Substation equipment operation status evaluation system and method based on fault recording analysis

Abstract

The present invention discloses a substation equipment operation status assessment system and method based on fault recording analysis, which belongs to the field of power automation technology. The system includes an SOE recording unit, a fault assessment unit and a collaborative self-checking unit. The substation equipment operation status assessment system based on fault recording analysis realizes the positioning of the corresponding substation equipment monitoring area after recording the fault recording information through the division of different substation equipment monitoring areas, and realizes the preliminary status assessment of the substation equipment according to the fault recording information. The inspection rule method of the substation equipment in the substation equipment monitoring area is retrieved by establishing a fault inspection rule library, and the abnormal point is captured according to the inspection rule in combination with the video monitoring method, as the supplementary data of the preliminary status assessment, so as to realize the final fault assessment of the substation equipment, and the data source is more real and comprehensive, and the assessment result is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power automation, and in particular to a system and method for evaluating the operating status of substation equipment based on fault recording analysis. Background Art

[0002] Fault recorder is a dispatching-side power grid fault diagnosis system based on fault recorder information. Fault recorder is used in power system. When a fault occurs in the system, it can automatically and accurately record the changes of various electrical quantities before and after the fault. By analyzing and comparing these electrical quantities, it plays an important role in analyzing and handling accidents, judging whether the protection is operating correctly, and improving the safe operation level of the power system. Based on the power grid fault diagnosis and information analysis at the dispatching end, the system is divided into several functional modules: database module, system management module, fault diagnosis module, fault information analysis module, protection and switch action behavior evaluation module and other functional modules.

[0003] The evaluation of the operating status of existing substation equipment is mostly carried out directly through online evaluation. For example, the circuit breaker health status evaluation system and method based on fault recording analysis described in Application No. 201610003432.7 analyzes the fault recording file to obtain relevant quantities such as the circuit breaker action time, and evaluates the health status of the circuit breaker according to the changing trend of the action time.

[0004] Based on the above, it can be seen that the operating status of substation equipment is simply evaluated by relying on the electrical quantity data collected online for fault assessment. Once the recording equipment is abnormal, it is impossible to obtain effective status assessment results of the substation equipment. For this reason, a substation equipment operating status assessment system based on fault recording analysis is proposed. Through the coordinated processing of fault recording and video inspection, an accurate and effective assessment of the real operating status of the substation equipment can be achieved. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a system and method for evaluating the operating status of substation equipment based on fault recording analysis, which solves the problems raised in the above-mentioned background technology.

[0006] The technical solution adopted by the present invention is:

[0007] The substation equipment operation status assessment system based on fault recording analysis includes an SOE recording unit 1 and a fault assessment unit 2; the SOE recording unit 1 is respectively connected with the fault assessment unit 2 and the collaborative self-checking unit 3 for information transmission, the SOE recording unit 1 divides the substation equipment monitoring area, and locates the substation equipment monitoring area for recording fault recording information; the fault assessment unit 2 performs a preliminary fault assessment of the substation equipment according to the fault recording information.

[0008] Furthermore, the SOE recording unit 1 includes a fault location module 101, a recording data index module 102, a data comparison module 103 and a change feature determination module 104; the fault location module 101 is connected to the recording data index module 102 for information transmission, the recording data index module 102 is connected to the data comparison module 103 for information transmission, and the data comparison module 103 is connected to the change feature determination module 104 for information transmission.

[0009] Furthermore, the fault location module 101 divides the substation equipment into regions and numbers and sorts them as substation equipment monitoring regions, and is also used to store fault recording information of the substation equipment monitoring regions, and locate the corresponding substation equipment monitoring regions when recording the fault recording information;

[0010] The recording data indexing module 102 retrieves the electrical quantity data before and after the fault of the corresponding transformer equipment from the fault recording information according to the information of the transformer equipment in the monitoring area of ​​the transformer equipment located;

[0011] The data comparison module 103 performs a difference comparison between the electrical quantity data before the fault and the electrical quantity data after the fault;

[0012] The change characteristic determination module 104 determines the change characteristic of the electrical quantity according to the difference comparison result as a real-time fault characteristic.

