Power equipment inspection method, system and terminal

Abstract

The invention relates to the technical field of equipment inspection, in particular to an electrical equipment inspection method, system and terminal, and the method comprises the steps: carrying out the inspection analysis based on an electrical equipment set, and determining the inspection demand corresponding to each piece of electrical equipment; then, based on the historical inspection plan, the power equipment set and the inspection demand corresponding to each power equipment, inspection equipment screening is carried out, and to-be-inspected power equipment is determined; and performing inspection planning based on the inspection demand corresponding to each piece of to-be-inspected power equipment to obtain a current inspection plan. And then fault detection is carried out based on the inspection data, a fault detection result is determined, fault prediction is carried out based on the inspection data, a fault prediction result is obtained, and fault prediction operation is executed so that maintenance measures can be taken before the equipment breaks down, potential problems can be found and solved in time, and the power supply stability of the power system can be improved. And finally, performing fault maintenance analysis based on the fault detection result and the fault prediction result, and determining fault maintenance information.

Description

Technical Field

[0001] This application relates to the technical field of equipment inspection, and particularly to a power equipment inspection method, system and terminal. Background Art

[0002] In the power industry, the safe and stable operation of power equipment is a key factor to ensure the reliability and continuity of power grid power supply. Traditional power equipment inspection methods mainly rely on manual inspection, that is, inspection personnel inspect power equipment through visual observation, manual measurement, etc. However, with the expansion of the power grid scale and the increase in power equipment, traditional inspection methods have gradually revealed disadvantages such as low efficiency, easy to make mistakes, and difficult to monitor in real time.

[0003] In recent years, with the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, intelligent inspection methods have gradually become possible. Intelligent inspection methods can monitor the operation status of equipment in real time through devices such as sensors and cameras, and analyze and process data through algorithms to achieve intelligent inspection and fault warning of equipment. However, the inspection methods in the prior art can only give early warnings for faults that have occurred. At this time, the equipment faults have already had a certain impact on the stability of the power system. This lagging response will lead to untimely handling of equipment faults and affect the power supply stability of the power system.

[0004] Therefore, how to improve the power supply stability of the power system is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a power equipment inspection method, system and terminal to solve at least one of the above technical problems.

[0006] The above invention purpose of this application is achieved through the following technical solutions: In the first aspect, this application provides a power equipment inspection method, adopting the following technical solution: A power equipment inspection method includes: Obtain a set of power equipment, perform inspection analysis based on the set of power equipment, and determine the inspection requirements corresponding to each power equipment, where the inspection requirements include: inspection dimensions and inspection frequencies; Obtain a historical inspection plan, perform inspection equipment screening based on the historical inspection plan, the set of power equipment, and the inspection requirements corresponding to each power equipment, and determine the power equipment to be inspected, where the power equipment to be inspected is the power equipment selected for this inspection from the set of power equipment; Based on the inspection requirements corresponding to each power device to be inspected, an inspection plan is formulated to obtain the current inspection plan, where the current inspection plan includes: inspection route, inspection content, and inspection personnel; and the current inspection plan is sent to the handheld terminal of the inspection personnel. Obtain the inspection data returned by the handheld terminal, perform fault detection based on the inspection data to determine the fault detection result, perform fault prediction based on the inspection data to obtain the fault prediction result, and perform fault repair analysis based on the fault detection result and the fault prediction result to determine the fault repair information.

[0007] By adopting the above technical solution, inspection analysis is carried out based on the power device set to determine the inspection requirements corresponding to each power device, where the inspection requirements include: inspection dimension and inspection frequency. Then, based on the historical inspection plan, the power device set, and the inspection requirements corresponding to each power device, the inspection devices are screened to determine the power devices to be inspected, and the power devices to be inspected are the power devices selected from the power device set for this inspection. Furthermore, based on the inspection requirements corresponding to each power device to be inspected, an inspection plan is formulated to obtain the current inspection plan, and the current inspection plan is sent to the handheld terminal of the inspection personnel. Furthermore, fault detection is carried out based on the inspection data to determine the fault detection result. The power device inspection terminal realizes automatic and intelligent fault detection based on the inspection data, without the need for inspection personnel to judge whether there is a fault in the power device by visual observation and manual measurement, which greatly reduces the work burden of the inspection personnel and improves the inspection efficiency. Fault prediction is carried out based on the inspection data to obtain the fault prediction result, and the fault prediction operation is executed to take maintenance measures before the device fails, avoid sudden shutdown or damage of the power device, timely discover and solve potential problems, and improve the power supply stability of the power system. Finally, fault repair analysis is carried out based on the fault detection result and the fault prediction result to determine the fault repair information.

[0008] In a preferred example of the present application, it can be further configured that: the performing fault prediction based on the inspection data to obtain the fault prediction result includes: Performing power device status prediction based on the inspection data to obtain estimated inspection data, where the estimated inspection data includes: estimated temperature data, estimated vibration data, and estimated sound data; Performing overheating fault prediction based on the estimated temperature data to determine the overheating fault prediction result; Performing vibration fault prediction based on the estimated vibration data to determine the vibration fault prediction result; Performing sound fault prediction based on the estimated sound data to determine the sound fault prediction result; Combining the above-mentioned temperature rise fault prediction results, the vibration fault prediction results, and the sound fault prediction results to obtain the fault prediction result.

[0009] In a preferred example, the present application can be further configured as follows: after performing the power equipment status prediction based on the inspection data and obtaining the estimated inspection data, it further includes: Obtaining three-dimensional modeling data corresponding to the power system, and constructing a model based on the three-dimensional modeling data to obtain a three-dimensional model of the power system; Constructing a temperature layer based on the estimated temperature data to obtain a temperature layer, constructing a vibration layer based on the estimated vibration data to obtain a vibration layer, and constructing a sound layer based on the estimated sound data to obtain a sound layer; Overlaying the temperature layer, the vibration layer, and the sound layer onto the three-dimensional model of the power system, so as to visually display the estimated status of each power equipment.

[0010] In a preferred example, the present application can be further configured as follows: the overlaying the temperature layer, the vibration layer, and the sound layer onto the three-dimensional model of the power system includes: When a layer overlay instruction carrying layer information is detected, for any target power equipment in the three-dimensional model of the power system, performing a display layer priority analysis based on the target power equipment to determine the layer priority order; Based on the layer priority order corresponding to each target power equipment and the layer information in the layer overlay instruction, selecting the power equipment with the layer to be overlaid from the three-dimensional model of the power system; According to the layer overlay instruction, overlaying the temperature layer, the vibration layer, and the sound layer onto the power equipment with the layer to be overlaid in the three-dimensional model of the power system, so that the layer overlay meets the selected requirements and presents the priority.

