Safety measure generation method and system based on multi-task parallel work ticket of power distribution network

Abstract

The invention provides a safety measure generation method and system based on a power distribution network multi-task parallel work ticket, and the method comprises the steps: receiving a to-be-executed work ticket containing a plurality of parallel tasks, and extracting the task information of each task; obtaining a plurality of task groups and task group associated equipment sets corresponding to the task groups; obtaining a task group minimum operation sequence set; obtaining a task group topology boundary equipment set, and performing topology search by using a topology boundary equipment set subset to obtain a safety measure set of each task group; and based on the minimum range maintenance decision model, optimizing the safety measure set of each task group to obtain a final multi-task parallel safety measure set. According to the scheme, the tasks which are electrically connected adjacently are combined into one task group, so that repeated operation on the same equipment can be avoided, unnecessary workload is reduced, and the safety measure generation efficiency of the safety measure generation method based on the multi-task parallel work ticket of the power distribution network is improved.

Description

Technical Field

[0001] This application relates to the field of power system distribution network work ticket management technology, and more specifically, to a method and system for generating safety measures based on multi-task parallel work tickets for distribution networks. Background Technology

[0002] With the deepening construction of new power systems, distribution networks are becoming increasingly multi-sourced, with distributed power sources such as photovoltaics and wind power exceeding 30% penetration; topological complexity is increasing, shifting from a "single-source radial" distribution network to a "multi-source mesh interconnection" network; and operation is becoming more dynamic, with microgrid island operation and automatic load switching scenarios triggering over 50,000 times daily, and electrical island boundaries exhibiting "minute-level dynamic reconfiguration" characteristics. Simultaneously, cable double-ring networks and multi-connection ring network cabinets account for over 68%, and the dimensions of equipment connections are growing exponentially. The safety management logic based on static topology preset rules and manual experience is no longer suitable for the new scenario of "multi-source interactive coupling and minute-level topology reconfiguration" in distribution networks. Therefore, the accuracy of intelligent generation of work order safety measures (safety measures) and the closed-loop capability for error prevention and verification require technological upgrades and improvements.

[0003] Currently, the generation of safety measures for distribution network work orders still heavily relies on dispatcher experience-based decisions, with the penetration rate of intelligent technologies being less than 20%. Related technologies have not achieved collaborative optimization when multiple tasks are performed concurrently. For example, in scenarios where multiple tasks such as the first type of distribution work order, the second type of work order, and live-line work order are performed concurrently, collaborative optimization is not achieved, resulting in repeated power outage operations that increase the number of switch actions by 2.3 times. In scenarios where multiple tasks are performed concurrently, these technologies lead to repetitive equipment operations and an expansion of the power outage area, resulting in low multi-task collaborative efficiency. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for generating safety measures based on multi-task parallel work tickets in a power distribution network, so as to solve the above-mentioned technical problems.

[0005] In a first aspect, embodiments of this application provide a method for generating safety measures based on a multi-task parallel work order for a distribution network. The method includes: receiving a work order to be executed containing multiple parallel tasks; extracting task information for each task from the text of the work order to be executed; wherein the task information includes a work location and an operation object; grouping each task based on the work location, the operation object, and a distribution network topology model to obtain multiple task groups and their corresponding sets of associated equipment; wherein each task group includes tasks electrically adjacent to the operation object; performing topology analysis on the set of associated equipment of the task groups to obtain a minimum operation sequence set for the task groups; obtaining a topology boundary equipment set for the task groups based on the minimum operation sequence set; performing a topology search using a subset of the topology boundary equipment set to obtain a safety measure set for each task group; wherein the topology boundary equipment is used to characterize equipment located between task areas and non-task areas in the distribution network topology model; and optimizing the safety measure set for each task group based on a minimum range maintenance decision model to obtain a final multi-task parallel safety measure set.

[0006] In the implementation of the above scheme, by merging tasks with adjacent electrical connections into a task group, it is possible to avoid repetitive operations on the same equipment, reduce unnecessary workload, and improve the safety measure generation efficiency of the above-mentioned safety measure generation method based on multi-task parallel work orders in distribution networks. On the other hand, the merged task group can uniformly consider safety measures, ensuring that all tasks follow the same safety standards, reducing safety risks caused by inconsistent safety measures between tasks, and through topology search and equipment operation logic analysis, it is possible to more comprehensively identify the safety measure set of the task group, thereby more effectively controlling operational risks and improving operational safety. Furthermore, the merged task group can simplify the content of the work order, making the work order clearer and easier to understand, reducing misunderstandings and errors caused by the complexity of the work order content, and helping to reduce the complexity of the work order.

[0007] In one implementation of the first aspect, the step of grouping the tasks based on the work location, the operation object, and the power distribution network topology model to obtain multiple task groups includes: obtaining the number of switch node hops between each operation object based on the power distribution network topology model and the work location; wherein the number of switch node hops is used to characterize the number of switch nodes on the connection path between two connected operation objects; and searching for tasks whose number of switch node hops between operation objects is not greater than a preset hop count threshold to form the task group.

[0008] In the implementation of the above scheme, the number of hops of the switch node can accurately reflect the adjacency relationship of the operation objects in the network topology. Using the number of hops of the switch node not exceeding the preset hop threshold as a criterion, operation tasks with close electrical connections and adjacent spatial locations can be identified and merged together, making the division of task groups more in line with the actual topology of the power grid. This improves the scientificity and rationality of the above-mentioned safety measure generation method based on the parallel work ticket of the distribution network for multi-task merging. On the other hand, using the number of hops of the switch node not exceeding the preset hop threshold as a criterion can also effectively avoid erroneously merging tasks that are far apart in space and have weak electrical connections together, ensuring that the tasks in each task group have a certain correlation in terms of electrical operation and spatial location, thereby improving the efficiency and accuracy of subsequent safety measure generation and verification.

[0009] In one implementation of the first aspect, the minimum operation sequence set of the task group includes a topological mapping relationship, a minimum operation set, shared operations, and an isolation boundary switch; wherein, the minimum operation set is used to characterize the minimum set of topological edges that need to be cut to isolate each of the tasks; and the isolation boundary switch is used to characterize a switch that isolates the working area of ​​the task group from other non-working areas. The step of performing topology analysis on the set of associated devices of the task group to obtain the minimum operation sequence set of the task group includes: obtaining the topology mapping relationship between the operation objects in the set of associated devices of the task group and the distribution network topology model; based on the topology mapping relationship, obtaining the physical connection relationship and real-time operating status of each operation object in the set of associated devices of the task group; and based on the physical connection relationship and real-time operating status of the operation objects, obtaining the minimum operation set, the shared operations between the task groups, and the isolation boundary switches of each task group in the set of associated devices of the task group. In the implementation of the above scheme, by obtaining the minimum set of operations in the minimum operation sequence set of the task group, the minimum set of topological edges required for task isolation is ensured, thereby achieving precise isolation between the working area and the non-working area and reducing the risk of misoperation. On the other hand, by obtaining the isolation boundary switch, the impact of safety measures on the non-working area is reduced, and the power supply reliability is improved. Furthermore, the physical connection relationship and real-time operating status between the operating objects can be determined based on the topological mapping relationship, thereby providing accurate information for the generation of safety measures, which is conducive to improving the pertinence and effectiveness of safety measures.

[0010] In one implementation of the first aspect, obtaining the minimum operation set from the set of associated devices in the task group based on the physical connection relationship of the operation objects and the real-time operating status includes: abstracting the power distribution network topology model corresponding to the set of associated devices in the task group into a directed graph, with the operation objects as nodes and the physical connection relationships between the operation objects as edges, based on the physical connection relationship of the operation objects and the real-time operating status; and obtaining the minimum operation set from the directed graph based on the graph theory cut-set algorithm.

[0011] In the implementation of the above scheme, the graph theory cut set algorithm can accurately locate the minimum set of operations to achieve task isolation, ensuring that the task area is isolated from the power source after the critical connection is cut off. This is beneficial to improving the security of the above-mentioned safety measure generation method based on the parallel work ticket of multiple tasks in the distribution network. On the other hand, the graph theory cut set algorithm can be applied to various power grid scales and topologies, and can automatically adjust the cut set according to changes in the power grid to ensure that the obtained minimum set of operations is reasonable and effective, thereby improving the adaptability of the above-mentioned safety measure generation method based on the parallel work ticket of multiple tasks in the distribution network.

[0012] In one implementation of the first aspect, optimizing the safety measure set of each task group based on the minimum scope maintenance decision model to obtain the final multi-task parallel safety measure set includes: calculating the objective function of each operation object in the safety measure set of each task group; wherein the objective function is used to balance the power outage impact of the operation object and the operation complexity of the operation object; and coordinating the optimization of each task in the task group with minimizing the overall objective function to obtain the final multi-task parallel safety measure set.

[0013] In the implementation of the above scheme, by calculating the objective function of each operating device and performing collaborative optimization with the goal of minimizing the overall objective function, the necessary range of power outage equipment can be accurately determined, avoiding unnecessary power outages and thus reducing the impact of power outages on users. In particular, for important and sensitive users, it can reduce the economic losses and social impact caused by power outages. On the other hand, based on the calculation of the objective function and collaborative optimization, a set of multi-task parallel safety measures can be determined, reducing the number of unnecessary equipment operations, reducing operational complexity, improving work efficiency, and also reducing the risk of misoperation that may be caused by operational complexity.