[0013] Furthermore, the fault assessment unit 2 includes an inspection rule construction module 201, an online feature comparison module 202 and a fault rough diagnosis module 203; the inspection rule construction module 201 is connected to the online feature comparison module 202 for information transmission, and the online feature comparison module 202 is connected to the fault rough diagnosis module 203 for information transmission; the change feature determination module 104 is connected to the online feature comparison module 202 for information transmission.

[0014] Furthermore, the inspection rule construction module 201 analyzes the fault characteristics and corresponding inspection rules based on historical substation equipment failure cases, and constructs inspection rules corresponding to the fault characteristics together with operation and maintenance personnel, equipment personnel and management experts as a fault inspection rule library;

[0015] The online feature comparison module 202 compares the real-time fault features with the fault features in the fault inspection rule base online, and locates the inspection rules corresponding to the real-time fault features;

[0016] The fault rough diagnosis module 203 establishes a fault type library according to historical fault characteristics, and performs preliminary fault assessment of the substation equipment according to real-time fault characteristics.

[0017] Further, the preliminary fault assessment includes: Fault Assessment Index calculate;

[0018] The calculation formula is as follows:

[0019]

[0020] In the formula, It is a fault assessment index used to quantify the severity of equipment failure; is the total number of fault types in the fault type library; is the real-time fault feature vector and the fault feature library Similarity of fault types; is the real-time fault feature vector; The fault feature library Fault type; is the base of natural logarithms, approximately equal to 2.71828; is an adjustment factor used to control the weight of the distance metric in the probability calculation; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; The fault feature library Fault type; For the The severity factor of each fault type.

[0021] Further, the fault assessment unit 2 is connected to the collaborative self-checking unit 3 for information transmission, and the collaborative self-checking unit 3 obtains supplementary real-time fault characteristics and generates a final fault assessment of the substation equipment;

[0022] The collaborative self-check unit 3 includes a fault monitoring module 301, an image comparison module 302 and a fault supplement module 303; the fault monitoring module 301 is connected to the image comparison module 302 for information transmission, and the image comparison module 302 is connected to the fault supplement module 303 for information transmission; the fault location module 101 is connected to the fault monitoring module 301 for information transmission; the fault rough diagnosis module 203 is connected to the fault supplement module 303 for information transmission.

[0023] Further, the fault monitoring module 301 is a video monitor arranged in the substation monitoring area. After the fault location module 101 locates the corresponding substation monitoring area, the fault monitoring module 301 performs a video inspection of the substation monitoring area according to the inspection rules as a fault video.

[0024] The image comparison module 302 regularly inspects the video images of the substation monitoring area as a reference video, and when a fault video occurs, compares the part of the video corresponding to the inspection rule in the reference video with the fault video frame by frame, and marks the abnormal point location;

[0025] When an abnormal point appears, the fault supplement module 303 collects the change characteristics of the abnormal point as a supplementary real-time fault feature, and locates the supplementary real-time fault feature through the online feature comparison module 202, and performs fault assessment of the substation equipment through the fault rough diagnosis module 203 as the final fault assessment result of the substation equipment; the fault supplement module 303 also uses the preliminary fault assessment of the substation equipment as the final fault assessment of the substation equipment when no abnormal point appears.

[0026] Furthermore, the frame-by-frame comparison process between the partial video and the fault video includes: difference calculation;

[0027] The calculation formula is as follows:

[0028]

[0029] In the formula, is the degree of difference; is the size of the grayscale image of the reference video and the fault video; M is the height of the grayscale image of the reference video and the fault video; N is the width of the grayscale image of the reference video and the fault video; For R in position The pixel value on ; is a frame image in the reference video; For F in position The pixel value on ; It is the frame image of the fault video at the same time point of the corresponding reference video; i represents the row index currently being processed, from 1 to M; j represents the column index currently being processed, from 1 to N;

[0030] Furthermore, it is necessary to compare the difference D and the similarity threshold T; When the reference video frame is different from the fault video frame, the abnormal pixel point is located; Pixels of are marked as abnormal pixels, where is the threshold of pixel-level difference;

[0031] The calculation formula for abnormal pixel location is as follows:

[0032]

[0033] In the formula, Indicates at location The pixel difference value on ; represents the pixel value at the i-th row and j-th column in the reference video; R represents the image data in the normal state; It represents the pixel value at the i-th row and j-th column in the fault video; F represents the image data that may have a fault or abnormal state.

