Cloud computing-based transmission and distribution network resource management system and method

Abstract

The present invention discloses a cloud computing-based power transmission and distribution network resource management system and method, which belongs to the field of cloud computing technology. It includes: constructing a three-dimensional map model, obtaining the location of each electrical equipment in the power transmission and distribution network, obtaining the actual number of maintenance equipment, determining each maintenance equipment, and in the process of inspecting all electrical equipment in the corresponding electrical equipment set, inspecting the shortest inspection route, obtaining the average detection time of each electrical equipment in advance, and judging the faulty electrical equipment, and then adjusting the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment. The present invention finds the optimal path through a clustering algorithm and an optimal path algorithm, and optimizes the optimal path corresponding to each maintenance equipment according to the maintenance situation, thereby improving the judgment accuracy, saving maintenance time, and more efficiently discovering faulty electrical equipment, helping enterprises to resume work and production as soon as possible and reduce economic losses.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud computing, and in particular to a cloud computing-based transmission and distribution network resource management system and method. Background Art

[0002] The transmission, transformation and distribution network refers to a power transmission system composed of high-voltage transmission lines and substations, which is used to transmit the electricity generated by power plants to cities and regions through high-voltage transmission lines to provide users with stable and reliable power supply. The transmission, transformation and distribution network is usually composed of power plants, high-voltage transmission lines, substations and distribution sections. As an indispensable part of the power system, the transmission, transformation and distribution network can achieve functions such as cross-regional, guarantee power supply, relieve load pressure, and optimize the allocation of energy resources. It is of great significance to ensure national and regional energy security and achieve economic development and social progress.

[0003] Since the facilities of the power transmission and distribution network are easily affected by natural factors such as lightning, ice and snow, typhoons and other environmental factors, the monitoring equipment has a high failure rate, short life, and a large maintenance workload. The monitoring equipment will fail within 1-2 years of operation, accounting for more than 70% of the total failure rate. Therefore, it is very important to conduct daily inspections, tests, and maintenance of electrical equipment on a regular basis. The existing daily inspection and maintenance of electrical equipment requires full-time patrol personnel to conduct inspections. However, due to human factors, the training and management costs of personnel are high, and patrol personnel may be negligent, omit or misjudge. Bad weather will also affect the quality of inspections. At the same time, long hours of work may cause fatigue, resulting in slower speeds and possible errors or incomplete data. Summary of the invention

[0004] The purpose of the present invention is to provide a cloud computing-based transmission, transformation and distribution network resource management system and method to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] The cloud computing-based transmission and distribution network resource management method comprises the following steps:

[0007] Step S1: construct a three-dimensional map model; obtain the location of each electrical device in the transmission and distribution network, and import the data of each electrical device into the three-dimensional map model; obtain the actual number of maintenance equipment, which is not greater than the number of electrical equipment;

[0008] Step S2: The number of maintenance equipment is set to K, and each electrical equipment in the three-dimensional map model is divided into K electrical equipment sets, each maintenance equipment is used to inspect all electrical equipment in the corresponding electrical equipment set; determine the optimal inspection route for each maintenance equipment in the process of inspecting all electrical equipment in the corresponding electrical equipment set;

[0009] Step S3: pre-acquire the detection time of each maintenance device after it detects each electrical device and the detection result is no fault in the actual detection process, and then obtain the average detection time of each electrical device;

[0010] Step S4: According to the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment obtained in step S2, and the average inspection time of each electrical equipment obtained in step S3, the operating time characteristic parameters of each maintenance equipment are determined, and then the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment are adjusted;

[0011] Step S5: Mark each electrical device that is found to be fault-free after detection; if a certain electrical device is found to be faulty after detection, judge the fault level and actual maintenance time of the electrical device, and then adjust the electrical device set and the optimal inspection route corresponding to each maintenance device.

[0012] Furthermore, in step S2, the step of dividing each electrical device in the three-dimensional map model into K electrical device sets according to setting the number of maintenance equipment to K includes:

[0013] Step S2-1: converting the three-dimensional map model into a three-dimensional coordinate system, taking the coordinate points corresponding to each electrical device in the three-dimensional coordinate system as the electrical device coordinate points, determining the respective maximum values ​​of the electrical device coordinate points on the horizontal axis, the vertical axis and the vertical axis, and obtaining the maximum value coordinate point, and then randomly selecting K feature coordinate points from the coordinate origin and the maximum value coordinate point;

[0014] Step S2-2: Calculate the distance between each electrical equipment coordinate point and each characteristic coordinate point respectively, the formula is:

[0015]

[0016] in, For the The electrical equipment coordinate point and The distance between feature coordinate points, For the The horizontal axis coordinate value of the electrical equipment coordinate point, For the The horizontal axis coordinate value of the feature coordinate point, For the The vertical axis coordinate value of the electrical equipment coordinate point, For the The vertical coordinate value of the feature coordinate point, For the The vertical axis coordinate value of the electrical equipment coordinate point, For the The vertical axis coordinate value of the feature coordinate point;