[0014] In one implementation of the first aspect, the objective function includes at least one of the following: a power outage impact weighting term for the operated object, an operation complexity weighting term, a grounding switch operation weighting term, and a grounding wire operation weighting term, wherein: The power outage impact weighting term is obtained based on a first weight and a first quantity; wherein, the first weight is used to characterize the degree of power outage impact of the operation object on different types of users, and the first weight is proportional to the degree of power outage impact; the first quantity is used to characterize the number of users of the user type corresponding to the first weight; The operation complexity weighting term is obtained based on a second weight and a second quantity; wherein, the second weight is used to characterize the operation complexity of the operation object, and the second weight is proportional to the operation complexity; the second quantity is used to characterize the number of operation objects; The grounding switch operation weighting term is obtained based on a third weight and a third quantity; wherein, the third weight is used to balance grounding safety and operation efficiency, the third weight is directly proportional to grounding safety and inversely proportional to operation efficiency; the third quantity is used to characterize the number of grounding switches in the operation object; The ground wire operation weighting term is obtained based on a fourth weight and a fourth quantity; wherein, the fourth weight is used to characterize the induced current protection requirement in the area where the operation object is located, and the fourth weight is proportional to the induced current protection requirement; the fourth quantity is used to characterize the number of ground wires in the operation object.

[0015] In the implementation of the above scheme, by introducing a power outage impact weighting term and an operation complexity weighting term for the operation object, the impact on users can be minimized while ensuring power outage safety, and the operation complexity can be reduced. This allows the above-mentioned safety measure generation method based on multi-task parallel work tickets of distribution networks to balance power outage impact and operation complexity. On the other hand, by introducing a grounding switch operation weighting term and a grounding wire operation weighting term, the safety measures can ensure grounding safety while taking into account operation efficiency. Furthermore, the objective function comprehensively considers multiple factors such as power outage impact, operation complexity, grounding safety, and induced current protection, so that the generated safety measure set optimizes the power outage range, operation quantity, and number of grounding measures while ensuring operational safety.

[0016] In one implementation of the first aspect, the method further includes: traversing the directed graph of the distribution network topology model, identifying energized equipment in the multi-task parallel safety measures set, and adding an energized identifier to the energized equipment in the multi-task parallel safety measures set; And / or, based on the hazard knowledge base, identify hazardous devices in the multi-task parallel safety measure set, add hazard identifiers to the hazardous devices in the multi-task parallel safety measure set, and add additional safety measures for the hazardous devices in the multi-task parallel safety measure set; wherein, the hazard knowledge base stores the hazardous devices and their corresponding additional safety measures.

[0017] In the implementation of the above scheme, on the one hand, by adding live markers and hazard markers, as well as corresponding additional safety measures, to the multi-task parallel safety measure set, the content of the safety measures is further enriched and improved, making it more comprehensive and accurate in reflecting the actual situation and potential risks on site, and providing operators with more detailed and more instructive safety operation basis; on the other hand, it makes the above-mentioned safety measure generation method based on the multi-task parallel work ticket of the distribution network applicable to more application scenarios, which is conducive to improving the adaptability of the above-mentioned safety measure generation method based on the multi-task parallel work ticket of the distribution network.

[0018] In one implementation of the first aspect, the method further includes: performing a save-stage error prevention check on the multi-task parallel safety measures set based on save-stage check rules; performing a license-stage error prevention check on the multi-task parallel safety measures set in response to a license check request based on license-stage check rules; and performing a completion check on the operation objects in the multi-task parallel safety measures set in response to a completion check request based on completion-stage check rules.

[0019] In the implementation of the above scheme, the three-level verification mechanism consisting of the storage stage verification, the licensing stage verification, and the completion stage verification can minimize safety incidents caused by work order problems, which is conducive to improving the accuracy and security of work orders. On the other hand, the three-level verification mechanism can promptly detect and handle problems, which is conducive to improving work efficiency. Furthermore, the three-level verification mechanism clarifies the verification rules and standards for work orders at different stages, making work order management more standardized and regulated, promoting the implementation and execution of the work order management system, and improving the standardization and rigor of work order management.

[0020] In one implementation of the first aspect, the method further includes: acquiring the equipment status of the distribution network in real time; and dynamically updating the distribution network topology model based on the equipment status.

[0021] In the implementation of the above scheme, by acquiring the status of distribution network equipment in real time and dynamically updating the distribution network topology model, the topology model can respond quickly when the status of distribution network equipment changes, thereby ensuring the accuracy and effectiveness of safety measures and avoiding misoperation and safety accidents caused by inaccurate topology information. On the other hand, the dynamically updated power grid topology model provides an accurate basis for the intelligent generation of safety measures, realizing the automatic generation and optimization of safety measures, reducing the workload and error rate of manual safety measure formulation, and improving the efficiency of operation and maintenance.

[0022] In one implementation of the first aspect, the step of extracting task information for each task from the text of the work order to be executed includes: obtaining the text of the work order to be executed; inputting the text into a trained Natural Language Processing (NLP) model to obtain the task information for each task output by the NLP model.

[0023] In the implementation of the above scheme, the NLP model can accurately parse the work order text through deep learning and language understanding technology, thereby identifying task information and improving the accuracy of task information extraction. On the other hand, it can provide stable and reliable task information extraction results, improving the stability and reliability of the above-mentioned safety measure generation method based on multi-task parallel work orders in distribution networks.

[0024] Secondly, embodiments of this application provide a safety measure generation system based on multi-task parallel work orders in a distribution network, including: The task information extraction module is used to receive a work order containing multiple parallel tasks and extract the task information of each task from the text of the work order; wherein, the task information includes the work location and the operation object; The task group acquisition module is used to group the tasks based on the work location, the operation object, and the power distribution network topology model to obtain multiple task groups and their corresponding task group associated equipment sets; wherein, each task group includes the tasks that are electrically connected to the operation object; The task group minimum operation sequence set acquisition module is used to perform topology analysis on the set of devices associated with the task group to obtain the task group minimum operation sequence set. The safety measure set acquisition module is used to obtain the topology boundary device set of the task group based on the minimum operation sequence set of the task group, and perform topology search using a subset of the topology boundary device set to obtain the safety measure set of each task group; wherein, the topology boundary device is used to characterize the device located between the task area and the non-task area in the distribution network topology model; The multi-task parallel safety measure set acquisition module is used to optimize the safety measure set of each task group based on the minimum scope maintenance decision model to obtain the final multi-task parallel safety measure set.

[0025] Thirdly, embodiments of this application provide an electronic device, including: a processor, a memory, and a communication bus, wherein the processor and the memory communicate with each other through the communication bus; the memory stores computer program instructions that can be executed by the processor, and the computer program instructions are read and executed by the processor to perform the method provided in the first aspect or any possible implementation of the first aspect.

[0026] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when read and executed by a processor, perform the method provided in the first aspect or any possible implementation thereof.

[0027] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0028] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 A flowchart illustrating the safety measure generation method based on multi-task parallel work tickets in a distribution network, provided in this application embodiment; Figure 2 A schematic diagram illustrating the specific application process of the safety measure generation method based on multi-task parallel work tickets of distribution network provided in this application embodiment in a certain application scenario; Figure 3 This is a schematic diagram of the structure of a safety measure generation system based on multi-task parallel work tickets for power distribution networks, provided in an embodiment of this application. Figure 4 A schematic diagram illustrating the interaction process between the safety measure generation system based on multi-task parallel work tickets in a distribution network, the five-prevention platform, and the power grid management platform in a certain application scenario provided in this application embodiment; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0030] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of this application, and are therefore merely examples and should not be used to limit the scope of protection of this application.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0032] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0033] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0034] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0035] This application provides a method for generating safety measures based on parallel work orders for multiple tasks in a power distribution network. By merging tasks with adjacent electrical connections into a task group, repetitive operations on the same equipment can be avoided, reducing unnecessary workload and improving the efficiency of safety measure generation. Furthermore, the merged task group allows for unified consideration of safety measures, ensuring all tasks adhere to the same safety standards, reducing safety risks caused by inconsistencies in safety measures between tasks. Moreover, through topology search and equipment operation logic analysis, the safety measure set of the task group can be more comprehensively identified, thereby more effectively controlling operational risks and improving operational safety. Finally, the merged task group simplifies the work order content, making it clearer and easier to understand, reducing misunderstandings and errors caused by complex work order content, and thus reducing the complexity of the work order.

[0036] Please see Figure 1 This application provides a method for generating safety measures based on parallel work orders for multiple tasks in a distribution network, including: Step S110: Receive a work order to be executed containing multiple parallel tasks, and extract the task information of each task from the text of the work order to be executed; wherein, the task information includes the work location and the operation object.

[0037] The aforementioned work permit is a written document issued during power grid operations to ensure work safety, standardize work procedures, and clarify work tasks. The work permit serves as proof of employment for workers and details all safety measures required to ensure their safety. These measures may include specific operations such as de-energizing equipment, voltage testing, grounding wire installation, hanging warning signs, and installing barriers to ensure the safety and reliability of the work area. Furthermore, the work permit can provide detailed descriptions of the work tasks, such as equipment inspection, maintenance, installation, and commissioning, clarifying the work objectives and requirements for workers.

[0038] It is understandable that work orders are needed in scenarios such as distribution network operation, maintenance, testing, and repair. For example, switching operations require a work order to be filled out and the correctness of the operation sequence must be verified; equipment testing requires a work order to verify the safety measures taken before the test (such as disconnecting the power supply and connecting the grounding wire); and routine maintenance requires a work order to verify the qualifications and scope of work of the maintenance personnel. The sources of the aforementioned work orders can be distribution network work orders, plans, etc., and a work order may contain multiple tasks. After receiving a work order containing multiple parallel tasks to be executed, the electronic equipment executing the above safety measure generation method executes step S110 to extract the task information of each task from the text of the work order to be executed.

