JP2020086495A - Maintenance apparatus and maintenance method of electrical device - Google Patents

Abstract

To provide a technique performing maintenance of an electrical device based on a degree of deterioration of each part constituting the electrical device.SOLUTION: A maintenance apparatus 100 for maintaining and managing a plurality of electrical devices is provided. The maintenance apparatus 100 includes a device master 301, an inspection record 302, a sensor record 303, a deterioration degree flow information 305, a part score 309, and a device score 310. The maintenance apparatus 100 obtains the deterioration degree flow information 305 storing a deterioration degree of each of parts of the electrical device to be maintained based on the device master 301, the inspection record 302, and the sensor record 303. Furthermore, the maintenance apparatus 100 calculates each of the part score 309 of the plurality of parts constituting the electrical device to be maintained based on the deterioration degree flow information 305, calculate the device score 310 of each of the electrical device based on the part score 309, and obtains a soundness of the electrical device to be maintained.SELECTED DRAWING: Figure 3

Description

The present disclosure relates to a maintenance device and a maintenance method for electrical equipment.

Among electric devices such as transformers, there are oil-filled electric devices that use oil as an insulator. These oil-filled electrical devices are often used as part of social infrastructure. In addition, workers involved in the maintenance work of electrical equipment are required to perform periodic inspections of each oil-filled electrical equipment, grasp the state by analysis/measurement, and perform maintenance before failure.

Generally, an oil-filled electric device is composed of various parts such as an iron core, a coil, insulating oil, and a bushing. In addition, the occurrence rate of defects and the degree of progress of deterioration are different for each part. Therefore, it is difficult for a skilled expert to grasp the deterioration state of the oil-filled electrical equipment to be inspected. Also, regarding the judgment criteria for deterioration of oil-filled electrical equipment, there are standards and judgment values for individual items such as general characteristics of insulating oil, but there is no judgment criterion when a plurality of items deteriorate.

Furthermore, electric power companies have many oil-filled electrical devices from different manufacturers, and it is necessary to maintain all of these oil-filled electrical devices. Therefore, there is a problem that the determination of deterioration of the oil-filled electric device becomes more and more complicated. At present, the judgment criteria for deterioration of oil-filled electrical equipment have been partially optimized, but not for large quantities of oil-filled electrical equipment as a whole, and experts are individually Deterioration is judged. It is expected that the number of specialists will decrease in the future, and there is a demand for a method that can easily prioritize conservation.

Regarding the conventional maintenance of electric devices, for example, Patent Document 1 discloses "a facility management support system for issuing a work order for inspection/maintenance for asset stock and storing the result in a facility information database". The system said, "Health index database that stores asset equipment and its surroundings as a health index, and the health index is the actual equipment status of the asset equipment, and the maintenance expectation estimated from the status at the time of installation or previous inspection/maintenance. Comparison calculation function that determines the difference in asset equipment status by comparing with the effect, work knowledge database that stores veteran work knowledge, and work change points for inspection/maintenance are extracted according to the difference in work knowledge or asset equipment status It has a maintenance process update function that reflects it in the facility information database and a work order issue function that issues work orders for inspection and maintenance” ([Summary]).

JP, 2016-1889088, A

According to the technique disclosed in Patent Document 1, when a plurality of parts forming an electric device are deteriorated, it is not possible to appropriately prioritize maintenance of the electric device. Therefore, there is a need for a technique capable of properly maintaining electrical equipment even when a plurality of parts of the electrical equipment deteriorate. The present disclosure has been made in view of the background as described above, and an object of one aspect is to provide a technique capable of appropriately maintaining an electric device even when a plurality of parts of the electric device are deteriorated. It is in.

A maintenance device according to an embodiment is a device information storage unit for storing device information for each type of maintenance-target electric device, an inspection information storage unit for storing an inspection record of the maintenance-target electric device, A deterioration progress degree storage unit that stores the deterioration progress degree of each of a plurality of components that form the electrical device that is the maintenance target, and a calculation unit that calculates the device soundness of the electrical device that is the maintenance target. The computing unit calculates the degree of deterioration progress of each of the plurality of components forming the maintenance target electric device based on the device information and the inspection record, and calculates the deterioration progress of each of the plurality of components forming the maintenance target electric device. Based on the degree, the equipment health of the electrical equipment to be maintained is calculated.

According to the present technology, it is possible to properly maintain an electric device even when a plurality of items of deterioration occur in the electric device and each part of the electric device.

The above as well as other objects, features, aspects and advantages of the present invention will become apparent from the following detailed description of the invention which is understood in connection with the accompanying drawings.

FIG. 3 is a diagram showing an example of a system configuration according to the first embodiment. FIG. 3 is a diagram showing an example of a configuration of a maintenance device 100 according to the first embodiment. 3 is a diagram showing an example of a functional block configuration of the maintenance device 100. FIG. It is a figure which shows an example of a structure of the equipment master 301. It is a figure which shows an example of a structure of the inspection record 302. It is a figure which shows an example of a structure of the sensor record 303. It is a figure which shows an example of a structure of the deterioration progress flow information 305. It is a figure which shows an example of a structure of the statistical information 306. It is a figure which shows an example of a structure of the score table 309 of a site|part. It is a figure which shows an example of a structure of the score table 310 of a device. FIG. 6 is a diagram showing an example of a flowchart of processing of the maintenance device 100 according to the first embodiment. It is a figure which shows an example of the importance in the installation place of an electric equipment. It is a figure which shows an example of the deterioration progress degree of an electric equipment, and the matrix 1300 of an importance degree. It is a figure which shows an example of the importance table 1400 which manages the installation location and importance of an electric equipment. It is a figure which shows an example of the output result 1500 of the maintenance priority of an electric equipment. FIG. 9 is a diagram showing an example of a flowchart of processing of the maintenance device 100 according to the second embodiment.

