Power transformation equipment tripping fault processing decision-making system based on field risk factor analysis

Abstract

The invention relates to the technical field of power grid fault processing, and discloses a power transformation equipment tripping fault processing decision-making system based on field risk factor analysis, which comprises a fault processing platform consisting of a data sensing integration unit, a fault analysis unit, a node processing unit and an operation and maintenance response unit. According to the substation equipment tripping fault processing decision-making system based on field risk factor analysis, a fault analysis path is provided for troubleshooting through time sequence recording when a fault occurs, and accurate troubleshooting of the equipment fault is realized through analysis and comparison of equipment operation parameters in a mode of drawing up a fault node, so that the fault processing decision-making efficiency is improved. And through the arrangement of the auxiliary strategy library, equipment maintenance is performed according to the corresponding preset emergency plan when the fault of the corresponding type occurs, so that the fault can be timely maintained while the fault positioning is accurate, and good use experience is provided for a user.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid fault processing, and in particular to a substation tripping fault processing decision system based on on-site risk factor analysis. Background Art

[0002] In daily life, when there are too many users on power lines, power line tripping is prone to occur. Generally, power line tripping is a self-protection measure for power lines. And because equipment tripping occurs from time to time, tripping not only brings losses to power supply companies, but also has a huge impact on residents' daily life and industrial enterprises' production, seriously affecting the customer experience of power supply companies.

[0003] When tripping faults occur frequently, it is easy to cause cascading tripping. Such cascading faults can often only be troubleshooted manually, which has low troubleshooting efficiency and cannot predict possible faults before the tripping fault occurs. Once a tripping fault occurs, it is often impossible to repair the fault in a timely and effective manner. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a substation tripping fault processing decision system based on on-site risk factor analysis to solve the problems raised in the above-mentioned background technology.

[0005] The technical solution adopted by the present invention is:

[0006] 11. A substation tripping fault processing decision system based on on-site risk factor analysis, characterized in that it comprises a fault processing platform (1); the fault processing platform (1) comprises a data perception integration unit (2), a fault analysis unit (3), a node processing unit (4) and an operation and maintenance response unit (5);

[0007] The data perception integration unit (2) is connected to the fault analysis unit (3) for information transmission, the fault analysis unit (3) is connected to the node processing unit (4) for information transmission, and the node processing unit (4) is connected to the operation and maintenance response unit (5) for information transmission.

[0008] 12. According to claim 1, a substation tripping fault processing decision system based on on-site risk factor analysis, it is characterized in that: the data perception integration unit (2) includes an SOE storage module (201), a remote signaling and telemetry module (202), two data recording modules (203), a data integration module (204) and a timing analysis and comparison module (205); the SOE storage module (201), the remote signaling and telemetry module (202) and the two data recording modules (203) are all connected to the data integration module (204) for information transmission, and the data integration module (204) is connected to the timing analysis and comparison module (205) for information transmission.

[0009] 13. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 2 is characterized in that: the SOE storage module (201) records the key events before and after the equipment tripping and their corresponding times as time series data; the remote signaling and telemetry module (202) obtains the real-time operating parameters of the equipment; the two-ticket data recording module (203) records the work ticket and operation ticket information as manual operation information; the data integration module (204) integrates the time series data, real-time operating parameters, and manual operation information of the same time in a consistent manner as reference associated data; the time series analysis and comparison module (205) stores the real-time reference associated data and the historical reference associated data, and performs a difference comparison between the real-time reference associated data and the historical reference associated data.

[0010] 14. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 3 is characterized in that: the fault analysis unit (3) includes a timing analysis module (301), a propagation analysis module (302) and an association analysis module (303); the timing analysis module (301) is connected to the propagation analysis module (302) for information transmission, and the propagation analysis module (302) is connected to the association analysis module (303) for information transmission.

[0011] 15. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 4 is characterized in that: when the substation trips, the timing analysis module (301) obtains the tripping sequence of key events in the timing data; the propagation analysis module (302) determines the fault propagation sequence according to the tripping sequence; the association analysis module (303) takes the line direct connection area where the tripping point is located as the fault node, and generates the corresponding fault node fault analysis path according to the propagation sequence.

