Graph-reality consistency checking method and system based on local topology updating

Abstract

The invention relates to the technical field of power grid graph-reality consistency checking, and particularly discloses a graph-reality consistency checking method and system based on local topology updating. Aiming at the condition that more terminal devices which cannot be directly replaced exist in an existing transformer area, edge nodes are arranged on a target transformer area according to an area division mode so as to construct a basic hardware architecture, a power grid topology is constructed in a mode of combining edge calculation with a dynamic updating mechanism, and local updating is realized; according to the method, the topological graph of the target transformer area is completed, data transmission and calculation loads of a power grid cloud control end are saved under the condition that the topological updating accuracy is guaranteed, and the topological updating efficiency of the target transformer area is improved. According to the method and the device, the problem that the topology updating is not timely and inaccurate due to the fact that more terminal devices which cannot be directly replaced exist in the existing transformer area is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid graph-to-real consistency verification, and more specifically to: 1. a graph-to-real consistency verification method based on local topology update; 2. a graph-to-real consistency verification system based on local topology update. Background Art

[0002] "Diagram-reality consistency" means that the graphical representation of the power grid (such as single-line diagrams, wiring diagrams and other topological diagrams) is consistent with the status and connection methods of the actual physical equipment to ensure the safety and efficiency of the power grid operation. If "diagram-reality inconsistency" occurs, hidden dangers and problems in the operation of the power grid will arise. For example, if a device in a certain area is disconnected and offline, but the corresponding topological diagram still shows a connected state at that location, it will mislead the statistics and allocation of the power grid, and cause local power supply overload, resulting in accelerated aging or even damage of the equipment at that location. Therefore, ensuring "diagram-reality consistency" is the primary requirement of the power grid.

[0003] At present, there are many terminal devices that were built earlier in a certain target substation (that is, the substation includes several old communities, and the old electric meter devices are used in the old communities, and there are also related duplications in the line connections). The problem of not being able to monitor data in real time has caused the grid topology structure of the substation to be incomplete, and the update is not timely and accurate. However, after cost evaluation, if all these terminal devices are replaced with new terminal devices (such as smart meters), not only will the cost be high, but it will also involve a major transformation of the lines, which will greatly increase the time required for the transformation and affect users' daily electricity consumption. For these reasons, it is necessary to design a topology update solution for the substation to achieve timely and accurate updates of the substation topology map. Summary of the invention

[0004] Based on this, it is necessary to provide a method and system for graph-reality consistency verification based on local topology update to address the problem of untimely and inaccurate topology updates in existing substations due to the presence of a large number of terminal devices that cannot be directly replaced.

[0005] The present invention is implemented by the following technical solutions: In a first aspect, the present invention discloses a method for checking graph-real consistency based on local topology update, comprising: Step 1: first divide the terminal devices in the target area according to the municipal map identification, and then deploy edge nodes for the terminal devices in the same power consumption area so that the terminal devices can be connected to the power grid cloud control terminal through the edge nodes; Step 2: The edge node collects data from its subordinate terminal devices and pre-processes the collected raw data based on the edge node's own computing power; Step 3: Analyze the pre-processed device data based on the computing power of the edge node itself to construct a device topology map; Step 4: Update the device topology map based on the dynamic update mechanism; The dynamic update mechanism includes: S401, updating a local sub-graph of a device topology graph according to a change increment of the pre-processed device data; S402, performing electrical measurement verification on the updated local sub-graph; If the electrical measurement verification passes, the entire device topology map is updated according to the updated local sub-map, and the corresponding incremental update record is generated; If the electrical measurement verification fails, the entire device topology diagram will not be updated and an error record will be generated.

[0006] This graph-to-real consistency verification method based on local topology update implements the method or process according to the embodiment of the present disclosure.

[0007] In a second aspect, the present invention discloses a graph-reality consistency checking system based on local topology updating, which uses the graph-reality consistency checking method based on local topology updating disclosed in the first aspect.

[0008] The graph-reality consistency checking system based on local topology updating includes: layout and transformation module, data collection and preprocessing module, topology graph construction module, and topology dynamic updating module.