Hereinafter, embodiments of the technical idea 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 also the same. Therefore, detailed description thereof will not be repeated.

Embodiment 1.
<A. About the system including the maintenance device>
FIG. 1 is a diagram showing an example of a system configuration according to the first embodiment. A system configuration according to the present embodiment will be described with reference to FIG. The system of FIG. 1 includes a maintenance device 100, a facility 101A, a facility 101B, an electric device 102A, an electric device 102B, an electric device 102C, an electric device 102D, a communication terminal 103, and a management center 104. The management center 104 may be an external facility that uses the system of FIG. Further, the number of facilities and electric devices in FIG. 1 is an example, and the system configuration according to the present embodiment is not limited to the example in this figure.

The maintenance device 100 maintains and manages a plurality of electric devices. The maintenance device 100 acquires, from the communication terminal 103 in each facility, inspection information and the like of the electric equipment in the facility. Alternatively, the maintenance device 100 may collect the inspection information from the electric device via the network. The equipment 101A and the equipment 101B correspond to, for example, a substation facility of a power company. Each facility is equipped with a large number of electric devices. These electric devices need to be maintained normally by replacement or repair, regularly or irregularly.

The electric devices 102A, 102B, 102C, and 102D are, for example, oil-filled transformers. These electric devices are composed of many parts such as windings, lead wires, insulating oil, iron cores and bushings. In addition, there are various problems caused by the types of these parts and the deterioration of each part. Therefore, it is not easy for the worker to judge whether or not the electric equipment should be really protected.

The communication terminal 103 receives the input of the inspection result of the electric device by the worker in the facility 101A. Then, the communication terminal 103 transmits the input inspection result to the security device 100. In the example of FIG. 1, the electric device 102A and the electric device 102B cannot send status information to the security device 100 via the network. In such a case, the communication terminal 103 receives the inspection result input by the worker and transmits the inspection data to the maintenance device 100. On the other hand, the electric device 102C and the electric device 102D can send status information to the security device 100 via the network. In such a case, the electric device 102C and the electric device 102D directly send the state information to the security device 100 without using the communication terminal 103.

The electric device may transmit some information to the security device 100 without passing through the communication terminal 103, and the communication terminal 103 may transmit the remaining information to the security device 100. If the maintenance device 100 is on the premises of the facility, the maintenance device 100 may directly accept the input of the inspection content from the worker. The management center 104 is connected to the security device 100 via a network. The management center 104 maintains each facility based on the maintenance information provided by the maintenance device 100.

<B. Hardware configuration of security device>
FIG. 2 is a diagram showing an example of a configuration of the maintenance device 100 according to the first embodiment. Referring to FIG. 2, the maintenance device 100 includes a CPU (Central Processing Unit) 201, a primary storage device 202, a secondary storage device 203, an external device interface 204, an input interface 205, and an output interface 206. , A communication interface 207.

The CPU 201 processes programs and data that operate on the security device 100. The primary storage device stores programs executed by the CPU 201 and referenced data. In one aspect, a DRAM (Dynamic Random Access Memory) is used as a primary storage device.

The secondary storage device 203 stores programs and data for a long period of time. Since the secondary storage device is generally slower than the primary storage device, the data directly used by the CPU 201 is arranged in the primary storage device, and the other data is arranged in the secondary storage device. .. In one aspect, a non-volatile storage device such as an HDD (Hard Disk Drive) or SSD (Solid State Drive) is used as a secondary storage device.

The external equipment interface 204 is used, for example, when connecting an auxiliary device to the security device 100. Generally, a USB (Universal Serial Bus) interface is often used as the external device interface 204. The input interface 205 is used to connect a keyboard, a mouse and the like. A USB interface may be used as the input interface 205.

The output interface 206 is used to connect an output device such as a display. In one aspect, HDMI (registered trademark) (High-Definition Multimedia Interface) or DVI (Digital Visual Interface) is used as the output interface 206 as the output interface 206. Alternatively, when the security device 100 is a server machine, the security device 100 may include a serial interface for communicating with an external terminal.

The communication interface 207 is used to communicate with an external communication device. In an aspect, a LAN (Local Area Network) port, a Wi-Fi (Wireless Fidelity) transmitting/receiving device, or the like is used as the output interface 206. In one aspect, the security device 100 may be a PC (Personal Computer), a workstation, or a virtual machine provided on a cloud of a data center.

<C. Functions of the maintenance device>
FIG. 3 is a diagram showing an example of a functional block configuration of the maintenance device 100. Each functional block illustrated in FIG. 3 may be executed or referred to as a program and data on the hardware configuration of FIG. Referring to FIG. 3, the maintenance device 100 includes a device master 301, an inspection record 302, a sensor record 303, a state update processing unit 304, deterioration progress flow information 305, statistical information 306, and a statistical processing unit 307. A score calculation unit 308, a part score table 309, a device score table 310, a countermeasure record 311, threshold information 312, and a result output unit 313.

The device master 301 stores “information about electric devices” such as identification numbers and model numbers of electric devices to be maintained, which are installed in each facility such as a substation. The inspection record 302 stores the contents of the inspection inspection performed by the worker or the work robot, and “information regarding inspection” such as the date and time of the inspection inspection. The sensor record 303 stores information obtained from a sensor installed in the electric device, that is, “inspection information by the sensor”. In one aspect, the device master 301, the inspection record 302, and the sensor record 303 may be tables of a relational database, or may be stored in the secondary storage device 203 of the security device 100.

The state update processing unit 304 refers to the device master 301, the inspection record 302, and the sensor record 303 to periodically generate the deterioration progress flow information 305. The detailed operation of the state update processing unit 304 will be described later. In an aspect, the state update processing unit 304 may be realized by the CPU 201 executing a program read from the secondary storage device 203 to the primary storage device 202.

