Power grid equipment maintenance plan analysis method and device, equipment and medium

Abstract

The invention discloses a power grid equipment maintenance plan analysis method and device, equipment and a medium, and the method comprises the steps: obtaining to-be-processed power grid equipment data corresponding to a target power supply region, and carrying out the preprocessing of the to-be-processed power grid equipment data, and determining target power grid equipment data; generating an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determining an equipment maintenance plan corresponding to the target power supply area; and determining a maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger. Based on the technical scheme, the power grid equipment maintenance plan is analyzed in combination with the equipment topology ledger, so that the analysis accuracy of the maintenance plan is improved, and the power supply reliability of a user and the safe and stable operation of a power system are effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to an analysis method, device, equipment and medium for a maintenance plan of power grid equipment. Background Art

[0002] With the continuous development of the power industry, the stable operation of the power grid is crucial to social production and life. However, during the maintenance of power grid equipment, the management of operational risks is closely linked to the formulation of power outage plans, and the existing operation process has significant efficiency bottlenecks.

[0003] However, traditional methods of formulating power outage plans often overlook the importance of work balance, resulting in work congestion, increasing operational risks and the possibility of equipment failure. In addition, the lack of a real-time assessment and output mechanism for power outage risks makes it impossible for the equipment operation and maintenance department and the marketing department to monitor and maintain the status of key equipment in advance. At the same time, users cannot receive timely notifications, affecting service quality and user experience. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for analyzing a maintenance plan of power grid equipment. By analyzing the maintenance plan of power grid equipment in combination with the equipment topology ledger, the analysis accuracy of the maintenance plan is improved, and the power supply reliability of users and the safe and stable operation of the power system are effectively guaranteed.

[0005] According to one aspect of the present invention, a method for analyzing a maintenance plan of a power grid device is provided, which comprises:

[0006] Acquire the to-be-processed power grid equipment data corresponding to the target power supply area, and pre-process the to-be-processed power grid equipment data to determine the target power grid equipment data;

[0007] Generate an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determine an equipment maintenance plan corresponding to the target power supply area;

[0008] A maintenance plan analysis result corresponding to the target power supply area is determined according to the equipment maintenance plan and the equipment topology ledger.

[0009] According to another aspect of the present invention, there is provided a device for analyzing a maintenance plan of a power grid device, comprising:

[0010] A data processing module is used to obtain the to-be-processed power grid equipment data corresponding to the target power supply area, and pre-process the to-be-processed power grid equipment data to determine the target power grid equipment data;

[0011] A ledger generation module, used to generate an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determine an equipment maintenance plan corresponding to the target power supply area;

[0012] A maintenance plan analysis module is used to determine a maintenance plan analysis result corresponding to the target power supply area based on the equipment maintenance plan and the equipment topology ledger.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for analyzing the maintenance plan of power grid equipment described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for analyzing a power grid equipment maintenance plan described in any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention obtains the pending power grid equipment data corresponding to the target power supply area, and pre-processes the pending power grid equipment data to determine the target power grid equipment data, and then generates the equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determines the equipment maintenance plan corresponding to the target power supply area, and finally determines the maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger. Based on the above technical solution, the power grid equipment maintenance plan is analyzed in combination with the equipment topology ledger, which improves the analysis accuracy of the maintenance plan, effectively ensuring the user's power supply reliability and the safe and stable operation of the power system.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0021] Figure 1 is a flow chart of a method for analyzing a power grid equipment maintenance plan provided according to Embodiment 1 of the present invention;

[0022] Figure 2 This is a schematic diagram of the structure of a device for analyzing a maintenance plan for power grid equipment provided in accordance with a second embodiment of the present invention;

[0023] Figure 3 It is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Embodiment 1

[0027] Figure 1A flowchart of a method for analyzing a power grid equipment maintenance plan is provided for the first embodiment of the present invention. This embodiment can be applied to the case where a device topology ledger is generated based on the power grid equipment data corresponding to the target power supply area, and the equipment maintenance plan is analyzed based on the device topology ledger. The method can be executed by an analysis device for a power grid equipment maintenance plan. The analysis device for a power grid equipment maintenance plan can be implemented in the form of hardware and / or software, and the analysis device for a power grid equipment maintenance plan can be configured in an electronic device. Figure 1 As shown, the method includes:

[0028] S110, acquiring the to-be-processed power grid equipment data corresponding to the target power supply area, and pre-processing the to-be-processed power grid equipment data to determine the target power grid equipment data.

