An intelligent power inspection method and system

Abstract

The application discloses a kind of electric power intelligent inspection method and system, and the application relates to electric power inspection technical field, lack of scientific system when planning inspection path, it is prone to lead to unreasonable inspection route, increase the technical problem of inspection time and cost, the abnormal value of equipment of the equipment of the present application is calculated by detailed analysis to the fault record in historical inspection data, and risk equipment and normal equipment are classified according to preset comparison value, based on the method of data-driven, potential risk equipment can be more accurately identified, which helps to take maintenance measures in advance, considering the distribution of inspection starting point, end point and risk equipment, the shortest inspection path is determined first, then the risk equipment not on the target path is inserted and analyzed, the path optimization order is reasonably arranged according to the number of risk equipment on both sides of the route point, which can reduce the total length of the inspection path, improve the inspection efficiency, and ensure that risk equipment can be timely inspected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power inspection, in particular to a power intelligent inspection method and system. BACKGROUND

[0002] In the modern power system, the inspection of power lines is an important link to ensure the safe operation of the power grid and reliable power supply.

[0003] According to the disclosure No. CN116610154A, an intelligent power inspection equipment includes a flying vehicle, a sensing component, a stabilizer, a mounting cabin, a rotating shaft, and a processor. The sensing component includes at least a laser scanning component, an imaging device, and a navigation positioning component. The processor is used to: determine a basic flight inspection route based on the geographic coordinates of at least one target to be inspected; generate a basic control instruction based on the basic flight inspection route, control the flight of the flying vehicle and collect sensing information, and correct the basic control instruction during the process, determine the corrected control instruction, and control the flight of the flying vehicle and collect sensing information based on the corrected control instruction; and when the determination result of the fault hidden danger meets the preset warning condition, the determination result and the inspection information are returned to the remote control center.

[0004] However, some existing power inspection methods have limited prediction and risk assessment capabilities for device faults during manual inspection, and often can only discover problems after obvious device failures occur, lack early warning and accurate positioning of potential risks, and lack scientific and systematic methods for planning inspection paths, which can lead to unreasonable inspection routes, increase inspection time and cost, and miss some key device inspections. SUMMARY

[0005] To overcome the deficiencies of the prior art, the present application provides a power intelligent inspection method and system, which solves the problem of lack of scientific and systematic methods for planning inspection paths, which can lead to unreasonable inspection routes and increase inspection time and cost.

[0006] To achieve the above purpose, the present application is realized by the following technical scheme: a power intelligent inspection method, which specifically includes the following steps:

[0007] Step S001: obtaining the plan information of the substation based on GIS technology, and obtaining the historical inspection data corresponding to the substation;

[0008] Step S002: filtering the fault records in the historical inspection data, calculating the device abnormal value of the inspection equipment based on the fault records, and classifying the risk equipment and normal equipment according to the device abnormal value;

[0009] Step S003, all risk devices are acquired, and the shortest inspection path is determined according to the inspection starting point and the inspection ending point, and the optimization information is obtained based on the inspection position of the risk device;

[0010] Step S004, whether the optimization path conflicts with the target route is judged based on the obtained optimization information, and the conflict judgment result is analyzed, and the inspection path is generated by analyzing the distance to obtain the inspection information;

[0011] Step S005, the obtained inspection information is displayed to the corresponding operator.

[0012] As a further scheme of the application, the specific way of calculating the device abnormal value of the inspection device in step S002 is:

[0013] All historical inspection data are acquired, and the fault records in the historical inspection data are screened, then all inspection devices are acquired and labeled as n, and n=1, 2, …, m, wherein m represents the number of inspection device labels, the fault records corresponding to the inspection device n are acquired, and the total fault times corresponding to the inspection device n are acquired according to the acquired fault records, and the total fault times Cn are acquired, and the time interval value Tv corresponding to the fault times Cn is acquired, then the fault level corresponding to the fault times Cn is acquired, and the corresponding assignment is made according to the fault level, and the obtained all assignments are summed to obtain the fault value Fn;

[0014] The acquired parameters are substituted into the formula The device abnormal value Qn corresponding to the inspection device n is calculated, wherein Zn is all inspection times, is a preset proportion coefficient, and the specific value is set by the operator, and the risk devices and normal devices are obtained by screening according to the device abnormal value Qn of the inspection device.

