TWI830341B - Monitoring support system, monitoring support device, and monitoring support method - Google Patents

Abstract

A monitoring support system comprises: a group information storage unit storing group identification information and restriction information in association with the group identification information, the group identification information identifying a group to which a user belongs, and the restriction information relating to an analysis process of analyzing acquired data of a plurality of monitoring targets; an analysis processing unit configured to, in response to an analysis request from a user terminal used by the user, execute the analysis process, based on a training model generated using, as training data, normal data of the plurality of monitoring targets; and a restriction processing unit configured to restrict a use of the user, including execution of the analysis process, based on the restriction information stored in the group information storage unit and corresponding to the group to which the user belongs.

Description

Monitoring support system, monitoring support device, and monitoring support method

This disclosure relates to a monitoring support system, a monitoring support device, and a monitoring support method.

In recent years, a monitoring system for monitoring a monitoring target such as equipment in a factory has been known (for example, see Patent Document 1). In this kind of monitoring system, the signal pattern or event history of the monitoring target is displayed on the monitoring screen, and monitoring work such as abnormality detection of the monitoring target is performed based on the past experience of the monitor. [Prior technical literature] [Patent Document]

Patent Document 1: Japanese Patent Application Publication No. 2021-149358

[Problem to be solved by the invention]

However, in the above-mentioned conventional technology, abnormality detection is affected by the power of the monitor, so abnormality detection and other situations may vary from person to person, which may reduce business efficiency.

The present disclosure was developed to solve the above-mentioned problems, and its purpose is to provide a monitoring support system, a monitoring support device, and a monitoring support method that reduce the workload of monitoring and improve business efficiency. [Means used to solve problems]

In order to solve the above-mentioned problems, one aspect of the present disclosure is a monitoring support system that includes a group information memory unit that stores group identification information for identifying the group to which the user belongs, and acquired data for analyzing the monitoring target. The analysis and processing restriction information establishes a corresponding relationship and memorizes it; the analysis and processing unit is based on the analysis request from the user terminal used by the aforementioned user and based on the learning model generated by using the normal data of the aforementioned monitoring target as learning data. The aforementioned analysis and processing are executed; and the restriction processing unit is based on the aforementioned restriction information stored in the aforementioned group information storage unit, and it is the aforementioned restriction information corresponding to the aforementioned group to which the aforementioned user belongs, and the restriction includes the aforementioned analysis and processing. Execute the use of the aforementioned users.

In addition, one aspect of the present disclosure is a monitoring support device that includes a group information storage unit that performs analysis processing of group identification information for identifying a group to which a user belongs, and analysis of acquired data for analyzing monitoring objects. establish a corresponding relationship with the restriction information and memorize it; the analysis processing unit performs the aforementioned analysis based on the analysis request from the user terminal used by the aforementioned user and based on the learning model generated by using the normal data of the aforementioned monitoring object as the learning data. processing; and the restriction processing unit is based on the aforementioned restriction information stored in the aforementioned group information storage unit, and it is the aforementioned restriction information corresponding to the aforementioned group to which the aforementioned user belongs, and the restriction includes the aforementioned execution of the aforementioned analysis process. User's use.

In addition, one aspect of the present disclosure is a monitoring support method of a monitoring support device including a group information storage unit, an analysis processing unit, and a restriction processing unit, and the group information storage unit identifies and utilizes The group identification information of the group to which the person belongs and the restriction information on the analysis and processing of the acquired data of the analysis and monitoring target are established and memorized. The monitoring support method includes the following steps: the aforementioned analysis and processing unit based on the aforementioned use The analysis request of the user terminal used by the user is executed based on the learning model generated by using the normal data of the monitoring object as the learning data; and the aforementioned restriction processing unit is memorized according to the aforementioned group information storage unit. The aforementioned restriction information is the aforementioned restriction information corresponding to the aforementioned group to which the aforementioned user belongs, and the restriction includes the steps of performing the aforementioned analysis and processing of the aforementioned user's use. [Invention effect]

According to this disclosure, the business load of monitoring can be reduced and business efficiency can be improved.

The following describes a monitoring support system, a monitoring support device, and a monitoring support method according to an embodiment of the present disclosure with reference to the drawings. FIG. 1 is a diagram showing an example of the main hardware configuration of the monitoring support system 1 of this embodiment.

As shown in FIG. 1 , the monitoring support system 1 includes an entrance server 10 and a user terminal 20 (20-1, 20-2, ˙˙˙). The monitoring support system 1 is a system that uses the portal server 10 to support the monitoring work of a monitoring target such as equipment in a factory building, and provides a service for analyzing acquisition data (analytical data) acquired from the monitoring target to the user.

In addition, in FIG. 1 , user terminal 20-1, user terminal 20-2, and ˙˙˙ have the same configuration. When any user terminal included in the monitoring support system 1 is displayed, or not In case of special distinction, the user terminal 20 will be described.

In addition, the surveillance support system 1 can be used by multiple companies (for example, company C1, company C2, ˙˙˙). For example, the user terminal 20-1 is a terminal device used by users of company C1, and the user terminal 20-2 is a terminal device used by users of company C2.

The user terminal 20 is a terminal device used by the user who uses the monitoring support system 1 . The user terminal 20 is, for example, a personal computer, a tablet terminal, or the like. The user terminal 20 can be connected to the portal server 10 via the network NW1, and performs transmission of learning data and analysis data during analysis processing. In addition, the user terminal 20 receives report information based on the analysis result of the analysis process executed by the portal server 10 and displays (outputs) the report information.

The user terminal 20 system is equipped with an NW (network) adapter H21, a memory (memory) H22, a processor (processor) H23, an input device (device) H24, and a display (display) H25. The NW adapter H11 is a communication device that can be connected to the network NW1, such as a LAN (Local Area Network) card. The NW adapter H11 performs data communication with the portal server 10 via the network NW1.

The memory H22 is, for example, a memory device such as RAM (Random Access Memory), flash memory (flash memory), HDD (Hard Disk Drive), etc., used to store the user terminal 20 Various information and programs used.

The processor H23 is, for example, a processing circuit including a CPU (Central Processing Unit). The processor H23 executes various processes of the user terminal 20 by executing programs stored in the memory H22.

The input device H24 is, for example, a keyboard, a pointing device, a touch sensor, etc. The input device H24 accepts input of various information by the user when using the monitoring support system 1 .

The display H25 is, for example, a display device such as a liquid crystal display. The display H25 displays various information when the monitoring support system 1 is used. The display H25 displays, for example, a menu screen transmitted from the portal server 10, various screens of analysis processing, analysis results, report information, and the like.

The portal server 10 is, for example, a server device having a computer system inside, and is an example of a monitoring support device that provides a service for monitoring monitoring objects such as factory equipment and the like. The portal server 10 can be connected to the user terminal 20 via the network NW1. The portal server 10 is equipped with a NW adapter H11, a memory H12, and a processor H13.

The NW adapter H11 is a communication device that can be connected to the network NW1, such as a LAN card. The memory H12 is a memory device such as RAM, flash memory, HDD, etc., used to store various information and programs used by the portal server 10 .

The processor H13 is, for example, a processing circuit including a CPU. The processor H13 executes various processes of the portal server 10 by executing programs stored in the memory H12.

Next, the functional structure of the monitoring support system 1 of this embodiment will be described with reference to FIG. 2 . FIG. 2 is a block diagram showing an example of the functional configuration of the monitoring support system 1 of this embodiment.

As shown in FIG. 2 , the monitoring support system 1 includes a portal server 10 and a user terminal 20 . In addition, in the example shown in FIG. 2 , for convenience of explanation, one user terminal 20 is shown, but a plurality of user terminals 20 may be connected to the portal server 10 via the network NW1.

The user terminal 20 includes a NW communication unit 21, an input unit 22, a display unit 23, a terminal storage unit 24, and a terminal control unit 25. The NW communication unit 21 is a functional unit realized by the NW adapter H21, and is connected to the network NW1 to perform data communication with the portal server 10, for example.

The input unit 22 is a functional unit realized by the input device H24, and receives, for example, login information for the portal server 10, designation of learning data and analysis data registered in the portal server 10, and analysis processing from the user. Enter the information etc. The input unit 22 outputs various input information received from the user to the terminal control unit 25 .

The display unit 23 is a functional unit realized by the display H25, and displays, for example, a menu screen transmitted from the portal server 10, various screens of analysis processing, analysis results, and report information.

The display unit 23 displays the analysis results corresponding to each of the plurality of monitoring objects as a list of comparative analysis information (a list of reports), for example. Here, the plurality of monitoring objects include, for example, a plurality of devices of different types that are monitored by the monitor (user of the monitoring support system 1) in a building, a factory, a hospital, a power plant, etc., and the display unit 23 This analysis information is displayed in a list.

The terminal storage unit 24 is composed of a memory H22 and is used to store various information used by the user terminal 20 . The terminal storage unit 24 stores, for example, acquired data (learning data and analysis data) of the monitoring target before login, analysis results received from the portal server 10 , and the like.

The terminal control unit 25 is a functional unit realized by causing the processor H23 to execute the program stored in the memory H22. The terminal control unit 25 executes various processes performed by the user terminal 20 . The terminal control unit 25 is connected to the portal server 10 via the NW communication unit 21 , for example, and displays the menu screen received from the portal server 10 on the display unit 23 .

In addition, the terminal control unit 25 displays the screen of the analysis process received from the portal server 10 on the display unit 23, and transmits the learning data and analysis data of the monitoring target received from the user via the input unit 22. The NW communication unit 21 transmits it to the portal server 10.

In addition, the terminal control unit 25 displays the result screen of the analysis process received from the portal server 10 , that is, a list of the analysis information of the plurality of monitoring objects, on the display unit 23 , and receives the information from the user via the input unit 22 . The selection information of the obtained analysis information is transmitted to the portal server 10 via the NW communication unit 21 . In addition, the terminal control unit 25 displays the report information received from the portal server 10 on the display unit 23 based on the selection information.