[0029] The target power supply area may be a power supply area that needs to be analyzed for maintenance plans. The power grid equipment data to be processed may be understood as relevant data of power equipment in the target power supply area, which may include data such as equipment type, location, and status. The target power grid equipment data may be standardized power grid equipment data obtained by preprocessing the power grid equipment data to be processed.

[0030] Specifically, the power grid equipment data related to the target power supply area is collected, which may include the equipment type, location, status and other data of each power equipment in the power supply area, and then the original data is pre-processed, including data cleaning, missing value processing, and time uniform processing, so as to obtain accurate and complete target power grid equipment data. It should be noted that the power supply area can be divided according to the needs of the user, or according to the preset area, and the power grid operation and maintenance personnel can determine the target power supply area from the power supply area according to the needs.

[0031] On the basis of the above technical solution, the pre-processing of the power grid equipment data to be processed to determine the target power grid equipment data includes: performing data cleaning on the power grid equipment data to be processed, and performing missing value processing on the power grid equipment data to be processed after data cleaning to determine the power grid equipment data to be unified; performing time unification processing on the power grid equipment data to be unified to determine the target power grid equipment data.

[0032] Specifically, by checking abnormal values ​​or outliers in the data and deciding whether to delete, correct or retain them, and identifying and processing duplicate records to ensure that each record is unique and verify the consistency and integrity of the data, it is possible to ensure that the values ​​of fields such as device ID and device type are within a reasonable range and without contradictions, and then complete the data cleaning of the power grid equipment data to be processed based on the above scheme. Furthermore, if there are still missing values ​​in the data after data cleaning, for a small number of missing values, you can choose to delete the records containing missing values, or use interpolation, mean filling, median filling, mode filling or inference based on business logic to fill the missing values, and then unify the timestamps of the power grid equipment data after the missing values ​​are processed to ensure that all timestamp data uses the same format and time zone for accurate time series analysis. For example, Python's pd.read_csv() method is used to read the real-time data of the maintenance schedule; Python's data.drop_duplicates() method is used to clean the data and delete duplicate values; Python's data.dropna() method is used to handle missing values; Python's pd.to_datetime(data['timestamp']) method is used to unify the time format.

[0033] S120. Generate an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determine an equipment maintenance plan corresponding to the target power supply area.

[0034] The equipment topology record may include an equipment record of topological information between various power equipment in the power supply area. The equipment maintenance plan may be understood as a maintenance plan for power equipment associated with the target power supply area reported by the operation and maintenance personnel.

[0035] Specifically, according to the target power grid equipment data, all equipment information related to the target power supply area is sorted out, including but not limited to equipment ID, equipment type, equipment status, location information (such as coordinates or substations), connection relationships, etc., and then the connection relationship between the equipment is used to construct the equipment topology map. This can be represented by nodes and edges in graph theory, where nodes represent equipment and edges represent connections between equipment. The sorted equipment information and topology are presented in the form of tables or graphs to form an equipment topology ledger. It should be noted that the equipment topology ledger should contain detailed information about the equipment and their location in the topology structure. Further, according to the equipment status information in the equipment topology ledger, the health status and operating status of the equipment can be analyzed to identify the equipment that needs to be repaired or maintained. According to the importance of the equipment (such as critical equipment, non-critical equipment), the consequences of equipment failure (such as power outage scope, number of users affected), and the urgency of maintenance (such as the equipment is approaching the end of the maintenance cycle), the maintenance priority is evaluated, and the operation and maintenance personnel formulate a specific maintenance plan based on the maintenance priority and available resources (such as maintenance personnel, spare parts, time windows, etc.).

[0036] On the basis of the above technical solution, the device topology ledger corresponding to the target power supply area is generated based on the target power grid equipment data, including: determining the topological connection relationship between each power grid equipment in the target power grid equipment data based on the device topology algorithm; determining the device topology ledger according to the topological connection relationship between each power grid equipment and the target power grid equipment data.

[0037] The topology algorithm may be a pre-set algorithm for determining the topology relationship of devices. The topology connection relationship may be understood as the physical connection relationship between power grid devices.

