Partial discharge defect position identification method based on unmanned aerial vehicle

Abstract

The invention provides a partial discharge defect position identification method based on an unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicles, and the method specifically comprises the steps: carrying out the determination of the inspection time of the unit length of different inspection intervals according to the distribution condition of suspected partial discharge abnormal points in the inspection intervals, obtaining the weather data of an inspection plan time period, and obtaining the weather data of the inspection plan time period; the identification accuracy of the partial discharge defect position is determined by combining the transmission power and the voltage grade of the power transmission line, and when the identification accuracy meets the requirement, the inspection time per unit length and the partial discharge detection height are taken as the reference, the ultraviolet camera of the unmanned aerial vehicle is utilized to carry out partial discharge inspection processing in the inspection interval to obtain an ultraviolet image; and the partial discharge defect position is determined according to the analysis result of the ultraviolet image and the evaluation result of the consistency of the ultraviolet image and the visual image, so that the recognition processing accuracy of the partial discharge defect position is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of unmanned aerial vehicles, and in particular relates to a method for identifying the position of a partial discharge defect based on an unmanned aerial vehicle. Background Art

[0002] When transmission lines and their power equipment run for too long, insulation defects are inevitable. Therefore, how to use drones to detect insulation defects has become a technical problem that needs to be solved urgently.

[0003] In order to solve the above technical problems, in the invention patent application CN202211144302.7 "A UAV partial discharge detection system and method", the noise and partial discharge signal are separated by a soundproof wall that isolates the interference noise and adopts the beamforming algorithm in the voiceprint information processing module, which greatly improves the effect of isolating the interference noise. However, the existing technical solutions have the following technical problems: When an insulation defect occurs, in addition to the noise of the drone affecting the partial discharge signal, the noise of the air discharge of the transmission line will also affect the partial discharge signal. Therefore, the single voiceprint method cannot accurately detect insulation defects in the transmission line.

[0004] In response to the above technical problems, the present invention provides a method for identifying the location of partial discharge defects based on a drone. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In order to solve the above technical problems, the present invention provides a method for identifying the location of partial discharge defects based on a drone, which specifically includes: S1 obtains line loss data of a transmission line in different transmission power intervals, and determines the partial discharge detection height of the transmission line by using the analysis result of the line loss data and the voltage level of the transmission line; S2 divides the transmission line into different inspection intervals using the tower setting data, determines suspected partial discharge abnormal points in different inspection intervals based on historical inspection data, and determines the inspection time per unit length of different inspection intervals according to the distribution of the suspected partial discharge abnormal points in the inspection intervals; S3 obtains weather data during the inspection plan period, and determines the recognition accuracy of the partial discharge defect location in combination with the transmission power and voltage level of the transmission line. When the recognition accuracy meets the requirements, proceed to the next step; S4 uses the inspection time per unit length and the partial discharge detection height as a benchmark, utilizes the ultraviolet camera of the drone to perform partial discharge inspection processing in the inspection interval to obtain an ultraviolet image, and determines the location of the partial discharge defect based on the analysis result of the ultraviolet image and the evaluation result of its consistency with the visible image.

[0006] The beneficial effects of the present invention are: 1. The partial discharge detection height of the transmission line is determined by using the analysis results of the line loss data and the voltage level of the transmission line, avoiding the technical problem that the accuracy of the detection processing does not meet the requirements due to the use of a fixed partial discharge detection height. It takes into account the impact of the difference in voltage levels on the inspection safety, and also takes into account the impact of the difference in line loss data on partial discharge abnormalities, thereby ensuring the accuracy and reliability of partial discharge detection.

[0007] 2. The location of the partial discharge defect is determined based on the analysis results of the ultraviolet image and the evaluation results of the consistency with the visible image. Not only the significance of the partial discharge features in the ultraviolet image at a specific location is taken into account, but also the corresponding position of the partial discharge features in the visible image is determined in combination with the evaluation results of the consistency of the visible image. The credibility of the partial discharge features is evaluated from the perspective of the corresponding position and the distribution and aggregation of the partial discharge features, thereby realizing accurate evaluation of the location of the partial discharge defect from multiple angles.

[0008] A further technical solution is that the line loss data is determined according to the line loss conditions of the transmission line in different transmission power intervals, specifically including the distribution range of the line loss rate in different transmission power intervals.