[0017] Step S2-3: According to step S2-2, a certain electrical equipment coordinate point and a characteristic coordinate point closest to the certain electrical equipment coordinate point are classified into one category, and then each electrical equipment coordinate point is divided into K sets, each set including a number of electrical equipment coordinate points and corresponding characteristic coordinate points;

[0018] Step S2-4: According to the coordinate points of each electrical device in each set, the coordinates of the associated coordinate points in each set are determined as follows:

[0019]

[0020] in, For collection The coordinates of the associated coordinate points in For collection The total number of electrical equipment coordinate points in For collection The The horizontal axis coordinate value of the electrical equipment coordinate point, For collection The The vertical axis coordinate value of the electrical equipment coordinate point, For collection The The vertical axis coordinate value of each electrical equipment coordinate point;

[0021] Step S2-5: Calculate the distance between the characteristic coordinate points and the associated coordinate points in each set. If each distance is less than the set distance threshold, the calculation ends and the electrical equipment in the three-dimensional map model is divided into K electrical equipment sets; otherwise, the coordinates of each associated coordinate point are used as the coordinates of each corresponding characteristic coordinate point to obtain the coordinates of each new characteristic coordinate point, and repeat steps S2-2 to S2-5 until the distance between the characteristic coordinate points and the associated new coordinates in each set is less than the set distance threshold.

[0022] Furthermore, in step S2, for each maintenance equipment, the optimal inspection route in the process of inspecting all electrical equipment in the corresponding electrical equipment set includes: obtaining all electrical equipment in the electrical equipment set corresponding to the maintenance equipment, inspecting all the electrical equipment once, and finding the inspection route with the shortest inspection path as the optimal inspection route.

[0023] Furthermore, the formula for calculating the average detection time of each electrical device in step S3 is:

[0024]

[0025] in, It is Average inspection time of electrical equipment, is the number of equipment under maintenance, It is After the inspection of the maintenance equipment The inspection time after an electrical device is installed and the inspection result is no fault.

[0026] Further, step S4 includes the following steps:

[0027] Step S4-1: According to the optimal inspection route of each maintenance equipment, the optimal inspection time of each maintenance equipment is obtained, and then the formula for calculating the operating time characteristic parameter of each maintenance equipment is:

[0028]

[0029] in, For the The operating time characteristic parameters of each maintenance equipment, Indicates the inspection time weight of the maintenance equipment. Indicates The optimal inspection time for each maintenance equipment, Indicates the inspection time weight of the maintenance equipment, Indicates The electrical equipment set corresponding to each maintenance equipment, express The first electrical equipment, is a constant, express The first Average inspection time of electrical equipment, Indicates the total number of equipment under maintenance;

[0030] Step S4-2: Calculate the maintenance time variance based on the obtained operating time characteristic parameters of each maintenance equipment ,Will The time variance threshold is set For comparison; if , assign one or more electrical equipment in a certain electrical equipment set obtained in step S2 to its adjacent electrical equipment set, or assign one or more electrical equipment in an electrical equipment set adjacent to a certain electrical equipment set to the electrical equipment set, and then obtain the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment after adjustment according to step S2; if , stop adjusting;

[0031] Step S4-3: According to the electrical equipment set and optimal inspection route corresponding to each maintenance equipment adjusted in step S4-2, repeat steps S4-1 and S4-2 until the optimal inspection route is met. stop.

[0032] Further, step S5 includes the following steps:

[0033] Step S5-1: If the maintenance device determines that a certain electrical device is faulty after detecting the electrical device, the maintenance device is recorded as a. If the fault level of the faulty electrical device is greater than the fault level threshold, the maintenance device a reports the fault data and the maintenance device a continues to inspect;

[0034] Step S5-2: If the fault level of the faulty electrical equipment is not greater than the fault level threshold, the maintenance device a repairs the faulty electrical equipment and records the actual maintenance time of the maintenance device a. , and set the first maintenance time threshold and the second maintenance time threshold For comparison, , specifically:

[0035] Step S5-3: If , no adjustments are made at this time;

[0036] Step S5-4: If , according to step S2 and step S4, all unmarked electrical equipment are reclassified into k electrical equipment sets, and the optimal inspection routes of the k maintenance equipment during the inspection process are re-determined;

[0037] Step S5-5: If , except for the maintenance equipment a, all the unmarked electrical equipment are reclassified into k-1 electrical equipment sets according to step S2 and step S4, and the optimal inspection route of the k-1 maintenance equipment during the inspection process is re-determined.

