Operation and maintenance method and system of integrated power test vehicle management system, and medium

Abstract

The invention relates to an operation and maintenance method and system of a comprehensive power test vehicle management system and a medium, and belongs to the technical field of power test vehicles. Historical service data information of a power test vehicle is acquired, and a fault prediction model is constructed according to the historical service data information of the power test vehicle; predicting the fault information of each power test vehicle through the fault prediction model, and finally redistributing the work distribution result of the power test vehicle according to the fault information of each power test vehicle, and obtaining the operation and maintenance result of the power test vehicle. And the operation and maintenance result based on the power test vehicle is transmitted to the power test vehicle control terminal through the comprehensive power test vehicle management system. According to the invention, the phenomenon of electromagnetic interference is fully considered in the operation process of the power test vehicle, so that work distribution is carried out on the power test vehicle through the comprehensive power test vehicle management system according to the condition of electromagnetic interference, and the work distribution of the power test vehicle is more reasonable.

Description

Technical Field

[0001] The present invention relates to the technical field of electric test vehicles, and in particular to an operation and maintenance method, system and medium of an integrated electric test vehicle management system. Background Art

[0002] The electric test vehicle is designed and developed according to the "DL / T596-1996 Preventive Test Procedure for Electric Power Equipment" and other equipment test requirements, for the handover test and periodic preventive test of electric power equipment in major substations across the country before commissioning. It is suitable for engineering handover tests and preventive tests in operation of high-voltage electrical equipment such as substations, railway traction substations, and switchgear installed and operated in industries such as electricity, railway electrification, metallurgy, and coal mining. This test vehicle provides new ideas and methods for equipment management, data management, data transmission, data security, report output, field test operation and control, and all test equipment in the vehicle can be tested without moving. This not only standardizes the management of test equipment, test process and data record analysis, but also greatly improves the efficiency of field tests, shortens the field test time, and reduces the economic losses caused by power outages. The electric test vehicle is an intelligent intensive electric test vehicle that uses digital monitoring and network communication. It is used in occasions with special requirements such as centralized testing, power outage repairs, etc. in power supply departments such as substations and power stations. The test vehicle has applied for multiple patents. It has been widely used in the power industry because it can be equipped with various configurations according to user requirements and can complete most power prevention test projects on site. In addition, all the test devices and equipment required are placed on a dedicated test vehicle, which can be directly transported to the test site and then transported back to the warehouse as a whole after the test, which is very convenient. However, nowadays, power test vehicles are susceptible to electromagnetic interference during the detection process, which may cause the data collected during the detection process to be unable to be collected, and may cause the collected data to be incomplete. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides an operation and maintenance method, system and medium for a comprehensive electric test vehicle management system.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides an operation and maintenance method of an integrated electric test vehicle management system, comprising the following steps:

[0006] Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the position of the electric power test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area;

[0007] Acquire the electromagnetic anti-interference capability data of the electric test vehicle, and initialize the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle;

[0008] Acquire historical service data information of the electric test vehicle, and build a fault prediction model based on the historical service data information of the electric test vehicle, and predict the fault information of each electric test vehicle through the fault prediction model;

[0009] The work distribution results of the electric test vehicle are reallocated according to the fault information of each electric test vehicle, and the operation and maintenance results of the electric test vehicle are obtained. The operation and maintenance results of the electric test vehicle are transmitted to the electric test vehicle control terminal through the comprehensive electric test vehicle management system.

[0010] Furthermore, in the present method, environmental data of the area to be repaired in the target area is obtained, and electromagnetic characteristic data of the area to be repaired in the target area is obtained according to the environmental data of the area to be repaired in the target area, specifically:

[0011] Obtain environmental data that affects electromagnetic signature data, and retrieve the attenuation ratio of electromagnetic data under different environmental data through big data. Introduce graph neural network, use environmental data as the first graph node and attenuation ratio as the second graph node.