[0009] The deployment and transformation module is used to first divide the terminal equipment in the target area according to the municipal map identification, and then deploy edge nodes for the terminal equipment in the same power consumption area so that the terminal equipment can be connected to the power grid cloud control terminal through the edge nodes. The data acquisition and preprocessing module is used to collect data from its subordinate terminal devices through edge nodes, and preprocess the collected raw data based on the computing power of the edge nodes themselves. The topology map construction module is used to analyze the preprocessed device data based on the computing power of the edge nodes themselves to construct a device topology map. The topology dynamic update module is used to update the device topology map based on the dynamic update mechanism.

[0010] This graph-reality consistency checking system based on local topology update implements the method or process according to the embodiment of the present disclosure.

[0011] In a third aspect, the present invention discloses a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the graph-real consistency checking method based on local topology update disclosed in the first aspect are implemented.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. Aiming at the situation where there are many terminal devices in the existing substations that cannot be directly replaced, the present invention arranges edge nodes in the target substations according to the regional division to build a basic hardware architecture, and uses edge computing combined with a dynamic update mechanism to build the power grid topology and realize localized update. It not only completes the topology map of the target substation, but also saves data transmission and computing load on the power grid cloud control end while ensuring the accuracy of the topology update, thereby improving the efficiency of the target substation topology update.

[0013] 2. When performing localized updates, the present invention relies on device data collected by edge nodes to analyze key events, and considers the physical constraints of power grid devices to resolve event conflicts, thereby achieving node consistency and ensuring the effect of local topology updates. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0015] Figure 1 A flowchart of a method for checking graph-to-real consistency based on local topology update provided in Example 1 of the present invention; Figure 2 for Figure 1 Flowchart of step 3 in the figure; Figure 3 for Figure 2 The flowchart of S301; Figure 4 for Figure 1 Flowchart of step 4 in the figure; Figure 5 for Figure 4 Flowchart of S401 in FIG. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] It should be noted that when a component is referred to as being "mounted on" another component, it may be directly on the other component or there may be a central component. When a component is considered to be "set on" another component, it may be directly set on the other component or there may be a central component at the same time. When a component is considered to be "fixed to" another component, it may be directly fixed on the other component or there may be a central component at the same time.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "or / and" used herein includes any and all combinations of one or more of the related listed items.

[0019] Example 1 First of all, it should be noted that the graph-to-reality consistency verification method based on local topology update provided in this embodiment 1 is intended to solve the target substation mentioned in the background technology - the substation includes several old communities, and the old communities use old electric meter equipment and the line connections also have related duplication.

[0020] See also Figure 1 , Figure 1 The flowchart of the method for checking the consistency between graph and reality based on local topology update disclosed in Example 1 of the present invention is shown, which specifically includes the following steps: Step 1: First, divide the terminal devices in the target area according to the municipal map signs, and then deploy edge nodes for the terminal devices in the same power consumption area so that the terminal devices can be connected to the power grid cloud control end through the edge nodes.

[0021] As mentioned above, the target area includes several street communities, so the most direct and simple way to divide the area is to take a street community as a power consumption area, and assign the terminal equipment to the corresponding power consumption area according to its installation location. For easy understanding, the following example is given: If the target area includes: Street Area 1 and Street Area 2, there are terminal devices A, B, C, and D; among them, A and C are installed in Street Area 1, and B and D are installed in Street Area 2. Then, Street Area 1 is regarded as power consumption area 1, and A and C belong to power consumption area 1; Street Area 2 is regarded as power consumption area 2, and B and D belong to power consumption area 2.

[0022] In order to realize the topology of the substation area without replacing the terminal equipment, after the terminal equipment is divided into regions, edge nodes are deployed in the middle layer between the terminal equipment and the power grid cloud control end to achieve connection.

[0023] An edge node is a hardware-software complex with computing, storage and communication capabilities, usually deployed at the edge of the network close to data sources (such as sensors and actuators). In this method, it is used as a "bridge" between terminal devices and the power grid cloud control end.

