference device includes: a second data acquisition unit that acquires a second input consisting of the hardware information and the resource information; A remote maintenance system for a plant monitoring and control system described in any one of claims 1 to 5, comprising an inference unit that inputs the second input to the trained model and outputs an output inferred from the second input.

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