A big data integration and processing decision-making system for distribution network fixed value verification

Abstract

The present invention discloses a distribution network fixed value verification big data integration processing decision system, which divides different areas of the distribution network into local monitoring areas, and implements monitoring statistics on the fixed value verification of different distribution network equipment in the divided different local monitoring areas, digitally processes and analyzes the local fixed value verification status corresponding to different distribution network equipment, and expands and utilizes the analysis results of all distribution network equipment in the same local monitoring area to realize the digital processing and analysis of the overall fixed value verification status corresponding to the local monitoring area, and implements targeted fixed value verification decision management for different local monitoring areas and different distribution network equipment through the fixed value verification status analysis data obtained through preliminary processing and analysis. The present invention is used to solve the technical problems of poor supervision effect of distribution network fixed value verification and poor decision effect of expanded utilization in existing solutions.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network data processing, and in particular to a distribution network fixed value verification big data integration processing decision system. Background Art

[0002] Distribution network setting verification refers to the process of verifying and confirming the protection settings of relay protection devices in the distribution network in the power system to ensure that these protection devices can operate correctly when a fault occurs in the power system, neither malfunctioning nor refusing to operate, thereby ensuring the safe and stable operation of the power grid.

[0003] When implementing the existing distribution network constant value calibration data processing decision-making plan, it is unable to supervise and analyze the effects of the distribution network constant value calibration from different dimensions, making it impossible to implement targeted optimization of the distribution network constant value calibration, resulting in poor supervision effect of the distribution network constant value calibration and poor decision-making effect of expanding utilization. Summary of the Invention

[0004] The purpose of the present invention is to provide a distribution network fixed value calibration big data integration processing decision-making system to solve the technical problems of poor supervision effect of distribution network fixed value calibration and poor decision-making effect of expanded utilization in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A distribution network fixed value verification big data integration, processing and decision-making system, comprising:

[0007] The distribution network area division monitoring module is used to divide different areas of the distribution network into local monitoring areas, and implement monitoring statistics on the fixed value verification of different distribution network equipment in the different divided local monitoring areas to obtain a fixed value verification monitoring set; the fixed value verification monitoring set includes the local fixed value verification monitoring sets corresponding to different local monitoring areas, and the local fixed value verification monitoring set includes the distribution network equipment verification sequence corresponding to all distribution network equipment in the local monitoring area;

[0008] The fixed value calibration data processing and analysis module is used to digitally process and analyze the fixed value calibration status corresponding to different distribution network devices in different local monitoring areas of the distribution network based on the fixed value calibration monitoring total set, obtain the local fixed value calibration status value and marking status corresponding to different distribution network devices, and determine the overall fixed value calibration status value and marking status corresponding to the local monitoring area based on the local fixed value calibration status corresponding to all distribution network devices in the local monitoring area;

[0009] Among them, the status marks of different distribution network devices include abnormal distribution network device marks or abnormal distribution network device marks; the status marks corresponding to different local monitoring areas include normal local monitoring area marks, slightly abnormal local monitoring area marks or severely abnormal local monitoring area marks;

[0010] The distribution network fixed value calibration processing decision module is used to implement targeted fixed value calibration decision management for different local monitoring areas and different distribution network equipment based on the overall fixed value calibration status corresponding to different local monitoring areas and the local fixed value calibration status corresponding to different distribution network equipment obtained by analysis;

[0011] Among them, when implementing targeted fixed value calibration decision management for different local monitoring areas, periodic fixed value calibration monitoring statistical analysis of the first adjustment monitoring cycle is implemented for the marked local monitoring areas with different mild abnormalities and local monitoring areas with severe abnormalities, and periodic fixed value calibration monitoring statistical analysis of the second adjustment monitoring cycle is implemented for all local monitoring areas with severe abnormalities; in addition, targeted simulation verification and fixed value calibration parameter optimization and update are implemented for all abnormal distribution network equipment that appear.

[0012] Preferably, the local monitoring areas of different distribution network areas are divided into several local monitoring areas, and different distribution network devices in different local monitoring areas are numbered in turn, and the fixed value verification types and corresponding verification type values corresponding to different distribution network devices are obtained at the same time;

[0013] During the basic monitoring period, the calibration time points corresponding to the fixed value calibration actions of different distribution network equipment are obtained, and the calibration status corresponding to the fixed value calibration actions is traced and counted to obtain the verification status results;

[0014] The numbers, verification type values, verification time points, and verification status results corresponding to different distribution network devices are sorted and combined respectively to obtain the distribution network device verification sequence.