[0038] The cloud computing-based transmission, transformation and distribution network resource management system includes the following modules:

[0039] Data initialization module: used to construct a three-dimensional map model; obtain the location of each electrical equipment in the transmission and distribution network, and import the data of each electrical equipment into the three-dimensional map model; obtain the actual number of maintenance equipment, which is not greater than the number of electrical equipment;

[0040] Optimal inspection route module: used to set the number of maintenance equipment to K, and divide each electrical equipment in the three-dimensional map model into K electrical equipment sets, each maintenance equipment is used to inspect all electrical equipment in the corresponding electrical equipment set; determine the optimal inspection route for each maintenance equipment in the process of inspecting all electrical equipment in the corresponding electrical equipment set;

[0041] Average detection time module: used to pre-acquire the detection time of each maintenance equipment after it detects each electrical equipment and the detection result is fault-free during the actual detection process, and then obtain the average detection time of each electrical equipment;

[0042] Equipment workload module: used to determine the operating time characteristic parameters of each maintenance equipment according to the electrical equipment set and optimal inspection route corresponding to each maintenance equipment obtained by the optimal inspection route module, and the average inspection time of each electrical equipment obtained by the average inspection time module, and then adjust the electrical equipment set and optimal inspection route corresponding to each maintenance equipment;

[0043] Inspection route adjustment module: used to mark each electrical device that has been tested to be fault-free; if an electrical device is found to be faulty after testing, the electrical device set and the optimal inspection route corresponding to each maintenance device are adjusted based on the fault level and actual maintenance time of the electrical device.

[0044] Furthermore, the optimal inspection route module includes an optimal inspection route unit, which is specifically used to obtain all electrical equipment in the electrical equipment set corresponding to the maintenance equipment, inspect all the electrical equipment once, and find the inspection route with the shortest inspection path as the optimal inspection route.

[0045] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention provides a cloud-based power transmission and distribution network resource management system and method, including: constructing a three-dimensional map model, obtaining the location of each electrical equipment in the power transmission and distribution network, obtaining the actual number of maintenance equipment, determining each maintenance equipment, and in the process of inspecting all electrical equipment in the corresponding electrical equipment set, inspecting the shortest inspection route, obtaining the average detection time of each electrical equipment in advance, and judging the faulty electrical equipment, and then adjusting the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment. The present invention finds the optimal path through clustering algorithm and optimal path algorithm, and optimizes the optimal path corresponding to each maintenance equipment according to the maintenance situation, which improves the judgment accuracy, saves maintenance time, and can more efficiently find faulty electrical equipment, helping enterprises to resume work and production as soon as possible and reduce economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0047] Figure 1 It is a flow chart of a cloud computing-based transmission and distribution network resource management method of the present invention;

[0048] Figure 2 It is a structural diagram of the cloud computing-based transmission, transformation and distribution network resource management system of the present invention. DETAILED DESCRIPTION

[0049] 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.

[0050] See also Figure 1-Figure 2 The present invention provides a cloud computing-based transmission and distribution network resource management system and method, and the corresponding cloud computing-based transmission and distribution network resource management method flowchart is as follows: Figure 1 As shown. The following steps are included:

[0051] Step S1: construct a three-dimensional map model; obtain the location of each electrical equipment in the transmission and distribution network, and import the data of each electrical equipment into the three-dimensional map model; obtain the actual number of maintenance equipment, which is not greater than the number of electrical equipment.

[0052] A three-dimensional map model is constructed (the tool for constructing the three-dimensional map model may be Cesium, Unity 3D or BIM, etc. Cesium is an open source three-dimensional earth and map engine, Unity 3D is an engine widely used in game development and virtual reality, and can also be used to construct three-dimensional maps, BIM is a building information model, a tool based on three-dimensional digital technology), and the coordinate position of the center point of the model is the northwestmost position of the power station on the real map. In this embodiment, the transmission and distribution network is a power station.

[0053] Determine the electrical equipment in the power station that requires daily inspection, detection, and maintenance, and obtain the specific location of each electrical equipment. The specific location of each electrical equipment includes longitude and latitude and height above the ground (height in meters). In this embodiment, the electrical equipment is a generator set, boiler, steam turbine, transformer, cooling tower, etc., and there is more than one of each type of electrical equipment, but the electrical equipment in actual situations should be analyzed specifically according to the actual situation. According to the specific location of each electrical equipment (longitude and latitude and height above the ground), each electrical equipment data is imported into the constructed three-dimensional map model to obtain each electrical equipment module in the three-dimensional map model.

[0054] Obtain the actual number of maintenance equipment used to detect and repair each electrical device. The number of maintenance equipment is determined by the enterprise. The maintenance equipment is a robot that can automatically perform maintenance. The maintenance equipment can detect faults of each electrical device and report the electrical equipment and fault type to the data center. It can also perform fine operations, such as replacing components and repairing lines. Of course, the number of maintenance equipment should be determined based on cost and the number and location of electrical equipment. The number of maintenance equipment should not be greater than the number of electrical equipment.