[0012] 16. According to claim 5, the substation tripping fault handling decision system based on on-site risk factor analysis is characterized in that: the node processing unit (4) includes a telemetry data screening module (401), a data analysis module (402), a fault analysis and update module (403) and a fault processing library (404); the telemetry data screening module (401) is connected to the data analysis module (402) for information transmission, the data analysis module (402) is connected to the fault analysis and update module (403) for information transmission, and the fault analysis and update module (403) is connected to the fault processing library (404) for information transmission.

[0013] 17. The substation tripping fault processing decision system based on on-site risk factor analysis according to claim 6 is characterized in that: the telemetry data screening module (401) screens the real-time operating parameters of the equipment in the area where the fault node is located as fault analysis parameter data; the data analysis module (402) divides the fault analysis parameter data into pre-fault parameter data and post-fault parameter data; the fault processing library (404) establishes a fault feature and fault type reference library according to the fault features and fault types corresponding to the historical transportation parameter changes; the fault analysis and updating module (403) is used to search for the corresponding fault type from the fault processing library (404) according to the change characteristics of the pre-fault parameter data and the post-fault parameter data;

[0014] The algorithm for the fault analysis and updating module (403) to search for the corresponding fault type from the fault processing library (404) is as follows:

[0015]

[0016] Where Δf is the characteristic change vector of the current fault; Δf i is the change of the i-th parameter before and after the fault; Δf j is the characteristic vector of a specific known fault type j; Δf ji is the characteristic change vector of the jth known fault in the fault processing library; Similarity(Δf, Δf j ) is the similarity measure;

[0017] The lower the similarity measure, the higher the similarity; that is, after obtaining the similarity measure, the known fault with the lowest similarity measure is selected as the currently occurring fault.

[0018] 18. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 7 is characterized in that: the operation and maintenance response unit (5) includes an inspection setting module (501), an auxiliary strategy library (502) and a plan response module (503); the auxiliary strategy library (502) and the plan response module (503) are connected for information transmission; the inspection setting module (501) and the data analysis module (402) are connected for information transmission, and the fault analysis and update module (403) and the auxiliary strategy library (502) are connected for information transmission.

[0019] 19. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 8 is characterized in that: the inspection setting module (501) sets the fault prediction inspection task dispatching period, and when the fault prediction inspection task dispatching period is reached, sends a parameter fault analysis instruction to the data analysis module (402); when receiving the parameter fault analysis instruction, the data analysis module (402) divides the parameters to be inspected into real-time parameters and historical parameters, and performs fault type comparison through the fault processing library (404), and issues a fault warning when the comparison result reaches a preset standard; the auxiliary strategy library (502) establishes an emergency plan corresponding to the fault type, and after the fault analysis and update module (403) searches for the corresponding fault type from the fault processing library (404), it searches for the corresponding emergency plan according to the fault type; the plan response module (503) dispatches the emergency plan to the operation and maintenance end, and performs equipment operation and maintenance inspection according to the emergency plan.

[0020] 20. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 9 is characterized in that the method of using the system specifically comprises the following steps:

[0021] S1, the SOE storage module (201) records the key events before and after the equipment trips and their corresponding times as time series data, the remote signaling and telemetry module (202) obtains the real-time operating parameters of the equipment, the two-ticket data recording module (203) records the work ticket and operation ticket information as manual operation information, the data integration module (204) integrates the time series data, real-time operating parameters, and manual operation information at the same time as reference associated data, and the time series analysis and comparison module (205) stores the real-time reference associated data and the historical reference associated data, and compares the differences between the real-time reference associated data and the historical reference associated data;

[0022] S2. When the substation equipment trips, the time sequence analysis module (301) obtains the trip sequence of the key events in the time sequence data, the propagation analysis module (302) determines the fault propagation sequence according to the trip sequence, the association analysis module (303) takes the line direct connection area where the trip point is located as the fault node, and generates the corresponding fault analysis path of the fault node according to the propagation sequence. The telemetry data screening module (401) screens the real-time operating parameters of the equipment in the area where the fault node is located as the fault analysis parameter data, and then goes to S4;

