A method and system for analyzing power equipment control in power grid diagram

Abstract

This invention provides a method and system for power equipment management and analysis in power grid diagrams, belonging to the field of power system technology. Specifically, it includes: based on historical data of associated fault types of different power equipment, determining which general components need to be constructed within the equipment group; using monitoring data not in general components as other monitoring data; determining the matching coefficient of general components based on the historical changes of other monitoring data in the power equipment to be constructed and the historical data of associated fault types of other monitoring data; designating power equipment to be constructed with matching coefficients that meet the requirements as matching power equipment; and determining matching power equipment that can be designed using general components based on the proportion of matching power equipment in the distribution area within a preset area and the matching coefficient, thereby ensuring the reliability of power equipment monitoring and processing.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular, relates to a method and system for controlling and analyzing power equipment for power grid diagrams. Background Art

[0002] As the power supply scope of power supply enterprises continues to expand, the traditional operation and maintenance management methods often cannot accurately manage power equipment. This makes it urgent to establish a unified power grid diagram and reliably control power equipment. Technical problems need to be solved. Specifically, in the invention patent application CN202110105680.3 "A method and system for power grid operation control based on a graphic database", trunk line analysis and topology analysis are performed based on a graphic database to achieve operation control of power grid equipment, thereby improving the accuracy and efficiency of polymorphic management of the power grid. However, it is not difficult to find the following problems through analysis:

[0003] When constructing a power grid diagram, due to the differences in the grid nodes where different power equipment are located, even for the same type of power equipment, the probabilities of different types of failures vary greatly. Therefore, if the component construction method of the power grid diagram cannot be determined according to the actual needs of different power equipment, it is impossible to improve the accuracy of the management and control analysis of the power equipment while ensuring the construction and processing efficiency of the power grid diagram.

[0004] In order to solve the above-mentioned technical problems, the present invention provides a method and system for analyzing power equipment management and control in power grid diagrams. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] In order to solve the above technical problems, the present invention provides a method for analyzing power equipment control in a power grid diagram, which specifically includes:

[0007] S1 divides the power equipment into different equipment groups according to the type of the power equipment, obtains the composition data of the power equipment in the equipment group, and further determines that the equipment group can construct a common component based on the deviation of the monitoring data between the power equipment, and then proceeds to the next step;

[0008] S2 determines the associated fault type of the monitoring data, determines the monitoring data and setting module that need to be monitored and managed in the common components of the device group based on the historical data of the associated fault types of different power devices, and uses the setting module to construct the common components;

[0009] S3: using the monitoring data not in the general component as other monitoring data, and determining the matching coefficient of the general component based on the historical changes of the other monitoring data in the power equipment to be constructed and the historical data of the associated fault types of the other monitoring data, and when the matching coefficient meets the requirements, proceeding to the next step;

[0010] S4 regards the power equipment to be constructed whose matching coefficient meets the requirements as the matching power equipment, and determines the matching power equipment that can be designed using general components according to the proportion of the matching power equipment in the distribution area within the preset area and the matching coefficient.

[0011] A further technical solution is that the types of the power equipment include transformers, circuit breakers, disconnectors, contactors, fuses, busbars, power cables, insulators, wall bushings, voltage transformers, and current transformers.

[0012] A further technical solution is that the composition data of the power equipment includes the number of power equipment and the distribution nodes where different power equipment are located.

[0013] A further technical solution is that the associated faulty power equipment is determined based on the analysis result of the operation log of the power equipment.

[0014] A further technical solution is that the value range of the matching coefficient of the general component is between 0 and 1, wherein when the matching coefficient of the general component is greater than a preset matching coefficient, it is determined that the matching coefficient of the general component meets the requirements.

[0015] A further technical solution is that when the matching coefficient does not meet the requirement, the power equipment to be constructed cannot be constructed in the power grid diagram using general components, and the power equipment to be constructed is constructed using a personalized customization method.