[0039] Optionally, step S110 above includes: obtaining the text of the work order to be executed; inputting the text into the trained natural language processing (NLP) model to obtain the task information of each task output by the NLP model.

[0040] The text of the aforementioned work order to be executed can be obtained through at least the following two methods: First implementation method: Manual data entry; In the human-computer interaction interface of the error prevention system, the dispatcher or work supervisor manually fills in various information of the work order according to the work task arrangement, including the work task, work location, equipment involved, safety measures, etc., and then saves and submits it to generate the text of the work order to be executed.

[0041] In addition, the error prevention system can provide operators with structured templates. After the operators fill in the work order according to the template, the electronic device that executes the above-mentioned safety measure generation method based on the parallel work order of multiple tasks in the distribution network can obtain the text of the work order to be executed.

[0042] The second implementation method: Recognize the work order image; In some scenarios, work orders to be executed are stored as images. In this case, optical character recognition (OCR) technology can be used to recognize the text in the work order image, thereby obtaining the text of the work order to be executed.

[0043] The aforementioned Natural Language Processing (NLP) model is an artificial intelligence technique that enables computers to understand, interpret, and generate human language. In the safety measure generation method based on multi-task parallel work orders in power distribution networks, the NLP model is mainly used to extract key task information from the work order text, such as the operation object, equipment type, and operation type.

[0044] The specific implementation scheme of the above scheme for extracting task information using the Natural Language Processing (NLP) model can include: (1) Text preprocessing: the text of the work order to be executed can be preprocessed by word segmentation, removal of stop words, part-of-speech tagging, named entity recognition, etc.; (2) Feature extraction: the bag-of-words model, TF-IDF model or word embedding model can be used to extract features from the preprocessed text; (3) Model prediction: the processed work order text is input into the trained NLP model, and the NLP model can be the LSTM-based sequence labeling model, BERT pre-trained model, etc.; (4) Obtain the task information of each task, which can include the operating equipment, equipment type and operation type. In addition, the task information can also include the work location of the task.

[0045] The aforementioned NLP model, through deep learning and language understanding technologies, can accurately parse work order text to identify task information, thereby improving the accuracy of task information extraction. On the other hand, it can provide stable and reliable task information extraction results, improving the stability and reliability of the aforementioned safety measure generation method based on multi-task parallel work orders in distribution networks.

[0046] Step S120: Based on the work location, the operation object, and the power distribution network topology model, group each of the tasks to obtain multiple task groups and their corresponding task group associated equipment sets; wherein, each task group includes the tasks that are electrically connected to the operation object.

[0047] It is understandable that related technologies generally generate safety measures instructions based on manually maintained equipment ledgers and preset rule bases (such as electrical interlocking logic), and the prevention of misoperation generally uses a rule engine to match equipment operation constraints. This solution cannot dynamically perceive real-time operating modes, such as ring network disconnection and distributed power supply switching, resulting in a safety measure omission rate of over 30%. In addition, manually preset rules cannot cover complex interconnection scenarios (such as cable double-ring networks), and most misoperations stem from topology changes that have not been updated in the rule base. Based on this, the embodiments of this application provide the following solution: Optionally, the above-mentioned method for generating safety measures based on parallel work tickets for multiple tasks in the distribution network further includes: acquiring the equipment status of the distribution network in real time; and dynamically updating the distribution network topology model based on the equipment status.

[0048] The aforementioned power grid topology model is a dynamic topology model covering the entire network. "Entire network" means that the topology model includes all equipment in the distribution network and their connections, while "dynamic" means that the power grid topology model can be dynamically updated based on the real-time acquired status of the distribution network equipment.

[0049] The aforementioned power grid topology model comprises equipment nodes and their interconnections. Equipment nodes represent various devices in the distribution network, such as transformers, switches (including circuit breakers, disconnectors, fuses, etc.), busbars, lines (overhead lines, cables, etc.), distributed power sources (photovoltaic power plants, wind farms, etc.), ring main units, and substations. The interconnections between equipment nodes represent the electrical connections between them, typically via lines or busbars. These connections determine the current flow paths between devices and their mutual influence. This power grid topology model provides fundamental data for the analysis and calculation of the distribution network, including network structure, equipment parameters, and operating status. This data is crucial for work order error prevention verification, work order safety measure generation, and multi-task collaborative optimization.

[0050] The above solution acquires the status of distribution network equipment in real time and dynamically updates the distribution network topology model. This allows the topology model to respond quickly when the status of distribution network equipment changes, thereby ensuring the accuracy and effectiveness of safety measures and avoiding misoperations and safety accidents caused by inaccurate topology information. On the other hand, the dynamically updated power grid topology model provides an accurate basis for the intelligent generation of safety measures, enabling the automatic generation and optimization of safety measures, reducing the workload and error rate of manual safety measure formulation, and improving the efficiency of operation and maintenance.

[0051] It is understandable that some work tasks corresponding to a work order are related in terms of task space, task objects, or task operations. These tasks can be comprehensively considered during execution, so they can be grouped in advance to facilitate the generation of safety measures and the error prevention verification of the work order. Based on this, the embodiments of this application provide the following solution: Optionally, step S120 may include: obtaining the number of switch node hops between each operation object based on the distribution network topology model and the work location; wherein, the number of switch node hops is used to characterize the number of switch nodes on the connection path between two connected operation objects; searching for tasks whose number of switch node hops between operation objects is not greater than a preset hop count threshold, and forming a task group.

[0052] The switch node jump count mentioned above is used to characterize the number of switch nodes along the connection path between two connected operating objects. In the electrical connection path of a power distribution network, switch nodes are key devices used to control the on / off state of current. The switch node jump count represents the number of switch nodes traversed along the electrical connection path from one operating object or point to another. For example, in a power distribution line, task A involves operating a switch located at the beginning of the line, while task B involves operating another device located downstream of the line, three switches away from the beginning. In this case, the jump count between the operating points of task A and task B is 2, requiring two switch nodes to be traversed.

[0053] It is understandable that when tasks are merged to form task groups, the types of operating equipment for tasks within the same task group may not be exactly the same. For example, the tasks involved in a ring main unit (container type) can be merged with the tasks involved in a downstream switch that is electrically close to it.

[0054] In the above scheme, the number of switch node trips is used as a key indicator to determine whether multiple tasks have spatial proximity. If the number of switch node trips between two tasks is small, they are generally considered to be close in terms of electrical connection structure in the distribution network and have a certain correlation. For example, the above scheme can merge tasks with a switch node trip count of no more than 1. This means that if the operation objects of two tasks are separated by only one switch node in the electrical topology, or are directly connected, they are considered to have spatial proximity and can be considered for merging to facilitate unified operation and management. Through the above grouping operation, the number of tasks can be reduced, thereby reducing the scale of independent tasks.

[0055] The equipment types of the objects to be operated are, for example, equipment such as switches, line sections, and transformers; and containers such as ring main units, distribution rooms, cable branch boxes, and transformer substations.

[0056] The switch node hop count in the above scheme can accurately reflect the adjacency relationship of the operation objects in the network topology. Using the switch node hop count not exceeding the preset hop count threshold as a criterion, operation tasks with close electrical connections and adjacent spatial locations can be identified and merged together, making the division of task groups more consistent with the actual topology of the power grid. This improves the scientificity and rationality of the above-mentioned safety measure generation method based on multi-task parallel work tickets of distribution networks in merging multiple tasks. On the other hand, using the switch node hop count not exceeding the preset hop count threshold as a criterion can also effectively avoid erroneously merging tasks that are spatially far apart and not closely connected by electricity, ensuring that the tasks in each task group have a certain correlation in terms of electrical operation and spatial location, thereby improving the efficiency and accuracy of subsequent safety measure generation and verification.

[0057] Step S130: Perform topology analysis on the set of devices associated with the task group to obtain the minimum set of operation sequences for the task group.

[0058] Optionally, the minimum operation sequence set of the task group includes topology mapping relationship, minimum operation set, shared operations, and isolation boundary switch; wherein, the minimum operation set is used to characterize the minimum set of topology edges that need to be cut to isolate each task; the isolation boundary switch is used to characterize the switch that isolates the task group's working area from other non-working areas.

[0059] Step S130 above may include: obtaining the topology mapping relationship between the operation objects in the task group associated device set and the distribution network topology model; based on the topology mapping relationship, obtaining the physical connection relationship and real-time operating status of each operation object in the task group associated device set; based on the physical connection relationship and real-time operating status of the operation objects, obtaining the minimum operation set, shared operations between task groups, and isolation boundary switches of each task group in the task group associated device set.

[0060] The minimum operation sequence set for a task group clearly defines the various power distribution network devices that need to be directly operated to complete multiple specific tasks within the task group. These devices may include switches (such as circuit breakers, disconnectors, fuses, etc.), disconnectors, grounding switches, transformers, line sections (overhead lines or cables), ring main units, and equipment in the distribution room. Furthermore, the devices in the set are directly related to the operational requirements of the task and are the objects that must be operated to achieve the task objectives. For example, if the task is to maintain a section of power distribution line, then the set of devices to be operated on that task includes switches that need to be de-energized on that line, disconnectors and grounding switches related to locations where grounding wires need to be installed, etc. The minimum operation sequence set for a task group may include: Topology mapping refers to the mapping and association between the operational objects in the set of associated devices in a task group and the topology model of the distribution network, clarifying the location and connection relationships of the devices in the distribution network. Through topology mapping, the physical connection relationships and real-time operating status of the devices can be determined, such as the opening and closing status of switches and the power supply range of the devices, providing accurate power grid status information for subsequent operations.

