A method for intelligent distribution management of meter box maintenance based on data analysis

Abstract

The present invention relates to the field of power maintenance, and specifically to an intelligent distribution management method for meter box maintenance based on data analysis, comprising the following steps: S1. fault degree analysis; S2. personnel skill matching; S3. distance analysis; S4. task balance analysis; S5. time window analysis; S6. historical performance analysis; S7. maintenance personnel recommendation. The present invention selects preferred faulty meter boxes according to the fault urgency of each faulty meter box, matches and selects the fault types to obtain various maintenance personnel, and obtains the recommendation degree of each preferred maintenance personnel according to the straight-line distance between each preferred maintenance personnel and the preferred faulty meter box, the workload of each preferred maintenance personnel, the time matching degree, and the maintenance quality evaluation coefficient analysis, and then selects the preferred maintenance personnel, so that the ability of the maintenance personnel is better matched with the fault type, the advantage of each maintenance personnel is fully utilized, and the accuracy and success rate of fault handling are improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power maintenance, and in particular to an intelligent distribution management method for meter box maintenance based on data analysis. Background Art

[0002] With the development of society and the advancement of science and technology, the importance of electricity in people's lives and production has become increasingly prominent. As an important equipment for power transmission and metering, the normal operation of the meter box is crucial to ensuring the stability and reliability of power supply.

[0003] However, the traditional meter box maintenance model has many problems, such as unreasonable task allocation, untimely information transmission, inaccurate management of maintenance personnel, etc., which lead to low maintenance efficiency, untimely fault handling, and may even cause greater power problems. In order to meet these challenges, the use of intelligent technology to achieve efficient allocation of meter box maintenance has become an inevitable trend.

[0004] For example, the existing Chinese patent with publication number CN202210728650.2 discloses a maintenance work order allocation method, device, equipment and storage medium. The solution obtains a maintenance work order, then determines the cause of the failure of the robot to be repaired based on the work order, and then determines the target maintenance personnel from the candidate maintenance personnel based on the cause of the failure. It can quickly and accurately determine the cause of the failure and the appropriate maintenance personnel, ensuring that the maintenance personnel have the professional ability to handle the corresponding failures and improving the success rate and quality of maintenance.

[0005] However, the above patent has the following problems: the solution may have certain limitations in determining the target maintenance personnel from the candidate maintenance personnel based only on the cause of the fault. For example, it may not take into account the workload of the maintenance personnel at that time, which may cause the tasks assigned to a certain maintenance personnel to be too concentrated, affecting the overall maintenance progress. It may also ignore factors such as the geographical location of the maintenance personnel. If the distance is too far, it may increase the response time and cost. Summary of the invention

[0006] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an intelligent allocation management method for maintenance of an electric meter box based on data analysis, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions: a method for intelligent allocation management of meter box maintenance based on data analysis, the method comprising the following steps: S1. Fault degree analysis: obtain the number of key associated areas of each faulty meter box, the number of users involved in each faulty meter box, analyze the fault urgency of each faulty meter box, and screen out the preferred faulty meter boxes.

[0008] S2. Personnel skill matching: Obtain the fault type of the preferred faulty meter box, match it with the technical type registered by each technician, and screen out each maintenance personnel.

[0009] S3. Distance analysis: locate the preferred fault meter box, obtain the location of each maintenance personnel, and calculate the straight-line distance between each preferred maintenance personnel and the preferred fault meter box .

[0010] S4. Task balance analysis: According to the number of orders received by each preferred maintenance personnel and the average maintenance time of each preferred maintenance personnel in history, the expected waiting time of each preferred maintenance personnel is obtained, and then the workload of each preferred maintenance personnel is obtained. .

[0011] S5. Time window analysis: obtain the idle time windows of each preferred maintenance personnel, analyze the fault urgency of the preferred fault meter box to obtain the corresponding processing time limit of the preferred fault meter box, screen and count the number of preferred maintenance personnel who meet the time window, and then analyze and obtain the time matching degree of each preferred maintenance personnel.

[0012] S6. Historical performance analysis: Analyze the historical work data of each preferred maintenance personnel to obtain the maintenance quality evaluation coefficient of each preferred maintenance personnel , where historical work data includes maintenance frequency and maintenance speed stability.

[0013] S7. Recommendation of maintenance personnel: The recommendation degree of each preferred maintenance personnel is obtained based on the straight-line distance between each preferred maintenance personnel and the preferred faulty meter box, the workload of each preferred maintenance personnel, the time matching degree, and the maintenance quality evaluation coefficient. Then, the preferred maintenance personnel are screened out and dispatched to them. At the same time, the preferred maintenance personnel of each faulty meter box are analyzed according to the method of analyzing the preferred maintenance personnel of the preferred faulty meter box, and dispatched to them.