[0011] In a preferred example, the present application can be further configured as follows: the performing the inspection analysis based on the power equipment set to determine the inspection requirements corresponding to each power equipment includes: Performing a hierarchical inspection method based on the power equipment set to determine the initial inspection requirements corresponding to each power equipment; Obtaining historical inspection data, and performing auxiliary inspection analysis based on the historical inspection data to determine the auxiliary inspection requirements, where the auxiliary inspection requirements are used to perform auxiliary inspections on equipment with historical anomalies; Combining the auxiliary inspection requirements and the initial inspection requirements corresponding to each power equipment to determine the inspection requirements corresponding to each power equipment.

[0012] In a preferred example, the present application can be further configured as follows: performing fault repair analysis based on the fault detection result and the fault prediction result to determine fault repair information, including: Performing fault repair analysis based on the fault detection result to determine the first fault repair information; Performing predicted fault repair analysis based on the fault prediction result to determine the second fault repair information; Performing repair ranking based on the first fault repair information and the second fault repair information to determine the fault repair information.

[0013] In a second aspect, the present application provides a power equipment inspection system, adopting the following technical solution: An inspection analysis module, configured to obtain a set of power equipment, perform inspection analysis based on the set of power equipment, and determine the inspection requirements corresponding to each power equipment, where the inspection requirements include: inspection dimensions and inspection frequencies; An inspection equipment screening module, configured to obtain a historical inspection plan, perform inspection equipment screening based on the historical inspection plan, the set of power equipment, and the inspection requirements corresponding to each power equipment, and determine the power equipment to be inspected, where the power equipment to be inspected is the power equipment selected from the set of power equipment for the current inspection; An inspection planning module, configured to perform inspection planning based on the inspection requirements corresponding to each power equipment to be inspected to obtain the current inspection plan, where the current inspection plan includes: inspection routes, inspection contents, and inspection personnel; and send the current inspection plan to the handheld terminals of the inspection personnel; A fault repair analysis module, configured to obtain the inspection data returned by the handheld terminals, perform fault detection based on the inspection data to determine a fault detection result, perform fault prediction based on the inspection data to obtain a fault prediction result, and perform fault repair analysis based on the fault detection result and the fault prediction result to determine fault repair information.

[0014] In a third aspect, the present application provides a power equipment inspection terminal, adopting the following technical solution: At least one processor; A memory; At least one application program, where at least one application program is stored in the memory and is configured to be executed by at least one processor, and the at least one application program is configured to: execute the above-mentioned power equipment inspection method.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium, adopting the following technical solution: A computer-readable storage medium stores a computer program thereon. When the computer program is executed on a computer, the computer is made to execute the power equipment inspection method described above.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: Based on the power equipment set, inspection analysis is carried out to determine the inspection requirements corresponding to each power equipment. Among them, the inspection requirements include: inspection dimensions and inspection frequencies. Then, based on the historical inspection plan, the power equipment set, and the inspection requirements corresponding to each power equipment, inspection equipment screening is carried out to determine the power equipment to be inspected. The power equipment to be inspected is the power equipment selected from the power equipment set for this inspection. Furthermore, based on the inspection requirements corresponding to each power equipment to be inspected, an inspection plan is made to obtain the current inspection plan, and the current inspection plan is sent to the handheld terminal of the inspector. Furthermore, based on the inspection data, fault detection is carried out to determine the fault detection result. The power equipment inspection terminal realizes automated and intelligent fault detection based on the inspection data, without the inspector having to judge whether there is a fault in the power equipment through visual observation and manual measurement, greatly reducing the work burden of the inspector and improving the inspection efficiency. Based on the inspection data, fault prediction is carried out to obtain the fault prediction result, and a fault prediction operation is performed to take maintenance measures before the equipment fails, avoiding sudden shutdown or damage of the power equipment, timely discovering and solving potential problems, and improving the power supply stability of the power system. Finally, based on the fault detection result and the fault prediction result, fault repair analysis is carried out to determine the fault repair information.

[0017] A fault prediction operation is performed to take maintenance measures before the equipment fails, avoiding sudden shutdown or damage of the power equipment, timely discovering and solving potential problems, and improving the power supply stability of the power system. Therefore, based on the inspection data, the state of the power equipment is predicted to obtain the estimated inspection data. Then, based on the estimated temperature data, overheating fault prediction is carried out to determine the overheating fault prediction result. Based on the estimated vibration data, vibration fault prediction is carried out to determine the vibration fault prediction result. And based on the estimated sound data, sound fault prediction is carried out to determine the sound fault prediction result. Finally, by synthesizing the overheating fault prediction result, the vibration fault prediction result, and the sound fault prediction result, the fault prediction result is obtained. Description of the Drawings

[0018] Figure 1 is a flowchart of a power equipment inspection method according to an embodiment of the present application; Figure 2 is a structural diagram of a power equipment inspection system according to an embodiment of the present application; Figure 3 is a structural diagram of a power equipment inspection terminal according to an embodiment of the present application. Detailed implementation manners

[0019] The following is a further detailed description of the present application in conjunction with Figures 1 to 3 the following.

[0020] This specific embodiment is only an interpretation of the present application, and it does not limit the present application. After reading this specification, those skilled in the art can make modifications to this embodiment without creative contributions as needed, but as long as it is within the scope of the present application, it is protected by the patent law.

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without making creative efforts belong to the scope of protection of the present application. It should be noted that in the alternative embodiments of the present application, for relevant data such as object information, when the embodiments in the present application are applied to specific products or technologies, permission or consent from the object needs to be obtained, and the collection, use, and processing of the relevant data need to comply with the relevant laws, regulations, and standards of the relevant countries and regions. That is to say, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant department, and in compliance with the relevant laws, regulations, and standards of the relevant countries and regions. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiments also need to be implemented with the authorization and consent of the object.

[0022] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after, unless otherwise specified.

[0023] The following further describes the embodiments of the present application in conjunction with the accompanying drawings of the specification.

[0024] The embodiment of the present application provides a power equipment inspection method, which is executed by a power equipment inspection terminal. As Figure 1 shown, the method includes step S101, step S102, step S103, and step S104, where: Step S101: Obtain a set of power equipment, perform inspection analysis based on the set of power equipment, and determine the inspection requirements corresponding to each power equipment. Among them, the inspection requirements include: inspection dimensions and inspection frequencies.

[0025] For the embodiments of the present application, power equipment is a core component of the power system, and its operating status directly affects the stability and security of the power system. By regularly inspecting power equipment, equipment failures and potential hazards can be detected in a timely manner, the expansion of failures can be avoided, and the safe and stable operation of the power system can be ensured. Therefore, a set of power equipment is obtained, which records the relevant information of all power equipment in the power system, that is, it records the equipment name, equipment type, equipment location, model specifications, factory date, inspection records, etc. of each power equipment. Then, based on various factors such as equipment type, importance, operating environment, and maintenance records in the set of power equipment, the corresponding inspection dimensions and inspection frequencies are selected for each power equipment, that is, the inspection requirements and inspection focuses of each power equipment are clarified, unnecessary inspection work is reduced, and the inspection efficiency is improved.