[0061] The minimum set of operations refers to the minimum set of device operations that can satisfy task isolation and safety constraints. While ensuring safety, the minimum set of operations can reduce unnecessary operations, lower operational complexity and the risk of misoperation, while also shortening power outage time and improving power supply reliability.

[0062] Shared operations refer to operations in multi-tasking scenarios where different task groups have the same or similar equipment operation requirements. These operations, which can be merged or shared, are called shared operations. By identifying and merging shared operations, repetitive operations can be reduced, work efficiency can be improved, and equipment wear and operational risks caused by repetitive operations can be avoided.

[0063] Isolating boundary switches are switching devices used to isolate the task area from other parts of the power grid during operation. They typically include sectionalizing switches and branch line boundary switches. Proper selection and operation of isolating boundary switches ensures safe isolation of the task area, prevents backflow or accidental energization, and protects the safety of personnel.

[0064] The above scheme ensures the minimum set of topological edges required for task isolation by obtaining the minimum set of operations in the minimum operation sequence set of the task group, thereby achieving precise isolation between the working area and the non-working area and reducing the risk of misoperation. On the other hand, by obtaining the isolation boundary switch, the impact of safety measures on the non-working area is reduced, and the power supply reliability is improved. Furthermore, it can determine the physical connection relationship and real-time operating status between the operated objects based on the topological mapping relationship, thereby providing accurate information for the generation of safety measures and improving the pertinence and effectiveness of safety measures.

[0065] Optionally, the above-mentioned method of obtaining the minimum operation set in the set of associated devices of the task group based on the physical connection relationship and real-time operating status of the operation objects includes: abstracting the distribution network topology model corresponding to the set of associated devices of the task group into a directed graph with the operation objects as nodes and the physical connection relationship between the operation objects as edges; and obtaining the minimum operation set in the directed graph based on the graph theory cut set algorithm.

[0066] The above-mentioned graph theory cut set algorithm is a mathematical method based on graph theory, used to solve problems such as network flow, connectivity, and minimum cut. The graph theory cut set algorithm can abstract the topology of the power distribution network into a directed or undirected graph, where nodes represent operation objects, i.e., equipment (such as switches, transformers, buses, etc.), and edges represent the electrical connection relationships between equipment. A cut set is a set of edges in a graph. When these edges are removed, the connectivity of the graph is destroyed, i.e., the originally connected nodes become disconnected. In a power distribution network, a cut set corresponds to a set of switch operations. By cutting off these switches, the task area can be isolated from the power supply or other areas. The process of determining the minimum set of operations, i.e., the minimum cut set, can include: (1) Initialization: Initialize the nodes and edges of the graph, and set the source and sink; (2) Find the cut set: Use an algorithm (such as the Stoer-Wagner algorithm, the Karger algorithm, etc.) to find all possible cut sets from the source to the sink; (3) Calculate the minimum cut set: Find the cut set with the fewest edges among all cut sets, i.e., the minimum cut set. The set of switches corresponding to this cut set is the minimum set of operations.

[0067] The above scheme uses a graph theory cut-set algorithm to accurately locate the minimum set of operations required to achieve task isolation, ensuring that the task area is isolated from the power source after critical connections are severed. This is beneficial to improving the security of the above-mentioned safety measure generation method based on parallel work tickets for multiple tasks in the distribution network. On the other hand, the graph theory cut-set algorithm is applicable to various power grid scales and topologies, and can automatically adjust the cut set according to changes in the power grid, ensuring that the obtained minimum set of operations is reasonable and effective, thereby improving the adaptability of the above-mentioned safety measure generation method based on parallel work tickets for multiple tasks in the distribution network.

[0068] Step S140: Based on the minimum operation sequence set of the task group, obtain the topology boundary device set of the task group, and perform topology search using a subset of the topology boundary device set to obtain the safety measure set of each task group; wherein, the topology boundary device is used to characterize the device located between the task area and the non-task area in the distribution network topology model.

[0069] The aforementioned task group topology boundary devices refer to the devices located between the task area and non-task area in the distribution network topology model. These typically include switches, disconnectors, and other devices capable of cutting off or isolating current. The task group topology boundary device set is a collection of boundary devices that work together to electrically isolate the task area from other parts of the power grid. The method for obtaining the task group topology boundary device set can include: First, based on task information and the distribution network topology model, determine the task group and its corresponding task group associated device set. This set includes the devices required to perform all tasks within the task group. Second, based on the distribution network topology model, analyze the location and connection relationships of the task group associated device set within the power grid to determine which devices are located at the boundary of the task area. Finally, through topology analysis, identify the boundary devices required to isolate the task area from other parts of the power grid. These devices are typically located at the edge of the task area and can effectively cut off the electrical connection between the task area and the external power grid.

[0070] The safety measure set for the aforementioned task group refers to the set of equipment requiring safety measures and their corresponding safety measures, determined through topology search and analysis based on the task group's topology boundary equipment set and related safety requirements, to ensure the safe execution of distribution network tasks. The equipment in this set is the specific object for implementing safety measures, used to protect the safety of the work area. Methods for obtaining safety measure equipment may include: performing a topology search using a subset of the topology boundary equipment set, employing search algorithms such as breadth-first search (BFS) or depth-first search (DFS). During the search, starting from the boundary equipment, a search is performed in the distribution network topology map according to a specific search strategy (such as BFS or DFS). During the search, the next equipment connected to the boundary equipment is traversed, and it is determined whether the equipment belongs to the task group or needs to be included in the safety measure considerations. The search terminates when the searched equipment exceeds the task group's influence range or reaches a preset topology depth. The safety set for the task group refers to a combination of safety measures determined based on the task group's operational needs and the distribution network topology. These safety measures aim to ensure the safety of distribution network operations and prevent misoperation and accidents. Safety measures can include equipment operation (such as the opening and closing of switches, disconnectors, and grounding switches), grounding measures (such as installing grounding wires), labeling measures (such as hanging warning signs), and hazard prevention and control measures (such as protective measures taken for specific risks).

[0071] Step S150: Based on the preset minimum scope maintenance decision model, optimize the safety measure set of each merged task group to obtain the final multi-task parallel safety measure set.

[0072] Optionally, step S150 may include: calculating the objective function of each operation object in the safety measure set of each task group; wherein the objective function is used to balance the power outage impact of the operation object and the operation complexity of the operation object; with the goal of minimizing the overall objective function, the tasks in the task group are collaboratively optimized to obtain the final multi-task parallel safety measure set.

[0073] The objective function described above comprehensively considers the impact of power outages on operating equipment (such as the impact on users) and operational complexity (such as the time and steps required for operation), aiming to balance these two factors. With the goal of minimizing the overall objective function, collaborative optimization is performed on each task within the task group, resulting in a multi-task parallel safety measure set. This set not only covers the optimal operating equipment but also clarifies the operating sequence and safety measures for the equipment, achieving an efficient and safe work process.

[0074] The above-mentioned scheme calculates the objective function of each operating device and performs collaborative optimization with the goal of minimizing the overall objective function. This allows for the precise determination of the necessary power outage range, avoiding unnecessary equipment outages and thus reducing the impact of power outages on users. In particular, for important and sensitive users, it can reduce economic losses and social impacts caused by power outages. On the other hand, based on the calculation and collaborative optimization of the objective function, a set of multi-task parallel safety measures can be determined, reducing unnecessary equipment operation times, lowering operational complexity, improving work efficiency, and also reducing the risk of misoperation that may be caused by operational complexity.

[0075] Optionally, the objective function includes at least one of the following: a power outage impact weighting term for the operating equipment, an operation complexity weighting term, a grounding switch operation weighting term, and a grounding wire operation weighting term, wherein: The power outage impact weighting term is obtained based on a first weight and a first quantity; wherein, the first weight is used to characterize the degree of power outage impact of the operation object on different types of users, and the first weight is proportional to the degree of power outage impact; the first quantity is used to characterize the number of users of the user type corresponding to the first weight; The operation complexity weighting term is obtained based on the second weight and the second quantity; wherein, the second weight is used to characterize the operation complexity of the operation object, and the second weight is proportional to the operation complexity; the second quantity is used to characterize the number of operation objects; The grounding switch operation weighting term is obtained based on the third weight and the third quantity; among which, the third weight is used to balance grounding safety and operation efficiency, the third weight is directly proportional to grounding safety, and the third weight is inversely proportional to operation efficiency; the third quantity is used to characterize the number of grounding switches in the operation object; The grounding operation weighting term is obtained based on the fourth weight and the fourth quantity; where the fourth weight is used to characterize the induced current protection requirements in the area where the operation object is located, and the fourth weight is proportional to the induced current protection requirements; the fourth quantity is used to characterize the number of grounding wires in the operation object.

[0076] The objective function described above can be expressed as:

[0077] in, For the weighted terms of the impact of power outages, and These are the first weight and the first quantity, respectively; As a weighted term for operational complexity, and These are the second weight and the second quantity, respectively; Weighting factors for ground knife operations, and These are the third weight and the third quantity, respectively; For ground wire operation weighting, and These are the fourth weight and the fourth quantity, respectively.

[0078] The following sections will introduce the weighted items for the power outage impact, operational complexity, grounding switch operation, and grounding wire operation: (1) Weighted terms of power outage impact ; Primarily used to quantify the impact of power outages on different types of users. First weight. It can be obtained based on user type, which can be divided into the following three types according to the degree of impact of the power outage: For critical users, such as provincial government command centers, operating rooms in top-tier hospitals, and high-speed rail dispatch centers, power outages could lead to serious social impacts or safety hazards. These users are given the highest priority. The value is relatively high.

