Distribution network operation and maintenance management method and system

Abstract

The invention provides a distribution network operation and maintenance management method and system, and belongs to the technical field of operation and maintenance management. The operation load acquisition module is responsible for acquiring operation load data of power transmission lines in different power distribution areas in the power distribution network, and the operation and maintenance strategy output module is responsible for determining operation and maintenance processing strategies of the power distribution areas according to the operation load data of the power transmission lines in the different power distribution areas in the power distribution network and environment temperatures. And the reliability of operation and maintenance processing is improved.

Description

Technical Field

[0001] This invention belongs to the field of operation and maintenance management technology, and in particular relates to a distribution network operation and maintenance management method and system. Background Technology

[0002] Compared to the main grid, the distribution network is directly connected to the user side, which results in a large distribution area and many potential faults. Therefore, it is often difficult to carry out the operation and maintenance of the distribution network by means of manpower, and it is difficult to identify potential faults.

[0003] To achieve operation and maintenance management of the distribution network, the invention patent application CN201610906827.8, "An Automatic Terminal Access and Configuration Management Method," proposes setting up monitoring terminals in the distribution network. This significantly reduces the manpower required for the construction and operation and maintenance of distribution automation projects, improves the efficiency and automation level of distribution automation operation and maintenance management, and supports the lean development of distribution network operation and maintenance management. However, the following technical problems exist: During the operation and maintenance of distribution networks, due to the deviation of external temperature, such as summer versus winter, even if the distribution network is operating under the same load, the risk of power equipment failure in the distribution network will differ. Therefore, using the same operation and maintenance management strategy for different seasons cannot guarantee the operational reliability of the distribution network.

[0004] To address the aforementioned technical issues, this application proposes a distribution network operation and maintenance management method and system. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, in the first aspect, this application provides a power distribution network operation and maintenance management system, which specifically includes: Ambient temperature acquisition module, running load acquisition module, operation and maintenance strategy output module; The ambient temperature acquisition module is responsible for acquiring the ambient temperature of transmission lines in different distribution areas of the power distribution network. The operating load acquisition module is responsible for acquiring the operating load data of transmission lines in different distribution areas of the power distribution network; The operation and maintenance strategy output module is responsible for determining the operation and maintenance strategy for the distribution area based on the operating load data of the transmission lines and the ambient temperature in different distribution areas of the distribution network.

[0006] A further technical solution is that the operating load data of the transmission line is determined based on the operating load of the transmission line and the rated load of the transmission line.

[0007] A further technical solution is that the ambient temperature is determined based on weather data of the area where the transmission line is located.

[0008] A further technical solution is that the power distribution area is divided according to a preset area based on the power distribution network.

[0009] A further technical solution is that the method for determining the operation and maintenance strategy of the power distribution area is as follows: Based on the operating load data of the transmission lines in the power distribution area, the ratio of the operating load to the rated load of the transmission lines is determined and used as the load factor. Using the load rate and ambient temperature as constraints, determine the number of historical faults of the transmission line under the specified load rate and ambient temperature. Based on the historical number of faults of different transmission lines in the power distribution area, the operation and maintenance strategy for the power distribution area is determined.

[0010] A further technical solution is that when the sum of the historical fault counts of different transmission lines in the power distribution area is greater than a preset fault count value, a third operation and maintenance processing strategy is adopted to perform operation and maintenance processing on the power distribution area; when the sum of the historical fault counts of different transmission lines in the power distribution area is not greater than the preset fault count value, a first operation and maintenance processing strategy is adopted to perform operation and maintenance processing on the power distribution area.

[0011] Secondly, this application provides a distribution network operation and maintenance management method, applied to the aforementioned distribution network operation and maintenance management system, specifically including: S1 determines the suspected risk areas in the power distribution area based on the operating load data of the transmission lines in different power distribution areas of the power distribution network and the ambient temperature; S2 uses the operating load data and historical fault data of the power equipment in the suspected risk area to determine the matching fault type of different power equipment; S3 determines the historical alarm signals of different power equipment in the suspected risk area when the matching fault type of the power equipment occurred in the past, and uses them as matching alarm signals. Based on the matching alarm signals of the power equipment under different matching fault types and the similarity between the matching alarm signals and other power equipment when they fail, the power equipment with complex fault analysis is identified. S4 acquires the distribution data of the fault-analyzed complex power equipment in the suspected risk area, and combines it with the overlapping data of historical alarm signals of different fault-analyzed complex power equipment under the matching fault type to determine the operation and maintenance handling strategy of the suspected risk area.