[0015] Preferably, the distribution network equipment calibration sequences corresponding to all distribution network equipment in different local monitoring areas are sorted and combined to obtain a local fixed value calibration monitoring set;

[0016] The local fixed value verification monitoring sets corresponding to different local monitoring areas are sorted and combined to obtain the total fixed value verification monitoring set.

[0017] Preferably, when digitally processing the fixed value verification status corresponding to different distribution network devices in different local monitoring areas, the corresponding numbers of the distribution network devices are traversed and retrieved in the fixed value verification monitoring total set to obtain the corresponding distribution network device verification sequence;

[0018] Traverse the calibration sequence of the distribution network equipment to obtain the calibration status results associated with different calibration time points, and digitally process the calibration normal action state, calibration malfunction state, or calibration rejection action state in the calibration status results to obtain the corresponding calibration status value JZi, where i = 1, 2, 3, ..., n; n is a positive integer;

[0019] All calibration processing data implemented by the distribution network equipment within the basic monitoring period are calculated through formulas to obtain the corresponding local fixed value calibration status values.

[0020] Preferably, the calculation formula for the local fixed value verification state value of the distribution network equipment is: Where S(JZi) is the local fixed value calibration status value of the distribution network equipment, and SQi is the calibration type value of the distribution network equipment.

[0021] Preferably, when determining the local fixed value verification state of the distribution network device according to the local fixed value verification state value, if the local fixed value verification state value is 0, a normal verification signal is generated and the distribution network device is marked as a normal distribution network device;

[0022] If the local fixed value check status value is not 0, an abnormal check signal is generated and the corresponding distribution network device is marked as an abnormal distribution network device.

[0023] Preferably, the total number N of abnormal distribution network devices in the local monitoring area is counted and analyzed. If the total number of abnormalities is 0, a local area calibration normal signal is generated and the overall fixed value calibration state value corresponding to the local monitoring area is marked as 0, and the local monitoring area is marked as a normal local monitoring area.

[0024] If the total number of anomalies is not 0, a local area calibration abnormality signal is generated, and the overall fixed value calibration state value ZZ corresponding to the local monitoring area is obtained by calculation based on the local area calibration abnormality signal.

[0025] Preferably, the calculation formula for the overall fixed value verification state value corresponding to the local monitoring area is: Where, [*] is the integral function, and A is the standard value of the fixed value calibration state.

[0026] Preferably, the calculated overall fixed value verification state value is analyzed, and if the overall fixed value verification state value is 1, a verification overall slight abnormality signal is generated and the corresponding local monitoring area is marked as a slight abnormality local monitoring area;

[0027] If the overall constant value verification status value is not 1, an overall severe abnormality signal is generated and the local monitoring area to which it belongs is marked as a severe abnormality local monitoring area.

[0028] Preferably, the interval duration of the second adjusted monitoring period is shorter than the interval duration of the first adjusted monitoring period, and the interval duration of the first adjusted monitoring period is shorter than the interval duration of the basic monitoring period.

[0029] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0030] The present invention divides different areas of the distribution network into local monitoring areas, and implements monitoring and statistics on the fixed value calibration of different distribution network equipment in the divided different local monitoring areas, thereby realizing preprocessing of the distribution network fixed value calibration implementation and monitoring and statistics of data. It can provide reliable multi-dimensional monitoring data support for the subsequent calculation and analysis of the fixed value calibration status of different areas and different distribution network equipment in the distribution network, and improve the diversity of the distribution network fixed value calibration supervision.

[0031] The present invention digitally processes and analyzes the local fixed value verification status corresponding to different distribution network equipment in different local monitoring areas that are marked in advance, and expands and utilizes the analysis results of all distribution network equipment in the same local monitoring area to realize the digital processing and analysis of the overall fixed value verification status corresponding to the local monitoring area. It can not only obtain the overall fixed value verification status and local fixed value verification status of different local monitoring areas and distribution network equipment at different locations, but also provide reliable analysis data support for the subsequent fixed value verification decision-making management of the distribution network, thereby improving the diverse processing and analysis effects of the fixed value verification status corresponding to different areas of the distribution network and different distribution network equipment.