[0012] Connecting the first graph node and the second graph node to construct a topology graph, obtaining an adjacency matrix by performing a matrix representation on the topology graph, constructing a database, inputting the adjacency matrix into the storage space of the database one by one, and configuring a query address;

[0013] Obtaining environmental data of the area to be repaired in the target area, inputting the environmental data of the area to be repaired in the target area into the database for data query, and obtaining the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area;

[0014] Acquire electromagnetic data of the area to be repaired, the location of the electric test vehicle during maintenance, and the location of the area to be repaired through an electromagnetic sensor, and calculate the Euclidean distance value according to the location of the electric test vehicle during maintenance and the location of the area to be repaired;

[0015] The electromagnetic characteristic data of the position of the electric power test vehicle in the target area to be repaired is calculated based on the Euclidean distance value, the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area, and the electromagnetic data of the area to be repaired.

[0016] Furthermore, in the present method, the electromagnetic anti-interference capability data of the electric test vehicle is obtained, and the work allocation result of the electric test vehicle is initialized according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle, specifically including:

[0017] Obtaining electromagnetic anti-interference capability data of the electric test vehicle, randomly selecting a combination of electric test vehicles, and randomly assigning them to each area to be repaired, and obtaining electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance;

[0018] Determine whether the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicle;

[0019] When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicles, the combination of the electric test vehicles is output, and work allocation is performed according to the combination of the electric test vehicles to generate a work allocation result for the electric test vehicles;

[0020] When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is not all smaller than the electromagnetic anti-interference capability data of the electric test vehicle, the combination of the electric test vehicles is reallocated.

[0021] Furthermore, in the present method, historical service data information of the electric test vehicle is obtained, and a fault prediction model is constructed according to the historical service data information of the electric test vehicle, specifically including:

[0022] Acquire historical service data information of the electric test vehicle, construct a training set based on the historical service data information of the electric test vehicle, construct a fault prediction model based on a deep neural network, and input the training set into the fault prediction model for training;

[0023] After the loss function of the fault prediction model converges to a preset value, the model parameters of the fault prediction model are saved, the training of the fault prediction model is completed, and the fault prediction model is output.

[0024] Furthermore, in this method, the fault information of each electric test vehicle is predicted by the fault prediction model, specifically:

[0025] Acquiring service data information of the electric test vehicle within a preset time, and inputting the service data information of the electric test vehicle within the preset time into the fault prediction model for fault prediction;

[0026] The fault time and fault type of each electric test vehicle are obtained through prediction, and the fault information of each electric test vehicle is generated according to the fault time and fault type of each electric test vehicle.

[0027] Furthermore, in the method, the work allocation result of the electric test vehicle is reallocated according to the fault information of each electric test vehicle to obtain the operation and maintenance result of the electric test vehicle, which specifically includes:

[0028] Obtain the maintenance type of each maintenance area, and construct a search tag according to the maintenance type of the maintenance area, and perform a search through big data based on the search tag to obtain the average maintenance time of each maintenance area;

[0029] Determine whether there is an electric test vehicle whose fault time in the fault information is equal to the average maintenance time in the maintenance area;

[0030] When there is an electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, the work allocation result of the electric test vehicle is reallocated, and the operation and maintenance result of the electric test vehicle is calculated based on the reallocated work allocation result;

[0031] When there is no electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, an operation and maintenance result of the electric test vehicle is generated based on the work allocation result of the electric test vehicle.

[0032] A second aspect of the present invention provides an operation and maintenance system of an integrated electric test vehicle management system, the system comprising a memory and a processor, the memory comprising an operation and maintenance method program of the integrated electric test vehicle management system, and when the operation and maintenance method program of the integrated electric test vehicle management system is executed by the processor, the following steps are implemented:

[0033] Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the position of the electric power test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area;

[0034] Acquire the electromagnetic anti-interference capability data of the electric test vehicle, and initialize the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle;

[0035] Acquire historical service data information of the electric test vehicle, and build a fault prediction model based on the historical service data information of the electric test vehicle, and predict the fault information of each electric test vehicle through the fault prediction model;

[0036] The work distribution results of the electric test vehicle are reallocated according to the fault information of each electric test vehicle, and the operation and maintenance results of the electric test vehicle are obtained. The operation and maintenance results of the electric test vehicle are transmitted to the electric test vehicle control terminal through the comprehensive electric test vehicle management system.