The deterioration progress flow information 305 manages the deterioration progress process of each part of the electrical device to be maintained, the defect that occurred in that process, and the direct deterioration phenomenon observed together with the defect. The statistical information 306 relates to the “relationship between failure and failure rate” estimated from the accumulation of past deterioration progress flow information 305, inspection contents, and combinations thereof.

In one aspect, the deterioration progress flow information 305 and the statistical information 306 may be tables of a relational database or may be stored in the secondary storage device 203 of the maintenance device 100. In some aspects, the deterioration progress flow information 305 may be a data group in NoSQL (Not only SQL) format.

The statistical processing unit 307 periodically generates the statistical information 306 from the deterioration progress flow information 305. In an aspect, the statistical processing unit 307 may automatically generate the statistical information 306 from the deterioration progress flow information 305 using machine learning. Further, in a certain aspect, the statistical processing unit 307 may be realized by the CPU 201 executing a program read from the secondary storage device 203 to the primary storage device 202.

The score calculation unit 308 refers to the deterioration progress flow information 305 and generates a score table 309 of the part. The score calculation unit 308 also refers to the statistical information 306 and the part score table 309 to generate a device score table 310. In an aspect, the score calculation unit 308 may periodically generate the threshold information 312 with reference to the statistical information 306. Further, in a certain aspect, the score calculation unit 308 may be read as a program from the secondary storage device 203 to the primary storage device 202 and executed by the CPU 201.

The part score table 309 is generated from the deterioration progress flow information 305 and represents the degree of soundness of each part. The part score table 309 is calculated for each part of the electrical device to be protected. The part score table 309 is a parameter indicating the degree of soundness of a single part of an electric device or the degree of deterioration. The device score table 310 is generated from the statistical information 306 and the part score table 309. The device score table 310 is a parameter indicating the soundness of the entire electric device or the degree of deterioration.

The countermeasure record 311 is a record of past countermeasure methods associated with the defect. The threshold information 312 stores thresholds between scores in the part score table 309 and the device score table 310. The scores stored in each of the part score table 309 and the device score table 310 are evaluated for each section divided by the threshold value stored in the threshold value information 312. In a certain aspect, the countermeasure record 311 may be input or set with predetermined information, or may be updated at any time. Further, in a certain aspect, the threshold value information 312 may be input or set with a predetermined value, or may be updated at any time.

In a certain aspect, the part score table 309, the device score table 310, the countermeasure record 311, and the threshold information 312 may be tables in a relational database, and the secondary storage device 203 of the security device 100. May be stored in.

The result output unit 313 refers to the device score table 310, the countermeasure record 311, and the threshold information 312. Then, the result output unit 313 displays the soundness of each electric device and the countermeasures to the user who performs maintenance management of the electric device. In one aspect, the result output unit 313 may display the result on an external device such as a display, or may transmit the output result to another device via a network.

<D. Details of various information>
FIG. 4 is a diagram showing an example of the configuration of the device master 301. Referring to FIG. 4, the device master 301 includes a device number 401, a device model number 402, a manufacturer 403, an installation date/time 404, an installation place 405, a maintenance cost 406, a construction period 407, and a device specification 408. including. The device number 401 is a unique identifier assigned to the electrical device to be protected. The device number 401 is mainly used for association with other tables such as the inspection record 302 and the sensor record 303.

The device model number 402 is a manufacturing model number assigned to an electric device by the manufacturer. The maker 403 is the name of the maker that manufactured the electric device. The characteristics of the electric device regarding the component parts and deterioration progress differ depending on the manufacturer and the manufacturing model number. In a certain aspect, the device model number 402 and the manufacturer 403 may be used for associating with the product specifications, manufacturer information, and the like in another table.

The installation date and time 404 represents the date and time when the electric device was installed. It is used together with the information in the inspection record 302 and the sensor record 303 to create the deterioration progress flow information 305. The installation date/time 404 may be used as the start date/time of the deterioration progress flow information 305.

The installation location 405 represents the location where the electric device is installed. The installation place 405 may be an address, an identification name of a facility such as a substation, or may include a plurality of pieces of information such as an address and a facility name. The installation location 405 is used when the result output unit 313 presents information to the user. In some aspects, the installation location 405 may include latitude and longitude information. In addition, the result output unit 313 may provide the user with information associated with the map application based on the installation location 405.

The maintenance cost 406 represents a cost required to maintain the electric device specified by the device number 401. In one aspect, the maintenance cost 406 may include the amount of money required for the maintenance of the electric device, may include resource information such as the number of months and materials required for the maintenance of the electric device, or both the amount of money and the resource information. May be included.

The construction period 407 represents a construction period for repairing or replacing the electric device specified by the device number 401. In one aspect, the construction period 407 may include a lead time of a member required for replacement and repair, may include a time required for replacement and repair by an on-site worker, or a lead time of the member and It may include both time spent for replacement and repair by field workers. Further, in an aspect, the maintenance cost 406 and the construction period 407 may be used when the result output unit 313 generates the information presented to the user.

The device specification 408 includes detailed information of the electric device specified by the device number 401. In an aspect, the device specification 408 may be used by the result output unit 313 when generating the information presented to the user. The result output unit 313 may combine the countermeasure record 311 and the device specifications 408 to present the user with the optimal countermeasure for the electric device.

In one aspect, the device master 301 may be a table or view created by JOINing a plurality of tables using SQL. For example, the device master 301 holds only an identifier for identifying each item for a large amount of information such as the manufacturer 403, the maintenance cost 406, and the device specification 408, and refers to other table information as necessary. Is also good. Further, the device master 301 can acquire not only the information disclosed in FIG. 4 but also information related to each column by JOIN using SQL. Further, in a certain aspect, the device master 301 may have device information previously input, or the contents may be updated at any time.

FIG. 5 is a diagram showing an example of the configuration of the inspection record 302. With reference to FIG. 5, the inspection record 302 includes an inspection number 501, an inspection device 502, an implementation date 503, a person in charge 504, and an inspection result 505. The inspection record 302 may be an inspection result of an electric device by a worker or a robot.