[0034] Furthermore, the method for using the system specifically includes the following steps:

[0035] S1. Divide the substation equipment into regions and mark them by number and sorting as substation equipment monitoring regions. The fault recording information of the substation equipment monitoring regions is stored in the fault location module 101. When recording the fault recording information, the corresponding substation equipment monitoring region is located. The recording data index module 102 retrieves the electrical quantity data before the fault and the electrical quantity data after the fault of the corresponding substation equipment from the fault recording information according to the information of the substation equipment in the located substation equipment monitoring region. The data comparison module 103 compares the electrical quantity data before the fault and the electrical quantity data after the fault. The change feature determination module 104 determines the change feature of the electrical quantity according to the difference comparison result as the real-time fault feature.

[0036] S2. Analyze the fault characteristics and corresponding inspection rules based on historical substation equipment failure cases, and build inspection rules corresponding to the fault characteristics together with operation and maintenance personnel, equipment personnel and management experts. Store the inspection rules as a fault inspection rule library in the inspection rule building module 201. Online, compare the real-time fault characteristics with the fault characteristics in the fault inspection rule library through the online feature comparison module 202 to locate the inspection rules corresponding to the real-time fault characteristics. The rough fault diagnosis module 203 builds a fault type library based on the historical fault characteristics, and performs preliminary fault assessment of the substation equipment based on the real-time fault characteristics.

[0037] The preliminary fault assessment includes: Failure Assessment Index (FAI) calculation;

[0038] The calculation formula is as follows:

[0039]

[0040] In the formula, It is a fault assessment index used to quantify the severity of equipment failure; is the total number of fault types in the fault type library; is the real-time fault feature vector and the fault feature library Similarity of fault types; is the real-time fault feature vector; The fault feature library Fault type; is the base of natural logarithms, approximately equal to 2.71828; is an adjustment factor used to control the weight of the distance metric in the probability calculation; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; The fault feature library Fault type; For the The severity factor of each fault type;

[0041] S3, the video monitors deployed in the substation monitoring area regularly inspect the substation monitoring area through the image comparison module 302 as a reference video. After locating the corresponding substation monitoring area in S1, the fault monitoring module 301 inspects the substation monitoring area according to the inspection rules as a fault video. When a fault video appears, the image comparison module 302 compares the part of the video corresponding to the inspection rule in the reference video with the fault video frame by frame, and marks the abnormal point location.

[0042] The frame-by-frame comparison process between the partial video and the fault video includes: difference calculation;

[0043] The calculation formula is as follows:

[0044]

[0045] In the formula, is the degree of difference; is the size of the grayscale image of the reference video and the fault video; M is the height of the grayscale image of the reference video and the fault video; N is the width of the grayscale image of the reference video and the fault video; For R in position The pixel value on ; is a frame image in the reference video; For F in position The pixel value on ; It is the frame image of the fault video at the same time point of the corresponding reference video; i represents the row index currently being processed, from 1 to M; j represents the column index currently being processed, from 1 to N;

[0046] Furthermore, it is necessary to compare the difference D and the similarity threshold T; When the reference video frame is different from the fault video frame, the abnormal pixel point is located; Pixels of are marked as abnormal pixels, where is the threshold of pixel-level difference;

[0047] The calculation formula for abnormal pixel location is as follows:

[0048]

[0049] In the formula, Indicates at location The pixel difference value on ; represents the pixel value at the i-th row and j-th column in the reference video; R represents the image data in the normal state; Indicates the pixel value at the i-th row and j-th column in the fault video; F represents the image data that may have a fault or abnormal state;

[0050] When an abnormal point appears, the fault supplement module 303 collects the change characteristics of the abnormal point as a supplementary real-time fault feature, and the online feature comparison module 202 checks the rule positioning of the supplementary real-time fault feature, and the fault rough fault module 203 performs a fault assessment of the substation equipment as the final fault assessment result of the substation equipment;

[0051] When no abnormal point occurs, the preliminary fault assessment of the substation equipment is used as the final fault assessment of the substation equipment.