[0023] S3, the inspection setting module (501) is used to set the fault prediction inspection task dispatching period, and when the fault prediction inspection task dispatching period is reached, it sends a parameter fault analysis instruction to the data analysis module (402), and then goes to S4;

[0024] S4. A reference library of fault characteristics and fault types is established based on the fault characteristics and fault types corresponding to the historical transportation parameter changes, and stored in the fault processing library (404). The data analysis module (402) divides the fault analysis parameter data into pre-fault parameter data and post-fault parameter data. The fault analysis and updating module (403) searches for the corresponding fault type from the fault processing library (404) based on the change characteristics of the pre-fault parameter data and the post-fault parameter data.

[0025]

[0026] Where Δf is the characteristic change vector of the current fault; Δf i is the change of the i-th parameter before and after the fault; Δf j is the characteristic vector of a specific known fault type j; Δf ji is the characteristic change vector of the jth known fault in the fault processing library; Similarity(Δf, Δf j ) is the similarity measure;

[0027] After the data analysis module (402) receives the parameter fault analysis instruction, the parameters to be inspected are divided into real-time parameters and historical parameters, and the fault type is compared through the fault processing library (404). When the comparison result with the fault type reaches a preset standard, a fault warning is issued;

[0028] S5. Establish an emergency plan corresponding to the fault type and store it in the auxiliary strategy library (502). After the fault analysis and update module (403) searches for the corresponding fault type from the fault processing library (404), search for the corresponding emergency plan according to the fault type. The plan response module (503) distributes the emergency plan to the operation and maintenance end, and performs equipment operation and maintenance according to the emergency plan.

[0029] The beneficial effects of the present invention are:

[0030] (1) The present invention provides a fault analysis path for troubleshooting by recording in time sequence when a fault occurs, and achieves accurate troubleshooting of equipment faults by proposing fault nodes and analyzing and comparing equipment operating parameters. In addition, through the setting of an auxiliary strategy library, when a corresponding type of fault occurs, equipment maintenance is carried out in accordance with the corresponding preset emergency plan. While accurately locating the fault, the fault can be repaired in a timely manner, providing users with a good user experience.

[0031] (2) The present invention implements regular inspection and detection of equipment operating parameters by setting the time period for dispatching fault prediction inspection tasks, and can provide early warning of the equipment operating status when a fault occurs, thereby achieving the purpose of repairing abnormal conditions before a fault occurs, further improving the user experience.

[0032] (3) The present invention provides a reference for determining whether a line fault is caused by human factors by recording the operation ticket and work ticket information, and provides accurate and reliable reference data for determining the cause of the line fault by integrating data consistency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] 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.

[0034] Figure 1 It is a system principle block diagram of the present invention;

[0035] Figure 2 It is a system principle block diagram of the data perception integration unit of the present invention;

[0036] Figure 3 It is a system principle block diagram of the fault analysis unit of the present invention;

[0037] Figure 4 It is a system principle block diagram of the node processing unit and the operation and maintenance response unit of the present invention;

[0038] In the figure: 1. Fault handling platform; 2. Data perception and integration unit; 201. SOE storage module; 202. Telesignaling and telemetry module; 203. Two-ticket data recording module; 204. Data integration module; 205. Timing analysis and comparison module; 3. Fault analysis unit; 301. Timing analysis module; 302. Propagation analysis module; 303. Correlation analysis module; 4. Node processing unit; 401. Telemetry data screening module; 402. Data analysis module; 403. Fault diagnosis and update module; 404. Fault handling library; 5. Operation and maintenance response unit; 501. Inspection setting module; 502. Auxiliary strategy library; 503. Plan response module. DETAILED DESCRIPTION

[0039] 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.

[0040] Example 1

[0041] This embodiment provides a substation tripping fault processing decision system based on on-site risk factor analysis, such as Figure 1As shown, the substation tripping fault processing decision system based on on-site risk factor analysis includes a fault processing platform 1 composed of a data perception integration unit 2, a fault analysis unit 3, a node processing unit 4 and an operation and maintenance response unit 5.