[0055] Step S2: Set the number of maintenance equipment to K, and divide each electrical equipment in the three-dimensional map model into K electrical equipment sets, each maintenance equipment is used to inspect all electrical equipment in the corresponding electrical equipment set; determine the optimal inspection route for each maintenance equipment during the inspection of all electrical equipment in the corresponding electrical equipment set.

[0056] Since the electrical equipment under the transmission and distribution network will inevitably have problems during the actual working process, and it is difficult to find out whether one or more electrical equipment has failed, as well as the specific electrical equipment that has failed, in order to troubleshoot the fault, or to regularly inspect the electrical equipment to find and solve the problem in advance, it is necessary to inspect each electrical equipment. In order to improve the working efficiency of the maintenance equipment, it is necessary to divide each electrical equipment into piles, that is, to divide it into several electrical equipment sets, and quickly locate the faulty electrical equipment. The distance between each electrical equipment in each electrical equipment set should not be too far to maximize the efficiency. Therefore, the present invention uses a clustering algorithm to divide each electrical equipment into piles, and then find the most suitable electrical equipment set. The factors that affect the working time include the inspection time and the time spent by the maintenance equipment on the road. In order to reduce the time spent by each maintenance equipment on the road, the present invention uses the optimal path algorithm to obtain the optimal inspection route corresponding to each maintenance equipment. The optimal inspection route is the inspection route with the shortest inspection path in the process of inspecting all electrical equipment in the corresponding electrical equipment set.

[0057] The clustering algorithm k-Means is a clustering algorithm that finds K clusters of a given data set. It is called K-means because it can find K different clusters. A cluster is a point set of all data. The objects in the cluster are similar, and the center of each cluster is calculated using the mean of the values ​​contained in the cluster. In this embodiment, a cluster represents an electrical equipment set. Among them, the number of clusters K is specified by the user. In this embodiment, the number of K is equal to the number of maintenance equipment, and also equal to the number of electrical equipment sets. The steps of dividing each electrical equipment into several electrical equipment sets according to the k-Means clustering algorithm are as follows:

[0058] Step S2-1: Convert the three-dimensional map model into a three-dimensional coordinate system, where the horizontal coordinate of the coordinate system is the x-axis, the vertical coordinate is the y-axis, and the height coordinate is the z-axis. The coordinate points corresponding to each electrical device in the three-dimensional coordinate system are used as electrical device coordinate points. The maximum values ​​of the coordinate points of each electrical device on the horizontal, vertical and vertical axes are determined, and the maximum value coordinate points are obtained. Then, K feature coordinate points are randomly selected between the coordinate origin and the maximum value coordinate point.

[0059] Step S2-2: Calculate the distance between each electrical equipment coordinate point and each characteristic coordinate point respectively, the formula is:

[0060]

[0061] in, For the The electrical equipment coordinate point and The distance between feature coordinate points, For the The horizontal axis coordinate value of the electrical equipment coordinate point, For the The horizontal axis coordinate value of the feature coordinate point, For the The vertical axis coordinate value of the electrical equipment coordinate point, For the The vertical coordinate value of the feature coordinate point, For the The vertical axis coordinate value of the electrical equipment coordinate point, For the The vertical axis coordinate value of the feature coordinate point;

[0062] Step S2-3: According to step S2-2, a certain electrical equipment coordinate point and a characteristic coordinate point closest to the certain electrical equipment coordinate point are classified into one category, and then each electrical equipment coordinate point is divided into K sets, each set including a number of electrical equipment coordinate points and corresponding characteristic coordinate points;

[0063] Step S2-4: According to the coordinate points of each electrical device in each set, the associated coordinate points in each set are further determined (the purpose of obtaining the associated coordinate points is: the associated coordinate points are equivalent to the center points of each electrical device coordinate point in the set. In order to make the clustering result more accurate and reasonable, the center point is compared with the characteristic coordinate points in the set to better obtain the deviation between the coordinate points of each electrical device in the set and the characteristic coordinate points, and according to the deviation, new characteristic coordinate points are set, so that the coordinate points of each electrical device can be better divided into the corresponding set, thereby improving the quality of clustering) The coordinates are:

[0064]

[0065] in, For collection The coordinates of the associated coordinate points in For collection The total number of electrical equipment coordinate points in For collection The The horizontal axis coordinate value of the electrical equipment coordinate point, For collection The The vertical axis coordinate value of the electrical equipment coordinate point, For collection The The vertical axis coordinate value of each electrical equipment coordinate point;

[0066] Step S2-5: Calculate the distance between the characteristic coordinate points and the associated coordinate points in each set. If each distance is less than the set distance threshold, the calculation ends and the electrical equipment in the three-dimensional map model is divided into K electrical equipment sets; otherwise, the coordinates of each associated coordinate point are used as the coordinates of each corresponding characteristic coordinate point to obtain the coordinates of each new characteristic coordinate point, and repeat steps S2-2 to S2-5 until the distance between the characteristic coordinate points and the associated new coordinates in each set is less than the set distance threshold.

