Regulatory integration analysis method based on multidimensional data

Abstract

The application discloses a regulation and integration analysis method based on multidimensional data, comprising the following steps: S1, obtaining a device list, port information and device attribute information in a management domain to construct a power monitoring topology graph; S2, performing regional division on the power monitoring topology graph based on the device attribute information to obtain a plurality of functional partitions; S3, obtaining a first influence factor of each device in each functional partition on the power-off state of the current functional partition, and obtaining a second influence factor of each functional partition relative to the power-off state of the power consumption area; S4, constructing a power equipment inspection table according to the first influence factor and the second influence factor; and S5, performing a power dispatching task according to the power equipment inspection table by an inspection personnel. When a multi-partition fault occurs, the application can prioritize the functional partitions and the devices in the corresponding functional partitions according to the power equipment inspection table, directional inspection can be realized, the fault equipment can be locked more efficiently, and the efficiency of the inspection dispatching is improved.

Description

Technical Field

[0001] This invention relates to the field of power inspection and dispatching technology, specifically to an integrated control and dispatching analysis method based on multidimensional data. Background Technology

[0002] Because power systems involve numerous devices and long lines, when a power system encounters a fault, it is necessary to accurately analyze the cause of the fault and react promptly based on the analysis results to reduce the damage caused by the power failure. The existing power grid operation and management model is unified dispatch and hierarchical management. According to the different functional attributes they undertake, power lines and their equipment can be managed in zones. Functional zones generally include transmission lines, distribution lines, power plants, substations, and distribution stations, etc. Different zones undertake different power tasks in the power system, but there are some coupling relationships between different functional zones. A fault in each functional zone will affect the power quality at the user end. To achieve integrated dispatch and analysis of the power system, it is necessary to analyze the data of each functional zone. When multiple functional zones fail simultaneously, it is difficult to trace the cause of the fault through the common results. It requires a large number of inspection personnel to check each zone and each piece of equipment one by one. The lack of phase-specific inspection guidance leads to extremely low inspection efficiency.

[0003] The information disclosed in the background section is only intended to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0004] The purpose of this invention is to address the problem of low inspection efficiency caused by the lack of inspection guidance for multi-zone faults in existing technologies. It proposes an integrated control and analysis method based on multi-dimensional data. By constructing a simulated power monitoring topology, the topology is functionally divided and data analyzed to obtain the second influencing factor of the power outage state of each functional zone relative to the power consumption area. Simultaneously, the first influencing factor of each deployed device within each function relative to the current power outage state of the functional zone is obtained. Based on the first and second influencing factors, a power equipment inspection table is constructed. When a multi-zone fault occurs, the functional zone and its corresponding deployed devices can be prioritized for inspection according to the power equipment inspection table. This enables targeted inspection, more efficiently pinpointing faulty devices and improving the efficiency of inspection and scheduling.

[0005] In a first aspect, one technical solution provided in this embodiment of the invention is a multi-dimensional data-based integrated control and analysis method, comprising the following steps:

[0006] S1. Obtain the device list, port information, and device attribute information within the management domain to construct a power monitoring topology map;

[0007] S2. Based on the device attribute information, the power monitoring topology map is divided into several functional zones.

[0008] S3. Obtain the first influencing factor of each deployment device within each functional zone on the power outage status of the current functional zone; obtain the second influencing factor of each functional zone relative to the power outage status of the power consumption area.

[0009] S4. Construct a power equipment inspection checklist based on the first and second influencing factors;

[0010] S5. Inspection personnel perform power dispatching tasks according to the power equipment inspection form.

[0011] Preferably, the step of obtaining the device list, port information, and device attribute information within the management domain to construct the power monitoring topology map includes the following steps:

[0012] S21. Construct a virtual map to generate a coordinate map that matches the management domain, extract the geographic information of the deployed devices from the device list and map it onto the coordinate map to locate the deployed devices;

[0013] S22. Construct electrical connection logic based on the port information of each delivery device;

[0014] S23. Connect several delivery devices into the power monitoring topology using electrical connection logic.

[0015] Preferably, the step of dividing the power monitoring topology map into several functional partitions based on device attribute information includes the following steps:

[0016] S21. Obtain the functional attributes from the device attribute information, and divide the deployment device into functional zones according to the functional attributes;

[0017] S23. Obtain the topological relationship information of each functional partition relative to other functional partitions.

[0018] Preferably, the functional zones include a power equipment zone, a power transmission equipment zone, and a power equipment zone.