The portal server 10 includes a NW communication unit 11, a server memory unit 12, and a server control unit 13. The NW communication unit 11 is a functional unit realized by the NW adapter H11, and is connected to the network NW1 to perform data communication with the user terminal 20.

The server memory unit 12 is composed of a memory H12 and is used to store various information used by the portal server 10 . The server storage unit 12 includes: a group information storage unit 121, a user information storage unit 122, a learning data storage unit 123, a monitoring setting storage unit 124, an analysis data storage unit 125, a learning model storage unit 126, and an analysis result storage unit. 127, and report information storage department 128.

The group information storage unit 121 stores information on groups to which users of companies, organizations, groups, etc. belong. In addition, in the monitoring support system 1 of this embodiment, a service contract is concluded with a group unit such as a company, so that services provided by the portal server 10 (for example, analysis services of monitoring objects, etc.) can be used. The group information storage unit 121 stores information about groups for which service contracts have been established. The group information storage unit 121 associates and memorizes, for example, a group ID that identifies a group to which the user belongs, and restriction information on analysis processing of the acquired data of the analysis and monitoring target. Here, an example of data in the group information storage unit 121 will be described with reference to FIG. 3 .

FIG. 3 is a diagram showing an example of data in the group information storage unit 121 of this embodiment. As shown in Figure 3, the group information storage unit 121 establishes a corresponding relationship between the group ID, the management password, the group name, the number of contract signals, the number of accounts, the number of possible analyzes, the number of analysis executions, and the validity period, and Remember it.

In FIG. 3 , the group ID is group identification information that identifies the group for which the service contract has been established. In addition, the management password is, for example, a password used by the representative of the group when performing management processing such as user login. In addition, the group name indicates a group name such as a company name, an organization name, a group name, etc. for which a contract has been concluded.

In addition, the contract signal number shows the number of signals that can be used during analysis and processing. The number of contracted signals is an example of the upper limit of the number of signals to obtain data (analytical data) for the monitoring objects set for each group. In addition, the number of accounts refers to the number of user accounts that can log in within the group, and is an example of the upper limit of the number of users set for each group. In addition, the possible number of times of analysis shows the number of possible times of using analysis processing, and the number of times of possible analysis shows the number of times of execution of analysis processing. The possible number of times of analysis is an example of the execution limit of the analysis processing set for each group.

In addition, the validity period shows the usage validity period of the service of the portal server 10, and is an example of the usage period according to the analysis processing set for each group. Here, the number of contract signals, the number of accounts, the number of times analysis is possible, the number of times analysis is performed, and the validity period are examples of restriction information regarding analysis processing. In addition, in addition to the possible number of analyzes and the number of analysis executions, the upper limit number of analysis processes set for each group, such as the number of contract executions, may be stored in the group information storage unit 121 . In addition, the group information storage unit 121 may be configured to store setting information such as change information derived from contract conditions (such as usage fees, etc.) and setting information of setting options.

For example, in the example shown in Figure 3, it is displayed that the management password of the group whose group ID is "G001" is ABCDXXX" and the group name is "○○ Co., Ltd.". In addition, this group is displayed The number of contract signals is "50" and the number of accounts is "50". In addition, it shows that the number of possible analysis times is "20", the number of analysis execution times is "10", and the validity period is "2022/3/31" (2022/3/31) March 31st).

Returning to the description of FIG. 2 again, the user information storage unit 122 stores user information about users who use the portal server 10 . The user information storage unit 122 stores user information for each group. Here, an example of data in the user information storage unit 122 will be described with reference to FIG. 4 .

FIG. 4 is a diagram showing an example of data in the user information storage unit 122 in this embodiment. As shown in FIG. 4 , the user information storage unit 122 associates and stores the group ID, user ID, password, and surname.

In FIG. 4 , the group ID shows the group to which the user belongs, and the user ID shows user identification information for identifying the user. In addition, the password indicates the password that the user uses to connect to the portal server 10 and use the service. User ID and password are login information. In addition, the surname name displays the user's surname or name.

For example, in the example shown in FIG. 4 , users whose user IDs are "U10001" and "U10002" are registered in the group whose group ID is "G001". In addition, the user whose user ID is "U10001", whose password is "XXXXXX", and whose last name is "○○Taro" is displayed. In addition, the user whose user ID is "U10002", whose password is "YYYYYY", and whose last name is "○×Development Department" is displayed. In addition, the surname can also be a deployment name such as "○×Development Department".

In addition, it is shown that a user with a user ID of "U20001" is registered in the group with the group ID of "G002". In addition, the user whose user ID is "U20001", whose password is "EFGHIJ", and whose last name is "××Ichiro" is displayed. In this way, the user information storage unit 122 stores user information for each group. In addition, it is assumed that the user information system can be registered, changed, and deleted by the administrator of each group.

Returning to the description of FIG. 2 again, the learning material storage unit 123 stores the learning materials used to generate the learning model, and the learning materials are the learning materials registered by the user. The learning data storage unit 123 stores, for example, normal data of the monitoring target as learning data for each monitoring target. The learning data storage unit 123 associates and stores the group ID, user ID, monitoring object ID, signal name, and learning data, for example, similarly to the analysis data storage unit 125 described below.

The monitoring setting storage unit 124 stores the setting information of the monitoring target. The monitoring setting storage unit 124 associates and memorizes, for example, a monitoring target ID for identifying a monitoring target, a group ID, a user ID, and setting information about the monitoring target. Here, an example of data in the monitoring setting storage unit 124 will be described with reference to FIG. 5 .

FIG. 5 is a diagram showing an example of data in the monitoring setting storage unit 124 in this embodiment. As shown in FIG. 5 , the monitoring setting storage unit 124 associates and stores the monitoring object ID, the group ID, the user ID, and the setting information. Here, the monitoring target ID is an example of monitoring target identification information for identifying the monitoring target.

For example, in the example shown in FIG. 5 , the monitoring object ID is "M001", which indicates that the user who has the group ID "G001" and the user ID "U10001" has logged in. In addition, the setting information is displayed as "XXX, YYY, ˙˙˙". In addition, the setting information may also include the setting information of the learning model used, the type of analysis processing described below (waveform comparison analysis, abnormal symptom analysis), etc.

Returning to the description of FIG. 2 again, the analysis data storage unit 125 stores the analysis data of the monitoring target registered by the user. Here, the so-called analysis data refers to the acquisition data obtained during the monitoring of the monitoring target such as the equipment of the factory building, which is the measurement data of various sensors, etc. The analysis data is stored, for example, in a CSV format file. Here, an example of data in the analysis data storage unit 125 will be described with reference to FIG. 6 .

FIG. 6 is a diagram showing an example of data in the analysis data storage unit 125 in this embodiment. As shown in FIG. 6 , the analysis data storage unit 125 associates and stores the group ID, date and time information, user ID, monitoring object ID, signal name, title, file name, and data.

In FIG. 6, the user ID shows the user who has registered the analysis data. The signal name is the signal name of the analysis data. In addition, the title is the title name of the analysis data set by the user when registering the analysis data. In addition, the file name is the name of the file showing the analyzed data, and the data is the content of the file showing the analyzed data.

For example, in the example shown in Figure 6, the log information corresponding to the group ID "G001" is displayed, and the date and time information is "2022/2/22 11:00:00" (February 2022 11:00:00 on the 22nd), the user ID is "U10001". In addition, this analysis data shows that the monitored object ID is "M001", the signal name is "AI0001", the log title is "XX01 data", and the file name is "XXX01.csv". In addition, the above-mentioned learning data storage unit 123 may also store learning data as shown in FIG. 6 in the same manner as the analysis data storage unit 125 .

Returning to the description of FIG. 2 again, the learning model storage unit 126 stores a learning model used for analysis processing. The learning model storage unit 126 associates, for example, a group ID, a user ID, and a learning model and stores them.

The analysis result storage unit 127 stores the analysis results of analysis processing described later. The analysis result storage unit 127 associates and stores the group ID, the user ID, the monitoring object ID, and the analysis results, for example.

The report information storage unit 128 stores report information generated based on the analysis results. The report information storage unit 128 associates and stores the group ID, user ID, monitoring object ID, and report information, for example. Here, an example of the report information will be described with reference to FIG. 7 .

FIG. 7 is a diagram showing an example of report information in this embodiment. The report RP1 shown in Figure 7 is report information including analysis data information DI, analysis results RES1, and learning data DT1 and analysis data DT2 for comparison.

In FIG. 7 , the analysis data information DI is information such as the period of learning the data, the period of analyzing the data, the number of signals, main signals, etc., and is information on the input of the analysis. In addition, the analysis result RES1 is, for example, a graph of the daily evolution of the anomaly detection time (information of the entire signal is accumulated and displayed).

In addition, the learning data DT1 displays the waveform of the learning data of each signal, and the analysis data DT2 displays the waveform of the analysis data and analysis results of each signal.

Returning to the description of FIG. 2 again, the server control unit 13 is a functional unit implemented by causing the processor H13 to execute the program stored in the memory H12. The server control unit 13 includes a Web (web page) processing unit 131, a data registration processing unit 132, a monitoring registration processing unit 133, a learning processing unit 134, an analysis processing unit 135, and a report processing unit 136.

The Web processing unit 131 executes Web processing of a portal site that provides services of the portal server 10 . The Web processing unit 131 transmits various Web display data in the form of HTML (Hyper Text Markup Language) to the user via the NW communication unit 11 in response to the connection request received from the user terminal 20 via the NW communication unit 11 The user terminal 20 is configured to display a Web screen based on various Web display materials on the display unit 23 of the user terminal 20 .

The Web processing unit 131 executes, for example, user login processing. The Web processing unit 131 determines whether the user ID and password received from the user terminal 20 via the NW communication unit 11 match the user ID and password stored in the user information storage unit 122 . When the received user ID and password match the user ID and password stored in the user information storage unit 122, the Web processing unit 131 allows the provision of the service of the portal server 10.