[0079] Sensitive power users, such as those in semiconductor manufacturing, biomedicine, research institutions, and factory production lines, are at risk of significant economic losses or data loss due to power outages. These users are given the highest priority. The value is second best.

[0080] For general electricity users, such as ordinary residential households and small commercial users, the impact of power outages is relatively small. These users are given the highest priority. The value is low.

[0081] Assign different roles based on the importance of user type. Value. For example, the primary weight of important users. Set to 1.2, the first weight for sensitive users. Set to 1.0, the primary weight for general users. Set it to 0.8.

[0082] The above first quantity The method for determining the objective function can be as follows: count the number of each type of user affected by the power outage after the operation is performed on the target object. For example, a power outage on a certain target object will affect 50 ordinary residential users, 10 factory users, and 2 hospital users. Then the objective function value of the target object can be: (1.2×2)+(1.0×10)+(0.8×50) =52.4.

[0083] The aforementioned power outage impact weighting factor can prioritize reducing the impact of power outages on important and sensitive users, thereby minimizing the impact of power outage operations on users, especially reducing the impact on important and sensitive users.

[0084] (2) Operational complexity weighting ; It is mainly used to quantify the impact of the complexity of the operation object on the overall operation task. Second weight. This can be based on the complexity of device operation, and devices can be divided into the following three types according to their operational complexity: Highly complex equipment, such as large transformers and high-voltage circuit breakers, involves numerous operational steps and carries high risks. This type of equipment is considered the second most important. The value is relatively high.

[0085] Medium-complexity equipment: such as disconnect switches and fuses, involves relatively few operating steps and carries a moderate risk. This type of equipment is the second most important. The value is second best.

[0086] Low-complexity equipment, such as ordinary switches and knife switches, is simple to operate and carries low risk. This type of equipment is the second most important. The value is low.

[0087] Different assignments are made based on the complexity of the equipment. Value. For example, the second weight of a highly complex device. Set to 1.5, the second weight for medium-complexity devices. Set to 1.0, the second weight for low-complexity devices. Set it to 0.5.

[0088] The above-mentioned operational complexity weighting can prioritize reducing the operation of high-risk, high-complexity equipment (such as transformer de-energization which requires multi-level interlocking, and misoperation can easily lead to equipment damage, while ordinary disconnecting switches are relatively simple to operate), thereby optimizing the operation process and reducing operational risks.

[0089] (3) Weighted terms for ground knife operation ; Grounding switches are a core measure to prevent electric shock / reverse power transmission, but operating multiple grounding switches is time-consuming and prone to omissions. The aforementioned weighted terms for grounding switch operations are mainly used to quantify the balance between the safety necessity and operational efficiency of grounding switch operations in power distribution network work. Third weight Grounding safety requirements can be determined based on the voltage level of the object being operated on, the degree of hazard in the area, and relevant safety regulations. Objects operating in high-voltage or high-hazard areas require a higher level of grounding safety. The value is relatively high. The complexity and time required for the ground knife operation also have an impact. γ Value. Complex ground knife operations can reduce operational efficiency, therefore appropriate adjustments are necessary. Values ​​are assigned to reflect this impact. Taking into account both grounding safety and operational efficiency, different values ​​are assigned... value.

[0090] (4) Ground wire operation weighting item ; It is mainly used to quantify the induced current protection requirements of grounding operations in power distribution networks. Fourth weight. The requirements for induced current protection can be determined based on the voltage level, line type (e.g., overhead line, cable line), and surrounding environment (e.g., whether it is near high-voltage lines) of the area where the object being operated is located. Areas with high voltage levels or near high-voltage lines have a higher risk of induced current, therefore... The value is relatively high.

[0091] The above-mentioned grounding operation weighting can prioritize the grounding configuration in areas with high induced voltage risk (such as long cable lines and multi-circuit line operations on the same tower), while avoiding excessive connection in low-risk areas (which increases the operational burden).

[0092] It is understandable that the above objective function value will change with the dynamic changes of the distribution network topology model.

[0093] The above scheme, by introducing weighted terms for the power outage impact and operational complexity of the operation objects, can minimize the impact on users while ensuring power outage safety and reducing operational complexity. This allows the safety measure generation method based on multi-task parallel work orders in the distribution network to balance power outage impact and operational complexity. On the other hand, by introducing weighted terms for grounding switch operations and grounding wire operations, the safety measures can ensure grounding safety while also taking operational efficiency into account. Furthermore, the objective function comprehensively considers multiple factors such as power outage impact, operational complexity, grounding safety, and induced current protection, enabling the generated safety measure set to optimize the power outage range, operational workload, and number of grounding measures while ensuring operational safety.

[0094] Optionally, the above method for generating safety measures based on parallel work orders for multiple tasks in a distribution network also includes: Traverse the directed graph of the distribution network topology model, identify live equipment in the multi-task parallel safety measures set, and add live identification to the live equipment in the multi-task parallel safety measures set; And / or, based on the hazard knowledge base, identify hazardous devices in the multi-task parallel safety measure set, add hazard identifiers to hazardous devices in the multi-task parallel safety measure set, and add additional safety measures for hazardous devices in the multi-task parallel safety measure set; wherein, the hazard knowledge base stores hazardous devices and their corresponding additional safety measures.

[0095] The aforementioned energized equipment refers to devices in the power distribution network that are energized and have functions of power transmission, conversion, or control. These devices carry electrical energy during normal grid operation and can perform their designed functions, providing users with high-quality and reliable power. Identification and labeling of energized equipment is a crucial aspect of ensuring operational safety. Identification schemes for energized equipment may include: analyzing the connection relationships and power source locations of devices through the directed graph of the power distribution network topology model; determining whether the equipment is energized based on real-time operating data (such as voltage and current); and determining whether the equipment is connected to energized parts based on the opening and closing status of switchgear. In the safety measures set, energized labels can be added to the identified energized equipment to clearly indicate its energized status. These energized labels in the safety measures set serve as warnings, reminding workers to pay attention to safety and avoid contact with energized equipment.

[0096] The aforementioned hazardous equipment refers to equipment that may pose a threat to the safety of workers or carries a high risk during power distribution network operations. This equipment may be prone to causing safety accidents due to its special operating conditions, environment, or potential safety hazards. Hazardous equipment can include high-risk equipment, equipment in special environments, and equipment prone to failure. High-risk equipment refers to equipment with a high safety risk during operation or handling, such as high-voltage equipment, live equipment, and equipment containing hazardous substances. Equipment in special environments refers to equipment located in special environments (such as humid or flammable / explosive locations), which may increase the risk of equipment operation. Equipment prone to failure refers to equipment that has historically experienced frequent failures or accidents, and these devices may pose potential safety hazards.

[0097] Hazardous equipment can be identified using a hazard knowledge base, which is a database or knowledge base storing various hazardous equipment in the power distribution network and their corresponding safety measures. This knowledge base provides a basis and guidance for identifying and handling hazardous equipment. It can include the types, characteristics, potential risks, and corresponding additional safety measures for various hazardous equipment.

[0098] The above solution further enriches and improves the content of safety measures by adding live and hazard markers, as well as corresponding additional safety measures, to the multi-task parallel safety measure set. This makes the safety measures more comprehensively and accurately reflect the actual situation and potential risks on site, providing operators with more detailed and instructive safety operation guidelines. On the other hand, it makes the above-mentioned safety measure generation method based on multi-task parallel work tickets for distribution networks applicable to more application scenarios, which is conducive to improving the adaptability of the above-mentioned safety measure generation method based on multi-task parallel work tickets for distribution networks.

[0099] It is understandable that the error prevention verification in related technologies is only triggered when the work order is authorized, verifying whether the real-time status of the equipment meets the safety requirements. No error prevention verification is performed on the work order during the storage and completion phases. Logical errors in the work order during the storage phase (such as closing a grounding switch while energized) are only exposed upon authorization, leading to the need for rework and modification of most work orders, thus increasing the workload of staff. Furthermore, due to the lack of equipment status recovery verification, traceability is impossible after completion, potentially causing serious operational errors. Based on this, the embodiments of this application provide the following solution: Optionally, the above-mentioned method for generating safety measures based on multi-task parallel work tickets in a distribution network may further include: performing a save-stage error prevention check on the set of multi-task parallel safety measures based on the save-stage check rules; performing a permit-stage error prevention check on the set of multi-task parallel safety measures based on the permit-stage check rules in response to a permit check request; and performing a completion check on the operation objects in the set of multi-task parallel safety measures based on the completion-stage check rules in response to a completion check request.

[0100] The main purpose of the above-mentioned error prevention verification during the storage phase is to ensure that the set of security measures is logically correct, complete, and compliant with specifications when stored. The focus of error prevention verification is to check the completeness and logic of the set of security measures to ensure that there are no obvious errors when stored.

[0101] The error prevention verification during the storage phase may include: (1) mandatory field check: check whether all items in the safety measures set are filled in completely, such as operating equipment, operation type, operation sequence, etc. (2) logical consistency check: verify whether the logical relationship between safety measures is reasonable, for example, whether the grounding wire is installed on the power supply side of the de-energized equipment. (3) rule compliance check: check whether the safety measures comply with relevant rules and standards based on the safety measures rule base and hazard knowledge base.

[0102] If the error prevention check fails during the saving phase, an error message will be returned, prompting the user to make corrections until the check passes before saving.