[0037] The third aspect of the present invention provides a computer-readable storage medium, which includes an operation and maintenance method program for an integrated electric test vehicle management system. When the operation and maintenance method program for the integrated electric test vehicle management system is executed by a processor, the steps of any one of the operation and maintenance methods for the integrated electric test vehicle management system are implemented.

[0038] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0039] The present invention obtains the environmental data of the area to be repaired in the target area, obtains the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area, and then obtains the electromagnetic anti-interference ability data of the electric test vehicle, and initializes the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference ability data of the electric test vehicle, thereby obtaining the historical service data information of the electric test vehicle, and constructing a fault prediction model according to the historical service data information of the electric test vehicle, predicting the fault information of each electric test vehicle through the fault prediction model, and finally reallocating the work allocation result of the electric test vehicle according to the fault information of each electric test vehicle, obtaining the operation and maintenance results of the electric test vehicle, and transmitting the operation and maintenance results of the electric test vehicle to the electric test vehicle control terminal through the comprehensive electric test vehicle management system. The present invention fully considers the phenomenon of electromagnetic interference during the operation of the electric test vehicle, so that the work allocation of the electric test vehicle is performed through the comprehensive electric test vehicle management system according to the electromagnetic interference situation, so that the work allocation of the electric test vehicle is more reasonable. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0041] Figure 1 The overall method flow chart of the operation and maintenance method of the integrated electric test vehicle management system is shown;

[0042] Figure 2A first method flow chart of the operation and maintenance method of the integrated electric test vehicle management system is shown;

[0043] Figure 3 A second method flow chart of the operation and maintenance method of the integrated electric test vehicle management system is shown;

[0044] Figure 4 The system block diagram of the operation and maintenance system of the comprehensive electric test vehicle management system is shown. DETAILED DESCRIPTION

[0045] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0046] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0047] like Figure 1 As shown, the first aspect of the present invention provides an operation and maintenance method of an integrated electric test vehicle management system, comprising the following steps:

[0048] S102: Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the position of the electric power test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area;

[0049] S104: Acquire the electromagnetic anti-interference capability data of the electric test vehicle, and initialize the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle;

[0050] S106: Acquire historical service data information of the electric test vehicle, and construct a fault prediction model according to the historical service data information of the electric test vehicle, and predict the fault information of each electric test vehicle by using the fault prediction model;

[0051] S108: Re-allocate the work allocation results of the electric test vehicle according to the fault information of each electric test vehicle, obtain the operation and maintenance results of the electric test vehicle, and transmit the operation and maintenance results of the electric test vehicle to the electric test vehicle control terminal through the comprehensive electric test vehicle management system.

[0052] It should be noted that the present invention fully considers the phenomenon of electromagnetic interference during the operation of the electric test vehicle, and thus distributes the work of the electric test vehicle through the comprehensive electric test vehicle management system according to the electromagnetic interference situation, making the work distribution of the electric test vehicle more reasonable.

[0053] Furthermore, in the present method, environmental data of the area to be repaired in the target area is obtained, and electromagnetic characteristic data of the area to be repaired in the target area is obtained according to the environmental data of the area to be repaired in the target area, specifically:

[0054] Obtain environmental data that affects electromagnetic signature data, and retrieve the attenuation ratio of electromagnetic data under different environmental data through big data. Introduce graph neural network, use environmental data as the first graph node and attenuation ratio as the second graph node.

[0055] Connecting the first graph node and the second graph node to construct a topology graph, obtaining an adjacency matrix by performing a matrix representation on the topology graph, constructing a database, inputting the adjacency matrix into the storage space of the database one by one, and configuring a query address;

[0056] Obtaining environmental data of the area to be repaired in the target area, inputting the environmental data of the area to be repaired in the target area into the database for data query, and obtaining the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area;

[0057] Acquire electromagnetic data of the area to be repaired, the location of the electric test vehicle during maintenance, and the location of the area to be repaired through an electromagnetic sensor, and calculate the Euclidean distance value according to the location of the electric test vehicle during maintenance and the location of the area to be repaired;

[0058] The electromagnetic characteristic data of the position of the electric power test vehicle in the target area to be repaired is calculated based on the Euclidean distance value, the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area, and the electromagnetic data of the area to be repaired.