[0042] The specific structure and function of each unit are as follows:

[0043] Data Awareness Integration Unit 2:

[0044] like Figure 2 As shown, the data sensing integration unit 2 includes an SOE storage module 201, a telesignal and telemetry module 202, a two-ticket data recording module 203, a data integration module 204, and a time series analysis and comparison module 205. Among them, the SOE storage module 201 is used to record the key events before and after the equipment trips and their corresponding times as time series data; among them, the telesignal and telemetry module 202 is used to obtain the real-time operating parameters of the equipment; and the two-ticket data recording module 203 is used to record the work ticket and operation ticket information as manual operation information.

[0045] The SOE storage module 201, the telesignaling and telemetry module 202 and the two-ticket data recording module 203 are all connected to the data integration module 204 for information transmission. The data integration module 204 is used to consistently integrate the time series data, real-time operating parameters, and manual operation information of the same time as reference related data.

[0046] The data integration module 204 is connected to the time series analysis and comparison module 205 for information transmission. The time series analysis and comparison module 205 is used to store the real-time reference association data and the historical reference association data, and to compare the differences between the real-time reference association data and the historical reference association data.

[0047] Fault Analysis Unit 3:

[0048] The data sensing integration unit 2 is connected to the fault analysis unit 3 for information transmission; Figure 3 As shown, the fault analysis unit 3 includes a timing analysis module 301, a propagation analysis module 302 and an association analysis module 303. Among them, the timing analysis module 301 is used to obtain the tripping sequence of key events in the timing data when the substation trips. The timing analysis module 301 is connected to the propagation analysis module 302 for information transmission, and the propagation analysis module 302 is used to determine the fault propagation sequence according to the tripping sequence. The propagation analysis module 302 is connected to the association analysis module 303 for information transmission, and the association analysis module 303 is used to take the line direct connection area where the tripping point is located as the fault node, and generate the corresponding fault node fault analysis path according to the propagation sequence.

[0049] Node processing unit 4:

[0050] The fault analysis unit 3 is connected to the node processing unit 4 for information transmission; Figure 4 As shown, the node processing unit 4 includes a telemetry data screening module 401, a data analysis module 402, a fault analysis and updating module 403 and a fault processing library 404.

[0051] Among them, the telemetry data screening module 401 is used to screen the real-time operating parameters of the equipment in the area where the fault node is located as fault analysis parameter data; the telemetry data screening module 401 is connected with the data analysis module 402 for information transmission, and the data analysis module 402 is used to divide the fault analysis parameter data into pre-fault parameter data and post-fault parameter data.

[0052] The fault analysis and updating module 403 is connected to the fault processing library 404 for information transmission. The fault processing library 404 is used to establish a reference library of fault characteristics and fault types according to the fault characteristics and fault types corresponding to the historical transportation parameter changes.

[0053] The data analysis module 402 is connected to the fault analysis and updating module 403 for information transmission. The fault analysis and updating module 403 is used to search for the corresponding fault type from the fault processing library 404 according to the change characteristics of the pre-fault parameter data and the post-fault parameter data.

[0054] Furthermore, the algorithm for the fault analysis and updating module 403 to search for the corresponding fault type from the fault processing library 404 is as follows:

[0055]

[0056] Where Δf is the characteristic change vector of the current fault, Δf = (Δf1, Δf2, … Δf n );Δf i is the change of the i-th parameter before and after the fault; Δf j is the characteristic vector of a specific known fault type j; Δf ji is the characteristic change vector of the jth known fault in the fault processing library 404, Δf ji =(Δf j1 , Δf j2 , …Δf jn ); Similarity(Δf, Δf j ) is the similarity measure, Similarity(Δf, Δf j )∈[0,1], the lower the similarity measure, the higher the similarity, that is, after obtaining the similarity measure, the known fault with the lowest similarity measure is selected as the current fault.

[0057] Operation and maintenance response unit 5:

[0058] The node processing unit 4 is connected to the operation and maintenance response unit 5 for information transmission; Figure 4 As shown, the operation and maintenance response unit 5 includes an auxiliary strategy library 502 and a plan response module 503. Among them, the auxiliary strategy library 502 is used to establish an emergency plan corresponding to the fault type. After the fault analysis and update module 403 searches for the corresponding fault type from the fault processing library 404, the corresponding emergency plan is searched according to the fault type. The auxiliary strategy library 502 is connected to the plan response module 503 for information transmission. The plan response module 503 is used to distribute the emergency plan to the operation and maintenance end, and perform equipment operation and maintenance according to the emergency plan.