[0016] On the other hand, the present invention provides a power equipment management, control and analysis system for a power grid diagram, which adopts the above-mentioned power equipment management, control and analysis method for a power grid diagram, and specifically includes:

[0017] Component construction classification module, component construction module, matching coefficient evaluation module, power equipment construction module;

[0018] The component construction classification module is responsible for classifying the power equipment into different equipment groups according to the type of the power equipment, obtaining the composition data of the power equipment in the equipment group, and further determining whether the equipment group can construct a common component based on the deviation of the monitoring data between the power equipment;

[0019] The component construction module is responsible for determining the associated fault type of the monitoring data, and based on the historical data of the associated fault types of different power equipment, determines the monitoring data and setting modules that need to be monitored and managed in the common components of the equipment group, and uses the setting modules to construct the common components;

[0020] The matching coefficient evaluation module is responsible for taking the monitoring data not in the general component as other monitoring data, and determining the matching coefficient of the general component based on the historical changes of the other monitoring data in the power equipment to be constructed and the historical data of the associated fault types of the other monitoring data;

[0021] The power equipment construction module is responsible for taking the power equipment to be constructed whose matching coefficient meets the requirements as the matching power equipment, and determining the matching power equipment that can be designed using general components according to the proportion of matching power equipment in the distribution area within the preset area and the matching coefficient.

[0022] The beneficial effects of the present invention are:

[0023] 1. In the present invention, based on the historical data of associated fault types of different power equipment, the monitoring data that need to be monitored and managed in the common components of the equipment group and the construction of the common components are carried out, thereby realizing the screening of monitoring data with higher monitoring importance from the perspective of the historical number of occurrences of associated fault types of the monitoring data, which not only avoids the technical problem of high complexity of construction caused by monitoring all the monitoring data, but also improves the reliability of monitoring the monitoring data.

[0024] 2. In the present invention, the matching power equipment that can be designed using universal components is determined based on the proportion of matching power equipment in the distribution area within a preset area and the matching coefficient, thereby avoiding the technical problem that the monitoring reliability of the power equipment in the distribution area does not meet the requirements due to only considering the matching coefficient. The present invention takes into account both the matching situation of the matching power equipment and the universal components and the proportion of the matching power equipment in the distribution area within the preset area, thereby ensuring the monitoring reliability of the operating data of the power equipment.

[0025] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0026] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0028] Figure 1 is a flow chart of a data synchronization method for line differential protection;

[0029] Figure 2 It is a flow chart of a method for determining monitoring data that needs to be monitored and managed;

[0030] Figure 3 is a flow chart of a method for determining a matching coefficient of a general component;

[0031] Figure 4 It is a framework diagram of a power equipment control and analysis system for a power grid diagram. DETAILED DESCRIPTION

[0032] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0033] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0034] Example 1

[0035] To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a method for analyzing power equipment management and control for a power grid diagram is provided, specifically comprising:

[0036] S1 divides the power equipment into different equipment groups according to the type of the power equipment, obtains the composition data of the power equipment in the equipment group, and further determines that the equipment group can construct a common component based on the deviation of the monitoring data between the power equipment, and then proceeds to the next step;

[0037] Furthermore, the types of power equipment include transformers, circuit breakers, disconnectors, contactors, fuses, busbars, power cables, insulators, wall bushings, voltage transformers, and current transformers.

[0038] It can be understood that the composition data of the power equipment includes the number of power equipment and the distribution nodes where different power equipment are located.

[0039] It should be noted that determining that the device group is capable of constructing a common component specifically includes:

[0040] Acquire the number of electrical devices in the device group, and determine the basic necessary coefficients for constructing common components corresponding to the device group based on the number interval of the number of electrical devices;

[0041] Obtain the distribution nodes where different power devices are located, and determine the power devices whose distances from other distribution nodes are greater than a preset distance according to the distribution nodes where the different power devices are located, and regard them as discrete power devices, and determine the distribution dispersion coefficient of the device group according to the proportion of the number of the discrete power devices;

[0042] Dividing the power equipment into different monitoring data groups according to the similarity of the monitoring data between different power equipment, and determining the monitoring data dispersion of the equipment group by the number interval of the number of the monitoring data group;

[0043] Based on the basic necessary coefficient for constructing the common components of the device group, the distribution discrete coefficient of the device group and the weight of the discreteness of the monitoring data, the necessary coefficient for constructing the common components of the device group is determined, and the necessary coefficient for constructing is used to determine whether the device group is capable of constructing the common components.

[0044] Further, using the necessary construction coefficient to determine whether the device group can construct a common component specifically includes:

[0045] When the construction necessary coefficient of the common component of the device group is greater than the preset necessary coefficient, it is determined that the device group is capable of constructing the common component.