[0067] Step S2-6: Obtain all electrical equipment in the electrical equipment set corresponding to the maintenance equipment, inspect all electrical equipment once, and find the inspection route with the shortest inspection path as the optimal inspection route.

[0068] TSP The traveling salesman problem is one of the famous problems in mathematics. question, The TSP problem is how to find the shortest path through all nodes (in this invention, the nodes are electrical devices). There are many algorithms for solving the TSP problem in the prior art, such as the particle swarm algorithm. ，Ant colony algorithm, greedy algorithm, genetic algorithm, etc. Obtain all electrical equipment in the electrical equipment set corresponding to the maintenance equipment, conduct inspections on all electrical equipment, and inspect them once. This implementation uses genetic algorithm to find the inspection route with the shortest inspection path as the optimal inspection route. Since genetic algorithm is an existing technology, the specific implementation steps can refer to existing materials and will not be repeated here.

[0069] Step S3: Pre-acquire the detection time of each maintenance device after it detects each electrical device and the detection result is fault-free during the actual detection process, and then obtain the average detection time of each electrical device, the formula is:

[0070]

[0071] in, It is Average inspection time of electrical equipment, is the number of equipment under maintenance, It is After the inspection of the maintenance equipment The average detection time is the time it takes for each maintenance device to detect the same electrical equipment and the detection result is no fault. Since the time difference between each maintenance device and the detection of the same electrical equipment is not large, the average detection time is calculated for the convenience of value selection and calculation.

[0072] Step S4: According to the electrical equipment set and optimal inspection route corresponding to each maintenance equipment obtained in step S2, and the average inspection time of each electrical equipment obtained in step S3, determine the operating time characteristic parameters of each maintenance equipment, and then adjust the electrical equipment set and optimal inspection route corresponding to each maintenance equipment.

[0073] The time taken by the maintenance equipment from the start of maintenance of the first electrical equipment to the completion of maintenance of the last electrical equipment is taken as the running time. The running time of each maintenance equipment is determined by the inspection time and the time spent by the maintenance equipment on the road. After clustering and passing the optimal inspection route, the running time of each maintenance equipment obtained should not differ too much. Step S2 of the present invention does not limit this condition. The solution is as follows:

[0074] Step S4-1: According to the optimal inspection route of each maintenance equipment, the optimal inspection time of each maintenance equipment is obtained, and then the formula for calculating the operating time characteristic parameter of each maintenance equipment is:

[0075]

[0076] in, For the The operating time characteristic parameters of each maintenance equipment, Indicates the inspection time weight of the maintenance equipment. Indicates The optimal inspection time for each maintenance equipment, Indicates the inspection time weight of the maintenance equipment, Indicates The electrical equipment set corresponding to each maintenance equipment, express The first electrical equipment, is a constant, express The first Average inspection time of electrical equipment, Indicates the total number of maintenance equipment. The number of electrical equipment sets is equal to the number of maintenance equipment.

[0077] It should be noted that is obtained based on the optimal inspection route. The smaller the The shorter the operation time of each maintenance equipment; Represents the The maintenance equipment is under maintenance When an electrical device is installed, the factors affecting the maintenance time (that is, the Average maintenance time of electrical equipment ), to characterize the length of maintenance time of maintenance equipment, The smaller the The shorter the operating time of each maintenance equipment.

[0078] It should be further explained that the present invention uses the operating time characteristic parameter RT of each maintenance equipment (the operating time characteristic parameter RT is not the actual operating time of the maintenance equipment, but a parameter used to characterize the actual operating time of the maintenance equipment) to characterize the operating time of each maintenance equipment. The smaller the parameter RT is, the smaller the actual operating time of the maintenance equipment is. The actual operating time of each maintenance equipment can be obtained. The smaller it is, the more reasonable the work arrangement of each maintenance equipment is. Otherwise, the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment are adjusted, as shown below:

[0079] Step S4-2: Calculate the maintenance time variance based on the obtained operating time characteristic parameters of each maintenance equipment ,Will The time variance threshold is set For comparison; if , assign one or more electrical equipment in a certain electrical equipment set obtained in step S2 to its adjacent electrical equipment set, or assign one or more electrical equipment in an electrical equipment set adjacent to a certain electrical equipment set to the electrical equipment set, and then obtain the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment after adjustment according to step S2; if , stop adjusting. According to the maintenance time variance, we can get the difference in the actual operating time of each maintenance equipment. The smaller the maintenance time variance, the more reasonable the work arrangement of each maintenance equipment. Specifically:

[0080] According to the operating time characteristic parameters of each maintenance equipment obtained in step S4-1, the maintenance time variance is calculated. , the formula is:

[0081]

[0082] in, is the maintenance time variance, The number of equipment to be repaired. For the The operating time characteristic parameters of each maintenance equipment, is the average operating time of the maintenance equipment, The calculation formula is: .

