JP2022030047A - Facility management system and method for managing facility - Google Patents

Abstract

To easily retrieve measurement data relating to an abnormality of a facility from among accumulated measurement data.SOLUTION: A facility management system comprises a data relay device 102 for acquiring measurement data from a sensor 103 mounted in a facility, a management device 100, and a storage device 101. The data relay device 102 imparts first abnormality determination information to first measurement data on the basis of the first measurement data being equal to or higher than a first threshold and transmits to the management device 100, a frame including the first abnormality determination information, the first measurement data and second measurement data. The management device 100 imparts second abnormality determination information to the second measurement data on the basis of the second measurement data being equal to or higher than a second threshold, stores the measurement data and the abnormality determination information in the storage device 101 and outputs a retrieval result acquired from the storage device 101 in response to reception or input of a retrieval request based on any abnormality determination information.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to equipment management, and more specifically to technology that facilitates the retrieval of equipment management information.

CBM (Condition based maintenance) is being carried out to formulate an inspection / maintenance plan for power transmission / transformation equipment that transmits electricity, or a medium- to long-term renewal plan. In CBM, the equipment maintenance plan is formulated based on the condition evaluation using the measurement data acquired by the measurement sensors installed in each equipment. In addition, instead of visual confirmation by conventional maintenance personnel, measurement data of equipment is collected by sensors and the like, and still images and moving images of equipment are collected by surveillance cameras.

With changes in the acquisition method of these data, it is predicted that the amount of measurement data will be enormous compared to the conventional one. Therefore, there is a demand for a technique for maintenance personnel to easily search for measurement data related to equipment abnormalities from a huge amount of measurement data.

Regarding the equipment management technology, for example, Japanese Patent Application Laid-Open No. 2018-164159 (Patent Document 1) states that "the equipment to be monitored includes an equipment main body and a data processing unit for processing acquired data acquired from the equipment main body. The data processing unit is a low-density data acquisition unit that acquires low-density data among the acquired data, and a high-density data acquisition unit that acquires high-density data that has a larger amount of data per hour than the low-density data. The management device is equipped with a unit, a data conversion that converts the density of high-density data into low-density feature data, and a transmission unit that transmits monitoring data including low-density data and feature data. It monitors based on the monitoring data transmitted from the transmitting unit in the data processing unit of the "monitoring system" (see [Summary]).

Japanese Unexamined Patent Publication No. 2018-164159

According to the technique disclosed in Patent Document 1, for example, a maintenance person cannot easily search for measurement data related to an abnormality of equipment from the accumulated measurement data. Therefore, there is a need for a technique for easily searching for measurement data related to equipment abnormalities from the accumulated measurement data.

The present disclosure has been made in view of the above background, and the purpose in a certain aspect is a technique for easily searching measurement data related to equipment abnormality from accumulated measurement data. Is to provide.

An equipment management system according to an embodiment stores a data relay device that acquires measurement data from one or more sensors attached to the equipment, a management device that acquires frames containing measurement data from the data relay device, and measurement data. It is equipped with a storage device. The data relay device assigns the first abnormality determination information to the first measurement data based on the fact that the first measurement data is equal to or higher than the first threshold value, and adds the first abnormality determination information to the first abnormality determination information and the first abnormality determination information. The measurement data and the frame containing the second measurement data are transmitted to the management device. The management device assigns the second abnormality determination information to the second measurement data based on the fact that the second measurement data is equal to or higher than the second threshold value, and adds the second abnormality determination information to the first measurement data and the first abnormality determination. The information, the second measurement data, and the second abnormality determination information are stored in the storage device, and the search request based on the first abnormality determination information and / or the second abnormality determination information is received or input. Correspondingly, the search result acquired from the storage device is output.

According to a certain embodiment, it is possible to easily search the measurement data related to the abnormality of the equipment from the accumulated measurement data.

The above and other objectives, features, aspects and advantages of this disclosure will become apparent from the following detailed description of this disclosure as understood in connection with the accompanying drawings.

It is a figure which shows an example of the structure of the equipment management system according to a certain embodiment. It is a figure which shows the other example of the configuration of the equipment management system according to a certain embodiment. It is a figure which shows an example of the functional structure of each apparatus in the equipment management system 10 according to a certain embodiment. It is a figure which shows an example of the processing procedure of the measurement data of a data relay apparatus 102. It is a figure which shows an example of the structure of the frame 500 generated by the data relay device 102. It is a figure which shows an example of the processing procedure of the frame of the equipment management apparatus 100. It is a figure which shows an example of the format of the data structure 700 which stores the measurement database 101. It is a figure which shows an example of the structure of the information processing apparatus 800 which can be used as an equipment management apparatus 100 and / or a data relay apparatus 102.

Hereinafter, embodiments of the technical concept according to the present disclosure will be described with reference to the drawings. In the following description, the same parts are designated by the same reference numerals. Their names and functions are the same. Therefore, the detailed description of them will not be repeated.

FIG. 1 is a diagram showing an example of a configuration of an equipment management system according to the present embodiment. The equipment management system 10 shown in FIG. 1 includes an equipment management device 100, a measurement database 101, one or more data relay devices 102, one or more measurement sensors 103, and a network 110.

