Electric power intelligent inspection method and system

Abstract

The invention discloses an electric power intelligent inspection method and system, relates to the technical field of electric power inspection, and solves the technical problems that the inspection route is unreasonable and the inspection time and cost are increased due to the lack of a scientific and systematic method when the inspection route is planned. According to the method, the fault record in the historical inspection data is analyzed in detail, the equipment abnormal value of the inspection equipment is calculated, the risk equipment and the normal equipment are classified according to the preset comparison value, the potential risk equipment can be identified more accurately based on the data driving method, maintenance measures can be taken in advance, and the maintenance efficiency is improved. The routing inspection starting point, the routing inspection terminal point and the distribution condition of the risk equipment are comprehensively considered, the shortest routing inspection path is determined firstly, then insertion analysis is performed on the risk equipment not on the target path, the path optimization sequence is reasonably arranged according to the number of the risk equipment on the two sides of the path point, the total length of the routing inspection path can be reduced, and the routing inspection efficiency is improved. And meanwhile, the risk equipment can be inspected in time.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power inspection, and in particular to an electric power intelligent inspection method and system. Background Art

[0002] In modern power systems, inspection of power lines is an important part of ensuring safe operation of the power grid and reliable power supply.

[0003] According to the publication number CN116610154A, an intelligent power inspection device includes a flying vehicle, a sensor component, a stabilizer, a mounting compartment, a rotating axis and a processor. The sensor component includes at least a laser scanning component, an imaging device and a navigation and positioning component. The processor is used to: determine the basic flight inspection route based on the geographic coordinates of at least one target to be inspected; generate basic control instructions based on the basic flight inspection route, control the flight of the flying vehicle and collect sensor information, and correct the basic control instructions in the process, determine the corrected control instructions, and control the flight of the flying vehicle and collect sensor information based on the corrected control instructions; and when the determination result of the fault hidden danger meets the preset warning condition, the determination result and the inspection information are transmitted back to the remote control center.

[0004] However, when some existing power inspection methods are used, manual inspections have limited ability to predict and assess the risks of equipment failures. Problems can often only be discovered after obvious equipment failures occur. There is a lack of early warning and precise positioning of potential risks. In addition, when planning inspection routes, there is a lack of scientific and systematic methods, which can easily lead to unreasonable inspection routes, increase inspection time and costs, and may miss inspections of some key equipment. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent power inspection method and system, which solves the problem that when planning inspection routes, there is a lack of scientific and systematic methods, which easily leads to unreasonable inspection routes and increases inspection time and costs.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for intelligent power inspection, the method specifically comprising the following steps: Step S001, obtaining the floor plan information of the substation based on GIS technology, and obtaining the historical inspection data corresponding to the substation; Step S002, screening the fault records in the historical inspection data, calculating the equipment abnormality values ​​of the inspection equipment based on the fault records, and classifying the equipment abnormality values ​​to obtain risk equipment and normal equipment; Step S003, obtaining all risky devices, and determining the shortest inspection path according to the inspection starting point and inspection end point, and performing inspection optimization based on the inspection position of the risky devices to obtain optimization information; Step S004, judging whether there is a route conflict between the optimized path and the target route based on the obtained optimization information, analyzing the obtained conflict judgment result, and analyzing the distance to obtain the inspection path to generate inspection information; Step S005: Display the obtained inspection information to the corresponding operator.

[0007] As a further solution of the present invention, the specific method of calculating the device abnormality value of the inspection device in step S002 is: Obtain all historical inspection data, and filter the fault records in the historical inspection data. Then obtain all inspection devices and label them as n, where n=1, 2, ..., m, where m represents the number of inspection devices. At the same time, obtain the fault records corresponding to inspection device n, and obtain the total number of faults corresponding to inspection device n according to the obtained fault records, and record it as Cn. At the same time, obtain the time interval value corresponding to the number of faults Cn, and record it as Tv. Then obtain the fault level corresponding to the number of faults Cn, and assign corresponding values ​​according to the fault level. At the same time, sum up all the assigned values ​​to obtain the fault value, and record it as Fn. Substitute the obtained parameters into the formula Calculate the equipment abnormality value Qn corresponding to the inspection equipment n, where Zn is the number of all inspections. It is a preset proportional coefficient, and the specific value is set by the operator. At the same time, the risk equipment and normal equipment are screened according to the equipment abnormality value Qn of the inspection equipment.

