Electric power service perception operation analysis method and system

Abstract

The invention discloses an electric power service perception operation analysis method and system, and relates to the technical field of electric power services, and the method comprises the steps: carrying out the two-dimensional plane modeling of a city; determining a service capability radiation model of the power service station; dividing a city according to regions in the two-dimensional plane modeling; collecting all reported to-be-processed electric power service tasks in real time, and recording the tasks as real-time to-be-processed tasks; dividing task levels for all the real-time to-be-processed tasks; determining the task level of each real-time to-be-processed task and the task position of each real-time to-be-processed task; determining a power service station corresponding to each real-time to-be-processed task; and task processing personnel are allocated to process all real-time to-be-processed tasks. The method has the advantages that the service capability of the intelligent power grid is maximized, and each task is efficiently processed in the actual operation of the intelligent power grid system, so that the efficient and stable operation of the intelligent power grid system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power services, and in particular to an electric power service perception operation analysis method and system. Background Art

[0002] The smart grid is built on an integrated, high-speed two-way communication network. Through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control methods and advanced decision support system technology, it achieves the goals of reliable, safe, economical, efficient, environmentally friendly and safe use of the power grid. Its main features include self-healing, incentivizing and protecting users, resisting attacks, and providing power services that meet user needs.

[0003] In the existing technology, there is usually a lack of effective analysis and planning for the power service tasks perceived during the operation of the power grid, and the processing efficiency of the power service tasks is low, making it difficult to ensure the efficient and stable operation of the smart grid and to provide users with efficient and stable power services. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, a power service perception operation analysis method and system are provided. This technical solution solves the above-mentioned problems that there is usually a lack of effective analysis and planning for the power service tasks perceived during the operation of the power grid, the processing efficiency of the power service tasks is low, it is difficult to ensure the efficient and stable operation of the smart grid, and it is difficult to provide users with efficient and stable power services.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for analyzing power service perception operation, comprising:

[0007] Model the city in two dimensions;

[0008] Acquire data of power service stations in the city, and determine a service capacity radiation model of the power service stations based on the data of power service stations in the city;

[0009] Based on the service capacity radiation model of the power service station, the city is divided into regions in the two-dimensional plane modeling, and each divided region forms a partition map, and all the partition maps are assembled to form a global map;

[0010] All pending power service tasks reported in real time are collected and recorded as real-time pending tasks;

[0011] Based on all power service tasks in historical power services, all real-time pending tasks are classified into task levels;

[0012] Determine the task level of each real-time task to be processed and the task position of each real-time task to be processed;

[0013] Based on the task location of the real-time pending tasks, determine the power service station corresponding to each real-time pending task;

[0014] The power service station deploys task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

[0015] Preferably, the acquiring of data of power service stations in the city and determining the service capacity radiation model of the power service stations based on the data of power service stations in the city specifically includes:

[0016] Determine the size of each electric service station;

[0017] Based on the scale of each power service station, the service capacity benchmark value of each power service station is calculated through a standardized formula;

[0018] Based on the service capacity benchmark value of each power service station, a service capacity radiation model corresponding to each power service station is constructed;

[0019] The service capability radiation model is specifically as follows:

[0020] F i (c) = α i ×exp(-c);

[0021] In the formula, F i (c) is the service capacity of the ith power service station to the location c away from it, α i is the service capacity benchmark value of the ith power service station, and c is the distance from the power service station.

[0022] Preferably, the standardized formula is specifically:

[0023]

[0024] In the formula, g i is the quantitative index of the scale of the i-th power service station, and n is the total number of power service stations.

[0025] Preferably, the service capacity radiation model based on the power service station divides the city into regions in the two-dimensional plane modeling, specifically including:

[0026] Based on the service capacity radiation model, the service capacity of all power service stations at each location;

[0027] Screen out the power service station with the greatest service capacity, record the power service station as the best service station at the location, and record the area as the allocation area of ​​the power service station;

[0028] All distribution areas of each power service station are divided into partitions corresponding to the power service station.