[0012] The beneficial effects of this invention are as follows: Based on the operating load data and ambient temperature of transmission lines in different distribution areas of the power distribution network, suspected risk areas in the distribution area are identified. This also lays the foundation for screening suspected risk areas with a high probability of failure based on historical fault data of transmission lines in the distribution area under operating load and ambient temperature. This, in turn, generates differentiated operation and maintenance strategies based on the differences in the probability of failure in different distribution areas, ensuring the pertinence and reliability of operation and maintenance.

[0013] By using the distribution data of complex fault-analyzed power equipment in suspected risk areas and the overlapping data of historical alarm signals of different complex fault-analyzed power equipment under matched fault types, the operation and maintenance handling strategy for suspected risk areas is determined. This approach considers both the number of complex fault-analyzed power equipment in suspected risk areas and the differences in risk when matched fault types occur due to differences in the overlapping data of historical alarm signals. This approach enables the determination of operation and maintenance handling strategies from the perspective of the difficulty in parsing alarm signals, thereby improving the reliability of operation and maintenance handling in areas with difficult parsing.

[0014] A further technical solution involves determining the suspected risk areas within the power distribution area using the following method: Based on the operating load data of the transmission lines in the power distribution area, the ratio of the operating load to the rated load of the transmission lines is determined and used as the load factor. Using the load rate and ambient temperature as constraints, determine the number of historical faults of the transmission line under the specified load rate and ambient temperature, and identify the risky transmission lines based on the number of historical faults. Based on the number of risky transmission lines in the power distribution area, determine whether the power distribution area is a suspected risk area.

[0015] A further technical solution is that the risky transmission line is a transmission line with a historical fault count greater than a preset fault count threshold.

[0016] A further technical solution is that when the number of risky transmission lines in the power distribution area exceeds a preset threshold for the number of risky transmission lines, the power distribution area is determined to be a suspected risk area.

[0017] A further technical solution is that when the power distribution area does not belong to the suspected risk area, the first operation and maintenance handling strategy is adopted to carry out the operation and maintenance handling of the power distribution area.

[0018] A further technical solution is that the distribution data of the fault-analyzing complex power equipment in the suspected risk area includes the number of fault-analyzing complex power equipment in the suspected risk area.

[0019] A further technical solution is that the overlapping data of historical alarm signals of the complex power equipment under the fault type includes the number of overlapping historical alarm signals.

[0020] A further technical solution involves determining the operation and maintenance strategy for the suspected risk area as follows: The number of complex power equipment with fault analysis in the suspected risk area is determined based on the distribution data of the complex power equipment with fault analysis in the suspected risk area; Based on the overlap data of historical alarm signals of different fault-analyzed complex power equipment under the matching fault type, the number of overlaps between the historical alarm signals of different fault-analyzed complex power equipment and other fault-analyzed complex power equipment under the matching fault type is determined, and based on the ratio of the number of overlaps to the number of historical alarm signals of the fault-analyzed complex power equipment under the matching fault type, the signal overlap value between the fault-analyzed complex power equipment and other fault-analyzed complex power equipment is determined. The average signal overlap value between different fault-analyzed complex power equipment and other fault-analyzed complex power equipment is used to determine the signal interference value of different fault-analyzed complex power equipment. The sum of the signal interference values ​​of fault-analyzed complex power equipment in the suspected risk area is used to determine the comprehensive interference amount. Based on the comprehensive interference amount, the operation and maintenance handling strategy of the suspected risk area is determined.