[0103] The main purpose of the aforementioned error prevention verification during the permitting phase is to ensure that the set of safety measures is consistent with the actual site conditions and that the operating equipment is in compliance with requirements when the work order is issued. The focus of error prevention verification during the permitting phase is to verify the consistency between the set of safety measures and the actual site conditions, ensuring the feasibility of the operation.

[0104] The verification process for preventing errors during the licensing phase may include: (1) Equipment status check: verifying whether the current status of the operating equipment is consistent with the requirements in the set of safety measures, such as whether the switch is in the open position. (2) Real-time data verification: confirming the feasibility of safety measures by combining real-time operating data, for example, checking whether the de-energized equipment has no voltage. (3) Operation sequence verification: reconfirming the correctness of the operation sequence to ensure that the operation process is safe and efficient.

[0105] If the verification for preventing errors during the permission phase fails, the specific reason will be returned, and the dispatcher or work supervisor will assess whether work can commence. If necessary, the set of safety measures will be re-edited.

[0106] The main purpose of the aforementioned completion-stage error prevention verification is to ensure that the operating equipment has been restored to its initial state after the work is completed, preventing omissions or incorrect restoration of equipment status. The focus of the completion-stage error prevention verification is to confirm the restoration of equipment status and the cleanup of the work site, ensuring site safety after the work is completed.

[0107] The above-mentioned completion stage anti-misoperation verification may include: (1) Equipment status restoration check: verify whether the final status of the operating equipment is consistent with the status before work, such as whether the switch has been closed and energized. (2) Grounding wire removal confirmation: confirm that all grounding wires have been removed to prevent safety hazards caused by missing grounding wires. (3) Work site cleanup check: check whether the work site has been cleaned up and whether the workers have evacuated.

[0108] If the verification for preventing errors fails during the completion phase, record the problem and take corresponding measures, such as re-operating the equipment to restore its state, to ensure on-site safety.

[0109] It is understandable that different verification rules can be used at different stages to meet the requirements of error prevention verification at the corresponding stage, thereby achieving differentiated closed-loop verification of work orders.

[0110] The three-tiered verification mechanism—comprising verification at the retention, licensing, and completion stages—in the aforementioned scheme can minimize safety incidents caused by work order issues, thereby improving the accuracy and security of work orders. Furthermore, the three-tiered verification mechanism can promptly identify and address problems, improving work efficiency. Moreover, it clarifies the verification rules and standards for work orders at different stages, making work order management more standardized and regulated, promoting the implementation and execution of work order management systems, and enhancing the standardization and rigor of work order management.

[0111] Please see Figure 2 The following are the specific application steps of the above-mentioned safety measure generation method based on multi-task parallel work tickets in a certain application scenario: Step 1: Import work orders via multiple tasks; The system receives multiple tasks from a power distribution network work order, parses the work order text, and extracts task information through natural language processing (NLP). The task information includes: operating equipment, equipment type, operation type, and work location.

[0112] Step 2: Merge related tasks in the associated space; Merge related tasks based on work location and task object type: If the operating equipment is equipment type (switch, line segment, transformer, etc.) or container type (ring mains cabinet, power distribution room, cable branch box, transformer box), the number of switch node jumps between objects is ≤1.

[0113] Merge tasks that are "spatially adjacent (number of switch jumps ≤ 1) (spatial proximity determination to avoid blind merging across regions) and have the same type of operating equipment" to reduce the number of independent tasks.

[0114] The output of this step is: merged into "related tasks in the associated space" (the number of tasks is reduced from n to m, reducing the size of independent tasks).

[0115] Step 3: Generate the set of devices associated with the task group; Based on the task information of related tasks in the associated space, the task group is classified into task groups, and a set of associated devices for each task group is generated (this set can provide device dimension mapping for multi-task collaborative optimization), clarifying the devices that need to be operated in each group.

[0116] Step 4: Collaborative generation of multi-task security measures driven by the dynamic topology model of the entire network; The supporting data for this step includes: dynamic distribution network topology, including the overall network topology model of feeders and substations, and real-time equipment data.

[0117] Sub-step 1: Perform dynamic topology mapping; Map the equipment operations of the task group to the dynamic topology model of the distribution network (including the real-time equipment status of feeder substations) to determine the physical connection relationship and real-time operating status of the equipment (such as the opening and closing status of switches).

[0118] Sub-step 2: Obtain the minimum set of operations; The distribution network topology is abstracted as a directed graph, with nodes representing devices and edges representing the connections between devices. A graph theory cut-set algorithm is used to determine cut sets. Task isolation is achieved by cutting the fewest possible topological edges (switch connection points), satisfying safety constraints. A cut set is the minimum set of edges that isolates the task area from the power supply after cutting.

[0119] Sub-step 3: Determine the sharing operation; Identify shared operations in different task groups (such as repeated tripping requirements of the same circuit breaker or switch), and merge repetitive operations to reduce workload.

[0120] Sub-stage 4: Identify boundary switches; Identify the isolation boundary switches (such as sectionalizing switches and branch line boundary switches) for the task group to ensure that the power outage area is minimized and compliant.

[0121] The output of step four includes: a set of minimum operation sequences for the task group, including: dynamic topology mapping, minimum operation set, shared operations, and boundary switches.

[0122] Step 5: Construct the task group topology boundary device set; Construct a set of boundary devices for each task within the task group (such as switches and disconnectors for isolation). Perform a topology search on a subset of these boundary devices to obtain the set of safety devices for the task group. The safety devices for each task group are determined through this "topology search" and serve as the isolation baseline for subsequent maintenance.

[0123] Step 6: Obtain the final set of multi-task parallel safety measures using the minimum scope maintenance decision model; The main purpose of this step is to balance security with minimum operational scope through device / user weighting, and it mainly includes the following steps: Sub-step 1: Obtain the database of equipment and electricity user weights; Construct a weighted rule base and assign differentiated weights to equipment (transformers, switches) and users (important, sensitive, and general users) (e.g., a weight of 1.2 for hospital power supply transformers and 0.8 for ordinary residential lines).

[0124] Sub-step 2: Weighting factor injection; Inject device weights and user weights into the optimization model and adjust the operation priority (prioritizing the power supply safety of high-weight users and devices).

[0125] Sub-step 3: Generate a weighted set of device operations; The formula for calculating the weights of the multi-task collaborative optimization in the above minimum range maintenance model is as follows:

[0126] The core function of the weighted objective function in the above minimum scope maintenance decision model is to balance the impact of power outages (user side) and operational complexity (equipment side), and optimize the maintenance scope, operational workload, and number of grounding measures while ensuring safety.

[0127] For the calculation methods and parameter acquisition methods of each term in the objective function, please refer to the introduction of the objective function above, which will not be repeated here.

[0128] Sub-step 4: Identification of live equipment through directed graph traversal; Traverse the directed graph of the distribution network topology to identify and retain energized equipment / lines (such as branch lines and adjacent lines in non-operational areas) to avoid accidental power outages or misoperations.

[0129] Sub-step 5: Linking the hazard knowledge base to represent hazardous equipment; The system calls upon the hazard knowledge base, which contains hazard types, levels, and pre-control measures. Additional safety measures are generated for high-risk tasks (such as distributed power supply operations on the low-voltage side of branch lines) (e.g., photovoltaic backfeeding requires disconnecting the AC side switch of the inverter).

[0130] Step 7: Final intelligent security measure set generation; Based on the refined set of equipment operations output by the minimum scope maintenance decision model, including switches, disconnectors, grounding switches, grounding wires, tagging operations, and safety measures (hazard pre-control measures, personnel monitoring requirements), a structured set of multi-task parallel safety measures is generated. This set can be a standardized safety measure document that can directly guide operations.

[0131] Step 8: Perform error prevention verification during the storage phase; The safety measures set is verified based on the dynamic topology of the entire network and the distribution network anti-misoperation rule base (such as "prohibit switching off under load" and "prevent backfeeding") to prevent misoperation. After the anti-misoperation verification is passed, the safety measures set takes effect and the operation process continues; if the verification fails (such as the risk of backfeeding still exists after a switch is opened), the reason for the failure of the anti-misoperation verification and the prompt information are given, triggering process backtracking and optimization.

[0132] Please see Figure 3 Based on the same inventive concept, this application also provides a safety measure generation system 200 based on multi-task parallel work tickets for power distribution networks, comprising: The task information extraction module 210 is used to receive a work order to be executed containing multiple parallel tasks, and extract the task information of each task from the text of the work order to be executed; wherein, the task information includes the work location and the operation object; The task group acquisition module 220 is used to group the tasks based on the work location, the operation object, and the power distribution network topology model to obtain multiple task groups and their corresponding task group associated equipment sets; wherein, each task group includes the tasks that are electrically connected to the operation object; The task group minimum operation sequence set acquisition module 230 is used to perform topology analysis on the task group associated device set to obtain the task group minimum operation sequence set. The safety measure set acquisition module 240 is used to acquire the topology boundary device set of the task group based on the minimum operation sequence set of the task group, and perform topology search using a subset of the topology boundary device set to obtain the safety measure set of each task group; wherein, the topology boundary device is used to characterize the device located between the task area and the non-task area in the distribution network topology model; The multi-task parallel safety measure set acquisition module 350 is used to optimize the safety measure set of each task group based on the minimum scope maintenance decision model to obtain the final multi-task parallel safety measure set.

[0133] Optionally, the task group acquisition module 220 is specifically used to: acquire the number of switch node hops between each of the operation objects based on the power distribution network topology model and the work location; wherein, the number of switch node hops is used to characterize the number of switch nodes on the connection path between two connected operation objects; and search for tasks whose number of switch node hops between the operation objects is not greater than a preset hop count threshold to form the task group.