In addition, the Web processing unit 131 outputs, for example, the analysis results analyzed by the analysis processing unit 135 described later and corresponding to each of a plurality of monitoring objects as a list of analysis information available for comparison. to the user terminal 20. That is, the Web processing unit 131 transmits the list of analysis information to the user terminal 20 via the NW communication unit 11 and causes the user terminal 20 to display the list of analysis information. Here, the Web processing unit 131 is an example of an output processing unit that processes output to the user terminal 20 .

For example, when a new monitoring target is added to the monitoring setting storage unit 124, the Web processing unit 131 adds the monitoring target added to the monitoring setting storage unit 124 to the list of analysis information, and outputs it to the application. or terminal 20.

In addition, for example, when the analysis processing unit 135 to be described later completes the analysis of the newly added monitoring object, the Web processing unit 131 adds the analysis information of the newly added monitoring object to the top of the list of analysis information and causes it to be displayed. Notification information that a new monitoring target has been added to the list of analysis information is output to the user terminal 20 .

In addition, the Web processing unit 131 may output a list of analysis information corresponding to the user ID or a list of analysis information corresponding to the group ID to the user terminal 20 based on a designation from the user terminal 20 . That is, the Web processing unit 131 switches between a list of analysis information for each user and a list of analysis information analyzed by a plurality of users in the group, and displays them on the user terminal 20 .

In addition, the Web processing unit 131 extracts analysis information corresponding to the search information from the list of analysis information based on the search information received from the user terminal 20, and uses the extracted list of analysis information as a search result. output to the user terminal 20.

In addition, the Web processing unit 131 causes the report information generated by the report processing unit 136 to be described later to be output to the user terminal 20 . For example, when a specific monitoring target is selected from the list of analysis information by the user terminal 20 , the Web processing unit 131 causes the report information of the selected specific monitoring target to be output to the user terminal 20 . That is, the Web processing unit 131 obtains the report information of the selected specific monitoring target from the report information storage unit 128, and transmits the report information shown in FIG. 7 to the user terminal 20 via the NW communication unit 11, and This is displayed on the user terminal 20.

In addition, the Web processing unit 131 restricts the use of the user including the execution of the analysis process based on the restriction information stored in the group information storage unit 121 and corresponding to the group to which the user belongs. The Web processing unit 131 here is an example of a restriction processing unit that restricts the use of the portal server 10 .

For example, the Web processing unit 131 prohibits the execution of analysis processing for users who belong to the group when the number of executions of the analysis processing in the group has reached the execution limit. That is, the Web processing unit 131 determines whether the number of times of execution of analysis processing in the group has reached the execution limit based on the number of times of possible analysis and the number of times of execution of analysis in the group information storage unit 121 . When the Web processing unit 131 determines that the number of executions of analysis processing in the group has reached the execution limit, execution of the analysis processing is prohibited for the user ID of the user belonging to the group.

In addition, the Web processing unit 131 restricts use by users belonging to the group when the number of signals used to obtain data for analysis processing reaches the upper limit of the number of signals. That is, the Web processing unit 131 determines whether the number of signals has reached the upper limit of the number of signals based on the number of contract signals in the group information storage unit 121 . When the Web processing unit 131 determines that the number of signals has reached the upper limit of the number of signals, for example, the use of the portal server 10 is restricted for the user ID of the user belonging to the group. At this time, the Web processing unit 131 stops the execution of the analysis process, or prohibits the registration process of data such as analysis data.

In addition, the Web processing unit 131 restricts the login of users belonging to the group when the number of users belonging to the group stored in the user information storage unit 122 reaches the upper limit of users. That is, the Web processing unit 131 determines whether the number of users belonging to the group has reached the upper limit of users based on the number of accounts in the group information storage unit 121 . The Web processing unit 131 prohibits the login of new users, for example, when the number of users belonging to the group reaches the upper limit of users.

In addition, the Web processing unit 131 restricts use by users belonging to the group when the usage period of the analysis processing has reached the usage expiration date. That is, the Web processing unit 131 determines whether the usage period of the analysis processing has reached the usage period based on the validity period of the group information storage unit 121 . When the Web processing unit 131 determines that the usage period of the analysis processing has reached the usage expiration date, for example, the Web processing unit 131 restricts the use of the portal server 10 with respect to the user ID of the user belonging to the group.

In addition, the Web processing unit 131 releases the usage restriction when the additional usage fee has been paid by a group (for example, a company contracted with the portal server 10).

The data registration processing unit 132 registers the learning materials and analysis data received from the user terminal 20 . As shown in FIG. 6 , the data registration processing unit 132 associates the learning materials received from the user terminal 20 with the group ID, the user ID, and the monitoring object ID, and stores them in the learning material storage unit 123 . In addition, as shown in FIG. 6 , the data registration processing unit 132 associates the analysis data received from the user terminal 20 with the group ID, the user ID, and the monitoring object ID, and stores them in the analysis data memory. Department 125.

The monitoring registration processing unit 133 adds the setting information of the monitoring target corresponding to the addition request to the monitoring setting storage unit 124 in response to the request to add the monitoring target received from the user terminal 20 . The additional request here is, for example, an analysis request of the monitoring object (an analysis processing execution request), a learning model generation request, and the like. As shown in FIG. 5 , the monitoring registration processing unit 133 stores the setting information of the monitoring target in the monitoring setting storage unit 124 , for example.

The learning processing unit 134 generates a learning model based on the learning data. The learning processing unit 134 uses, for example, the normal data of the monitoring target received from the user terminal 20 as learning data, and generates a learning model based on the learning data. The learning processing unit 134 generates a learning model based on the learning data stored in the learning data storage unit 123 .

In addition, the learning processing unit 134 stores the generated learning model in the learning model storage unit 126 . The learning processing unit 134 associates a group ID, a user ID, and a learning model with each other, and stores them in the learning model storage unit 126 .

The analysis processing unit 135 analyzes the acquired data of the monitoring target based on a learning model generated using the normal data of the monitoring target registered in advance as the learning data. The analysis processing unit 135 is capable of executing two types of analysis processing: waveform comparison analysis and abnormal symptom analysis. The waveform comparison analysis is a process of comparing and analyzing the waveforms of the learning data and the analysis data, which are normal data belonging to the monitoring target. In addition, abnormal symptom analysis is a process of analyzing analysis data using a pre-registered learning model, and is a process of analyzing abnormal symptoms.

In the waveform comparison analysis, the analysis processing unit 135 compares the normal data with the monitoring target received from the user terminal 20 based on a learning model for comparison and determination generated from the normal data received from the user terminal 20 of analytical data to conduct analysis of the analytical data. As a technique for comparative analysis of normal data and analysis data, for example, the technique described in Japanese International Publication No. 2016/117086 can be applied.

In addition, in abnormal sign analysis, the analysis processing unit 135 analyzes the analysis data of the monitoring target received from the user terminal 20 based on the learning model registered in advance in the learning model storage unit 126 . The analysis processing unit 135 analyzes abnormal signs in the analysis data stored in the analysis data storage unit 125 based on a pre-registered learning model. The analysis processing unit 135 predicts deviations between normal data and analysis data based on a learning model, for example, and determines signs of the deviation. As a technology for analyzing abnormal signs, for example, the technology described in Japanese International Publication No. 2018/207350 can be applied.

In addition, the analysis processing unit 135 stores the analysis results of the analysis processing in the analysis result storage unit 127 . For example, the analysis processing unit 135 associates the group ID, the user ID, the monitoring object ID, and the analysis results, and stores them in the analysis result storage unit 127 .

The report processing unit 136 generates report information as shown in FIG. 7 , for example, based on the analysis results performed by the analysis processing unit 135 . The report processing unit 136 obtains the analysis results stored in the analysis result storage unit 127 and generates report information based on the obtained analysis results. For example, when the analysis processing unit 135 performs abnormal symptom analysis, the report processing unit 136 generates report information emphasizing abnormal signs.

In addition, the report processing unit 136 stores the generated report information in the report information storage unit 128 . The report processing unit 136 associates, for example, the group ID, the user ID, the monitoring object ID, and the report information, and stores them in the report information storage unit 128 .

Next, the operation of the monitoring support system 1 of this embodiment will be described with reference to the drawings. FIG. 8 is a diagram showing an example of the analysis processing operation of waveform comparison in the monitoring support system 1 of this embodiment.

As shown in FIG. 8 , in the waveform comparison analysis process of the monitoring support system 1 , first, the user terminal 20 transmits a connection request to the portal server 10 (step S101 ). The terminal control unit 25 of the user terminal 20 transmits a connection request to the URL (Uniform Resource Locator, Global Resource Locator) of the portal server 10 via the NW communication unit 21 through the user's operation through the input unit 22 .

Next, the portal server 10 transmits the login screen (HTML data of the login screen) to the user terminal 20 based on the connection request from the user terminal 20 (step S102). The Web processing unit 131 of the portal server 10 transmits the login screen (HTML data of the login screen) for inputting the user ID and password to the user terminal 20 via the NW communication unit 11 so that it is displayed on the user terminal 20 .

Next, the user terminal 20 displays a login screen (step S103). The terminal control unit 25 causes the display unit 23 to display the login screen received via the NW communication unit 21 .

Next, the user terminal 20 transmits the login information (user ID, password) to the portal server 10 (step S104). The terminal control unit 25 receives the user ID and password from the user via the input unit 22 and transmits the login information including the user ID and password to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 executes login processing (step S105). The Web processing unit 131 executes login processing based on the user ID and password received from the user terminal 20 via the NW communication unit 11 . The Web processing unit 131 determines whether the received user ID and password match the user ID and password stored in the user information storage unit 122 as a login process.

When the received user ID and password match the user ID and password stored in the user information storage unit 122, the Web processing unit 131 determines that the user is a legitimate user and allows the user to use the user ID. Provision of Services. In addition, when the received user ID and password are inconsistent with the user ID and password stored in the user information storage unit 122, the Web processing unit 131 determines that the user is not a legitimate user and does not allow the user to use the service. Provision of ID services. In addition, here, in the following description, it is assumed that the user of the user terminal 20 is a legal user.