[0015] As a further scheme of the application, the specific way of screening the risk devices and normal devices in step S002 is:

[0016] A preset comparison value Qy is acquired, if the device abnormal value Qn of the inspection device is greater than the preset comparison value Qy, the corresponding inspection device is classified as a risk device, otherwise if the device abnormal value Qn of the inspection device is less than the preset comparison value Qy, the corresponding inspection device is classified as a normal device.

[0017] As a further scheme of the application, the specific way of obtaining optimization information based on the inspection position of the risk device in step S003 is:

[0018] Mark all the risk devices as a, and a=1, 2, …, b, wherein b represents the number of risk devices, and obtain the starting point and the ending point of the inspection of the substation, and establish the shortest inspection route as a target route, then screen the risk devices a according to the target route, screen the risk devices not existing on the target route and mark them as to-be-analyzed devices, mark the risk devices existing on the target route as route devices, and perform insertion analysis on the to-be-analyzed devices.

[0019] As a further scheme of the present application, the specific manner of performing insertion analysis on the to-be-analyzed devices in step S003 is as follows:

[0020] Obtain a point on the target route as a route point, then judge the number of risk devices on the left and right sides of the route point as La and Ra respectively, wherein La represents the number on the left side and Ra represents the number on the right side, and compare the number of risk devices on the left and right sides;

[0021] If the number of risk devices on the left side is greater than that on the right side, the risk devices on the right side are analyzed first, and the path optimization of the risk devices is performed according to the shortest path, then the risk devices on the left side are analyzed, and the path optimization of the risk devices on the left side is performed according to the shortest path to obtain optimization information;

[0022] If the number of risk devices on the right side is greater than that on the left side, the risk devices on the left side are analyzed first, and optimization information is obtained.

[0023] As a further scheme of the present application, the specific manner of judging whether the optimized path conflicts with the target route in step S004 is as follows:

[0024] Obtain the optimization information, and obtain the corresponding optimized path, then obtain the target route, and generate a route conflict result according to whether the optimized path exists a U-turn, if the optimized path exists a U-turn, it indicates that there is a conflict between the two, and a conflict judgment result is generated, otherwise, if the optimized path does not exist a U-turn, it indicates that there is no conflict between the two, and the inspection information is directly generated, then the conflict judgment result is analyzed.

[0025] As a further scheme of the present application, the specific manner of analyzing the conflict judgment result in step S004 is as follows:

[0026] The corresponding conflict path in the conflict judgment result is acquired, and all risk equipment on the same side corresponding to the conflict path is acquired as a planning risk equipment, all non-conflict paths h are obtained by analyzing and calculating the positions of the planning risk equipment, and h=1, 2, …, r, the distance values of the non-conflict paths h are calculated and recorded as Jh, the non-conflict paths h with distance values less than the distance value of the conflict path are selected as preselected non-conflict paths by comparing the distance values of all non-conflict paths h with the distance value of the conflict path, and then the preselected non-conflict paths corresponding to the distance values are taken as a standard to generate inspection information.