[0019] Preferably, the substation equipment zone includes a substation monitoring server; the transmission equipment zone includes a transmission monitoring server; and the distribution equipment zone includes a distribution monitoring server. The substation monitoring server, the transmission monitoring server, and the transmission monitoring server interact with the dispatching platform, respectively.

[0020] Preferably, obtaining the first influencing factor of each deployment device within each functional zone on the current power outage state of the functional zone includes the following steps:

[0021] Obtain the power outage elements and recovery factors of the corresponding deployment equipment in each functional zone, and obtain the first impact factor of the corresponding deployment equipment based on the power outage elements and recovery factors.

[0022] Preferably, the power outage elements and recovery factors of the corresponding deployment equipment within each functional zone are used to obtain the first influence factor of the corresponding deployment equipment based on the power outage elements and recovery factors, including:

[0023] The key equipment affected by the power outage was identified based on the port information of the deployment device.

[0024] Obtain the historical failure rate a of the i-th critical equipment during a power outage. i-1 As a factor in power outages;

[0025] Obtain the historical fault repair time t of the i-th critical equipment during a power outage. i-1 As a recovery factor;

[0026] Based on the historical failure rate a of the i-th critical equipment during power outages i-1 and fault repair time t i-1 The product of these factors serves as the primary influencing factor θ for critical equipment during current power outages. i-1 Let θ be the symbol. i-1 =a i-1 ·t i-1 .

[0027] Preferably, obtaining the second influence factor of the power outage status of each functional zone relative to the power consumption area includes: obtaining the first influence factor of all deployed devices in the functional zone and performing an accumulation calculation to obtain the second influence factor of the current functional zone.

[0028] Preferably, the step of constructing the power equipment inspection table based on the first and second influencing factors includes the following steps:

[0029] Obtain the first impact factor corresponding to each delivery device within the functional area, and encode the current delivery device according to the first impact factor of each delivery device from large to small to construct the first inspection table;

[0030] Obtain the second influence factor corresponding to each functional partition within the management domain, and encode the current functional partition in descending order of the second influence factor corresponding to each functional partition to construct a second inspection table;

[0031] The inspection information in the first inspection table is embedded into the sequence bit of the corresponding functional partition of the second inspection table to obtain the power equipment inspection table.

[0032] Preferably, the inspection personnel perform power dispatching tasks according to the power equipment inspection checklist, including:

[0033] The dispatch platform obtains power outage status information for unplanned power consumption areas;

[0034] Inspection and dispatch tasks are generated using the power equipment inspection form. The inspection and dispatch tasks include information on the inspection and dispatch personnel and information on the inspection tool list.

[0035] A single dispatcher performs inspections of operational amplifiers within a functional block based on the inspection priority corresponding to the power equipment inspection schedule; or

[0036] The scheduler, who matches the number of functional blocks, performs inspection operations based on the inspection priority of the operational amplifier devices within the corresponding functional blocks.

[0037] The beneficial effects of this invention are as follows: This invention proposes an integrated control and analysis method based on multi-dimensional data. By constructing a simulated power monitoring topology map, the topology map is functionally divided and data analyzed to obtain the second influencing factor of the power outage state of each functional partition relative to the power consumption area. Simultaneously, the first influencing factor of each deployment device within each function relative to the current power outage state of the functional partition is obtained. Based on the second influencing factor, the functional partitions are prioritized for inspection to obtain a second inspection table. Based on the first influencing factor, the deployment devices within the functional partitions are prioritized for inspection to obtain a first inspection table. By editing the first and second inspection tables, a power equipment inspection table is obtained. When multiple partitions are faulty, the functional partitions and their corresponding deployment devices can be prioritized for inspection based on the power equipment inspection table. This enables targeted inspection, more efficiently locating faulty devices, and improving the efficiency of inspection and scheduling.

[0038] The above description of the invention is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0039] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings.

[0040] Figure 1 This is a flowchart of the integrated control and analysis method based on multidimensional data according to the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only one preferred embodiment of this invention and are only used to explain this invention. They do not limit the scope of protection of this invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0042] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations (or steps) can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the figures; the process may correspond to a method, function, procedure, subroutine, subroutine, etc.

[0043] Example: Figure 1 As shown, the integrated control and regulation analysis method based on multidimensional data includes the following steps:

[0044] S1. Obtain the device list, port information, and device attribute information within the management domain to construct a power monitoring topology map.

[0045] Specifically:

[0046] S21. Construct a virtual map to generate a coordinate map that matches the management domain, extract the geographic information of the deployed devices from the device list and map it onto the coordinate map to locate the deployed devices;

[0047] S22. Construct electrical connection logic based on the port information of each delivery device;

[0048] S23. Connect several delivery devices into the power monitoring topology using electrical connection logic.

