Electric power first-aid repair construction operation duration analysis method and system

Abstract

The invention discloses an electric power first-aid repair construction operation duration analysis method and system, and relates to the technical field of construction operation, and the method comprises the steps: obtaining electric power first-aid repair work information, and carrying out the flow division of the electric power first-aid repair work information to obtain an electric power first-aid repair flow chain; carrying out first-aid repair simulation based on the power first-aid repair process chain to obtain a first-aid repair simulation model, formulating a plurality of prediction conditions corresponding to the first-aid repair simulation model, and carrying out branch simulation on the first-aid repair simulation model based on the prediction conditions to obtain a plurality of scene simulation models; setting simulation nodes corresponding to the scene simulation models, and performing time assignment based on the simulation nodes to respectively obtain working durations corresponding to the plurality of scene simulation models; and collecting actual power line repair construction information in real time and matching the actual power line repair construction information with the corresponding scene simulation model. According to the method, rapid configuration can be better carried out according to the actual situation to carry out subsequent power repair time length prediction analysis, the more accurate power repair time length is obtained, and the efficiency of analyzing and predicting the power repair time length is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of construction operations, and in particular to a method and system for analyzing the duration of power emergency repair construction operations. Background Art

[0002] Power emergency repair construction is an important guarantee for the safe and stable operation of the power system. When a power system fails, if emergency repairs cannot be carried out in time, it may lead to the expansion of the power outage, aggravated equipment damage, and even cause more serious safety accidents. Therefore, emergency repairs are needed for power failures. When a power system fails or a power outage occurs, users report the problem to the power company by phone or online platform. The emergency repair department or customer service personnel of the power company receives and records the fault information, including the location of the fault, user information, fault type, etc. In the process of task allocation and emergency repair operations, it is difficult to predict problems that may arise at any time, and it is difficult to accurately analyze and predict the duration of emergency repairs. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for analyzing the duration of power emergency repair construction operations to overcome the deficiencies in the background technology.

[0004] In order to achieve the above-mentioned purpose, the present invention provides the following technical solutions: a method for analyzing the duration of power emergency repair construction work, obtaining power emergency repair work information, dividing the power emergency repair work information into processes to obtain a power emergency repair process chain;

[0005] Perform emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulate multiple prediction situations corresponding to the emergency repair simulation model, and perform branch simulation on the emergency repair simulation model based on the prediction situation to obtain multiple scenario simulation models;

[0006] Simulation nodes are set corresponding to the scenario simulation models, and time assignment is performed based on the simulation nodes to obtain the corresponding working hours of multiple scenario simulation models;

[0007] The actual power emergency repair construction information is collected in real time and matched with the corresponding scenario simulation model, and the predicted duration of the actual power emergency repair construction information is predicted according to the simulation nodes.

[0008] In a preferred embodiment, the step of dividing the power emergency repair work information into processes to obtain a power emergency repair process chain includes:

[0009] Obtaining power emergency repair fault information, wherein the power emergency repair fault information includes the power emergency repair fault cause and the corresponding fault location, and matching the corresponding power emergency repair fault information with corresponding repair personnel information;

[0010] The emergency repair personnel information and the corresponding power emergency repair fault information are used as power emergency repair work information;

[0011] The process of collecting power emergency repair fault information is sorted to obtain the emergency repair process, and the emergency repair process is divided according to the process to obtain the power emergency repair process chain.

[0012] In a preferred embodiment, the steps of performing emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulating multiple prediction situations corresponding to the emergency repair simulation model, and performing branch simulation on the emergency repair simulation model based on the prediction situations to obtain multiple scenario simulation models include:

[0013] The emergency repair simulation model is constructed based on the power emergency repair process chain;

[0014] A plurality of prediction situations corresponding to the process configuration in the emergency repair simulation model, wherein the prediction situation includes emergency repair problems that may be encountered in the corresponding process and emergency repair measures corresponding to the emergency repair problems;

[0015] The emergency repair simulation model is copied to obtain multiple sub-emergency repair simulation models, and the sub-emergency repair simulation models are selected one-to-one according to the prediction situation to construct multiple scenario simulation models;

[0016] According to the process, multiple scenario simulation models are classified and mapped to the emergency repair simulation model for branch simulation.