[0038] Specifically, according to the characteristics and requirements of the power grid equipment, a suitable device topology algorithm is selected. For example, the device topology algorithm includes the adjacency matrix method, the adjacency table method, the association matrix method, etc., and then the selected device topology algorithm is applied to the target power grid equipment data to analyze and determine the topological connection relationship between each power grid equipment, and the device topology model is constructed based on the determined topological connection relationship. The device topology model can be represented in the form of a graph, a matrix or a table, clearly showing the connection structure and relationship between the devices, and integrating the device topology model with the target power grid equipment data to ensure that the position of each device in the topology model matches its information in the data set. According to the integrated device data and topology model, the device topology ledger is generated. It should be noted that the device topology ledger contains detailed information of the device, such as device ID, type, status, etc., as well as the location information of the power equipment in the topology structure, such as connection relationship, path, etc. Exemplarily, a topology structure is established to determine the nodes and lines in the network. Nodes represent devices in the network, and lines represent the connection relationship between devices. Each node and line is assigned a unique identifier for identification in subsequent analysis. According to the connection relationship of the equipment, a complete topology structure is constructed. Simple topology structures include: Dongguan Power Supply Bureau-Patrol and Maintenance Center-Substation Management Office-Bus-220kV Line-110kV Line-10kV Line-Equipment, etc.

[0039] On the basis of the above technical solution, the topological connection relationship between each power grid device in the target power grid device data is determined based on the device topology algorithm, including: analyzing the connection relationship between each power grid device based on the device topology algorithm, and determining the shortest path and the best route between the each power grid device; using the shortest path and the best route as the topological connection relationship between the each power grid device.

[0040] The device topology algorithm is a depth-first search algorithm or a breadth-first search algorithm. Depth-first search (DFS) is a recursive algorithm that starts from the starting device and searches as deep as possible along a path until it reaches the end or cannot go any deeper, then backtracks and tries other paths. Breadth-first search (BFS) is an iterative algorithm that starts from the starting device and first visits all directly connected devices, then visits other devices directly connected to these devices, and so on, expanding layer by layer.

[0041] Specifically, the DFS or BFS algorithm is used to traverse the device nodes in the power grid equipment data, and the connection relationship between each device and other devices is recorded. During the traversal process, a connection matrix or adjacency table can be constructed to represent the connectivity between devices. The best route may be based on multiple factors, such as path length, device load on the path, path reliability, etc. In a simple case, the shortest path may be the best route, and then the shortest path and the best route found by the DFS or BFS algorithm are recorded as the topological connection relationship between the devices. The above connection relationship can be used to build a device topology ledger to provide key information for subsequent power grid management, operation and maintenance. Exemplarily, by adopting the depth-first search and breadth-first search algorithms, the topological structure of the equipment ledger is analyzed, the shortest path, the best route and other information are calculated, and the analysis results are verified and optimized to ensure the accuracy and reliability of the results, so as to prepare for the subsequent association of related equipment with the maintenance plan. The topological connection relationship between the power equipment in the target power supply area can be determined by defbfs(graph,start_node):#Initialize the queue and add the starting node to the queue; queue=deque([start_node])#Initialize the visited set and mark the starting point as visited; visited=set([start_node])#Traverse the nodes in the queue; whilequeue:#Take out a node from the queue; node=queue.popleft()#Print the current node (for demonstration); print(f"Visited node:{node}")#Traverse all unvisited directly connected nodes of the node; orneighboringraph[node]:#If the node has not been visited, mark it as visited and add it to the queue; if neighbor not in visited: visited.add(neighbor)queue.append(neighbor).

[0042] S130. Determine a maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger.

[0043] The maintenance plan analysis result may be an information table corresponding to the target power supply area generated after analyzing the maintenance plan.

[0044] Specifically, the specific content of the maintenance can be determined according to the equipment maintenance plan, such as transformer replacement, time, and scope, such as a substation, and the equipment involved, such as a transformer, and then the location of the substation can be found in the topology ledger to determine the connection relationship between the current substation and other substations and transmission lines, and the power outage operation during the transformer replacement process can be simulated to evaluate its impact on the surrounding power supply areas, such as the scope and duration of the power outage, while considering possible risks, such as transformer replacement failure, other equipment failure, etc., and then adjust the maintenance time to avoid power outages during peak hours; prepare spare transformers to deal with replacement failures; arrange emergency repair teams to quickly respond to other equipment failures, and finally determine the maintenance plan analysis results corresponding to the target power supply area.