[0083] Maintenance time variance The time variance threshold is set For comparison, if , indicating that the difference between the pre-operation time of each maintenance equipment (the estimated operation time of the maintenance equipment) is too large. At this time, the electrical equipment set corresponding to the maintenance equipment with too long pre-operation time is readjusted, for example, one or more electrical equipment in the electrical equipment set is assigned to its adjacent electrical equipment set; or the electrical equipment set corresponding to the maintenance equipment with too short pre-operation time is readjusted, for example, one or more electrical equipment in the electrical equipment set adjacent to the electrical equipment set is assigned to the electrical equipment set. The specific situation should be adjusted in the direction of smaller variance of the operation time of the maintenance equipment, so as to obtain the electrical equipment set corresponding to each maintenance equipment after adjustment, and re-determine the optimal inspection route for each maintenance equipment during the inspection process according to step S2.

[0084] Step S4-3: According to the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment after adjustment in step S4-2, repeat steps S4-1 and S4-2 until the following conditions are met: Stop. At this time, the pre-operation time of each maintenance equipment is relatively small. Stop adjustment and start inspection of each maintenance equipment.

[0085] Step S5: Mark each electrical device that is found to be fault-free after detection; if a certain electrical device is found to be faulty after detection, judge the fault level and actual maintenance time of the electrical device, and then adjust the electrical device set and the optimal inspection route corresponding to each maintenance device.

[0086] Step S5-1: If the maintenance equipment determines that a certain electrical equipment has a fault after detecting the electrical equipment, the maintenance equipment is recorded as a. If the fault level of the faulty electrical equipment is greater than the fault level threshold, the maintenance equipment a reports the fault data and continues to inspect.

[0087] The electrical equipment that has no faults after the inspection is marked, and the electrical equipment that has not been repaired is not marked. If during the inspection, the maintenance device a finds that a certain electrical equipment has a fault, and the fault level is judged, further judgment is made based on the fault level judgment result:

[0088] If the fault level of the electrical equipment is greater than the fault level threshold, it means that the fault is more complicated and cannot be repaired by the existing maintenance equipment. In this case, maintenance equipment a reports the data to the command center, and professional technicians receive the order and perform maintenance. At this time, maintenance equipment a continues to inspect. If the fault level of the electrical equipment is not greater than the fault level threshold, it means that the fault is not so complicated and can be repaired by the existing maintenance equipment a, but the maintenance time is unknown at this time, so further judgment is made based on the maintenance time.

[0089] Step S5-2: If the fault level of the faulty electrical equipment is not greater than the fault level threshold, the maintenance device a repairs the faulty electrical equipment and records the actual maintenance time of the maintenance device a. , and set the first maintenance time threshold and the second maintenance time threshold For comparison, , specifically:

[0090] Step S5-3: If At this time, there is no need to allocate the workload of maintenance equipment a to other maintenance equipment, and no adjustment is made at this time.

[0091] Step S5-4: If , according to step S2 and step S4, all unmarked electrical equipment are re-divided into k electrical equipment sets, and the optimal inspection routes of the k maintenance equipment during the inspection process are re-determined.

[0092] If the actual maintenance time of maintenance equipment a is not less than the set first maintenance time threshold and is less than the set second maintenance time threshold, the remaining workload of maintenance equipment a is allocated to other maintenance equipment, that is, all the remaining unmarked electrical equipment is re-determined according to steps S2 and S4 for each maintenance equipment (including maintenance equipment a, so the number is k), and the equipment is repaired according to this step S5. The time when the optimal inspection route corresponding to the electrical equipment set of each maintenance equipment is re-determined is the time when maintenance equipment a repairs the faulty electrical equipment.

[0093] In this embodiment, the first maintenance time threshold is , the second maintenance time threshold is ,in, is the pre-operation time of the maintenance equipment a. The calculation formula is referred to step S4-1 and will not be repeated here. is the running time of maintenance equipment a, that is, The time from the start of maintenance of equipment a to the discovery of electrical equipment failure.

[0094] Step S5-5: If , except for the maintenance equipment a, all the unmarked electrical equipment are reclassified into k-1 electrical equipment sets according to step S2 and step S4, and the optimal inspection route of the k-1 maintenance equipment during the inspection process is re-determined.