[0026] There are various specific implementation methods for inspection analysis, which are not limited in the embodiments of the present application. In one feasible method, a hierarchical inspection method is performed based on the set of power equipment to determine the initial inspection requirements corresponding to each power equipment; historical inspection data is obtained, and auxiliary inspection analysis is performed based on the historical inspection data to determine the auxiliary inspection requirements, where the auxiliary inspection requirements are used to perform auxiliary inspections on equipment with historical anomalies; the initial inspection requirements and the initial inspection requirements corresponding to each power equipment are combined to determine the inspection requirements corresponding to each power equipment. The above inspection analysis method helps to strengthen the inspection of key power equipment, where the key power equipment refers to the power equipment that is important in the power system or has a maintenance record that requires key inspection and monitoring.

[0027] Step S102: Obtain the historical inspection plan, and screen the inspection equipment based on the historical inspection plan, the set of power equipment, and the inspection requirements corresponding to each power equipment to determine the power equipment to be inspected, where the power equipment to be inspected is the power equipment selected from the set of power equipment for this inspection.

[0028] For the embodiments of the present application, each inspection plan is pre-stored in the power equipment inspection terminal. The historical inspection plan records the inspection records corresponding to each power equipment, and the inspection records detail the inspection content, inspection time, and inspection results of each inspection. Then, based on the historical inspection plan, the set of power equipment, and the inspection requirements corresponding to each power equipment, inspection equipment is screened to determine the power equipment to be inspected, which is the power equipment selected from the set of power equipment for the current inspection. That is, when performing the screening of inspection equipment, for each power equipment in the set of power equipment, the time interval between the current date and the previous inspection date is calculated, and based on the time interval and the inspection frequency corresponding to the power equipment, the inspection equipment is screened to determine the power equipment to be inspected, which is the equipment that has reached the maintenance cycle selected from all power equipment.

[0029] Step S103: Based on the inspection requirements corresponding to each power equipment to be inspected, an inspection plan is made to obtain the current inspection plan. The current inspection plan includes: inspection route, inspection content, and inspection personnel; and the current inspection plan is sent to the handheld terminal of the inspection personnel.

[0030] For the embodiments of the present application, based on the equipment locations of each power equipment to be inspected, the distribution of the power equipment to be inspected is clarified. Then, using a path optimization algorithm (e.g., the shortest path algorithm), path planning is performed on the equipment locations of each power equipment to be inspected to obtain an inspection route that should cover all the equipment that needs to be inspected and minimize the movement time and cost of the inspection personnel. Furthermore, based on the inspection dimensions of each power equipment to be inspected, the inspection content corresponding to the power equipment to be inspected is determined. The inspection content includes, but is not limited to, appearance inspection, temperature inspection, vibration inspection, etc. The inspection dimensions and inspection content are key inspection dimensions determined for each power equipment by referring to the technical documents and maintenance manuals of the equipment. After that, according to the inspection route, inspection content, as well as the professional skills, experience, and availability of the inspection personnel, the inspection tasks are assigned to suitable inspection personnel to ensure that the assigned inspection personnel have sufficient time and professional ability to perform the power equipment inspection work.

[0031] Furthermore, the current inspection plan is sent to the handheld terminals of the inspection personnel, so that the inspection personnel can view the current inspection plan through the handheld terminals, and use the handheld terminals to conduct multi-dimensional inspections on each power equipment to be inspected according to the inspection route and inspection content, and accurately obtain the current working conditions of each power equipment to be inspected. Preferably, the handheld terminal is a high-precision and accurate positioning three-proof terminal: protection level: IP68; communication method: 5G; CPU: MT6833 (octa-core, two A76 up to 2.2GHz, six A55 up to 2.0GH); RAM: 8G Byte LPDDR3; ROM: 128G Byte eMMC; battery type: 5000mAH; GPS navigation: AGPS / GPS / BEIDOU / GLONASS / GLL. At the same time, the handheld terminal is equipped with inspection software to realize functions such as on-site positioning and equipment inspection systematization. Of course, the handheld terminal can also be equipped with a variety of types of sensors to extend and expand the monitoring of functions such as thermal imaging and temperature vibration.

[0032] Step S104: Obtain the inspection data returned by the handheld terminal, perform fault detection based on the inspection data to determine the fault detection result, perform fault prediction based on the inspection data to obtain the fault prediction result, and perform fault repair analysis based on the fault detection result and the fault prediction result to determine the fault repair information.

[0033] For the embodiments of this application, the handheld terminal and the power equipment inspection terminal are connected wirelessly, so that the power equipment inspection terminal can obtain the inspection data returned by the handheld terminal in real time. The inspection data includes, but is not limited to: inspection high-definition images, inspection temperature data, inspection vibration data, inspection sound data. Of course, it can also include: inspection equipment operation data, inspection safety measure data, and inspection presence / absence data, etc. For the specific information items included in the inspection data, the embodiments of this application will not be further limited, and users can select according to actual situations. Then, based on the inspection data, fault detection is performed to determine the fault detection result. Specifically, the power equipment inspection terminal pre-stores the normal parameter ranges corresponding to different types of electronic equipment, so as to compare the inspection data with the normal parameter ranges to determine whether there is a fault in the power equipment. That is, when all the inspection data is within the normal parameter range, it indicates that the power equipment is operating normally and there is no fault, and the fault detection result is determined to be none. When any one of the inspection data is not within the normal parameter range, it indicates that there is a fault in the power equipment, and the fault detection result includes: there is a fault, and based on the abnormal data not within the normal parameter range, fault information analysis is performed to determine the detailed fault information. That is, the power equipment inspection terminal pre-stores the correspondence between the abnormal data and the fault information, so as to quickly and accurately determine the detailed fault information based on the abnormal data. The power equipment inspection terminal realizes automated and intelligent fault detection based on the inspection data, without the need for inspection personnel to visually observe and manually measure to determine whether there is a fault in the power equipment, greatly reducing the work burden of the inspection personnel and improving the inspection efficiency.

[0034] Furthermore, based on the inspection data, fault prediction is performed to obtain the fault prediction result, and fault prediction operations are executed to take maintenance measures before the equipment fails, avoid sudden shutdown or damage of the power equipment, timely discover and solve potential problems, and improve the power supply stability of the power system. There are various specific implementation methods for fault prediction, and the embodiments of this application will not be further limited. In one feasible method, power equipment state prediction is performed based on the inspection data to obtain predicted inspection data. Among them, the predicted inspection data includes: predicted temperature data, predicted vibration data, predicted sound data; based on the predicted temperature data, overheating fault prediction is performed to determine the overheating fault prediction result; based on the predicted temperature data, vibration fault prediction is performed to determine the vibration fault prediction result; based on the predicted sound data, sound fault prediction is performed to determine the sound fault prediction result; by synthesizing the overheating fault prediction result, the vibration fault prediction result, and the sound fault prediction result, the fault prediction result is obtained.