[0046] In another possible embodiment, determining that the device group is capable of constructing a common component specifically includes:

[0047] S11 obtains the distribution nodes where different power devices are located, and determines the power devices whose distances from other distribution nodes are greater than a preset distance according to the distribution nodes where the different power devices are located, and regards them as discrete power devices, and determines the distribution dispersion coefficient of the device group according to the proportion of the number of the discrete power devices;

[0048] S12 divides the power equipment into different monitoring data groups according to the similarity of the monitoring data between different power equipment, and determines the monitoring data dispersion of the equipment group by the number interval of the number of monitoring data groups;

[0049] S13 determines the basic necessary coefficient for constructing the common components corresponding to the device group based on the quantity interval of the number of the power equipment, determines the necessary coefficient for constructing the common components of the device group based on the basic necessary coefficient for constructing the common components of the device group, the distribution discrete coefficient of the device group and the weight of the discreteness of the monitoring data, and uses the necessary coefficient for construction to determine whether the device group is capable of constructing the common components.

[0050] Optionally, the above step S11 includes:

[0051] S111: obtaining the number of electrical devices in the device group, determining whether the number of electrical devices in the device group is greater than a preset number of electrical devices, if so, determining that the device group can construct a common component, if not, proceeding to the next step;

[0052] S112 determines whether the number of electrical devices in the device group is within a preset device number range, if yes, proceeds to step S12, if no, proceeds to the next step;

[0053] S113 obtains the distribution nodes where different power devices are located, and determines the power devices whose distances to other distribution nodes are greater than the preset distances based on the distribution nodes where the different power devices are located, and regards them as discrete power devices. The distribution dispersion coefficient of the device group is determined by the proportion of the number of discrete power devices, and it is judged whether the distribution dispersion coefficient of the device group is less than the preset dispersion coefficient. If so, it is determined that the device group does not need to construct a common component. If not, it goes to step S12.

[0054] Optionally, the above step S12 includes the following contents:

[0055] According to the similarity of the monitoring data between different power devices, the power devices are divided into different monitoring data groups, and the monitoring data discreteness of the device group is determined by the number interval of the number of monitoring data groups. It is judged whether the monitoring data discreteness of the device group is greater than the preset data discreteness. If so, it is determined that the device group does not need to construct a common component. If not, enter step S13.

[0056] S2 determines the associated fault type of the monitoring data, determines the monitoring data and setting module that need to be monitored and managed in the common components of the device group based on the historical data of the associated fault types of different power devices, and uses the setting module to construct the common components;

[0057] Furthermore, the associated fault type is determined according to the type of the monitoring data. Specifically, when analyzing the fault type, it is necessary to refer to the fault type of the monitoring data as the associated fault type.

[0058] Specifically, Figure 2 As shown, the method for determining the monitoring data that needs to be monitored and managed is:

[0059] Acquire the associated fault type of the monitoring data, and take the power equipment in the equipment group that has experienced the associated fault type as the associated fault power equipment;

[0060] Determine the historical occurrence times of the associated fault types of different associated fault power equipment by using the historical data of the associated fault types of different associated fault power equipment, and determine the weight values ​​corresponding to the different associated fault power equipment by using the historical occurrence times;

[0061] The weight values ​​of different associated power equipment are normalized and then summed to obtain the fault correlation coefficient of the monitoring data, and the fault correlation coefficient is used to determine whether the monitoring data is monitoring data that needs to be monitored and managed.

[0062] Furthermore, the associated faulty electric equipment is determined based on the analysis result of the operation log of the electric equipment.

[0063] It can be understood that the weight value corresponding to the associated power equipment is determined according to the interval in which the historical number of occurrences is located, and specifically, the preset weight value corresponding to the interval in which the historical number of occurrences is located is used to determine the weight value corresponding to the associated power equipment.

[0064] In another possible embodiment, the method for determining the monitoring data that needs to be monitored and managed is:

[0065] S21 obtains the associated fault type of the monitoring data, takes the power equipment in the equipment group that has experienced the associated fault type as the associated fault power equipment, and determines the historical occurrence times of the associated fault type for different associated fault power equipment through the historical data of the associated fault type for different associated fault power equipment;

[0066] S22 uses the historical number of occurrences to determine the weight values ​​corresponding to different associated power equipment, normalizes the weight values ​​of different associated power equipment and then sums them to obtain the fault correlation coefficient of the monitoring data, and uses the fault correlation coefficient to determine whether the monitoring data is monitoring data that needs to be monitored and managed.