[0024] In this embodiment 1, the edge nodes used include: a centralized master node and a distributed sub-node. Specifically, the edge nodes are arranged according to the following rules: For a certain electricity consumption area, a centralized main node is deployed next to its main distribution transformer, and several distributed sub-nodes are deployed in the distribution box of each building or the meter concentration box to connect to the terminal equipment nearby. One side of the centralized main node is connected to the distributed sub-nodes and summarizes the data of all distributed sub-nodes, and the other side is connected to the power grid cloud control end.

[0025] Generally, wireless modules (such as 4G, 5G, etc.) are recommended for uplink communication of centralized master nodes, and wired connections (such as RS-485, M-Bus, etc.) are recommended for downlink communication. Wired connections (such as RS-485, M-Bus, etc.) are recommended for uplink and downlink communication of distributed sub-nodes.

[0026] Step 2: The edge node collects data from its subordinate terminal devices and pre-processes the collected raw data based on the edge node's own computing power.

[0027] Since the terminal equipment in the target area can only record data or simply execute instructions, data is collected from the terminal equipment and pre-processed through the edge node.

[0028] Since step 1 adopts the method of centralized master node and distributed sub-node, the distributed sub-node can obtain the data of its subordinate terminal equipment through the sensors (such as switch controller or non-intrusive sensor) equipped with it, such as: switch status (i.e., whether the circuit breaker or disconnector is open or closed), electrical parameters (i.e., voltage, current, power and other values), equipment identification (i.e., equipment ID, model, rated parameters, etc.). In other words, the types of original data include: switch status, electrical parameters, equipment identification, etc.

[0029] The collected raw data needs to be preprocessed. If it is transmitted back to the power grid cloud control end through a centralized main node, it will be processed untimely due to data transmission delays and cloud control end response delays. Therefore, the edge node (distributed sub-nodes or centralized main nodes) is used to preprocess the collected raw data with its own computing power, including noise filtering, time alignment, data cleaning, and feature extraction.

[0030] The following is an explanation of the preprocessing method: 1. Noise filtering: Use Kalman filtering or wavelet denoising to process the data to eliminate noise.

[0031] 2. Time alignment: Process data based on the NTP protocol or PTP protocol to ensure that the error between the data timestamp and the actual time does not exceed 1ms.

[0032] 3. Data cleaning: Delete abnormal data points; fill in missing data points using linear interpolation or based on the correlation between neighboring devices.

[0033] 4. Feature extraction: Associate electrical parameters with terminal equipment to examine voltage and power fluctuations, current phase differences, etc.

[0034] Step three: Analyze the pre-processed device data based on the computing power of the edge node itself to build a device topology map.

[0035] Similar to step 2, the pre-processed device data needs to be analyzed. If it is transmitted back to the power grid cloud control end, the analysis will be delayed due to data transmission delays and cloud control end response delays. Therefore, the edge node’s own computing power is used to analyze the pre-processed device data.

[0036] For details, see Figure 2 ,The analysis method (i.e., the method of constructing the device topology map) includes: S301 , aggregate pre-processed device data belonging to the same distributed sub-node to generate a corresponding local topology fragment.

[0037] Data aggregation is actually the process of preliminary analysis and integration of terminal device data under the jurisdiction of edge nodes, aiming to transform scattered device data into structured topological fragments.

[0038] For details, see Figure 3 , S301 includes: S3011, performing an initial topology construction based on the switch state to obtain a skeleton topology.

[0039] Skeleton topology refers to the initial topological structure, which can be viewed as a graphical representation of an adjacency matrix or edge list. A rule engine is usually used to construct the skeleton topology.

[0040] For ease of understanding, let's take an example: for a switch S1, consider its real-time state: when S1 is closed, the devices at both ends are connected (such as the upstream bus-switch S1-device B); when S1 is open, the downstream devices are disconnected, forming an island.

[0041] By traversing all switches in this way, a connection path is constructed and a skeleton topology is formed.

[0042] S3012, perform electrical correction on the skeleton topology based on electrical parameters and device identification.

[0043] Generally, electrical correction mainly uses: voltage correlation analysis and flow direction analysis.