[0014] Preferably, the specific analysis method of the fault degree analysis is: the first step is to obtain the associated areas of each faulty meter box, and record the number of associated areas of each faulty meter box.

[0015] The second step is to obtain the number of users in each associated area of ​​each faulty meter box, and to obtain the number of users involved in each faulty meter box by accumulating them.

[0016] The third step is to select high-load areas from the associated areas of each faulty meter box, record them as key associated areas, and count the number of key associated areas of each faulty meter box.

[0017] The fourth step is to obtain the fault urgency of each faulty meter box according to the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box.

[0018] Preferably, the specific analysis method of the fault urgency of each faulty meter box is: respectively read the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box, and substitute them into the formula Get the fault urgency of each faulty meter box , They represent the weight factors of the number of key associated areas and the number of users involved, respectively. Indicates The number of key associated areas of the faulty meter box, Indicates The number of users involved in each faulty meter box is Indicates The number of the faulty meter box, , sort the fault urgency of each fault meter box in descending order, and record the fault meter box corresponding to the first fault urgency as the preferred fault meter box.

[0019] Preferably, the specific analysis method for the personnel skill matching is: obtain the fault type of the preferred faulty meter box, and at the same time retrieve the technical type registered by each technician from the management database, match the fault type of the preferred faulty meter box with the technical type registered by each technician, and screen out technicians whose registered technical types are the same as the fault type of the preferred faulty meter box, and record them as maintenance personnel.

[0020] Preferably, the specific analysis method of the distance analysis is: locate the preferred fault meter box, and at the same time, use the preferred fault meter box as the center and set the distance as the radius to draw a circle, construct an optimal distance space, obtain the location of each maintenance personnel, screen out the maintenance personnel located in the optimal distance space, record them as preferred maintenance personnel, calculate the straight-line distance between each preferred maintenance personnel and the preferred fault meter box, record them as , Indicates The number of the preferred maintenance personnel, .

[0021] Preferably, the specific analysis method of the task balance analysis is: count the number of orders received by each preferred maintenance personnel, and read the historical maintenance time of each preferred maintenance personnel from the management database, and obtain the average historical maintenance time of each preferred maintenance personnel by taking the average value, and obtain the expected work waiting time of each preferred maintenance personnel by multiplying the number of orders received by each preferred maintenance personnel and the historical maintenance average time of each preferred maintenance personnel, which is recorded as , through the formula Get the workload of each preferred maintenance personnel , Represents a natural constant.

[0022] Preferably, the specific analysis method of the time window analysis is: the first step is to obtain the available time period of each preferred maintenance personnel, and at the same time read the average historical maintenance time of each preferred maintenance personnel, set the average historical maintenance time of each preferred maintenance personnel as a fixed duration, and divide the available time period of each preferred maintenance personnel into several equal time windows according to the fixed duration, which are recorded as the idle time windows of each preferred maintenance personnel.

[0023] The second step is to read the fault urgency of each faulty meter box, select the fault urgency of the preferred faulty meter box, and read the corresponding processing time limit of each fault urgency from the management database, and compare the fault urgency of the preferred faulty meter box with it to obtain the corresponding processing time limit of the preferred faulty meter box.

[0024] The third step is to select the idle time window before the processing time limit of the preferred fault meter box from the idle time windows of each preferred maintenance personnel, record it as the qualified time window, and count the number of qualified time windows of each preferred maintenance personnel.

[0025] The fourth step is to obtain the time matching degree of each preferred maintenance personnel according to the number of preferred maintenance personnel who meet the time window.

[0026] Preferably, the specific analysis method of the historical performance analysis is as follows: the first step is to read each historical maintenance case of each preferred maintenance personnel, screen out historical maintenance cases for the same meter box, classify and count each historical case of each meter box of each preferred maintenance personnel, read the maintenance time of each historical case of each meter box of each preferred maintenance personnel, sort them in chronological order, and obtain the maintenance interval length of each historical case of each meter box of each preferred maintenance personnel with the same historical case of the previous time by subtracting the maintenance time of two adjacent historical cases of each meter box of each preferred maintenance personnel, recorded as , Indicates The number of the historical case, , substituting it into the formula Obtain the maintenance frequency of each preferred maintenance personnel , Represents the number of historical cases.

[0027] The second step is to read the maintenance time of each historical case of each meter box of each preferred maintenance personnel at the same time, recorded as , by taking the average of the maintenance time of each meter box and each historical case of each preferred maintenance personnel, the average maintenance time of each meter box of each preferred maintenance personnel is obtained, which is recorded as , substituting it into the formula Obtain the stability of maintenance speed of each preferred maintenance personnel .