Hereinafter, when each of the plurality of data relay devices 102 is represented, each is represented as the data relay devices 102A, 102B, 102C. When each of the plurality of measurement sensors 103 is represented, each is represented as the measurement sensors 103A, 103B, 103C. Part or all of the equipment management system 10 is installed in a facility such as a substation. The individual equipment in the facility is represented as equipment 104A, 104B, 104C. When these facilities are generically referred to, they are referred to as equipment 104.

The equipment management system 10 and equipment shown in FIG. 1 are examples, and the configuration example of the equipment management system 10 and equipment is not limited to this. In certain aspects, the equipment management system 10 may include any number of data relay devices 102 and measurement sensors 103. Further, the equipment management device 100 may be a cluster composed of a plurality of information processing devices, or may be a virtual machine.

The equipment management device 100 and the measurement database 101 may be installed in the management facility 120, for example. In a certain aspect, the management facility 120 may be a substation control room of a substation or the like. In another aspect, the equipment management device 100 and / or the measurement database 101 may be installed externally via a network, or may be virtually configured in a cloud environment. Further, in another aspect, the measurement database 101 provided in the cloud environment or the server may be able to communicate with each of the equipment management devices 100 installed in each facility.

The measurement sensor 103 is attached to the equipment 104 in the facility or is arranged in the vicinity of the equipment 104, and transmits the measurement data to the data relay device 102. In a certain aspect, one equipment 104 may include a plurality of measurement sensors 103. In that case, each measurement sensor 103 may transmit, for example, measurement data indicating the state of individual parts and the like included in the equipment 104 to the data relay device 102.

In a certain aspect, the measurement sensor 103 may be a camera, an outside line camera, a gas sensor, a vibration sensor, a pressure sensor, a temperature sensor, a humidity sensor, an infrared sensor, a pressure sensor, an acceleration sensor, a gyro sensor, a switch, or any other sensor, or. It may be a combination of these. Further, the measurement sensor 103 is attached to each component of the equipment 104 or arranged in the vicinity of each component according to the application.

For example, in the case of a transformer, the parts of the equipment 104 are windings, tap coils, iron cores, insulating media (insulating paper, insulating oil), tanks, main circuit current-carrying parts, cooling devices, tap switching devices, instruments, relays, etc. Gas insulation switch (GIS), switch (gas breaker, vacuum breaker, oil breaker, air breaker), breaker (main contactor, piston, nozzle, pole capacitor, input resistance, pole insulator) ), Operation unit (tank, filter, pump, accumulator, cylinder, electromagnetic valve), insulation support unit, electrical control unit, operation box, grease, transformer, bushing and the like.

As an example of the measurement target of the measurement sensor 103, there are oil level, oil temperature, gas in oil, moisture in oil in an oil-filled device, gas pressure, gas density and the like in a gas-filled device. These measurement targets do not change suddenly. Therefore, the measurement sensor 103 may measure these measurement targets in seconds or minutes. Further, as another example, the measurement sensor 103 may measure the current value of the control power supply during the operation of the switch in milliseconds only for a few cycles during the operation period of the switch.

Further, when the measurement sensor 103 is a camera, the measurement sensor 103 can capture a still image or a moving image of the appearance of the equipment 104 in order to detect an abnormality in the appearance such as rusting or oil leakage of the equipment 104. .. In certain aspects, the measurement sensor 103 may include a fixed camera, a mobile camera traveling on rails, a camera mounted on a drone, or a camera mounted on a robot of any other shape. Further, when the measurement sensor 103 is an infrared camera, the measurement sensor 103 may take a still image of the appearance of the equipment 104, for example, in order to detect an external overheated portion of the equipment 104. The shooting cycle of the image or video by the measurement sensor 103 may be, for example, from several hours to the order of days.

The data relay device 102 is connected to one or more measurement sensors 103, and acquires measurement data from each of the one or more measurement sensors 103. The data relay device 102 makes an abnormality determination for each of the measurement data acquired from the one or a plurality of measurement sensors 103. Further, the data relay device 102 performs an abnormality determination on the combination of measurement data. The data relay device 102 can appropriately select an abnormality determination method and its parameters according to the type of measurement data. The data relay device 102 attaches a tag (abnormality determination information) to the measurement data or a combination of the measurement data determined to have an abnormality.

As an example, the method of abnormality determination may include abnormality determination using a threshold value, abnormality detection by image analysis, and the like. When the measurement data includes numerical data, the data relay device 102 performs moving average, missing data complementation, extraction of frequency components by Fourier analysis, and regression analysis for the measurement data before determining an abnormality in the measurement data. Statistical processing such as parameter extraction by Further, the data relay device 102 may execute a plurality of determination processes for one measurement data.

Further, the data relay device 102 transmits a frame including one or a plurality of measurement data acquired from the measurement sensor 103 and a tag (abnormality determination information) associated with the measurement data to the equipment management device 100. The data relay device 102 may transmit frames individually to the equipment management device 100, or may collectively transmit a plurality of frames to the equipment management device 100. In a certain aspect, the data relay device 102 may not perform abnormality determination on some or all of the measured data. For example, when the data relay device 102 acquires the first measurement data and the second measurement data, the data relay device 102 may execute the abnormality determination only for the first measurement data. In that case, the data relay device 102 transmits, for example, a frame including the first measurement data, the abnormality determination information added to the first measurement data, and the second measurement data to the equipment management device 100.

In certain aspects, the data relay device 102 may be a dedicated device including a PC (Personal Computer), a tablet, a smartphone, a workstation, an embedded computer, or a combination thereof. Further, in another aspect, the data relay device 102 may be integrated with one or a plurality of measurement sensors 103.