[0045] On the basis of the above technical solution, the maintenance plan analysis result corresponding to the target power supply area is determined according to the equipment maintenance plan and the equipment topology ledger, including: extracting key maintenance information matching the preset data extraction field from the equipment maintenance plan based on the preset data extraction field; determining the starting device node and the device node according to the equipment maintenance plan, and determining the maintenance plan analysis result based on the starting device node, the device node and the key maintenance information.

[0046] The preset data extraction field may be understood as a data field that is preset to extract information from the equipment maintenance plan.

[0047] Specifically, according to the characteristics of the maintenance plan and the content to be analyzed, the data extraction fields are preset, and the data extraction fields may include the maintenance equipment ID, maintenance type, maintenance start and end time, maintenance impact range, etc., and then from the equipment maintenance plan, based on the preset data extraction fields, the maintenance key information matching the field is extracted. For example, the equipment ID that needs maintenance, the specific time of maintenance, the type of maintenance (such as preventive maintenance, fault maintenance), etc. are extracted, and in the equipment topology ledger, according to the extracted maintenance key information, the starting equipment node (i.e., the equipment where the maintenance starts) and other related equipment nodes (such as affected equipment, equipment that needs to cooperate with the operation, etc.) related to the maintenance plan are identified. Combined with the equipment topology ledger, the possible power supply interruption range during the maintenance period (such as certain areas powered by the substation), how the load is transferred (such as power supply through other substations or lines), the operating status changes of other equipment (such as adjacent transformers), etc. are analyzed, and the maintenance plan analysis result report is determined based on the analysis results, clearly pointing out the specific impact of the maintenance, risk points (such as power outages for important users that may be caused by power outages), and recommended countermeasures (such as notifying users in advance, arranging backup power supplies, etc.).

[0048] For example, the maintenance plan is combined with the equipment topology ledger: according to the operation and maintenance unit, power supply equipment, power supply district bureau, town, voltage level, power outage range and other information, automatic verification and calculation analysis are carried out to obtain the key information of the operation and maintenance unit, district bureau, town, equipment and other key information involved in each plan; the daily power outage and restoration workload is calculated according to the dimensions of power supply district bureau, patrol maintenance unit, plant station, etc., and the work risk is calculated. The maintenance plan processing result set is read by applying Python's pd.read_excel('overload_stats.xlsx') method; the operation and maintenance unit, power supply equipment, power supply district bureau, town, voltage level, power outage range and other information are classified and sorted by applying Python's stats_df.sort_values(by=[],scending=[True,False]) method.

[0049] On the basis of the above technical solution, the maintenance plan analysis result is determined based on the starting device node, the device node and the key maintenance information, including: processing the equipment topology ledger based on the starting node and the device node using a breadth-first search algorithm to determine a set of working units corresponding to the equipment maintenance plan; generating a statistical analysis table based on the working unit set and the key maintenance information, and using the statistical analysis table as the maintenance plan analysis result.

[0050] The work unit set can be understood as a collection of various power equipment associated with the maintenance plan.

[0051] Specifically, based on the key information in the maintenance plan, the starting device node, that is, the device where the maintenance work starts, is identified, and then the device topology ledger is processed through a breadth-first search algorithm. For example, the starting device node is added to a queue and marked as visited. When the queue is not empty, a device node is taken out of the queue as the current node, and all unvisited device nodes directly connected to the current node in the device topology ledger are found, added to the queue, and marked as visited. The above process is repeated until the queue is empty. Furthermore, after the traversal is completed, all the visited device nodes constitute a work unit set related to the maintenance plan. The above-mentioned device nodes may be equipment directly involved in the maintenance, or equipment that is affected by the maintenance and needs special attention. Then, for each device node in the work unit set, its key information related to the maintenance plan is collected, such as equipment name, maintenance type, maintenance time, expected impact, etc., and the collected data is organized into a table, including an equipment information column and a maintenance information column. The organized data is statistically analyzed to calculate the impact of the maintenance plan on each device, such as power outage time, load transfer amount, etc. The results of the statistical analysis are presented in a tabular form, including equipment name, maintenance details, impact analysis, etc., to form a statistical analysis table. Exemplarily, the equipment topology ledger is searched by using a breadth-first search method, and the work content and maintenance equipment in each maintenance plan result set are used as node starting points. The nearest associated line is first accessed, and all work units associated with this equipment are obtained one by one in turn to form a set of work units involved in the maintenance plan; the maintenance work unit set is statistically analyzed and analyzed on demand (such as which operation and maintenance unit is involved in the maximum and minimum workload on the day, which power supply district bureau has the largest operation volume, etc.).