[0035] Finally, based on the fault detection results and fault prediction results, fault repair analysis is carried out to determine the fault repair information, which includes: post-fault repair corresponding to the fault detection result and preventive repair corresponding to the fault prediction result. The corresponding relationships between different faults, predicted faults and repair information are pre-stored in the power equipment inspection terminal, so that the corresponding fault repair information can be quickly and accurately determined based on the fault detection results and fault prediction results, which helps maintenance personnel quickly locate the fault point and take effective repair measures.

[0036] It can be seen that in the embodiment of the present application, inspection analysis is carried out based on the power equipment set to determine the inspection requirements corresponding to each power equipment. Among them, the inspection requirements include: inspection dimensions and inspection frequencies. Then, based on the historical inspection plan, the power equipment set and the inspection requirements corresponding to each power equipment, inspection equipment screening is carried out to determine the power equipment to be inspected. The power equipment to be inspected is the power equipment selected from the power equipment set for this inspection. Furthermore, based on the inspection requirements corresponding to each power equipment to be inspected, inspection planning is carried out to obtain the current inspection plan, and the current inspection plan is sent to the handheld terminal of the inspection personnel. Furthermore, based on the inspection data, fault detection is carried out to determine the fault detection result. The power equipment inspection terminal realizes automatic and intelligent fault detection based on the inspection data, without the need for inspection personnel to judge whether there is a fault in the power equipment through visual observation and manual measurement, which greatly reduces the work burden of the inspection personnel and improves the inspection efficiency. Fault prediction is carried out based on the inspection data to obtain the fault prediction result, and the fault prediction operation is performed to take maintenance measures before the equipment fails, avoid sudden shutdown or damage of the power equipment, timely discover and solve potential problems, and improve the power supply stability of the power system. Finally, based on the fault detection results and fault prediction results, fault repair analysis is carried out to determine the fault repair information.

[0037] Furthermore, in order to timely discover and solve potential problems and improve the power supply stability of the power system, in the embodiment of the present application, fault prediction is carried out based on the inspection data to obtain the fault prediction result, including: Based on the inspection data, the state of the power equipment is predicted to obtain the estimated inspection data. Among them, the estimated inspection data includes: estimated temperature data, estimated vibration data, and estimated sound data; Based on the estimated temperature data, overheating fault prediction is carried out to determine the overheating fault prediction result; Based on the estimated vibration data, vibration fault prediction is carried out to determine the vibration fault prediction result; Based on the estimated sound data, sound fault prediction is carried out to determine the sound fault prediction result; The overheating fault prediction result, vibration fault prediction result and sound fault prediction result are comprehensively combined to obtain the fault prediction result.

[0038] For the embodiments of this application, a fault prediction operation is performed to facilitate taking maintenance measures before a device fails, avoid sudden shutdown or damage of power equipment, timely detect and solve potential problems, and improve the power supply stability of the power system.

[0039] Specifically, based on the inspection data, the state of the power equipment is predicted to obtain estimated inspection data, which includes: estimated temperature data, estimated vibration data, and estimated sound data. The above-mentioned estimated inspection data refers to the estimated working state of the power equipment within a preset time period after the current moment. The specific implementation process for the state prediction of power equipment is as follows: Sensors deployed at the power equipment are used to obtain historical temperature data, historical vibration data, and historical sound data. Based on the historical temperature data and the inspection temperature data, a chart is drawn, for example, a line chart. Based on the drawn inspection temperature chart, a trend analysis is performed to determine the change trend, change rate, and periodicity of the inspection temperature data, and based on the inspection temperature chart, the change trend, change rate, and periodicity corresponding to the inspection temperature data, the inspection temperature is predicted to determine the estimated temperature data. The calculation methods for the estimated vibration data and the estimated sound data are the same as the principle of the estimated temperature data. For the sake of simplicity of discussion, the embodiments of this application will not elaborate here.

[0040] Furthermore, based on the estimated temperature data, a temperature rise fault prediction is performed to determine the temperature rise fault prediction result, which includes: abnormal temperature rise and normal temperature. The specific implementation process for the temperature rise fault prediction is as follows: Key features are extracted based on the estimated temperature data to determine the temperature key features, which include: temperature rise rate, temperature fluctuation range, temperature spatial distribution, etc. Then, an abnormal temperature rise feature set is obtained, and feature matching is performed based on the abnormal temperature rise feature set and the temperature key features. When any feature matching is successful, the temperature rise fault prediction result is determined to be an abnormal temperature rise; otherwise, the temperature rise fault prediction result is determined to be normal temperature.

[0041] At the same time, based on the estimated vibration data, a vibration fault prediction is performed to determine the vibration fault prediction result, which includes: abnormal vibration and normal vibration. The specific implementation process for the vibration fault prediction is as follows: Key features are extracted based on the estimated vibration data to determine the vibration key features, which include: vibration amplitude, frequency, phase, etc. Then, a vibration abnormal feature set is obtained, and feature matching is performed based on the vibration abnormal feature set and the vibration key features. When any feature matching is successful, the vibration fault prediction result is determined to be abnormal vibration; otherwise, the vibration fault prediction result is determined to be normal vibration.

[0042] Meanwhile, based on the estimated sound data, sound fault prediction is performed to determine the sound fault prediction result, which includes: sound anomaly and normal sound. The specific implementation process of sound fault prediction is as follows: based on sound fault prediction, key features are extracted to determine the key sound features, which include: mean, variance, peak value, zero-crossing rate, etc. Then, a set of sound anomaly features is obtained, and feature matching is performed based on the set of sound anomaly features and the key sound features. When any feature matching is successful, the sound fault prediction result is determined to be sound anomaly; otherwise, the sound fault prediction result is determined to be normal sound.

[0043] It can be seen that in the embodiment of the present application, a fault prediction operation is performed to facilitate taking maintenance measures before the device fails, avoid sudden shutdown or damage of the power equipment, timely discover and solve potential problems, and improve the power supply stability of the power system. Therefore, based on the inspection data, the state of the power equipment is predicted to obtain the estimated inspection data. Then, based on the estimated temperature data, overheating fault prediction is performed to determine the overheating fault prediction result, based on the estimated vibration data, vibration fault prediction is performed to determine the vibration fault prediction result, and based on the estimated sound data, sound fault prediction is performed to determine the sound fault prediction result. Finally, by synthesizing the overheating fault prediction result, the vibration fault prediction result and the sound fault prediction result, the fault prediction result is obtained.