[0134] Optionally, the minimum operation sequence set of the task group includes a topology mapping relationship, a minimum operation set, shared operations, and an isolation boundary switch; wherein, the minimum operation set is used to characterize the minimum set of topology edges that need to be cut to isolate each of the tasks; the isolation boundary switch is used to characterize a switch that isolates the working area of ​​the task group from other non-working areas; The aforementioned task group minimum operation sequence set acquisition module 230 is specifically used for: acquiring the topology mapping relationship between the operation objects in the task group associated device set and the distribution network topology model; acquiring the physical connection relationship and real-time operating status of each operation object in the task group associated device set based on the topology mapping relationship; and acquiring the minimum operation set, shared operations between the task groups, and isolation boundary switches of each task group in the task group associated device set based on the physical connection relationship and the real-time operating status of the operation objects.

[0135] Optionally, the task group minimum operation sequence set acquisition module 230 is specifically used to: based on the physical connection relationship of the operation objects and the real-time operating status, using the operation objects as nodes and the physical connection relationship between the operation objects as edges, abstract the power distribution network topology model corresponding to the task group associated device set into a directed graph; and obtain the minimum operation set in the directed graph based on the graph theory cut set algorithm.

[0136] Optionally, the multi-task parallel safety measure set acquisition module described above is specifically used to: calculate the objective function of each operation object in the safety measure set of each task group; wherein, the objective function is used to balance the power outage impact of the operation object and the operation complexity of the operation object; with the goal of minimizing the overall objective function, perform collaborative optimization on each task in the task group to obtain the final multi-task parallel safety measure set.

[0137] Optionally, the objective function includes at least one of the following: a power outage impact weighting term for the operating equipment, an operation complexity weighting term, a grounding switch operation weighting term, and a grounding wire operation weighting term, wherein: The power outage impact weighting term is obtained based on a first weight and a first quantity; wherein, the first weight is used to characterize the degree of power outage impact of the operation object on different types of users, and the first weight is proportional to the degree of power outage impact; the first quantity is used to characterize the number of users of the user type corresponding to the first weight; The operation complexity weighting term is obtained based on a second weight and a second quantity; wherein, the second weight is used to characterize the operation complexity of the operation object, and the second weight is proportional to the operation complexity; the second quantity is used to characterize the number of operation objects; The grounding switch operation weighting term is obtained based on a third weight and a third quantity; wherein, the third weight is used to balance grounding safety and operation efficiency, the third weight is directly proportional to grounding safety and inversely proportional to operation efficiency; the third quantity is used to characterize the number of grounding switches in the operation object; The ground wire operation weighting term is obtained based on a fourth weight and a fourth quantity; wherein, the fourth weight is used to characterize the induced current protection requirement in the area where the operation object is located, and the fourth weight is proportional to the induced current protection requirement; the fourth quantity is used to characterize the number of ground wires in the operation object.

[0138] Optionally, the aforementioned safety measure generation system 200 based on multi-task parallel work tickets for distribution networks further includes: The live equipment identification module is used to traverse the directed graph of the power distribution network topology model, identify live equipment in the multi-task parallel safety measures set, and add a live identifier to the live equipment in the multi-task parallel safety measures set. And / or, a hazardous point device identification module is used to identify hazardous point devices in the multi-task parallel safety measure set based on a hazardous point knowledge base, add a hazardous point identifier to the hazardous point device in the multi-task parallel safety measure set, and add additional safety measures for the hazardous point device in the multi-task parallel safety measure set; wherein, the hazardous point knowledge base stores the hazardous point device and its corresponding additional safety measures.

[0139] Optionally, the aforementioned safety measure generation system 200 based on multi-task parallel work tickets for distribution networks further includes: The save-stage error prevention verification module is used to perform save-stage error prevention verification on the multi-task parallel security measures set based on the save-stage verification rules. The license phase error prevention verification module is used to perform license phase error prevention verification on the multi-task parallel security measure set in response to the license verification request, based on the license phase verification rules. The completion stage error prevention verification module is used to respond to the completion verification request and perform completion verification on the operation objects in the multi-task parallel security measures set based on the completion stage verification rules.

[0140] Optionally, the aforementioned safety measure generation system 200 based on multi-task parallel work tickets for distribution networks further includes: The topology dynamic update module is used to obtain the equipment status of the distribution network in real time; based on the equipment status, the distribution network topology model is dynamically updated.

[0141] Optionally, the task information extraction module 210 described above is specifically used to: obtain the text of the work order to be executed; input the text into the trained natural language processing (NLP) model, and obtain the task information of each task output by the NLP model.

[0142] Please see Figure 4 In a complete work order operation process in a certain application scenario, the interaction steps between the aforementioned safety measure generation system 200 based on multi-task parallel work orders in the power distribution network, the five-prevention platform 310, and the power grid management platform 320 mainly include: (1) Login to the Five-Prevention Platform 310; Users can log in to the 310 Five-Prevention Platform; (2) Processing of basic information for work orders; Users can perform the "Process Work Permit (Manually Enter Plan Number)" operation on the Five-Prevention Platform 310 to complete the initial information entry for the work permit.

[0143] (3) Use the above-mentioned safety measure generation system 200 based on multi-task parallel work tickets of distribution network to obtain a set of multi-task parallel safety measures; (4) The five-prevention platform 310 performs error prevention verification during the storage phase of the multi-task parallel security measures set.

[0144] (5) The five-prevention platform 310 performs login verification to the power grid management platform 320; After the five-prevention platform 310 completes the error prevention verification step during the storage phase, it sends a user login verification (data recognition platform) request to the power grid management platform 320 to verify the legitimacy of the user's identity.

[0145] (6) The power grid management platform 320 sends a login verification response to the five-prevention platform 310; After verifying the user's legitimacy, the power grid management platform 320 returns a "verification passed" result to the five-prevention platform 310, allowing the process to continue.

[0146] (7) The five-prevention platform 310 synchronizes work order information with the power grid management platform 320; The five-prevention platform 310 synchronizes work order information (work order personnel, safety measures, etc.) with the power grid management platform 320, and shares the entered work order data with the power grid management platform 320.

[0147] (8) The power grid management platform 320 performs compliance verification of the work order; The power grid management platform 320 performs a "verification of required fields and plan number" check on the received work orders to ensure that the information is complete and compliant.

[0148] (9) The power grid management platform 320 feeds back the work order compliance verification results to the five-prevention platform 310; The power grid management platform 320 reports the work order compliance verification result to the five-prevention platform 310. If the verification is successful, it returns a successful save; if the verification fails, it returns the agreed code and the reason for failure. The five-prevention platform 310 needs to go through the editing and saving process again, correct it, and resubmit it.

[0149] (10) The power grid management platform 320 approves the work order; After the work order compliance verification is passed, the power grid management platform 320 initiates the work order approval process, starting the standardized approval stage. During this stage, the power grid management platform 320 can use the message middleware RocketMQ to send notifications to the five-prevention platform 310 to synchronize the work order process status and data.

[0150] (11) The power grid management platform 320 issues work order authorization; After the power grid management platform 320 completes the approval process, the work order enters the licensing stage. During this stage, the power grid management platform 320 can use the message middleware RocketMQ to send notifications to the five-prevention platform 310 to synchronize the work order process status and data.

[0151] (12) The power grid management platform 320 requests the five-prevention platform 310 to perform a verification to prevent errors during the licensing phase; The power grid management platform 320 initiates a permission-stage error prevention verification request to the five-prevention platform 310 to further verify operational security.

[0152] (13) The five-prevention platform 310 sends a false alarm verification response to the power grid management platform 320; After completing the anti-misoperation verification, the five-prevention platform 310 returns the verification result to the power grid management platform 320. The verification result includes verification passed and verification failed. When the verification fails, the power grid management platform 320 can record the reason for the work order verification failure and the verification time, and pop up a reminder message to the user. The user can choose to grant permission to start work or re-verify the anti-misoperation verification.

[0153] (14) The power grid management platform 320 confirmed the permission to commence construction; After error prevention verification, the power grid management platform 320 confirmed the permission to start work and officially approved the work order to proceed to the implementation phase.

[0154] (15) The power grid management platform 320 is in synchronous operation with the five-prevention platform 310; The power grid management platform 320 synchronously approves the commencement status to the five-prevention platform, informing that the current work order has met the commencement conditions.

[0155] (16) The power grid management platform verifies the equipment status using 320. The power grid management platform 320 sends a request to the five-prevention platform 310 to verify the equipment status, and the five-prevention platform 310 performs a completion stage verification.

[0156] (17) Work completed; The five-prevention platform 310 returns equipment status information related to the work order based on the real-time status information of the power grid, and the power grid management platform 320 saves the record. After completing the work order task, the power grid management platform 320 initiates the work termination process. The power grid management platform 320 can use the message middleware RocketMQ to send a notification to the five-prevention platform 310 to synchronize the work order process status and data, ensuring the consistency of work order process status and data between systems.

[0157] Figure 5 This is a schematic diagram of an electronic device provided in an embodiment of this application. (Refer to...) Figure 5 The electronic device 400 includes a processor 410, a memory 420, and a communication interface 430. These components are interconnected and communicate with each other via a communication bus 440 and / or other forms of connection mechanism (not shown).

[0158] The memory 420 includes one or more (only one is shown in the figure), which may be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The processor 410 and other possible components may access the memory 420 to read and / or write data therein.