The inspection number 501 is a unique identifier assigned to the inspection work. The inspection device 502 corresponds to the device number 401 of the device master 301. The inspection device 502 is used to search the device master 301 when it is desired to obtain detailed information of the inspected electric device. The implementation date 503 represents the date when the worker, the robot, or the like inspects the electric device. The implementation date 503 may be used by the state update processing unit 304 to generate the deterioration progress flow information 305.

The person in charge 504 is information regarding the name, company, department, contact information, etc. of the person in charge of inspecting the electric device. The inspection result 505 represents the result of inspection of electric equipment by a worker or a robot. The columns of the person in charge 504 and the inspection result 505 may include a plurality of pieces of information. For example, the responsible person 504 may include multiple pieces of information such as “responsible person name”, “company to which the responsible person belongs”, and “contact person's contact information”.

In one aspect, the inspection record 302 may be a table or view created by JOINing a plurality of tables using SQL. For example, the inspection record 302 may have only an identifier for identifying each item with respect to items having a large amount of information such as the person in charge 504 and the inspection result 505, and may refer to other table information as necessary. Further, the inspection record 302 can acquire not only the information disclosed in FIG. 5 but also information related to each column by JOIN using SQL. Further, in a certain aspect, the inspection record 302 may regularly receive the input of the inspection result of the electric device by the worker or the robot.

FIG. 6 is a diagram showing an example of the configuration of the sensor record 303. Referring to FIG. 6, the sensor record 303 includes a sensor number 601, an inspection device 602, a time stamp 603, and a sensing result 604. The sensor record 303 may be obtained by periodically acquiring the sensing result of the sensor provided in the electric device.

The sensor number 601 is a unique identifier assigned to a sensor attached to an electric device. The inspection device 602 corresponds to the device number 401 of the device master 301. The inspection device 602 may be used for searching the device master 301 when it is desired to acquire detailed information of the sensed electric device.

The time stamp 603 indicates the date and time when the sensor attached to the electric device senses the electric device. The time stamp 603 is used by the state update processing unit 304 to generate the deterioration progress flow information 305. In one aspect, the time stamp 603 may be generated on the sensor side or may be generated when the security device 100 receives the sensing information.

The sensing result 604 represents the result of the inspection of the electric device by the sensor attached to the electric device. The information included in the sensing result 604 is not necessarily one, and a plurality of inspection items may be included in the sensing result 604. In one aspect, the sensor record 303 may be a table or view created by JOINing a plurality of tables using SQL. For example, the sensor record 303 may have only an identifier for identifying each item regarding an item having a large amount of information such as the sensing result 604, and may refer to other table information as necessary. Further, the sensor record 303 can acquire not only the information disclosed in FIG. 6 but also information related to each column by JOIN using SQL.

FIG. 7 is a diagram showing an example of the configuration of the deterioration progress flow information 305. The deterioration progress flow information 305 manages a process of deterioration progress of each part of the electrical device to be maintained, a defect occurring in the process, and a direct deterioration phenomenon observed together with the defect in time series. The deterioration progress flow information 305 is used directly or indirectly to generate the part score table 309 and the device score table 310.

With reference to FIG. 7, the deterioration progress flow information 305 includes a part 701, metadata 702A and metadata 702B (hereinafter collectively referred to as “metadata 702”), a progress flow 703, an event 704, and monitoring. And item 705. Note that, hereinafter, the site 701A and the site 701B will be collectively referred to as the site 701. The event 704A to the event 704D are collectively referred to as the event 704. Further, the monitoring items 705A to 705D are collectively referred to as the monitoring item 705.

A part 701 represents a part that constitutes an electric device. The part 701 does not necessarily need to include all the parts which comprise an electric equipment. The part 701 may include a part having a high possibility of failure or a part having a great influence at the time of failure. Which part the part 701 includes is a design matter and can be appropriately selected by those skilled in the art. In an aspect, the part 701 may include a winding wire, a lead wire, insulating oil, an iron core, a bushing, and the like.

The part 701 also includes metadata 702 for associating the device master 301 with the part 701. For example, the part 701A includes metadata 702A, and the part 701B includes metadata 702B. Further, the metadata 702 includes at least the device number 401.

The progress flow 703 manages the progress of deterioration of the part 701 in time series. The progress flow 703 includes an event 704 and a monitoring item 705 attached to the event 704 in time series. The combination of the part 701 and the progress flow 703 is generated for each predetermined part of all the electrical devices to be maintained. In an aspect, it is assumed that the number of maintenance target electric devices is 1000 and the number of maintenance target parts of each electric device is 50. In that case, there are 50,000 combinations of the part 701 and the progress flow 703.

The event 704 is a “defect” associated with each part. These events 704 are arranged in time series in the progress flow 703, and the route may branch. Which event 704 and in what order and combination occur in which part may be created based on prior data, or may be automatically created from the inspection record 302 and the sensor record 303. ..

The monitoring item 705 is a direct “degradation phenomenon” that occurs accompanying the event 704 associated with each part. For example, "insulation deterioration" of event 704B and "decomposition gas generation" of event 704C occur on the time series of the "winding" of the part 701A. Then, accompanying each event 704, a “load factor increase” of the monitoring item 705A, a “polymerization degree decrease” of the monitoring item 705B, and a “gas increase in oil” of the monitoring item 705C occur.

The event 704 is a “defective” of each part confirmed by inspection or sensing of the electric device, whereas the monitoring item 705 is a “degradation phenomenon which is a direct monitoring item” estimated from each “defective”. Become. The monitoring item 705 is used to calculate the failure rate of the electric device. In addition, the same monitoring item 705 may occur in association with a plurality of different events 704. Therefore, the maintenance device 100 comprehensively evaluates the monitoring items 705 generated at each event 704 of the deterioration progress flow information 305 in order to accurately grasp the state of the electric device.