[0009] A further technical solution is that the voltage level of the transmission line is determined according to the rated voltage level of the transmission line.

[0010] A further technical solution is that the method for determining the partial discharge detection height of the transmission line is: Determining the minimum safety inspection height of the transmission line by using the voltage level of the transmission line; Calculating the line loss rate of the power transmission line in different transmission power intervals according to the analysis result of the line loss data, and determining the detection height required for different transmission power intervals by using the line loss rate; The partial discharge detection height of the transmission line is determined based on the detection heights required for different transmission power intervals and the lowest value of the minimum safety inspection height.

[0011] A further technical solution is to use the line loss rate to determine the detection height required for different transmission power intervals, specifically including: A baseline line loss rate of the transmission power interval is obtained, and a line loss rate deviation of the transmission power interval is determined based on a difference between the line loss rate and the baseline line loss rate, and a preset detection height corresponding to the line loss rate deviation is used as a detection height of the transmission power interval.

[0012] A further technical solution is that the suspected partial discharge anomaly point is the position of the power transmission line within the suspected anomaly interval of the image feature of the ultraviolet image.

[0013] A further technical solution is that the recognition accuracy of the partial discharge defect position ranges from 0 to 1, and when the recognition accuracy of the partial discharge defect position is less than a preset accuracy, it is determined that the recognition accuracy of the partial discharge defect position does not meet the requirements.

[0014] A further technical solution is that, when the recognition accuracy of the partial discharge defect position does not meet the requirements, the inspection time per unit length of the inspection interval is corrected according to the recognition accuracy to obtain a corrected inspection time per unit length of the inspection interval, and the corrected inspection time is used as the inspection time to perform inspection processing on the inspection interval.

[0015] A further technical solution is that the method for determining the position of the partial discharge defect is: Acquiring ultraviolet image features of the ultraviolet image based on the analysis result of the ultraviolet image, and determining basic partial discharge anomaly values ​​at specific locations according to the ultraviolet image features; Mapping the ultraviolet image to the visible image using a matching result between an ultraviolet image feature of the ultraviolet image and an image feature of the visible image, and determining a consistency result of a partial discharge position at the specific position at a device position in the visible image using the ultraviolet image feature, and determining a credibility of a partial discharge signal at the specific position based on a consistency evaluation result of the partial discharge position; The abnormality degree of the partial discharge signal at the specific position is determined according to the basic partial discharge abnormality value and the partial discharge signal credibility, and whether the specific position is a partial discharge defect position is determined based on the abnormality degree of the partial discharge signal.

[0016] A further technical solution is that when the abnormal degree of the partial discharge signal at the specific position does not meet the requirement, the specific position is determined to be a partial discharge defect position.

[0017] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0020] Figure 1 It is a flow chart of a method for identifying the location of partial discharge defects based on UAV; Figure 2 is a flow chart of a method for determining a partial discharge detection height of a transmission line; Figure 3 The present invention is a flow chart of a method for determining the inspection time per unit length of an inspection interval. DETAILED DESCRIPTION

[0021] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0022] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0023] To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a method for identifying the location of a partial discharge defect based on a drone is provided, which specifically includes: S1 obtains line loss data of a transmission line in different transmission power intervals, and determines the partial discharge detection height of the transmission line by using the analysis result of the line loss data and the voltage level of the transmission line; S2 divides the transmission line into different inspection intervals using the tower setting data, determines suspected partial discharge abnormal points in different inspection intervals based on historical inspection data, and determines the inspection time per unit length of different inspection intervals according to the distribution of the suspected partial discharge abnormal points in the inspection intervals; S3 obtains weather data during the inspection plan period, and determines the recognition accuracy of the partial discharge defect location in combination with the transmission power and voltage level of the transmission line. When the recognition accuracy meets the requirements, proceed to the next step; S4 uses the inspection time per unit length and the partial discharge detection height as a benchmark, utilizes the ultraviolet camera of the drone to perform partial discharge inspection processing in the inspection interval to obtain an ultraviolet image, and determines the location of the partial discharge defect based on the analysis result of the ultraviolet image and the evaluation result of its consistency with the visible image.