[0032] The present invention implements targeted fixed value calibration decision management for different local monitoring areas and different distribution network equipment by obtaining the overall fixed value calibration status corresponding to different local monitoring areas and the local fixed value calibration status corresponding to different distribution network equipment through preliminary processing and analysis, thereby improving the multi-dimensional supervision effect of the distribution network and the overall decision-making effect of the expanded utilization of multi-dimensional supervision analysis data. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below with reference to the accompanying drawings.

[0034] Figure 1 This is a module block diagram of a distribution network fixed value calibration big data integration, processing and decision-making system of the present invention.

[0035] Figure 2 This is a flowchart of the operation of a distribution network fixed value calibration big data integration and processing decision-making system of the present invention. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0037] like Figures 1 to 2As shown, the present invention is a distribution network fixed value calibration big data integration processing and decision-making system, including a distribution network area division monitoring module, a fixed value calibration data processing and analysis module and a distribution network fixed value calibration processing decision-making module;

[0038] Specifically, the distribution network area division monitoring module is used to divide different areas of the distribution network into local monitoring areas, and implement monitoring statistics on the fixed value verification of different distribution network equipment in the different local monitoring areas to obtain the total set of fixed value verification monitoring; it includes:

[0039] Divide different areas of the distribution network into several local monitoring areas, number different distribution network devices in different local monitoring areas, and obtain the corresponding fixed value verification type and corresponding verification type value of different distribution network devices;

[0040] It should be noted that the division of local monitoring areas for different areas of the distribution network can be based on preset division areas or based on the different administrative regions to which existing areas belong. The purpose of dividing different areas of the distribution network into local monitoring areas is to achieve modular monitoring and analysis of the distribution network, and then implement accurate and efficient decision-making and management of distribution network equipment and local monitoring areas in the distribution network based on the monitoring and analysis results.

[0041] In addition, the fixed value verification types include fixed-interval fixed value verification and real-time fixed value verification. The specific fixed value verification corresponding to different distribution network equipment can be determined based on the existing fixed value verification scheme and the actual distribution network operation requirements, technical conditions and management strategies. The verification type value is used to digitally and differentially represent the fixed value verification type. Specifically, the verification type values corresponding to fixed-interval fixed value verification and real-time fixed value verification can be 1 and 2 respectively. This can provide digital data support for the distribution network equipment dimension for the subsequent calculation and analysis of the local fixed value verification status values of all distribution network equipment of different fixed value verification types.

[0042] During the basic monitoring period, which is measured in days, specifically 15 days, the calibration time points corresponding to the implementation of fixed value calibration actions for different distribution network devices are obtained, with the specific unit accurate to the minute. The calibration status corresponding to the implementation of the fixed value calibration action is retroactively counted to obtain the verification status result. The verification status result includes the calibration normal action status, the calibration malfunction status, or the calibration rejection action status, and is reviewed and determined by professional technicians in this field based on the recorded fixed value calibration data.

[0043] The numbers, verification type values, verification time points, and verification status results corresponding to different distribution network devices are sorted and combined to obtain the distribution network device verification sequence;

[0044] Arrange and combine the distribution network equipment verification sequences corresponding to all distribution network equipment in different local monitoring areas to obtain a local fixed value verification monitoring set;

[0045] Sort and combine the local fixed value verification monitoring sets corresponding to different local monitoring areas to obtain the total fixed value verification monitoring set;

[0046] In an embodiment of the present invention, by dividing different areas of the distribution network into local monitoring areas and implementing monitoring and statistics on the constant value calibration of different distribution network equipment in the divided different local monitoring areas, preprocessing of the distribution network constant value calibration implementation and monitoring and statistics of the data are achieved. This can provide reliable multi-dimensional monitoring data support for the subsequent calculation and analysis of the constant value calibration status of different areas and different distribution network equipment in the distribution network, thereby improving the diversity of distribution network constant value calibration supervision.