For example, when the progress of the “winding” progress flow 703 of the part 701A is up to the “insulator deterioration” of the event 704B, the “increase in gas in oil” of the monitoring item 705C may not occur. However, when the progress of the “insulating oil” progress flow 703 of the part 701B has proceeded to the “decomposition gas generation” of the event 704D, it means that the “increase of gas in oil” of the monitoring item 705D has occurred.

As described above, the maintenance device 100 can appropriately determine the normality of the electric device by comprehensively determining the progress flow 703 of each part of the electric device. Note that the event 704 and the monitoring item 705 do not necessarily have to be one-to-one, and one event 704 may be accompanied by a plurality of monitoring items 705.

FIG. 8 is a diagram showing an example of the configuration of the statistical information 306. With reference to FIG. 8, the statistical information 306 includes a monitoring item 801 and a failure probability 802. The monitoring item 801 includes the same item as the monitoring item 705 included in the deterioration progress flow information 305. The failure probability 802 represents the rate of failure of the electric device when the monitoring item 801 occurs in the electric device.

The statistical information 306 is created based on the data obtained in the past repair and replacement. In addition, when a certain amount of data or more is collected, the statistical processing unit 307 may periodically update the statistical information 306 using machine learning. Further, in a certain aspect, the maintenance device 100 may use the deterioration progress flow information 305 and the repair/replacement result input by the user when updating the statistical information 306 using machine learning. The statistical information 306 is used by the score calculation unit 308 for calculation of a score table 309 of a site and a score table 310 of the device, which will be described later.

FIG. 9 is a diagram showing an example of the configuration of the part score table 309. Referring to FIG. 9, part score table 309 includes a part number 901, a part state 902, and a part score 903. The part score table 309 is created and updated by the score calculation unit 308. The part number 901 is a unique identifier of each part, and can uniquely identify the part 701 of the deterioration progress flow information 305.

The part state 902 represents the soundness of each part, and the larger the number, the more normal. The score calculation unit 308 refers to the progress flow 703 of the part 701 in the deterioration progress flow information 305. The score calculation unit 308 calculates the score (site score 903) for each site from the monitoring items 705 generated in the referenced site 701. In an aspect, the score calculation unit 308 may calculate the score 903 of the part by multiplying the weighting coefficient for each monitoring item 705, or use the deterioration progress flow information 305 as input data for learning and use machine learning. The part score 903 may be calculated.

Further, the score calculation unit 308 refers to the threshold value information 312, classifies the calculated site scores 903 into levels, and obtains a site state 902. In the example of FIG. 9, the score calculation unit 308 uses the “site score 903=1 to 2” for the “site status 902=LV1” and the “site score 903=3-4” for the “site status 902=LV2”. , "Site score 903=5-6", "site status 902=LV3", "site score 903=7-8", "site status 902=LV4", and "site score 903=" The level is divided so that "part state 902=LV5" in "9-10". The part number 901 of the part, the state 902 of the part, and the score 903 of the part of FIG. 9 are merely examples, and the contents are not limited to the contents of FIG. 9. The state 902 of the part and the score 903 of the part may be classified in more detail, or may be expressed using a score, a symbol, or the like.

The part score 903 is a score set for each LV of the part state 902. For example, when the state 902 of the part=“LV5”, the score 903 of the part=“10”. When the state 902 of the part=“LV1”, the score 903 of the part=“2”. The part score 903 is used when the device score table 310 is generated. In a certain aspect, the score 903 of the part may be a value determined in advance or a value determined by machine learning based on the deterioration progress flow information 305 and the statistical information 306.

FIG. 10 is a diagram showing an example of the configuration of the device score table 310. Referring to FIG. 10, the device score table 310 includes a device number 1001, a device state 1002, and a device score 1003. The device number 1001 is a unique identifier of each device and corresponds to the device number of the device master 301. The device number 1001 is used when referring to the record of the device master 301.

The device state 1002 represents the soundness of each device, and the larger the number, the more normal. The device score 1003 is a score range set for each LV of the device state 1002. For example, the score calculation unit 308 refers to the threshold value information 312, calculates the soundness of the electric device, and when the calculation result is in the range of “5.1 to 6.0”, the device state 1002 is set to “LV5”. Set to. Further, the score calculation unit 308 calculates the soundness of the electric device, and when the calculation result is in the range of “0 to 1.7”, sets the device state 1002 to “LV1”.

The device score 1003 is calculated by the sum of multiplications of the “site score 903” and the “failure probability 802” of the electric device. The calculation example 1004 of FIG. 9 will be described below as an example. The electric device A includes a “site X”, a “site Y”, and a “site Z” in which some trouble has occurred.

In the “site X”, the state 902 of the site is “10(LV5)”. The monitoring item 801 that has occurred is “increase in gas in oil”, and the corresponding failure probability 802 is “0.4 (40%)”. In addition, in the “region Y”, the state 902 of the region is “10(LV5)”. The monitoring item 801 that has occurred is "increase in water content", and the corresponding failure probability 802 is "0.15 (15%)". In addition, in the “region Z”, the state 902 of the region is “10(LV5)”. The monitoring item 801 that has occurred is "polymerization degree decrease", and the corresponding failure probability 802 is "0.05 (5%)". Therefore, the score of the electric device A=“10*0.4”+“10*0.15”+“10*0.05”=6.0. When the device score 1003 is “6.0”, the device state 1002 is “LV5”. Therefore, it can be seen that the electric device A whose device number 1001 is “0001” is sound.

Similarly, the calculation example 1005 of FIG. 9 will be described. The score of electric device B=“10*0.4”+“2*0.15”+“2*0.05”=4.4. When the device score 1003 is “4.4”, the device state 1002 is “LV4”. Therefore, it can be seen that the electric device B having the device number 1001 of “0002” is slightly deteriorated.