[0029] Preferably, the step of classifying all real-time tasks to be processed based on all power service tasks in historical power services specifically includes:

[0030] Generate an event keyword library based on historical power service task records;

[0031] Based on the criticality of each historical power service task, each keyword in the keyword library is assigned an important score:

[0032] Extract keywords from real-time tasks to be processed, and obtain keywords of several real-time tasks to be processed;

[0033] Based on the importance scores of all real-time pending task keywords, the importance scores of the real-time pending task keywords are calculated using the importance calculation formula;

[0034] Based on the importance scores of the keywords of the real-time pending tasks, the real-time pending tasks are divided into corresponding task levels;

[0035] The importance calculation formula is:

[0036]

[0037] K is the importance score of the real-time task to be processed, m is the number of keywords of the real-time task to be processed, and k j is the importance score corresponding to the jth real-time task keyword to be processed.

[0038] Preferably, the power service station deploys task processing personnel to process all real-time tasks to be processed based on the task levels of all real-time tasks to be processed in its corresponding partition, specifically including:

[0039] Get the task levels of all real-time pending tasks in the partition area;

[0040] Based on the location of each task execution terminal and the real-time task location of each real-time task to be processed, determining the distance from each task processing personnel to the real-time task location to be processed;

[0041] The rationality calculation formula is used to calculate the rationality index of each real-time pending task handled by the task processor;

[0042] Get the number of people required to process each real-time task to be processed;

[0043] Based on the rationality index of each task processor in processing each real-time pending task, intelligently allocate the real-time pending tasks processed by each task processor;

[0044] The rationality calculation formula is specifically:

[0045]

[0046] In the formula, H al K is the rationality index of the ath task processor executing the lth real-time pending task, l Score the importance of the lth real-time task to be processed, S al is the distance from the ath task processor to the location of the lth real-time task to be processed, S lmax is the maximum distance of all task processing personnel to the location of the lth real-time task to be processed, S lmin is the minimum value of the distances from all task processors to the location of the lth real-time task to be processed, and L is the total number of real-time tasks to be processed.

[0047] Preferably, the intelligent allocation of the real-time pending tasks processed by each task processing personnel based on the rationality index of the task processing personnel in processing each real-time pending task specifically includes:

[0048] Obtain all real-time pending tasks with the highest task level among the real-time pending tasks and record them as priority tasks;

[0049] Construct task planning constraints based on the number of people required to process each priority task;

[0050] Generate several mission planning solutions based on mission planning constraints;

[0051] Build a solution evaluation model, select the task planning solution that maximizes the output of the solution evaluation model, obtain the optimal task planning solution, and allocate the real-time pending tasks to be processed by each task processor based on the optimal task planning solution;

[0052] The task planning constraints are specifically as follows:

[0053] N l ≤N l ';

[0054] Where N l is the number of task processors assigned to the lth priority task, N l 'The number of people required to process the first priority task;

[0055] The scheme evaluation model is specifically as follows:

[0056]

[0057] Where P is the output value of the solution evaluation model, L0 is the total number of priority processing tasks, and H al 'It is the rationality indicator for the ath task handler to perform the lth priority task.

[0058] Furthermore, a power service perception operation analysis system is proposed, which is used to implement the power service perception operation analysis method as described above, including:

[0059] A visualization module, wherein the visualization module is used to perform two-dimensional plane modeling of the city;

[0060] A partitioning module, the partitioning module is used to obtain the data of power service stations in the city, determine the service capacity radiation model of the power service stations based on the data of the power service stations in the city, and divide the city into regions in two-dimensional plane modeling based on the service capacity radiation model of the power service stations, each divided region forms a partition map, and all the partition maps are assembled to form a global map;

[0061] A service collection module, which is used to collect all reported pending power service tasks in real time and record them as real-time pending tasks;

[0062] A task analysis module, the task analysis module is electrically connected to the service acquisition module, and the task analysis module is used to classify all real-time tasks to be processed based on all power service tasks in historical power services;

[0063] A service planning module is electrically connected to the partitioning module and the task analysis module. The service planning module is used to determine the task level of each real-time pending task and the task location of each real-time pending task, and based on the task location of the real-time pending task, determine the power service station corresponding to each real-time pending task. The power service station dispatches task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

[0064] Optionally, the partitioning module includes:

[0065] A standardization unit, the standardization unit is used to determine the scale of each power service station, and based on the scale of each power service station, calculate the service capacity benchmark value of each power service station through a standardized formula;

[0066] A radiation model unit, the radiation model unit is used to construct a service capacity radiation model corresponding to each power service station one by one based on the service capacity benchmark value of each power service station;

[0067] A calculation unit, the calculation unit is used for calculating the service capacity of all power service stations at each location based on the service capacity radiation model;

[0068] A screening unit is used to screen out the power service station with the largest service capacity, record the power service station as the best service station at the location, record the area as the allocation area of ​​the power service station, and divide all the allocation areas of each power service station into partitions corresponding to the power service station.