[0028] Preferably, the specific analysis method of the maintenance quality evaluation system of each preferred maintenance personnel is: respectively read the maintenance frequency of each preferred maintenance personnel , Maintenance speed stability , substituting it into the formula Obtain the maintenance quality evaluation coefficient of each preferred maintenance personnel , They represent the weight factors of the set maintenance frequency and maintenance speed stability, respectively. Represents a natural constant.

[0029] Preferably, the specific analysis method recommended by the maintenance personnel is: the first step is to read the straight-line distance between each preferred maintenance personnel and the preferred fault meter box respectively. , Workload of each preferred maintenance personnel , time matching , Maintenance quality evaluation coefficient , substituting it into the formula Get the recommendation of each preferred maintenance personnel , They represent the set time matching degree, maintenance quality evaluation coefficient, workload, and weight factor of straight-line distance respectively. Represents a natural constant.

[0030] In the second step, the recommendation degree of each preferred maintenance personnel is sorted in descending order, and the preferred maintenance personnel corresponding to the first recommendation degree is recorded as the preferred maintenance personnel, and the order is dispatched to the preferred maintenance personnel. If the preferred personnel accepts the dispatch, the maintenance task of the preferred faulty meter box is entered into the work system of the preferred maintenance personnel. If the preferred personnel does not accept the dispatch, the preferred maintenance personnel corresponding to the second recommendation degree is recorded as the preferred maintenance personnel, and the order is dispatched to the preferred maintenance personnel again, and so on until the dispatch of the preferred faulty meter box is completed.

[0031] The third step is to analyze each faulty meter box in turn according to the method of analyzing and selecting the preferred maintenance personnel for the faulty meter box, obtain the preferred maintenance personnel for each faulty meter box, and dispatch orders to them.

[0032] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention selects preferred faulty meter boxes according to the urgency of the faults of each faulty meter box, matches and selects the fault types to obtain various maintenance personnel, and improves the professionalism of the processing by matching the fault types with the maintenance personnel, thereby ensuring the normal operation of the power system and the safety of users' electricity use.

[0033] 2. According to the straight-line distance between each preferred maintenance personnel and the preferred fault meter box, the workload of each preferred maintenance personnel, the time matching degree, and the maintenance quality evaluation coefficient, the recommendation degree of each preferred maintenance personnel is obtained, and then the preferred maintenance personnel are screened out to ensure the rational use of resources and improve the overall maintenance level and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0035] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0036] Figure 2 for Figure 1 Schematic diagram of the method flow chart of step S1.

[0037] Figure 3 for Figure 1 Schematic diagram of the method flow of step S5. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 As shown, the present invention provides an intelligent allocation management method for meter box maintenance based on data analysis, the method comprising the following steps: S1. Fault degree analysis: obtaining the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box, analyzing the fault urgency of each faulty meter box, and screening out preferred faulty meter boxes.

[0040] See also Figure 2As shown, the specific analysis method of the fault degree analysis is: the first step is to obtain the associated areas of each faulty meter box, and record their number as the associated areas of each faulty meter box; clarifying the specific area affected by the faulty meter box is conducive to quickly finding the affected range.

[0041] The second step is to obtain the number of users in each associated area of ​​each faulty meter box, and to obtain the number of users involved in each faulty meter box by accumulating them; to accurately understand how many users are affected by the faulty meter box, so as to better evaluate the degree of impact.

[0042] The third step is to screen out high-load areas from the associated areas of each faulty meter box, record them as key associated areas, and count the number of key associated areas of each faulty meter box; this can identify the more critical areas with higher loads in the faulty meter box, and take measures against the high-load areas, which will help reduce faults caused by load problems and improve power supply stability.

[0043] It should be noted that the specific analysis method of the high load area is: the current value and voltage value of each area of ​​each fault meter box are detected by installing an ammeter and a voltmeter, and are recorded as , Indicates The number of the region, , the average current value of each faulty meter box is obtained by taking the average current value of each area of ​​each faulty meter box, which is recorded as , substituting it into the formula Get the current stability of each area of ​​each fault meter box At the same time, the total power of each associated area of ​​each faulty meter box is obtained through power calculation, which is recorded as , substituting it into the formula Get the load level of each area of ​​each fault meter box , Indicates the weight factor of the set current fluctuation degree and total power, Represents a natural constant, and compares the load level of each area of ​​each faulty meter box with the preset load level threshold. If the load level of a certain area of ​​a faulty meter box is greater than or equal to the preset load level threshold, then the area of ​​the faulty meter box is recorded as the key associated area of ​​each faulty meter box, thereby screening out all the key associated areas of each faulty meter box, and recording their number as the number of key associated areas of each faulty meter box .