[0017] In a preferred embodiment, the step of classifying multiple scenario simulation models according to the process and corresponding them to the emergency repair simulation model for branch simulation includes:

[0018] Mark multiple branch points in the emergency repair simulation model, and configure corresponding cloud spaces for the multiple branch points;

[0019] Obtain the difference points of multiple scenario simulation models and emergency repair simulation models. If the difference points coincide with the branch points, the coincident branch points are used as combination points. If the difference points do not coincide with the branch points, the previous branch point of the non-coincident branch points is used as the combination point.

[0020] Multiple scenario simulation models are combined with emergency repair simulation models according to combination points to perform branch simulation.

[0021] In a preferred embodiment, the step of combining multiple scenario simulation models with the emergency repair simulation model according to the combination point to perform branch simulation includes:

[0022] Overlapping the partial models before the combination point of the multiple scenario simulation models with the corresponding emergency repair simulation models respectively, branching the partial models after the combination point of the multiple scenario simulation models with the emergency repair simulation model and storing them in the cloud space corresponding to the combination point;

[0023] According to the process, ports are set in multiple scenario simulation models, the cloud spaces of the multiple scenario simulation models are connected for communication, and based on the communication connection of the cloud spaces of the multiple scenario simulation models, the ports of the multiple scenario simulation models are interconnected to obtain branch simulations of the multiple scenario simulation models and the emergency repair simulation model.

[0024] In a preferred embodiment, the steps of setting simulation nodes for the corresponding scenario simulation models and performing time assignment based on the simulation nodes to obtain the working hours corresponding to the multiple scenario simulation models include:

[0025] Set simulation nodes corresponding to the process starting points in the scenario simulation model;

[0026] The corresponding simulation node presets the working time of the corresponding process;

[0027] The working time of each scenario simulation model is obtained based on the working time of multiple processes in the multiple scenario simulation models.

[0028] In a preferred embodiment, the step of collecting actual power emergency repair construction information in real time and matching the corresponding scenario simulation model, and predicting the predicted duration of the actual power emergency repair construction information according to the simulation node includes:

[0029] Collect actual power emergency repair construction information in real time, including power emergency repair process and forecast;

[0030] According to the power emergency repair construction information, the corresponding scenario simulation model is matched and the corresponding cloud space is enabled;

[0031] The predicted duration corresponding to the scenario simulation model in the cloud space.

[0032] The present invention also provides a power emergency repair construction operation duration analysis system, comprising:

[0033] An acquisition module is used to acquire power emergency repair work information, and divide the power emergency repair work information into processes to obtain a power emergency repair process chain;

[0034] A construction module is connected to the acquisition module and is used to perform emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulate multiple prediction situations corresponding to the emergency repair simulation model, and perform branch simulation on the emergency repair simulation model based on the prediction situation to obtain multiple scenario simulation models;

[0035] A setting module, connected to the construction module, is used to set simulation nodes corresponding to the scenario simulation model, and to obtain the corresponding working hours of multiple scenario simulation models based on time assignment of the simulation nodes;

[0036] The prediction module is connected to the setting module and is used to collect actual power emergency repair construction information in real time and match the corresponding scenario simulation model, and predict the predicted duration of the actual power emergency repair construction information according to the simulation node.

[0037] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0038] The present invention interconnects the ports of multiple scenario simulation models based on the communication connection of multiple scenario simulation model cloud spaces, obtains branch simulations of multiple scenario simulation models and emergency repair simulation models, and finally can realize the connection between the ports of the scenario simulation models in the cloud space according to the communication connection between the cloud spaces. The port connection here is the connection between the ports on different scenario simulation models, which can better correspond to the actual situation and quickly configure the subsequent prediction and analysis of the power emergency repair time, so as to obtain more accurate power emergency repair time, and the efficiency of analyzing and predicting the power emergency repair time is higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0040] Figure 1 The figure is a flow chart of the method of the present invention.