[0008] As a further solution of the present invention, the specific method of screening out risky devices and normal devices in step S002 is: Obtain the preset comparison value Qy. If the equipment abnormality value Qn of the inspection device is greater than the preset comparison value Qy, the corresponding inspection device is classified as a risky device. Otherwise, if the equipment abnormality value Qn of the inspection device is less than the preset comparison value Qy, the corresponding inspection device is classified as a normal device.

[0009] As a further solution of the present invention, the specific method of performing inspection optimization based on the inspection position of the risk equipment in step S003 to obtain the optimization information is: All risk equipment are labeled as a, and a=1, 2, ..., b, where b represents the number of risk equipment. At the same time, the inspection starting point and inspection end point of the substation are obtained, and the corresponding shortest inspection route is established and marked as the target route. Then, the risk equipment a is screened based on the target route. The risk equipment that does not exist on the target route is screened and marked as equipment to be analyzed, and the risk equipment that exists on the target route is marked as route equipment. At the same time, the screened equipment to be analyzed is inserted for analysis.

[0010] As a further solution of the present invention, the specific method of inserting the device to be analyzed in step S003 is: Obtain a point on the target route as the route point, then determine the number of risk devices on both sides of the route point and record them as La and Ra, where La represents the number on the left and Ra represents the number on the right, and compare the number of risk devices on the left and right sides; If the number of risky devices on the left side is greater than that on the right side, the risky devices on the right side are analyzed first, and the paths of the risky devices are optimized based on the shortest distance. Then the risky devices on the left side are analyzed, and similarly the paths of the risky devices on the left side are optimized based on the shortest distance to obtain optimization information. If the number of risky devices on the right side is greater than the number of risky devices on the left side, the risky devices on the left side are analyzed first and optimization information is obtained.

[0011] As a further solution of the present invention, the specific method of determining whether the optimized path conflicts with the target route in step S004 is as follows: Obtain optimization information and the corresponding optimized path at the same time, then obtain the target route, and generate a route conflict result based on whether the optimized path has a return. If the optimized path has a return, it means that there is a conflict between the two, and a conflict judgment result is generated. On the contrary, if the optimized path does not have a return, it means that there is no conflict between the two, and the inspection information is directly generated, and then the conflict judgment result is analyzed.

[0012] As a further solution of the present invention, the specific method of analyzing the conflict judgment result in step S004 is: Obtain the corresponding conflict path in the conflict judgment result, and obtain all the corresponding risk devices on the same side as planned risk devices, and obtain all non-conflicting paths by analyzing and calculating the positions of the planned risk devices, and record them as h, where h=1, 2, ..., r. At the same time, calculate the distance value of the non-conflicting path h and record it as Jh. At the same time, compare the distance values ​​of all non-conflicting paths h with those of the conflicting paths, and select non-conflicting paths with distance values ​​less than the distance values ​​of the conflicting paths as pre-selected non-conflicting paths. Then generate inspection information based on the pre-selected non-conflicting paths corresponding to the distance values.

[0013] An electric power intelligent inspection system, comprising: Substation information acquisition unit, which is used to acquire basic information of the substation, including inspection starting point, inspection end point and inspection equipment information, and transmit the acquired basic information to the adaptive analysis unit; An adaptive analysis unit is used to analyze the acquired basic information and filter the fault records in the historical inspection data. At the same time, the abnormal value of the inspection equipment is calculated based on the fault records, and the risk equipment and normal equipment are classified according to the abnormal value of the equipment, and then the risk equipment information is transmitted to the path optimization unit; A path optimization unit, which is used to determine the shortest inspection path according to the inspection starting point and the inspection end point, and to perform inspection optimization based on the inspection position of the risk equipment to obtain optimization information, and then to judge whether the optimized path conflicts with the target route based on the obtained optimization information, and to analyze the obtained conflict judgment result, and to analyze the distance to obtain the inspection path to generate inspection information, and to transmit the generated inspection information to the information output unit; The information output unit is used to display the acquired inspection information to the corresponding operator.