[0044] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. The degree of current fluctuation can directly reflect the stability and potential problems of circuit operation. Larger current fluctuations may mean abnormal conditions or potential failure risks, so the corresponding weight is higher.

[0045] The fourth step is to analyze the fault urgency of each faulty meter box based on the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box; ensure that faulty meter boxes with high urgency can get priority processing resources to improve fault handling efficiency and avoid delays in handling important faults due to unclear priorities.

[0046] The specific analysis method of the fault urgency of each faulty meter box is as follows: respectively read the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box, and substitute them into the formula Get the fault urgency of each faulty meter box , They represent the weight factors of the number of key associated areas and the number of users involved, respectively. Indicates The number of key associated areas of the faulty meter box, Indicates The number of users involved in each faulty meter box is Indicates The number of the faulty meter box, , sort the fault urgency of each fault meter box in descending order, and record the fault meter box corresponding to the first fault urgency as the preferred fault meter box; this helps to quickly determine the fault meter box to be processed first, that is, the preferred fault meter box, and improve decision-making efficiency.

[0047] It should be noted that, in a specific embodiment, It can be set to 0.5. It can be set to 0.5. The key associated area may have a key position in the entire system, and its failure may trigger a series of chain reactions. The number of users involved is also important, because a large number of users involved means a wide range of fault impact, which has a greater impact on users' normal electricity consumption and life. Priority processing is required to reduce adverse effects. Therefore, the weights corresponding to the number of key associated areas and the number of users involved are equal.

[0048] S2. Personnel skill matching: Obtain the fault type of the preferred faulty meter box, match it with the technical type registered by each technician, and screen out each maintenance personnel.

[0049] The specific analysis method for personnel skill matching is: obtaining the fault type of the preferred faulty meter box, and at the same time retrieving the technical type registered by each technician from the management database, matching the fault type of the preferred faulty meter box with the technical type registered by each technician, screening out technicians whose registered technical types are the same as the fault type of the preferred faulty meter box, and recording them as maintenance personnel; being able to quickly find suitable technicians to handle the corresponding faults, reducing the time for finding and coordinating personnel.

[0050] It should be noted that, in a specific embodiment, the technical types of the meter box include electrical maintenance technology, such as circuit troubleshooting, electrical equipment maintenance, etc., electronic technology, involving the detection and maintenance of electronic components, mechanical maintenance technology, for the mechanical structure part of the meter box, and communication technology to ensure that the communication functions related to the meter are normal.

[0051] S3. Distance analysis: locate the preferred fault meter box, obtain the location of each maintenance personnel, and calculate the straight-line distance between each preferred maintenance personnel and the preferred fault meter box .

[0052] The specific analysis method of the distance analysis is as follows: locate the preferred fault meter box, and construct a circle with the preferred fault meter box as the center and the distance as the radius to construct an optimal distance space, obtain the location of each maintenance personnel, screen out the maintenance personnel located in the optimal distance space, record them as preferred maintenance personnel, and calculate the straight-line distance between each preferred maintenance personnel and the preferred fault meter box, record them as , Indicates The number of the preferred maintenance personnel, ; It can quickly find maintenance personnel who are close to the fault point and reduce the time to rush to the scene.

[0053] S4. Task balance analysis: According to the number of orders received by each preferred maintenance personnel and the average maintenance time of each preferred maintenance personnel in history, the expected waiting time of each preferred maintenance personnel is obtained, and then the workload of each preferred maintenance personnel is obtained. .

[0054] The specific analysis method of the task balance analysis is as follows: the number of orders received by each preferred maintenance personnel is counted, and the historical maintenance time of each preferred maintenance personnel is read from the management database, and the average historical maintenance time of each preferred maintenance personnel is obtained by taking the average value, and the expected working waiting time of each preferred maintenance personnel is obtained by multiplying the number of orders received by each preferred maintenance personnel and the historical maintenance time of each preferred maintenance personnel, which is recorded as , through the formula Get the workload of each preferred maintenance personnel , It represents a natural constant. It can clearly understand the positional relationship between each maintenance personnel and the fault point, facilitate monitoring and command coordination, and more reasonably allocate tasks to appropriate maintenance personnel based on the expected waiting time and workload to avoid uneven task distribution.

[0055] S5. Time window analysis: obtain the idle time windows of each preferred maintenance personnel, analyze the fault urgency of the preferred fault meter box to obtain the corresponding processing time limit of the preferred fault meter box, screen and count the number of preferred maintenance personnel who meet the time window, and then analyze and obtain the time matching degree of each preferred maintenance personnel.