[0041] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Example 1, please refer to Figure 1 As shown, the method for analyzing the duration of power emergency repair work in this embodiment includes the following steps:

[0044] S1. Obtaining power emergency repair work information, dividing the power emergency repair work information into processes to obtain a power emergency repair process chain;

[0045] S2. Perform emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulate multiple prediction situations corresponding to the emergency repair simulation model, and perform branch simulation on the emergency repair simulation model based on the prediction situations to obtain multiple scenario simulation models;

[0046] S3, setting simulation nodes corresponding to the scenario simulation models, and performing time assignment based on the simulation nodes to obtain the corresponding working hours of multiple scenario simulation models;

[0047] S4. Real-time collection of actual power emergency repair construction information and matching with the corresponding scenario simulation model, and prediction of the actual power emergency repair construction information duration according to the simulation node;

[0048] As described in the above steps S1-S4, power emergency repair construction is an important guarantee for the safe and stable operation of the power system. When a power system fails, if emergency repairs cannot be carried out in time, it may lead to a wider range of power outages, increased equipment damage, and even more serious safety accidents. Therefore, emergency repairs are required for power failures. When a power system fails or a power outage occurs, users report the problem to the power company by phone or online platform. The emergency repair department or customer service personnel of the power company receives and records fault information, including fault location, user information, fault type, etc. It is difficult to predict problems that may arise at any time during task allocation and emergency repair operations, and it is difficult to accurately analyze and predict the duration of emergency repairs. In this application, based on the communication connection of multiple scenario simulation model cloud spaces, multiple scenario simulation models are interconnected by ports to obtain branch simulations of multiple scenario simulation models and emergency repair simulation models. Finally, the ports of the scenario simulation models in the cloud space can be connected according to the communication connection between the cloud spaces. The port connection here is the connection between the ports on different scenario simulation models, which can better correspond to the actual situation for rapid configuration and subsequent prediction and analysis of the duration of power emergency repairs, so as to obtain a more accurate duration of power emergency repairs, and the efficiency of analyzing and predicting the duration of power emergency repairs is higher.

[0049] In one embodiment, the step S1 of dividing the power emergency repair work information into processes to obtain a power emergency repair process chain includes:

[0050] S11, obtaining power emergency repair fault information, wherein the power emergency repair fault information includes the power emergency repair fault cause and the corresponding fault location, and matching the corresponding power emergency repair fault information with corresponding repair personnel information;

[0051] S12, using the emergency repair personnel information and the corresponding power emergency repair fault information as power emergency repair work information;

[0052] S13, sorting the processes of collecting power emergency repair fault information to obtain an emergency repair process, and dividing the emergency repair process according to the process to obtain an power emergency repair process chain;

[0053] As described in the above steps S11-S13, when a fault occurs in power equipment or power lines, it is necessary to determine the cause of the fault and the corresponding fault location as power emergency repair fault information. After obtaining the power emergency repair fault information, the corresponding emergency repair personnel information is matched, wherein the emergency repair personnel information includes basic personnel information, personnel emergency repair skill type, personnel contact information and other information, and the basic personnel information is social information such as personnel name. The corresponding power emergency repair information is assigned to the emergency repair personnel corresponding to the emergency repair personnel information, and then the task allocation is completed. After determining the assignment of tasks, the operation time of power emergency repair is analyzed and predicted. When analyzing the power emergency repair market, it is necessary to clarify the emergency repair process corresponding to the power emergency repair fault information, sort the process to obtain the emergency repair process, and then divide the emergency repair process according to the process to obtain the power emergency repair process chain, which can straighten out the emergency repair process, facilitate the analysis and prediction of the power emergency repair time, and realize the advance notification of the emergency repair time and the controllability of the emergency repair time;

[0054] In one embodiment, the step S2 of performing emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulating multiple prediction situations corresponding to the emergency repair simulation model, and performing branch simulation on the emergency repair simulation model based on the prediction situations to obtain multiple scenario simulation models includes:

[0055] S21, constructing a repair simulation model based on the power repair process chain;

[0056] S22, configuring a plurality of prediction situations corresponding to the process in the emergency repair simulation model, wherein the prediction situation includes emergency repair problems that may be encountered in the corresponding process and emergency repair measures corresponding to the emergency repair problems;

[0057] S23, duplicating the emergency repair simulation model to obtain multiple sub-emergency repair simulation models, and selecting the sub-emergency repair simulation models one-to-one according to the predicted situation to construct multiple scenario simulation models;

[0058] S24, classifying multiple scenario simulation models according to the process and corresponding them to the emergency repair simulation model for branch simulation;