[0052] The beneficial effects of the present invention are:

[0053] The substation equipment operation status assessment system based on fault recording analysis divides the monitoring areas of different substation equipment. After recording the fault recording information, it locates the corresponding monitoring area of ​​the substation equipment, and implements a preliminary status assessment of the substation equipment based on the fault recording information. By establishing a fault inspection rule library, it can retrieve the inspection rules of the substation equipment in the substation equipment monitoring area. Combined with video monitoring, it captures abnormal points according to the inspection rules as supplementary data for the preliminary status assessment, and realizes the final fault assessment of the substation equipment. The data source is more real and comprehensive, and the assessment result is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0055] Figure 1 It is a system principle block diagram of the present invention.

[0056] In the figure: 1. SOE recording unit; 101. Fault location module; 102. Recording data indexing module; 103. Data comparison module; 104. Change feature determination module; 2. Fault assessment unit; 201. Inspection rule construction module; 202. Online feature comparison module; 203. Fault rough diagnosis module; 3. Collaborative self-inspection unit; 301. Fault monitoring module; 302. Image comparison module; 303. Fault supplement module. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings of the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without creative work are within the scope of protection of the present invention.

[0058] Example 1

[0059] The substation equipment operation status evaluation system based on fault recording analysis includes an SOE recording unit 1 and a fault evaluation unit 2. The SOE recording unit 1 is connected with the fault evaluation unit 2 for information transmission; the SOE recording unit 1 is used to divide the substation equipment monitoring area and locate the substation equipment monitoring area for recording fault recording information; the fault evaluation unit 2 is used to perform a preliminary fault evaluation of the substation equipment based on the fault recording information. The SOE recording unit 1 is responsible for monitoring the substation equipment and collecting and analyzing the fault recording information, and the fault evaluation unit 2 uses the fault recording information to perform a preliminary fault evaluation of the substation equipment. The two units realize real-time transmission and processing of information through a data information transmission connection.

[0060] Specifically, the SOE recording unit 1 includes a fault location module 101 , a recorded data index module 102 , a data comparison module 103 and a change feature determination module 104 .

[0061] The fault location module 101 is used to divide the substation equipment into areas and number and sort them as substation equipment monitoring areas, and is also used to store fault recording information of the substation equipment monitoring areas and locate the corresponding substation equipment monitoring areas when recording fault recording information.

[0062] The fault location module 101 is connected to the recording data indexing module 102 for information transmission; the recording data indexing module 102 is used to retrieve the electrical quantity data before and after the fault of the corresponding substation equipment from the fault recording information according to the information of the substation equipment in the monitoring area of ​​the located substation equipment.

[0063] The recording data index module 102 is connected to the data comparison module 103 for information transmission; the data comparison module 103 is used to compare the difference between the electrical quantity data before the fault and the electrical quantity data after the fault.

[0064] The data comparison module 103 is connected to the change characteristic determination module 104 for information transmission; the change characteristic determination module 104 is used to determine the change characteristics of the electrical quantity according to the difference comparison result as a real-time fault feature.

[0065] The fault assessment unit 2 in this embodiment includes an inspection rule construction module 201 , an online feature comparison module 202 and a fault rough diagnosis module 203 .

[0066] The inspection rule construction module 201 is used to analyze fault characteristics and corresponding inspection rules based on historical substation equipment failure cases, and to build inspection rules corresponding to the fault characteristics together with operation and maintenance personnel, equipment personnel and management experts as a fault inspection rule library.

[0067] The inspection rule construction module 201 is connected to the online feature comparison module 202 for information transmission, and the change feature determination module 104 is connected to the online feature comparison module 202 for information transmission; the online feature comparison module 202 is used to compare the real-time fault features with the fault features in the fault inspection rule library online, and locate the inspection rules corresponding to the real-time fault features.

[0068] The online feature comparison module 202 is connected to the rough fault diagnosis module 203 for information transmission; the rough fault diagnosis module 203 is used to establish a fault type library according to historical fault features, and to perform preliminary fault assessment of the substation equipment according to real-time fault features.

[0069] Initial fault assessment includes: Fault Assessment Index Calculation; the calculation formula is as follows:

[0070]

[0071] In the formula, It is a fault assessment index used to quantify the severity of equipment failure; is the total number of fault types in the fault type library; is the real-time fault feature vector and the fault feature library Similarity of fault types; is the real-time fault feature vector; The fault feature library Fault type; is the base of natural logarithms, approximately equal to 2.71828; is an adjustment factor used to control the weight of the distance metric in the probability calculation; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; The fault feature library Fault type; For the The severity factor of each fault type.