The equipment management device 100 receives a frame from one or a plurality of data relay devices 102, and stores the frame in the measurement database 101. In one aspect, the data relay device 102 may store the frame directly in the measurement database 101.

The equipment management device 100 performs an abnormality determination for each of the frames acquired from the one or a plurality of data relay devices 102. More specifically, the equipment management device 100 performs abnormality determination on a part or all of the measurement data included in the frame. Further, the equipment management device 100 can perform abnormality determination on the combination of measurement data. At that time, the data relay device 102 can appropriately select the abnormality determination method and its parameters according to the type of measurement data. The equipment management device 100 attaches a tag (abnormality determination information) to the measurement data or a combination of the measurement data determined to have an abnormality. The abnormality determination performed by the equipment management device 100 may include image analysis as an example. As another example, the equipment management device 100 may perform an abnormality determination that cannot be executed by the data relay device 102, such as an abnormality determination for a combination of measurement data included in a frame acquired from a plurality of data relay devices 102.

The equipment management device 100 may be a dedicated device including a PC, a tablet, a smartphone, a workstation, a cluster, a virtual machine built on a cloud environment, an embedded computer, or a combination thereof.

The measurement database 101 stores the measurement data and the tag (abnormality determination information) associated with the measurement data. In order to facilitate the search by maintenance personnel, the measurement data includes the type of failure for each equipment, manufacturer, model / manufacturing year, equipment operation start year / aging, and installation conditions (substation where the equipment is installed). , Environmental conditions such as seaside, etc.) may be included. If the equipment 104 is a transformer, the failure type is, for example, a failure event (partial discharge, decomposition gas generation, winding overheating, oil leakage) leading to dielectric breakdown, or a gas insulation switchgear (GIS (Gas Insulated Switchgear)). Failure events (gas breakers, vacuum breakers, oil breakers, air breakers), failure events leading to short circuits / ground faults (partial discharge, foreign matter generation, nozzle wear / damage), and failure events leading to inability to open / close (partial discharge, foreign matter generation, nozzle wear / damage) It may include tank cracks, filter clogging, oil leakage / decrease in oil volume, decrease in oil pressure / air pressure), etc.

In a certain aspect, the measurement database 101 may be expressed as a relational database, or may be expressed in the form of NoSQL (Not only Structured Query Language) such as a key-value type or a document type. Further, in another aspect, the measurement database 101 may be expressed in any other data format such as JSON (JavaScript (registered trademark) Object Notation).

The network 110 connects the equipment management device 100, the measurement database 101, the data relay device 102, and the measurement sensor 103 to each other, and enables data transmission / reception between each device. In a certain aspect, the network 110 may be a local area network including Ethernet (registered trademark) and the like. In that case, each device connected to the network 110 can send and receive data using a communication protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol) and UDP (User Datagram Protocol).

As described above, the equipment management system 10 performs abnormality determination on the measurement data in both the data relay device 102 and the equipment management device 100. Further, the equipment management system stores the measurement data and the tag (abnormality determination information) associated with the measurement data in the measurement database 101. By using these tags (abnormality determination information) as search keys, facility maintenance personnel can easily search for measurement data related to the abnormality of the equipment 104.

FIG. 2 is a diagram showing another example of the configuration of the equipment management system according to the present embodiment. In the facility management system shown in FIG. 2, the facility management device 100 and the measurement database 101 are installed outside the facility 200. In one aspect, the equipment management device 100 and the measurement database 101 may be a server or a virtual machine built on a cloud environment, and may be connected to the gateway device 220 of the facility 200 via the wide area network 230.

The data relay device 102 transmits the frame to the gateway device 220 instead of the equipment management device 100. The gateway device 220 transmits the received frame to the facility management device 100 or the measurement database 101 outside the facility 200.

The equipment management device 100 and the measurement database 101 may be connected to a plurality of facilities via the wide area network 230. In this case, for example, the equipment management device 100 and the measurement database 101 may collect frames from the gateway device 220 of each facility.

FIG. 3 is a diagram showing an example of the functional configuration of each device in the equipment management system 10 according to the present embodiment. Some or all of the functional configurations shown in FIG. 3 may be realized by hardware, software, or a combination thereof.

The data relay device 102 includes one or more data collection units 301, a measurement database 302, an abnormality detection unit 303, an abnormality determination rule base 304, and an alarm transmission unit 305. The equipment management device 100 includes a data collection unit 306, a measurement database 307, an abnormality determination rule update unit 308, a rule base 309 for updating the abnormality determination rule, and an abnormality determination rule transmission unit 310.

The data collection unit 301 receives measurement data from the measurement sensor 103. The measurement data may be analog data, digital data, image data, video data, sound data, or a combination thereof. In a certain aspect, the data collection unit 301 may acquire an identifier for identifying the measurement sensor 103 from the measurement sensor 103 in addition to the measurement data. In another aspect, the measurement sensor 103 may assign an identifier that identifies the measurement sensor 103 to the received measurement data. When the data relay device 102 includes a plurality of data collection units 301, the identifier of the measurement sensor 103 connected to each data collection unit 301 may be stored in a memory (not shown).

