Partial Discharge Diagnosis Support Device, Diagnosis Support Method, and Program

Abstract

To provide a partial discharge diagnosis support device, a diagnosis support method and a program that can assist an operator in diagnosing a deterioration state of an insulation part.SOLUTION: A partial discharge diagnosis support device has an acquisition part and an output processing part. The acquisition part acquires analysis results by time based upon signal intensity of a partial discharge occurring to an insulation part of electronic equipment housed in a housing. The output processing part displays a table which shows the analysis results acquired by the acquisition part, the table having a plurality of shells of first information representing a first period on a first axis and second information different from the first information on a second axis.SELECTED DRAWING: Figure 10

Description

Technical Field

[0001] Embodiments of the present invention relate to a partial discharge diagnosis support device, a diagnosis support method, and a program.

Background Art

[0002] Conventionally, in electrical equipment such as switchgear, due to deterioration over time, the insulation performance of the surface or internal insulators of the electrical equipment may decrease. When the insulation performance decreases, partial discharge may occur from the location where the insulation performance has decreased. Furthermore, if the decrease in insulation performance progresses, insulation breakdown may occur in the electrical equipment.

[0003] Partial discharge may suddenly stop due to the influence of the surrounding atmosphere, or conversely, may occur concentrated in a short period of time. Also, in actual operation, various environmental noises may be mixed in during measurement. For this reason, it is not easy for the inspection staff to diagnose the deterioration status of the insulation part inside the switchgear from the signal intensity of the partial discharge.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] The problem to be solved by the present invention is to provide a partial discharge diagnosis support device, a diagnosis support method, and a program that can assist the work staff in diagnosing the deterioration status of the insulation part.

Means for Solving the Problems

[0006] The partial discharge diagnosis support device according to the embodiment includes an acquisition unit and an output processing unit. The acquisition unit acquires time-series analysis results based on the signal intensity of partial discharges occurring in the insulation part of the electrical equipment housed in the housing. The output processing unit displays a table representing the analysis results acquired by the acquisition unit, the table having a plurality of cells with first information indicating a first period on a first axis and second information different from the first information on a second axis.

Brief Description of the Drawings

[0007]

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Mode for Carrying Out the Invention

[0008] Hereinafter, a partial discharge diagnostic support device, a diagnostic support method, and a program according to an embodiment will be described with reference to the drawings.

[0009] FIG. 1 is an explanatory diagram showing an example of a partial discharge diagnostic support system 1 according to an embodiment. In FIG. 1, the partial discharge diagnostic support system 1 includes a box 10 and a measuring device 100 arranged at a customer site, and a partial discharge analyzer 110 and a partial discharge diagnostic support device 120 provided at a center (workplace) for diagnosing partial discharge.

[0010] The measuring device 100 and the partial discharge analyzer 110 are communicably connected by the Internet 2. Further, the partial discharge analyzer 110 and the partial discharge diagnostic support device 120 are communicably connected via, for example, a LAN (Local Area Network). Each device is a computer device such as a personal computer or a tablet terminal equipped with a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a communication unit, and the like.

[0011] First, the housing 10 and the measuring device 100 will be described with reference to FIG. 2. FIG. 2 is an explanatory diagram showing an example of the housing 10 and the measuring device 100 of the embodiment. As shown in FIG. 2, examples of the housings 10a, 10b, ···, 10n (n is an integer of 2 or more) are arranged in a row. The housings 10a, 10b, ···, 10n are arranged substantially linearly. In addition, a predetermined power supply system for supplying power to electrical equipment is provided in the housings 10a, 10b, ···, 10n. Hereinafter, when not distinguishing which housing it is, it will be simply described as the housing 10. Each housing 10 is a box capable of accommodating electrical equipment such as a switch gear. The housing 10 houses electrical equipment such as a circuit breaker and a main circuit conductor, respectively. The electrical equipment has an insulating device on its surface or inside. The electrical equipment may generate partial discharge due to deterioration over time or the like. The measuring device 100 measures the signal intensity of the partial discharge generated in the insulating part of the electrical equipment housed in the housing 10.

[0012] On the front surfaces of the housings 10a, 10b, ···, 10n, electrodes 40a, 40b, ···, 40n are fixed so as to be in contact. Hereinafter, when not distinguishing which electrode it is, it will be simply described as the electrode 40. The electrode 40 detects the surface potential of the housing 10. The electrode 40 outputs the detected surface potential to the measuring device 100 as an electrical signal. The electrode 40 may be provided, for example, in a state of being in semi-permanent contact with the housing 10. The electrode 40 may be in a form of being temporarily in contact with the housing 10 only while an operator (inspector) or the like determines the presence or absence of partial discharge from the housing 10. In the configuration shown in FIG. 2, one electrode 40 is provided on the housing 10, but a plurality of electrodes 40 may be provided on one housing 10. By providing a plurality of electrodes 40 on one housing 10, the measuring device 100 can measure the surface potential of the housing 10 with higher accuracy.

[0013] A common ground bus 20 is disposed at the lower part of the box body 10. The ground bus 20 is connected to a ground electrode 30. The box body 10 is composed of a front panel, a ceiling panel, a back panel, a floor panel, and side panels. These front panel, ceiling panel, back panel, floor panel, and side panels are collectively referred to as the constituent plates that make up the box body 10. In the example shown in FIG. 2, the electrode 40 is in contact and fixed to the front panel, but the electrode 40 may be in contact and fixed to any of the other constituent plates. The constituent plates are connected to the ground bus 20.

[0014] Note that in FIG. 2, as a method for measuring the partial discharge signal, a method of measuring the surface potential by the electrode 40 is shown, but it is not limited to the surface potential. For example, the measuring device 100 may measure electromagnetic waves instead of the surface potential. In this case, the measuring device 100 may acquire an electrical signal from an antenna instead of the electrode 40. The antenna measures electromagnetic waves. The antenna outputs an electrical signal to the measuring device 100 based on the measured electromagnetic waves. Also, the measuring device 100 may measure the ground current instead of the surface potential. In this case, the measuring device 100 acquires an electrical signal from a sensor such as a high-frequency CT (Current Transformer) instead of the electrode 40. The sensor measures the ground current. The sensor outputs an electrical signal to the measuring device 100 based on the measured ground current. The measuring device 100 may acquire any physical quantity as long as it is a physical quantity obtained based on the partial discharge of the electrical equipment. The physical quantity is, for example, ground potential, electromagnetic wave, ground line current, vibration, or sound, etc.