[0047] The fixed value calibration data processing and analysis module is used to digitally process and analyze the fixed value calibration status corresponding to different distribution network devices in different local monitoring areas of the distribution network based on the fixed value calibration monitoring set, obtain the local fixed value calibration status value and marking status corresponding to different distribution network devices, and determine the overall fixed value calibration status value and marking status corresponding to the local monitoring area based on the local fixed value calibration status corresponding to all distribution network devices in the local monitoring area; including:

[0048] When digitally processing the fixed value verification status corresponding to different distribution network devices in different local monitoring areas, the corresponding numbers of the distribution network devices are traversed and searched in the fixed value verification monitoring set to obtain the corresponding distribution network device verification sequence;

[0049] Traverse the calibration sequence of the distribution network equipment to obtain the calibration status results associated with different calibration time points, and digitally process the calibration normal action state, calibration malfunction state or calibration rejection action state in the calibration status results to obtain the corresponding calibration status value JZi, i = 1, 2, 3, ..., n; n is a positive integer; i is the different fixed value calibrations implemented by the distribution network equipment;

[0050] Among them, the verification status value is used to digitally and differentially represent the verification status result. The action state in the verification status result can be traversed and matched with the preset verification status digital table to obtain the corresponding verification status value. The verification status digital table is pre-set with verification status values corresponding to the normal verification action state, the malfunction verification action state or the rejection verification action state. The verification status values corresponding to different action states can be determined by professional and technical personnel in this field according to the negative impact of the corresponding action state, or can be determined based on the total number of all normal verification action states, malfunction verification states and rejection verification action states that have appeared in the distribution network history.

[0051] All the calibration processing data implemented by the distribution network equipment within the basic monitoring period are calculated through formulas to obtain the corresponding local fixed value calibration status values;

[0052] The calculation formula for the local fixed value verification status value of the distribution network equipment is: Where, S(JZi) is the local fixed value calibration status value of the distribution network equipment, and SQi is the calibration type value of the distribution network equipment;

[0053] It should be explained that the local fixed value calibration status value is used to integrate and calculate all fixed value calibration data periodically implemented on distribution network equipment to digitally represent its local fixed value calibration status. The larger the local fixed value calibration status value, the worse the local fixed value calibration status of the corresponding distribution network equipment, and the more targeted decision-making management is needed.

[0054] When determining the local fixed value calibration state of the distribution network device according to the local fixed value calibration state value, if the local fixed value calibration state value is 0, a normal calibration signal is generated and the distribution network device is marked as a normal distribution network device;

[0055] If the local fixed value check status value is not 0, an abnormal check signal is generated and the corresponding distribution network device is marked as an abnormal distribution network device;

[0056] In an embodiment of the present invention, the corresponding local fixed value calibration status values are obtained by integrating and calculating the periodic fixed value calibration data of different distribution network equipment in different local monitoring areas. According to the local fixed value calibration status values, the local fixed value calibration status of the distribution network equipment can be digitally represented, and reliable local distribution network equipment analysis data support can be provided for the subsequent overall fixed value calibration status processing and analysis of the local monitoring area, thereby improving the diversity of the processing and utilization of the periodic monitoring and analysis data of the local distribution network equipment.

[0057] Count the total number of abnormal distribution network devices in the local monitoring area N and analyze them. If the total number of abnormalities is 0, generate a local area calibration normal signal and mark the overall fixed value calibration status value corresponding to the local monitoring area as 0, and mark the local monitoring area as a normal local monitoring area;

[0058] If the total number of abnormalities is not 0, a local area calibration abnormality signal is generated, and the overall fixed value calibration state value ZZ corresponding to the local monitoring area is obtained by calculation according to the local area calibration abnormality signal;

[0059] Among them, the calculation formula for the overall fixed value verification status value corresponding to the local monitoring area is: Where [*] is the integral function, and A is the standard value of the fixed value verification state, which can be determined based on the actual distribution network operation requirement data or based on the median value of all the overall fixed value verification state values corresponding to the history of different local monitoring areas of the distribution network;

[0060] It should be explained that the overall fixed value calibration status value is used to integrate and calculate the local fixed value calibration analysis data corresponding to all distribution network equipment in the local monitoring area to digitally represent its overall fixed value calibration status; the larger the overall fixed value calibration status value, the worse the overall fixed value calibration status of the corresponding local monitoring area, and the more targeted decision-making management is needed;

[0061] Analyze the calculated overall fixed value check state value. If the overall fixed value check state value is 1, generate a check overall slight abnormality signal and mark the local monitoring area as a slight abnormality local monitoring area.