Similarly, the calculation example 1006 of FIG. 9 will be described. The score of the electric device C=“2*0.4”+“10*0.15”+“10*0.05”=2.8. When the device score 1003 is “2.8”, the device state 1002 is “LV2”. Therefore, it can be seen that the electric device C having the device number 1001 of “0003” is considerably deteriorated.

<E. Details of internal processing of the maintenance device 100>
FIG. 11 is a flowchart showing an example of processing of security device 100 according to the first embodiment. With reference to FIG. 11, a procedure in which the maintenance device 100 calculates the soundness of the electric device and the maintenance priority will be described. In one aspect, the program corresponding to the flow of FIG. 11 may be read from the secondary storage device 203 of the security device 100 of FIG. 2 to the primary storage device 202 and executed by the CPU 201. Hereinafter, each step will be described in a procedure in which the CPU 201 executes the program corresponding to the flow of FIG. 11.

In step S1105, the CPU 201 refers to the device master 301, the inspection record 302, and the sensor record 303 to generate the deterioration progress flow information 305. In the example of FIG. 7, a part 701 and an event 704 corresponding to the part 701 are generated.

In step S1110, the CPU 101 calculates the monitoring item parameter of each deteriorated component. The process of step S1105 corresponds to the process of obtaining which event 704 the monitoring item 705 in FIG. 7 is associated with.

In step S1115, the CPU 201 acquires the failure rate from the monitoring item parameter of each component. The process of step S1115 corresponds to the process of obtaining the statistical information 306 by the statistical processing unit 307 in FIG. Note that the CPU 201 may individually execute the process of step S1115 instead of executing the process in the flow of FIG.

In step S1120, the CPU 201 calculates the score of each component. The process of step S1120 corresponds to the process of obtaining the part state 902 and the part score 903 in FIG. The CPU 201 refers to the deterioration progress flow information 305 to calculate the state 902 of the part and the score 903 of the part.

In step S1125, the CPU 201 calculates the device score from the component score and the failure probability. The process of step S1125 corresponds to the process of obtaining the device state 1002 and the device score 1003 in FIG. The CPU 201 refers to the part score table 309 and the statistical information 306 to calculate the device state 1002 and the device score 1003.

In step S1130, the CPU 201 determines the maintenance priority order by comparing the soundness levels of all electric devices. The process of step S1130 corresponds to the process of obtaining the maintenance priority order of the electric device specified by the device number 1001 in FIG. When only the soundness of the electric device is used as the determination criterion, the CPU 201 sorts the electric devices based on the device state 1002 or the device score 1003.

In one aspect, the CPU 201 may include the maintenance cost 406 of the device master 301 in the maintenance priority calculation standard when determining the maintenance priority. For example, the CPU 201 can perform processing such as lowering the maintenance cost by lowering the maintenance priority of an electric device having a high maintenance cost 406.

Further, in a certain aspect, the CPU 201 may include the construction period 407 of the device master 301 in the maintenance priority calculation standard when determining the maintenance priority. For example, the CPU 201 can perform processing such as lowering the priority of an electric device having a high construction period 407 to suppress the construction period.

Further, in a certain aspect, the CPU 201 may include both the maintenance cost 406 of the device master 301 and the construction period 407 in the maintenance priority calculation standard when determining the maintenance priority.

Further, in a certain aspect, the CPU 201 may determine the maintenance priority order based on the resource information received via the input interface 205 or the communication interface 207. For example, when the CPU 201 acquires the “maintenance cost and construction period that can be provided by the user”, the CPU 201 selects the list of electrical devices to be conserved so that the “maintenance cost” and the “construction period” are within the range. good.

As described above in detail, according to the maintenance device 100 according to the present embodiment, the state of the electric device can be appropriately grasped by referring to the deterioration progress degree for each part of the electric device. Furthermore, by combining with the past countermeasure records and the like, even an unskilled worker can appropriately prioritize the maintenance plans of electric devices.

Embodiment 2.
The second embodiment will be described below. The maintenance device 100 according to the present embodiment is different from the above-described embodiments in that importance is set and managed for each electric device. The hardware of the maintenance device 100 according to the present embodiment is the same as the hardware configuration of the maintenance device 100 according to the first embodiment. Therefore, the description of the hardware configuration will not be repeated.

<F. Importance of electrical equipment placement>
FIG. 12 is a diagram illustrating an example of the degree of importance at the installation location of the electric device. Security device 100 according to the present embodiment assigns importance to electrical equipment and manages it. The importance of the electric device will be described with reference to FIG. In the example of FIG. 12, a generator and four electric devices are connected by a power line. The electric device A is connected to the first stage as viewed from the generator, and the importance is “High”. Next, the electric devices B and C are connected to the second stage when viewed from the generator, and the importance is “Middle”. Next, the electric device D is connected to the third stage as seen from the generator, and the importance becomes “Low”.

In the present embodiment, the degree of importance of an electric device is determined by how many stages it is from the generator (hereinafter referred to as the “hop count”). However, the determination of the degree of importance of an electric device is not limited to the number of hops from the generator. In one aspect, the criterion for determining the degree of importance of the electric device may be “geographical distance from the generator to the electric device”. Further, in a certain aspect, the criterion for determining the degree of importance of an electric device may be “the number of units affected when an abnormality occurs in the electric device”. Further, in a certain aspect, a plurality of criteria may be combined as the criteria for determining the degree of importance of the electric device.

FIG. 13 is a diagram showing an example of a matrix 1300 of the degree of deterioration progress and the degree of importance of an electric device. With reference to FIG. 13, the relationship between the degree of deterioration progress of an electric device and the degree of importance of the electric device will be described. Security device 100 according to the present embodiment has matrix 1300 of FIG. 13 in addition to the configuration shown in FIG. The maintenance device 100 evaluates the maintenance of the electric device based on the combination of the “state” and the “importance” of the matrix 1300. In the example of FIG. 13, the evaluation of the maintenance of the electric equipment is “R(Red)” (need immediate maintenance), “O(Orange)” (target for preventive maintenance), “Y(Yellow)” (requires enhanced monitoring). ) And “B (Blue)” (permissible range).