[0015] The measuring device 100 measures the partial discharge waveform data of the partial discharge (surface potential) for each electrode 40 (40a to 40n). Hereinafter, the diagnosis of the partial discharge in one electrode 40 will be described. The partial discharge waveform data includes the signal intensity and the applied voltage of the partial discharge. Also, the measuring device 100 transmits the partial discharge waveform data obtained by the measurement to the partial discharge analyzer 110 at a predetermined timing.

[0016] Returning to FIG. 1, the partial discharge analyzer 110 receives partial discharge waveform data from the measuring device 100. The partial discharge analyzer 110 includes an analysis unit 111 that analyzes using the partial discharge waveform data. The analysis unit 111 determines the presence or absence of a defect (abnormality) based on the partial discharge waveform data. Further, when a defect occurs, the analysis unit 111 obtains partial discharge analysis data (analysis result) including defect type (cause of abnormality) and clustering based on the partial discharge waveform data.

[0017] The analysis unit 111 performs various analyses using, for example, AI (artificial intelligence). Here, the analysis unit 111 will be specifically described. The analysis unit 111 includes a feature extraction unit 112, a defect type identification unit 113, and a clustering unit 114.

[0018] The feature extraction unit 112 cuts out the measured waveform for each period of the power supply voltage to generate a plurality of sub-waveforms. At this time, the feature extraction unit 112 cuts out the measured waveform at the zero-crossing timing of the power supply voltage. This is because partial discharge has a characteristic that it occurs according to the phase of the power supply voltage.

[0019] The feature extraction unit 112 extracts the feature quantities of the partial discharge signal based on the plurality of cut-out sub-waveforms. For example, the feature extraction unit 112 extracts the average intensity, variance value, average of the maximum values, average of the minimum values, average number of peaks, etc. of the partial discharge signal.

[0020] The defect type identification unit 113 calculates, for example, the average waveform of the plurality of cut-out sub-waveforms and converts it into a frequency spectrum by performing a fast Fourier transform on this. The defect type identification unit 113 obtains the defect type based on the combination of the spectrum intensity for each frequency and the power supply voltage frequency. The defect type identification unit 113 obtains the defect type using, for example, a learned model obtained by machine learning. Specifically, a learned model learned by the following procedure can be used. As the machine learning model, for example, a neural network model can be used.

[0021] In advance, partial discharge signals are obtained from a device that has been experimentally induced with desired defects. A learning dataset is prepared with the combination of the spectral intensity for each frequency of the partial discharge signal and the power supply voltage frequency as input samples, and a one-hot vector indicating the defect type as output samples. The one-hot vector is an N+1-dimensional vector indicating N defect types and one "no defect", where only one element is 1 and the other elements are 0. Using the above learning dataset, the parameters of the machine learning model are updated so that the value of the output sample is output when the input sample is input, thereby obtaining a trained model. The defect type identification unit 113 inputs the combination of the spectral intensity for each frequency and the power supply voltage frequency into the trained model, and outputs the defect type corresponding to the element with the largest value among the obtained vectors.

[0022] The clustering unit 114 classifies the waveforms into one of a predetermined number of clusters. For example, the clustering unit 114 performs a fast Fourier transform on the average waveform of a plurality of sub-waveforms obtained from all the waveforms to convert it into a frequency spectrum. The clustering unit 114 performs clustering of each waveform based on the combination of the spectral intensity for each frequency of the plurality of average waveforms and the power supply voltage frequency. The number of clusters is preset by a designer or the like. The clustering is performed, for example, by the k-means method. Note that the clustering unit 114 may perform clustering processing using a plurality of waveforms in advance to identify the cluster boundaries, and classify the average waveform into one of the plurality of clusters based on the boundaries.

[0023] The other system DB 117 stores various information in the workplace. The various information includes information about each device set in the workplace, information about employees, and the like.

[0024] The partial discharge diagnosis support device 120 includes a storage unit 121, an acquisition unit 131, a display processing unit 132, an output unit 133, an input unit 134, and a notification unit 135. The storage unit 121 includes a partial discharge waveform data storage unit 122, a partial discharge analysis data storage unit 123, and a related information storage unit 124. Note that the display processing unit 132 is an example of an output processing unit.

[0025] The partial discharge waveform data storage unit 122 stores the partial discharge waveform data output from the partial discharge analyzer 110. The partial discharge analysis data storage unit 123 stores the partial discharge analysis data analyzed by the analysis unit 111.

[0026] The related information storage unit 124 stores related information among the information stored in the other system DB 117. The related information includes information on conditions that promote partial discharge. The information on the conditions is, for example, weather-related information regarding the weather.

[0027] Also, the related information includes information indicating a plurality of factors related to the occurrence of partial discharge. The information indicating the plurality of factors is, for example, the following information. · Peripheral device information: Information regarding the operation of peripheral devices arranged around the electrical equipment. · Workplace information: Information regarding the operation of the workplace where the electrical equipment is arranged. · Employee information: Information regarding the work of employees at the workplace. · Railway information: Information regarding the operation of railways passing near the workplace.

[0028] The acquisition unit 131 acquires the partial discharge analysis data (analysis result) stored in the partial discharge analysis data storage unit 123. The partial discharge analysis data is the analysis result by time based on the signal intensity of the partial discharge generated in the insulation part of the electrical equipment housed in the box body 10. Note that the partial discharge diagnosis support device 120 may obtain the analysis result by acquiring the partial discharge waveform data and analyzing the partial discharge waveform data. The display processing unit 132 displays a table (hereinafter referred to as the "two-axis correspondence table") based on the partial discharge analysis data acquired by the acquisition unit 131. The correspondence table represents the first information indicating the first period on the first axis and the second information different from the first information on the second axis. The two-axis correspondence table has cells.

[0029] The output unit 133 causes the display 307 (see FIG. 3) to output the display data of the two-axis correspondence table. The display 307 displays the display data output from the output unit 133.