[0072] In this embodiment, the substation equipment operating status assessment system based on fault recording analysis can effectively assess the operating status of the substation equipment through automated processing and analysis of fault recording information, and can also call out corresponding inspection rules to provide important data support for equipment maintenance and management, thus facilitating operation and maintenance personnel to repair faults.

[0073] Example 2

[0074] As an improvement of Example 1, the substation equipment operation status assessment system based on fault recording analysis in this embodiment further includes a collaborative self-checking unit 3, which is used to obtain additional real-time fault features and generate a final fault assessment of the substation equipment.

[0075] Specifically, the collaborative self-checking unit 3 includes a fault monitoring module 301 , an image comparison module 302 and a fault supplementation module 303 .

[0076] The fault location module 101 is connected to the fault monitoring module 301 for information transmission; the fault monitoring module 301 is a video monitor deployed in the substation equipment monitoring area. After the fault location module 101 locates the corresponding substation equipment monitoring area, the substation equipment monitoring area is inspected by video images according to the inspection rules as a fault recording.

[0077] The fault monitoring module 301 is connected to the image comparison module 302 for information transmission; the image comparison module 302 is used to regularly inspect the video images of the monitoring area of ​​the substation equipment as a reference video, and when a fault video occurs, the part of the video corresponding to the inspection rule in the reference video is compared frame by frame with the fault video, and the abnormal point is located and marked.

[0078] The frame-by-frame comparison between the partial video and the fault video includes: difference calculation; the calculation formula is as follows:

[0079]

[0080] In the formula, is the degree of difference; is the size of the grayscale image of the reference video and the fault video; M is the height of the grayscale image of the reference video and the fault video; N is the width of the grayscale image of the reference video and the fault video; For R in position The pixel value on ; A frame image in the reference video; For F in position The pixel value on ; It is the frame image of the fault video at the same time point of the corresponding reference video; i represents the row index currently being processed, from 1 to M; j represents the column index currently being processed, from 1 to N.

[0081] Furthermore, it is necessary to compare the difference D and the similarity threshold T; When the reference video frame is different from the fault video frame, the abnormal pixel point is located; Pixels of are marked as abnormal pixels, where is the threshold of pixel-level difference;

[0082] The calculation formula for abnormal pixel location is as follows:

[0083]

[0084] In the formula, Indicates at location The pixel difference value on ; represents the pixel value at the i-th row and j-th column in the reference video; R represents the image data in the normal state; It represents the pixel value at the i-th row and j-th column in the fault video; F represents the image data that may have a fault or abnormal state.

[0085] The fault rough diagnosis module 203 is connected to the fault supplement module 303 for information transmission, and the image comparison module 302 is connected to the fault supplement module 303 for information transmission; the fault supplement module 303 is used to collect the change characteristics of the abnormal point when an abnormal point appears, as a supplementary real-time fault feature, and the online feature comparison module 202 checks the rule positioning of the supplementary real-time fault feature, and performs the fault assessment of the substation equipment through the fault rough diagnosis module 203 as the final fault assessment result of the substation equipment. The fault supplement module 303 is also used to use the preliminary fault assessment of the substation equipment as the final fault assessment of the substation equipment when no abnormal point appears.

[0086] This embodiment improves the overall performance of the substation equipment fault assessment system through advanced image processing and comparison technology, enhances the early warning capability of equipment hidden dangers, and ensures the safe and stable operation of the substation equipment. The advantage of this embodiment over embodiment 1 is that it provides a further, more comprehensive and accurate fault assessment of the substation equipment according to the inspection rules by using video inspection and image comparison.