The measurement database 302 stores the measurement data received by the data collection unit 301. The abnormality detection unit 303 acquires measurement data from the data collection unit 301 or the measurement database 302. Further, the abnormality detection unit 303 acquires an abnormality determination rule for each type of measurement data from the abnormality determination rule base 304. The abnormality detection unit 303 executes abnormality determination for the measurement data based on the abnormality determination rule. When the abnormality detection unit 303 determines that there is an abnormality in the measurement data, the abnormality detection unit 303 attaches a tag (abnormality determination information) to the measurement data. The abnormality detection unit 303 can execute an abnormality determination for one measurement data and an abnormality determination for a combination of a plurality of measurement data.

The alarm transmission unit 305 includes the measurement data and the tag (abnormality determination information) in the frame, and transmits the frame to the equipment management device 100. In a certain aspect, the alarm transmission unit 305 may transmit only the measurement data to which the tag (abnormality determination information) is attached to the equipment management device 100. In another aspect, the alarm transmission unit 305 may transmit the measurement data to which the tag (abnormality determination information) is not attached to the equipment management device 100. Further, in another aspect, the alarm transmission unit 305 may transmit the measurement data to which the tag indicating normality is attached to the equipment management device 100.

The data collection unit 306 receives a frame from the data relay device 102. The measurement database 307 stores measurement data and tags (abnormality determination information) included in the frame received by the data collection unit 306. In a certain aspect, the measurement database 307 may store only the measurement data (abnormality data) to which the tag (abnormality determination information) is attached. In another aspect, the measurement database 307 may store measurement data (normal data) to which a tag (abnormality determination information) is not attached, or measurement data to which a tag indicating normality is attached. The equipment management device 100 may use, for example, normal data for comparison with abnormal data.

The abnormality determination rule update unit 308 may update the abnormality determination rule based on, for example, the equipment management device 100 accepting an operation for changing a tag (abnormality determination information) attached to the measurement data. At that time, the abnormality determination rule update unit 308 may refer to the rule base 309 for updating the abnormality determination rule. The rule base 309 for updating the abnormality determination rule may include, for example, a rule such as how to update the abnormality determination rule depending on the number of received operations and / and the type of operation. The rule updated by the abnormality determination rule update unit 308 includes an abnormality determination rule used by the data relay device 102 and an abnormality determination rule used by the equipment management device 100.

The abnormality determination rule transmission unit 310 transmits to the data relay device 102 the update information of the abnormality determination rule used by the data relay device 102. The data relay device 102 updates the abnormality determination rule base 304 based on the fact that the update information is received. The update information of the abnormality determination rule used by the equipment management device 100 is used for updating the abnormality determination rule inside the equipment management device 100.

FIG. 4 is a diagram showing an example of a procedure for processing measurement data of the data relay device 102. With reference to FIG. 4, a procedure for processing measurement data in the data relay device 102 connected to the measurement sensors 103A, 103B, 103C will be described. It is assumed that the data relay device 102 receives the measurement data (1), (2), and (3) from each of the measurement sensors 103A, 103B, and 103C.

The flow 400A is a process related to the measurement data (1). The flow 400B is a process related to the measurement data (2). The flow 400C is a process related to the measurement data (3). The data relay device 102 may execute these flows 400A, 400B, 400C in parallel or sequentially.

In step S410, the data relay device 102 executes an abnormality determination on the measurement data received from the measurement sensor 103. When the data relay device 102 determines that there is an abnormality in the measurement data (YES in step S410), the data relay device 102 adds a flag of the abnormality determination information to the measurement data and shifts control to step S420. If this is not the case (NO in step S410), the data relay device 102 shifts control to step S420 without adding the flag of the abnormality determination information to the measurement data.

In step S420, the data relay device 102 executes an abnormality determination for any combination of measurement data received from the measurement sensor 103. As an example, the data relay device 102 may execute the abnormality determination for the combination of the measurement data (1), (2), and (3) in step S420 of the flow 400A. Further, as another example, the data relay device 102 may execute the abnormality determination for the combination of the measurement data (2) and (3) in step S420 of the flow 400B.

The data relay device 102 may, for example, perform abnormality determination processing on a combination of gas pressure measurement data and temperature measurement data. In this way, the data relay device 102 can detect an abnormality in the equipment 104 that cannot be determined by only one measurement data by performing an abnormality determination for any combination of measurement data. In a certain aspect, the data relay device 102 does not have to execute the process of step S420 when the process of combining the measurement data is unnecessary.

When the data relay device 102 determines that there is an abnormality in the combination of measurement data (YES in step S420), the data relay device 102 adds a flag of abnormality determination information to the combination of measurement data, and shifts control to step S430. If this is not the case (NO in step S420), the data relay device 102 shifts control to step S430 without adding the abnormality determination information flag to the combination of measurement data.

In step S430, the data relay device 102 attaches a tag (abnormality determination information) corresponding to the flag assigned to the measurement data in steps S410 and S420 to the measurement data. In a certain aspect, the process of step S430 may be included in the process of steps S410 and S420.

In step S440, the data relay device 102 generates a frame including a tag (abnormality determination information) attached to one or more measurement data, measurement data, and / or a combination of measurement data, and manages the frame. It is transmitted to the device 100. In a certain aspect, the data relay device 102 may transmit these measurement data to the equipment management device 100 without performing abnormality determination on some measurement data such as images and / or videos.