[0069] Optionally, the service planning module includes:

[0070] A task division unit, the task division unit is used to determine the task level of each real-time task to be processed and the task location of each real-time task to be processed, and determine the power service station corresponding to each real-time task to be processed based on the task location of the real-time task to be processed;

[0071] An intelligent allocation unit is used to allocate task processing personnel to process all real-time tasks to be processed based on the task levels of all real-time tasks to be processed in its corresponding partition.

[0072] Compared with the prior art, the present invention has the following beneficial effects:

[0073] The present invention aims to plan the service area of ​​the power service station through intelligent analysis to maximize the service capacity of the smart grid. At the same time, the power service tasks during the operation of the smart grid system are intelligently analyzed and divided into different levels according to the impact of the tasks on the system operation. Subsequently, the processing personnel of all power service tasks are reasonably deployed. In this way, a reasonable power service task processing plan can be formulated based on the collected power service tasks and the status of the task processing personnel, ensuring that various tasks are efficiently processed in the actual operation of the smart grid system, thereby ensuring the efficient and stable operation of the smart grid system. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 Flowchart of the power service perception operation analysis method proposed for this scheme;

[0075] Figure 2 A flow chart of a method for determining a service capacity radiation model of an electric service station in this solution;

[0076] Figure 3 This is a flow chart of the method for dividing cities into regions in this plan;

[0077] Figure 4 A flow chart of the method for classifying all real-time tasks to be processed in this solution;

[0078] Figure 5 A flow chart of the method for allocating task processing personnel in this solution to handle all real-time pending tasks;

[0079] Figure 6 A flow chart of a method for intelligently allocating real-time pending tasks to be processed by each task processor in this solution;

[0080] Figure 7 This is the structural block diagram of the power service perception operation analysis system proposed for this solution. DETAILED DESCRIPTION

[0081] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0082] Reference Figure 1 As shown, a method for analyzing power service perception operation includes:

[0083] Model the city in two dimensions;

[0084] Acquire data of power service stations in the city, and determine a service capacity radiation model of the power service stations based on the data of power service stations in the city;

[0085] Based on the service capacity radiation model of the power service station, the city is divided into regions in the two-dimensional plane modeling, and each divided region forms a partition map, and all the partition maps are assembled to form a global map;

[0086] All pending power service tasks reported in real time are collected and recorded as real-time pending tasks;

[0087] Based on all power service tasks in historical power services, all real-time pending tasks are classified into task levels;

[0088] Determine the task level of each real-time task to be processed and the task position of each real-time task to be processed;

[0089] Based on the task location of the real-time pending tasks, determine the power service station corresponding to each real-time pending task;

[0090] The power service station deploys task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

[0091] This solution plans the service area of ​​the power service station through intelligent analysis to maximize the service capacity of the smart grid. At the same time, it conducts intelligent analysis on the power service tasks during the operation of the smart grid system and divides them into different levels according to their impact on the system operation. This enables the reasonable deployment of personnel for all power service tasks.

[0092] Reference Figure 2 As shown, obtaining the data of power service stations in the city, and determining the service capacity radiation model of the power service stations based on the data of power service stations in the city specifically includes:

[0093] Determine the size of each electric service station;

[0094] Based on the scale of each power service station, the service capacity benchmark value of each power service station is calculated through a standardized formula;

[0095] Based on the service capacity benchmark value of each power service station, a service capacity radiation model corresponding to each power service station is constructed;

[0096] The service capability radiation model is as follows:

[0097] F i (c) = α i ×exp(-c);

[0098] In the formula, F i (c) is the service capacity of the ith power service station to the location c away from it, α i is the service capacity benchmark value of the ith power service station, and c is the distance from the power service station.

[0099] The specific standardization formula is:

[0100]

[0101] In the formula, g i is the quantitative index of the scale of the i-th power service station, and n is the total number of power service stations.