[0044] Furthermore, in order to intuitively display the estimated state of each power equipment and enable the operation and maintenance personnel to quickly and accurately understand the operating conditions of the power equipment, in the embodiment of the present application, after the state of the power equipment is predicted based on the inspection data to obtain the estimated inspection data, it further includes: Obtaining the three-dimensional modeling data corresponding to the power system, and based on the three-dimensional modeling data, a model is constructed to obtain a three-dimensional model of the power system; Based on the estimated temperature data, a temperature layer is constructed to obtain a temperature layer, based on the estimated vibration data, a vibration layer is constructed to obtain a vibration layer, and based on the estimated sound data, a sound layer is constructed to obtain a sound layer; Overlaying the temperature layer, the vibration layer and the sound layer onto the three-dimensional model of the power system, so as to intuitively display the estimated state of each power equipment.

[0045] For the embodiment of the present application, after the estimated inspection data is determined, by combining the two technical means of three-dimensional modeling and layer processing, the estimated temperature data, the estimated vibration data and the estimated sound data are overlaid onto the three-dimensional model of the power system in the form of layers, intuitively displaying the estimated state of each power equipment, enabling the operation and maintenance personnel to quickly and accurately understand the operating conditions of the power equipment, and improving the work efficiency of the operation and maintenance operations.

[0046] Specifically, obtain the 3D modeling data corresponding to the power system. This 3D modeling data includes, but is not limited to, relevant materials such as on-site survey data, power system design drawings, and construction drawings. This 3D modeling data usually includes information such as the plane layout of the power system, equipment arrangement, and connection relationships, and is an important reference for constructing the 3D model. Then, using 3D modeling software, construct a model based on the 3D modeling data to obtain a 3D power system model. The 3D modeling software can provide rich modeling tools and accurate calculation capabilities to meet the modeling needs of different scales. This 3D power system model can truly and accurately reflect the actual structure of the power system, facilitating inspection personnel to more clearly understand the overall situation of the power system.

[0047] Furthermore, based on the estimated temperature data, construct a temperature layer to obtain the temperature layer. Based on the estimated vibration data, construct a vibration layer to obtain the vibration layer. And based on the estimated sound data, construct a sound layer to obtain the sound layer. For the temperature layer, vibration layer, and sound layer, different presentation forms are used to distinguish and present the estimated conditions of the power equipment in the above three aspects. Specifically, different colors and shades of colors are used to represent the temperature range, the thickness of the lines is used to characterize the vibration intensity, and different textures are used to represent the sound magnitude. That is, according to the estimated temperature data, use visualization tools to draw the temperature layer. For example, use red to represent high-temperature areas and blue to represent low-temperature areas. The darker the color, the higher or lower the temperature. According to the estimated vibration data, use visualization tools to draw the vibration layer. For example, use thick lines to represent high-vibration-intensity areas and thin lines to represent low-vibration-intensity areas. According to the estimated sound pattern data, use visualization tools to draw the sound pattern layer. For example, areas with a high density of dot textures represent loud sounds, and areas with a low density of dot textures represent soft sounds. Furthermore, overlay the temperature layer, vibration layer, and sound layer onto the 3D power system model to intuitively display the estimated state of each power equipment.

[0048] It can be seen that in the embodiment of the present application, obtain the 3D modeling data corresponding to the power system, construct a model based on the 3D modeling data to obtain a 3D power system model. Then, based on the estimated temperature data, construct a temperature layer to obtain the temperature layer. Based on the estimated vibration data, construct a vibration layer to obtain the vibration layer. And based on the estimated sound data, construct a sound layer to obtain the sound layer. Finally, overlay the temperature layer, vibration layer, and sound layer onto the 3D power system model to intuitively display the estimated state of each power equipment. Through the method of layer overlay, the estimated state of each power equipment is intuitively displayed, enabling operation and maintenance personnel to quickly and accurately understand the operating conditions of the power equipment and improving the work efficiency of operation and maintenance operations.

[0049] Further, in order to make the layer overlay better meet the customized selection requirements and the presentation priority of power equipment to meet diverse inspection requirements, in the embodiments of the present application, the temperature layer, the vibration layer, and the sound layer are overlaid on the three-dimensional model of the power system, including: When a layer overlay instruction carrying layer information is detected, for any target power equipment in the three-dimensional model of the power system, based on the target power equipment, a display layer priority analysis is performed to determine the layer priority order; Based on the layer priority order corresponding to each target power equipment and the layer information in the layer overlay instruction, the power equipment of the layer to be overlaid is selected from the three-dimensional model of the power system; According to the layer overlay instruction, the temperature layer, the vibration layer, and the sound layer are overlaid on the power equipment of the layer to be overlaid in the three-dimensional model of the power system, so that the layer overlay meets the selection requirements and the presentation priority.

[0050] For the embodiments of the present application, when evaluating the operating conditions of power equipment, different types of power equipment focus on different dimensions. Therefore, the priority of layer display can be sorted by analyzing the working characteristics of power equipment, so as to assign a high layer priority to the factor layer closely related to the working conditions of power equipment, so that the layer is preferentially overlaid on the power equipment. At the same time, if the temperature layer, the vibration layer, and the sound layer are all overlaid on the three-dimensional model of the power system, it not only places high requirements on the computing power of the power equipment inspection terminal, but also causes too much information in the three-dimensional model of the power system after overlay, resulting in poor display effects. Different inspection personnel also focus on different factors when viewing the operating status and health conditions of power equipment. Therefore, in order to make the layer overlay better meet the customized selection requirements and the presentation priority of power equipment to meet diverse inspection requirements, when performing layer overlay, the layer overlay instruction and the layer priority order will be comprehensively considered.

[0051] Specifically, for any target power equipment in the three-dimensional model of the power system, a display layer priority analysis is performed based on the target power equipment to determine the layer priority order. The corresponding relationship between the power equipment and the layer priority is determined in advance according to the working characteristics of the power equipment. In the actual process, the user can adjust it according to actual needs. The following are some examples to represent the corresponding relationship between the power equipment and the layer priority. For example, for a transformer, the layer priority order is: temperature layer, vibration layer, and sound layer; for a circuit breaker, the layer priority order is: vibration layer, temperature layer, and sound layer; for a generator, the layer priority order is: temperature layer, sound layer, vibration layer.

[0052] Furthermore, based on the layer information in the layer overlay instruction, at least one layer to be overlaid corresponding to the current layer overlay is determined, and based on the at least one layer to be overlaid, among all power equipment, the power equipment with the highest priority of the layer to be overlaid is selected as the power equipment of the layer to be overlaid, that is, in the layer priority order corresponding to the power equipment of the layer to be overlaid, the layer to be overlaid is in the first place. Furthermore, according to the layer overlay instruction, the layers to be overlaid in the temperature layer, vibration layer and sound layer are overlaid onto the power equipment of the layer to be overlaid in the three-dimensional power system model, so that the layer overlay meets the selected requirements and presents the priority. For example, if the layers to be overlaid include: the temperature layer and the vibration layer, and the selected power equipment includes: transformers, circuit breakers and generators, then when overlaying the layers, the temperature layer is overlaid onto the transformers and generators in the three-dimensional power system model, and the vibration layer is overlaid onto the circuit breakers in the three-dimensional power system model.