[0014] The present invention provides a method and system for intelligent power inspection. Compared with the prior art, it has the following beneficial effects: The present invention analyzes the fault records in the historical inspection data in detail, calculates the abnormal values ​​of the inspection equipment, and classifies the risk equipment and normal equipment according to the preset comparison value. This data-driven method can more accurately identify potential risk equipment. Compared with the traditional manual inspection that only relies on experience to judge the fault risk, it improves the accuracy and reliability of fault warning, helps to take maintenance measures in advance, reduces the probability of equipment failure, and ensures the stable operation of the power system. Taking into account the distribution of the inspection starting point, end point and risk equipment, the shortest inspection route is determined first, and then the risk equipment that is not on the target route is inserted and analyzed. The route optimization sequence is reasonably arranged according to the number of risk equipment on both sides of the route point. This optimization strategy can reduce the total length of the inspection route, improve the inspection efficiency, and ensure that risk equipment can be inspected in time. Compared with the randomness and inefficiency of traditional inspection route planning, it saves inspection time and labor costs.

[0015] After generating the optimization information, the optimized path and the target route are judged for conflicts. When conflicts occur, the conflicting path and the risk equipment on the same side are analyzed, the non-conflicting path is calculated, and the pre-selected non-conflicting path with better distance is selected to generate inspection information. This intelligent conflict handling mechanism can effectively solve the path conflict problems that may occur during the inspection process, ensure the continuity and integrity of the inspection work, and improve the feasibility and effectiveness of the inspection plan, which is difficult to achieve with traditional inspection methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a step method diagram of the present invention; Figure 2This is a schematic diagram of the classification of the equipment of the present invention; Figure 3 This is the principle framework of the system of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] For example, see Figure 1 and Figure 2 The present application provides a method for intelligent power inspection, which specifically includes the following steps: Step S001, based on GIS technology, the floor plan information of the substation is obtained, and the historical inspection data corresponding to the substation is obtained at the same time, and the floor plan information here includes information such as the inspection starting point, inspection exit and inspection equipment.

[0019] Step S002, screening the fault records in the historical inspection data, calculating the equipment abnormality values ​​of the inspection equipment based on the fault records, and classifying the equipment abnormality values ​​into risky equipment and normal equipment.

[0020] Get all the historical inspection data, and here get all the historical data within time t, and the value of time t is set by the operator, and filter the fault records in the historical inspection data, then get all the inspection equipment and label them as n, and n=1, 2, ..., m, where m represents the number of inspection equipment, and get the fault records corresponding to inspection equipment n, and get the total number of faults corresponding to inspection equipment n according to the acquired fault records, record it as Cn, and get the time interval value corresponding to the fault number Cn, record it as Tv, and the time interval value here is all faults The interval mean of the number of fault times is obtained, and then the fault level corresponding to the number of faults Cn is obtained, and the corresponding value is assigned according to the fault level. At the same time, all the assigned values ​​are summed up to obtain the fault value recorded as Fn. For example, if the minor fault level is set to level 1, the general fault level is set to level 2, and the serious fault level is set to level 3, for example, the minor fault is assigned to 1, the general fault is assigned to 3, and the serious fault is assigned to 5. Assuming that there are three faults in total, the first one is assigned to 1 for the minor fault, the second one is assigned to 3 for the general fault, and the third one is assigned to 5 for the serious fault, then the fault value Fn=1+3+5=9; Substitute the obtained parameters into the formula Calculate the equipment abnormality value Qn corresponding to the inspection equipment n, where Zn is the number of all inspections. It is a preset proportional coefficient. The specific value is set by the operator. At the same time, the risk equipment and normal equipment are screened according to the equipment abnormality value Qn of the inspection equipment. The specific screening method is as follows: Obtain a preset comparison value Qy, and the value of the preset comparison value is set by the operator. If the equipment abnormality value Qn of the inspection equipment is greater than the preset comparison value Qy, the corresponding inspection equipment is classified as a risky equipment. Conversely, if the equipment abnormality value Qn of the inspection equipment is less than the preset comparison value Qy, the corresponding inspection equipment is classified as a normal equipment.