[0056] See also Figure 3 As shown, the specific analysis method of the time window analysis is: the first step is to obtain the available time period of each preferred maintenance personnel, and at the same time read the average historical maintenance time of each preferred maintenance personnel, set the average historical maintenance time of each preferred maintenance personnel as a fixed time, and divide the available time period of each preferred maintenance personnel into several equal time windows according to the fixed time, which are recorded as the idle time windows of each preferred maintenance personnel; it is possible to accurately know in what time period each maintenance personnel is available, so as to better arrange tasks, and by dividing the equal time windows, more rationally utilize time resources, ensure that tasks will not be arranged when the maintenance personnel are busy, and reduce the possibility of time conflicts.

[0057] The second step is to read the fault urgency of each faulty meter box, select the fault urgency of the preferred faulty meter box, and at the same time read the corresponding processing time limit of each fault urgency from the management database, and compare the fault urgency of the preferred faulty meter box with it to obtain the corresponding processing time limit of the preferred faulty meter box; according to the fault urgency and the corresponding processing time limit, deploy human, material and other resources to ensure that the most urgent faulty meter box can be processed in time to reduce possible adverse effects.

[0058] It should be noted that the fault urgency is divided into three levels: high, medium and low in the corresponding processing time limit of each fault urgency, and each fault urgency level corresponds to a different processing time limit. In a specific embodiment, assuming that an electric meter box fails, resulting in a power outage in the entire community, and the normal electricity use of hundreds of households is seriously affected, then it can be judged as a high level of urgency. If another electric meter box only causes some electrical appliances in several households to be unable to be used normally, and there is no obvious safety problem, then it can be judged as a medium level of urgency. If only an indicator light on the electric meter box is not on, it has basically no impact on the user's electricity use and there is no safety concern, then it can be classified as a low level of urgency.

[0059] It should be noted that, in a specific embodiment, for faults with a high level of urgency, the processing time limit may be required to respond and start processing within 1 hour, for faults with a medium level of urgency, the processing time limit can be set within 4 to 6 hours, and for faults with a low level of urgency, the processing time limit can be relaxed to 12 hours or 24 hours.

[0060] The third step is to filter out the idle time windows that are located before the corresponding processing time limit of the preferred fault meter box from the idle time windows of each preferred maintenance personnel, record them as the eligible time windows, and count the number of eligible time windows of each preferred maintenance personnel; quickly find the appropriate time window, reduce waiting and coordination time, ensure that maintenance is arranged within the specified time limit, and improve the timeliness of fault processing.

[0061] The fourth step is to obtain the time matching degree of each preferred maintenance personnel based on the number of preferred maintenance personnel who meet the time window; the appropriate maintenance personnel can be arranged more accurately according to the time matching degree, thereby improving the scientificity of scheduling.

[0062] It should be noted that the specific analysis method of the time matching degree of each preferred maintenance personnel is: read the number of each preferred maintenance personnel that meets the time window, recorded as , through the formula Get the time matching degree of each preferred maintenance personnel , Indicates the reference value of the set time window quantity.

[0063] S6. Historical performance analysis: Analyze the historical work data of each preferred maintenance personnel to obtain the maintenance quality evaluation coefficient of each preferred maintenance personnel , where historical work data includes maintenance frequency and maintenance speed stability.

[0064] The specific analysis method of the historical performance analysis is as follows: the first step is to read each historical maintenance case of each preferred maintenance personnel, screen out the historical maintenance cases for the same meter box, classify and count the historical cases of each meter box of each preferred maintenance personnel, read the maintenance time of each historical case of each meter box of each preferred maintenance personnel, sort them in chronological order, and obtain the maintenance interval length of each historical case of each meter box of each preferred maintenance personnel with the same historical case of the previous time by subtracting the maintenance time of two adjacent historical cases of each meter box of each preferred maintenance personnel, recorded as , Indicates The number of the historical case, , substituting it into the formula Obtain the maintenance frequency of each preferred maintenance personnel , Indicates the number of historical cases; by analyzing the historical cases of the same meter box, we can accurately understand the proficiency and efficiency of each maintenance personnel in a specific task, and at the same time discover potential problems, such as meter boxes with frequent problems, in order to strengthen quality control.

[0065] The second step is to read the maintenance time of each historical case of each meter box of each preferred maintenance personnel at the same time, recorded as , by taking the average of the maintenance time of each meter box and each historical case of each preferred maintenance personnel, the average maintenance time of each meter box of each preferred maintenance personnel is obtained, which is recorded as , substituting it into the formula Obtain the stability of maintenance speed of each preferred maintenance personnel ; Clarifying the stability of each maintenance personnel in terms of maintenance speed will help to allocate tasks more reasonably and ensure efficient work.