[0021] A further technical solution involves determining the operation and maintenance strategy for the suspected risk area based on the comprehensive interference level, specifically including: When the total interference exceeds the preset interference threshold, the second operation and maintenance processing strategy is used to perform operation and maintenance processing on the suspected risk area. When the total interference amount is not greater than the preset interference amount threshold, the third operation and maintenance processing strategy is used to perform operation and maintenance processing on the suspected risk area.

[0022] A further technical solution is that the first operation and maintenance processing strategy is to use operation and maintenance personnel to perform operation and maintenance processing on the power distribution area when an alarm signal is present in the power distribution area.

[0023] A further technical solution is that the second operation and maintenance strategy is to use a combination of drones and operation and maintenance personnel to carry out operation and maintenance on all power equipment in the power distribution area.

[0024] A further technical solution is that the third operation and maintenance strategy is to use a combination of drones and operation and maintenance personnel to perform operation and maintenance on complex power equipment in the power distribution area.

[0025] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0026] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0027] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0028] Figure 1 This is a framework diagram of a power distribution network operation and maintenance management system; Figure 2 This is a flowchart illustrating the method for determining the operation and maintenance strategy for a power distribution area; Figure 3 This is a flowchart of a power distribution network operation and maintenance management method; Figure 4 This is a flowchart of a method for determining the matching fault type of power equipment. Detailed Implementation

[0029] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0030] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0031] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a distribution network operation and maintenance management system is provided, specifically including: Ambient temperature acquisition module, running load acquisition module, operation and maintenance strategy output module; The ambient temperature acquisition module is responsible for acquiring the ambient temperature of transmission lines in different distribution areas of the power distribution network. The operating load acquisition module is responsible for acquiring the operating load data of transmission lines in different distribution areas of the power distribution network; The operation and maintenance strategy output module is responsible for determining the operation and maintenance strategy for the distribution area based on the operating load data of the transmission lines and the ambient temperature in different distribution areas of the distribution network.

[0032] Furthermore, the operating load data of the transmission line is determined based on the operating load of the transmission line and the rated load of the transmission line.

[0033] Specifically, the ambient temperature is determined based on weather data of the area where the transmission line is located.

[0034] It should be noted that the power distribution area is divided according to the power distribution network based on a preset area.

[0035] Specifically, such as Figure 2 As shown, the method for determining the operation and maintenance strategy of the power distribution area is as follows: Based on the operating load data of the transmission lines in the power distribution area, the ratio of the operating load to the rated load of the transmission lines is determined and used as the load factor. Using the load rate and ambient temperature as constraints, determine the number of historical faults of the transmission line under the specified load rate and ambient temperature. Based on the historical number of faults of different transmission lines in the power distribution area, the operation and maintenance strategy for the power distribution area is determined.

[0036] Furthermore, when the sum of the historical fault counts of different transmission lines in the power distribution area is greater than a preset fault count value, a third maintenance and operation strategy is adopted to perform maintenance and operation on the power distribution area; when the sum of the historical fault counts of different transmission lines in the power distribution area is not greater than the preset fault count value, a first maintenance and operation strategy is adopted to perform maintenance and operation on the power distribution area.

[0037] Example 2 Secondly, such as Figure 3 As shown, this application provides a distribution network operation and maintenance management method, applied to the aforementioned distribution network operation and maintenance management system, specifically including: S1 determines the suspected risk areas in the power distribution area based on the operating load data of the transmission lines in different power distribution areas of the power distribution network and the ambient temperature; S2 uses the operating load data and historical fault data of the power equipment in the suspected risk area to determine the matching fault type of different power equipment; S3 determines the historical alarm signals of different power equipment in the suspected risk area when the matching fault type of the power equipment occurred in the past, and uses them as matching alarm signals. Based on the matching alarm signals of the power equipment under different matching fault types and the similarity between the matching alarm signals and other power equipment when they fail, the power equipment with complex fault analysis is identified. S4 acquires the distribution data of the fault-analyzed complex power equipment in the suspected risk area, and combines it with the overlapping data of historical alarm signals of different fault-analyzed complex power equipment under the matching fault type to determine the operation and maintenance handling strategy of the suspected risk area.