[0059] It should be noted that since the electric test vehicle often needs to collect data in the maintenance area, different environmental data (temperature, humidity, visibility, etc.) will affect the transmission of electromagnetic waves, causing delays or interference in the collected data. Under the environmental data, the larger the Euclidean distance value, the greater the attenuation ratio, which makes the collected data abnormal. This method can calculate the electromagnetic characteristic data of the location of the electric test vehicle in the target area to be repaired, where the attenuation ratio ranges from 0 to 1. The worse the environmental data, the greater the attenuation ratio, so that the interference electromagnetic wave data at the location of the electric test vehicle during maintenance can be predicted more accurately. Electromagnetic data includes data such as the type, wavelength, and frequency of electromagnetic waves.

[0060] like Figure 2 As shown, further, in this method, the electromagnetic anti-interference capability data of the electric test vehicle is obtained, and the work allocation result of the electric test vehicle is initialized according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle, specifically including:

[0061] S202: Acquire electromagnetic anti-interference capability data of the electric test vehicle, randomly select a combination of electric test vehicles, and randomly assign them to each area to be repaired, and acquire electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance;

[0062] S204: Determine whether the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicle;

[0063] S206: When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicle, the combination of the electric test vehicles is output, and work allocation is performed according to the combination of the electric test vehicles to generate a work allocation result for the electric test vehicles;

[0064] S208: When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance is not all smaller than the electromagnetic anti-interference capability data of the electric test vehicle, the combination of electric test vehicles is reallocated.

[0065] It should be noted that when the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is maintained is less than the electromagnetic anti-interference capability data of the electric test vehicle, the rationality of the work allocation of the electric test vehicles can be improved by optimizing the genetic algorithm. The electromagnetic anti-interference capability data includes the anti-interference electromagnetic wave wavelength, the anti-electromagnetic wave type, etc.

[0066] Furthermore, in the present method, historical service data information of the electric test vehicle is obtained, and a fault prediction model is constructed according to the historical service data information of the electric test vehicle, specifically including:

[0067] Acquire historical service data information of the electric test vehicle, construct a training set based on the historical service data information of the electric test vehicle, construct a fault prediction model based on a deep neural network, and input the training set into the fault prediction model for training;

[0068] After the loss function of the fault prediction model converges to a preset value, the model parameters of the fault prediction model are saved, the training of the fault prediction model is completed, and the fault prediction model is output.

[0069] Furthermore, in this method, the fault information of each electric test vehicle is predicted by the fault prediction model, specifically:

[0070] Acquiring service data information of the electric test vehicle within a preset time, and inputting the service data information of the electric test vehicle within the preset time into the fault prediction model for fault prediction;

[0071] The fault time and fault type of each electric test vehicle are obtained through prediction, and the fault information of each electric test vehicle is generated according to the fault time and fault type of each electric test vehicle.

[0072] It should be noted that deep neural networks include recursive neural networks, BP neural networks, convolutional neural networks, etc.

[0073] like Figure 3 As shown, further, in this method, the work allocation result of the electric test vehicle is reallocated according to the fault information of each electric test vehicle to obtain the operation and maintenance result of the electric test vehicle, which specifically includes:

[0074] S302: Obtain the maintenance type of each maintenance area, and construct a search tag according to the maintenance type of the maintenance area, and perform a search through big data based on the search tag to obtain the average maintenance time of each maintenance area;

[0075] S304: Determine whether there is an electric test vehicle whose fault time in the fault information is the average maintenance time in the maintenance area;

[0076] S306: When there is an electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, the work allocation result of the electric test vehicle is reallocated, and the operation and maintenance result of the electric test vehicle is calculated based on the reallocated work allocation result;

[0077] S308: When there is no electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, generating an operation and maintenance result of the electric test vehicle based on the work allocation result of the electric test vehicle.