[0044] 1. The theoretical basis of voltage correlation analysis is that the voltage fluctuation heights of devices under the same bus are correlated. Then, the Pearson correlation coefficient of the voltage series of each device is calculated, and the devices whose Pearson correlation coefficient exceeds the threshold (generally set to 0.95) are merged into the same bus.

[0045] 2. The theoretical basis of energy direction analysis is: judging the flow direction of the power flow by the current phase, and then determining the hierarchical relationship of the equipment. Then, compare the current phase difference of adjacent equipment; if the current phase difference is ≈0°, they are at the same level; if the current phase difference is ≈180°, they are at the upper and lower levels.

[0046] S3013, using a graph theory algorithm to optimize the electrically corrected skeleton topology to obtain local topological fragments.

[0047] As a mathematical tool, graph theory algorithm can optimize the skeleton topology after electrical modification from the dimensions of structural simplification, reliability improvement, and economical operation through algorithms such as minimum spanning tree, shortest path, and network flow.

[0048] S302: merge local topology fragments belonging to the same centralized master node to obtain a device topology map.

[0049] Since there are duplicate line connection associations in the target area, the same device may appear under different distributed nodes (and in corresponding different local topology fragments), so such devices will be deduplicated when merging lines.

[0050] Step 4: Update the device topology map based on the dynamic update mechanism.

[0051] The dynamic update mechanism is designed to respond to device status changes in real time to minimize computational overhead and communication latency, ensuring topology accuracy and consistency.

[0052] See also Figure 4 , the dynamic update mechanism can be designed as follows: S401, updating a local sub-graph of a device topology graph according to a change increment of the pre-processed device data.

[0053] like Figure 5 As shown, S401 specifically includes: S4011, calculating the change increment of the pre-processed device data in chronological order; Since the pre-processed device data has been time-aligned and other operations have been performed, the changes in electrical parameters can be directly and accurately analyzed based on the timestamp.

[0054] S4012, analyzing the key events that trigger the topology update from the change increment; Among them, key events include: switch state changes and abnormal electrical value fluctuations. Switch state changes can be considered as the core event that triggers topology updates; abnormal electrical value fluctuations may imply topology changes. Generally, key events can be analyzed based on rule engines or lightweight machine learning models (such as decision trees).

[0055] S4013, processing key events based on physical constraints of power grid devices; Among them, the physical constraints of power grid devices generally refer to: mutual exclusion constraints of device states (for example, a switch cannot exist in two states at the same time), topological connection consistency constraints (for example, a closed switch has no hanging connections), and electrical parameter compatibility constraints (for example, the voltage levels of connected devices must be consistent).

[0056] As recorded in S302, due to the duplication of line connection associations in the target substation, the same device may appear under different distributed nodes. For example, a switch S1 appears under both distributed node E and distributed node F, and the key events analyzed are: distributed node E reports that switch S1 is closed at time T; distributed node F reports that switch S1 is open at time T, which violates the mutual exclusion constraint of device status. Topological connection consistency constraints and electrical parameter compatibility constraints are similar and will not be repeated here.

[0057] Therefore, if multiple key events violate the physical constraints of the power grid device, an event conflict occurs, and the event conflict is resolved to retain the key events that comply with the physical constraints of the power grid device.

[0058] Specifically, if the event conflict violates the mutual exclusion constraint of the device state, the latest or most trusted state can be selected based on the timestamp and credibility; if the event conflict violates the topology connection consistency constraint, a topology scan can be triggered to determine the integrity of the topology connection; if the event conflict violates the electrical parameter compatibility constraint, the controllable device can be adjusted or the load can be removed. Of course, event conflicts can also be manually reviewed to identify and retain the required key events.

[0059] S4014, determining the coverage of the affected local subgraph based on the processed key event, and performing topological modification on the local subgraph to complete the update.

[0060] The key events retained after S4013 reflect the status changes of specific devices, so appropriate scope expansion and topology modification can be carried out based on the device.

[0061] For example, if switch S1 is disconnected, three layers of nodes (including the upper bus, adjacent switches, and lower-level devices) are expanded to both ends along the line connected to it as a local subgraph to avoid traversing the entire device expansion graph, and then the connection line corresponding to switch S1 in the local subgraph is deleted.