[0038] Specifically, the method for determining suspected risk areas within the power distribution area is as follows: Based on the operating load data of the transmission lines in the power distribution area, the ratio of the operating load to the rated load of the transmission lines is determined and used as the load factor. Using the load rate and ambient temperature as constraints, determine the number of historical faults of the transmission line under the specified load rate and ambient temperature, and identify the risky transmission lines based on the number of historical faults. Based on the number of risky transmission lines in the power distribution area, determine whether the power distribution area is a suspected risk area.

[0039] Furthermore, the risky transmission line is a transmission line whose historical number of faults exceeds a preset fault number threshold.

[0040] A further technical solution is that when the number of risky transmission lines in the power distribution area exceeds a preset threshold for the number of risky transmission lines, the power distribution area is determined to be a suspected risk area.

[0041] It should be noted that when the power distribution area is not a suspected risk area, the first operation and maintenance handling strategy shall be adopted for the operation and maintenance handling of the power distribution area.

[0042] Furthermore, the number of historical faults of the transmission line under the load rate and ambient temperature is determined based on the number of historical faults of the transmission line within the preset load rate range corresponding to the load rate and the preset ambient temperature range corresponding to the ambient temperature.

[0043] It is understood that when the risk value of the area is greater than the preset risk value threshold, the power distribution area is determined to be a suspected risk area.

[0044] Specifically, the historical fault data is determined based on the historical fault data of the power equipment within a preset load rate range corresponding to the load rate and a preset ambient temperature range corresponding to the ambient temperature.

[0045] It should be noted that, as Figure 4 As shown, the method for determining the matching fault type of the power equipment is as follows: Based on the historical fault data of the power equipment in the suspected risk area under the operating load data and ambient temperature, determine the number of historical faults of the power equipment under different fault types under the operating load data and ambient temperature. Based on the historical number of failures under different failure types, the failure types with a historical number of failures exceeding a preset value are determined; Fault types with a historical failure count greater than a preset failure count value are used as the matching fault types.

[0046] Furthermore, the method for determining the fault analysis of complex power equipment is as follows: Based on the matching alarm signals of the power equipment under different matching fault types, the type and quantity of matching alarm signals under different matching fault types are determined, and the matching fault type with a quantity of matching alarm signals greater than the preset quantity of alarm signals is regarded as a complex analytical fault type. Based on the type and quantity of the matched alarm signals, determine the same quantity of the matched alarm signals as when other power equipment fails, and use the maximum value of the same quantity as the proportion of the quantity in the matched alarm signals to determine the similarity value of different matched fault types. Based on the similarity values ​​of different complex fault analysis types, determine whether the power equipment is a complex fault analysis power equipment.

[0047] It is understood that when the power equipment has a complex fault analysis type with a similarity value greater than a preset signal similarity value threshold, the power equipment is determined to be a power equipment with complex fault analysis.

[0048] It should be noted that the distribution data of the complex power equipment in the suspected risk area includes the number of complex power equipment in the suspected risk area.

[0049] Furthermore, the overlapping data of historical alarm signals of the complex power equipment under the matching fault type includes the number of overlapping historical alarm signals.

[0050] It should be noted that the method for determining the operation and maintenance strategy for the suspected risk areas is as follows: The number of complex power equipment with fault analysis in the suspected risk area is determined based on the distribution data of the complex power equipment with fault analysis in the suspected risk area; Based on the overlap data of historical alarm signals of different fault-analyzed complex power equipment under the matching fault type, the number of overlaps between the historical alarm signals of different fault-analyzed complex power equipment and other fault-analyzed complex power equipment under the matching fault type is determined, and based on the ratio of the number of overlaps to the number of historical alarm signals of the fault-analyzed complex power equipment under the matching fault type, the signal overlap value between the fault-analyzed complex power equipment and other fault-analyzed complex power equipment is determined. The average signal overlap value between different fault-analyzed complex power equipment and other fault-analyzed complex power equipment is used to determine the signal interference value of different fault-analyzed complex power equipment. The sum of the signal interference values ​​of fault-analyzed complex power equipment in the suspected risk area is used to determine the comprehensive interference amount. Based on the comprehensive interference amount, the operation and maintenance handling strategy of the suspected risk area is determined.