[0066] The specific analysis method of the maintenance quality evaluation system of each preferred maintenance personnel is: respectively read the maintenance frequency of each preferred maintenance personnel , Maintenance speed stability , substituting it into the formula Obtain the maintenance quality evaluation coefficient of each preferred maintenance personnel , They represent the weight factors of the set maintenance frequency and maintenance speed stability, respectively. It represents a natural constant. It comprehensively considers the frequency of maintenance and the stability of maintenance speed. It can evaluate the work quality of maintenance personnel more comprehensively and objectively, ensure the high-quality completion of maintenance work, and guarantee the stability and reliability of related services.

[0067] It should be noted that, in a specific embodiment, It can be set to 0.4. It can be set to 0.6. Too frequent maintenance may indicate the existence of some potential problems, while a stable maintenance speed reflects the efficiency and reliability of the maintenance personnel's work, and can more intuitively reflect their professional ability and work quality. Therefore, the weights corresponding to the stability of the maintenance speed are equal.

[0068] S7. Recommendation of maintenance personnel: The recommendation degree of each preferred maintenance personnel is obtained based on the straight-line distance between each preferred maintenance personnel and the preferred faulty meter box, the workload of each preferred maintenance personnel, the time matching degree, and the maintenance quality evaluation coefficient. Then, the preferred maintenance personnel are screened out and dispatched to them. At the same time, the preferred maintenance personnel of each faulty meter box are analyzed according to the method of analyzing the preferred maintenance personnel of the preferred faulty meter box, and dispatched to them.

[0069] The specific analysis method recommended by the maintenance personnel is as follows: the first step is to read the straight-line distance between each preferred maintenance personnel and the preferred fault meter box respectively. , Workload of each preferred maintenance personnel , time matching , Maintenance quality evaluation coefficient , substituting it into the formula Get the recommendation of each preferred maintenance personnel , They represent the set time matching degree, maintenance quality evaluation coefficient, workload, and weight factor of straight-line distance respectively. Represents a natural constant; by comprehensively considering factors such as distance and workload, it can more accurately find the most suitable maintenance personnel, help to arrange personnel reasonably, improve work efficiency and reduce resource waste.

[0070] It should be noted that, in a specific embodiment, It can be set to 0.3. It can be set to 0.3. It can be set to 0.2. It can be set to 0.2. The maintenance quality evaluation coefficient directly reflects the core capabilities and work results of the maintenance personnel. Time matching is also relatively important. It is related to whether the fault can be responded to and handled in time. The importance of workload is relatively small, but it cannot be ignored because it affects the energy distribution of maintenance personnel. Straight-line distance has a certain influence in some cases where timeliness requirements are particularly high and other conditions are equivalent. Therefore, the weights corresponding to time matching and maintenance quality evaluation coefficient are relatively high.

[0071] In the second step, the recommendation degree of each preferred maintenance personnel is sorted in descending order, and the preferred maintenance personnel corresponding to the first recommendation degree is recorded as the preferred maintenance personnel, and the order is dispatched to the preferred maintenance personnel. If the preferred personnel accepts the dispatch, the maintenance task of the preferred faulty meter box is entered into the work system of the preferred maintenance personnel. If the preferred personnel does not accept the dispatch, the preferred maintenance personnel corresponding to the second recommendation degree is recorded as the preferred maintenance personnel, and the order is dispatched to the preferred maintenance personnel again, and so on until the dispatch of the preferred faulty meter box is completed; sorting by recommendation degree and dispatching in sequence can quickly find the most likely and suitable personnel to accept the task, improve efficiency, ensure that the most suitable personnel get the task first, and achieve optimal allocation of human resources.

[0072] The third step is to analyze each faulty meter box in turn according to the method of analyzing and selecting the preferred maintenance personnel for the faulty meter box, obtain the preferred maintenance personnel for each faulty meter box, and dispatch them; find the most suitable preferred maintenance personnel for each faulty meter box, improve work efficiency and quality, ensure that personnel with matching professional capabilities are responsible for corresponding tasks, and ensure maintenance results.

[0073] The present invention selects preferred faulty electric meter boxes according to the fault urgency of each faulty electric meter box, matches and selects the fault types to obtain various maintenance personnel, and obtains the recommendation degree of each preferred maintenance personnel according to the straight-line distance between each preferred maintenance personnel and the preferred faulty electric meter box, the workload of each preferred maintenance personnel, the time matching degree, and the maintenance quality evaluation coefficient analysis, and then selects the preferred maintenance personnel, so that the ability of the maintenance personnel is better matched with the fault type, the advantage of each maintenance personnel is fully utilized, and the accuracy and success rate of fault handling are improved.