[0062] S402, performing electrical measurement verification on the updated local sub-graph.

[0063] Electrical measurement verification generally adopts: Kirchhoff's law verification (including: KCL verification, KVL verification) and voltage consistency verification.

[0064] Among them, the KCL check is intended to verify whether the node current is balanced: if yes, the KCL check passes; if no, the KCL check fails; The KVL check is to verify whether the loop voltage is balanced: if it is, the KVL check passes; if not, the KVL check fails; The voltage consistency check is designed to verify whether the voltage difference of devices under the same bus is reasonable: if yes, the voltage consistency check passes; if no, the voltage consistency check fails.

[0065] Then, considering the particularity of the target substation, the electrical measurement verification can only be considered passed if the KCL verification, KVL verification, and voltage consistency verification are all passed; otherwise, the electrical measurement verification is considered to have failed.

[0066] Then, if the electrical measurement verification passes, the entire device topology map is updated according to the updated local sub-map, and the corresponding incremental update record is generated; If the electrical measurement verification fails, the entire device topology diagram will not be updated and an error record will be generated.

[0067] It should be noted that the above dynamic update mechanism focuses on local updates, which are suitable for use during daily peak hours, so as to reduce the response and calculation load of the power grid cloud control end. Of course, for overall considerations, S403 can be added, that is, the entire device topology diagram is periodically electrically measured and verified to correct the accumulated errors. Generally, S403 can be selected to be performed at low peak times (such as early morning) every day, so as to correct the errors that may occur in the local update of the previous day.

[0068] In addition, the results of S402 and S403 should be transmitted back to the power grid cloud control end in a timely manner to reflect the topology update in real time, which is also convenient for the power grid cloud control end to perform control.

[0069] Example 2 This embodiment 2 provides a graph-to-real consistency checking system based on local topology updating, which uses the graph-to-real consistency checking method based on local topology updating provided in embodiment 1.

[0070] The graph-reality consistency checking system based on local topology updating includes: layout and transformation module, data collection and preprocessing module, topology graph construction module, and topology dynamic updating module.

[0071] The deployment and transformation module is configured as follows: first, the terminal devices in the target substation area are divided into regions according to the municipal map signs, and then edge nodes are deployed for the terminal devices in the same power consumption area so that the terminal devices can be connected to the power grid cloud control end through the edge nodes.

[0072] The data collection and preprocessing module is configured as follows: data is collected from the subordinate terminal devices through the edge nodes, and the collected raw data is preprocessed based on the computing power of the edge nodes themselves.

[0073] The topology map construction module is configured to analyze the pre-processed device data based on the computing power of the edge node itself to construct a device topology map.

[0074] The topology dynamic update module is configured to update the device topology map based on a dynamic update mechanism.

[0075] Since this system uses the graph-reality consistency verification method based on local topology update in Example 1, it also has the same effect and will not be repeated here.

[0076] Example 3 This embodiment 3 discloses a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the graph-to-real consistency verification method based on local topology update disclosed in embodiment 1 are implemented.

[0077] This embodiment 3 also discloses a readable storage medium, in which computer program instructions are stored. When the computer program instructions are read and executed by a processor, the steps of the graph-to-real consistency verification method based on local topology update disclosed in embodiment 1 are executed.

[0078] This embodiment 3 also discloses a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the graph-real consistency checking method based on local topology update disclosed in embodiment 1 are implemented.

[0079] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A graph-to-real consistency verification method based on local topology update, characterized in that: include: Step 1: first divide the terminal devices in the target area according to the municipal map identification, and then deploy edge nodes for the terminal devices in the same power consumption area so that the terminal devices can be connected to the power grid cloud control terminal through the edge nodes; Step 2: The edge node collects data from its subordinate terminal devices and pre-processes the collected raw data based on the edge node's own computing power; Step 3: Analyze the pre-processed device data based on the computing power of the edge node itself to construct a device topology map; Step 4: Update the device topology map based on the dynamic update mechanism; The dynamic update mechanism includes: S401, updating a local sub-graph of the device topology graph according to the change increment of the pre-processed device data; S402, performing electrical measurement verification on the updated local sub-graph; If the electrical measurement verification passes, the entire device topology map is updated according to the updated local sub-map, and the corresponding incremental update record is generated; If the electrical measurement verification fails, the entire device topology diagram will not be updated and an error record will be generated.