[0052] The technical solution of the embodiment of the present invention can automatically obtain monthly maintenance plan data, including information related to the risk linkage of power grids, operations, and equipment, and based on the topological relationship of basic power outage equipment, track the impact range of power outage equipment, form information such as operating units, workload, affected users, and power supply guarantee lists, realize data verification, and automatically generate data verification accuracy tables; support automatic matching by line and device type, obtain the impact range, form relevant information, and then realize automatic acquisition of information related to the risk linkage of power grids, operations, and equipment, and automatically generate statistical analysis tables. Greatly reduce the workload of summary, shorten statistical time, improve analysis accuracy, and effectively ensure the reliability of user power supply and the safe and stable operation of the power system.

[0053] The technical solution of the embodiment of the present invention obtains the pending power grid equipment data corresponding to the target power supply area, and pre-processes the pending power grid equipment data to determine the target power grid equipment data, and then generates the equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determines the equipment maintenance plan corresponding to the target power supply area, and finally determines the maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger. Based on the above technical solution, the power grid equipment maintenance plan is analyzed in combination with the equipment topology ledger, which improves the analysis accuracy of the maintenance plan, effectively ensuring the user's power supply reliability and the safe and stable operation of the power system.

[0054] Embodiment 2

[0055] Figure 2 This is a schematic diagram of the structure of a device for analyzing a power grid equipment maintenance plan provided in the third embodiment of the present invention. Figure 2 As shown, the device includes: a data processing module 210, a ledger generation module 220 and a maintenance plan analysis module 230; wherein,

[0056] The data processing module 210 is used to obtain the to-be-processed power grid equipment data corresponding to the target power supply area, and pre-process the to-be-processed power grid equipment data to determine the target power grid equipment data;

[0057] The ledger generation module 220 is used to generate an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determine an equipment maintenance plan corresponding to the target power supply area;

[0058] The maintenance plan analysis module 230 is used to determine the maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger.

[0059] On the basis of the above technical solution, the data processing module is used to perform data cleaning on the power grid equipment data to be processed, and perform missing value processing on the power grid equipment data to be processed after data cleaning to determine the power grid equipment data to be unified; perform time unification processing on the power grid equipment data to be unified to determine the target power grid equipment data.

[0060] Based on the above technical solution, the ledger generation module is used to determine the topological connection relationship between each power grid device in the target power grid equipment data based on the equipment topology algorithm; and determine the equipment topology ledger according to the topological connection relationship between each power grid device and the target power grid equipment data.

[0061] On the basis of the above technical solution, the ledger generation module is used to analyze the connection relationship between each power grid device based on the device topology algorithm, and determine the shortest path and the best route between the each power grid device, wherein the device topology algorithm is a depth-first search algorithm or a breadth-first search algorithm; the shortest path and the best route are used as the topological connection relationship between the each power grid device.

[0062] Based on the above technical solution, the maintenance plan analysis module is used to obtain a power outage maintenance plan table corresponding to the target power supply area according to a preset maintenance plan collection method; and generate an equipment maintenance plan corresponding to the target power supply area based on the power outage maintenance plan table.

[0063] On the basis of the above technical solution, the maintenance plan analysis module is used to extract key maintenance information matching the preset data extraction field from the equipment maintenance plan based on the preset data extraction field; determine the starting device node and the device node according to the equipment maintenance plan, and determine the maintenance plan analysis result based on the starting device node, the device node and the key maintenance information.

[0064] On the basis of the above technical solution, the maintenance plan analysis module is used to process the equipment topology ledger based on the starting node and the equipment node using a breadth-first search algorithm to determine the work unit set corresponding to the equipment maintenance plan; generate a statistical analysis table based on the work unit set and the key maintenance information, and use the statistical analysis table as the maintenance plan analysis result.