The evaluation of the electric device in the state “LV1” is “R (Red)” in any of the cases of importance “Low”, “Middle” and “High”. However, the evaluation of electrical equipment in the state "LV2" is "O(Orange)" in the importance levels "Low" and "Middle", but is "R(Red)" in the importance level "High". Is becoming That is, it can be seen that the maintenance device 100 changes the evaluation performed on the electric device depending on the “importance” even if the maintenance device 100 has the same “state”.

The maintenance device 100 can calculate an appropriate maintenance priority by giving a weight to the evaluation of the electric device according to the “importance”. For example, it is assumed that the states of the electric device M and the electric device N are both “LV2”. If the number of units affected when the electric device M is stopped is “1000” and the number of units affected when the electric device N is stopped is “10”, the maintenance device 100 naturally uses the electric device. It is determined that the maintenance of M should be given priority, and the electric device M should be repaired and replaced at an early stage.

FIG. 14 is a diagram showing an example of an importance table 1400 that manages the installation location and the importance of an electric device. Security device 100 according to the present embodiment has an importance table 1400 of FIG. 14 in addition to the functional blocks of FIG. Referring to FIG. 14, importance table 1400 includes importance number 1401, installation place 1402, and importance 1403. The importance number 1401 is an identifier for uniquely identifying the combination of the installation place 1402 and the importance degree 1403.

The installation location 1402 is the same item as the installation location 405 of the device master 301. The security device 100 refers to the importance level 1403 of the electric device by searching the importance level table 1400 using the installation location 405 of the device master 301 as a search key.

The degree of importance 1403 is the degree of importance of the electric device, and is the same as the degree of importance described in FIGS. 12 to 13. In the example of FIG. 14, the importance 1403 is associated with the installation location 1402. However, in a certain aspect, the degree of importance 1403 may be associated with “latitude/longitude” of an electric device, “number of affected units”, “number of hops from a generator”, or a combination of a plurality of items. Moreover, in a certain aspect, the degree of importance 1403 may be represented by a more detailed score.

FIG. 15 is a diagram showing an example of a maintenance priority output result 1500 of an electric device. Referring to FIG. 15, the maintenance priority output result 1500 includes a device 1501, a matrix rank 1502, a device score 1503, and a priority 1504.

The device 1501 represents an electric device. The device 1501 may be the name of an electric device or the device number 401. The matrix rank 1502 is an evaluation regarding the maintenance of the matrix of FIG. The device score 1503 is the calculation result of the device score in FIG. 10. The priority order 1504 represents the priority order of maintenance. In the example of FIG. 15, the priorities 1504 are sorted first based on the matrix rank 1502 “evaluation for maintenance”. Second, the priority order 1504 is sorted based on the device score 1503.

<G. Details of internal processing of the maintenance device 100>
With reference to FIG. 16, a procedure in which the maintenance device 100 calculates the soundness of an electric device and calculates the maintenance priority will be described. FIG. 16 is a flowchart showing an example of processing of security device 100 according to the second embodiment. The same processes as those shown in the flowchart of FIG. 11 are designated by the same reference numerals. Therefore, the description of the same process will not be repeated.

In one aspect, the program corresponding to the flow of FIG. 16 may be read from the secondary storage device 203 of the security device 100 of FIG. 2 to the primary storage device 202 and executed by the CPU 201. Hereinafter, each step will be described in a procedure in which the CPU 201 executes the program corresponding to the flow of FIG.

In step S1605, the CPU 201 compares the scores 1003 and the importance levels 1403 of all electric devices to determine the maintenance priority order. The process of step S1605 corresponds to the process of obtaining the maintenance priority order of the electric devices in FIG. The CPU 201 generates a matrix rank 1502 from the device status 1002 and the importance 1403. Then, the CPU 201 calculates the maintenance priority of the electric device based on the matrix rank 1502 and the device score 1003.

In one aspect, the CPU 201 may include the maintenance cost 406 of the device master 301 in the maintenance priority calculation standard when determining the maintenance priority. For example, the CPU 201 can perform processing such as lowering the maintenance cost by lowering the maintenance priority of an electric device having a high maintenance cost 406.

Further, in a certain aspect, the CPU 201 may include the construction period 407 of the device master 301 in the maintenance priority calculation standard when determining the maintenance priority. For example, the CPU 201 can perform processing such as lowering the priority of an electric device having a high construction period 407 to suppress the construction period.

Further, in a certain aspect, the CPU 201 may include both the maintenance cost 406 of the device master 301 and the construction period 407 in the maintenance priority calculation standard when determining the maintenance priority.

Further, in a certain aspect, the CPU 201 may determine the maintenance priority order based on the resource information input by the user via the input interface 205 or the communication interface 207. For example, when the CPU 201 acquires the “maintenance cost and construction period that can be provided by the user”, the CPU 201 selects the list of electrical devices to be conserved so that the “maintenance cost” and the “construction period” are within the range. good.

As described above in detail, the maintenance device 100 according to the present embodiment is appropriate by referring to the degree of deterioration progress for each part of the electric device and also referring to the degree of importance set for each electric device. Electrical equipment can be protected based on priority. Furthermore, by combining it with past countermeasure records, even an unskilled worker can appropriately optimize the maintenance plan.

The embodiments disclosed this time are to be considered as illustrative in all points and not restrictive. The scope of the present invention is shown not by the above description but by the scope of claims for patent, and it is intended that all modifications are included within the meaning and scope equivalent to the scope of claims for patent.