[0078] It should be noted that this method can improve the rationality of the work allocation of the electric test vehicle.

[0079] like Figure 4As shown, the second aspect of the present invention provides an operation and maintenance system 4 of an integrated electric test vehicle management system, the system 4 includes a memory 41 and a processor 42, the memory 41 includes an operation and maintenance method program of the integrated electric test vehicle management system, and when the operation and maintenance method program of the integrated electric test vehicle management system is executed by the processor 42, the following steps are implemented:

[0080] Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the position of the electric power test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area;

[0081] Acquire the electromagnetic anti-interference capability data of the electric test vehicle, and initialize the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle;

[0082] Acquire historical service data information of the electric test vehicle, and build a fault prediction model based on the historical service data information of the electric test vehicle, and predict the fault information of each electric test vehicle through the fault prediction model;

[0083] The work distribution results of the electric test vehicle are reallocated according to the fault information of each electric test vehicle, and the operation and maintenance results of the electric test vehicle are obtained. The operation and maintenance results of the electric test vehicle are transmitted to the electric test vehicle control terminal through the comprehensive electric test vehicle management system.

[0084] Further, in the present system, environmental data of the area to be repaired in the target area is obtained, and electromagnetic characteristic data of the area to be repaired in the target area is obtained according to the environmental data of the area to be repaired in the target area, specifically:

[0085] Obtain environmental data that affects electromagnetic signature data, and retrieve the attenuation ratio of electromagnetic data under different environmental data through big data. Introduce graph neural network, use environmental data as the first graph node and attenuation ratio as the second graph node.

[0086] Connecting the first graph node and the second graph node to construct a topology graph, obtaining an adjacency matrix by performing a matrix representation on the topology graph, constructing a database, inputting the adjacency matrix into the storage space of the database one by one, and configuring a query address;

[0087] Obtaining environmental data of the area to be repaired in the target area, inputting the environmental data of the area to be repaired in the target area into the database for data query, and obtaining the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area;

[0088] Acquire electromagnetic data of the area to be repaired, the location of the electric test vehicle during maintenance, and the location of the area to be repaired through an electromagnetic sensor, and calculate the Euclidean distance value according to the location of the electric test vehicle during maintenance and the location of the area to be repaired;

[0089] The electromagnetic characteristic data of the position of the electric power test vehicle in the target area to be repaired is calculated based on the Euclidean distance value, the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area, and the electromagnetic data of the area to be repaired.

[0090] Furthermore, in the present system, the electromagnetic anti-interference capability data of the electric test vehicle is obtained, and the work allocation result of the electric test vehicle is initialized according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle, specifically including:

[0091] Introducing a genetic algorithm, and setting a genetic algebra based on the genetic algorithm, obtaining electromagnetic anti-interference capability data of the electric test vehicle, randomly selecting a combination of electric test vehicles, and randomly assigning each area to be repaired, and obtaining electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance;

[0092] Determine whether the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicle;

[0093] When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicles, the combination of the electric test vehicles is output, and work allocation is performed according to the combination of the electric test vehicles to generate a work allocation result for the electric test vehicles;

[0094] When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is not all smaller than the electromagnetic anti-interference capability data of the electric test vehicle, the combination of the electric test vehicles is reallocated.

[0095] Furthermore, in the system, historical service data information of the electric test vehicle is obtained, and a fault prediction model is constructed according to the historical service data information of the electric test vehicle, specifically including:

[0096] Acquire historical service data information of the electric test vehicle, construct a training set based on the historical service data information of the electric test vehicle, construct a fault prediction model based on a deep neural network, and input the training set into the fault prediction model for training;

[0097] After the loss function of the fault prediction model converges to a preset value, the model parameters of the fault prediction model are saved, the training of the fault prediction model is completed, and the fault prediction model is output.