[0021] Step S003, acquiring all risky devices, and determining the shortest inspection path according to the inspection starting point and the inspection end point, and performing inspection optimization based on the inspection position of the risky devices to obtain optimization information.

[0022] All risk equipment are labeled as a, and a=1, 2, ..., b, where b represents the number of risk equipment. At the same time, the inspection starting point and inspection end point of the substation are obtained, and the corresponding shortest inspection route is established and marked as the target route. The specific positions of the inspection starting point and inspection end point are set by the operator. Then, the risk equipment a is screened based on the target route, and the risk equipment that does not exist on the target route is screened and marked as the equipment to be analyzed. The non-existence on the target route here means that the straight-line distance between the risk equipment and the target route is greater than the preset value S. The value of the preset value S is set by the operator. At the same time, combined with the attached Figure 2 To express, Figure 2 There are two risk devices in the target route, namely risk device 1 and risk device 2, and the straight-line distances between them are S1 and S2. After comparison, it is found that the straight-line distance S1 is greater than the preset value S, then the corresponding risk device is classified as the device to be analyzed, and the risk device on the target route is marked as the route device. Figure 2 Risk device S1 in the; At the same time, the screened equipment to be analyzed is inserted and analyzed, and a point on the target route is obtained and recorded as a route point. The route point here is selected according to the route equipment, and the corresponding route equipment is marked as a route point. Then, the number of risk equipment on both sides of the route point is determined and recorded as La and Ra respectively, and La represents the number on the left side and Ra represents the number on the right side, and the number of risk equipment on the left and right sides is compared; If the number of risky devices on the left side is greater than that on the right side, the risky devices on the right side are analyzed first, and the paths of the risky devices are optimized based on the shortest distance. Then the risky devices on the left side are analyzed, and similarly the paths of the risky devices on the left side are optimized based on the shortest distance to obtain optimization information. If the number of risky devices on the right side is greater than that on the left side, the above analysis is used to perform path optimization on risky devices on different sides to obtain optimization information.

[0023] For example, suppose there is a transmission line as the target route, and a tower is selected as a route point. According to statistics, there are 5 risky devices on the left and 3 risky devices on the right. Since the number on the left is greater than the number on the right, the 3 risky devices on the right are analyzed first. For example, there are three different paths on the right to reach these risky devices. By calculating the length of each path, the shortest path is selected and optimized, such as clearing obstacles on the path and adjusting the direction of the line, so as to improve the efficiency and safety of reaching the risky devices on the right. After that, similar analysis and optimization operations based on the shortest path standard are performed on the 5 risky devices on the left, and finally the complete optimization information of the risky devices on the left and right sides is obtained.

[0024] Step S004: Based on the obtained optimization information, it is determined whether the optimized path conflicts with the target path, and the obtained conflict determination result is analyzed. Meanwhile, the distance is analyzed to obtain the inspection path and generate inspection information.

[0025] Obtain optimization information and the corresponding optimization path at the same time, and the optimization path here represents the optimization path for the risk equipment on both sides, then obtain the target route, and generate a route conflict result according to whether the optimization path has a return. If the optimization path has a return, it means that there is a conflict between the two, and generate a conflict judgment result. On the contrary, if the optimization path does not have a return, it means that there is no conflict between the two, and directly generate inspection information, and the inspection information here is the route information including the risk equipment on both sides, and then analyze the conflict judgment result; The conflict path corresponding to the conflict judgment result is obtained, and the conflict path indicates the inspection section where the path is reversed. At the same time, all the corresponding risk equipment on the same side are obtained and recorded as planned risk equipment. For example, if the conflict path is a section of the risk equipment on the right side, all the risk equipment on the right side are obtained, and all non-conflicting paths are obtained by analyzing and calculating the positions of the planned risk equipment and recorded as h, where h=1, 2, …, r. At the same time, the distance value of the non-conflicting path h is calculated and recorded as Jh, and the distance value here is represented as the total mileage of the path. At the same time, the distance values ​​of all non-conflicting paths h are compared with the conflicting paths, and the non-conflicting paths with distance values ​​less than the distance values ​​of the conflicting paths are selected and recorded as pre-selected non-conflicting paths. Then, the inspection information is generated based on the pre-selected non-conflicting paths corresponding to the distance values.