Next, the portal server 10 transmits the menu screen to the user terminal 20 (step S106). The Web processing unit 131 transmits the menu screen of the service provided by the portal server 10 to the user terminal 20 via the NW communication unit 11 .

Next, the user terminal 20 displays a menu screen (step S107). The terminal control unit 25 causes the display unit 23 to display, for example, the menu screen shown in FIG. 9 received via the NW communication unit 21 .

FIG. 9 is a diagram showing an example of the menu screen of the monitoring support system 1 of this embodiment. Screen G1 shown in FIG. 9 displays the menu screen of the portal server 10 . In screen G1, button BT1 is a button that selects "abnormal symptom analysis" (analysis and processing).

Returning to the description of FIG. 8 , the user terminal 20 then transmits the specified information for analysis processing to the portal server 10 (step S108 ). Here, assuming that the user selects the button BT1 via the input unit 22 , the terminal control unit 25 transmits the specified information for analysis processing to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 transmits the analysis and report screen to the user terminal 20 (step S109). The Web processing unit 131 transmits the analysis and report screen to the user terminal 20 via the NW communication unit 11 based on the analysis processing designation information received from the user terminal 20 .

Next, the user terminal 20 displays an analysis and report screen (step S110). The terminal control unit 25 causes the display unit 23 to display, for example, the analysis and report screen shown in FIG. 10 received via the NW communication unit 21 .

FIG. 10 is a diagram showing an example of the analysis and report screen in the waveform comparison of the monitoring support system 1 of this embodiment. Screen G2 shown in Figure 10 shows the analysis and report screen in waveform comparison. In screen G2, the analysis information list LS1 displays a list of analysis information for waveform comparison. In addition, the list of analysis information LS2 displays a list of analysis information of abnormal symptom analysis. In addition, the button BT2 is a selection button for displaying the analysis of waveform comparison, and the button BT3 is a switching button for displaying the analysis processing.

Returning to the description of FIG. 8 again, the user terminal 20 then transmits the designated information for waveform comparison to the portal server 10 (step S111). Here, assuming that the analysis of the waveform comparison is specified on the analysis and report screen (screen G2) shown in FIG. 10 via the input unit 22, and the switching button (button BT3) is pressed, the terminal control unit 25 compares the waveforms. The designated information is transmitted to the portal server 10 via the NW communication unit 21.

Next, the portal server 10 transmits the waveform comparison data input screen to the user terminal 20 (step S112). The Web processing unit 131 transmits the waveform comparison data input screen to the user terminal 20 via the NW communication unit 11 based on the waveform comparison designation information received from the user terminal 20 .

Next, the user terminal 20 displays a data input screen for waveform comparison (step S113). The terminal control unit 25 causes the display unit 23 to display, for example, a waveform comparison data input screen as shown in FIG. 11 received via the NW communication unit 21 .

FIG. 11 is a diagram showing an example of a data input screen for waveform comparison in the monitoring support system 1 of this embodiment. Screen G3 shown in Figure 11 is a data input screen showing waveform comparison. In the screen G3, the input window (window) WD1 is the input window that displays the title of the analysis, and the input window WD2 is the login window that displays the learning materials. In addition, the input window WD3 is a login window that displays analysis data, and the input window WD4 is an input window that displays condition settings. In addition, button BT4 is a button to start the analysis process of display waveform comparison.

Returning to the description of FIG. 8 again, the user terminal 20 then transmits the input data (learning data and analysis data) of the waveform comparison to the portal server 10 (step S114). Here, it is assumed that the title, learning data, and analysis data are input via the input unit 22 on the waveform comparison data input screen (screen G3) shown in FIG. 11, and the start button of the analysis process (button BT4) is pressed. ), the terminal control unit 25 transmits the input data (learning data and analysis data) of the waveform comparison to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 executes login processing (step S115). The Web processing unit 131 causes the data registration processing unit 132 and the monitoring registration processing unit 133 to execute registration processing based on the waveform comparison input data (learning data and analysis data) received from the user terminal 20 via the NW communication unit 11 .

As shown in FIG. 6 , the data registration processing unit 132 associates the received learning materials with the group ID, the user ID, and the monitoring object ID, and stores them in the learning data storage unit 123 . In addition, as shown in FIG. 6 , the data registration processing unit 132 associates the received analysis data with the group ID, the user ID, and the monitoring object ID, and stores them in the analysis data storage unit 125 . In addition, as shown in FIG. 5 , the monitoring registration processing unit 133 stores the setting information of the monitoring target in the monitoring setting storage unit 124 , for example.

Next, the portal server 10 transmits the analysis start screen (number of possible analyses, etc.) to the user terminal 20 (step S116). The Web processing unit 131 transmits the analysis start screen (possible number of analyses, etc.) to the user terminal 20 via the NW communication unit 11 in response to the start of the analysis process.

Next, the user terminal 20 displays an analysis start screen (step S117). The terminal control unit 25 causes the display unit 23 to display, for example, the analysis start screen shown in FIG. 12 , which is received via the NW communication unit 21 .

FIG. 12 is a diagram showing an example of the analysis start screen of the monitoring support system of this embodiment. Screen G4 shown in FIG. 12 shows the analysis start screen of the portal server 10 . On the screen G4, a message that the analysis has started is displayed, and the analysis content, utilization period, number of times of analysis execution, and number of possible times of analysis are displayed.

Furthermore, the portal server 10 executes waveform comparison processing (waveform comparison analysis processing) (step S118). The analysis processing unit 135 of the portal server 10 performs analysis processing of waveform comparison. In addition, the report processing unit 136 generates report information based on the analysis results of the waveform comparison analysis processing. In addition, details of the analysis processing of waveform comparison and the generation processing of report information will be described later with reference to FIG. 14 .

Next, the portal server 10 transmits the analysis and report screen after adding the report to the user terminal 20 (step S119). Upon completion of the analysis processing, the Web processing unit 131 transmits the analysis and report screen after the additional report to the user terminal 20 via the NW communication unit 11 .

Next, the user terminal 20 displays the analysis and report screen after adding the report (step S120). The terminal control unit 25 causes the display unit 23 to display, for example, the analysis and report screen shown in FIG. 13 received via the NW communication unit 21 .

FIG. 13 is a diagram showing an example of the analysis and report screen after the analysis processing of waveform comparison in the monitoring support system 1 of this embodiment. Screen G5 shown in Figure 13 is an analysis and report screen showing the analysis and processing of waveform comparison. In screen G5, the list of analysis information LS1 displays the list of analysis information for waveform comparison. In addition, the list of analysis information LS2 displays a list of analysis information of abnormal symptom analysis. In addition, the report RP1 displays the analysis information of the monitoring target added in the analysis process of this waveform comparison. In addition, the notification AL1 displays that the analysis information of a new monitoring target has been added to the list. In addition, the more detailed report information of report RP1 is the information of report RP1 shown in Figure 7 . The added report RP1 is added to the list of analysis information for waveform comparison in FIG. 13, that is, the list of analysis information LS1.

In this way, when the analysis processing unit 135 completes the analysis (analysis of waveform comparison) of the newly added monitoring target, the Web processing unit 131 adds the analysis information of the newly added monitoring target to the top of the list of analysis information, and Notification information that a new monitoring target has been added to the list of displayed analysis information is output to the user terminal 20 .

In addition, in the screen G5, the input window WD5 is an input window for displaying the search keyword. When the user inputs a search keyword (search information) into this input window WD5, the Web processing unit 131 extracts the corresponding search keyword (search information) from the list of analysis information based on the search keyword (search information) received from the user terminal 20. The analysis information of the information is retrieved, and a list of the extracted analysis information is output to the user terminal 20 as a search result.

Next, the details of the analysis process of waveform comparison will be described with reference to FIG. 14 . FIG. 14 is a flowchart of an example of the waveform comparison analysis process of the portal server 10 of this embodiment. The processing shown in Fig. 14 corresponds to the above-mentioned steps S116 and S118 of Fig. 8 , and the processing of step S119.

As shown in FIG. 14 , the Web processing unit 131 of the portal server 10 first determines whether the number of possible analyzes is 0 (step S201 ). The Web processing unit 131 refers to the possible number of analyzes and the number of executions of analysis for the group to which the user belongs from the group information storage unit 121, and determines whether the execution limit has been reached. When the number of possible analyzes is 0 (the number of execution limits has been reached) (step S201: YES), the Web processing unit 131 advances the process to step S209. In addition, when the number of possible analyzes is not 0 (less than the execution limit number) (step S201: NO), the Web processing unit 131 advances the process to step S202.

In step S202, the Web processing unit 131 determines whether the number of signals is within the limit. The Web processing unit 131 refers to the number of contract signals of the group to which the user belongs from the group information storage unit 121, and determines whether the number of signals has reached the upper limit. When the number of signals is within the limit (within the range of the number of contracted signals) (step S202: YES), the Web processing unit 131 advances the process to step S203. In addition, when the number of signals is not within the limit (outside the range of the number of contracted signals) (step S202: NO), the Web processing unit 131 advances the process to step S209.

In step S203, the Web processing unit 131 updates the number of possible analyzes and the number of execution times of analysis. The Web processing unit 131 subtracts one from the possible number of analyses, adds one to the number of analysis executions, and stores it in the group information storage unit 121 .

Next, the Web processing unit 131 displays the analysis start screen on the display unit 23 of the user terminal 20 (step S204). The Web processing unit 131 transmits the analysis start screen shown in FIG. 12 to the user terminal 20 via the NW communication unit 11 .

Next, the learning processing unit 134 generates a learning model from the registered normal data (step S205). The learning processing unit 134 generates a learning model from the learning data stored in the learning data storage unit 123 (normal data received from the user terminal 20). The learning processing unit 134 stores the learning model in the learning model storage unit 126 .

Next, the analysis processing unit 135 uses the learning model to perform comparative analysis of the normal data and the analysis data (step S206). The analysis processing unit 135 performs comparative analysis of normal data and analytical data using, for example, the technology described in Japanese International Publication No. 2016/117086 and Japanese International Publication No. 2018/207350. The analysis processing unit 135 stores the analysis results in the analysis result storage unit 127 .