2. The method for checking graph-to-real consistency based on local topology update according to claim 1, characterized in that: In step 1, the target area includes: a number of street communities; The methods of regional division include: Treat a street community as a power consumption area, and assign the terminal equipment to the corresponding power consumption area according to its installation location; Edge nodes include: centralized master nodes and distributed sub-nodes; The edge node deployment method includes: For a certain electricity consumption area, a centralized main node is deployed next to its main distribution transformer, and several distributed sub-nodes are deployed in the distribution box of each building or the meter concentration box to connect to the terminal equipment nearby. One side of the centralized main node is connected to the distributed sub-nodes and summarizes the data of all distributed sub-nodes, and the other side is connected to the power grid cloud control end.

3. The method for checking graph-to-real consistency based on local topology update according to claim 2, characterized in that: In step 2, the types of raw data include: switch status, electrical parameters, and device identification; Preprocessing methods include: noise filtering, time alignment, data cleaning, and feature extraction.

4. The method for checking graph-to-real consistency based on local topology update according to claim 3 is characterized in that: In step 3, the method for constructing the device topology map includes: S301, aggregating the pre-processed device data belonging to the same distributed sub-node to generate a corresponding local topology fragment; S302, merging the local topology fragments belonging to the same centralized master node to obtain a device topology map; Among them, S301 includes: S3011, performing topology initialization based on the switch state to obtain a skeleton topology; S3012, electrical correction of the skeleton topology based on electrical parameters and equipment identification; S3013, using a graph theory algorithm to optimize the electrically corrected skeleton topology to obtain local topological fragments.

5. The method for checking graph-to-real consistency based on local topology update according to claim 1, characterized in that: S401 includes: S4011, calculating the change increment of the pre-processed device data in chronological order; S4012, analyzing the key events that trigger the topology update from the change increment; Among them, key events include: switch state changes, abnormal electrical value fluctuations; S4013, processing key events based on physical constraints of power grid devices; If multiple key events violate the physical constraints of the power grid device, an event conflict occurs, and the event conflict is resolved to retain the key events that meet the physical constraints of the power grid device; S4014, determining the coverage of the affected local subgraph based on the processed key event, and performing topological modification on the local subgraph to complete the update.

6. The method for checking graph-to-real consistency based on local topology update according to claim 5, characterized in that: In S4013, the physical constraints of the power grid devices include: device state mutual exclusion constraints, topology connection consistency constraints, and electrical parameter compatibility constraints.

7. The method for checking graph-to-real consistency based on local topology update according to claim 1, characterized in that: The dynamic update mechanism also includes: S403, periodically perform electrical measurement and verification on the entire device topology diagram to correct the accumulated error.

8. The method for checking graph-real consistency based on local topology update according to claim 1 or 7, characterized in that: In step 4, electrical measurement verification includes: Kirchhoff's law verification and voltage consistency verification.

9. A graph-reality consistency checking system based on local topology update, characterized in that: It uses the graph-to-real consistency verification method based on local topology update as described in any one of claims 1 to 8; The graph-reality consistency checking system based on local topology update includes: The deployment and transformation module is used to first divide the terminal devices in the target area according to the municipal map identification, and then deploy edge nodes for the terminal devices in the same power consumption area so that the terminal devices can be connected to the power grid cloud control terminal through the edge nodes; The data collection and preprocessing module is used to collect data from its subordinate terminal devices through the edge node, and preprocess the collected raw data based on the computing power of the edge node itself; A topology map construction module is used to analyze the pre-processed device data based on the computing power of the edge node itself to construct a device topology map; as well as The topology dynamic update module is used to update the device topology map based on the dynamic update mechanism.

10. A computer program product, characterized in that It includes a computer program; when the computer program is executed by a processor, the steps of the graph-to-real consistency verification method based on local topology update as described in any one of claims 1 to 8 are implemented.

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