[0027] An intelligent power inspection system comprises:

[0028] A substation information acquisition unit is configured to acquire basic information of a substation, and the basic information comprises an inspection starting point, an inspection ending point and inspection equipment information, and the acquired basic information is transmitted to an adaptive analysis unit;

[0029] The adaptive analysis unit is configured to analyze the acquired basic information, filter fault records in historical inspection data, calculate equipment abnormal values of inspection equipment based on the fault records, and classify the risk equipment and normal equipment according to the equipment abnormal values, and then transmit the risk equipment information to a path optimization unit;

[0030] The path optimization unit is configured to determine a shortest inspection path according to the inspection starting point and the inspection ending point, perform inspection optimization based on the inspection positions of the risk equipment to obtain optimization information, judge whether the optimized path conflicts with a target route based on the obtained optimization information, analyze the conflict judgment result, analyze the distance to generate inspection information, and transmit the generated inspection information to an information output unit;

[0031] The information output unit is configured to display the acquired inspection information to corresponding operating personnel.

[0032] The present application provides an intelligent power inspection method and system.

[0033] The present application can more accurately identify potential risk equipment by analyzing fault records in historical inspection data, calculating equipment abnormal values of inspection equipment, and classifying risk equipment and normal equipment according to a preset comparison value, compared with the traditional manual inspection which only relies on experience to judge fault risks, thereby improving the accuracy and reliability of fault early warning, helping to take maintenance measures in advance, reducing the probability of equipment failure, and ensuring the stable operation of the power system.

[0034] The shortest inspection path is determined by comprehensively considering the distribution of the inspection starting point, the inspection ending point and the risk equipment, the risk equipment not on the target path is analyzed, the path optimization order is reasonably arranged according to the number of risk equipment on both sides of the route point, and the optimization strategy can reduce the total length of the inspection path, improve the inspection efficiency, and ensure that the risk equipment can be timely inspected. Compared with the randomness and inefficiency of the traditional inspection path planning, the inspection time and labor cost are saved.

[0035] After generating the optimization information, the conflict between the optimization path and the target route is judged, and when the conflict occurs, the non-conflict path is calculated by analyzing the conflict path and the risk equipment on the same side, and the preselected non-conflict path with a more optimal distance is screened to generate the inspection information. The intelligent conflict processing mechanism can effectively solve the path conflict problem that may occur in the inspection process, ensure the continuity and integrity of the inspection work, improve the feasibility and effectiveness of the inspection plan, which is difficult to achieve by the traditional inspection method. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The step method diagram of the present application is shown in the figure;

[0037] Figure 2 The device classification schematic diagram of the present application is shown in the figure;

[0038] Figure 3 The system principle block diagram of the present application is shown in the figure. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0040] Embodiment one, please refer to Figure 1 and Figure 2 The present application provides an intelligent power inspection method, which specifically comprises the following steps:

[0041] Step S001, based on GIS technology, obtain the plan information of the substation, and obtain the corresponding historical inspection data of the substation, and the plan information here includes inspection starting point, inspection exit and inspection equipment and other information.

[0042] Step S002, filter the fault records in the historical inspection data, calculate the equipment abnormal value of the inspection equipment based on the fault records, and classify the equipment abnormal value to obtain the risk equipment and the normal equipment.

[0043] All historical inspection data is obtained, and all historical data within time t is obtained here, and the value of time t is set by the operator, and the fault records in the historical inspection data are screened, then all inspection equipment is obtained and labeled as n, and n = 1, 2, …, m, wherein m represents the number of inspection equipment labels, and the corresponding fault records of the inspection equipment n are obtained, and the total number of faults corresponding to the inspection equipment n is obtained according to the obtained fault records, and is marked as Cn, and the time interval value corresponding to the fault number Cn is obtained, and the time interval value here is the interval average of all fault times, then the fault level corresponding to the fault number Cn is obtained, and the corresponding assignment is made according to the fault level, and the obtained all assignments are summed to obtain a fault value marked as Fn, for example, if the light fault level is set as level 1, the general fault level is set as level 2, and the serious fault level is set as level 3, etc., for example, the light fault assignment is 1, the general fault assignment is 3, and the serious fault assignment is 5, assuming that there are three faults, the first time is light fault assignment 1, the second time is general fault assignment 3, and the third time is serious fault assignment 5, then the fault value Fn = 1 + 3 + 5 = 9;