[0087] Example 3

[0088] Based on the substation equipment operation status assessment system based on fault recording analysis provided in Example 1 and Example 2; this embodiment provides a method for using the substation equipment operation status assessment system based on fault recording analysis, which specifically includes the following steps:

[0089] S1. Divide the substation equipment into regions and mark them by number and sorting as substation equipment monitoring regions. The fault recording information of the substation equipment monitoring regions is stored in the fault location module 101. When recording the fault recording information, the corresponding substation equipment monitoring region is located. The recording data index module 102 retrieves the electrical quantity data before the fault and the electrical quantity data after the fault of the corresponding substation equipment from the fault recording information according to the information of the substation equipment in the located substation equipment monitoring region. The data comparison module 103 compares the electrical quantity data before the fault and the electrical quantity data after the fault. The change feature determination module 104 determines the change feature of the electrical quantity according to the difference comparison result as the real-time fault feature.

[0090] S2. Analyze the fault characteristics and corresponding inspection rules based on historical substation equipment failure cases, and build inspection rules corresponding to the fault characteristics together with operation and maintenance personnel, equipment personnel and management experts. Store the inspection rules as a fault inspection rule library in the inspection rule building module 201. Online, compare the real-time fault characteristics with the fault characteristics in the fault inspection rule library through the online feature comparison module 202 to locate the inspection rules corresponding to the real-time fault characteristics. The rough fault diagnosis module 203 builds a fault type library based on historical fault characteristics, and performs preliminary fault assessment of the substation equipment based on the real-time fault characteristics:

[0091] The preliminary fault assessment includes: FAI calculation; the calculation formula is as follows:

[0092]

[0093] In the formula, It is a fault assessment index used to quantify the severity of equipment failure; is the total number of fault types in the fault type library; is the real-time fault feature vector and the fault feature library Similarity of fault types; is the real-time fault feature vector; The fault feature library Fault type; is the base of natural logarithms, approximately equal to 2.71828; is an adjustment factor used to control the weight of the distance metric in the probability calculation; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; The fault feature library Fault type; For the The severity factor of each fault type.

[0094] S3, the video monitors deployed in the substation monitoring area regularly inspect the substation monitoring area through the image comparison module 302 as a reference video. After locating the corresponding substation monitoring area in S1, the fault monitoring module 301 inspects the substation monitoring area according to the inspection rules as a fault video. When a fault video appears, the image comparison module 302 compares the part of the video corresponding to the inspection rule in the reference video with the fault video frame by frame, and marks the abnormal point location:

[0095] The frame-by-frame comparison between the partial video and the fault video includes: difference calculation; the calculation formula is as follows:

[0096]

[0097] In the formula, is the degree of difference; is the size of the grayscale image of the reference video and the fault video; M is the height of the grayscale image of the reference video and the fault video; N is the width of the grayscale image of the reference video and the fault video; For R in position The pixel value on ; is a frame image in the reference video; For F in position The pixel value on ; It is the frame image of the fault video at the same time point of the corresponding reference video; i represents the row index currently being processed, from 1 to M; j represents the column index currently being processed, from 1 to N.

[0098] Furthermore, it is necessary to compare the difference D and the similarity threshold T; When the reference video frame is different from the fault video frame, the abnormal pixel point is located; Pixels of are marked as abnormal pixels, where is the threshold of pixel-level difference;

[0099] The calculation formula for abnormal pixel location is as follows:

[0100]

[0101] In the formula, Indicates at location The pixel difference value on ; represents the pixel value at the i-th row and j-th column in the reference video; R represents the image data in the normal state; It represents the pixel value at the i-th row and j-th column in the fault video; F represents the image data that may have a fault or abnormal state.

[0102] When an abnormal point appears, the fault supplement module 303 collects the change characteristics of the abnormal point as a supplementary real-time fault feature, and the online feature comparison module 202 checks the rule positioning of the supplementary real-time fault feature, and the fault rough fault module 203 performs a fault assessment of the substation equipment as the final fault assessment result of the substation equipment;

[0103] When no abnormal point occurs, the preliminary fault assessment of the substation equipment is used as the final fault assessment of the substation equipment.