[0159] Processor 410 includes one or more (only one is shown in the figure), which can be an integrated circuit chip with signal processing capabilities. The processor 410 described above can be a general-purpose processor, including a central processing unit (CPU), a microcontroller unit (MCU), a network processor (NP), or other conventional processors; it can also be a special-purpose processor, including a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0160] Communication interface 430 includes one or more (only one is shown in the figure) that can be used to communicate directly or indirectly with other devices to exchange data. For example, communication interface 430 can be an Ethernet interface; it can be a mobile communication network interface, such as an interface for 3G, 4G, or 5G networks; or it can be other types of interfaces with data transmission and reception capabilities.

[0161] One or more computer program instructions may be stored in the memory 420. The processor 410 may read and run these computer program instructions to implement the safety measure generation method based on multi-task parallel work tickets of power distribution network provided in the embodiments of this application, as well as other desired functions.

[0162] Understandable. Figure 5 The structure shown is for illustrative purposes only; the electronic device 400 may also include more than [other components]. Figure 5 The more or fewer components shown, or having the same Figure 5 The different configurations shown. Figure 5 The components shown can be implemented using hardware, software, or a combination thereof. For example, electronic device 400 can be a single server (or other device with computing power), a combination of multiple servers, a cluster of a large number of servers, etc., and can be either a physical device or a virtual device.

[0163] This application also provides a computer-readable storage medium storing computer program instructions. These instructions are read and executed by a computer processor to perform the safety measure generation method based on multi-task parallel work orders in a power distribution network provided in this application. For example, the computer-readable storage medium can be implemented as follows: Figure 5 The memory 420 in the electronic device 400.

[0164] In the embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0165] Furthermore, the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0166] Furthermore, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0167] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for generating safety measures based on parallel work orders for multiple tasks in a distribution network, characterized in that, The method includes: Receive a work order to be executed containing multiple parallel tasks, and extract task information for each task from the text of the work order to be executed; wherein, the task information includes the work location and the object of operation; Based on the work location, the operation object, and the power distribution network topology model, each of the tasks is grouped to obtain multiple task groups and their corresponding sets of associated equipment; wherein, each task group includes the tasks that are electrically connected to the operation object. A topology analysis is performed on the set of devices associated with the task group to obtain the minimum set of operation sequences for the task group; Based on the minimum operation sequence set of the task group, the topology boundary device set of the task group is obtained, and a topology search is performed using a subset of the topology boundary device set to obtain the safety measure set of each task group; wherein, the topology boundary device is used to characterize the device located between the task area and the non-task area in the distribution network topology model; Based on the minimum scope maintenance decision model, the safety measures set for each task group is optimized to obtain the final multi-task parallel safety measures set.

2. The method for generating safety measures based on parallel work orders for multi-task distribution networks according to claim 1, characterized in that, Based on the work location, the operation object, and the power distribution network topology model, the tasks are grouped to obtain multiple task groups, including: Based on the power distribution network topology model and the work location, the number of switch node hops between each of the operation objects is obtained; wherein, the number of switch node hops is used to characterize the number of switch nodes on the connection path between two connected operation objects; The task group is formed by searching for tasks whose number of hops between the switch nodes of the operation objects is not greater than a preset hop threshold.

3. The method for generating safety measures based on parallel work orders for multi-task distribution networks according to claim 1, characterized in that, The minimum operation sequence set of the task group includes a topological mapping relationship, a minimum operation set, shared operations, and an isolation boundary switch; wherein, the minimum operation set is used to represent the minimum set of topological edges that need to be cut to isolate each of the tasks; the isolation boundary switch is used to represent a switch that isolates the working area of ​​the task group from other non-working areas; The step of performing topology analysis on the set of associated devices of the task group to obtain the minimum set of operation sequences for the task group includes: Obtain the topology mapping relationship between the operation object in the set of associated devices of the task group and the distribution network topology model; Based on the topology mapping relationship, the physical connection relationship and real-time running status of each operation object in the set of associated devices of the task group are obtained; Based on the physical connection relationship of the operation objects and the real-time operating status, obtain the minimum operation set, the shared operations between the task groups, and the isolation boundary switches of each task group from the set of associated devices of the task group.

4. The method for generating safety measures based on parallel work orders for multi-task distribution networks according to claim 3, characterized in that, The step of obtaining the minimum set of operations from the set of associated devices in the task group based on the physical connection relationship of the operation object and the real-time operating status includes: Based on the physical connection relationship and real-time operating status of the operation objects, the distribution network topology model corresponding to the set of associated devices of the task group is abstracted into a directed graph, with the operation objects as nodes and the physical connection relationship between the operation objects as edges. Based on the graph theory cut set algorithm, the minimum set of operations is obtained in the directed graph.

5. The method for generating safety measures based on parallel work orders for multi-task distribution networks according to claim 1, characterized in that, The optimization of the safety measure set for each task group based on the minimum scope maintenance decision model yields the final multi-task parallel safety measure set, which includes: Calculate the objective function for each of the operational objects in the safety measure set of each of the task groups; wherein the objective function is used to balance the power outage impact of the operational object and the operational complexity of the operational object; With the goal of minimizing the overall objective function, the tasks within the task group are collaboratively optimized to obtain the final set of multi-task parallel safety measures.

6. The method for generating safety measures based on parallel work orders for multi-task distribution networks according to claim 5, characterized in that, The objective function includes at least one of the following: a power outage impact weighting term for the operated object, an operation complexity weighting term, a grounding switch operation weighting term, and a grounding wire operation weighting term, wherein: The power outage impact weighting term is obtained based on a first weight and a first quantity; wherein, the first weight is used to characterize the degree of power outage impact of the operation object on different types of users, and the first weight is proportional to the degree of power outage impact; the first quantity is used to characterize the number of users of the user type corresponding to the first weight; The operation complexity weighting term is obtained based on a second weight and a second quantity; wherein, the second weight is used to characterize the operation complexity of the operation object, and the second weight is proportional to the operation complexity; the second quantity is used to characterize the number of operation objects; The grounding switch operation weighting term is obtained based on a third weight and a third quantity; wherein, the third weight is used to balance grounding safety and operation efficiency, the third weight is directly proportional to grounding safety and inversely proportional to operation efficiency; the third quantity is used to characterize the number of grounding switches in the operation object; The ground wire operation weighting term is obtained based on a fourth weight and a fourth quantity; wherein, the fourth weight is used to characterize the induced current protection requirement in the area where the operation object is located, and the fourth weight is proportional to the induced current protection requirement; the fourth quantity is used to characterize the number of ground wires in the operation object.

7. The method for generating safety measures based on parallel work orders for multi-task distribution networks according to claim 5, characterized in that, The method further includes: Traverse the directed graph of the power distribution network topology model, identify live equipment in the multi-task parallel safety measures set, and add a live identifier to the live equipment in the multi-task parallel safety measures set; And / or, based on the hazard knowledge base, identify hazardous devices in the multi-task parallel safety measure set, add hazard identifiers to the hazardous devices in the multi-task parallel safety measure set, and add additional safety measures for the hazardous devices in the multi-task parallel safety measure set; wherein, the hazard knowledge base stores the hazardous devices and their corresponding additional safety measures.

8. The method for generating safety measures based on multi-task parallel work orders in a distribution network according to any one of claims 1 to 7, characterized in that, The method further includes: Based on the storage phase verification rules, the multi-task parallel security measures set is subjected to storage phase error prevention verification. In response to the license verification request, based on the license stage verification rules, a license stage error prevention verification is performed on the set of multi-task parallel security measures; In response to the completion verification request, the operation objects in the multi-task parallel security measures set are subjected to completion verification based on the completion stage verification rules.

9. The method for generating safety measures based on multi-task parallel work orders in a distribution network according to any one of claims 1 to 7, characterized in that, The method further includes: Real-time acquisition of equipment status in the power distribution network; The power distribution network topology model is dynamically updated based on the device status.

10. The method for generating safety measures based on multi-task parallel work orders in a distribution network according to any one of claims 1 to 7, characterized in that, The process of extracting task information for each task from the text of the work order to be executed includes: Retrieve the text of the work order to be executed; The text is input into a trained Natural Language Processing (NLP) model to obtain task information for each task output by the NLP model.

11. A safety measure generation system based on multi-task parallel work orders in a power distribution network, characterized in that, include: The task information extraction module is used to receive a work order containing multiple parallel tasks and extract the task information of each task from the text of the work order; wherein, the task information includes the work location and the operation object; The task group acquisition module is used to group the tasks based on the work location, the operation object, and the power distribution network topology model to obtain multiple task groups and their corresponding task group associated equipment sets; wherein, each task group includes the tasks that are electrically connected to the operation object; The task group minimum operation sequence set acquisition module is used to perform topology analysis on the set of devices associated with the task group to obtain the task group minimum operation sequence set. The safety measure set acquisition module is used to obtain the topology boundary device set of the task group based on the minimum operation sequence set of the task group, and perform topology search using a subset of the topology boundary device set to obtain the safety measure set of each task group; wherein, the topology boundary device is used to characterize the device located between the task area and the non-task area in the distribution network topology model; The multi-task parallel safety measure set acquisition module is used to optimize the safety measure set of each task group based on the minimum scope maintenance decision model to obtain the final multi-task parallel safety measure set.

12. An electronic device, characterized in that, include: A processor, a memory, and a communication bus, wherein the processor and the memory communicate with each other via the communication bus; The memory stores program instructions that can be executed by the processor, and the processor can execute the method as described in any one of claims 1 to 10 by calling the program instructions.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a computer, cause the computer to perform the method as described in any one of claims 1 to 10.

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