[0059] Example 2

[0060] This embodiment is an improvement of the first embodiment. In the substation tripping fault processing decision system based on on-site risk factor analysis provided by this embodiment, Figure 4 As shown, the operation and maintenance response unit 5 also includes an inspection setting module 501. The inspection setting module 501 is used to set the fault prediction inspection task dispatching period, and when the fault prediction inspection task dispatching period is reached, send a parameter fault analysis instruction to the data analysis module 402;

[0061] The inspection setting module 501 is connected to the data analysis module 402 for information transmission, and the fault analysis and update module 403 is connected to the auxiliary strategy library 502 for information transmission. The data analysis module 402 is used to divide the parameters to be inspected into real-time parameters and historical parameters when receiving parameter fault analysis instructions, and perform fault type comparison through the fault processing library 404. When the comparison result reaches the preset standard, a fault warning is issued.

[0062] Compared with Example 1, the substation tripping fault processing decision system based on on-site risk factor analysis provided in this embodiment has the advantage that it can also realize fault warning before the fault occurs.

[0063] Example 3

[0064] Based on the substation tripping fault processing decision system based on on-site risk factor analysis provided in Example 1 and Example 2, this embodiment provides a method for using the substation tripping fault processing decision system based on on-site risk factor analysis, which specifically includes the following steps:

[0065] S1, SOE storage module 201 records the key events before and after the equipment trips and their corresponding times as time series data, the telesignaling and telemetry module 202 obtains the real-time operating parameters of the equipment, the two-ticket data recording module 203 records the work ticket and operation ticket information as manual operation information, the data integration module 204 integrates the time series data, real-time operating parameters, and manual operation information of the same time as reference associated data, the time series analysis and comparison module 205 stores the real-time reference associated data and the historical reference associated data, and compares the differences between the real-time reference associated data and the historical reference associated data;

[0066] S2. When the substation equipment trips, the timing analysis module 301 obtains the tripping sequence of the key events in the timing data, the propagation analysis module 302 determines the fault propagation sequence according to the tripping sequence, the association analysis module 303 takes the line direct connection area where the tripping point is located as the fault node, and generates the corresponding fault analysis path of the fault node according to the propagation sequence. The telemetry data screening module 401 screens the real-time operating parameters of the equipment in the area where the fault node is located as the fault analysis parameter data, and then goes to S4;

[0067] S3, the inspection setting module 501 is used to set the fault prediction inspection task dispatching period, and when the fault prediction inspection task dispatching period is reached, it sends a parameter fault analysis instruction to the data analysis module 402, and then goes to S4;

[0068] S4. According to the fault characteristics and fault types corresponding to the historical transportation parameter changes, a fault characteristic and fault type reference library is established and stored in the fault processing library 404. The data analysis module 402 divides the fault analysis parameter data into pre-fault parameter data and post-fault parameter data. The fault analysis and update module 403 searches for the corresponding fault type from the fault processing library 404 according to the change characteristics of the pre-fault parameter data and the post-fault parameter data;

[0069] Furthermore, the algorithm for the fault analysis and updating module 403 to search for the corresponding fault type from the fault processing library 404 is as follows:

[0070]

[0071] Where Δf is the characteristic change vector of the current fault, Δf = (Δf1, Δf2, … Δf n );Δf i is the change of the i-th parameter before and after the fault; Δf j is the characteristic vector of a specific known fault type j; Δf ji is the characteristic change vector of the jth known fault in the fault processing library 404, Δf ji =(Δf j1 , Δf j2 , …Δfjn ); Similarity(Δf, Δf j ) is the similarity measure, Similarity(Δf, Δf j )∈[0,1], the lower the similarity measure, the higher the similarity, that is, after obtaining the similarity measure, the known fault with the lowest similarity measure is selected as the current fault;

[0072] After receiving the parameter fault analysis instruction, the data analysis module 402 divides the parameters to be inspected into real-time parameters and historical parameters, and performs fault type comparison through the fault processing library 404. When the comparison result with the fault type reaches the preset standard, a fault warning is issued;

[0073] S5. Establish an emergency plan corresponding to the fault type and store it in the auxiliary strategy library 502. After the fault analysis and update module 403 searches for the corresponding fault type from the fault processing library 404, search for the corresponding emergency plan according to the fault type. The plan response module 503 distributes the emergency plan to the operation and maintenance end, and performs equipment operation and maintenance according to the emergency plan.