[0030] (Regarding the specific example of the two-axis correspondence table) In the two-axis correspondence table, the second information is the information indicating the second period that divides the first period. The two-axis correspondence table is represented with the first period on the first axis and the second period on the second axis. Also, the display processing unit 132 displays the analysis result in the cells of the two-axis correspondence table.

[0031] Also, the first period is, for example, a period based on days. In the present embodiment, the first period is one day. Also, the second period is, for example, a period based on time zones. In the present embodiment, the second period is two hours.

[0032] (Regarding weather conditions) Partial discharge is likely to be promoted under the first condition. The first condition is, for example, a condition related to weather, specifically, conditions related to weather, humidity, atmospheric pressure, temperature, sunshine duration, etc. More specifically, for example, the first condition is a condition that the humidity is equal to or higher than a predetermined value (for example, 80%). The input unit 134 (an example of the first selection unit) receives a selection of a condition related to weather (the first condition) from an operator (working staff) via the input device 306 (see FIG. 3). The display processing unit 132 displays, in a manner different from other cells, the cells in the period (time zone) that satisfies the first condition among the plurality of cells according to the selection of the operator (see FIG. 13). For example, the display processing unit 132 displays the cells in the period that satisfies the first condition so as to suggest that partial discharge is about to start.

[0033] (Regarding the display of defect types) In the present embodiment, the analysis result includes a plurality of factors (hereinafter referred to as "defect types") in which partial discharge has occurred. There are, for example, seven types of defect types. The display processing unit 132 displays the defect types in the cells of the two-axis correspondence table. That is, the display processing unit 132 displays the defect types in the cells corresponding to each time zone of each day (see FIG. 10).

[0034] (Regarding the display of signal strength) In addition, the acquisition unit 131 acquires partial discharge waveform data from the partial discharge waveform data storage unit 122. The partial discharge waveform data includes the signal strength of the partial discharge. The input unit 134 receives an input related to display switching from the operator via the input device 306. The display processing unit 132 displays the defect types and the signal strength in the cells of the two-axis correspondence table in a switchable manner according to the selection of the operator (see FIG. 11).

[0035] (Regarding the conditions under which defect types are likely to occur) In addition, each of the plurality of defect types is likely to occur under the second condition. The second condition is a condition related to the generation of noise signals and includes, for example, the following conditions. · Conditions related to the operating status of peripheral devices arranged around the electrical equipment. · Conditions related to the operating status of the workplace where the electrical equipment is located. · Conditions related to the working status of employees at the workplace. · Conditions related to the operation status of the railway passing near the workplace.

[0036] The input unit 134 (an example of the second selection unit) receives the second condition from the operator. The display processing unit 132 displays the squares during the period that satisfies the second condition (for example, the condition with a railway) in a manner different from other squares according to the operator's selection (see FIG. 12). For example, the display processing unit 132 displays the squares during the period that satisfies the second condition (for example, the condition with a railway) in a manner (excluding manner) indicating that they do not correspond to the defect type (the defect type that is likely to occur when there is a railway). Note that the number of conditions received by the input unit 134 from the operator may be one or a plurality.

[0037] (Regarding the aggregation of defect types) The display processing unit 132 displays the aggregation results obtained by aggregating the analysis results displayed in the squares of the two-axis correspondence table respectively. For example, the display processing unit 132 displays the aggregation results according to the conditions received from the operator. For example, under the conditions where a defect type is likely to occur (for example, under the condition that the peripheral equipment is operating), the display processing unit 132 displays the aggregation result excluding the occurrence of the defect type. Also, under the conditions where partial discharge is likely to occur (under the condition that the humidity is 80% or more), the display processing unit 132 displays the aggregation result emphasizing the occurrence of the defect type (suggesting that the partial discharge is about to start).

[0038] (Regarding the notification of defect types) The notification unit 135 performs notification regarding the cause (defect type) of the occurrence of partial discharge based on the aggregation results displayed by the display processing unit 132. For example, the notification unit 135 notifies the defect type that is most likely to occur among a plurality of types of defect types. Note that the notification unit 135 performs the notification according to the on / off setting of the notification function.

[0039] (Regarding the detailed display of various data) The reception unit, which is the input device 306 (see Figure 3), receives the selection of one cell from among the cells displayed in the correspondence table. The input unit 134 inputs the information of the cell received by the input device 306. The display processing unit 132 displays the details of the analysis result corresponding to the cell input to the input unit 134 (see Figure 15).

[0040] (Hardware Configuration of the Partial Discharge Diagnosis Support Device 120) Figure 3 is an explanatory diagram showing an example of the hardware configuration of the partial discharge diagnosis support device 120 according to the embodiment. In Figure 3, the partial discharge diagnosis support device 120 includes a CPU 301, a ROM 302, a RAM 303, a memory 304, a communication I / F 305, an input device 306, and a display 307. Each unit is connected by a bus 320 respectively.

[0041] The CPU 301 controls the overall operation of the partial discharge diagnosis support device 120. The ROM 302 stores various programs. The RAM 303 is used as the work area of the CPU 301. That is, the CPU 301 controls the overall operation of the partial discharge diagnosis support device 120 by executing various programs recorded in the ROM 302 while using the RAM 303 as the work area.

[0042] The memory 304 stores various data. For the memory, non-volatile recording media (non-temporary recording media) such as flash memory and HDD (Hard Disk Drive) are used, for example. The memory 304 stores various programs such as the partial discharge diagnosis support program.

[0043] The communication I / F 305 manages the interface between the network and the interior, controlling the input of data from external devices and the output of data to external devices. Specifically, the communication I / F 305 is an interface connected to the partial discharge analyzer 110 through a communication line. The communication I / F 305 is connected to a network such as the Internet. Also, the communication I / F 305 may be an interface for wireless communication such as a mobile phone line (e.g., LTE (Long Term Evolution), PHS (Personal Handy-Phone System), etc.), Bluetooth (registered trademark), etc., or may adopt an interface for wired communication such as a modem or a LAN adapter.