FIG. 5 is a diagram showing an example of the configuration of the frame 500 generated by the data relay device 102. The frame 500 includes measurement data 501, a data relay device ID (Identifier) 502, a measurement sensor ID 503, a time stamp 504, an abnormality determination information 505, and an abnormality determination information 506.

The measurement data 501 includes one or more measurement data received by the data relay device 102 from the measurement sensor 103. The data relay device ID 502 uniquely identifies the data relay device 102 that generated the frame 500. The measurement sensor ID 503 uniquely identifies the measurement sensor 103 that outputs the measurement data 501 included in the frame 500. In a certain aspect, when the measurement data 501 includes a plurality of measurement data, the measurement sensor ID 503 may include each ID of the measurement sensor 103 that outputs each measurement data.

The time stamp 504 may include a time stamp of the timing at which the frame 500 is generated or transmitted. The abnormality determination information 505 is a tag (abnormality determination information) associated with a single measurement data. The abnormality determination information 505 is information related to the abnormality determination process in step S410. In a certain aspect, the abnormality determination information 505 may include one or more tags. The abnormality determination information 506 is a tag (abnormality determination information) associated with a combination of a plurality of measurement data. The abnormality determination information 506 is information related to the abnormality determination process in step S420. In a certain aspect, the abnormality determination information 506 may include one or more tags.

FIG. 6 is a diagram showing an example of a frame processing procedure of the equipment management device 100. A frame processing procedure in the equipment management device 100 will be described with reference to FIG. It is assumed that the equipment management device 100 receives frames (1), (2), and (3) from one or a plurality of data relay devices 102.

The flow 600A is a process related to the frame (1). The flow 600B is a process related to the frame (2). The flow 600C is a process related to the frame (3). The equipment management device 100 may execute these flows 600A, 600B, 600C in parallel or sequentially.

In step S610, the equipment management device 100 executes abnormality determination for the measurement data included in the frame received from the measurement sensor 103 or a combination of a plurality of measurement data. When the equipment management device 100 determines that there is an abnormality in the measurement data or a combination of a plurality of measurement data (YES in step S610), a tag (abnormality determination information) is added to the measurement data or the combination of the plurality of measurement data. Then, control is transferred to step S620. If this is not the case (NO in step S610), the equipment management device 100 shifts control to step S620 without attaching a tag (abnormality determination information) to the measurement data.

As an example, the equipment management device 100 may execute an abnormality determination for a combination of measurement data included in one frame, for example, the frame (1). Further, as another example, the equipment management device 100 may execute an abnormality determination for a combination of measurement data included in a plurality of frames, for example, frames (1) and (2).

As an example, the equipment management device 100 can more accurately detect an abnormality in the equipment 104 by combining image data obtained by capturing images of the equipment 104 from different angles and determining the abnormality. Further, as another example, the equipment management device 100 can detect the abnormality of the equipment 104 more accurately by combining the numerical data by the sensor and the image data to determine the abnormality.

In step S620, the equipment management device 100 acquires a learning model for image analysis or the like from the measurement database 101, and uses the learning model to obtain measurement data or a plurality of measurement data included in a frame received from the measurement sensor 103. Abnormality judgment is executed for the combination.

When the equipment management device 100 determines that there is an abnormality in the measurement data or a combination of a plurality of measurement data (YES in step S620), a tag (abnormality determination information) is added to the measurement data or the combination of the plurality of measurement data. Then, control is transferred to step S630. If this is not the case (NO in step S620), the equipment management device 100 shifts control to step S630 without attaching a tag (abnormality determination information) to the measurement data. In one aspect, the equipment management device 100 may execute only the process of step S610 or the process of step S620.

At the end of step S620, the equipment management device 100 stores the measurement data and the tag (abnormality determination information) associated with the measurement data in the measurement database 101. Further, the equipment management device 100 stores a combination of a plurality of measurement data and a tag associated with the combination of the plurality of measurement data in the measurement database 101.

In step S630, the equipment management device 100 accepts the input of the tag (abnormality determination information) search or correction process. The facility maintenance staff uses the tag (abnormality determination information) attached to the measurement data by the data relay device 102 and the tag (abnormality determination information) attached to the measurement data by the equipment management device 100 as search keys. Data related to the abnormality of the equipment 104 can be easily searched.

The equipment management device 100 determines the abnormality determination rule or learning model used in the data relay device 102 and / or the equipment management device 100 based on the reception of the input of the search or correction process of the tag (abnormality determination information). Can be updated. In a certain aspect, the equipment management device 100 may update the abnormality determination rule related to the measurement data based on the acceptance of the process of deleting or correcting the tag (abnormality determination information) of the measurement data. By the update process, the equipment management device 100 can learn the judgment criteria of the maintenance staff of the skilled facility and reflect the judgment criteria in the abnormality judgment rule.

In step S640, the equipment management device 100 executes the equipment preservation action. Equipment preservation actions include changing the operation settings of each equipment. In a certain aspect, the equipment management device 100 may execute the equipment preservation action based on the reception of the input of the execution command of the equipment preservation action. In another aspect, the equipment management device 100 may execute the equipment storage action based on the tag (abnormality determination information) accumulated in the measurement database 101.

Next, with reference to FIGS. 4 and 6, a series of flow of abnormality determination of measurement data in each of the data relay device 102 and the facility management device 100 will be described by taking a gas circuit breaker, which is one of the facilities 104, as an example. explain. The gas circuit breaker is provided with a seal for sealing the SF6 gas (sulfur hexafluoride) enclosed inside. As the seal deteriorates, the internal gas pressure of the gas circuit breaker decreases.