[0074] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A method for intelligent distribution management of meter box maintenance based on data analysis, characterized in that: The steps include: S1. Fault severity analysis: Obtain the number of key associated areas of each faulty meter box, the number of users involved in each faulty meter box, analyze the urgency of the fault of each faulty meter box, and select the optimal faulty meter box; S2. Personnel skill matching: Obtain the fault type of the preferred faulty meter box, match it with the technical type registered by each technician, and screen out each maintenance personnel; S3. Distance analysis: locate the preferred fault meter box, obtain the location of each maintenance personnel, and calculate the straight-line distance between each preferred maintenance personnel and the preferred fault meter box ; S4. Task balance analysis: According to the number of orders received by each preferred maintenance personnel and the average maintenance time of each preferred maintenance personnel in history, the expected waiting time of each preferred maintenance personnel is obtained, and then the workload of each preferred maintenance personnel is obtained. ; S5. Time window analysis: Obtain the idle time windows of each preferred maintenance personnel, analyze the fault urgency of the preferred fault meter box to obtain the corresponding processing time limit of the preferred fault meter box, screen and count the number of preferred maintenance personnel who meet the time window, and then analyze and obtain the time matching degree of each preferred maintenance personnel; S6. Historical performance analysis: Analyze the historical work data of each preferred maintenance personnel to obtain the maintenance quality evaluation coefficient of each preferred maintenance personnel , where historical work data includes maintenance frequency and maintenance speed stability; S7. Recommendation of maintenance personnel: According to the straight-line distance between each preferred maintenance personnel and the preferred faulty electric meter box, the workload of each preferred maintenance personnel, the time matching degree, and the maintenance quality evaluation coefficient, the recommendation degree of each preferred maintenance personnel is obtained, and then the preferred maintenance personnel are screened out and dispatched to them. At the same time, according to the method of analyzing the preferred maintenance personnel of the preferred faulty electric meter box, the preferred maintenance personnel of each faulty electric meter box are analyzed and dispatched to them; The specific analysis method of the historical performance analysis is as follows: The first step is to read the historical maintenance cases of each preferred maintenance personnel, select the historical maintenance cases for the same meter box, classify and count the historical cases of each meter box of each preferred maintenance personnel, read the maintenance time of each historical case of each meter box of each preferred maintenance personnel, sort them in chronological order, and obtain the maintenance interval length of each historical case of each meter box of each preferred maintenance personnel with the same historical case of the previous time by subtracting the maintenance time of two adjacent historical cases of each meter box of each preferred maintenance personnel, recorded as , Indicates The number of the historical case, , substituting it into the formula Obtain the maintenance frequency of each preferred maintenance personnel , represents the number of historical cases; The second step is to read the maintenance time of each historical case of each meter box of each preferred maintenance personnel at the same time, recorded as , by taking the average of the maintenance time of each meter box and each historical case of each preferred maintenance personnel, the average maintenance time of each meter box of each preferred maintenance personnel is obtained, which is recorded as , substituting it into the formula Obtain the stability of maintenance speed of each preferred maintenance personnel ; The specific analysis method of the maintenance quality evaluation system of each preferred maintenance personnel is: Read the maintenance frequency of each preferred maintenance personnel separately , Maintenance speed stability , substituting it into the formula Obtain the maintenance quality evaluation coefficient of each preferred maintenance personnel , They represent the weight factors of the set maintenance frequency and maintenance speed stability, respectively. Represents a natural constant.

2. According to claim 1, a method for intelligent distribution management of electric meter box maintenance based on data analysis is characterized in that: The specific analysis method of the fault degree analysis is: The first step is to obtain the associated areas of each faulty electric meter box, and record the number of associated areas of each faulty electric meter box as each associated area of ​​each faulty electric meter box; The second step is to obtain the number of users in each associated area of ​​each faulty meter box, and to obtain the number of users involved in each faulty meter box by accumulating them; The third step is to select high-load areas from the associated areas of each faulty meter box, record them as key associated areas, and count the number of key associated areas of each faulty meter box; The fourth step is to obtain the fault urgency of each faulty meter box according to the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box.