[0026] Step S005: Display the obtained inspection information to the corresponding operator.

[0027] For example 2, please refer to Figure 3 The present application provides an intelligent power inspection system, including a substation information collection unit, an information adaptive analysis unit, a path optimization unit and an information output unit, and Figure 3 It can be known that all the above functional units are electrically connected in one direction.

[0028] Substation information acquisition unit, which is used to acquire basic information of the substation, including inspection starting point, inspection end point and inspection equipment information, and transmit the acquired basic information to the adaptive analysis unit; An adaptive analysis unit is used to analyze the acquired basic information and filter the fault records in the historical inspection data. At the same time, the device abnormality value of the inspection device is calculated based on the fault record, and the risk device and the normal device are obtained according to the device abnormality value classification. Then, the risk device information is transmitted to the path optimization unit. The processing method here is the same as the processing process of step S002 in the first embodiment; A path optimization unit, which is used to determine the shortest inspection path according to the inspection starting point and the inspection end point, and to perform inspection optimization based on the inspection position of the risk equipment to obtain optimization information, and the processing method here is the same as the processing method of step S003 in the first embodiment, and then judge whether the optimized path has a route conflict with the target route based on the obtained optimization information, and analyze the obtained conflict judgment result, and at the same time analyze the distance to obtain the inspection path to generate inspection information, and the processing method here is the same as the processing process of step S004 in the first embodiment, and transmit the generated inspection information to the information output unit; The information output unit is used to display the acquired inspection information to the corresponding operator.

[0029] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0030] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for intelligent power inspection, characterized in that: The method specifically comprises the following steps: Step S001, obtaining the floor plan information of the substation based on GIS technology, and obtaining the historical inspection data corresponding to the substation; Step S002, screening the fault records in the historical inspection data, calculating the equipment abnormality values ​​of the inspection equipment based on the fault records, and classifying the equipment abnormality values ​​to obtain risk equipment and normal equipment; Step S003, obtaining all risky devices, and determining the shortest inspection path according to the inspection starting point and inspection end point, and performing inspection optimization based on the inspection position of the risky devices to obtain optimization information; Step S004, judging whether there is a route conflict between the optimized path and the target route based on the obtained optimization information, analyzing the obtained conflict judgment result, and analyzing the distance to obtain the inspection path to generate inspection information; Step S005: Display the obtained inspection information to the corresponding operator.

2. The method for intelligent power inspection according to claim 1, characterized in that: The specific method of calculating the device abnormal value of the inspection device in step S002 is: Obtain all historical inspection data, and filter the fault records in the historical inspection data. Then obtain all inspection devices and label them as n, where n=1, 2, ..., m, where m represents the number of inspection devices. At the same time, obtain the fault records corresponding to inspection device n, and obtain the total number of faults corresponding to inspection device n according to the obtained fault records, and record it as Cn. At the same time, obtain the time interval value corresponding to the number of faults Cn, and record it as Tv. Then obtain the fault level corresponding to the number of faults Cn, and assign corresponding values ​​according to the fault level. At the same time, sum up all the assigned values ​​to obtain the fault value, and record it as Fn. Substitute the obtained parameters into the formula Calculate the equipment abnormality value Qn corresponding to the inspection equipment n, where Zn is the number of all inspections. It is a preset proportional coefficient, and the specific value is set by the operator. At the same time, the risk equipment and normal equipment are screened according to the equipment abnormality value Qn of the inspection equipment.