[0051] Furthermore, based on the comprehensive interference level, the operation and maintenance handling strategy for the suspected risk area is determined, specifically including: When the total interference exceeds the preset interference threshold, the second operation and maintenance processing strategy is used to perform operation and maintenance processing on the suspected risk area. When the total interference amount is not greater than the preset interference amount threshold, the third operation and maintenance processing strategy is used to perform operation and maintenance processing on the suspected risk area.

[0052] It is understandable that the first operation and maintenance handling strategy is to use operation and maintenance personnel to carry out operation and maintenance handling of the power distribution area when an alarm signal is present in the power distribution area.

[0053] Furthermore, the second operation and maintenance strategy involves using a combination of drones and operation and maintenance personnel to perform operation and maintenance on all power equipment in the power distribution area.

[0054] Specifically, the third operation and maintenance strategy involves using a combination of drones and operation and maintenance personnel to perform operation and maintenance on complex power equipment in the power distribution area.

[0055] Optionally, the method for determining the operation and maintenance strategy for the suspected risk area is as follows: The number of complex power equipment with fault analysis in the suspected risk area is determined by the distribution data of the complex power equipment with fault analysis in the suspected risk area, and the interval distance between different complex power equipment with fault analysis is determined by the distribution data of different complex power equipment with fault analysis. Based on the overlap data of historical alarm signals of different fault-analyzed complex power equipment under the matching fault type, the number of overlaps between the historical alarm signals of different fault-analyzed complex power equipment and other fault-analyzed complex power equipment under the matching fault type is determined, and based on the ratio of the number of overlaps to the number of historical alarm signals of the fault-analyzed complex power equipment under the matching fault type, the signal overlap value between the fault-analyzed complex power equipment and other fault-analyzed complex power equipment is determined. The average signal overlap value between different fault-analyzed complex power equipment and other fault-analyzed complex power equipment is used to determine the signal interference value of different fault-analyzed complex power equipment. The sum of the signal interference values ​​of fault-analyzed complex power equipment in the suspected risk area is used to determine the comprehensive interference amount. Based on the comprehensive interference amount, the operation and maintenance handling strategy of the suspected risk area is determined.

[0056] Optionally, when the number of complex power devices with fault analysis in the suspected risk area is greater than a preset threshold for the number of complex devices, the operation and maintenance handling strategy for the suspected risk area is determined to be the second operation and maintenance handling strategy. Furthermore, when the number of fault-analyzed complex power devices in the suspected risk area is not greater than a preset threshold for the number of complex devices, when the average distance between different fault-analyzed complex power devices is greater than a preset distance threshold, and when the number of fault-analyzed complex power devices is within a preset range for the number of complex power devices, then the operation and maintenance handling strategy for the suspected risk area is determined to be the second operation and maintenance handling strategy. Additionally, it can be understood that when the average interval distance between different fault-analyzed complex power equipment is not greater than the preset interval distance threshold or the number of fault-analyzed complex power equipment is not within the preset range of the number of complex power equipment, fault-analyzed complex power equipment with a signal overlap value greater than the preset overlap value threshold is regarded as signal overlap power equipment. When the number of signal overlap power equipment does not meet the requirements, the operation and maintenance handling strategy for the suspected risk area is determined to be the second operation and maintenance handling strategy. The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0057] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0058] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A network deployment operation and management system, characterized in that, Specifically, it includes: Ambient temperature acquisition module, running load acquisition module, operation and maintenance strategy output module; The ambient temperature acquisition module is responsible for acquiring the ambient temperature of transmission lines in different distribution areas of the power distribution network. The operating load acquisition module is responsible for acquiring the operating load data of transmission lines in different distribution areas of the power distribution network; The operation and maintenance strategy output module is responsible for determining the operation and maintenance strategy for the distribution area based on the operating load data of the transmission lines and the ambient temperature in different distribution areas of the distribution network.

2. The power distribution network operation and maintenance management system as described in claim 1, characterized in that, The operating load data of the transmission line is determined based on the operating load of the transmission line and the rated load of the transmission line.