[0044] The input device 306 is a touch panel that displays a plurality of touch keys for input such as characters, numerical values, and various instructions, hard keys, etc. Also, the input device 306 includes a microphone. The display 307 is a display device that displays images. The display 307 may be of the touch panel type. Note that the partial discharge diagnosis support device 120 may be provided with a speaker.

[0045] As shown in FIG. 1, the storage unit 121 is realized by the memory 304. Also, the acquisition unit 131, the display processing unit 132, the output unit 133, the input unit 134, and the notification unit 135 are realized by the CPU 301. That is, the functions of each unit are realized by the CPU 301 executing the partial discharge diagnosis support program stored in the memory 304. Note that some or all of the acquisition unit 131, the display processing unit 132, the output unit 133, the input unit 134, and the notification unit 135 may be realized using a custom LSI (Large Scale Integrated Circuit) such as an ASIC (Application Specific Integrated Circuit) or a PLD (Programmable Logic Device). Examples of PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate Array). Such integrated circuits are also included as an example of a processor.

[0046] (Example of partial discharge waveform data) FIG. 4 is an explanatory diagram showing an example of the partial discharge waveform data 400 stored in the partial discharge waveform data storage unit 122 of the embodiment. In FIG. 4, the partial discharge waveform data 400 includes a date and time 401 and a waveform 402. The date and time 401 indicates a two-hour interval. The waveform 402 indicates waveform data for each time zone. The waveform 402 is, for example, an average of the waveform data for each time zone. The waveform 402 includes an applied voltage waveform 411 indicating the waveform of the applied voltage and a signal intensity waveform 412 indicating the waveform of the signal intensity.

[0047] (Example of partial discharge analysis data) FIG. 5 is an explanatory diagram showing an example of partial discharge analysis data 500 stored in the partial discharge analysis data storage unit 123 of the embodiment. In FIG. 5, the partial discharge analysis data 500 includes a date and time 501, a signal intensity 502, a dispersion value 503, an AI identification result 504, and a clustering result 505. The date and time 501 corresponds to the date and time 401 in the partial discharge waveform data 400 (see FIG. 4). The signal intensity 502 is a quantification of the signal intensity waveform 412 (see FIG. 4), for example, the average value of the signal intensity waveform 412. The dispersion value 503 indicates the degree of dispersion of the data of the signal intensity 502. The AI identification result 504 indicates the presence or absence of a defect and the type of defect. The clustering result 505 shows the result of grouping similar data.

[0048] (An example of peripheral device information) When a device is arranged around an electrical device, noise may be generated when the peripheral device operates. The measuring device 100 may detect the noise as partial discharge. Therefore, in this embodiment, it is possible to display a grid based on the presence or absence of operation of the peripheral device.

[0049] FIG. 6 is an explanatory diagram showing an example of peripheral device information 600 stored in the related information storage unit 124 of the embodiment. In FIG. 6, the peripheral device information 600 includes a date and time 601 and peripheral devices 602a, 602b. The date and time 601 corresponds to the date and time 401 in the partial discharge waveform data 400 (see FIG. 4). The peripheral devices 602a, 602b indicate the operation status (operation or non-operation) of the peripheral devices existing around the box body 10 in each time zone.

[0050] (An example of workplace / employee information) For example, if there is an employee performing welding, the measuring device 100 may detect the discharge due to welding as partial discharge. Therefore, in this embodiment, it is possible to display a grid based on the presence or absence of operation of the workplace and the working status of the employees.

[0051] FIG. 7 is an explanatory diagram showing an example of workplace / employee information 700 stored in the related information storage unit 124 of the embodiment. In FIG. 7, the workplace / employee information 700 includes a date and time 701, a workplace 702, and employees 703a, 703b, and 703c. The date and time 701 corresponds to the date and time 401 in the partial discharge waveform data 400 (see FIG. 4). The workplace 702 indicates the operation status (operating or non-operating) of each time zone of the operation of the workplace where the box body 10 is arranged. Further, the employees 703a, 703b, and 703c indicate the work status (working or non-working) of each employee working in the workplace 702 for each time zone.

[0052] (Example of railway information) When a railway passes near the workplace, it may generate noise. The measuring device 100 may detect the noise as partial discharge. Therefore, in the present embodiment, it is possible to display a grid based on the presence or absence of railway operation.

[0053] FIG. 8 is an explanatory diagram showing an example of railway information 800 stored in the related information storage unit 124 of the embodiment. In FIG. 8, the railway information 800 includes a date and time 801 and railways 802a and 802b. The date and time 801 corresponds to the date and time 401 in the partial discharge waveform data 400 (see FIG. 4). The railways 802a and 802b indicate the operation status (rest or operation) of each time zone of the railways passing near the workplace. Note that the operation status shown for the railways 802a and 802b is set to "operation" when passing even once in each time zone, but may be set to "operation" when passing a predetermined number of times (for example, 3 times) or more in each time zone.

[0054] (Example of weather-related information) Partial discharge may be likely to occur depending on weather conditions. For this reason, although the measuring device 100 may not detect partial discharge under normal circumstances, it may detect partial discharge depending on weather conditions. Therefore, in the present embodiment, it is possible to display a grid based on weather information.

[0055] FIG. 9 is an explanatory diagram showing an example of weather-related information 900 stored in the related information storage unit 124 of the embodiment. In FIG. 9, the weather-related information 900 includes a date and time 801, a weather condition 902, a humidity 903, an atmospheric pressure 904, a temperature 905, and a sunshine duration 906. The date and time 901 corresponds to the date and time 401 in the partial discharge waveform data 400 (see FIG. 4). The weather condition 902 indicates the weather condition of each time zone in the area where the workplace is located, specifically indicating any one of clear and sunny, sunny, cloudy, rainy, snowy, thunderous, etc. The humidity 903 indicates the humidity of each time zone in the area where the workplace is located. The atmospheric pressure 904 indicates the atmospheric pressure of each time zone in the area where the workplace is located. The temperature 905 indicates the temperature of each time zone in the area where the workplace is located. The sunshine duration 906 indicates the sunshine duration of each time zone in the area where the workplace is located.

[0056] (Example of the screen displayed on the display 307) Next, with reference to FIGS. 10 to 15, an example of a screen related to partial discharge displayed on the display 307 will be described.