[0104] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0105] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for using a substation equipment operating status assessment system based on fault recording analysis, characterized in that: A substation equipment operation status assessment system based on fault wave recording analysis comprises an SOE recording unit (1) and a fault assessment unit (2); the SOE recording unit (1) is respectively connected to the fault assessment unit (2) and the collaborative self-checking unit (3) for information transmission; the SOE recording unit (1) divides the substation equipment monitoring area and locates the substation equipment monitoring area for recording fault wave recording information; the fault assessment unit (2) performs a preliminary fault assessment of the substation equipment based on the fault wave recording information; The SOE recording unit (1) comprises a fault location module (101), a wave recording data indexing module (102), a data comparison module (103) and a change feature determination module (104); the fault assessment unit (2) comprises an inspection rule construction module (201), an online feature comparison module (202) and a fault rough diagnosis module (203); the collaborative self-checking unit (3) comprises a fault monitoring module (301), an image comparison module (302) and a fault supplementation module (303); The method for using the substation equipment operating status assessment system based on fault recording analysis comprises the following steps: S1. Divide the substation equipment into areas and mark them by numbering and sorting them as substation equipment monitoring areas. The fault recording information of the substation equipment monitoring areas is stored in a fault location module (101). When recording the fault recording information, the corresponding substation equipment monitoring area is located. The recording data index module (102) retrieves the electrical quantity data before the fault and the electrical quantity data after the fault of the corresponding substation equipment from the fault recording information according to the information of the substation equipment in the located substation equipment monitoring area. The data comparison module (103) performs a difference comparison on the electrical quantity data before the fault and the electrical quantity data after the fault. The change feature determination module (104) determines the change feature of the electrical quantity according to the difference comparison result as a real-time fault feature. S2. Analyze the fault characteristics and corresponding inspection rules based on historical substation equipment failure cases, and build inspection rules corresponding to the fault characteristics together with operation and maintenance personnel, equipment personnel and management experts. The inspection rules are stored in the inspection rule building module (201) as a fault inspection rule library. The real-time fault characteristics are compared with the fault characteristics in the fault inspection rule library through the online feature comparison module (202) to locate the inspection rules corresponding to the real-time fault characteristics. The fault rough diagnosis module (203) builds a fault type library based on the historical fault characteristics, and performs preliminary fault assessment of the substation equipment based on the real-time fault characteristics. The preliminary fault assessment includes: Failure Assessment Index (FAI) calculation; The calculation formula is as follows: ； In the formula, It is a fault assessment index used to quantify the severity of equipment failure; is the total number of fault types in the fault type library; is the real-time fault feature vector and the fault feature library Similarity of fault types; is the real-time fault feature vector; The fault feature library Fault type; is the base of natural logarithm, approximately equal to 2.71828; is an adjustment factor used to control the weight of the distance metric in the probability calculation; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to indicate the dissimilarity between them; is the real-time fault feature vector and the fault feature library The distance measure of the fault types is used to express the dissimilarity between them; Fault signature library Fault type; For the The severity factor of each fault type; S3, the video monitors arranged in the substation equipment monitoring area periodically inspect the video images of the substation equipment monitoring area through the image comparison module (302), and use the video images as reference recordings. After locating the corresponding substation equipment monitoring area in S1, the fault monitoring module (301) inspects the video images of the substation equipment monitoring area according to the inspection rules, and uses the video images as fault recordings. When a fault recording occurs, the image comparison module (302) compares the part of the video corresponding to the inspection rules in the reference video with the fault video frame by frame, and marks the abnormal point location. The frame-by-frame comparison process between the partial video and the fault video includes: difference calculation; The calculation formula is as follows: ； In the formula, is the degree of difference; is the size of the grayscale image of the reference video and the fault video; M is the height of the grayscale image of the reference video and the fault video; N is the width of the grayscale image of the reference video and the fault video; For R in position The pixel value on ; is a frame image in the reference video; For F in position The pixel value on ; It is the frame image of the fault video at the same time point of the corresponding reference video; i represents the row index currently being processed, from 1 to M; j represents the column index currently being processed, from 1 to N; Furthermore, it is necessary to compare the difference D and the similarity threshold T; When the reference video frame is different from the fault video frame, the abnormal pixel point is located; Pixels of are marked as abnormal pixels, where is the threshold of pixel-level difference; The calculation formula for abnormal pixel location is as follows: ； In the formula, Indicates at location The pixel difference value on ; represents the pixel value at the i-th row and j-th column in the reference video; R represents the image data in the normal state; Indicates the pixel value at the i-th row and j-th column in the fault video; F represents the image data that may have a fault or abnormal state; When an abnormal point appears, the fault supplement module (303) collects the change characteristics of the abnormal point as a supplementary real-time fault characteristic, checks the supplementary real-time fault characteristic for rule positioning through the online characteristic comparison module (202), and performs a fault assessment of the substation equipment through the fault rough fault module (203) as the final fault assessment result of the substation equipment; When no abnormal point occurs, the preliminary fault assessment of the substation equipment is used as the final fault assessment of the substation equipment.