[0053] It can be seen that in the embodiment of the present application, in order to make the layer overlay better meet the custom selected requirements and the presentation priority of power equipment to meet the diverse inspection requirements, therefore, when performing the layer overlay, for any target power equipment in the three-dimensional power system model, based on the target power equipment, the layer priority analysis is carried out to determine the layer priority order. Then, based on the layer priority order corresponding to each target power equipment and the layer information in the layer overlay instruction, the power equipment of the layer to be overlaid is selected from the three-dimensional power system model. Finally, according to the layer overlay instruction, the temperature layer, vibration layer and sound layer are overlaid onto the power equipment of the layer to be overlaid in the three-dimensional power system model, so that the layer overlay meets the selected requirements and presents the priority.

[0054] Furthermore, in order to timely discover and handle potential safety hazards and conduct key monitoring on equipment with historical anomalies, which helps prevent faults from occurring again, in the embodiment of the present application, based on the power equipment set, the inspection analysis is carried out to determine the inspection requirements corresponding to each power equipment, including: Based on the power equipment set, the hierarchical inspection method is used to determine the initial inspection requirements corresponding to each power equipment; Obtain historical inspection data, and based on the historical inspection data, conduct auxiliary inspection analysis to determine the auxiliary inspection requirements, where the auxiliary inspection requirements are used to conduct auxiliary inspections on equipment with historical anomalies; Integrate the auxiliary inspection requirements and the initial inspection requirements corresponding to each power equipment to determine the inspection requirements corresponding to each power equipment.

[0055] For the embodiments of this application, different power equipment has different working characteristics and importance levels. Through the hierarchical inspection method, differential inspection requirements can be formulated for power equipment with different importance levels, which helps to promptly discover and handle potential safety hazards. At the same time, auxiliary inspection analysis based on historical inspection data helps to focus on monitoring equipment with historical anomalies and prevent faults from occurring again.

[0056] Specifically, based on the roles, functions, values, and possible impacts after faults of different types of power equipment in the power equipment set, the importance levels of the power equipment are evaluated and divided into three levels: critical equipment, important equipment, and general equipment. Different levels of power equipment usually correspond to different inspection frequencies, which include but are not limited to: daily, weekly, every half month, monthly, quarterly, etc. Among them, the higher the importance level of the power equipment, the higher the inspection frequency. At the same time, based on the importance levels and working characteristics of different power equipment in the power equipment set, inspection dimensions are determined, including but not limited to: appearance inspection, function test, vibration analysis, infrared temperature measurement, oil analysis, etc. By integrating the inspection frequency and inspection dimensions of each power equipment, the initial inspection requirements corresponding to each power equipment are determined.

[0057] Then, historical inspection data is obtained. Based on the fault detection results in the historical inspection data, the faulty power equipment and fault dimensions with historical faults are determined, and the faulty power equipment and fault dimensions are selected as auxiliary inspection requirements, so that the current inspection work also inspects the power equipment with historical faults regardless of whether it reaches the inspection period. Finally, by integrating the auxiliary inspection requirements and the initial inspection requirements corresponding to each power equipment, the inspection requirements corresponding to each power equipment are determined, that is, the auxiliary inspection requirements are added to the basis of the initial inspection requirements.

[0058] It can be seen that in the embodiments of this application, formulating differential inspection requirements for power equipment with different importance levels helps to promptly discover and handle potential safety hazards. Therefore, based on the power equipment set, a hierarchical inspection method is used to determine the initial inspection requirements corresponding to each power equipment. Then, auxiliary inspection analysis is performed based on historical inspection data to determine the auxiliary inspection requirements, and the auxiliary inspection requirements are used to perform auxiliary inspections on equipment with historical anomalies. Finally, by integrating the auxiliary inspection requirements and the initial inspection requirements corresponding to each power equipment, the inspection requirements corresponding to each power equipment are determined.

[0059] Furthermore, in order to enable faults with high importance levels to be processed preferentially so that the power system can quickly resume normal operation, in the embodiments of this application, fault repair analysis is performed based on the fault detection results and fault prediction results to determine the fault repair information, including: Perform fault repair analysis based on the fault detection results to determine the first fault repair information; Perform predicted fault repair analysis based on the fault prediction results to determine the second fault repair information; Perform repair ranking based on the first fault repair information and the second fault repair information to determine the fault repair information.

[0060] For the embodiments of the present application, a first correspondence between different faults and fault repairs is pre-stored in the power equipment inspection terminal. Therefore, perform fault repair analysis based on the first correspondence and the fault detection results to determine the first fault repair information. The first fault repair information includes, but is not limited to: fault description, repair measures, and repair priority. Since the fault has occurred, the repair priorities in the first fault repair information are all set to high.

[0061] A second correspondence between different predicted faults and fault repairs is pre-stored in the power equipment inspection terminal. Therefore, perform predicted fault repair analysis based on the second correspondence and the fault prediction results to determine the second fault repair information. The second fault repair information includes, but is not limited to: predicted fault description, preventive repair measures, and repair priority. Since the fault has not occurred and the urgency is lower than that of the occurred fault, the repair priorities in the second fault repair information are all set to low. Finally, perform repair ranking based on the first fault repair information and the second fault repair information to determine the fault repair information, that is, during the process of performing the repair ranking, sort the repair measures in descending order of repair priority, and for repair measures with the same priority, sort them according to the urgency and impact scope of the fault. Performing the repair ranking operation can determine that the repair resources are reasonably allocated and utilized, so that faults with a high degree of importance can be processed first, facilitating the power system to quickly resume normal operation and ensuring the stability of the power supply of the power system to a certain extent.

[0062] It can be seen that in the embodiments of the present application, perform fault repair analysis based on the fault detection results to determine the first fault repair information. At the same time, perform predicted fault repair analysis based on the fault prediction results to determine the second fault repair information. Finally, perform repair ranking based on the first fault repair information and the second fault repair information to determine the fault repair information. Performing the repair ranking operation can determine that the repair resources are reasonably allocated and utilized, so that faults with a high degree of importance can be processed first, facilitating the power system to quickly resume normal operation and ensuring the stability of the power supply of the power system to a certain extent.

[0063] The above embodiments introduce a power equipment inspection method from the perspective of the method flow. The following embodiments introduce a power equipment inspection system from the perspective of virtual modules or virtual units. For details, see the following embodiments.