[0057] (Screen when no filter is applied) FIG. 10 is an explanatory diagram showing an example of a screen of the AI identification result without a filter according to the embodiment. As shown in FIG. 10, on the display 307, a two-axis correspondence table 1000, a summary result 1010, a display data selection area 1020, an exclusion filter selection area 1030, and an extraction filter selection area 1040 are displayed.

[0058] The two-axis correspondence table 1000 shows the date on the vertical axis and the time zone on the horizontal axis. In the two-axis correspondence table 1000, the vertical axis and the horizontal axis may be swapped, that is, the time zone may be shown on the vertical axis and the date may be shown on the horizontal axis. The two-axis correspondence table 1000 includes cells 1001. In the display data selection area 1020, the AI identification result is selected. Therefore, the two-axis correspondence table 1000 shows the AI identification result. Specifically, the cells 1001 in the two-axis correspondence table 1000 indicate the presence or absence of defects or the types of defects in each time zone. In the two-axis correspondence table 1000, "no defect", "defect type 1", "defect type 2", and "defect type 3" are displayed in different display modes. Thereby, the operator can grasp at a glance the "absence of defects" and the tendency of the defect types.

[0059] The aggregation result 1010 shows the aggregation of the cells 1001 for each defect type in the AI identification result in the two-axis correspondence table 1000. For example, the number of cases of "no defect type" (the number of cells 1001) is shown as "36". Also, the number of cases of "void" (= defect type 1) is shown as "27". Also, the number of cases of "creepage" (= defect type 2) is shown as "45". Also, the number of cases of "peeling" (= defect type 3) is shown as "12". Thereby, the operator can grasp at a glance the number of "no defects" and the number of defect types.

[0060] The display data selection area 1020 acceptably and selectably receives any one of the AI identification result, the signal strength, and the clustering result. The exclusion filter selection area 1030 receives the selection of related information (exclusion filter) to be excluded from the defect types shown in the two-axis correspondence table 1000. The exclusion filter to be received is a filter that excludes those that may cause defect types, for example, the operation of peripheral devices, the operation of the workplace, the work of employees, and the operation of railways.

[0061] The extraction filter selection area 1040 receives the selection of related information (extraction filter) to be extracted from the defect types shown in the two-axis correspondence table 1000. The extraction filter to be received is a filter that extracts those that may promote partial discharge, for example, a predetermined humidity, a predetermined temperature, weather, a predetermined atmospheric pressure, a predetermined sunshine duration, etc.

[0062] (Signal strength display screen) On the screen shown in FIG. 10, when the display data selection area 1020 is selected and further "signal strength" is selected from the selection items, the screen shown in FIG. 11 is transitioned to. FIG. 11 is an explanatory diagram showing an example of a screen of signal strength data according to an embodiment. In FIG. 11, the value of the signal strength itself is displayed in the cell 1001 of the two-axis correspondence table 1100. Each signal strength shown in the two-axis correspondence table 1100 is displayed in a different display mode according to the numerical range. Specifically, "0 or more to 0.1 or less", "more than 0.1 to 0.2 or less", "more than 0.2 to 0.3 or less", "more than 0.3 to 0.4 or less" are each displayed in a different display mode. Thereby, the operator can grasp at a glance the numerical range of the signal strength.

[0063] Also, the aggregation result 1110 shows the aggregation for each range of signal strength in the two-axis correspondence table 1100. Thereby, the operator can grasp at a glance the number for each range of signal strength.

[0064] (Screen with exclusion filter applied) Also, on the screen shown in FIG. 10, when the exclusion filter selection area 1030 is selected and further "Peripheral device 1" is selected from the selection items, the screen shown in FIG. 12 is transitioned to. FIG. 12 is an explanatory diagram showing an example of a screen of AI identification results when the exclusion filter according to the embodiment is applied. In the two-axis correspondence table 1200 shown in FIG. 12, the exclusion area 1201 indicates the time zone when the peripheral device 1 (see the peripheral device 602a in FIG. 6) is operating. The exclusion area 1201 has a large display of "Defect type 2". For this reason, the operator can diagnose that "Defect type 2" is caused by the operation of the peripheral device 1.

[0065] The aggregation result 1210 shows the aggregation for each type of defect after applying the exclusion filter. Specifically, in the two-axis contingency table 1200, it shows the number of "no defect type" and each defect type in the part excluding the exclusion area 1201. Thus, the operator can immediately grasp the number of "no defects" and the number of defect types after applying the exclusion filter.

[0066] The notification image 1220 is an image based on the aggregation results 1010 and 1210. Specifically, when comparing the aggregation result 1010 and the aggregation result 1210, the creepage (defect type 2) has decreased the most. Therefore, it can be estimated that "defect type 2" was caused by the operation of the peripheral device 1. For this reason, the notification image 1220 indicates that the "defect type 2" shown in the exclusion area 1201 is not due to the deterioration of the insulation part in the switch gear.

[0067] Note that such notifications are not limited to the case where the peripheral device 1 is operating, and may also be performed in other cases (for example, when it can be presumed to be caused by the operation of the railway, or when it can be presumed to be caused by the presence of welders on duty). Also, if the notification function is off, the notification image 1220 will not be displayed.

[0068] (Screen where the extraction filter is applied) Also, on the screen shown in FIG. 12, when the extraction filter selection area 1040 is selected and "humidity ≥ 80%" is further selected from the selection items, the screen shown in FIG. 13 is transitioned to. FIG. 13 is an explanatory diagram showing an example of a screen of the AI identification result when the extraction filter of the embodiment is applied. In the two-axis contingency table 1300 shown in FIG. 13, in addition to the exclusion area 1201, an extraction area 1301 is displayed. The extraction area 1301 shows the time period when the humidity is 80% or more (refer to the humidity 903 in FIG. 9). The extraction area 1301 shows a large number of "defect type 1". Therefore, the operator can diagnose that "defect type 1" is promoted when the humidity is 80% or more. That is, the operator can diagnose that the deterioration of the insulation part in the switch gear has started for the "defect type 1" shown in the extraction area 1301.