[0098] Furthermore, in this system, the fault information of each electric test vehicle is predicted by the fault prediction model, specifically:

[0099] Acquiring service data information of the electric test vehicle within a preset time, and inputting the service data information of the electric test vehicle within the preset time into the fault prediction model for fault prediction;

[0100] The fault time and fault type of each electric test vehicle are obtained through prediction, and the fault information of each electric test vehicle is generated according to the fault time and fault type of each electric test vehicle.

[0101] Furthermore, in the system, the work allocation result of the electric test vehicle is reallocated according to the fault information of each electric test vehicle to obtain the operation and maintenance result of the electric test vehicle, which specifically includes:

[0102] Obtain the maintenance type of each maintenance area, and construct a search tag according to the maintenance type of the maintenance area, and perform a search through big data based on the search tag to obtain the average maintenance time of each maintenance area;

[0103] Determine whether there is an electric test vehicle whose fault time in the fault information is equal to the average maintenance time in the maintenance area;

[0104] When there is an electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, the work allocation result of the electric test vehicle is reallocated, and the operation and maintenance result of the electric test vehicle is calculated based on the reallocated work allocation result;

[0105] When there is no electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, an operation and maintenance result of the electric test vehicle is generated based on the work allocation result of the electric test vehicle.

[0106] The third aspect of the present invention provides a computer-readable storage medium, which includes an operation and maintenance method program for an integrated electric test vehicle management system. When the operation and maintenance method program for the integrated electric test vehicle management system is executed by a processor, the steps of any one of the operation and maintenance methods for the integrated electric test vehicle management system are implemented.

[0107] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0108] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0109] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0110] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0111] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0112] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An operation and maintenance method for a comprehensive electric test vehicle management system, characterized in that: The following steps are involved: Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the position of the electric power test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area; Acquire the electromagnetic anti-interference capability data of the electric test vehicle, and initialize the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle; Acquire historical service data information of the electric test vehicle, and build a fault prediction model based on the historical service data information of the electric test vehicle, and predict the fault information of each electric test vehicle through the fault prediction model; The work distribution results of the electric test vehicle are reallocated according to the fault information of each electric test vehicle, and the operation and maintenance results of the electric test vehicle are obtained. The operation and maintenance results of the electric test vehicle are transmitted to the electric test vehicle control terminal through the comprehensive electric test vehicle management system.

2. The operation and maintenance method of a comprehensive electric test vehicle management system according to claim 1 is characterized in that: Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area, specifically: Obtain environmental data that affects electromagnetic signature data, and retrieve the attenuation ratio of electromagnetic data under different environmental data through big data. Introduce graph neural network, use environmental data as the first graph node and attenuation ratio as the second graph node. Connecting the first graph node and the second graph node to construct a topology graph, obtaining an adjacency matrix by performing matrix representation on the topology graph, constructing a database, inputting the adjacency matrix into the storage space of the database one by one, and configuring a query address; Acquire environmental data of the area to be repaired in the target area, input the environmental data of the area to be repaired in the target area into the database for data query, and acquire the attenuation ratio of electromagnetic data under the environmental data of the area to be repaired in the target area; Acquire electromagnetic data of the area to be repaired, the location of the electric test vehicle during maintenance, and the location of the area to be repaired through an electromagnetic sensor, and calculate the Euclidean distance value according to the location of the electric test vehicle during maintenance and the location of the area to be repaired; The electromagnetic characteristic data of the position of the electric test vehicle in the area to be repaired in the target area is calculated based on the Euclidean distance value, the attenuation ratio of the electromagnetic data under the environmental data of the area to be repaired in the target area, and the electromagnetic data of the area to be repaired.