[0067] Optionally, the above step S21 includes the following contents:

[0068] S211 obtains the associated fault type of the monitoring data, takes the power equipment in the equipment group that has experienced the associated fault type as the associated fault power equipment, and determines whether the number of the associated fault power equipment is greater than the preset number of equipment. If so, determines that the monitoring data is the monitoring data that needs to be monitored and managed, and if not, proceeds to the next step;

[0069] S212 determines the historical occurrence times of different associated fault power devices in the associated fault type through the historical data of different associated fault power devices in the associated fault type, and uses the historical occurrence times to judge whether the concerned fault power device exists as a concerned power device, if yes, proceeds to step S214, if no, proceeds to the next step;

[0070] S213 determines the number of occurrences of the associated fault type within a preset time period through the historical data of the associated fault type of different associated fault power equipment, and judges whether the number of occurrences of the associated fault type within the preset time period is less than the preset number, if so, determines that the monitoring data is monitoring data that does not need to be monitored and managed, if not, proceeds to the next step;

[0071] S214 determines whether the number of the concerned power equipment is greater than the preset number of concerned equipment. If so, it determines that the monitoring data is monitoring data that needs to be monitored and managed. If not, it goes to step S22.

[0072] It should be noted that the setting module is a module used for monitoring the monitoring data that needs to be monitored and managed.

[0073] S3: using the monitoring data not in the general component as other monitoring data, and determining the matching coefficient of the general component based on the historical changes of the other monitoring data in the power equipment to be constructed and the historical data of the associated fault types of the other monitoring data, and when the matching coefficient meets the requirements, proceeding to the next step;

[0074] It is understandable that if Figure 3 As shown, the method for determining the matching coefficient of the universal component is:

[0075] Determine the historical change time of the other monitoring data based on the historical change of the other monitoring data in the power equipment to be constructed, determine the change probability of different other monitoring data based on the number of the historical change time, and determine the change impact value based on the change probability of different other monitoring data;

[0076] Taking the associated fault type of other monitoring data as other fault types, determining the historical occurrence times of other fault types through historical data of other fault types, and determining the fault impact value based on the historical occurrence times of other fault types;

[0077] A matching coefficient of the general component is determined based on the variation impact value and the failure impact value.

[0078] Furthermore, the value range of the matching coefficient of the general component is between 0 and 1, wherein when the matching coefficient of the general component is greater than a preset matching coefficient, it is determined that the matching coefficient of the general component meets the requirement.

[0079] It should also be noted that when the matching coefficient does not meet the requirements, the power equipment to be constructed cannot be constructed in the power grid diagram using general components, and the power equipment to be constructed can only be constructed using a personalized customization method.

[0080] In another possible embodiment, the method for determining the matching coefficient of the universal component is:

[0081] Determine the historical change time of the other monitoring data based on the historical change of the other monitoring data in the power equipment to be constructed, and judge whether there are other monitoring data whose number of historical change time does not meet the requirement. If so, determine that the power equipment to be constructed cannot be constructed in the power grid diagram using the general component. If not, proceed to the next step.

[0082] The associated fault type of other monitoring data is used as other fault type, and the historical occurrence number of other fault types is determined through the historical data of other fault types, and it is judged whether there are other fault types whose historical occurrence number is not within the preset number range. If so, it is determined that the power equipment to be constructed cannot be constructed in the power grid diagram using the general component, and if not, proceed to the next step;

[0083] Determine the change probability of different other monitoring data by using the number of the historical change moments and the data change amplitude at the historical change moments, determine the change impact value based on the change probability of different other monitoring data, and judge whether the change impact value meets the requirements. If so, determine that the power equipment to be constructed cannot be constructed in the power grid diagram by using the general component. If not, proceed to the next step.

[0084] Determine the fault impact value based on the historical occurrence times of other fault types, and judge whether the fault impact value meets the requirements. If so, determine that the power equipment to be constructed cannot be constructed in the power grid diagram using the general components. If not, proceed to the next step.

[0085] A matching coefficient of the general component is determined based on the variation impact value and the failure impact value.

[0086] S4 regards the power equipment to be constructed whose matching coefficient meets the requirements as the matching power equipment, and determines the matching power equipment that can be designed using general components according to the proportion of the matching power equipment in the distribution area within the preset area and the matching coefficient.