[0069] The aggregation result 1310 shows the aggregation for each defect type after applying the extraction filter. Specifically, in the two-axis contingency table 1300, it shows the number of "no defect type" and the number of each defect type in the part of the extraction area 1301. Thereby, the operator can grasp at a glance the number of "no defects" and the number of defect types after applying the extraction filter.

[0070] The notification image 1320 is an image based on the aggregation result 1310. Specifically, the aggregation result 1310 shows that only voids (defect type 1) have occurred. It can be estimated that "defect type 1" is promoted when the humidity is 80% or more. Therefore, the notification image 1320 shows that the deterioration of the insulating part is starting for the "defect type 1" shown in the extraction area 1301.

[0071] Note that such notification is not limited to being performed based on humidity. For example, it may be performed based on humidity, atmospheric pressure, temperature, or a combination of these. Also, if the notification function is off, the notification image 1320 is not displayed.

[0072] (Signal strength display screen) On the screen shown in FIG. 13, when the display data selection area 1020 is selected and further "signal strength" is selected from the selection items, the screen shown in FIG. 14 is transitioned to. FIG. 14 is an explanatory diagram showing an example of a screen of signal strength data of the embodiment. The two-axis contingency table 1400 shown in FIG. 14 shows the value of the signal strength itself, and the exclusion area 1201 and the extraction area 1301 are displayed.

[0073] The aggregation result 1410 shows the aggregation for each range of signal strength after applying the extraction filter. Thereby, the operator can grasp at a glance the number for each range of signal strength after applying the extraction filter.

[0074] (Detailed display screen of the grid 1001) In the two-axis correspondence tables 1000 to 1400 shown in FIGS. 10 to 14, when one cell 1001 is selected, the process transitions to the detailed display screen 1500 shown in FIG. 15. FIG. 15 is an explanatory diagram showing an example of the detailed display screen 1500 of various data of the cell 1001 of the embodiment. The detailed display screen 1500 includes a partial discharge waveform data display area 1501 in a certain time period, a partial discharge analysis data display area 1502 in the same time period, and a related information display area 1503 in the same time period.

[0075] The partial discharge waveform data display area 1501 shows the partial discharge waveform data 400 in the same time period extracted from the partial discharge waveform data storage unit 122 (see FIG. 4). The partial discharge analysis data display area 1502 shows the partial discharge analysis data 500 in the same time period extracted from the partial discharge analysis data storage unit 123 (see FIG. 5). The related information display area 1503 shows the peripheral device information 600, the workplace / employee information 700, the railway information 800, and the weather-related information 900 in the same time period extracted from the related information storage unit 124 (see FIGS. 6 to 9).

[0076] By displaying such a detailed display screen 1500, the operator can view various situations in the target time period on one screen. Therefore, the operator can efficiently perform the analysis of the diagnosis of partial discharge in the said time period.

[0077] FIG. 16 is a flowchart showing an example of the diagnosis support process related to partial discharge performed by the partial discharge diagnosis support device 120 of the embodiment. In FIG. 16, the partial discharge diagnosis support device 120 determines whether it has received the start of diagnosis support (step S1601). The start of diagnosis support is, for example, receiving the selection of a button to start diagnosis support.

[0078] The partial discharge diagnosis support device 120 waits until it receives the start of diagnosis support (step S1601: NO). When it receives the start of diagnosis support (step S1601: YES), the partial discharge diagnosis support device 120 acquires the partial discharge waveform data 400 from the partial discharge waveform data storage unit 122 and acquires the partial discharge analysis data 500 from the partial discharge analysis data storage unit 123 (step S1602).

[0079] Then, the partial discharge diagnosis support device 120 displays a two-axis correspondence table on the display 307 (step S1603). At this time, the partial discharge diagnosis support device 120 may display predetermined display data (for example, defect type) in the two-axis correspondence table.

[0080] Then, the partial discharge diagnosis support device 120 determines whether it has received a selection of display data based on an operation of the display data selection area 1020 (see FIG. 10) (step S1604). If it has not received a selection of display data (step S1604: NO), the partial discharge diagnosis support device 120 proceeds to step S1606. If it has received a selection of display data (step S1604: YES), the partial discharge diagnosis support device 120 performs aggregation according to the received selection (AI identification result, signal intensity, clustering result) and switches to a screen corresponding to the selection (step S1605).

[0081] Next, the partial discharge diagnosis support device 120 determines whether it has received a selection of a filter based on an operation of the exclusion filter selection area 1030 (see FIG. 10) or the extraction filter selection area 1040 (step S1605). If it has not received a selection of a filter (step S1606: NO), the partial discharge diagnosis support device 120 proceeds to step S1609. If it has received a selection of a filter (step S1606: YES), the partial discharge diagnosis support device 120 acquires related information corresponding to the selected filter and items from the peripheral device information 600, workplace / employee information 700, railway information 800, and weather-related information 900 (step S1607).

[0082] Then, the partial discharge diagnosis support device 120 performs aggregation according to the received selection (e.g., "Peripheral device 1", "Humidity ≥ 80%", etc.), and displays an area corresponding to the selection (e.g., the exclusion area 1201 in FIG. 12 or the extraction area 1301 in FIG. 13) (step S1608).

[0083] Next, the partial discharge diagnosis support device 120 determines whether the notification function is on (step S1609). If the notification function is off (step S1609: NO), the partial discharge diagnosis support device 120 proceeds to step S1611. If the notification function is on (step S1609: YES), the partial discharge diagnosis support device 120 performs notification regarding the type of defect based on the aggregation result (step S1610).

[0084] Then, the partial discharge diagnosis support device 120 determines whether the selection of the cell 1001 in the two-axis correspondence table has been received (step S1611). If the selection of the cell 1001 has not been received (step S1611: NO), the partial discharge diagnosis support device 120 proceeds to step S1614. If the selection of the cell 1001 has been received (step S1611: YES), the partial discharge diagnosis support device 120 extracts the data corresponding to the time from the partial discharge waveform data 400, partial discharge analysis data 500, peripheral device information 600, workplace / employee information 700, railway information 800, and weather-related information 900 (step S1612).