[0064] An embodiment of the present application provides a power equipment inspection system, such as Figure 2 shown. The power equipment inspection system may specifically include: An inspection analysis module 210, configured to obtain a set of power equipment, perform inspection analysis based on the set of power equipment, and determine the inspection requirements corresponding to each power equipment. Among them, the inspection requirements include: inspection dimensions and inspection frequencies; An inspection equipment screening module 220, configured to obtain a historical inspection plan, perform inspection equipment screening based on the historical inspection plan, the set of power equipment, and the inspection requirements corresponding to each power equipment, and determine the power equipment to be inspected. Among them, the power equipment to be inspected is the power equipment selected from the set of power equipment for this inspection; An inspection planning module 230, configured to perform inspection planning based on the inspection requirements corresponding to each power equipment to be inspected, obtain the current inspection plan. Among them, the current inspection plan includes: inspection routes, inspection contents, and inspection personnel; and send the current inspection plan to the handheld terminal of the inspection personnel; A fault repair analysis module 240, configured to obtain the inspection data returned by the handheld terminal, perform fault detection based on the inspection data to determine the fault detection result, perform fault prediction based on the inspection data to obtain the fault prediction result, and perform fault repair analysis based on the fault detection result and the fault prediction result to determine the fault repair information.

[0065] For the embodiment of the present application, inspection analysis is performed based on the set of power equipment to determine the inspection requirements corresponding to each power equipment. Among them, the inspection requirements include: inspection dimensions and inspection frequencies. Then, inspection equipment screening is performed based on the historical inspection plan, the set of power equipment, and the inspection requirements corresponding to each power equipment to determine the power equipment to be inspected. The power equipment to be inspected is the power equipment selected from the set of power equipment for this inspection. Furthermore, inspection planning is performed based on the inspection requirements corresponding to each power equipment to be inspected to obtain the current inspection plan, and the current inspection plan is sent to the handheld terminal of the inspection personnel. Furthermore, fault detection is performed based on the inspection data to determine the fault detection result. The power equipment inspection terminal realizes automated and intelligent fault detection based on the inspection data, without the need for inspection personnel to visually observe and manually measure to determine whether there is a fault in the power equipment, greatly reducing the work burden of the inspection personnel and improving the inspection efficiency. Fault prediction is performed based on the inspection data to obtain the fault prediction result, and the fault prediction operation is executed to take maintenance measures before the equipment fails, avoid sudden shutdown or damage of the power equipment, timely discover and solve potential problems, and improve the power supply stability of the power system. Finally, fault repair analysis is performed based on the fault detection result and the fault prediction result to determine the fault repair information.

[0066] In a possible implementation of the embodiment of the present application, when the fault repair analysis module 240 performs fault prediction based on the inspection data to obtain the fault prediction result, it is used for: Performing power equipment status prediction based on the inspection data to obtain predicted inspection data, where the predicted inspection data includes: predicted temperature data, predicted vibration data, and predicted sound data; Performing overheating fault prediction based on the predicted temperature data to determine the overheating fault prediction result; Performing vibration fault prediction based on the predicted vibration data to determine the vibration fault prediction result; Performing sound fault prediction based on the predicted sound data to determine the sound fault prediction result; Combining the overheating fault prediction result, the vibration fault prediction result, and the sound fault prediction result to obtain the fault prediction result.

[0067] In a possible implementation of the embodiment of the present application, the power equipment inspection system includes: A layer overlay module, configured to obtain three-dimensional modeling data corresponding to the power system, perform model construction based on the three-dimensional modeling data to obtain a three-dimensional model of the power system; Constructing a temperature layer based on the predicted temperature data to obtain a temperature layer, constructing a vibration layer based on the predicted vibration data to obtain a vibration layer, and constructing a sound layer based on the predicted sound data to obtain a sound layer; Overlaying the temperature layer, the vibration layer, and the sound layer on the three-dimensional model of the power system, so as to intuitively display the predicted status of each power equipment.

[0068] In a possible implementation of the embodiment of the present application, when the layer overlay module performs overlaying the temperature layer, the vibration layer, and the sound layer on the three-dimensional model of the power system, it is used for: When detecting a layer overlay instruction carrying layer information, for any target power equipment in the three-dimensional model of the power system, performing display layer priority analysis based on the target power equipment to determine the layer priority order; Selecting the power equipment with layers to be overlaid from the three-dimensional model of the power system based on the layer priority order corresponding to each target power equipment and the layer information in the layer overlay instruction; According to the layer overlay instruction, overlay the temperature layer, the vibration layer, and the sound layer on the power equipment with layers to be overlaid in the three-dimensional model of the power system, so that the layer overlay meets the selected requirements and presents the priority.

[0069] In a possible implementation of the embodiment of the present application, when the inspection analysis module 210 performs inspection analysis based on the power equipment set to determine the inspection requirements corresponding to each power equipment, it is used for: A method for hierarchical inspection of a set of power equipment, which determines the initial inspection requirements corresponding to each power equipment; Obtain historical inspection data, perform auxiliary inspection analysis based on the historical inspection data, and determine the auxiliary inspection requirements, where the auxiliary inspection requirements are used to perform auxiliary inspections on equipment with historical anomalies; Integrate the auxiliary inspection requirements and the initial inspection requirements corresponding to each power equipment to determine the inspection requirements corresponding to each power equipment.

[0070] In a possible implementation manner of the embodiments of the present application, when the fault repair analysis module 240 performs fault repair analysis based on the fault detection result and the fault prediction result to determine the fault repair information, it is used for: Perform fault repair analysis based on the fault detection result to determine the first fault repair information; Perform predicted fault repair analysis based on the fault prediction result to determine the second fault repair information; Perform repair ranking based on the first fault repair information and the second fault repair information to determine the fault repair information.

[0071] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of a power equipment inspection system described above can refer to the corresponding process in the foregoing method embodiments, and will not be elaborated here.

[0072] An embodiment of the present application provides a power equipment inspection terminal, as Figure 3 shown, Figure 3 The power equipment inspection terminal 300 shown includes: a processor 301 and a memory 303. Among them, the processor 301 and the memory 303 are connected, such as connected through a bus 302. Optionally, the power equipment inspection terminal 300 may further include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one, and the structure of the power equipment inspection terminal 300 does not constitute a limitation to the embodiments of the present application.

[0073] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0074] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 only a thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0075] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or it may also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0076] The memory 303 is used to store the application program code for executing the solution of this application, and is controlled by the processor 301 for execution. The processor 301 is used to execute the application program code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0077] Among them, the power equipment inspection terminal includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc. and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The shown power equipment inspection terminal is only an example and should not impose any restrictions on the functions and usage scope of the embodiments of this application.