[0059] As described in the above steps S21-S24, a repair simulation model is obtained based on the power repair process chain through simulation construction. The construction operation process is: formally define the power repair process chain using Business Process Modeling and Notation (BPMN) or Business Process Execution Language (BPEL); each link from task allocation, on-site repair to repair verification is clearly modeled as a series of interrelated tasks and activities; this model is a process model constructed by the power repair process chain according to the repair process, which is used to record the repair process. In each process, due to uncertain issues, there may be certain problems that affect the normal progress of the repair process, so it is necessary to The process should be matched with multiple prediction situations, which include the emergency repair problems that may be encountered in the corresponding process and the emergency repair measures corresponding to the emergency repair problems. It can make a comprehensive summary and information coverage of the emergency repair process, and then copy the emergency repair simulation model to obtain multiple sub-emergency repair simulation models. The original emergency repair simulation model is retained, and the prediction situation is matched one-to-one with the sub-emergency repair simulation model. Then, the prediction situation is built in the sub-emergency repair simulation model to obtain multiple scenario simulation models. Since there may be multiple prediction situations in a process, multiple scenario simulation models are classified according to the process and corresponded to the emergency repair simulation model for branch simulation. Here The representative classifies and divides the scenario simulation model by process, and can obtain the classified scenario simulation models under multiple processes. Then, the classified scenario simulation models are combined in the retained emergency repair simulation model for branch simulation, which can quickly cover the comprehensive situation in the power emergency repair process. In the subsequent actual power emergency repair work, the corresponding scenario simulation model can be quickly obtained, which will facilitate the analysis and prediction of the duration of power emergency repair, and can realize a predictive reminder of the power emergency repair work time, which is convenient for the development of other related work of power emergency repair. For example, after the power emergency repair in the enterprise, the use of electricity can be turned on, which can help the enterprise coordinate Improve the distribution of work and reduce the impact of power emergency repair work on the work arrangement of the enterprise. Based on the communication connection of multiple scenario simulation model cloud spaces, multiple scenario simulation models are interconnected to obtain branch simulations of multiple scenario simulation models and emergency repair simulation models. Finally, the ports of the scenario simulation models in the cloud space can be connected according to the communication connection between the cloud spaces. The port connection here is the connection between the ports on different scenario simulation models, which can better correspond to the actual situation and quickly configure the subsequent prediction and analysis of the power emergency repair time, so as to obtain a more accurate power emergency repair time, and the efficiency of analyzing and predicting the power emergency repair time is higher.

[0060] In one embodiment, the step S24 of classifying the multiple scenario simulation models according to the process and corresponding them to the emergency repair simulation model for branch simulation includes:

[0061] S241. Mark multiple branch points in the emergency repair simulation model, and configure corresponding cloud spaces corresponding to the multiple branch points;

[0062] S242, obtaining the difference points of the multiple scenario simulation models and the emergency repair simulation model, if the difference points coincide with the branch points, taking the coincident branch points as the combination points, if the difference points do not coincide with the branch points, taking the previous branch point of the non-coincident branch points as the combination points;

[0063] S243, combining multiple scenario simulation models with the emergency repair simulation model according to the combination points to perform branch simulation;

[0064] As described in the above steps S241-S243, multiple branch points are marked in the emergency repair simulation model. The branch points here are randomly marked, and there are multiple branch points in each process. One branch point corresponds to a cloud space, which is used to carry the corresponding divergent scenario simulation model. The divergent scenario simulation model here represents the direction of the scenario simulation model after the difference point. The scenario simulation model and the emergency repair simulation model between the difference points are overlapped. In order to combine multiple scenario simulation models with the emergency repair simulation model, it is necessary to determine the combination point to be branched and obtain the difference points between multiple scenario simulation models and the emergency repair simulation model. The difference here The point is the starting position of the predicted situation in the emergency repair simulation model. If the distinguishing point coincides with the branch point, the coincident branch point is used as the combination point. If the distinguishing point does not coincide with the branch point, the previous branch point of the non-coincident branch point is used as the combination point. The previous branch point here represents the previous branch point of the non-coincident branch point in the process sequence of the scenario simulation model as the combination point. Then, multiple scenario simulation models are combined with the emergency repair simulation model according to the combination point for branch simulation to obtain a multi-branch scenario simulation model, which can better integrate the emergency repair process into multiple scenarios, has better data integration and duration analysis and prediction functions, and can quickly and dynamically predict the emergency repair time.