[0095] It should be further explained that if the actual maintenance time of maintenance equipment a is not less than the set second maintenance time threshold, and the optimal inspection route corresponding to the electrical equipment set of each maintenance equipment has not been re-determined at this time, all remaining unmarked electrical equipment will be adjusted according to steps S2 and S4, and the electrical equipment set and optimal inspection route corresponding to each maintenance equipment (excluding maintenance equipment a at this time, so the number is k-1) will be adjusted, and the equipment maintenance will be performed according to step S5. The time when the optimal inspection route corresponding to the electrical equipment set of each maintenance equipment is re-determined is the time of the second maintenance time threshold.

[0096] At this point, the status of all electrical equipment can be obtained. The present invention uses the type and location of each electrical equipment, as well as the number of maintenance equipment, through clustering and finding the optimal path algorithm, and optimizes the inspection route of each maintenance equipment according to the maintenance situation, which saves time, improves data integrity, and can more efficiently find faulty electrical equipment, helping enterprises resume work and production as soon as possible and reduce economic losses.

[0097] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0098] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cloud computing-based transmission and distribution network resource management method, characterized in that: The following steps are involved: Step S1: construct a three-dimensional map model; obtain the location of each electrical device in the transmission and distribution network, and import the data of each electrical device into the three-dimensional map model; obtain the actual number of maintenance equipment, which is not greater than the number of electrical equipment; Step S2: The number of maintenance equipment is set to K, and each electrical equipment in the three-dimensional map model is divided into K electrical equipment sets, each maintenance equipment is used to inspect all electrical equipment in the corresponding electrical equipment set; determine the optimal inspection route for each maintenance equipment in the process of inspecting all electrical equipment in the corresponding electrical equipment set; Step S3: pre-acquire the detection time of each maintenance device after it detects each electrical device and the detection result is no fault in the actual detection process, and then obtain the average detection time of each electrical device; Step S4: According to the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment obtained in step S2, and the average inspection time of each electrical equipment obtained in step S3, the operating time characteristic parameters of each maintenance equipment are determined, and then the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment are adjusted; Step S4-1: According to the optimal inspection route of each maintenance equipment, the optimal inspection time of each maintenance equipment is obtained, and then the formula for calculating the operating time characteristic parameter of each maintenance equipment is: ， in, For the The operating time characteristic parameters of each maintenance equipment, Indicates the inspection time weight of the maintenance equipment. Indicates The optimal inspection time for each maintenance equipment, Indicates the inspection time weight of the maintenance equipment, Indicates The electrical equipment set corresponding to each maintenance equipment, express The first electrical equipment, is a constant, express The first Average inspection time of electrical equipment, Indicates the total number of equipment under maintenance; Step S4-2: Calculate the maintenance time variance based on the obtained operating time characteristic parameters of each maintenance equipment ,Will The time variance threshold is set For comparison; if , assign one or more electrical equipment in a certain electrical equipment set obtained in step S2 to its adjacent electrical equipment set, or assign one or more electrical equipment in an electrical equipment set adjacent to a certain electrical equipment set to the electrical equipment set, and then obtain the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment after adjustment according to step S2; if , stop adjusting; Step S4-3: According to the electrical equipment set and optimal inspection route corresponding to each maintenance equipment adjusted in step S4-2, repeat steps S4-1 and S4-2 until the optimal inspection route is met. stop; Step S5: Mark each electrical device that is found to be fault-free after detection; if a certain electrical device is found to be faulty after detection, judge the fault level and actual maintenance time of the electrical device, and then adjust the electrical device set and the optimal inspection route corresponding to each maintenance device.

2. The cloud computing-based transmission and distribution network resource management method according to claim 1, characterized in that: In step S2, the step of dividing each electrical device in the three-dimensional map model into K electrical device sets according to setting the number of maintenance equipment to K includes: Step S2-1: converting the three-dimensional map model into a three-dimensional coordinate system, taking the coordinate points corresponding to each electrical device in the three-dimensional coordinate system as the electrical device coordinate points, determining the respective maximum values ​​of the electrical device coordinate points on the horizontal axis, the vertical axis and the vertical axis, and obtaining the maximum value coordinate point, and then randomly selecting K feature coordinate points from the coordinate origin and the maximum value coordinate point; Step S2-2: Calculate the distance between each electrical equipment coordinate point and each characteristic coordinate point respectively, the formula is: ， in, For the The electrical equipment coordinate point and The distance between feature coordinate points, For the The horizontal axis coordinate value of the electrical equipment coordinate point, For the The horizontal axis coordinate value of the feature coordinate point, For the The vertical axis coordinate value of the electrical equipment coordinate point, For the The vertical axis coordinate value of the feature coordinate point, For the The vertical axis coordinate value of the electrical equipment coordinate point, For the The vertical axis coordinate value of the feature coordinate point; Step S2-3: According to step S2-2, a certain electrical equipment coordinate point and a characteristic coordinate point closest to the certain electrical equipment coordinate point are classified into one category, and then each electrical equipment coordinate point is divided into K sets, each set including a number of electrical equipment coordinate points and corresponding characteristic coordinate points; Step S2-4: According to the coordinate points of each electrical device in each set, the coordinates of the associated coordinate points in each set are determined as follows: ， in, For collection The coordinates of the associated coordinate points in , For collection The total number of electrical equipment coordinate points in For collection The The horizontal axis coordinate value of the electrical equipment coordinate point, For collection The The vertical axis coordinate value of the electrical equipment coordinate point, For collection The The vertical axis coordinate value of each electrical equipment coordinate point; Step S2-5: Calculate the distance between the characteristic coordinate points and the associated coordinate points in each set. If each distance is less than the set distance threshold, the calculation ends and the electrical equipment in the three-dimensional map model is divided into K electrical equipment sets; otherwise, the coordinates of each associated coordinate point are used as the coordinates of each corresponding characteristic coordinate point to obtain the coordinates of each new characteristic coordinate point, and repeat steps S2-2 to S2-5 until the distance between the characteristic coordinate points and the associated new coordinates in each set is less than the set distance threshold.