[0044] The obtained parameters are substituted into the formula The device abnormal value Qn corresponding to the inspection equipment n is calculated, wherein Zn is all inspection times, is a preset proportion coefficient, and the specific value is set by the operator, and the risk equipment and normal equipment are obtained according to the device abnormal value Qn of the inspection equipment, and the specific screening method is as follows:

[0045] A preset comparison value Qy is obtained, and the value of the preset comparison value is set by the operator, if the device abnormal value Qn of the inspection equipment is greater than the preset comparison value Qy, the corresponding inspection equipment is classified as risk equipment, otherwise if the device abnormal value Qn of the inspection equipment is less than the preset comparison value Qy, the corresponding inspection equipment is classified as normal equipment.

[0046] Step S003, all risk equipment is obtained, and the shortest inspection path is determined according to the inspection starting point and the inspection ending point, and the inspection optimization information is obtained based on the inspection position of the risk equipment.

[0047] All risk devices are marked as a, and a = 1, 2, …, b, where b represents the number of risk device labels, and the inspection starting point and inspection ending point of the substation are obtained, and the corresponding shortest inspection route is established as the target route, and the specific positions of the inspection starting point and the inspection ending point are set by the operator, then the risk device a is screened according to the target route as the standard, the risk device not existing on the target route is screened and marked as the device to be analyzed, and here the risk device not existing on the target route means that the straight line distance between the risk device and the target route is greater than the preset value S, the value of the preset value S is set by the operator, and the risk device is inserted into the target route Figure 2 is represented, Figure 2 There are two risk devices in the target route, which are risk device 1 and risk device 2, and the corresponding straight line distances are S1 and S2. After comparison, it is found that the straight line distance S1 is greater than the preset value S, so the corresponding risk device is classified as the device to be analyzed, and the risk device existing on the target route is marked as the route device, for example, the risk device S1 in the target route Figure 2 ;

[0048] The risk device is inserted into the target route Meanwhile, the device to be analyzed obtained by screening is analyzed, a point on the target route is obtained and marked as a route point, and the route point is selected according to the route device, and the corresponding route device is marked as a route point, then the number of risk devices on the left and right sides of the route point is judged and marked as La and Ra, and La represents the number of left side, and Ra represents the number of right side, and the number of risk devices on the left and right sides is compared;

[0049] If the number of risk devices on the left side is greater than that on the right side, the risk devices on the right side are analyzed first, and the shortest path is used as the standard to optimize the path of the risk device, then the left side risk device is analyzed, and the shortest distance is used as the standard to optimize the path of the left side risk device to obtain the optimization information;

[0050] If the number of risk devices on the right side is greater than that on the left side, the path optimization of the risk devices on different sides is carried out to obtain the optimization information.

[0051] For example, assuming that there is a power transmission line as the target route, and a certain tower is selected as the route point. According to statistics, there are 5 risk devices on the left side and 3 risk devices on the right side. Since the number on the left side is greater than that on the right side, the 3 risk devices on the right side are analyzed first, for example, there are three different paths to reach these risk devices on the right side, the shortest path is selected by calculating the length of each path, and the path is optimized, such as cleaning the obstacles on the path, adjusting the line direction, etc., to improve the efficiency and safety of reaching the risk devices on the right side. Then, the 5 risk devices on the left side are analyzed and optimized according to the shortest path standard, and finally the optimization information of the risk devices on the left and right sides is obtained.

[0052] Step S004, whether the optimization path and the target route exist route conflict is judged based on the obtained optimization information, and the conflict judgment result is analyzed, and the distance is analyzed to obtain the inspection path to generate the inspection information.