[0065] In one embodiment, step S243 of combining multiple scenario simulation models with the emergency repair simulation model according to the combination point to perform branch simulation includes:

[0066] S2431, overlapping the partial models before the combination point of the multiple scenario simulation models with the corresponding emergency repair simulation models respectively, branching the partial models after the combination point of the multiple scenario simulation models with the emergency repair simulation model and storing them in the cloud space corresponding to the combination point;

[0067] S2432. Ports are set in multiple scenario simulation models according to the process, cloud spaces of multiple scenario simulation models are connected for communication, and ports of multiple scenario simulation models are interconnected based on the communication connection of cloud spaces of multiple scenario simulation models to obtain branch simulations of multiple scenario simulation models and emergency repair simulation models;

[0068] As described in the above steps S2431 and S2432, multiple scenario simulation models are combined here, and the method here is branch combination and overlap. The specific operations are: overlap the partial models before the combination point of multiple scenario simulation models with the corresponding emergency repair simulation models, and branch the partial models after the combination point of multiple scenario simulation models with the emergency repair simulation model and store them in the cloud space corresponding to the combination point. Since the branch points each correspond to a cloud space, they can be used to store the scenario simulation models branched at the combination point. The cloud space serves as a simulation storage space, and the method of configuring the cloud space corresponding to the branch point is: design a cloud architecture. This architecture should be able to support the configuration of an independent cloud space for each point for the planning and configuration of computing resources, and allocate one or more virtual machine instances, containers or function computing resources to each point. This is used for the calculation of branch scenario simulation models and subsequent market analysis and forecasting, and to complete the storage and management of data. Since the forecast situation is not necessarily a single one in actual use, a scenario simulation model represents a forecast situation. In order to better serve the actual situation, ports are set in multiple scenario simulation models according to the process. The port setting method is: select the corresponding point in the scenario simulation model of the cloud space according to the process, configure a unique digital identifier for the corresponding point, set the IP address configuration, subnet mask setting, gateway configuration, DNS configuration, etc. These configurations are usually closely related to the configuration of ports, and together they form the basis of network communication. The selected point can be used as a port to connect the cloud spaces of multiple scenario simulation models. Based on the communication connection of the cloud spaces of multiple scenario simulation models, the ports of multiple scenario simulation models can be interconnected to obtain branch simulations of multiple scenario simulation models and emergency repair simulation models. Finally, the ports of the scenario simulation models in the cloud space can be connected according to the communication connection between the cloud spaces. The port connection here refers to the connection between the ports on different scenario simulation models. For example, there are three processes A, B and C in the emergency repair simulation model, and there are multiple scenario simulation models corresponding to the three processes. If in actual operation, both processes A and B have predicted situations, then when the scenario simulation model with predicted situations in process A is used, the scenario simulation model with predicted situations in process B can be connected together through the cloud space, which is equivalent to the combination of two scenario simulation models, and can better correspond to the actual situation for rapid configuration to perform subsequent prediction and analysis of the duration of power emergency repair, and obtain more accurate power emergency repair duration, and the efficiency of analyzing and predicting the duration of power emergency repair is higher.

[0069] In one embodiment, the step S3 of setting simulation nodes for the corresponding scenario simulation models and performing time assignment based on the simulation nodes to obtain the working hours corresponding to the multiple scenario simulation models respectively includes:

[0070] S31, setting a simulation node corresponding to the process starting point in the scenario simulation model;

[0071] S32, preset the working time of the corresponding process for the corresponding simulation node;

[0072] S33, obtaining the working time of each scenario simulation model based on the working time of multiple processes in the multiple scenario simulation models;

[0073] As described in the above steps S31-S33, a simulation node is set at the starting point of the process in the corresponding scenario simulation model. The simulation node here serves as a time mark point, and the process starting point here serves as an operation point at which a process starts. Then, the corresponding simulation node presets the working time of the corresponding process. The preset standard here is that through a large amount of historical data, a large amount of statistics on the working time of the same process historical data can be performed to preset the working time of the current process. The working time of each scenario simulation model is obtained based on the working time of multiple processes in multiple scenario simulation models, and the working time of each of the multiple scenario simulation models after combination can be obtained;