3. The operation and maintenance method of a comprehensive electric test vehicle management system according to claim 1 is characterized in that: The electromagnetic anti-interference capability data of the electric test vehicle is obtained, and the work allocation result of the electric test vehicle is initialized according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle, specifically including: Acquire the electromagnetic anti-interference capability data of the electric test vehicle, randomly select a combination of electric test vehicles, and randomly assign them to each area to be repaired, and obtain the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance; Determine whether the electromagnetic characteristic data of the location where each electric test vehicle in the combination of electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicle; When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is less than the electromagnetic anti-interference capability data of the electric test vehicles, the combination of the electric test vehicles is output, and work allocation is performed according to the combination of the electric test vehicles to generate a work allocation result for the electric test vehicles; When the electromagnetic characteristic data of the location where each electric test vehicle in the combination of the electric test vehicles is located during maintenance is not all smaller than the electromagnetic anti-interference capability data of the electric test vehicle, the combination of the electric test vehicles is reallocated.

4. The operation and maintenance method of a comprehensive electric test vehicle management system according to claim 1 is characterized in that: Acquiring historical service data information of the electric test vehicle and building a fault prediction model based on the historical service data information of the electric test vehicle, specifically including: Acquire historical service data information of the electric test vehicle, construct a training set based on the historical service data information of the electric test vehicle, construct a fault prediction model based on a deep neural network, and input the training set into the fault prediction model for training; After the loss function of the fault prediction model converges to a preset value, the model parameters of the fault prediction model are saved, the training of the fault prediction model is completed, and the fault prediction model is output.

5. The operation and maintenance method of a comprehensive electric test vehicle management system according to claim 1 is characterized in that: The fault prediction model is used to predict the fault information of each electric test vehicle, specifically: Acquiring service data information of the electric test vehicle within a preset time, and inputting the service data information of the electric test vehicle within the preset time into the fault prediction model for fault prediction; The fault time and fault type of each electric test vehicle are obtained through prediction, and the fault information of each electric test vehicle is generated according to the fault time and fault type of each electric test vehicle.

6. The operation and maintenance method of a comprehensive electric test vehicle management system according to claim 1, characterized in that: The work distribution result of the electric test vehicle is reallocated according to the fault information of each electric test vehicle to obtain the operation and maintenance result of the electric test vehicle, specifically including: Obtain the maintenance type of each maintenance area, and construct a search tag according to the maintenance type of the maintenance area, and perform a search through big data based on the search tag to obtain the average maintenance time of each maintenance area; Determine whether there is an electric test vehicle whose fault time in the fault information is equal to the average maintenance time in the maintenance area; When there is an electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, the work allocation result of the electric test vehicle is reallocated, and the operation and maintenance result of the electric test vehicle is calculated based on the reallocated work allocation result; When there is no electric test vehicle whose fault time in the fault information is within the average maintenance time of the maintenance area, an operation and maintenance result of the electric test vehicle is generated based on the work allocation result of the electric test vehicle.

7. An operation and maintenance system for a comprehensive electric test vehicle management system, characterized in that: The system includes a memory and a processor. The memory includes an operation and maintenance method program of the integrated electric test vehicle management system. When the operation and maintenance method program of the integrated electric test vehicle management system is executed by the processor, the following steps are implemented: Acquire environmental data of the area to be repaired in the target area, and acquire electromagnetic characteristic data of the position of the electric power test vehicle in the area to be repaired in the target area according to the environmental data of the area to be repaired in the target area; Acquire the electromagnetic anti-interference capability data of the electric test vehicle, and initialize the work allocation result of the electric test vehicle according to the electromagnetic characteristic data of the location of the electric test vehicle in the area to be repaired in the target area and the electromagnetic anti-interference capability data of the electric test vehicle; Acquire historical service data information of the electric test vehicle, and build a fault prediction model based on the historical service data information of the electric test vehicle, and predict the fault information of each electric test vehicle through the fault prediction model; The work distribution results of the electric test vehicle are reallocated according to the fault information of each electric test vehicle, and the operation and maintenance results of the electric test vehicle are obtained. The operation and maintenance results of the electric test vehicle are transmitted to the electric test vehicle control terminal through the comprehensive electric test vehicle management system.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an operation and maintenance method program of the integrated electric test vehicle management system. When the operation and maintenance method program of the integrated electric test vehicle management system is executed by the processor, the steps of the operation and maintenance method of the integrated electric test vehicle management system as described in any one of claims 1-6 are implemented.

Images