[0085] Then, the partial discharge diagnosis support device 120 displays the detailed display screen 1500 (see FIG. 15) (step S1613). Next, the partial discharge diagnosis support device 120 determines whether to end the diagnosis support (step S1614). The end of the diagnosis support is, for example, to receive the selection of a button to end the diagnosis support.

[0086] If the partial discharge diagnosis support device 120 does not receive the end of the diagnosis support (step S1614: NO), it returns to step S1604. On the other hand, when the end of the diagnosis support is received (step S1614: YES), the partial discharge diagnosis support device 120 ends a series of processes.

[0087] As described above, the partial discharge diagnosis support device 120 according to the embodiment displays a two-axis correspondence table with the first axis taking the first information indicating the first period and the second axis taking the second information different from the first information, based on the partial discharge analysis data 500. As a result, an operator such as a work staff can easily grasp the analysis results related to the partial discharge for each first period. Therefore, according to the partial discharge diagnosis support device 120 of the embodiment, it is possible to support the operator in diagnosing the deterioration state of the insulating part.

[0088] Also, in the present embodiment, the second information is set as information indicating a second period that divides the first period. As a result, each analysis result can be displayed in a grid by dividing the first period into the second periods. Therefore, the analysis results can be represented more clearly.

[0089] Also, in the present embodiment, the first period is set as a period based on days, and the second period is set as a period based on time zones. Therefore, the analysis results for each time zone of each day can be represented more clearly. Further, since the related information is information for each day and each time zone, by using two axes with the axis based on days and the axis based on time zones in the two-axis correspondence table, the related information can be effectively reflected.

[0090] Also, in the present embodiment, according to the selection of the operator, the grids of the period satisfying the first condition that promotes partial discharge are displayed in a manner different from other grids. As a result, it is possible to suggest that there may be a possibility that the partial discharge is about to start. Therefore, it is possible to support the early detection of partial discharge.

[0091] Also, in the present embodiment, the first condition is set as a condition related to weather. As a result, the first condition can be set as the condition in which partial discharge is most likely to be promoted. Therefore, a diagnostic result indicating that there may be a possibility that the partial discharge is about to start can be obtained with high accuracy.

[0092] In addition, in the present embodiment, the defect type is displayed in the cells of the two-axis correspondence table. This can assist the operator in diagnosing the cause of partial discharge.

[0093] In addition, in the present embodiment, the partial discharge diagnosis support device 120 is configured to be able to switchably display the defect type and the signal strength in the cells of the two-axis correspondence table according to the operator's selection. As a result, not only the defect type but also the actual signal strength can be displayed. Therefore, the operator can diagnose the cause of partial discharge more efficiently and thus obtain a highly reliable diagnosis result.

[0094] In addition, in the present embodiment, the partial discharge diagnosis support device 120 is configured to display the cells in the period that satisfies the second condition related to the generation of the noise signal in a different manner from other cells according to the operator's selection. Therefore, even when there is a defect type due to the generation of the noise signal, it can be displayed in a manner indicating that it does not correspond to the defect type according to the second condition. This enables the operator to obtain a more reliable diagnosis result of partial discharge.

[0095] In addition, in the present embodiment, the second condition is set to include any one of the conditions related to the operating status of peripheral devices, the operating status of the workplace, the working status of employees, and the operating status of railways passing near the workplace. As a result, for the second condition, it is possible to obtain the condition in which defect types are most likely to occur due to the generation of noise signals. Therefore, even when there is a defect type, it can be made not to correspond to the defect type according to the condition. Therefore, the operator can accurately obtain a highly reliable diagnosis result.

[0096] In addition, in the present embodiment, the partial discharge diagnosis support device 120 is configured to display the total result obtained by aggregating the analysis results (defect types) displayed in the cells of the two-axis correspondence table. As a result, the operator can immediately grasp the number of "no defects" and the number of defect types. Therefore, it becomes easier for the operator to grasp the presence or absence and the cause of partial discharge.

[0097] Also, in the present embodiment, the partial discharge diagnosis support device 120 is configured to display the details of the analysis results corresponding to the cells received in the two-axis correspondence table (see the detailed display screen 1500 in FIG. 15). Thereby, the operator can grasp various situations during the period indicated by the cells. Therefore, the operator can efficiently perform the analysis of the diagnosis of partial discharge during the period.

[0098] Also, in the present embodiment, the partial discharge diagnosis support device 120 is configured to notify the factors (defect types) related to the occurrence of partial discharge based on the aggregation result. Therefore, it is possible to more efficiently support the operator in diagnosing the deterioration status of the insulating part.

[0099] (Modification Example of the Embodiment) Hereinafter, a modification example of the embodiment will be described. In each of the following modification examples, the description of the content described in the above-described embodiment will be omitted as appropriate. Also, it is possible to adopt a configuration in which the configurations shown in the above-described embodiment and each modification example are combined. Specifically, it may be a configuration including all of the above-described embodiment and the following modification examples, or a configuration in which any one of the above-described embodiment and the following modification examples is combined.

[0100] (Modification Example 1) First, Modification Example 1 will be described. In the above-described embodiment, the second axis in the two-axis correspondence table was described as information indicating the second period. In Modification Example 1, in addition to or instead of such a configuration, the second axis in the two-axis correspondence table will be described as related information.

[0101] FIG. 17 is an explanatory diagram showing an example of a screen of Modification Example 1 related to partial discharge displayed on the display 307 of the embodiment. As shown in FIG. 17, on the display 307, a two-axis correspondence table 1700, a date selection area 1710, and a defect type selection area 1720 are displayed.

[0102] In Modification Example 1, the partial discharge diagnosis support device 120 displays a two-axis correspondence table 1700 with the first information indicating the time zone as the first axis and the related information as the second axis based on the partial discharge analysis data 500. Specifically, in the two-axis correspondence table 1700, the related information is shown on the vertical axis and the time zone is shown on the horizontal axis. Note that the horizontal axis may be information indicating a period, for example, another period such as the date. Also, in the two-axis correspondence table 1700, the vertical axis and the horizontal axis may be interchanged, that is, the time zone may be displayed on the vertical axis and the related information may be displayed on the horizontal axis.

[0103] The date selection area 1710 is an area for receiving a selection of the date. The defect type selection area 1720 receives a selection of the type of defect type to be displayed in the two-axis correspondence table 1700. The two-axis correspondence table 1700 shows the related information in each time zone when the defect type 1 occurs.