[0074] In one embodiment, the step S4 of collecting actual power emergency repair construction information in real time and matching the corresponding scenario simulation model, and predicting the predicted duration of the actual power emergency repair construction information according to the simulation node, includes:

[0075] S41, collecting actual power emergency repair construction information in real time, wherein the power emergency repair construction information includes the power emergency repair process and forecast situation;

[0076] S42, matching the corresponding scenario simulation model according to the power repair construction information and activating the corresponding cloud space;

[0077] S43, predicting the duration corresponding to the scenario simulation model in the cloud space;

[0078] As described in the above steps S41-S43, the power emergency repair process and the predicted situation are collected as the power emergency repair construction information. Then, according to the power emergency repair construction information, the corresponding scenario simulation model can be matched and the corresponding cloud space can be enabled. According to the predicted duration corresponding to the scenario simulation model in the cloud space, it can be quickly enabled to obtain the preset working duration of the emergency repair. Then, after solving the predicted situation, the next process is entered. If the next process also has a predicted situation, the scenario simulation model corresponding to the preset situation is obtained. The scenario simulation model here is a branch model in the cloud space combined with the emergency repair simulation model. Then, the port will be connected through the communication in the cloud space to match the preset situation corresponding to the next process. In this way, the working time is integrated in combination with the previous scenario simulation model, and the above method is adopted until the overall power emergency repair work is completed.

[0079] Example 2, please refer to Figure 2 As shown, the power emergency repair construction operation duration analysis system described in this embodiment includes:

[0080] An acquisition module is used to acquire power emergency repair work information, and divide the power emergency repair work information into processes to obtain a power emergency repair process chain;

[0081] A construction module is connected to the acquisition module and is used to perform emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulate multiple prediction situations corresponding to the emergency repair simulation model, and perform branch simulation on the emergency repair simulation model based on the prediction situation to obtain multiple scenario simulation models;

[0082] A setting module, connected to the construction module, is used to set simulation nodes corresponding to the scenario simulation model, and to obtain the corresponding working hours of multiple scenario simulation models based on time assignment of the simulation nodes;

[0083] The prediction module is connected to the setting module and is used to collect the actual power emergency repair construction information in real time and match the corresponding scenario simulation model, and predict the predicted duration of the actual power emergency repair construction information according to the simulation node;

[0084] It should be noted that, through the communication connection of multiple scenario simulation model cloud spaces, the ports of multiple scenario simulation models are interconnected to obtain branch simulations of multiple scenario simulation models and emergency repair simulation models. Finally, the ports of the scenario simulation models in the cloud space can be connected according to the communication connection between the cloud spaces. The port connection here is the connection between the ports on different scenario simulation models, which can better correspond to the actual situation for rapid configuration and subsequent prediction and analysis of the power emergency repair time, so as to obtain more accurate power emergency repair time, and the efficiency of analyzing and predicting the power emergency repair time is higher.

[0085] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for analyzing the duration of power repair work, characterized in that: The following steps are involved: Acquire power emergency repair work information, divide the power emergency repair work information into processes to obtain a power emergency repair process chain; Perform emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulate multiple prediction situations corresponding to the emergency repair simulation model, and perform branch simulation on the emergency repair simulation model based on the prediction situation to obtain multiple scenario simulation models; Simulation nodes are set corresponding to the scenario simulation models, and time assignment is performed based on the simulation nodes to obtain the corresponding working hours of multiple scenario simulation models; The actual power emergency repair construction information is collected in real time and matched with the corresponding scenario simulation model, and the predicted duration of the actual power emergency repair construction information is predicted according to the simulation nodes.

2. The method for analyzing the duration of power repair work according to claim 1 is characterized in that: The step of dividing the power emergency repair work information into processes to obtain a power emergency repair process chain includes: Obtaining power emergency repair fault information, wherein the power emergency repair fault information includes the power emergency repair fault cause and the corresponding fault location, and matching the corresponding power emergency repair fault information with corresponding repair personnel information; The emergency repair personnel information and the corresponding power emergency repair fault information are used as power emergency repair work information; The process of collecting power emergency repair fault information is sorted to obtain the emergency repair process, and the emergency repair process is divided according to the process to obtain the power emergency repair process chain.