Next, the report processing unit 136 generates a report based on the comparative analysis results (step S207). The report processing unit 136 generates, for example, the information of the report RP1 shown in FIG. 7 and the information of the report RP1 shown in FIG. 13 . The report processing unit 136 stores the generated report in the report information storage unit 128 .

Next, the Web processing unit 131 generates an analysis and report screen in which the generated report is added, and causes it to be displayed on the display unit 23 of the user terminal 20 (step S208). The Web processing unit 131 displays the analysis and report screen of screen G5 in FIG. 13 on the user terminal 20, for example. After the processing of step S208, the Web processing unit 131 ends the analysis process of waveform comparison.

Furthermore, in step S209, the Web processing unit 131 causes the error message to be displayed on the display unit 23 of the user terminal 20. At this time, the Web processing unit 131 restricts the user's use of the portal server 10 and prohibits execution of the analysis process of waveform comparison. After the process of step S209, the Web processing unit 131 ends the analysis process of waveform comparison.

Next, the abnormality symptom analysis process of the portal server 10 of this embodiment will be described with reference to the figures. FIG. 15 is a flowchart showing an example of learning processing for abnormal symptom analysis of the portal server 10 in this embodiment.

As shown in FIG. 15 , in the learning process for abnormal sign analysis, the portal server 10 first executes the registration process of the monitoring object (step S301 ). The monitoring registration processing unit 133 of the portal server 10 adds the setting information of the monitoring target to the monitoring setting storage unit 124. As shown in FIG. 5 , the monitoring registration processing unit 133 stores the setting information of the monitoring target in the monitoring setting storage unit 124 , for example.

Next, the portal server 10 registers the learning materials of the monitoring target (step S302). The data registration processing unit 132 of the portal server 10 stores the learning data (normal data) received from the user terminal 20 in the learning data storage unit 123, for example.

Next, the portal server 10 generates a learning model of the monitoring target from the learning data (step S303). The learning processing unit 134 of the portal server 10 acquires, for example, the learning materials specified from the learning material storage unit 123 as learning materials, and generates a learning model (for example, a learning model for detecting abnormal signs) from the learning materials. The learning processing unit 134 stores the generated learning model in the learning model storage unit 126 . After the process of step S303, the portal server 10 ends the learning model generation process. In this way, in the abnormal symptom analysis, it is assumed that the learning model has been memorized (registered) in the learning model storage unit 126 in advance.

Next, the processing operation of the abnormal symptom analysis of the monitoring support system 1 of this embodiment will be described with reference to FIG. 16 . FIG. 16 is a diagram showing an example of the processing operation of abnormal symptom analysis in the monitoring support system 1 of this embodiment.

In FIG. 16 , the processing from step S401 to step S410 is the same as the processing from step S101 to step S110 shown in FIG. 8 , so the description thereof is omitted here. In step S410 , the terminal control unit 25 causes the display unit 23 to display, for example, the analysis and report screen shown in FIG. 17 received via the NW communication unit 21 .

FIG. 17 is a diagram showing an example of the analysis and report screen in the abnormal symptom analysis of the monitoring support system 1 of this embodiment. Screen G6 shown in FIG. 17 is an analysis and report screen in abnormal symptom analysis. In screen G6, the list of analysis information LS1 displays the list of analysis information for waveform comparison. In addition, the list of analysis information LS2 displays a list of analysis information of abnormal symptom analysis. In addition, button BT5 is a selection button for displaying abnormal symptom analysis, and button BT3 is a switching button for displaying analysis processing.

Returning to the description of FIG. 16 again, the user terminal 20 then transmits the specified information for abnormal sign analysis to the portal server 10 (step S411). Here, it is assumed that abnormality sign analysis is specified on the analysis and report screen (screen G6) shown in FIG. 17 via the input unit 22, and the switch button (button BT3) is pressed, and the terminal control unit 25 The analyzed designated information is transmitted to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 transmits the abnormal symptom analysis data input screen to the user terminal 20 (step S412). The Web processing unit 131 transmits the abnormal sign analysis data input screen to the user terminal 20 via the NW communication unit 11 based on the abnormal sign analysis designated information received from the user terminal 20 .

Next, the user terminal 20 displays a data input screen for abnormal symptom analysis (step S413). The terminal control unit 25 causes the display unit 23 to display the data input screen for abnormal sign analysis received via the NW communication unit 21 .

Next, the user terminal 20 transmits the input data (model designation information and analysis data) of the abnormal symptom analysis to the portal server 10 (step S414). Here, through the input unit 22, for example, the title, model designation information, and analysis data are input on the abnormal symptom analysis data input screen, and the terminal control unit 25 inputs the input data (model designation information and analysis data) for the abnormal symptom analysis. It is transmitted to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 transmits the analysis start screen (number of possible analyses, etc.) to the user terminal 20 (step S415). The Web processing unit 131 transmits the analysis start screen (possible number of analyses, etc.) to the user terminal 20 via the NW communication unit 11 in response to the start of the analysis process. In addition, as shown in FIG. 6 , the data registration processing unit 132 associates the received analysis data with the group ID, the user ID, and the monitoring target ID, and stores them in the analysis data storage unit 125 . In addition, as shown in FIG. 5 , the monitoring registration processing unit 133 stores the setting information of the monitoring target in the monitoring setting storage unit 124 , for example.

Next, the user terminal 20 displays the analysis start screen (step S416). As shown in FIG. 12 , the terminal control unit 25 causes the display unit 23 to display the analysis start screen received via the NW communication unit 21 , for example.

Next, the portal server 10 performs abnormal symptom analysis processing (step S417). The analysis processing unit 135 of the portal server 10 performs abnormality sign analysis processing. In addition, the report processing unit 136 generates report information based on the analysis results of the abnormal symptom analysis process. In addition, details of the analysis processing of abnormal sign analysis and the generation processing of report information will be described later with reference to FIG. 18 .

Next, the portal server 10 transmits the analysis and report screen after adding the report to the user terminal 20 (step S418). Upon completion of the analysis processing, the Web processing unit 131 transmits the analysis and report screen after the additional report to the user terminal 20 via the NW communication unit 11 .

Next, the user terminal 20 displays the analysis and report screen after adding the report (step S419). The terminal control unit 25 displays the analysis and report screen received via the NW communication unit 21 on the display unit 23 . In addition, the analysis and report screen is the same as the above-mentioned FIG. 13, so its description is omitted here. In addition, in the case of abnormal symptom analysis, the added report is added to the list of analysis information LS2 of the abnormal symptom analysis in FIG. 17 , for example.

In addition, when the analysis processing unit 135 completes the analysis (abnormality sign analysis) of the newly added monitoring object, the Web processing unit 131 adds the analysis information of the newly added monitoring object to the head of the list of analysis information and causes it to be displayed. Notification information that a new monitoring target has been added to the list of analysis information is output to the user terminal 20 .

Next, the details of the abnormal sign analysis processing will be described with reference to FIG. 18 . FIG. 18 is a flowchart showing an example of abnormality sign analysis processing of the portal server 10 in this embodiment. The processing shown in FIG. 18 corresponds to the processing of steps S415, S417, and S418 of FIG. 16 described above.

In FIG. 18 , the processing from step S501 to step S504 is the same as the processing from step S201 to step S204 shown in FIG. 14 , so the description thereof is omitted here.

In step S505, the analysis processing unit 135 uses the learning model of the designated monitoring object to analyze abnormal signs of the analysis data. The analysis processing unit 135 analyzes abnormal signs of the analysis data using, for example, the technology described in Japanese International Publication No. 2018/207350. The analysis processing unit 135 stores the analysis results in the analysis result storage unit 127 .

Next, the report processing unit 136 generates a report based on the abnormal symptom analysis result (step S506). The report processing unit 136 generates, for example, the information of the report RP1 shown in FIG. 7 and the information of the report RP1 shown in FIG. 13 . The report processing unit 136 stores the generated report in the report information storage unit 128 .

Next, the processing from step S507 to step S508 is the same as the processing from step S208 to step S209 shown in FIG. 14 , so the description thereof is omitted here.

Next, the analysis report display processing and deletion processing of the monitoring support system 1 of this embodiment will be described with reference to FIG. 19 . FIG. 19 is a diagram showing an example of display processing and deletion processing of analysis reports in the monitoring support system 1 of this embodiment.

As shown in FIG. 19 , in the analysis report display process, first, as shown in step S601 , the user designates a specific report while the analysis and report screen is displayed on the user terminal 20 .

The user terminal 20 transmits the reported specified information to the portal server 10 (step S602). Here, assuming that the user designates a specific report via the input unit 22 , the terminal control unit 25 transmits report designation information designating the specific report to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 transmits the analysis report (step S603). The Web processing unit 131 of the portal server 10 acquires an analysis report corresponding to the report designation information from the report information storage unit 128 based on the report designation information received from the user terminal 20 . Here, the analysis report is, for example, the report information of the report RP1 shown in FIG. 7 . The Web processing unit 131 transmits the analysis report (for example, report RP1) acquired from the report information storage unit 128 to the user terminal 20 .

Next, the user terminal 20 displays the analysis report (step S604). The terminal control unit 25 of the user terminal 20 displays, for example, the analysis report (for example, report RP1) shown in FIG. 7 on the display unit 23. In this way, when the user terminal 20 selects a specific monitoring target from the list of analysis information, the Web processing unit 131 outputs the report information showing the difference between the normal data and the analysis data to the user terminal 20 .

Here, a comparison between the normal data and the analysis data in the analysis report will be described with reference to FIG. 20 . FIG. 20 is a diagram showing a comparative example of analysis data of the analysis report of the monitoring support system 1 of this embodiment. In addition, FIG. 20 is an enlarged view of the learning data DT1 and analysis data DT2 of the report RP1 shown in FIG. 7 .

In Fig. 20, waveform W1 shows the waveform of the learning data (normal data), and waveform W2 shows the waveform of the analysis data. In addition, the dotted line portion of the waveform W2 shows the abnormality sign portion AB1.