[0102] Reference Figure 3 As shown in the figure, the service capacity radiation model based on the power service station divides the city into regions in the two-dimensional plane modeling, including:

[0103] Based on the service capacity radiation model, the service capacity of all power service stations at each location;

[0104] Screen out the power service station with the greatest service capacity, record the power service station as the best service station at the location, and record the area as the allocation area of ​​the power service station;

[0105] All distribution areas of each power service station are divided into partitions corresponding to the power service station.

[0106] In this scheme, the scale quantification index of each power service station is standardized, and the service capacity radiation model of the power service station is constructed according to the attenuation of the actual influence of the power service station. The power service station that maximizes the service in the current area is calculated as the best service site at that location. The service area of ​​the power service station is divided according to this standard, which can effectively ensure the maximization of the comprehensive service capacity of the power service station in the smart grid.

[0107] Reference Figure 4 As shown, based on all power service tasks in historical power services, all real-time tasks to be processed are divided into task levels, specifically including:

[0108] Generate an event keyword library based on historical power service task records;

[0109] Based on the criticality of each historical power service task, each keyword in the keyword library is assigned an important score:

[0110] Extract keywords from real-time tasks to be processed, and obtain keywords of several real-time tasks to be processed;

[0111] Based on the importance scores of all real-time pending task keywords, the importance scores of real-time pending task keywords are calculated using the importance calculation formula. The importance scores of keywords are derived based on power service experience.

[0112] Based on the importance scores of the keywords of the real-time pending tasks, the real-time pending tasks are divided into corresponding task levels;

[0113] The importance calculation formula is:

[0114]

[0115] K is the importance score of the real-time task to be processed, m is the number of keywords of the real-time task to be processed, and k j is the importance score corresponding to the jth real-time task keyword to be processed.

[0116] By calculating the importance of all existing real-time pending tasks and dividing the task levels according to the importance, in some embodiments, the task levels of the real-time pending tasks are divided according to a gradient of 25%, that is, in order of importance from large to small, the real-time pending tasks ranked in the top 25% are regarded as the first-level priority task level, the real-time pending tasks ranked between 25% and 50% are regarded as the second-level priority task level, the real-time pending tasks ranked between 50% and 75% are regarded as the third-level priority task level, and the real-time pending tasks ranked between 75% and 100% are regarded as the fourth-level priority task level;

[0117] It can be understood that the above division gradients are merely illustrative examples, and in some other embodiments, other task level division gradients may be set.

[0118] Reference Figure 5 As shown, the power service station dispatches task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition, specifically including:

[0119] Get the task levels of all real-time pending tasks in the partition area;

[0120] Based on the location of each task execution terminal and the real-time task location of each real-time task to be processed, determining the distance from each task processing personnel to the real-time task location to be processed;

[0121] The rationality calculation formula is used to calculate the rationality index of each real-time pending task handled by the task processor;

[0122] Get the number of people required to process each real-time task to be processed;

[0123] Based on the rationality index of each task processor in processing each real-time pending task, intelligently allocate the real-time pending tasks processed by each task processor;

[0124] The specific calculation formula for rationality is:

[0125]

[0126] In the formula, H al K is the rationality index of the ath task processor executing the lth real-time pending task, l Score the importance of the lth real-time task to be processed, S al is the distance from the ath task processor to the location of the lth real-time task to be processed, S lmax is the maximum distance of all task processing personnel to the location of the lth real-time task to be processed, S lmin is the minimum value of the distances from all task processors to the location of the lth real-time task to be processed, and L is the total number of real-time tasks to be processed.

[0127] There are two evaluation indicators for the rationality of the task handlers in handling each power service task: the priority of the power service task and the time it takes for the task handlers to reach the location of the power service task. Based on this, this scheme comprehensively considers the priority of the power service task and the location status of the task handlers to comprehensively calculate the rationality index of the task handlers when executing the real-time pending tasks. The larger the rationality index, the more reasonable the arrangement of the task handlers in executing the corresponding power service tasks.