3. The power distribution network operation and maintenance management system as described in claim 1, characterized in that, The ambient temperature is determined based on weather data of the area where the transmission line is located.

4. The power distribution network operation and maintenance management system as described in claim 1, characterized in that, The method for determining the operation and maintenance strategy for the power distribution area is as follows: Based on the operating load data of the transmission lines in the power distribution area, the ratio of the operating load to the rated load of the transmission lines is determined and used as the load factor. Using the load rate and ambient temperature as constraints, determine the number of historical faults of the transmission line under the specified load rate and ambient temperature. Based on the historical number of faults of different transmission lines in the power distribution area, the operation and maintenance strategy for the power distribution area is determined.

5. The power distribution network operation and maintenance management system as described in claim 4, characterized in that, When the sum of the historical fault counts of different transmission lines in the power distribution area is greater than the preset fault count, the third operation and maintenance strategy is adopted to perform operation and maintenance on the power distribution area. When the sum of the historical fault counts of different transmission lines in the power distribution area is not greater than the preset fault count, the first operation and maintenance strategy is adopted to perform operation and maintenance on the power distribution area.

6. A distribution network operation and maintenance management method, applied to the distribution network operation and maintenance management system described in any one of claims 1-5, characterized in that, Specifically, it includes: Based on the operating load data and ambient temperature of transmission lines in different distribution areas of the power distribution network, suspected risk areas in the power distribution areas are identified. Based on the operating load data and historical fault data of the power equipment in the suspected risk area, the matching fault types of different power equipment are determined; When the matching fault type of the power equipment occurred in the past, the historical alarm signals of different power equipment in the suspected risk area were determined and used as matching alarm signals. Based on the matching alarm signals of the power equipment under different matching fault types and the similarity between the matching alarm signals and other power equipment when they failed, the power equipment with complex fault analysis was identified. The distribution data of the complex power equipment with fault analysis in the suspected risk area is obtained, and the overlapping data of historical alarm signals of different complex power equipment with fault analysis under the matching fault type are combined to determine the operation and maintenance handling strategy of the suspected risk area.

7. The distribution network operation and maintenance management method as described in claim 6, characterized in that, The distribution data of complex power equipment in the suspected risk area includes the number of complex power equipment in the suspected risk area.

8. The distribution network operation and maintenance management method as described in claim 6, characterized in that, The overlapping data of historical alarm signals of complex power equipment under the fault type matching includes the number of overlapping historical alarm signals.

9. The distribution network operation and maintenance management method as described in claim 6, characterized in that, The method for determining the operation and maintenance strategy for the suspected risk area is as follows: The number of complex power equipment with fault analysis in the suspected risk area is determined based on the distribution data of the complex power equipment with fault analysis in the suspected risk area; Based on the overlap data of historical alarm signals of different fault-analyzed complex power equipment under the matching fault type, the number of overlaps between the historical alarm signals of different fault-analyzed complex power equipment and other fault-analyzed complex power equipment under the matching fault type is determined, and based on the ratio of the number of overlaps to the number of historical alarm signals of the fault-analyzed complex power equipment under the matching fault type, the signal overlap coefficient between the fault-analyzed complex power equipment and other fault-analyzed complex power equipment is determined. The average signal overlap coefficient between different fault-analyzed complex power equipment and other fault-analyzed complex power equipment is used to determine the signal interference coefficient of different fault-analyzed complex power equipment. The sum of the signal interference coefficients of fault-analyzed complex power equipment in the suspected risk area is used to determine the comprehensive interference amount. Based on the comprehensive interference amount, the operation and maintenance handling strategy of the suspected risk area is determined.

10. The distribution network operation and maintenance management method as described in claim 9, characterized in that, Based on the comprehensive interference level, the operation and maintenance handling strategy for the suspected risk area is determined, specifically including: When the total interference exceeds the preset interference threshold, the second operation and maintenance processing strategy is used to perform operation and maintenance processing on the suspected risk area. When the total interference amount is not greater than the preset interference amount threshold, the third operation and maintenance processing strategy is used to perform operation and maintenance processing on the suspected risk area.

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