3. The method for intelligent power inspection according to claim 2, characterized in that: The specific method of screening out risky devices and normal devices in step S002 is: Obtain the preset comparison value Qy. If the equipment abnormality value Qn of the inspection device is greater than the preset comparison value Qy, the corresponding inspection device is classified as a risky device. Otherwise, if the equipment abnormality value Qn of the inspection device is less than the preset comparison value Qy, the corresponding inspection device is classified as a normal device.

4. The method for intelligent power inspection according to claim 1, characterized in that: The specific method of performing inspection optimization based on the inspection position of the risky equipment in step S003 to obtain optimization information is as follows: All risk equipment are labeled as a, and a=1, 2, ..., b, where b represents the number of risk equipment. At the same time, the inspection starting point and inspection end point of the substation are obtained, and the corresponding shortest inspection route is established and marked as the target route. Then, the risk equipment a is screened based on the target route. The risk equipment that does not exist on the target route is screened and marked as equipment to be analyzed, and the risk equipment that exists on the target route is marked as route equipment. At the same time, the screened equipment to be analyzed is inserted for analysis.

5. The method for intelligent power inspection according to claim 4, characterized in that: The specific method of inserting and analyzing the device to be analyzed in step S003 is: Obtain a point on the target route as the route point, then determine the number of risk devices on both sides of the route point and record them as La and Ra, where La represents the number on the left and Ra represents the number on the right, and compare the number of risk devices on the left and right sides; If the number of risky devices on the left side is greater than that on the right side, the risky devices on the right side are analyzed first, and the paths of the risky devices are optimized based on the shortest distance. Then the risky devices on the left side are analyzed, and similarly the paths of the risky devices on the left side are optimized based on the shortest distance to obtain optimization information. If the number of risky devices on the right side is greater than the number of risky devices on the left side, the risky devices on the left side are analyzed first and optimization information is obtained.

6. The method for intelligent power inspection according to claim 1, characterized in that: The specific method of determining whether the optimized path conflicts with the target route in step S004 is as follows: Obtain optimization information and the corresponding optimized path at the same time, then obtain the target route, and generate a route conflict result based on whether the optimized path has a return. If the optimized path has a return, it means that there is a conflict between the two, and a conflict judgment result is generated. On the contrary, if the optimized path does not have a return, it means that there is no conflict between the two, and the inspection information is directly generated, and then the conflict judgment result is analyzed.

7. The method for intelligent power inspection according to claim 6, characterized in that: The specific method of analyzing the conflict judgment result in step S004 is: Obtain the corresponding conflict path in the conflict judgment result, and obtain all the corresponding risk devices on the same side as planned risk devices, and obtain all non-conflicting paths by analyzing and calculating the positions of the planned risk devices, and record them as h, where h=1, 2, ..., r. At the same time, calculate the distance value of the non-conflicting path h and record it as Jh. At the same time, compare the distance values ​​of all non-conflicting paths h with those of the conflicting paths, and select non-conflicting paths with distance values ​​less than the distance values ​​of the conflicting paths as pre-selected non-conflicting paths. Then generate inspection information based on the pre-selected non-conflicting paths corresponding to the distance values.

8. An electric power intelligent inspection system, used to execute an electric power intelligent inspection system according to any one of claims 1 to 7, characterized in that: include: Substation information acquisition unit, which is used to acquire basic information of the substation, including inspection starting point, inspection end point and inspection equipment information, and transmit the acquired basic information to the adaptive analysis unit; An adaptive analysis unit is used to analyze the acquired basic information and filter the fault records in the historical inspection data. At the same time, the abnormal value of the inspection equipment is calculated based on the fault records, and the risk equipment and normal equipment are classified according to the abnormal value of the equipment, and then the risk equipment information is transmitted to the path optimization unit; A path optimization unit, which is used to determine the shortest inspection path according to the inspection starting point and the inspection end point, and to perform inspection optimization based on the inspection position of the risk equipment to obtain optimization information, and then to judge whether the optimized path conflicts with the target route based on the obtained optimization information, and to analyze the obtained conflict judgment result, and to analyze the distance to obtain the inspection path to generate inspection information, and to transmit the generated inspection information to the information output unit; The information output unit is used to display the acquired inspection information to the corresponding operator.

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