First, the abnormality determination of the measurement data in the data relay device 102 will be described. It is assumed that the data relay device 102 (1) is connected to the gas pressure sensor attached to the gas circuit breaker and the temperature sensor. It is assumed that the data relay device 102 (2) is connected to a surveillance camera for monitoring the appearance of the gas circuit breaker. The gas pressure sensor, the temperature sensor, and the surveillance camera all correspond to the measurement sensor 103.

The data relay device 102 (1) receives the gas pressure of the gas circuit breaker as measurement data from the gas pressure sensor. Further, the data relay device 102 (1) receives the tank temperature of the gas circuit breaker from the temperature sensor.

The data relay device 102 (1) makes an abnormality determination not only for each of the received gas pressure and the tank temperature, but also for the combination of the gas pressure and the tank temperature. The data relay device 102 (1) calculates the corrected gas pressure from the received gas pressure and the tank temperature. When the data relay device 102 (1) determines that the corrected gas pressure is equal to or less than a predetermined threshold value, the measurement data (combination of gas pressure and tank temperature) is combined with a gas pressure abnormality tag (abnormality determination information). Is given.

In a certain aspect, the tag (abnormality determination information) may include a numerical value or a symbol (normally 0, gas pressure abnormality 1, partial discharge abnormality 2, etc.) indicating each state of the equipment 104. The data relay device 102 (1) includes the measurement data (combination of gas pressure and tank temperature) and the tag associated with the measurement data (tag of gas pressure abnormality) in the frame, and puts the frame into the equipment management device 100. Send.

The range of normal values for gas pressure in a gas circuit breaker may vary depending on the tank temperature. Therefore, as described above, the data relay device 102 calculates the corrected gas pressure from the gas pressure and the tank temperature, and executes an abnormality determination for the corrected gas pressure (combination of a plurality of measurement data). The state of the gas pressure of the gas circuit breaker can be determined more accurately.

The data relay device 102 (2) receives image data from the surveillance camera at predetermined intervals. In a certain aspect, the data relay device 102 (2) may receive video data or a combination of image data and video data from a surveillance camera. The data relay device 102 (2) executes an abnormality determination of the received image data by image analysis or the like. The data relay device 102 (2) attaches a tag (tag of appearance abnormality) to the image data based on the determination that the image data has an abnormality. In a certain aspect, the equipment management device 100 may execute the abnormality determination of the image data.

The data relay device 102 (2) includes the measurement data (image data) and the tag associated with the measurement data (tag of appearance abnormality) in the frame, and transmits the frame to the equipment management device 100.

As the first frame, the equipment management device 100 receives a gas pressure abnormality tag (abnormality determination information) from the data relay device 102 (1) to a combination of measurement data (gas pressure and tank temperature). As the second frame, the equipment management device 100 receives measurement data (image data) and tags associated with the measurement data (tags with abnormal appearance) from the data relay device 102 (2).

The equipment management device 100 executes an abnormality determination for a combination of measurement data included in each of the first frame and the second frame. For example, the appropriate threshold value for determining the appearance abnormality of the image data may change depending on the corrected gas pressure of the gas circuit breaker. Therefore, the equipment management device 100 executes an abnormality determination process for a combination of measurement data included in a plurality of frames. For example, the equipment management device 100 attaches a tag (abnormal gas pressure) to the measurement data (combination of gas pressure, tank temperature, and image data) based on the determination that there is an abnormality in the combination of measurement data. The measurement data and tags (abnormality determination information) are stored in the measurement database 101.

The maintenance staff of the facility can search the measurement database 101 based on the tag (abnormality determination information) attached to each measurement data. In a certain aspect, the maintenance personnel may execute the search via the input device provided in the equipment management device 100. In that case, the maintenance staff can confirm the search result displayed on the display provided in the equipment management device 100. In other aspects, the maintenance personnel may send search queries from other devices to the measurement database. In that case, the maintenance personnel may check the search results displayed on the display provided in the other device.

As an example of the search, the maintenance staff can search for image data or the like using the appearance abnormality tag as a search key. The maintenance staff visually inspects the image data, etc. that hit the search, and if it determines that the tag attached to the image data is incorrect, deletes or corrects the tag (changes the appearance abnormality tag to a normal tag). Etc.).

As another example of the search, the maintenance person can search the image data or the like using the damaged tag as a search key. The maintenance staff visually inspects the image data, etc. that hit the search, and if it determines that the tag attached to the image data is incorrect, deletes or corrects the tag (changes the damaged tag to a normal tag). Etc.).

In addition, when multiple tags (gas pressure abnormality, oil leakage) are associated with a certain equipment, maintenance personnel can easily determine the cause of the equipment abnormality by checking these multiple tags and image data. Can be investigated.

As another example, the gas pressure sensor may be connected to the data relay device 102 (1), and the temperature sensor may be connected to the data relay device 102 (2). In this case, the equipment management device 100 may receive frames from each of the data relay device 102 (1) and the data relay device 102 (2), and execute an abnormality determination for the combination of gas pressure and temperature measurement data.

The equipment management device 100 can update the rules for abnormality determination in the data relay device 102 and / or the equipment management device 100 based on the input of tag correction by the maintenance staff, and can improve the accuracy of the abnormality determination.