As shown in FIG. 20 , the report processing unit 136 generates report information in which signs of deviation (abnormality sign parts) are highlighted with dotted lines. In addition, in the example shown in FIG. 20 , although the signs of deviation (part of abnormality signs) are emphasized by dotted lines, the deviation can also be emphasized by other means such as thick lines, changing the color of the line, changing the type of the line, etc. Signs (part of abnormal signs).

Returning to the description of FIG. 19 , in the report deletion process, first, as shown in step S611 , with the user terminal 20 displaying the analysis and report screen, the user designates a specific report and inputs a deletion operation.

At this time, the user terminal 20 transmits the deletion request of the designated report to the portal server 10 (step S612). Here, it is assumed that the user designates a specific report via the input unit 22 , and the terminal control unit 25 transmits the specific report deletion request to the portal server 10 via the NW communication unit 21 .

Next, the portal server 10 deletes the designated report (step S613). The Web processing unit 131 of the portal server 10 deletes the registration of the monitoring target corresponding to the specified report from the monitoring setting memory unit 124 and deletes the specified report from the list of analysis information (list of reports). In addition, the Web processing unit 131 may also delete the analysis results and report information corresponding to the specified report from the analysis result storage unit 127 and the report information storage unit 128.

Next, the portal server 10 transmits the analysis and report screen after deleting the report to the user terminal 20 (step S614). The Web processing unit 131 of the portal server 10 transmits the analysis and report screen after deleting the specified report from the list of analysis information (list of reports) to the user terminal 20 via the NW communication unit 11 .

Next, the user terminal 20 displays an analysis and report screen (step S615). The terminal control unit 25 of the user terminal 20 displays the analysis and report screen after deleting the designated report on the display unit 23 .

Next, a modification of the data in the user information storage unit 122 in this embodiment will be described with reference to FIG. 21 . FIG. 21 is a diagram showing a modification of the data in the user information storage unit 122 in this embodiment.

As shown in FIG. 21 , the user information storage unit 122 may be configured to store the number of possible analyzes and the number of executions of the analysis for each user. At this time, the Web processing unit 131 determines whether the number of execution times of the user's analysis processing has reached the execution limit based on the possible number of analyzes and the number of analysis execution times set by each user stored in the user information storage unit 122. . The Web processing unit 131 prohibits the execution of the analysis processing for the user when the number of executions of the analysis processing by the user has reached the execution limit.

In summary, the monitoring support system 1 of this embodiment includes the analysis processing unit 135 and the Web processing unit 131 (output processing unit). The analysis processing unit 135 analyzes the acquired data of the monitoring target based on a learning model generated using normal data of pre-registered monitoring targets (such as various monitoring target equipment in a factory, etc.) as learning data. The Web processing unit 131 (output processing unit) uses the analysis results analyzed by the analysis processing unit 135 and the analysis results corresponding to each of the plurality of monitoring objects as a list of comparative analysis information (for example, a list of reports). ), and output it to the user terminal 20 used by the user.

Thereby, the monitoring support system 1 of this embodiment can confirm analysis information while comparing a plurality of monitoring objects, and can monitor a plurality of monitoring objects in a unified manner. Therefore, the monitoring support system 1 of this embodiment can reduce the workload of monitoring and improve business efficiency.

In addition, the monitoring support system 1 of this embodiment includes a learning processing unit 134, an analysis processing unit 135, and a Web processing unit 131 (output processing unit). The learning processing unit 134 uses the normal data of the monitoring target received from the user terminal 20 used by the user as learning data, and generates a learning model for comparison and determination based on the learning data. The analysis processing unit 135 compares the normal data with the analysis data of the monitoring target received from the user terminal 20 used by the user based on the learning model, and analyzes the analysis data. The Web processing unit 131 (output processing unit) outputs the analysis results analyzed by the analysis processing unit 135 and corresponding to each of the plurality of monitoring objects as a list of analysis information that can be compared. to the user terminal 20.

Thereby, the monitoring support system 1 of this embodiment can accurately compare normal data and analytical data without requiring special expertise. Therefore, the monitoring support system 1 of this embodiment can reduce the workload of monitoring and improve business efficiency.

In addition, the monitoring support system 1 of this embodiment includes a monitoring setting storage unit 124 and a monitoring registration processing unit 133. The monitoring setting storage unit 124 associates and stores the monitoring target ID (monitoring target identification information) that identifies the monitoring target with the setting information about the monitoring target. The monitoring registration processing unit 133 responds to the additional request for the monitoring object received from the user terminal 20 (for example, an analysis request for the monitoring object (request for execution of analysis processing), a request for generating a learning model, etc.), and adds a request corresponding to the additional request. The setting information of the monitoring target is added to the monitoring setting storage unit 124 . The Web processing unit 131 adds the monitoring target added to the monitoring setting storage unit 124 to the list of analysis information, and outputs it to the user terminal 20 .

Thereby, the monitoring support system 1 of this embodiment can easily add monitoring objects, thereby reducing the workload of monitoring and further improving the business efficiency.

In addition, in this embodiment, when the analysis processing unit 135 completes the analysis of the newly added monitoring object, the Web processing unit 131 adds the analysis information of the newly added monitoring object to the top of the list of analysis information, and Notification information indicating that the new monitoring target has been added to the list of analysis information is output to the user terminal 20 .

Thereby, the monitoring support system 1 of this embodiment is notified that the analysis processing has been completed, and the analysis information of the newly added monitoring target is added to the top of the list of analysis information, so it can quickly and efficiently confirm the newly added analysis information. Analysis information of monitoring objects.

In addition, in this embodiment, the monitoring setting storage unit 124 stores a group ID (group identification information) for identifying the group to which the user belongs, a user ID (user identification information) for identifying the user, and a monitoring target ID. , set information to establish corresponding relationships and remember them. The Web processing unit 131 outputs a list of analysis information corresponding to the user ID or a list of analysis information corresponding to the group ID to the user terminal 20 .

Thereby, the monitoring support system 1 of this embodiment manages the monitoring objects according to each group ID, so the knowhow in a group such as a company will not be leaked to other groups. In addition, since the monitoring support system 1 of this embodiment is operated by the portal server 10, it is not necessary for a group such as a company to prepare self-paid equipment to receive the provision of services. That is, the monitoring support system 1 of this embodiment eliminates the need for groups such as companies to own their own systems, thereby reducing equipment investment costs. Therefore, the monitoring support system 1 of this embodiment is a system that can easily and safely introduce monitoring of monitoring objects in a factory.

In addition, in this embodiment, the Web processing unit 131 extracts analysis information corresponding to the search information from the list of analysis information based on the search information received from the user terminal 20, and makes the list of the extracted analysis information The search results are output to the user terminal 20.

Thereby, the monitoring support system 1 of this embodiment can appropriately retrieve and analyze information by retrieving information, and therefore can further improve the efficiency of monitoring work.

In addition, the monitoring support system 1 of this embodiment is provided with the data registration processing part 132. The data registration processing unit 132 uses the acquired data of the monitoring target received from the user terminal 20 as analysis data, and stores it in the analysis data storage unit 125 . The analysis processing unit 135 analyzes abnormal signs in the analysis data stored in the analysis data storage unit 125 based on the learning model.

Thereby, the monitoring support system 1 of this embodiment can easily detect abnormal signs, thereby further improving the efficiency of monitoring work.

Furthermore, in this embodiment, when the user terminal 20 selects a specific monitoring target from the list of analysis information, the Web processing unit 131 causes the user to output the report information showing the difference between the normal data and the analysis data. or terminal 20.

Thereby, the monitoring support system 1 of this embodiment can compare normal data and analysis data to monitor the occurrence of abnormalities, and can further improve the efficiency of monitoring work.

In addition, the monitoring support system 1 of this embodiment includes a report processing unit 136 that generates report information. The analysis processing unit 135 predicts deviations between normal data and analysis data, and determines signs of the deviation. The report processing unit 136 generates report information highlighting signs of deviation.

Thereby, the monitoring support system 1 of this embodiment can appropriately determine the signs of deviation and emphasize the signs of abnormality, so that the monitor (operator) can learn the signs of abnormality appropriately. Therefore, the monitoring support system 1 of this embodiment can improve the level of a monitor (operator) and improve the quality of monitoring work.

In addition, the monitoring support system 1 of this embodiment includes a learning processing unit 134 that generates a learning model based on learning data. The analysis processing unit 135 analyzes the acquired data of the monitoring target based on the learning model generated by the learning processing unit 134 .

Thereby, the monitoring support system 1 of this embodiment can easily generate a learning model, and therefore can easily introduce abnormality detection of a monitoring object using the learning model.

In addition, in this embodiment, the analysis processing unit 135 analyzes the acquisition of the monitoring object based on the learning model specified by the user terminal 20 from among the learning models generated by the learning processing unit 134 and the learning models prepared in advance. material.

Thereby, the monitoring support system 1 of this embodiment can simply change the learning model and try it out, so it can flexibly respond to various monitoring objects.

In addition, the monitoring support system 1 of this embodiment includes a group information storage unit 121, an analysis processing unit 135, and a Web processing unit 131 (restriction processing unit). The group information storage unit 121 associates and stores a group ID (group identification information) that identifies the group to which the user belongs, and restriction information on analysis processing of the acquired data of the analysis and monitoring target. The analysis processing unit 135 executes analysis processing based on a learning model generated using normal data to be monitored as learning data based on an analysis request from the user terminal 20 used by the user. The Web processing unit 131 (restriction processing unit) restricts the use of the user including execution of the analysis process based on the restriction information stored in the group information storage unit 121 and corresponding to the group to which the user belongs. .

Thereby, the monitoring support system 1 of this embodiment is managed by the group information storage unit 121, for example, by groups such as companies, so it is possible to easily and safely introduce monitoring of highly accurate monitoring objects using the learning model. . Therefore, the monitoring support system 1 of this embodiment can reduce the workload of monitoring and improve business efficiency.