[0128] Reference Figure 6 As shown, based on the rationality index of each task processor in processing each real-time pending task, intelligently allocating the real-time pending tasks processed by each task processor specifically includes:

[0129] Obtain all real-time pending tasks with the highest task level among the real-time pending tasks, and record them as priority processing tasks. It can be understood that all real-time pending tasks at the same task level have similar processing urgency. Based on this, in this scheme, when planning the task processing scheme, the real-time pending tasks of the same task level are uniformly scheduled;

[0130] Construct task planning constraints based on the number of people required to process each priority task;

[0131] Generate several mission planning solutions based on mission planning constraints;

[0132] Build a solution evaluation model, select the task planning solution that maximizes the output of the solution evaluation model, obtain the optimal task planning solution, and allocate the real-time pending tasks to be processed by each task processor based on the optimal task planning solution;

[0133] Among them, the task planning constraints are specifically as follows:

[0134] N l ≤N l ';

[0135] Where N l is the number of task processors assigned to the lth priority task, N l 'The number of people required to process the first priority task;

[0136] The specific scheme evaluation model is as follows:

[0137]

[0138] Where P is the output value of the solution evaluation model, L0 is the total number of priority processing tasks, and H al 'It is the rationality indicator for the ath task handler to perform the lth priority task.

[0139] By constructing task planning constraints, we limit the allocation of task processing personnel to each priority task to prevent personnel allocation from exceeding task requirements and causing waste of human resources. Then, by accumulating the rationality indicators of personnel allocation for each task planning scheme, we get the output value of the scheme evaluation model. The larger the output value, the more reasonable the corresponding task planning scheme.

[0140] Further, see Figure 7As shown, based on the same inventive concept as the above-mentioned power service perception operation analysis method, this solution also proposes a power service perception operation analysis system, including:

[0141] Visualization module, which is used to perform two-dimensional plane modeling of the city;

[0142] A partitioning module is used to obtain the data of power service stations in the city, determine the service capacity radiation model of the power service stations based on the data of the power service stations in the city, and divide the city into regions in two-dimensional plane modeling based on the service capacity radiation model of the power service stations. Each divided region forms a partition map, and all partition maps are assembled to form a global map;

[0143] The service collection module is used to collect all the pending power service tasks reported in real time and record them as real-time pending tasks;

[0144] A task analysis module, the task analysis module is electrically connected to the service collection module, and the task analysis module is used to classify all real-time tasks to be processed based on all power service tasks in historical power services;

[0145] The service planning module is electrically connected to the partition module and the task analysis module. The service planning module is used to determine the task level of each real-time pending task and the task location of each real-time pending task, and based on the task location of the real-time pending task, determine the power service station corresponding to each real-time pending task. The power service station dispatches task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

[0146] The partitioning module includes:

[0147] Standardized units, which are used to determine the scale of each power service station and calculate the service capacity benchmark value of each power service station through a standardized formula based on the scale of each power service station;

[0148] A radiation model unit, the radiation model unit is used to construct a service capacity radiation model corresponding to each power service station based on the service capacity benchmark value of each power service station;

[0149] A calculation unit, the calculation unit is used for calculating the service capacity of all power service stations at each location based on the service capacity radiation model;

[0150] A screening unit is used to screen out the power service station with the largest service capacity, record the power service station as the best service station at the location, record the area as the allocation area of ​​the power service station, and divide all the allocation areas of each power service station into partitions corresponding to the power service station.

[0151] The service planning module includes:

[0152] A task division unit, the task division unit is used to determine the task level of each real-time task to be processed and the task location of each real-time task to be processed, and based on the task location of the real-time task to be processed, determine the power service station corresponding to each real-time task to be processed;

[0153] The intelligent allocation unit is used to allocate task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

[0154] The usage process of the above-mentioned power service perception operation analysis system is as follows:

[0155] Step 1: The visualization module performs two-dimensional plane modeling of the city;

[0156] Step 2: The standardization unit determines the scale of each power service station, and based on the scale of each power service station, calculates the service capacity benchmark value of each power service station through a standardized formula;

[0157] Step 3: The radiation model unit constructs a service capacity radiation model corresponding to each power service station based on the service capacity benchmark value of each power service station;

[0158] Step 4: The calculation unit is based on the service capacity radiation model, and the service capacity of all power service stations at each location;

[0159] Step 5: The screening unit screens out the power service station with the largest service capacity, records the power service station as the best service station at the location, records the area as the allocation area of ​​the power service station, and divides all the allocation areas of each power service station into partitions corresponding to the power service station;