FIG. 7 is a diagram showing an example of the format of the data structure 700 stored in the measurement database 101. The data structure 700 illustrated in FIG. 7 is a table of a relational database, but the method of realizing the data structure 700 is not limited to this. In certain aspects, the data structure 700 may be in a data format stored in a NoSQL database such as a key-value type or a document type. Further, in other aspects, the data structure 700 may be represented in any other data format such as JSON.

The data structure 700 includes an ID 701, an acquisition date 702, an acquisition date and time 703, measurement data 704, a measurement sensor ID 705, a data relay device ID 706, and tags 707 to 709.

ID 701 uniquely identifies the record contained in the data structure 700. The acquisition date 702 is the date when the record is stored in the measurement database 101. The acquisition date and time 703 is a time stamp of the timing when the record is stored in the measurement database 101.

The measurement data 704 is the measurement data output by the measurement sensor 103. The measurement sensor ID 705 uniquely identifies the measurement sensor 103 that outputs the measurement data. The data relay device ID 706 uniquely identifies the data relay device 102 that relays the measurement data.

The tags 707 to 709 are tags (abnormality determination information) attached to the measurement data by the data relay device 102 or the equipment management device 100. The number of tags can be increased or decreased depending on the number of abnormality determinations of the measurement data and the like. Therefore, the number of tags may be any number of one or a plurality.

In certain aspects, the measurement data 704 may include a combination of measurement data. In that case, each of the measurement sensor ID 705, the data relay device ID 706, and / or the tags 707 to 709 may also include a plurality of elements.

FIG. 8 is a diagram showing an example of the configuration of the information processing device 800 that can be used as the equipment management device 100 and / or the data relay device 102. The information processing unit 800 includes a CPU (Central Processing Unit) 801, a primary storage device 802, a secondary storage device 803, an external device interface 804, an input interface 805, an output interface 806, and a communication interface 807. include.

The CPU 801 can execute a program for realizing various functions of the information processing apparatus 800. The CPU 801 is composed of, for example, at least one integrated circuit. The integrated circuit may be composed of, for example, at least one CPU, at least one FPGA (Field Programmable Gate Array), or a combination thereof.

The primary storage device 802 stores the program executed by the CPU 801 and the data referenced by the CPU 801. In a certain aspect, the primary storage device 802 may be realized by a DRAM (Dynamic Random Access Memory), a SRAM (Static Random Access Memory), or the like.

The secondary storage device 803 is a non-volatile memory and may store a program executed by the CPU 801 and data referenced by the CPU 801. In that case, the CPU 801 executes the program read from the secondary storage device 803 to the primary storage device 802, and refers to the data read from the secondary storage device 803 to the primary storage device 802. In a certain aspect, the secondary storage device 803 is realized by an HDD (Hard Disk Drive), an SSD (Solid State Drive), an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory), a flash memory, or the like. You may.

The external device interface 804 may accept connections from any external device such as a printer, scanner and external HDD. In a certain aspect, the external device interface 804 may be realized by a USB (Universal Serial Bus) terminal or the like.

The input interface 805 may be connected to any input device such as a keyboard, mouse, touchpad or gamepad. In certain aspects, the input interface 805 may be implemented by a USB terminal, a PS / 2 terminal, a Bluetooth® module, and the like.

The output interface 806 may be connected to any output device such as a cathode ray tube display, a liquid crystal display or an organic EL (Electro-Luminescence) display. In a certain aspect, the output interface 806 may be realized by a USB terminal, a D-sub terminal, a DVI (Digital Visual Interface) terminal, an HDMI (registered trademark) (High-Definition Multimedia Interface) terminal, and the like.

The communication interface 807 is connected to a wired or wireless network device. In certain aspects, the communication interface 807 may be implemented by a wired LAN (Local Area Network) port, a Wi-Fi® (Wireless Fidelity) module, and the like. In another aspect, the communication interface 807 may transmit and receive data using a communication protocol such as TCP / IP and UDP.

As described above, the equipment management system 10 according to the present embodiment appropriately determines an abnormality in the measurement data and the combination of the measurement data in each of the data relay device 102 and the equipment management device 100. By the abnormality determination process, the measurement database 101 can store the measurement data verified from various angles and the tag associated with the measurement data. By using the tag as a search key, the maintenance staff can easily find out the failure of the equipment.

Further, the equipment management system 10 updates the abnormality determination rule (threshold value) based on the input of the tag correction command from the maintenance staff, and applies the abnormality determination rule to the data relay device 102 and the equipment management. Used in device 100. By the update process of the abnormality determination rule, the equipment management system 10 can improve the accuracy of the abnormality determination of the measurement data.

Further, the data relay device 102 may perform abnormality determination on the measurement data or a combination of measurement data, and transmit only the measurement data having an abnormality to the equipment management device 100. By this processing, the equipment management system 10 can suppress the communication traffic between the data relay device 102 and the equipment management device 100.

It should be considered that the embodiments disclosed this time are exemplary in all respects and not restrictive. The scope of the present disclosure is shown by the scope of claims rather than the above description, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims. Further, the disclosure contents described in the embodiments and the respective modifications are intended to be carried out alone or in combination as much as possible.