In addition, the monitoring support system 1 of this embodiment can appropriately restrict the use of the user by restricting information. Therefore, the monitoring support system 1 of this embodiment can appropriately allocate the resources of the portal server 10 and reduce the system load caused by unbalanced use by some users. Therefore, the monitoring support system 1 of this embodiment can easily analyze monitoring objects and improve business efficiency.

In addition, in this embodiment, the limit information includes the execution limit number of analysis processing set for each group. The Web processing unit 131 prohibits the execution of analysis processing for users belonging to the group when the number of execution times of the analysis processing in the group has reached the execution limit.

Thereby, the monitoring support system 1 of this embodiment can appropriately restrict the use of users for each group by analyzing the number of execution times of the processing, and can reduce the system load.

In addition, in this embodiment, the restriction information includes an upper limit number of signals for obtaining data set for each group. The Web processing unit 131 restricts use by users belonging to the group when the number of signals used to obtain data for analysis processing reaches the upper limit number of signals (for example, the number of contract signals).

Thereby, the monitoring support system 1 of this embodiment can appropriately restrict the use of users for each group by obtaining the upper limit of the signal number of data, thereby reducing the system load.

In addition, the monitoring support system 1 of this embodiment is provided with a user information storage unit 122. The user information storage unit 122 stores at least a group ID (group identification information) and a user ID (user ID) for identifying the user. identification information) to establish corresponding relationships and memorize them. The restriction information includes the upper limit of the number of users set for each group. The Web processing unit 131 restricts the login of users belonging to the group when the number of users belonging to the group stored in the user information storage unit 122 reaches the upper limit of users (number of accounts).

Thereby, the monitoring support system 1 of this embodiment can appropriately restrict the use of users for each group by using the upper limit of the number of users, and can reduce the system load.

In addition, in this embodiment, the limit information includes the execution limit number of analysis processing set by each user. The Web processing unit 131 prohibits the user from executing the analysis process when the number of execution times of the user's analysis processing has reached the execution limit.

Thereby, the monitoring support system 1 of this embodiment can appropriately limit the usage of each user based on the number of executions of analysis processing for each user, and can reduce the system load.

In addition, in this embodiment, the restriction information includes the usage period of the analysis processing set for each group. The Web processing unit 131 restricts use by users belonging to the group when the usage period of the analysis processing has reached the usage expiration date.

Thereby, the monitoring support system 1 of this embodiment can appropriately restrict the use of users by each group based on the usage period of each group, and can reduce the system load.

In addition, in this embodiment, the Web processing unit 131 releases the usage restriction when the additional usage fee has been paid by the group. Thereby, the monitoring support system 1 of this embodiment can appropriately lift the user's usage restrictions and improve convenience.

In addition, the portal server 10 (monitoring support device) of this embodiment includes an analysis processing unit 135 and a Web processing unit 131 (output processing unit). The analysis processing unit 135 analyzes the acquired data of the monitoring target based on a learning model generated using the normal data of the monitoring target registered in advance as the learning data. The Web processing unit 131 outputs the analysis results analyzed by the analysis processing unit 135 and corresponding to each of the plurality of monitoring objects as a list of comparative analysis information for use by the user. The user terminal 20.

Thereby, the portal server 10 (monitoring support device) of this embodiment can achieve the same effect as the above-mentioned monitoring support system 1, and can reduce the workload of monitoring and improve business efficiency.

In addition, the monitoring support method of this embodiment is a monitoring support method of the portal server 10 including the analysis processing unit 135 and the Web processing unit 131, and includes an analysis processing step and an output processing step. In the analysis processing step, the analysis processing unit 135 analyzes the acquired data of the monitoring target based on a learning model generated using the previously registered normal data of the monitoring target as learning data. In the output processing step, the Web processing unit 131 uses the analysis results analyzed by the analysis processing unit 135 and the analysis results corresponding to each of the plurality of monitoring objects as a list of analysis information that can be compared. It is output to the user terminal 20 used by the user.

Thereby, the monitoring support method of this embodiment can achieve the same effect as the above-mentioned monitoring support system 1, and can reduce the workload of monitoring and improve business efficiency.

In addition, the portal server 10 (monitoring support device) of this embodiment includes a learning processing unit 134, an analysis processing unit 135, and a Web processing unit 131 (output processing unit). The learning processing unit 134 uses the normal data of the monitoring target received from the user terminal 20 used by the user as learning data, and generates a learning model for comparison and determination based on the learning data. The analysis processing unit 135 compares the normal data and the analysis data of the monitoring target received from the user terminal 20 used by the user based on the learning model to analyze the analysis data. The Web processing unit 131 (output processing unit) outputs the analysis results analyzed by the analysis processing unit 135 and corresponding to each of the plurality of monitoring objects as a list of analysis information available for comparison. to the user terminal 20.

Thereby, the portal server 10 (monitoring support device) of this embodiment can achieve the same effect as the above-mentioned monitoring support system 1, and can reduce the workload of monitoring and improve business efficiency.

In addition, the monitoring support method of this embodiment is a monitoring support method of the portal server 10 provided with the learning processing unit 134, the analysis processing unit 135, and the Web processing unit 131, and includes a learning processing step, an analysis processing step, and an output processing. steps. In the learning processing step, the learning processing unit 134 uses the normal data of the monitoring target received from the user terminal 20 used by the user as learning data, and generates a learning model for comparison and determination based on the learning data. In the analysis processing step, the analysis processing unit 135 compares the normal data and the analysis data of the monitoring target received from the user terminal 20 used by the user based on the learning model to perform analysis of the analysis data. In the output processing step, the Web processing unit 131 uses the analysis results analyzed by the analysis processing unit 135 and the analysis results corresponding to each of the plurality of monitoring objects as a list of analysis information that can be compared. output to the user terminal 20.

Thereby, the monitoring support method of this embodiment can achieve the same effect as the above-mentioned monitoring support system 1, and can reduce the workload of monitoring and improve business efficiency.

In addition, the portal server 10 (monitoring support device) of this embodiment includes a group information storage unit 121, an analysis processing unit 135, and a Web processing unit 131. The group information storage unit 121 associates and memorizes the group ID that identifies the group to which the user belongs and the restriction information on the analysis processing of the acquired data of the analysis and monitoring target. The analysis processing unit 135 executes analysis processing based on a learning model generated using normal data to be monitored as learning data based on an analysis request from the user terminal 20 used by the user. The Web processing unit 131 restricts the use of the user including execution of the analysis process based on the restriction information stored in the group information storage unit 121 and corresponding to the group to which the user belongs.

Thereby, the portal server 10 (monitoring support device) of this embodiment can achieve the same effect as the above-mentioned monitoring support system 1, and can appropriately restrict the use of users by restricting information, so monitoring can be easily performed. Analysis of objects can improve business efficiency.

In addition, the monitoring support method of this embodiment is a monitoring support method of the portal server 10, which includes an analysis processing step and a restriction processing step. The portal server 10 is equipped with a group information storage unit 121 and an analysis processing unit 135. , and the Web processing unit 131. The group information storage unit 121 associates and stores the group ID with the restriction information on the analysis processing of the acquired data of the analysis monitoring target. In the analysis processing step, the analysis processing unit 135 executes analysis processing based on a learning model generated using normal data to be monitored as learning data based on an analysis request from the user terminal 20 used by the user. In the restriction processing step, the Web processing unit 131 restricts the user including execution of the analysis process based on the restriction information stored in the group information storage unit 121 and corresponding to the group to which the user belongs. use.

Thereby, the monitoring support method of this embodiment can achieve the same effect as the above-mentioned monitoring support system 1, and can appropriately restrict the user's use by restricting information, so that the monitoring target can be easily analyzed, and the monitoring target can be easily analyzed. Improve business efficiency.

In addition, this disclosure is not limited to the above-mentioned embodiment, and changes can be made within the scope which does not deviate from the gist of this disclosure. For example, in the above-mentioned embodiment, the example in which the portal server 10 is constituted by one server device has been described, but the invention is not limited to this and may be constituted by, for example, a plurality of server devices.

In addition, in the above-described embodiment, part or all of the server storage unit 12 may be provided outside the portal server 10 . In addition, part of the functions of the server control unit 13 may be provided outside the portal server 10 .

In addition, in the above-mentioned embodiment, the processing of adding and deleting the analysis information of the monitoring target from the list of the analysis information of the monitoring target and the retrieval processing by retrieving the information performed by the Web processing unit 131 have been explained. For example, it can also be set to perform other operations such as sorting of analysis information of the monitoring target.

Furthermore, in the above-described embodiment, the plurality of monitoring target systems may include equipment whose managers or maintenance operators are different from each other. In addition, the plurality of monitoring target systems may include different equipment in the building (for example, elevators, air conditioners, surveillance cameras). In addition, a plurality of monitoring objects may be set to include different types of power generation equipment (such as thermal power, wind power, hydraulic power, nuclear energy, etc.), and the monitoring support system 1 may display such analysis information in a list.

Furthermore, in the above-described embodiment, a plurality of monitoring objects may include service demand information and equipment used for service provision, and the monitoring support system 1 may display the analysis information in a list. In addition, the plurality of objects may also include power generation equipment and power transmission equipment. In addition, the monitoring support system 1 may be configured to manage a supply chain (for example, fuel dispatch, power generation, power transmission, etc.) using a plurality of monitoring objects.

In addition, each component of the above-mentioned monitoring support system 1 has a computer system inside. Furthermore, a program for realizing the functions of each component of the above-mentioned monitoring support system 1 may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into the computer system and executed. , to perform processing in each configuration of the above-mentioned monitoring support system 1 . Here, "causing the program recorded on the recording medium to be read into the computer system and executed" includes installing the program in the computer system. The "computer system" referred to here includes hardware such as OS (Operation System) and peripheral machines.

In addition, "computer system" may include a plurality of computer devices connected through networks including the Internet, WAN (Wide Area Network), LAN, dedicated lines and other communication lines. In addition, the so-called "recording media that can be read by a computer" refers to flexible disks (flexible disks), optical disks, ROM (Read Only Memory), CD-ROM (Compact Disc Read Only Memory, optical disk only memory). portable media such as read memory), and memory devices such as hard disks built into computer systems. In this way, the recording medium storing the program may be a non-transitory recording medium such as CD-ROM.