[0062] If the overall fixed value check status value is not 1, a check overall severe abnormality signal is generated and the local monitoring area to which it belongs is marked as a severe abnormality local monitoring area;

[0063] In an embodiment of the present invention, by digitally processing and analyzing the local fixed value verification status corresponding to different distribution network equipment in different local monitoring areas that were marked in the early stage, and expanding and utilizing the analysis results of all distribution network equipment in the same local monitoring area, digital processing and analysis of the overall fixed value verification status corresponding to the local monitoring area are achieved. This can not only obtain the overall fixed value verification status and local fixed value verification status of distribution network equipment in different local monitoring areas and at different locations, but also provide reliable analysis data support for the subsequent fixed value verification decision-making management of the distribution network, thereby improving the diverse processing and analysis effects of the fixed value verification status corresponding to different areas of the distribution network and different distribution network equipment.

[0064] The distribution network fixed value calibration processing decision module is used to implement targeted fixed value calibration decision management for different local monitoring areas and different distribution network devices based on the overall fixed value calibration status corresponding to different local monitoring areas and the local fixed value calibration status corresponding to different distribution network devices obtained through analysis; it includes:

[0065] When implementing targeted fixed value verification decision management for different local monitoring areas, a first decision instruction and a second decision instruction are generated respectively according to the marked different local monitoring areas with slight abnormalities and local monitoring areas with severe abnormalities, and according to the first decision instruction and the second decision instruction, a periodic fixed value verification monitoring statistical analysis of the first adjustment monitoring cycle is implemented for all local monitoring areas with slight abnormalities, and a periodic fixed value verification monitoring statistical analysis of the second adjustment monitoring cycle is implemented for all local monitoring areas with severe abnormalities;

[0066] The second adjustment monitoring period has a shorter interval than the first adjustment monitoring period, and the first adjustment monitoring period has a shorter interval than the basic monitoring period.

[0067] Furthermore, targeted simulation verification and parameter optimization and update of fixed value verification are carried out for all abnormal distribution network equipment.

[0068] Specifically, simulation verification can use power system simulation software (such as PSCAD, DigSilent, or ETAP) to simulate the protection action; simulate different types of faults, observe the action behavior of the protection device, and determine whether it meets the design expectations and whether there is a risk of false operation or refusal to operate.

[0069] In an embodiment of the present invention, targeted fixed value calibration decision management is implemented for different local monitoring areas and different distribution network equipment through the overall fixed value calibration status corresponding to different local monitoring areas and the local fixed value calibration status corresponding to different distribution network equipment obtained through preliminary processing and analysis, thereby improving the multi-dimensional supervision effect of the distribution network and the overall decision-making effect of the expanded utilization of multi-dimensional supervision analysis data.

[0070] In addition, the formulas involved in the above are all calculated by removing dimensions and taking their numerical values. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it through simulation software.

[0071] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative. For example, the division of modules is only a logical function division, and other division methods may be used in actual implementation.

[0072] Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, and may be located in one place or distributed across multiple network modules. Some or all of these modules may be selected to achieve the objectives of this embodiment based on actual needs.

[0073] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or hardware plus software functional modules.