[0049] Understandably, the constructed power monitoring topology map can greatly restore the distribution of power equipment in the entire power system. The power monitoring topology map can be partitioned according to the functional attributes it undertakes, allowing for a more intuitive grasp of the equipment topology relationships in the power system.

[0050] S2. Based on the device attribute information, the power monitoring topology map is divided into several functional zones.

[0051] Specifically:

[0052] S21. Obtain the functional attributes from the device attribute information, and divide the deployment device into functional zones according to the functional attributes;

[0053] S23. Obtain the topological relationship information of each functional partition relative to other functional partitions.

[0054] It is understandable that the topological relationship information between each functional partition includes connection relationship information and data flow information, and the cause of the fault can be traced back through the data flow information.

[0055] As a further supplement to this embodiment, the functional partitions include a power distribution equipment partition, a power transmission equipment partition, and a power distribution equipment partition; the power distribution equipment partition includes a power distribution monitoring server; the power transmission equipment partition includes a power transmission monitoring server; and the power distribution equipment partition includes a power distribution monitoring server. The power distribution monitoring server, the power transmission monitoring server, and the power distribution monitoring server interact with the dispatching platform respectively.

[0056] S3. Obtain the first influencing factor of each deployment device within each functional zone on the power outage status of the current functional zone; obtain the second influencing factor of each functional zone relative to the power outage status of the power consumption area.

[0057] Specifically, the primary influencing factor of each deployment device within a functional zone on the current power outage status of that functional zone includes the following steps:

[0058] Obtain the power outage elements and recovery factors of the corresponding deployment equipment in each functional zone, and obtain the first impact factor of the corresponding deployment equipment based on the power outage elements and recovery factors.

[0059] Furthermore, for each functional zone, the power outage elements and recovery factors corresponding to the deployed equipment are used to obtain the first influencing factor for the corresponding deployed equipment, including:

[0060] The key equipment affected by the power outage was identified based on the port information of the deployment device.

[0061] Obtain the historical failure rate a of the i-th critical equipment during a power outage. i-1 As a factor in power outages;

[0062] Obtain the historical fault repair time t of the i-th critical equipment during a power outage. i-1 As a recovery factor;

[0063] Based on the historical failure rate a of the i-th critical equipment during power outages i-1 and fault repair time t i-1 The product of these factors serves as the primary influencing factor θ for critical equipment during current power outages. i-1 Let θ be the symbol. i-1 =a i-1 ·t i-1 .

[0064] As a specific implementation of this embodiment, obtaining the second influencing factor of the power outage state of each functional zone relative to the power consumption area includes:

[0065] Obtain the first impact factor of all deployed devices within the functional zone and perform cumulative calculation to obtain the second impact factor of the current functional zone.

[0066] S4. Construct a power equipment inspection table based on the first and second influencing factors.

[0067] Specifically, obtain the first impact factor corresponding to each delivery device within the functional area, and encode the current delivery device according to the first impact factor corresponding to each delivery device from large to small to construct the first inspection table;

[0068] Obtain the second influence factor corresponding to each functional partition within the management domain, and encode the current functional partition in descending order of the second influence factor corresponding to each functional partition to construct a second inspection table;

[0069] The inspection information in the first inspection table is embedded into the sequence bit of the corresponding functional partition of the second inspection table to obtain the power equipment inspection table.

[0070] S5. Inspection personnel perform power dispatching tasks according to the power equipment inspection form.

[0071] Specifically, the dispatch platform obtains power outage status information for unplanned power consumption areas;

[0072] Inspection and dispatch tasks are generated using the power equipment inspection form. The inspection and dispatch tasks include information on the inspection and dispatch personnel and information on the inspection tool list.

[0073] A single dispatcher performs inspections of operational amplifiers within a functional block based on the inspection priority corresponding to the power equipment inspection schedule; or

[0074] The scheduler, who matches the number of functional blocks, performs inspection operations based on the inspection priority of the operational amplifier devices within the corresponding functional blocks.

[0075] The following beneficial effects can be achieved through the embodiments of this application: This application constructs a simulated power monitoring topology map, performs functional division and data analysis on the topology map, obtains the second influencing factor of the power outage state of each functional partition relative to the power consumption area, and simultaneously obtains the first influencing factor of each deployment device within each function relative to the current power outage state of the functional partition. Based on the second influencing factor, the functional partition is prioritized for inspection to obtain a second inspection table, and based on the first influencing factor, the deployment devices within the functional partition are prioritized for inspection to obtain a first inspection table. By editing the first and second inspection tables, a power equipment inspection table is obtained. When multiple partitions are faulty, the functional partitions and the corresponding deployment devices in the functional partitions can be prioritized for inspection according to the power equipment inspection table, which can achieve targeted inspection, more efficiently locate faulty devices, and improve the efficiency of inspection and scheduling.