[0053] Obtain optimization information, and obtain the corresponding optimization path, and the optimization path here represents the optimization path of the risk equipment on both sides, then obtain the target route, and generate the route conflict result according to whether the optimization path exists U-turn, if the optimization path exists U-turn, it means that there is conflict between the two, and the conflict judgment result is generated, otherwise if the optimization path does not exist U-turn, it means that there is no conflict between the two, and the inspection information is directly generated, and the inspection information here is the route information including the risk equipment on both sides, then the conflict judgment result is analyzed;

[0054] Obtain the conflict path in the conflict judgment result, and the conflict path represents the inspection path segment with U-turn, and obtain all the risk equipment on the same side as the planning risk equipment, such as the conflict path is a certain segment in the right risk equipment, then obtain all the risk equipment on the right side, and calculate all the non-conflict paths h by analyzing the position of the planning risk equipment, and h=1, 2, …, r, and calculate the distance value of the non-conflict path h and mark it as Jh, and the distance value here is represented as the total mileage of the path, and compare the distance values of all non-conflict paths h and the conflict path, and select the non-conflict path with a distance value less than the distance value of the conflict path as the preselected non-conflict path, then generate the inspection information according to the preselected non-conflict path corresponding to the distance value.

[0055] Step S005, display the obtained inspection information to the corresponding operator.

[0056] Embodiment two, please refer to Figure 3 The application provides an intelligent power inspection system, which comprises a substation information acquisition unit, an information adaptive analysis unit, a path optimization unit and an information output unit, and combines with the accompanying Figure 3 It can be known that all the functional units above are single-directionally electrically connected.

[0057] The substation information acquisition unit is used for acquiring the basic information of the substation, and the basic information comprises an inspection starting point, an inspection ending point and inspection equipment information, and the acquired basic information is transmitted to the adaptive analysis unit;

[0058] An adaptive analysis unit is configured to analyze the obtained basic information, filter the fault records in the historical inspection data, calculate the equipment abnormal value of the inspection equipment based on the fault records, classify the risk equipment and normal equipment according to the equipment abnormal value, and then transmit the risk equipment information to the path optimization unit, and the processing manner is the same as the processing process of step S002 in the first embodiment.

[0059] A path optimization unit is configured to determine the shortest inspection path according to the inspection starting point and the inspection ending point, perform inspection optimization based on the inspection position of the risk equipment to obtain optimization information, and then judge whether the optimized path conflicts with the target route based on the obtained optimization information, analyze the obtained conflict judgment result, analyze the distance to obtain the inspection path generation inspection information, and then transmit the generated inspection information to the information output unit.

[0060] An information output unit is configured to display the obtained inspection information to the corresponding operator.

[0061] Some data in the above formula are dimensionless numerical calculations, and the contents not described in detail in the specification all belong to the prior art known to those skilled in the art.

[0062] The above embodiments are only used to illustrate the technical method of the present application and are not limited. Although the present application 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 application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A power intelligent inspection method, characterized in that, The method specifically includes the following steps: Step S001: Obtain the plan view information of the substation based on GIS technology, and at the same time obtain the historical inspection data of the substation. Step S002: Filter the fault records in the historical inspection data, calculate the equipment anomaly value of the inspected equipment based on the fault records, and classify the equipment anomaly value into risk equipment and normal equipment. Step S003: Obtain all risk devices, determine the shortest inspection path based on the inspection start point and inspection end point, and optimize the inspection based on the inspection location of the risk devices to obtain optimization information. Step S004: Based on the obtained optimization information, determine whether the optimized path conflicts with the target route, analyze the conflict determination results, and simultaneously analyze the distance to obtain the inspection path and generate inspection information. The specific processing method is as follows: Obtain optimization information and the corresponding optimization path, then obtain the target route, and generate route conflict results based on whether the optimization path has a turnaround. If the optimization path has a turnaround, it means that there is a conflict between the two, and a conflict judgment result is generated. Conversely, if the optimization path does not have a turnaround, it means that there is no conflict between the two, and inspection information is directly generated. Then, the conflict judgment result is analyzed. Obtain the conflict path corresponding to the conflict judgment result, and at the same time obtain all risk equipment on the same side and record it as planned risk equipment. Analyze and calculate the location of the planned risk equipment to obtain all non-conflict paths and record them as h, where h = 1, 2, ..., r. Calculate the distance value of the non-conflict path h and record it as Jh. Compare the distance values ​​of all non-conflict paths h with those of the conflict paths, and filter out non-conflict paths with distance values ​​smaller than those of the conflict paths and record them as pre-selected non-conflict paths. Then, generate inspection information based on the pre-selected non-conflict paths corresponding to the distance values. Step S005: Display the obtained inspection information to the corresponding operator.