3. The cloud computing-based transmission and distribution network resource management method according to claim 2, characterized in that: In step S2, for each maintenance equipment, the optimal inspection route in the process of inspecting all electrical equipment in the corresponding electrical equipment set includes: obtaining all electrical equipment in the electrical equipment set corresponding to the maintenance equipment, inspecting all the electrical equipment once, and finding the inspection route with the shortest inspection path as the optimal inspection route.

4. The cloud computing-based transmission and distribution network resource management method according to claim 1, characterized in that: The formula for calculating the average detection time of each electrical device in step S3 is: ， in, It is Average inspection time of electrical equipment, is the number of equipment under maintenance, It is After the inspection of the maintenance equipment The inspection time after an electrical device is installed and the inspection result is no fault.

5. The cloud computing-based transmission and distribution network resource management method according to claim 4, characterized in that: Step S5 includes the following steps: Step S5-1: If the maintenance device determines that a certain electrical device is faulty after detecting the electrical device, the maintenance device is recorded as a. If the fault level of the faulty electrical device is greater than the fault level threshold, the maintenance device a reports the fault data and the maintenance device a continues to inspect; Step S5-2: If the fault level of the faulty electrical equipment is not greater than the fault level threshold, the maintenance device a repairs the faulty electrical equipment and records the actual maintenance time of the maintenance device a. , and set the first maintenance time threshold and the second maintenance time threshold For comparison, , specifically: Step S5-3: If , no adjustments are made at this time; Step S5-4: If , according to step S2 and step S4, all unmarked electrical equipment are reclassified into k electrical equipment sets, and the optimal inspection routes of the k maintenance equipment during the inspection process are re-determined; Step S5-5: If , except for the maintenance equipment a, all the unmarked electrical equipment are reclassified into k-1 electrical equipment sets according to step S2 and step S4, and the optimal inspection route of the k-1 maintenance equipment during the inspection process is re-determined.

6. A power transmission and distribution network resource management system for executing the power transmission and distribution network resource management method based on cloud computing as described in any one of claims 1 to 5, characterized in that: Includes the following modules: Data initialization module: used to construct a three-dimensional map model; obtain the location of each electrical equipment in the transmission and distribution network, and import the data of each electrical equipment into the three-dimensional map model; obtain the actual number of maintenance equipment, which is not greater than the number of electrical equipment; Optimal inspection route module: used to set the number of maintenance equipment to K, and divide each electrical equipment in the three-dimensional map model into K electrical equipment sets, each maintenance equipment is used to inspect all electrical equipment in the corresponding electrical equipment set; determine the optimal inspection route for each maintenance equipment in the process of inspecting all electrical equipment in the corresponding electrical equipment set; Average detection time module: used to pre-acquire the detection time of each maintenance equipment after it detects each electrical equipment and the detection result is fault-free during the actual detection process, and then obtain the average detection time of each electrical equipment; Equipment workload module: used to determine the operating time characteristic parameters of each maintenance equipment according to the electrical equipment set and optimal inspection route corresponding to each maintenance equipment obtained by the optimal inspection route module, and the average inspection time of each electrical equipment obtained by the average inspection time module, and then adjust the electrical equipment set and optimal inspection route corresponding to each maintenance equipment; Inspection route adjustment module: used to mark each electrical device that has been tested and found to be fault-free; If a certain electrical equipment fails after inspection, a judgment is made based on the fault level and actual maintenance time of the electrical equipment, and then the electrical equipment set and the optimal inspection route corresponding to each maintenance equipment are adjusted.

7. The transmission, transformation and distribution network resource management system according to claim 6, characterized in that: The optimal inspection route module includes an optimal inspection route unit, which is specifically used to obtain all electrical equipment in the electrical equipment set corresponding to the maintenance equipment, inspect all the electrical equipment once, and find the inspection route with the shortest inspection path as the optimal inspection route.

Images