[0076] The specific embodiments described above are preferred embodiments of the integrated control and analysis method based on multidimensional data of the present invention, and are not intended to limit the specific scope of the present invention. The scope of the present invention includes but is not limited to the specific embodiments described above. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. A method for integrated regulation and control analysis based on multidimensional data, characterized by: Includes the following steps: S1. Obtain the device list, port information, and device attribute information within the management domain to construct a power monitoring topology map; S2. Based on the device attribute information, the power monitoring topology map is divided into several functional zones. S3. Obtain the first influencing factor of each deployment device within each functional zone on the power outage status of the current functional zone; obtain the second influencing factor of each functional zone relative to the power outage status of the power consumption area. S4. Construct a power equipment inspection checklist based on the first and second influencing factors; S5. Inspection personnel perform power dispatching tasks according to the power equipment inspection checklist; The step of obtaining the first influencing factor of each deployment device within each functional zone on the current power outage state of the functional zone includes the following steps: The key equipment affected by the power outage was identified based on the port information of the deployment device. Obtain the historical failure rate of the i-th critical equipment during a power outage. As a factor in power outages; Obtain the historical fault repair time of the i-th critical equipment during a power outage. As a recovery factor; Based on the historical failure rate of the i-th critical power outage equipment and troubleshooting time The product of these factors serves as the primary influencing factor for key equipment in current power outages. ,remember: ; The process of obtaining the second influencing factor of the power outage status of each functional zone relative to the power consumption area includes: Obtain the first impact factor of all deployment devices within the functional zone and sum them up to obtain the second impact factor of the current functional zone; The process of constructing a power equipment inspection checklist based on the first and second influencing factors includes the following steps: Obtain the first impact factor corresponding to each delivery device within the functional area, and encode the current delivery device according to the first impact factor of each delivery device from large to small to construct the first inspection table; Obtain the second influence factor corresponding to each functional partition within the management domain, and encode the current functional partition in descending order of the second influence factor corresponding to each functional partition to construct a second inspection table; The inspection information in the first inspection table is embedded into the sequence bit of the corresponding functional partition of the second inspection table to obtain the power equipment inspection table.

2. The integrated control and analysis method based on multidimensional data according to claim 1, characterized in that: The process of obtaining the device list, port information, and device attribute information within the management domain to construct a power monitoring topology map includes the following steps: S11. Construct a virtual map to generate a coordinate map that matches the management domain, extract the geographic information of the deployed devices from the device list and map it onto the coordinate map to locate the deployed devices; S12. Construct electrical connection logic based on the port information of each delivery device; S13. Connect several delivery devices into the power monitoring topology using electrical connection logic.

3. The integrated control and regulation analysis method based on multidimensional data according to claim 1, characterized in that: The process of dividing the power monitoring topology map into several functional zones based on device attribute information includes the following steps: S21. Obtain the functional attributes from the device attribute information, and divide the deployment device into functional zones according to the functional attributes; S22. Obtain the topological relationship information of each functional partition relative to other functional partitions.

4. The integrated control and regulation analysis method based on multidimensional data according to claim 1 or 3, characterized in that: The functional zones include power equipment zones, power transmission equipment zones, and power distribution equipment zones.

5. The integrated control and regulation analysis method based on multidimensional data according to claim 4, characterized in that: The substation equipment zone includes a substation monitoring server; the transmission equipment zone includes a transmission monitoring server; and the distribution equipment zone includes a distribution monitoring server. The substation monitoring server, transmission monitoring server, and distribution monitoring server interact with the dispatching platform, respectively.

6. The integrated control and regulation analysis method based on multidimensional data according to claim 1, characterized in that: The inspection personnel perform power dispatching tasks according to the power equipment inspection checklist, including: The dispatch platform obtains power outage status information for unplanned power consumption areas; Inspection and dispatch tasks are generated using the power equipment inspection form. The inspection and dispatch tasks include information on the inspection and dispatch personnel and information on the inspection tool list. A single dispatcher performs inspections on the deployed equipment within a functional block based on the inspection priority corresponding to the power equipment inspection schedule; or The dispatchers, who match the number of functional blocks, perform inspection operations based on the inspection priority of the deployment devices within the corresponding functional blocks.

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