[0104] Even if the two-axis correspondence table 1700 according to Modification Example 1 is displayed, the operator can efficiently diagnose the cause of the partial discharge, so that a highly reliable diagnosis result can be obtained.

[0105] (Modification Example 2) First, Modification Example 2 will be described. In the above-described embodiment, it has been described that the description of each axis in the two-axis correspondence table is fixed. In Modification Example 1, in addition to or instead of such a configuration, it will be described that each axis in the two-axis correspondence table can be changed.

[0106] In the two-axis correspondence table according to Modification Example 2, the vertical axis may be changeable to the order of the days of the week. For example, using the information of one month, the data may be arranged and displayed such that there are four for Monday and four for Tuesday. Thereby, the deterioration state of the insulating part can be diagnosed for each day of the week.

[0107] Also, in the two-axis correspondence table according to Modification 2, the horizontal axis may be changed to display the date, and the vertical axis may be changed to display the week. Also, in the two-axis correspondence table according to Modification 2, the horizontal axis may be changed to display the week, and the vertical axis may be changed to display the month. Even in this case, the operator can easily grasp the analysis results such as the deterioration status of the insulating portion for each period.

[0108] Note that at least a part of the functions of the partial discharge diagnosis support device 120 in the above-described embodiment may be realized by a computer. In that case, a program for realizing this function may be recorded on a computer-readable recording medium. Also, the program recorded on this recording medium may be read into a computer system and executed to be realized. Here, the “computer system” shall include hardware such as an OS and peripheral devices. Also, the “computer-readable recording medium” refers to a storage device such as a hard disk built into a computer system. The storage device also includes portable media such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, a DVD-ROM, and a USB memory. Furthermore, the “computer-readable recording medium” may be one that dynamically holds a program for a short period of time. Specifically, it is a communication line or the like when transmitting a program via a network such as the Internet or a communication line such as a telephone line. Also, the “computer-readable recording medium” may include one that holds a program for a certain period of time. Specifically, it is a volatile memory or the like inside a computer system serving as a server or a client. Also, the above program may be for realizing a part of the above-described functions. Furthermore, the above program may be one that can be realized in combination with a program already recorded in the computer system for the above-described functions.

[0109] Although some embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included in the scope and gist of the invention, as well as in the invention described in the claims and the equivalent scope thereof.

Description of Reference Numerals

[0110] 100... Measuring device 110... Partial discharge analyzer 111... Analysis unit 120... Partial discharge diagnosis support device 121... Storage unit 122... Partial discharge waveform data storage unit 123... Partial discharge analysis data storage unit 124... Related information storage unit 131... Acquisition unit 132... Display processing unit 133... Output unit 134... Input unit 135... Notification unit 301... CPU 302... ROM 303... RAM 304... Memory 305... Communication I / F 306... Input device 307... Display

Claims

1. An acquisition unit that acquires an analysis result for each time based on the signal intensity of partial discharge generated in an insulating part of an electrical device housed in a housing; An output processing unit that outputs a table representing the analysis result acquired by the acquisition unit, the table having a plurality of cells with first information indicating a first period on a first axis and second information different from the first information on a second axis; comprising: The second information is information indicating a second period that divides the first period. A partial discharge diagnosis support device.

2. The first period is a period based on days, The second period is a period based on time zones, The partial discharge diagnosis support device according to claim 1.

3. comprising a first selection unit that receives a selection of a first condition under which the partial discharge is promoted, The output processing unit outputs, in a display mode different from other cells, a cell in a period satisfying the first condition among the plurality of cells according to a selection by an operator. The partial discharge diagnosis support device according to claim 1 or 2.

4. The first condition is a condition related to weather. The partial discharge diagnosis support device according to claim 3.

5. The analysis result includes a plurality of factors related to the occurrence of the partial discharge, The output processing unit outputs the factors to the cells of the table. The partial discharge diagnosis support device according to any one of claims 1 to 4.

6. The acquisition unit acquires the signal intensity, The output processing unit outputs the factors and the signal intensity to the cells of the table in a switchable manner according to a selection by an operator. The partial discharge diagnosis support device according to claim 5.

7. comprising a second selection unit that receives a second condition related to the generation of a noise signal; The output processing unit outputs, in a display mode different from other grids, a grid during a period that satisfies the second condition according to the selection of an operator. The partial discharge diagnosis support device according to any one of claims 1 to 6.

8. The second condition includes any one of a condition related to the operating status of peripheral devices arranged around the electrical equipment, a condition related to the operating status of the workplace where the electrical equipment is arranged, a condition related to the working status of employees in the workplace, and a condition related to the operation status of a railway passing near the workplace. The partial discharge diagnosis support device according to claim 7.

9. The output processing unit outputs a total result obtained by totaling the analysis results respectively displayed in the grids of the table. The partial discharge diagnosis support device according to any one of claims 1 to 8.

10. comprising a notification unit that performs notification regarding the cause of the occurrence of the partial discharge based on the total result. The partial discharge diagnosis support device according to claim 9.

11. comprising a reception unit that receives a selection of any one grid from the grids of the table from an operator; The output processing unit outputs details of the analysis result corresponding to the grid received by the reception unit. The partial discharge diagnosis support device according to any one of claims 1 to 9.

12. A computer used in a partial discharge diagnosis support device, an acquisition step of acquiring an analysis result by time based on the signal intensity of a partial discharge generated in an insulating portion of an electrical equipment housed in a housing; An output processing step of outputting a table representing the analysis result obtained in the acquisition step, the table having a plurality of cells with first information indicating a first period on a first axis and second information different from the first information on a second axis. Execute a process including The second information is information indicating a second period that divides the first period. Diagnostic support method.

13. A computer used in a partial discharge diagnostic support device, Obtain an analysis result for each time based on the signal intensity of partial discharge generated in the insulating part of the electrical equipment housed in the housing, Output a table representing the obtained analysis result, the table having a plurality of cells with first information indicating a first period on a first axis and second information different from the first information on a second axis. Cause the process to be executed, The second information is information indicating a second period that divides the first period. Program.

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