[0074] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, but that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A distribution network fixed value verification big data integration processing decision system, characterized by: include: The distribution network area division monitoring module is used to divide different areas of the distribution network into local monitoring areas, and implement monitoring statistics on the fixed value verification of different distribution network equipment in the different divided local monitoring areas to obtain a fixed value verification monitoring set; the fixed value verification monitoring set includes the local fixed value verification monitoring sets corresponding to different local monitoring areas, and the local fixed value verification monitoring set includes the distribution network equipment verification sequence corresponding to all distribution network equipment in the local monitoring area; The fixed value calibration data processing and analysis module is used to digitally process and analyze the fixed value calibration status corresponding to different distribution network devices in different local monitoring areas of the distribution network based on the fixed value calibration monitoring total set, obtain the local fixed value calibration status value and marking status corresponding to different distribution network devices, and determine the overall fixed value calibration status value and marking status corresponding to the local monitoring area based on the local fixed value calibration status corresponding to all distribution network devices in the local monitoring area; Among them, the status marks of different distribution network devices include normal distribution network device marks or abnormal distribution network device marks; the status marks corresponding to different local monitoring areas include normal local monitoring area marks, slightly abnormal local monitoring area marks or severely abnormal local monitoring area marks; The distribution network fixed value calibration processing decision module is used to implement targeted fixed value calibration decision management for different local monitoring areas and different distribution network equipment based on the overall fixed value calibration status corresponding to different local monitoring areas and the local fixed value calibration status corresponding to different distribution network equipment obtained by analysis; Among them, when implementing targeted fixed value verification decision management for different local monitoring areas, periodic fixed value verification monitoring statistical analysis of the first adjustment monitoring cycle is implemented for the marked local monitoring areas with different mild anomalies and local monitoring areas with severe anomalies, and periodic fixed value verification monitoring statistical analysis of the second adjustment monitoring cycle is implemented for all local monitoring areas with severe anomalies; in addition, targeted simulation verification and fixed value verification parameter optimization and update are implemented for all abnormal distribution network equipment that appear; Divide different areas of the distribution network into several local monitoring areas, number different distribution network devices in different local monitoring areas, and obtain the corresponding fixed value verification type and corresponding verification type value of different distribution network devices; During the basic monitoring period, the calibration time points corresponding to the fixed value calibration actions of different distribution network equipment are obtained, and the calibration status corresponding to the fixed value calibration actions is traced and counted to obtain the verification status results; The numbers, verification type values, verification time points, and verification status results corresponding to different distribution network devices are sorted and combined to obtain the distribution network device verification sequence; Arrange and combine the distribution network equipment verification sequences corresponding to all distribution network equipment in different local monitoring areas to obtain a local fixed value verification monitoring set; Sort and combine the local fixed value verification monitoring sets corresponding to different local monitoring areas to obtain the total fixed value verification monitoring set; When digitally processing the fixed value verification status corresponding to different distribution network devices in different local monitoring areas, the corresponding numbers of the distribution network devices are traversed and searched in the fixed value verification monitoring set to obtain the corresponding distribution network device verification sequence; Traverse the calibration sequence of distribution network equipment to obtain calibration status results associated with different calibration time points, and digitally process the calibration normal action state, calibration malfunction state, or calibration rejection action state in the calibration status results to obtain the corresponding calibration status value JZi, where i=1, 2, 3, ..., n; n is a positive integer; All the calibration processing data implemented by the distribution network equipment within the basic monitoring period are calculated through formulas to obtain the corresponding local fixed value calibration status values; The calculation formula for the local fixed value verification status value of the distribution network equipment is: Where, S(JZi) is the local fixed value calibration status value of the distribution network equipment, and SQi is the calibration type value of the distribution network equipment; When determining the local fixed value calibration state of the distribution network device according to the local fixed value calibration state value, if the local fixed value calibration state value is 0, a normal calibration signal is generated and the distribution network device is marked as a normal distribution network device; If the local fixed value check status value is not 0, an abnormal check signal is generated and the corresponding distribution network device is marked as an abnormal distribution network device; Count the total number of abnormal distribution network devices in the local monitoring area N and analyze them. If the total number of abnormalities is 0, generate a local area calibration normal signal and mark the overall fixed value calibration status value corresponding to the local monitoring area as 0, and mark the local monitoring area as a normal local monitoring area; If the total number of abnormalities is not 0, a local area calibration abnormality signal is generated, and the overall fixed value calibration state value ZZ corresponding to the local monitoring area is obtained by calculation according to the local area calibration abnormality signal; The calculation formula for the overall fixed value verification status value corresponding to the local monitoring area is: ; In the formula, [*] is the integral function, and A is the standard value of the fixed value calibration state.

2. A distribution network fixed value verification big data integration processing decision system according to claim 1, characterized in that: Analyze the calculated overall fixed value check state value. If the overall fixed value check state value is 1, generate a check overall slight abnormality signal and mark the local monitoring area as a slight abnormality local monitoring area. If the overall constant value verification status value is not 1, a verification overall severe abnormality signal is generated and the local monitoring area to which it belongs is marked as a severe abnormality local monitoring area.

3. The distribution network fixed value verification big data integration processing decision system according to claim 1 is characterized in that: The interval duration of the second adjustment monitoring period is shorter than the interval duration of the first adjustment monitoring period, and the interval duration of the first adjustment monitoring period is shorter than the interval duration of the basic monitoring period.

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