[0160] Step 6: The service collection module collects all the reported pending power service tasks in real time and records them as real-time pending tasks;

[0161] Step 7: The task analysis module classifies all real-time pending tasks based on all power service tasks in historical power services, specifically including: generating an event keyword library based on historical power service task records; assigning an important score to each keyword in the keyword library based on the criticality of each historical power service task; extracting keywords from real-time pending tasks to obtain a number of real-time pending task keywords; calculating the importance score of the real-time pending task keywords based on the importance scores of all real-time pending task keywords through an importance calculation formula; and classifying the real-time pending tasks into corresponding task levels based on the importance scores of the real-time pending task keywords;

[0162] Step 8: The task division unit determines the task level of each real-time task to be processed and the task location of each real-time task to be processed, and determines the power service station corresponding to each real-time task to be processed based on the task location of the real-time task to be processed;

[0163] Step 9: The intelligent allocation unit allocates task processing personnel to process all real-time tasks to be processed based on the task levels of all real-time tasks to be processed in its corresponding partition.

[0164] In summary, the advantages of the present invention are: maximizing the service capabilities of the smart grid, while ensuring efficient processing of various tasks in the actual operation of the smart grid system, thereby ensuring efficient and stable operation of the smart grid system.

[0165] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for analyzing power service perception operation, characterized in that: include: Model the city in two dimensions; Acquire data of power service stations in the city, and determine a service capacity radiation model of the power service stations based on the data of power service stations in the city; Based on the service capacity radiation model of the power service station, the city is divided into regions in the two-dimensional plane modeling, and each divided region forms a partition map, and all the partition maps are assembled to form a global map; All pending power service tasks reported in real time are collected and recorded as real-time pending tasks; Based on all power service tasks in historical power services, all real-time pending tasks are classified into task levels; Determine the task level of each real-time task to be processed and the task position of each real-time task to be processed; Based on the task location of the real-time pending tasks, determine the power service station corresponding to each real-time pending task; The power service station deploys task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

2. A method for analyzing power service perception operation according to claim 1, characterized in that: The obtaining of data of power service stations in the city and determining the service capacity radiation model of the power service stations based on the data of power service stations in the city specifically includes: Determine the size of each electric service station; Based on the scale of each power service station, the service capacity benchmark value of each power service station is calculated through a standardized formula; Based on the service capacity benchmark value of each power service station, a service capacity radiation model corresponding to each power service station is constructed; The service capability radiation model is specifically as follows: F i (c)=α i ×exp(-c); In the formula, F i (c) is the service capacity of the ith power service station to the location c away from it, α i is the service capacity benchmark value of the ith power service station, and c is the distance from the power service station.

3. A method for analyzing power service perception operation according to claim 2, characterized in that: The standardized formula is specifically: In the formula, g i is the quantitative index of the scale of the i-th power service station, and n is the total number of power service stations.

4. The method for analyzing power service perception operation according to claim 3 is characterized in that: The service capacity radiation model based on the power service station divides the city into regions in the two-dimensional plane modeling, specifically including: Based on the service capacity radiation model, the service capacity of all power service stations at each location; Screen out the power service station with the greatest service capacity, record the power service station as the best service station at the location, and record the area as the allocation area of ​​the power service station; All distribution areas of each power service station are divided into partitions corresponding to the power service station.

5. A method for analyzing power service perception operation according to claim 4, characterized in that: The task level classification of all real-time tasks to be processed based on all power service tasks in historical power services specifically includes: Generate an event keyword library based on historical power service task records; Based on the criticality of each historical power service task, each keyword in the keyword library is assigned an important score: Extract keywords from real-time tasks to be processed, and obtain keywords of several real-time tasks to be processed; Based on the importance scores of all real-time pending task keywords, the importance scores of the real-time pending task keywords are calculated using the importance calculation formula; Based on the importance scores of the keywords of the real-time pending tasks, the real-time pending tasks are divided into corresponding task levels; The importance calculation formula is: K is the importance score of the real-time task to be processed, m is the number of keywords of the real-time task to be processed, and k j is the importance score corresponding to the jth real-time task keyword to be processed.