In addition, the recording medium also includes an internal or external recording medium that can be accessed from the delivery server in order to deliver the program. In addition, the program may be divided into a plurality of pieces and downloaded at different points in time, and then the various components of the monitoring support system 1 may be combined, or a distribution server may be used to transmit each of the divided programs. But it's different. Furthermore, "computer-readable recording media" includes volatile memory (RAM) (Random Access Memory) inside a computer system such as a server or client when transmitting programs over a network. ) maintains the program for a certain period of time. In addition, the above-mentioned program may also be a part used to realize the above-mentioned functions. Furthermore, it may also be a so-called differential file (difference program) that can realize the above-mentioned functions in combination with a program that has been recorded in the computer system.

1:Monitoring support system 10: Entrance server 11,21:NW Communications Department 12:Server memory department 13:Server control department 20, 20-1, 20-2: User terminal 22:Input part 23:Display part 24: Terminal memory department 25:Terminal Control Department 121: Group information memory department 122:User Information Memory Department 123: Learning Materials Memory Department 124: Monitoring setting memory section 125: Analysis data memory department 126: Learning model memory department 127: Analysis result memory department 128: Report to Information Memory Department 131:Web processing department 132: Data registration processing department 133: Monitoring login processing department 134:Learning Processing Department 135:Analysis and Processing Department 136:Report Processing Department AB1: Abnormal signs part AL1:Notification BT1 to BT5: buttons C1,C2: Enterprise DI: Analyze data information DT1: Study materials DT2: Analyze data G1 to G6: Screen H11,H21:NW adapter H12, H22: memory H13, H23: Processor H24: Input device H25:Display LS1, LS2: Overview NW1:Network RES1: Analysis results RP1:Report W1, W2: waveform WD1 to WD5: input window

FIG. 1 is a diagram showing an example of the main hardware configuration of the monitoring support system of this embodiment. FIG. 2 is a block diagram showing an example of the functional configuration of the monitoring support system of this embodiment. FIG. 3 is a diagram showing an example of data in the group information storage unit of this embodiment. FIG. 4 is a diagram showing an example of data in the user information storage unit of this embodiment. FIG. 5 is a diagram showing an example of data in the monitoring setting storage unit of this embodiment. FIG. 6 is a diagram showing an example of data in the analysis data storage unit of this embodiment. FIG. 7 is a diagram showing an example of report information in this embodiment. FIG. 8 is a diagram showing an example of the analysis processing operation of waveform comparison in the monitoring support system of this embodiment. FIG. 9 is a diagram showing an example of a menu screen of the monitoring support system of this embodiment. FIG. 10 is a diagram showing an example of the analysis and report screen in the waveform comparison of the monitoring support system of this embodiment. FIG. 11 is a diagram showing an example of a data input screen for waveform comparison in the monitoring support system of this embodiment. FIG. 12 is a diagram showing an example of the analysis start screen of the monitoring support system of this embodiment. FIG. 13 is a diagram showing an example of an analysis and report screen after analysis processing of waveform comparison in the monitoring support system of this embodiment. FIG. 14 is a flowchart showing an example of analysis processing of waveform comparison of the portal server (Portal Server) in this embodiment. FIG. 15 is a flowchart showing an example of learning processing for abnormal symptom analysis of the portal server in this embodiment. FIG. 16 is a diagram showing an example of the processing operation of abnormal symptom analysis in the monitoring support system of this embodiment. FIG. 17 is a diagram showing an example of the analysis and report screen in the abnormal symptom analysis of the monitoring support system of this embodiment. FIG. 18 is a flowchart showing an example of abnormality sign analysis processing of the portal server according to this embodiment. FIG. 19 is a diagram showing an example of display processing and deletion processing of the analysis report in the monitoring support system of this embodiment. FIG. 20 is a diagram showing a comparative example of analysis data of the analysis report of the monitoring support system of this embodiment. FIG. 21 is a diagram showing a modification of the data in the user information storage unit in this embodiment.

1:Monitoring support system 10: Entrance server 11:NW Communications Department 12:Server memory department 13:Server control department 20:User terminal 21:NW Communications Department 22:Input part 23:Display part 24: Terminal memory department 25:Terminal Control Department 121: Group information memory department 122:User Information Memory Department 123: Learning Materials Memory Department 124: Monitoring setting memory section 125: Analysis data memory department 126: Learning model memory department 127: Analysis result memory department 128: Report to Information Memory Department 131:Web processing department 132: Data registration processing department 133: Monitoring login processing department 134:Learning Processing Department 135:Analysis and Processing Department 136:Report Processing Department NW1:Network

Claims (9)

A monitoring support system provided with a group information memory unit that associates and memorizes group identification information for identifying a group to which a user belongs, and restriction information on analysis and processing of data obtained by analyzing and monitoring objects. ; The analysis and processing unit performs the aforementioned analysis and processing based on the analysis request from the user terminal used by the aforementioned user and based on the learning model generated by using the normal data of the aforementioned monitoring target as the learning data; and the restriction processing unit performs the aforementioned analysis and processing based on the analysis request from the user terminal used by the aforementioned user. The aforementioned restriction information stored in the aforementioned group information storage unit is the aforementioned restriction information corresponding to the aforementioned group to which the aforementioned user belongs, and the restriction includes the execution of the aforementioned analysis process and the use of the aforementioned user; the aforementioned restriction processing unit When the user's use is not restricted, a list of analysis information corresponding to the group identification information is output to the user terminal, and the user terminal selects the specific monitoring target from the list of analysis information. At this time, report information consisting of the waveform of the normal data and the waveform of the acquired data related to the specific monitoring object is output to the user terminal. The monitoring support system of claim 1, wherein the aforementioned restriction information includes the execution limit number of the aforementioned analysis processing set according to each of the aforementioned groups; the aforementioned restriction processing part is when the execution number of the aforementioned analysis processing in the aforementioned group has been When the aforementioned execution limit is reached, execution of the aforementioned analysis process is prohibited for the aforementioned users belonging to the aforementioned group. The monitoring support system of claim 1, wherein the aforementioned restriction information includes an upper limit number of signals for the aforementioned acquired data set according to each of the aforementioned groups; the aforementioned restriction processing unit is used for the aforementioned analysis and processing of the aforementioned number of signals for the aforementioned acquired data. When the upper limit of the number of signals has been reached, the use of the above-mentioned users belonging to the above-mentioned groups will be restricted. If the surveillance support system in any one of claims 1 to 3 is capable of utilizing The user information memory unit at least establishes a correspondence relationship between the aforementioned group identification information and the user identification information that identifies the aforementioned user and memorizes it; the aforementioned restriction information includes the settings set for each of the aforementioned groups. The upper limit of the aforementioned users; the aforementioned restriction processing unit restricts membership of the aforementioned group when the number of the aforementioned users who belong to the aforementioned group memorized by the aforementioned user information storage unit has reached the aforementioned upper limit of the number of users. Login of the aforementioned user. For example, in the monitoring support system according to any one of claims 1 to 3, the aforementioned restriction information includes the execution limit number of the aforementioned analysis and processing set by each of the aforementioned users; and the aforementioned restriction processing unit is determined by the aforementioned user. When the number of executions of the analysis processing has reached the aforementioned execution limit, execution of the aforementioned analysis processing will be prohibited for the aforementioned user. For the monitoring support system according to any one of claims 1 to 3, the aforementioned restriction information includes the utilization period of the aforementioned analysis and processing set according to each of the aforementioned groups; the aforementioned restriction processing is based on the utilization period of the aforementioned analysis and processing. When the aforementioned use period has expired, the use of the aforementioned users who belong to the aforementioned groups will be restricted. The monitoring support system according to any one of claims 1 to 3, wherein the restriction processing unit releases the use restriction of the user when the additional use fee has been paid by the group. A monitoring support device provided with: a group information memory unit that associates and memorizes group identification information identifying a group to which a user belongs, and restriction information on analysis and processing of acquired data of an analysis target ; The analysis and processing unit performs the aforementioned analysis and processing based on the analysis request from the user terminal used by the aforementioned user and based on the learning model generated by using the normal data of the monitoring target as the learning data; and the restriction processing unit performs the aforementioned analysis and processing based on the analysis request from the user terminal used by the aforementioned user. The aforementioned restricted information stored in the aforementioned group information storage unit, and it is Corresponds to the aforementioned restriction information of the aforementioned group to which the aforementioned user belongs, and the restriction includes the use of the aforementioned user before the execution of the aforementioned analysis process; the aforementioned restriction processing unit will, when the aforementioned user's use is not restricted, respond to the aforementioned restriction information of the aforementioned group. A list of the analysis information of the group identification information is output to the user terminal, and when the user terminal selects the specific monitoring object from the list of the analysis information, the waveform of the normal data related to the specific monitoring object is Report information arranged in the waveform of the acquired data is output to the user terminal. A monitoring support method of a monitoring support device provided with a group information storage unit that identifies a group to which a user belongs, an analysis processing unit, and a restriction processing unit. The monitoring support method includes the following steps: the aforementioned analysis and processing unit establishes a correspondence relationship with and memorizes the restriction information on the analysis and processing of the acquired data of the analysis and monitoring target. It is required that the steps of the aforementioned analysis and processing are performed based on the learning model generated by using the normal data of the aforementioned monitoring object as the learning data; the aforementioned restriction processing unit is based on the aforementioned restriction information stored in the aforementioned group information storage unit, and it is corresponding to The aforementioned restriction information of the aforementioned group to which the aforementioned user belongs, and the restriction includes the steps of performing the aforementioned analysis and processing on the aforementioned user's use; and when the aforementioned user's use is not restricted by the aforementioned restriction processing unit, the corresponding A list of the analysis information of the group identification information is output to the user terminal. When the user terminal selects the specific monitoring target from the list of the analysis information, the normal data related to the specific monitoring target is used. The step of outputting the report information composed of the waveform and the waveform of the obtained data to the user terminal.

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