3. The method for analyzing the duration of power emergency repair work according to claim 1, characterized in that: The steps of performing emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulating multiple prediction situations corresponding to the emergency repair simulation model, and performing branch simulation on the emergency repair simulation model based on the prediction situations to obtain multiple scenario simulation models include: The emergency repair simulation model is constructed based on the power emergency repair process chain; A plurality of prediction situations corresponding to the process configuration in the emergency repair simulation model, wherein the prediction situation includes emergency repair problems that may be encountered in the corresponding process and emergency repair measures corresponding to the emergency repair problems; The emergency repair simulation model is copied to obtain multiple sub-emergency repair simulation models, and the sub-emergency repair simulation models are selected one-to-one according to the prediction situation to construct multiple scenario simulation models; According to the process, multiple scenario simulation models are classified and mapped to the emergency repair simulation model for branch simulation.

4. The method for analyzing the duration of power emergency repair work according to claim 3 is characterized in that: The step of classifying multiple scenario simulation models according to the process and corresponding them to the emergency repair simulation model for branch simulation includes: Mark multiple branch points in the emergency repair simulation model, and configure corresponding cloud spaces for the multiple branch points; Obtain the difference points of multiple scenario simulation models and emergency repair simulation models. If the difference points coincide with the branch points, the coincident branch points are used as combination points. If the difference points do not coincide with the branch points, the previous branch point of the non-coincident branch points is used as the combination point. Multiple scenario simulation models are combined with emergency repair simulation models according to combination points to perform branch simulation.

5. The method for analyzing the duration of power emergency repair work according to claim 4 is characterized in that: The steps of combining multiple scenario simulation models with the emergency repair simulation model according to the combination points to perform branch simulation include: Overlapping the partial models before the combination point of the multiple scenario simulation models with the corresponding emergency repair simulation models respectively, branching the partial models after the combination point of the multiple scenario simulation models with the emergency repair simulation model and storing them in the cloud space corresponding to the combination point; According to the process, ports are set in multiple scenario simulation models, the cloud spaces of the multiple scenario simulation models are connected for communication, and based on the communication connection of the cloud spaces of the multiple scenario simulation models, the ports of the multiple scenario simulation models are interconnected to obtain branch simulations of the multiple scenario simulation models and the emergency repair simulation model.

6. The method for analyzing the duration of power emergency repair work according to claim 1, characterized in that: The steps of setting simulation nodes for the corresponding scenario simulation models and performing time assignment based on the simulation nodes to obtain the working hours corresponding to the multiple scenario simulation models respectively include: Set simulation nodes corresponding to the process starting points in the scenario simulation model; The corresponding simulation node presets the working time of the corresponding process; The working time of each scenario simulation model is obtained based on the working time of multiple processes in the multiple scenario simulation models.

7. The method for analyzing the duration of power emergency repair work according to claim 1, characterized in that: The step of collecting actual power emergency repair construction information in real time and matching the corresponding scenario simulation model, and predicting the predicted duration of the actual power emergency repair construction information according to the simulation node, includes: Collect actual power emergency repair construction information in real time, including power emergency repair process and forecast; According to the power emergency repair construction information, the corresponding scenario simulation model is matched and the corresponding cloud space is enabled; The predicted duration corresponding to the scenario simulation model in the cloud space.

8. A power emergency repair construction operation duration analysis system, used to implement the power emergency repair construction operation duration analysis method according to any one of claims 1 to 7, characterized in that: include: An acquisition module is used to acquire power emergency repair work information, and divide the power emergency repair work information into processes to obtain a power emergency repair process chain; A construction module is connected to the acquisition module and is used to perform emergency repair simulation based on the power emergency repair process chain to obtain an emergency repair simulation model, formulate multiple prediction situations corresponding to the emergency repair simulation model, and perform branch simulation on the emergency repair simulation model based on the prediction situation to obtain multiple scenario simulation models; A setting module, connected to the construction module, is used to set simulation nodes corresponding to the scenario simulation model, and to obtain the corresponding working hours of multiple scenario simulation models based on time assignment of the simulation nodes; The prediction module is connected to the setting module and is used to collect actual power emergency repair construction information in real time and match the corresponding scenario simulation model, and predict the predicted duration of the actual power emergency repair construction information according to the simulation node.

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