[0078] The embodiments of this application provide a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0079] The embodiments of this application provide a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the method in any of the above embodiments. Compared with the related technology, in the embodiments of this application, based on the power equipment set for inspection analysis, the inspection requirements corresponding to each power equipment are determined, where the inspection requirements include: inspection dimensions and inspection frequencies. Then, based on the historical inspection plan, the power equipment set, and the inspection requirements corresponding to each power equipment, inspection equipment is screened to determine the power equipment to be inspected. The power equipment to be inspected is the power equipment selected from the power equipment set for this inspection. Furthermore, based on the inspection requirements corresponding to each power equipment to be inspected, an inspection plan is made to obtain the current inspection plan, and the current inspection plan is sent to the handheld terminal of the inspector. Furthermore, based on the inspection data, fault detection is performed to determine the fault detection result. The power equipment inspection terminal realizes automated and intelligent fault detection based on the inspection data, without the inspector having to visually observe and manually measure to determine whether there is a fault in the power equipment, greatly reducing the work burden of the inspector and improving the inspection efficiency. Based on the inspection data, fault prediction is performed to obtain the fault prediction result, and the fault prediction operation is executed to take maintenance measures before the equipment fails, avoid sudden shutdown or damage of the power equipment, timely discover and solve potential problems, and improve the power supply stability of the power system. Finally, based on the fault detection result and the fault prediction result, fault repair analysis is performed to determine the fault repair information.

[0080] It should be understood that although the steps in the flowchart of the accompanying drawings are shown sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise explicitly stated herein, there is no strict order restriction for the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0081] The above are only some embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for inspecting electric power equipment, characterized in that: include: Acquire a set of power equipment, perform inspection analysis based on the set of power equipment, and determine the inspection requirements corresponding to each power equipment, wherein the inspection requirements include: inspection dimension and inspection frequency; Obtain a historical inspection plan, screen inspection equipment based on the historical inspection plan, the set of power equipment and the inspection requirements corresponding to each of the power equipment, and determine the power equipment to be inspected, wherein the power equipment to be inspected is the power equipment for this inspection screened from the set of power equipment; Perform inspection planning based on the inspection requirements corresponding to each of the power equipment to be inspected to obtain a current inspection plan, wherein the current inspection plan includes: an inspection route, inspection content, and inspection personnel; and send the current inspection plan to the handheld terminal of the inspection personnel; The inspection data returned by the handheld terminal is obtained, fault detection is performed based on the inspection data to determine the fault detection result, fault prediction is performed based on the inspection data to obtain the fault prediction result, and fault repair analysis is performed based on the fault detection result and the fault prediction result to determine the fault repair information.

2. The power equipment inspection method according to claim 1, characterized in that: The performing fault prediction based on the inspection data to obtain a fault prediction result includes: Based on the inspection data, the power equipment state is predicted to obtain estimated inspection data, wherein the estimated inspection data includes: estimated temperature data, estimated vibration data, and estimated sound data; Performing temperature rise fault prediction based on the estimated temperature data, and determining a temperature rise fault prediction result; Performing vibration fault prediction based on the estimated vibration data, and determining a vibration fault prediction result; Performing sound fault prediction based on the estimated sound data and determining a sound fault prediction result; The temperature rise fault prediction result, the vibration fault prediction result and the sound fault prediction result are integrated to obtain a fault prediction result.

3. The power equipment inspection method according to claim 2, characterized in that: After the power equipment state prediction is performed based on the inspection data to obtain the estimated inspection data, the method further includes: Acquire three-dimensional modeling data corresponding to the power system, and construct a model based on the three-dimensional modeling data to obtain a three-dimensional model of the power system; Constructing a temperature layer based on the estimated temperature data to obtain a temperature layer, constructing a vibration layer based on the estimated vibration data to obtain a vibration layer, and constructing a sound layer based on the estimated sound data to obtain a sound layer; The temperature layer, the vibration layer and the sound layer are superimposed on the three-dimensional model of the power system to intuitively display the estimated state of each power device.

4. The power equipment inspection method according to claim 3, characterized in that: The step of superimposing the temperature layer, the vibration layer and the sound layer onto the three-dimensional model of the power system includes: When a layer overlay instruction carrying layer information is detected, for any target power equipment in the three-dimensional model of the power system, a display layer priority analysis is performed based on the target power equipment to determine a layer priority order; Based on the layer priority order corresponding to each target power device and the layer information in the layer overlay instruction, selecting the power device to be overlaid with the layer from the three-dimensional model of the power system; According to the layer overlay instruction, the temperature layer, the vibration layer and the sound layer are overlaid onto the power equipment to be overlaid in the three-dimensional model of the power system, so that the layer overlay meets the selected requirements and presentation priority.

5. The power equipment inspection method according to claim 1, characterized in that: The performing inspection analysis based on the set of electric power equipment to determine the inspection requirements corresponding to each electric power equipment includes: Based on the set of power equipment, a hierarchical inspection method is performed to determine the initial inspection requirements corresponding to each power equipment; Acquire historical inspection data, perform auxiliary inspection analysis based on the historical inspection data, and determine auxiliary inspection requirements, wherein the auxiliary inspection requirements are used to perform auxiliary inspections on equipment with historical abnormalities; The auxiliary inspection requirement and the initial inspection requirement corresponding to each of the electric power equipment are comprehensively considered to determine the inspection requirement corresponding to each of the electric power equipment.

6. The power equipment inspection method according to claim 1, characterized in that: The performing fault repair analysis based on the fault detection result and the fault prediction result to determine fault repair information includes: Performing a fault repair analysis based on the fault detection result to determine first fault repair information; Performing a predictive fault repair analysis based on the fault prediction result to determine second fault repair information; A maintenance sorting is performed based on the first fault repair information and the second fault repair information to determine the fault repair information.

7. A power equipment inspection system, characterized in that: include: An inspection analysis module is used to obtain a set of power equipment, perform inspection analysis based on the set of power equipment, and determine the inspection requirements corresponding to each power equipment, wherein the inspection requirements include: inspection dimension and inspection frequency; An inspection equipment screening module is used to obtain a historical inspection plan, screen the inspection equipment based on the historical inspection plan, the set of power equipment and the inspection requirements corresponding to each of the power equipment, and determine the power equipment to be inspected, wherein the power equipment to be inspected is the power equipment for this inspection screened from the set of power equipment; An inspection planning module is used to perform inspection planning based on the inspection requirements corresponding to each of the power equipment to be inspected, obtain a current inspection plan, wherein the current inspection plan includes: an inspection route, inspection content and inspection personnel; and send the current inspection plan to the handheld terminal of the inspection personnel; The fault repair analysis module is used to obtain the inspection data returned by the handheld terminal, perform fault detection based on the inspection data, determine the fault detection result, perform fault prediction based on the inspection data, obtain the fault prediction result, and perform fault repair analysis based on the fault detection result and the fault prediction result to determine the fault repair information.

8. An electric power equipment inspection terminal, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the power equipment inspection method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the electric power equipment inspection method according to any one of claims 1 to 6.

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