[0074] 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.

[0075] 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 substation equipment tripping fault handling decision system based on on-site risk factor analysis, characterized by: It comprises a fault processing platform (1); the fault processing platform (1) comprises a data perception integration unit (2), a fault analysis unit (3), a node processing unit (4) and an operation and maintenance response unit (5); The data perception integration unit (2) is connected to the fault analysis unit (3) for information transmission, the fault analysis unit (3) is connected to the node processing unit (4) for information transmission, and the node processing unit (4) is connected to the operation and maintenance response unit (5) for information transmission.

2. According to claim 1, the substation tripping fault handling decision system based on on-site risk factor analysis is characterized by: The data sensing integration unit (2) comprises an SOE storage module (201), a remote signaling and telemetry module (202), two data recording modules (203), a data integration module (204) and a time series analysis and comparison module (205); the SOE storage module (201), the remote signaling and telemetry module (202) and the two data recording modules (203) are all connected to the data integration module (204) for information transmission, and the data integration module (204) is connected to the time series analysis and comparison module (205) for information transmission.

3. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 2 is characterized in that: The SOE storage module (201) records key events before and after the equipment trips and their corresponding times as time series data; the remote signaling and telemetry module (202) obtains the real-time operating parameters of the equipment; the two-ticket data recording module (203) records the work ticket and operation ticket information as manual operation information; the data integration module (204) integrates the time series data, real-time operating parameters, and manual operation information at the same time in a consistent manner as reference associated data; the time series analysis and comparison module (205) stores the real-time reference associated data and the historical reference associated data, and performs a difference comparison between the real-time reference associated data and the historical reference associated data.

4. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 3 is characterized by: The fault analysis unit (3) comprises a timing analysis module (301), a propagation analysis module (302) and an association analysis module (303); the timing analysis module (301) is connected to the propagation analysis module (302) by information transmission, and the propagation analysis module (302) is connected to the association analysis module (303) by information transmission.

5. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 4 is characterized by: When a substation trips, the timing analysis module (301) obtains the tripping sequence of key events in the timing data; the propagation analysis module (302) determines the fault propagation sequence according to the tripping sequence; and the association analysis module (303) uses the line direct connection area where the tripping point is located as a fault node, and generates a corresponding fault node fault analysis path according to the propagation sequence.

6. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 5 is characterized by: The node processing unit (4) includes a telemetry data screening module (401), a data analysis module (402), a fault analysis and updating module (403) and a fault processing library (404); the telemetry data screening module (401) is connected to the data analysis module (402) for information transmission, the data analysis module (402) is connected to the fault analysis and updating module (403) for information transmission, and the fault analysis and updating module (403) is connected to the fault processing library (404) for information transmission.

7. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 6 is characterized by: The telemetry data screening module (401) screens the real-time operating parameters of the equipment in the area where the fault node is located as fault analysis parameter data; the data analysis module (402) divides the fault analysis parameter data into pre-fault parameter data and post-fault parameter data; The fault processing library (404) establishes a fault feature and fault type reference library according to the fault features and fault types corresponding to the historical transportation parameter changes; the fault analysis and updating module (403) is used to search for the corresponding fault type from the fault processing library (404) according to the change features of the parameter data before the fault and the parameter data after the fault; The algorithm for the fault analysis and updating module (403) to search for the corresponding fault type from the fault processing library (404) is as follows: Where Δf is the characteristic change vector of the current fault; Δf i is the change of the i-th parameter before and after the fault; Δf j is the characteristic vector of a specific known fault type j; Δf ji is the characteristic change vector of the jth known fault in the fault processing library; Similarity(Δf, Δf j ) is the similarity measure; The lower the similarity metric, the higher the similarity; That is, after obtaining the similarity measure, the known fault with the lowest similarity measure is selected as the currently occurring fault.

8. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 7 is characterized by: The operation and maintenance response unit (5) comprises an inspection setting module (501), an auxiliary strategy library (502) and an emergency plan response module (503); the auxiliary strategy library (502) is connected to the emergency plan response module (503) for information transmission; the inspection setting module (501) is connected to the data analysis module (402) for information transmission, and the fault analysis and update module (403) is connected to the auxiliary strategy library (502) for information transmission.

9. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 8 is characterized by: The inspection setting module (501) sets a time period for dispatching fault prediction inspection tasks, and when the time period for dispatching fault prediction inspection tasks is reached, sends a parameter fault analysis instruction to the data analysis module (402); when receiving the parameter fault analysis instruction, the data analysis module (402) divides the parameters to be inspected into real-time parameters and historical parameters, and compares the fault types through the fault processing library (404), and issues a fault warning when the comparison result reaches a preset standard; the auxiliary strategy library (502) establishes an emergency plan corresponding to the fault type, and after the fault analysis and update module (403) searches for the corresponding fault type from the fault processing library (404), it searches for the corresponding emergency plan according to the fault type; the plan response module (503) dispatches the emergency plan to the operation and maintenance end, and performs equipment operation and maintenance inspection according to the emergency plan.

10. The substation tripping fault handling decision system based on on-site risk factor analysis according to claim 9 is characterized in that: The method of using the system specifically includes the following steps: S1, the SOE storage module (201) records the key events before and after the equipment trips and their corresponding times as time series data, the remote signaling and telemetry module (202) obtains the real-time operating parameters of the equipment, the two-ticket data recording module (203) records the work ticket and operation ticket information as manual operation information, the data integration module (204) integrates the time series data, real-time operating parameters, and manual operation information at the same time as reference associated data, and the time series analysis and comparison module (205) stores the real-time reference associated data and the historical reference associated data, and compares the differences between the real-time reference associated data and the historical reference associated data; S2. When the substation equipment trips, the time sequence analysis module (301) obtains the trip sequence of the key events in the time sequence data, the propagation analysis module (302) determines the fault propagation sequence according to the trip sequence, the association analysis module (303) takes the line direct connection area where the trip point is located as the fault node, and generates the corresponding fault analysis path of the fault node according to the propagation sequence. The telemetry data screening module (401) screens the real-time operating parameters of the equipment in the area where the fault node is located as the fault analysis parameter data, and then goes to S4; S3, the inspection setting module (501) is used to set the fault prediction inspection task dispatching period, and when the fault prediction inspection task dispatching period is reached, it sends a parameter fault analysis instruction to the data analysis module (402), and then goes to S4; S4. A reference library of fault characteristics and fault types is established based on the fault characteristics and fault types corresponding to the historical transportation parameter changes, and stored in the fault processing library (404). The data analysis module (402) divides the fault analysis parameter data into pre-fault parameter data and post-fault parameter data. The fault analysis and updating module (403) searches for the corresponding fault type from the fault processing library (404) based on the change characteristics of the pre-fault parameter data and the post-fault parameter data. Where Δf is the characteristic change vector of the current fault; Δf i is the change of the i-th parameter before and after the fault; Δf j is the characteristic vector of a specific known fault type j; Δf ji is the characteristic change vector of the jth known fault in the fault processing library; Similarity(Δf, Δf j ) is the similarity measure; After the data analysis module (402) receives the parameter fault analysis instruction, the parameters to be inspected are divided into real-time parameters and historical parameters, and the fault type is compared through the fault processing library (404). When the comparison result with the fault type reaches a preset standard, a fault warning is issued; S5. Establish an emergency plan corresponding to the fault type and store it in the auxiliary strategy library (502). After the fault analysis and update module (403) searches for the corresponding fault type from the fault processing library (404), search for the corresponding emergency plan according to the fault type. The plan response module (503) distributes the emergency plan to the operation and maintenance end, and performs equipment operation and maintenance according to the emergency plan.

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