10 equipment management system, 100 equipment management equipment, 101, 302,307 measurement database, 102 data relay equipment, 103 measurement sensor, 104 equipment, 110 network, 120 management facility, 200 equipment, 220 gateway equipment, 230 wide area network, 301, 306 Data collection unit, 303 Abnormality detection unit, 304 Abnormality judgment rule base, 305 Alarm transmission unit, 308 Abnormality judgment rule update unit, 309 Rule base for updating abnormality judgment rule, 310 Abnormality judgment rule transmission unit, 500 frames, 501,704 measurement data, 502,706 data relay device ID, 503,705 measurement sensor ID, 504 time stamp, 505,506 abnormality judgment information, 700 data structure, 701 ID, 702 acquisition date, 703 acquisition date and time, 707,708 , 709 tag, 800 information processing device, 801 CPU, 802 primary storage device, 803 secondary storage device, 804 external device interface, 805 input interface, 806 output interface, 807 communication interface.

Claims (14)

A data relay device that acquires measurement data from one or more sensors installed in the equipment,
A management device that acquires a frame containing the measurement data from the data relay device, and
It is equipped with a storage device for storing the measurement data.
The data relay device is
Based on the fact that the first measurement data is equal to or higher than the first threshold value, the first abnormality determination information is added to the first measurement data.
The frame containing the first abnormality determination information, the first measurement data, and the second measurement data is transmitted to the management device.
The management device is
Based on the fact that the second measurement data is equal to or higher than the second threshold value, the second abnormality determination information is added to the second measurement data.
The first measurement data, the first abnormality determination information, the second measurement data, and the second abnormality determination information are stored in the storage device.
An equipment management system that outputs a search result acquired from the storage device in response to receiving or inputting a search request based on the first abnormality determination information and / or the second abnormality determination information. The second measurement data is image data, and is
The equipment management system according to claim 1, wherein the second threshold value includes an image feature amount. The management device further
Accepting the input of the first abnormality determination information and / or the correction instruction of the second abnormality determination information,
The equipment management system according to claim 1 or 2, wherein the first abnormality determination information and / or the second abnormality determination information is deleted or corrected based on the correction instruction. The equipment management system according to claim 3, wherein the management device updates the second threshold value based on the deletion or correction of the second abnormality determination information based on the correction instruction. The management device further
Based on the correction instruction, the first threshold value is updated based on the deletion or correction of the first abnormality determination information.
The equipment management system according to claim 3, wherein the updated first threshold value is transmitted to the data relay device. The data relay device further
Based on the acquisition of the third measurement data and the fourth measurement data, the abnormality determination for the combination of the third measurement data and the fourth measurement data is executed.
Based on the determination that there is an abnormality in the combination of the third measurement data and the fourth measurement data, the third abnormality determination information is added to the combination of the third measurement data and the fourth measurement data. And
The equipment management system according to any one of claims 1 to 5, wherein the frame includes the third measurement data, the fourth measurement data, and the third abnormality determination information. The management device further
Based on the reception of the plurality of the frames, the abnormality determination is executed for the combination of the measurement data included in each of the plurality of the frames.
Based on the determination that there is an abnormality in the combination of the measurement data, the fourth abnormality determination information is added to the combination of the measurement data.
The equipment management system according to any one of claims 1 to 6, wherein the combination of the measurement data and the fourth abnormality determination information are stored in the storage device. It ’s a method of managing equipment,
In a data relay device that acquires measurement data from one or more sensors attached to equipment, the first abnormality in the first measurement data is based on the fact that the first measurement data is equal to or higher than the first threshold value. Steps to add judgment information and
A step of transmitting a frame containing the first abnormality determination information, the first measurement data, and the second measurement data to the management device, and
A step of adding the second abnormality determination information to the second measurement data based on the fact that the second measurement data is equal to or higher than the second threshold value.
A step of storing the first measurement data and the first abnormality determination information, and the second measurement data and the second abnormality determination information in a storage device.
A method comprising the step of outputting a search result acquired from the storage device in response to receiving or inputting a search request based on the first abnormality determination information and / or the second abnormality determination information. The second measurement data is image data, and is
The method according to claim 8, wherein the second threshold value includes an image feature amount. A step of accepting input of the first abnormality determination information and / or a correction instruction of the second abnormality determination information, and
The method according to claim 8 or 9, further comprising a step of deleting or correcting the first abnormality determination information and / or the second abnormality determination information based on the correction instruction. The method according to claim 10, further comprising a step of updating the second threshold value based on the deletion or correction of the second abnormality determination information based on the correction instruction. A step of updating the first threshold value based on the deletion or correction of the first abnormality determination information based on the correction instruction.
10. The method of claim 10, further comprising transmitting the updated first threshold to the data relay device. Based on the acquisition of the third measurement data and the fourth measurement data, the step of executing the abnormality determination for the combination of the third measurement data and the fourth measurement data, and
Based on the determination that there is an abnormality in the combination of the third measurement data and the fourth measurement data, the third abnormality determination information is added to the combination of the third measurement data and the fourth measurement data. And the steps to give
The method according to any one of claims 8 to 12, further comprising a step of including the third measurement data, the fourth measurement data, and the third abnormality determination information in the frame. A step of executing an abnormality determination for a combination of measurement data included in each of the plurality of frames based on the reception of the plurality of frames, and a step of performing an abnormality determination.
Based on the determination that there is an abnormality in the combination of the measurement data, the step of adding the fourth abnormality determination information to the combination of the measurement data, and
The method according to any one of claims 8 to 13, further comprising a step of storing the combination of the measurement data and the fourth abnormality determination information in the storage device.

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