2. The method for using the substation equipment operating status assessment system based on fault recording analysis according to claim 1 is characterized in that: The fault location module (101) is connected to the wave recording data index module (102) for information transmission, the wave recording data index module (102) is connected to the data comparison module (103) for information transmission, and the data comparison module (103) is connected to the change feature determination module (104) for information transmission.

3. The method for using the substation equipment operating status assessment system based on fault recording analysis according to claim 2 is characterized in that: The fault location module (101) divides the substation equipment into regions and marks them by number and sorting as substation equipment monitoring regions, and is also used to store fault recording information of the substation equipment monitoring regions, and locate the corresponding substation equipment monitoring regions when recording the fault recording information; The recorded wave data indexing module (102) retrieves the electrical quantity data before and after the fault of the corresponding transformer equipment from the fault recorded wave information according to the information of the transformer equipment in the located transformer equipment monitoring area; The data comparison module (103) performs a difference comparison between the electrical quantity data before the fault and the electrical quantity data after the fault; The change characteristic determination module (104) determines the change characteristic of the electrical quantity according to the difference comparison result as a real-time fault characteristic.

4. The method for using the substation equipment operation status assessment system based on fault recording analysis according to claim 2 is characterized in that: The inspection rule construction module (201) is connected to the online feature comparison module (202) via information transmission, the online feature comparison module (202) is connected to the fault rough diagnosis module (203) via information transmission; and the change feature determination module (104) is connected to the online feature comparison module (202) via information transmission.

5. The method for using the substation equipment operation status assessment system based on fault recording analysis according to claim 4 is characterized in that: The inspection rule construction module (201) analyzes fault characteristics and corresponding inspection rules based on historical substation equipment fault cases, and constructs inspection rules corresponding to the fault characteristics together with operation and maintenance personnel, equipment personnel and management experts as a fault inspection rule library; The online feature comparison module (202) compares the real-time fault feature with the fault feature in the fault inspection rule library online, and locates the inspection rule corresponding to the real-time fault feature; The fault rough diagnosis module (203) establishes a fault type library according to historical fault characteristics, and performs preliminary fault assessment of the substation equipment according to real-time fault characteristics.

6. The method for using the substation equipment operation status assessment system based on fault recording analysis according to claim 1 is characterized in that: The fault assessment unit (2) is connected to the collaborative self-checking unit (3) for information transmission, and the collaborative self-checking unit (3) obtains supplementary real-time fault characteristics and generates a final fault assessment of the power transformation equipment; The fault monitoring module (301) is connected to the image comparison module (302) for information transmission, and the image comparison module (302) is connected to the fault supplementation module (303) for information transmission; the fault location module (101) is connected to the fault monitoring module (301) for information transmission; and the fault rough diagnosis module (203) is connected to the fault supplementation module (303) for information transmission.

7. The method for using the substation equipment operating status assessment system based on fault recording analysis according to claim 6 is characterized in that: The fault monitoring module (301) is a video monitor arranged in the substation equipment monitoring area. After the fault location module (101) locates the corresponding substation equipment monitoring area, the fault monitoring module (301) performs a video inspection of the substation equipment monitoring area according to the inspection rules as a fault video recording; The image comparison module (302) regularly inspects the video images of the substation monitoring area as a reference video, and when a fault video occurs, compares the part of the video corresponding to the inspection rule in the reference video with the fault video frame by frame, and marks the abnormal point location; When an abnormal point appears, the fault supplement module (303) collects the change characteristics of the abnormal point as a supplementary real-time fault characteristic, checks the supplementary real-time fault characteristic through the online characteristic comparison module (202), and performs a fault assessment of the substation equipment through the fault rough diagnosis module (203) as a final fault assessment result of the substation equipment; the fault supplement module (303) also uses the preliminary fault assessment of the substation equipment as the final fault assessment of the substation equipment when no abnormal point appears.

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