3. According to claim 2, a method for intelligent distribution management of electric meter box maintenance based on data analysis is characterized in that: The specific analysis method of the fault urgency of each faulty electric meter box is as follows: Read the number of key associated areas of each faulty meter box and the number of users involved in each faulty meter box, and substitute them into the formula Get the fault urgency of each faulty meter box , They represent the weight factors of the number of key associated areas and the number of users involved, respectively. Indicates The number of key associated areas of the faulty meter box, Indicates The number of users involved in each faulty meter box is Indicates The number of the faulty meter box, , sort the fault urgency of each fault meter box in descending order, and record the fault meter box corresponding to the first fault urgency as the preferred fault meter box.

4. According to claim 3, a method for intelligent distribution management of electric meter box maintenance based on data analysis is characterized in that: The specific analysis method for personnel skill matching is as follows: The fault type of the preferred faulty meter box is obtained, and at the same time, the technical type registered by each technician is retrieved from the management database, and the fault type of the preferred faulty meter box is matched with the technical type registered by each technician, and the technicians whose registered technical type is the same as the fault type of the preferred faulty meter box are screened and recorded as maintenance personnel.

5. According to the data analysis-based intelligent distribution management method for electric meter box maintenance according to claim 4, it is characterized by: The specific analysis method of the distance analysis is: The preferred fault meter box is located, and a circle is constructed with the preferred fault meter box as the center and the distance as the radius to construct the optimal distance space. The location of each maintenance personnel is obtained, and the maintenance personnel located in the optimal distance space are screened out and recorded as each preferred maintenance personnel. The straight-line distance between each preferred maintenance personnel and the preferred fault meter box is calculated and recorded as , Indicates The number of the preferred maintenance personnel, .

6. The method for intelligent distribution management of electric meter box maintenance based on data analysis according to claim 1 is characterized by: The specific analysis method of the task balance analysis is as follows: The number of orders received by each preferred maintenance personnel is counted, and the maintenance time of each preferred maintenance personnel in history is read from the management database. The average maintenance time of each preferred maintenance personnel in history is obtained by taking the average value. The expected waiting time of each preferred maintenance personnel is obtained by multiplying the number of orders received by each preferred maintenance personnel and the average maintenance time of each preferred maintenance personnel in history, which is recorded as , through the formula Get the workload of each preferred maintenance personnel , Represents a natural constant.

7. The method for intelligent distribution management of electric meter box maintenance based on data analysis according to claim 6 is characterized by: The specific analysis method of the time window analysis is: The first step is to obtain the free time period of each preferred maintenance personnel, and at the same time read the average historical maintenance time of each preferred maintenance personnel, set the average historical maintenance time of each preferred maintenance personnel as a fixed time, and divide the free time period of each preferred maintenance personnel into several equal time windows according to the fixed time, which are recorded as the free time windows of each preferred maintenance personnel; The second step is to read the fault urgency of each faulty meter box, select the fault urgency of the preferred faulty meter box, and read the corresponding processing time limit of each fault urgency from the management database, and compare the fault urgency of the preferred faulty meter box with the preferred faulty meter box to obtain the corresponding processing time limit of the preferred faulty meter box; The third step is to select the idle time window before the processing time limit of the preferred fault meter box from the idle time windows of each preferred maintenance personnel, record it as the qualified time window, and count the number of qualified time windows of each preferred maintenance personnel; The fourth step is to obtain the time matching degree of each preferred maintenance personnel according to the number of preferred maintenance personnel who meet the time window.

8. The method for intelligent distribution management of electric meter box maintenance based on data analysis according to claim 1 is characterized by: The specific analysis method recommended by the maintenance personnel is: The first step is to read the straight-line distance between each preferred maintenance personnel and the preferred fault meter box. , Workload of each preferred maintenance personnel , time matching , Maintenance quality evaluation coefficient , substituting it into the formula Get the recommendation of each preferred maintenance personnel , They represent the set time matching degree, maintenance quality evaluation coefficient, workload, and weight factor of straight-line distance respectively. represents a natural constant; The second step is to sort the recommendation degrees of each preferred maintenance personnel in descending order, record the preferred maintenance personnel corresponding to the first recommendation degree as the preferred maintenance personnel, and dispatch the order to the preferred maintenance personnel. If the preferred personnel accepts the dispatch, the maintenance task of the preferred fault meter box is entered into the work system of the preferred maintenance personnel. If the preferred personnel does not accept the dispatch, the preferred maintenance personnel corresponding to the second recommendation degree is recorded as the preferred maintenance personnel, and the order is dispatched to the preferred maintenance personnel again, and so on until the dispatch of the preferred fault meter box is completed; The third step is to analyze each faulty meter box in turn according to the method of analyzing and selecting the preferred maintenance personnel for the faulty meter box, obtain the preferred maintenance personnel for each faulty meter box, and dispatch orders to them.

Images