[0087] It should be noted that the method for determining the matching power equipment that can be designed using universal components is:

[0088] S41: obtaining the number of matching power devices in the power distribution area within the preset area, and determining whether the number of matching power devices in the power distribution area is less than the preset number of devices. If so, proceed to the next step; if not, proceed to step S43;

[0089] S42 determines whether the proportion of the number of matching power devices in the power distribution area is less than a preset proportion. If so, all matching power devices in the power distribution area are regarded as matching power devices that can be designed using universal components. If not, proceed to the next step.

[0090] S43 determines the data monitoring reliability in the power distribution area by using the proportion and quantity of the matching power devices in the power distribution area, and determines the number threshold of the matching power devices that can be designed using general components based on the data monitoring reliability;

[0091] S44 uses the quantity threshold and the matching coefficient of the matching power device to determine the matching power device that can be designed using a general component.

[0092] Example 2

[0093] On the other hand, Figure 4 As shown, the present invention provides a power equipment control and analysis system for a power grid diagram, which adopts the above-mentioned power equipment control and analysis method for a power grid diagram, specifically comprising:

[0094] Component construction classification module, component construction module, matching coefficient evaluation module, power equipment construction module;

[0095] The component construction classification module is responsible for classifying the power equipment into different equipment groups according to the type of the power equipment, obtaining the composition data of the power equipment in the equipment group, and further determining whether the equipment group can construct a common component based on the deviation of the monitoring data between the power equipment;

[0096] The component construction module is responsible for determining the associated fault type of the monitoring data, and based on the historical data of the associated fault types of different power equipment, determines the monitoring data and setting modules that need to be monitored and managed in the common components of the equipment group, and uses the setting modules to construct the common components;

[0097] The matching coefficient evaluation module is responsible for taking the monitoring data not in the general component as other monitoring data, and determining the matching coefficient of the general component based on the historical changes of the other monitoring data in the power equipment to be constructed and the historical data of the associated fault types of the other monitoring data;

[0098] The power equipment construction module is responsible for taking the power equipment to be constructed whose matching coefficient meets the requirements as the matching power equipment, and determining the matching power equipment that can be designed using general components according to the proportion of matching power equipment in the distribution area within the preset area and the matching coefficient.

[0099] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0100] The above describes a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0101] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification should be included in the scope of the claims of this specification.