[0065] The technical solution of the embodiment of the present invention obtains the pending power grid equipment data corresponding to the target power supply area, and pre-processes the pending power grid equipment data to determine the target power grid equipment data, and then generates the equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determines the equipment maintenance plan corresponding to the target power supply area, and finally determines the maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger. Based on the above technical solution, the power grid equipment maintenance plan is analyzed in combination with the equipment topology ledger, which improves the analysis accuracy of the maintenance plan, effectively ensuring the user's power supply reliability and the safe and stable operation of the power system.

[0066] The power grid equipment maintenance plan analysis device provided in the embodiment of the present invention can execute the power grid equipment maintenance plan analysis method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0067] Embodiment 3

[0068] Figure 3A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0069] like Figure 3 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0070] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0071] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the analysis method of the power grid equipment maintenance plan.

[0072] In some embodiments, the analysis method of the power grid equipment maintenance plan can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the analysis method of the power grid equipment maintenance plan described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the analysis method of the power grid equipment maintenance plan by any other appropriate means (for example, by means of firmware).

[0073] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0074] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0075] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0076] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0077] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0078] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0079] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0080] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for analyzing a power grid equipment maintenance plan, characterized in that: include: Acquire the to-be-processed power grid equipment data corresponding to the target power supply area, and pre-process the to-be-processed power grid equipment data to determine the target power grid equipment data; Generate an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determine an equipment maintenance plan corresponding to the target power supply area; A maintenance plan analysis result corresponding to the target power supply area is determined according to the equipment maintenance plan and the equipment topology ledger.

2. The method according to claim 1, characterized in that The preprocessing of the to-be-processed power grid equipment data to determine target power grid equipment data includes: Performing data cleaning on the to-be-processed power grid equipment data, and performing missing value processing on the to-be-processed power grid equipment data after data cleaning, to determine the to-be-processed power grid equipment data; The target power grid equipment data is time-uniformly processed to determine the target power grid equipment data.

3. The method according to claim 1, characterized in that The generating of a device topology ledger corresponding to the target power supply area based on the target power grid device data includes: Determine the topological connection relationship between each power grid device in the target power grid device data based on the device topology algorithm; The device topology ledger is determined according to the topological connection relationship between the power grid devices and the target power grid device data.

4. The method according to claim 3, characterized in that The determining the topological connection relationship between each power grid device in the target power grid device data based on the device topology algorithm includes: Analyzing the connection relationship between the power grid devices based on the device topology algorithm to determine the shortest path and the best route between the power grid devices, wherein the device topology algorithm is a depth-first search algorithm or a breadth-first search algorithm; The shortest path and the best route are used as the topological connection relationship between the power grid devices.

5. The method according to claim 1, characterized in that The determining of the equipment maintenance plan corresponding to the target power supply area includes: Acquire a power outage maintenance schedule corresponding to the target power supply area according to a preset maintenance plan collection method; An equipment maintenance plan corresponding to the target power supply area is generated based on the power outage maintenance plan table.

6. The method according to claim 1, characterized in that The determining of the maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger includes: Extracting key maintenance information matching the preset data extraction field from the equipment maintenance plan based on the preset data extraction field; A starting device node and a device node are determined according to the equipment maintenance plan, and the maintenance plan analysis result is determined based on the starting device node, the device node and the maintenance key information.

7. The method according to claim 6, characterized in that The determining the maintenance plan analysis result based on the starting device node, the device node and the maintenance key information includes: Processing the equipment topology ledger using a breadth-first search algorithm based on the starting node and the equipment node to determine a set of work units corresponding to the equipment maintenance plan; A statistical analysis table is generated according to the work unit set and the key maintenance information, and the statistical analysis table is used as the maintenance plan analysis result.

8. An analysis device for a power grid equipment maintenance plan, characterized in that: include: A data processing module is used to obtain the to-be-processed power grid equipment data corresponding to the target power supply area, and pre-process the to-be-processed power grid equipment data to determine the target power grid equipment data; A ledger generation module, used to generate an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determine an equipment maintenance plan corresponding to the target power supply area; A maintenance plan analysis module is used to determine a maintenance plan analysis result corresponding to the target power supply area based on the equipment maintenance plan and the equipment topology ledger.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for analyzing a maintenance plan for power grid equipment according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for analyzing a maintenance plan for power grid equipment according to any one of claims 1 to 7 when executed.

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