2. The intelligent power inspection method according to claim 1, characterized in that, The specific method for calculating the abnormal values ​​of the inspected equipment in step S002 is as follows: Acquire all historical inspection data and filter the fault records in the historical inspection data. Then, acquire all the inspected equipment and label them as n, where n = 1, 2, ..., m, and m represents the number of the inspected equipment. At the same time, acquire the fault records corresponding to the inspected equipment n, and obtain the total number of faults corresponding to the inspected equipment n based on the acquired fault records, denoted as Cn. Also, obtain the time interval value corresponding to the number of faults Cn, denoted as Tv. Next, acquire the fault level corresponding to the number of faults Cn and assign it a value according to the fault level. Finally, sum all the obtained values ​​to obtain the fault value, denoted as Fn. Substitute the obtained parameters into the formula The equipment anomaly value Qn corresponding to the inspected equipment n is calculated, where Zn is the total number of inspections. The preset ratio coefficient is set by the operator, and the risk equipment and normal equipment are identified by filtering based on the abnormal value Qn of the inspected equipment.

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

4. The intelligent power inspection method according to claim 1, characterized in that, The specific method for obtaining optimization information based on the inspection location of risky equipment in step S003 is as follows: All risky devices are labeled as 'a', where a = 1, 2, ..., b, and b represents the number of risky devices. The inspection start and end points of the substation are obtained, and the corresponding shortest inspection route is established and marked as the target route. Then, risky devices 'a' are screened based on the target route. Risky devices that do not exist on the target route are screened and marked as devices to be analyzed, while risky devices that exist on the target route are marked as route devices. Insertion analysis is then performed on the screened devices to be analyzed.

5. The intelligent power inspection method according to claim 4, characterized in that, The specific method for performing insertion analysis on the device to be analyzed in step S003 is as follows: Get a point on the target route and denote it as the route point. Then determine the number of risky devices on both sides of the route point and denote them as La and Ra respectively, where La represents the number on the left and Ra represents the number on the right. Compare the number of risky devices on the left and right sides. If the number of risky devices on the left is greater than the number of risky devices on the right, the risky devices on the right are analyzed first, and the path of the risky devices is optimized based on the shortest path. Then the risky devices on the left are analyzed, and the path of the risky devices on the left is optimized based on the shortest distance to obtain optimization information. If the number of risky devices on the right is greater than the number of risky devices on the left, the risky devices on the left should be analyzed first, and optimization information should be obtained.

6. A power intelligent inspection system, used to execute the power intelligent inspection method according to any one of claims 1-5, characterized in that, include: The substation information acquisition unit is used to acquire basic information about the substation, including the inspection start point, inspection end point, and inspection equipment information. At the same time, the acquired basic information is transmitted to the adaptive analysis unit. The 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, it calculates the equipment anomaly value of the inspected equipment based on the fault records, and classifies the equipment anomaly value into risk equipment and normal equipment. Then, the risk equipment information is transmitted to the path optimization unit. The path optimization unit is used to determine the shortest inspection path based on the inspection start point and inspection end point. At the same time, it performs inspection optimization based on the inspection location of the risk equipment to obtain optimization information. Then, based on the obtained optimization information, it judges whether the optimized path conflicts with the target route, analyzes the obtained conflict judgment results, analyzes the distance to obtain the inspection path, generates inspection information, and transmits the generated inspection information to the information output unit. The information output unit is used to display the acquired inspection information to the corresponding operators.

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