Claims

1. A method for analyzing power equipment control in a power grid diagram, characterized in that: Specifically include: Divide the power equipment into different equipment groups according to the type of the power equipment, obtain the composition data of the power equipment in the equipment group, and further determine that the equipment group can construct a common component based on the deviation of the monitoring data between the power equipment, and then proceed to the next step; Determine the associated fault type of the monitoring data, determine the monitoring data and setting module that need to be monitored and managed in the common components of the device group based on the historical data of the associated fault types of different power devices, and use the setting module to construct the common components; Taking the monitoring data not in the general component as other monitoring data, determining the matching coefficient of the general component based on the historical changes of the other monitoring data in the power equipment to be constructed and the historical data of the associated fault types of the other monitoring data, and proceeding to the next step when the matching coefficient meets the requirements; The power equipment to be constructed that meets the matching coefficient requirement is regarded as the matching power equipment, and the matching power equipment that can be designed using general components is determined according to the proportion of the matching power equipment in the power distribution area within the preset area and the matching coefficient; Determining that the device group is capable of constructing a common component includes: Acquire the number of electrical devices in the device group, and determine the basic necessary coefficients for constructing common components corresponding to the device group based on the number interval of the number of electrical devices; Obtain the distribution nodes where different power devices are located, and determine the power devices whose distances from other distribution nodes are greater than a preset distance according to the distribution nodes where the different power devices are located, and regard them as discrete power devices, and determine the distribution dispersion coefficient of the device group according to the proportion of the number of the discrete power devices; Dividing the power equipment into different monitoring data groups according to the similarity of the monitoring data between different power equipment, and determining the monitoring data dispersion of the equipment group by the number interval of the number of the monitoring data group; Determine the construction necessary coefficient of the common component of the device group based on the basic necessary coefficient of the common component construction of the device group, the distribution dispersion coefficient of the device group and the weight of the monitoring data dispersion, and determine whether the device group can construct the common component by using the construction necessary coefficient; Determining whether the device group can construct a common component by using the construction necessary coefficient specifically includes: When the construction necessary coefficient of the common component of the device group is greater than the preset necessary coefficient, it is determined that the device group is capable of constructing the common component; The method for determining the monitoring data that needs to be monitored and managed is: Acquire the associated fault type of the monitoring data, and take the power equipment in the equipment group that has experienced the associated fault type as the associated fault power equipment; Determine the historical occurrence times of the associated fault types of different associated fault power equipment by using the historical data of the associated fault types of different associated fault power equipment, and determine the weight values ​​corresponding to the different associated fault power equipment by using the historical occurrence times; Normalizing and summing the weight values ​​of different associated power equipment to obtain a fault correlation coefficient of the monitoring data, and using the fault correlation coefficient to determine whether the monitoring data is monitoring data that needs to be monitored and managed; The method for determining the matching coefficient of the universal component is: Determine the historical change time of the other monitoring data based on the historical change of the other monitoring data in the power equipment to be constructed, determine the change probability of different other monitoring data based on the number of the historical change time, and determine the change impact value based on the change probability of the different other monitoring data; Taking the associated fault types of other monitoring data as other fault types, determining the historical occurrence times of other fault types through historical data of other fault types, and determining the fault impact value based on the historical occurrence times of other fault types; Determining a matching coefficient of the universal component based on the variation impact value and the failure impact value; The method for determining the matching power equipment that can be designed using universal components is as follows: S41: obtaining the number of matching power devices in the power distribution area within the preset area, and determining whether the number of matching power devices in the power distribution area is less than the preset number of devices. If so, proceed to the next step; if not, proceed to step S43; S42 determines whether the proportion of the number of matching power devices in the power distribution area is less than a preset proportion. If so, all matching power devices in the power distribution area are regarded as matching power devices that can be designed using universal components. If not, proceed to the next step. S43 determines the data monitoring reliability in the power distribution area by using the proportion and quantity of the matching power devices in the power distribution area, and determines the quantity threshold of the matching power devices that can be designed using general components based on the data monitoring reliability; S44 uses the quantity threshold and the matching coefficient of the matching power device to determine the matching power device that can be designed using a general component.

2. The power equipment management and control analysis method for power grid diagram according to claim 1, characterized in that: The types of power equipment include transformers, circuit breakers, disconnectors, contactors, fuses, busbars, power cables, insulators, wall bushings, voltage transformers, and current transformers.

3. The power equipment control and analysis method for power grid diagram according to claim 1, characterized in that: The composition data of the power equipment includes the number of the power equipment and the distribution nodes where different power equipment are located.

4. The power equipment control and analysis method for power grid diagram according to claim 1, characterized in that: The associated fault type is determined according to the type of the monitoring data. Specifically, when analyzing the fault type, it is necessary to refer to the fault type of the monitoring data as the associated fault type.

5. The power equipment control and analysis method for power grid diagram according to claim 1, characterized in that: The associated faulty electric power equipment is determined based on the parsing result of the operation log of the electric power equipment.

6. The power equipment control and analysis method for power grid diagram according to claim 1, characterized in that: The setting module is a module used for monitoring the monitoring data that needs to be monitored and managed.

7. A power equipment control and analysis system for a power grid diagram, using a power equipment control and analysis method for a power grid diagram according to any one of claims 1 to 6, characterized in that: Specifically include: Component construction classification module, component construction module, matching coefficient evaluation module, power equipment construction module; The component construction classification module is responsible for classifying the power equipment into different equipment groups according to the type of the power equipment, obtaining the composition data of the power equipment in the equipment group, and further determining whether the equipment group can construct a common component based on the deviation of the monitoring data between the power equipment; The component construction module is responsible for determining the associated fault type of the monitoring data, and based on the historical data of the associated fault types of different power equipment, determines the monitoring data and setting modules that need to be monitored and managed in the common components of the equipment group, and uses the setting modules to construct the common components; The matching coefficient evaluation module is responsible for taking the monitoring data not in the general component as other monitoring data, and determining the matching coefficient of the general component based on the historical changes of the other monitoring data in the power equipment to be constructed and the historical data of the associated fault types of the other monitoring data; The power equipment construction module is responsible for taking the power equipment to be constructed whose matching coefficient meets the requirements as the matching power equipment, and determining the matching power equipment that can be designed using general components according to the proportion of matching power equipment in the distribution area within the preset area and the matching coefficient.

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