100 maintenance device, 101A, 101B equipment, 102A, 102B, 102C, 102D electric device, 103 communication terminal, 104 management center, 202 primary storage device, 203 secondary storage device, 204 external device interface, 205 input interface, 206 output Interface, 207 communication interface, 301 device master, 302 inspection record, 303 sensor record, 304 state update processing unit, 305 deterioration progress flow information, 306 statistical information, 307 statistical processing unit, 308 score calculation unit, 309 part score table, 310 equipment score table, 311 countermeasure record, 312 threshold information, 313 result output section, 401, 1001 equipment number, 402 equipment model number, 403 manufacturer, 404 installation date and time, 405, 1402 installation location, 406 maintenance cost, 407 construction period, 408 Equipment specifications, 501 inspection number, 502,602 Inspection equipment, 503 Implementation date, 504 responsible person, 505 inspection result, 601 sensor number, 603 time stamp, 604 sensing result, 701, 701A, 701B parts, 702, 702A, 702B Metadata, 703 progression flow, 704, 704A, 704B, 704C, 704D events, 705, 705A, 705B, 705C, 705D, 801 defects, 802 failure probability, 901 part number, 902 part state, 903 part score, 1002 State, 1003, 1503 Equipment score, 1004, 1005, 1006 Calculation example, 1300 Matrix, 1400 Importance table, 1401 Importance number, 1403 Importance, 1500 Output result, 1501 Equipment, 1502 Matrix rank, 1504 Priority.

Claims (20)

A device information storage unit for storing device information for each type of electrical device to be maintained,
An inspection information storage unit for storing an inspection record of the electrical device to be maintained,
A deterioration progress degree storage unit that stores a deterioration progress degree of each of a plurality of components that constitute the electrical device to be maintained,
And a calculation unit for calculating the device soundness of the electrical device to be maintained,
The arithmetic unit is
Based on the device information and the inspection record, calculate the degree of deterioration progress of each of the plurality of components constituting the electrical device of the maintenance target,
A maintenance device that calculates the device soundness of the electrical device subject to maintenance based on the degree of progress of deterioration of each of the plurality of components that constitute the electrical device subject to maintenance. The deterioration progress degree includes a defect that occurs in the process of deterioration of each component and a deterioration phenomenon that occurs accompanying the defect as monitoring items,
The maintenance device according to claim 1, wherein the computing unit calculates a component soundness of each of the plurality of components based on the monitoring items included in the deterioration progress degree. Further comprising a failure rate storage unit that stores a correlation between the monitoring item and a failure occurrence rate for each type of electric device,
The calculation unit calculates the device soundness of the maintenance-target electric device based on the correlation and the component soundness of each of the plurality of components configuring the maintenance-target electric device, The security device according to item 2. The maintenance device according to claim 3, wherein the correlation includes learned data including the deterioration progress degree as a learning parameter of machine learning. Further comprising a threshold value storage unit that stores stepwise threshold value information regarding the device soundness of the electrical device to be maintained,
The maintenance device according to claim 3, wherein the calculation unit calculates a maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness and the threshold information. A threshold value storage unit that stores stepwise threshold value information regarding the device soundness of the electrical device to be maintained;
Further comprising an importance degree storage unit that stores importance degree information of the electrical device to be maintained,
The maintenance device according to claim 3, wherein the arithmetic unit calculates a maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness and the threshold information and the importance information. The maintenance device according to claim 6, wherein the importance information is based on a distance from a generator or a hop number of the electric device. The device information storage unit further stores a maintenance cost of the electrical device to be protected,
The maintenance device according to claim 5, wherein the calculation unit calculates the maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness, the threshold information, and the maintenance cost. The device information storage unit further stores a construction period of the electrical device to be maintained,
The maintenance device according to claim 5, wherein the arithmetic unit calculates the maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness, the threshold information, and the construction period. The electrical device to be protected includes or is attached with a sensor,
The security device according to any one of claims 1 to 9, wherein the inspection record includes information from the sensor and patrol inspection information input to the security device. A step of reading out device information for each type of electrical device to be maintained,
Reading out an inspection record of the electrical device to be maintained,
Calculating a degree of deterioration progress of each of a plurality of parts constituting the electrical device to be maintained based on the device information and the inspection record;
Calculating the device soundness of the electrical device to be maintained based on the degree of deterioration progress of each of the plurality of parts constituting the electrical device to be maintained. The deterioration progress degree includes a defect that occurs in the process of deterioration of each component and a deterioration phenomenon that occurs accompanying the defect as monitoring items,
The maintenance method according to claim 11, further comprising a step of calculating a component soundness of each of the plurality of components based on the monitoring items included in the deterioration progress degree. Calculating a correlation between the monitoring item and the failure rate for each type of electric device based on the deterioration progress rate and the failure history;
The method further includes: a step of calculating the device soundness of the maintenance target electric device based on the correlation and the part soundness of each of the plurality of parts configuring the maintenance target electric device. Item 12. The maintenance method according to Item 12. The maintenance method according to claim 13, wherein the correlation includes learned data including the deterioration progress degree as a learning parameter for machine learning. Reading stepwise threshold information regarding the device soundness of the electrical device to be maintained,
The maintenance method according to claim 13, further comprising: calculating a maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness and the threshold information. Reading stepwise threshold information regarding the device soundness of the electrical device to be maintained,
Reading out importance information of the electrical device to be maintained,
The maintenance method according to claim 13, further comprising a step of calculating a maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness and the threshold information and the importance information. The maintenance method according to claim 16, wherein the importance information is based on a distance from a generator or a hop number of the electric device. Reading out the maintenance cost of the electrical equipment to be maintained,
The maintenance method according to claim 15, further comprising a step of calculating the maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness, the threshold information, and the maintenance cost. Reading the construction period of the electrical equipment to be maintained,
The maintenance method according to claim 15, further comprising a step of calculating the maintenance priority of each of the plurality of maintenance-target electric devices based on the device soundness, the threshold information, and the construction period. The maintenance method according to any one of claims 11 to 19, wherein the inspection record includes information from a sensor provided in the electrical device to be protected and patrol inspection information.

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