6. A method for analyzing power service perception operation according to claim 5, characterized in that: The power service station allocates task processing personnel to process all real-time tasks to be processed based on the task levels of all real-time tasks to be processed in its corresponding partition, specifically including: Get the task levels of all real-time pending tasks in the partition area; Based on the location of each task execution terminal and the real-time task location of each real-time task to be processed, determining the distance from each task processing personnel to the real-time task location to be processed; The rationality calculation formula is used to calculate the rationality index of each real-time pending task handled by the task processor; Get the number of people required to process each real-time task to be processed; Based on the rationality index of each real-time pending task handled by the task processor, intelligently allocate the real-time pending tasks handled by each task processor; The rationality calculation formula is specifically: In the formula, H al is the rationality index of the ath task processor executing the lth real-time pending task, K l Score the importance of the lth real-time task to be processed, S al is the distance from the ath task processor to the location of the lth real-time task to be processed, S lmax is the maximum distance of all task processing personnel to the location of the lth real-time task to be processed, S lmin is the minimum value of the distances from all task processors to the location of the lth real-time task to be processed, and L is the total number of real-time tasks to be processed.

7. A method for analyzing power service perception operation according to claim 6, characterized in that: The intelligent allocation of the real-time pending tasks processed by each task processing personnel based on the rationality index of each real-time pending task processed by the task processing personnel specifically includes: Obtain all real-time pending tasks with the highest task level among the real-time pending tasks and record them as priority tasks; Construct task planning constraints based on the number of people required to process each priority task; Generate several mission planning solutions based on mission planning constraints; Build a solution evaluation model, select the task planning solution that maximizes the output of the solution evaluation model, obtain the optimal task planning solution, and allocate the real-time pending tasks to be processed by each task processor based on the optimal task planning solution; The task planning restriction conditions are specifically as follows: N l ≤N l ’; Where N l is the number of task processors assigned to the lth priority task, N l 'The number of people required to process the first priority task; The scheme evaluation model is specifically as follows: Where P is the output value of the solution evaluation model, L0 is the total number of priority processing tasks, and H al 'It is the rationality indicator for the ath task handler to perform the lth priority task.

8. A power service perception operation analysis system, characterized in that: The method for realizing the power service perception operation analysis method according to any one of claims 1 to 7 comprises: A visualization module, wherein the visualization module is used to perform two-dimensional plane modeling of the city; A partitioning module, the partitioning module is used to obtain the data of power service stations in the city, determine the service capacity radiation model of the power service stations based on the data of the power service stations in the city, and divide the city into regions in two-dimensional plane modeling based on the service capacity radiation model of the power service stations, each divided region forms a partition map, and all the partition maps are assembled to form a global map; A service collection module, which is used to collect all reported pending power service tasks in real time and record them as real-time pending tasks; A task analysis module, the task analysis module is electrically connected to the service acquisition module, and the task analysis module is used to classify all real-time tasks to be processed based on all power service tasks in historical power services; A service planning module is electrically connected to the partitioning module and the task analysis module. The service planning module is used to determine the task level of each real-time pending task and the task location of each real-time pending task, and based on the task location of the real-time pending task, determine the power service station corresponding to each real-time pending task. The power service station dispatches task processing personnel to process all real-time pending tasks based on the task levels of all real-time pending tasks in its corresponding partition.

9. The power service perception operation analysis system according to claim 8, characterized in that: The partition module comprises: A standardization unit, the standardization unit is used to determine the scale of each power service station, and based on the scale of each power service station, calculate the service capacity benchmark value of each power service station through a standardized formula; A radiation model unit, the radiation model unit is used to construct a service capacity radiation model corresponding to each power service station one by one based on the service capacity benchmark value of each power service station; A calculation unit, the calculation unit is used for calculating the service capacity of all power service stations at each location based on the service capacity radiation model; A screening unit is used to screen out the power service station with the largest service capacity, record the power service station as the best service station at the location, record the area as the allocation area of ​​the power service station, and divide all the allocation areas of each power service station into partitions corresponding to the power service station.

10. The power service perception operation analysis system according to claim 9, characterized in that: The service planning module includes: A task division unit, the task division unit is used to determine the task level of each real-time task to be processed and the task location of each real-time task to be processed, and determine the power service station corresponding to each real-time task to be processed based on the task location of the real-time task to be processed; The intelligent allocation unit is used to allocate task processing personnel to process all real-time tasks to be processed based on the task levels of all real-time tasks to be processed in its corresponding partition.

Images