[0024] Furthermore, the line loss data is determined according to the line loss conditions of the transmission line in different transmission power intervals, and specifically includes the distribution range of the line loss rate in different transmission power intervals.

[0025] It can be understood that the voltage level of the transmission line is determined according to the rated voltage level of the transmission line.

[0026] Specifically, it should be noted that Figure 2 As shown, the method for determining the partial discharge detection height of the transmission line is: Determining the minimum safety inspection height of the transmission line by using the voltage level of the transmission line; Calculating the line loss rate of the power transmission line in different transmission power intervals according to the analysis result of the line loss data, and determining the detection height required for different transmission power intervals by using the line loss rate; The partial discharge detection height of the transmission line is determined based on the detection heights required for different transmission power intervals and the lowest value of the minimum safety inspection height.

[0027] It can be understood that the determination of the detection height required for different transmission power intervals using the line loss rate specifically includes: A baseline line loss rate of the transmission power interval is obtained, and a line loss rate deviation of the transmission power interval is determined based on a difference between the line loss rate and the baseline line loss rate, and a preset detection height corresponding to the line loss rate deviation is used as a detection height of the transmission power interval.

[0028] It should also be noted that the method for determining the partial discharge detection height of the transmission line is: S11 determines the minimum safety inspection height of the transmission line by using the voltage level of the transmission line, and calculates the line loss rate of the transmission line in different operation periods in different transmission power intervals according to the analysis result of the line loss data, and takes the operation period when the line loss rate is greater than the baseline line loss rate as the line loss deviation period; S12: taking the transmission power interval with the line loss deviation period as the line loss deviation power interval, obtaining the cumulative duration of the line loss deviation period of different line loss deviation power intervals, and combining the deviation between the line loss rate of the line loss deviation period of different line loss deviation kilometer intervals and the baseline line loss rate to calculate the line loss abnormal value of different line loss deviation power intervals; S13 uses the average value of the line loss rate in different operating time periods to determine the detection height required for different transmission power intervals, and determines the partial discharge detection height of the transmission line based on the detection height required for different transmission power intervals and the minimum value of the minimum safety inspection height.

[0029] Optionally, the above step S11 includes: The voltage level of the transmission line is used to determine the minimum safety inspection height of the transmission line. The line loss rate of the transmission line in different operating periods in different transmission power ranges is determined based on the analysis results of the line loss data. The operating period in which the line loss rate is greater than the baseline line loss rate is used as the line loss deviation period. It is determined whether the transmission line has a transmission power range with a line loss deviation period. If so, the process proceeds to step S12. If not, the partial discharge detection height of the transmission line is determined with the minimum safety inspection height.

[0030] Optionally, the above step S12 includes: S121: taking the transmission power interval with the line loss deviation period as the line loss deviation power interval, and judging whether the number of the line loss deviation power intervals is less than the preset number of intervals, if so, proceeding to the next step, if not, proceeding to step S13; S122 determines whether there is a line loss deviation power interval whose cumulative duration does not meet the requirement. If so, proceed to the next step. If not, determine the partial discharge detection height of the transmission line at the minimum safety inspection height. S123 obtains the accumulated duration of the line loss deviation time periods of different line loss deviation power intervals, and combines the line loss rates of the line loss deviation time periods of different line loss deviation kilometer intervals with the deviations of the baseline line loss rates to perform line loss abnormality values ​​of different line loss deviation power intervals, and determines whether there is a line loss deviation power interval where the line loss abnormality values ​​do not meet the requirements. If so, proceeds to step S13; if not, the partial discharge detection height of the transmission line is determined based on the minimum safe inspection height.

[0031] Furthermore, the suspected partial discharge anomaly point is the location of the power transmission line within the suspected anomaly interval of the image feature of the ultraviolet image.

[0032] Specifically, it should be noted that Figure 3 As shown, the method for determining the inspection time per unit length of the inspection interval is: Determine the number of times different suspected partial discharge abnormal points are identified as suspected abnormalities, and use it as the number of patrol abnormalities, use the number of patrol abnormalities to determine basic weight values ​​of different suspected partial discharge abnormal points, and determine the benchmark patrol time per unit length of the patrol interval based on the sum of the basic weight values ​​of different suspected partial discharge abnormal points; The suspected abnormal partial discharge points whose distances between adjacent suspected abnormal partial discharge points are less than a preset distance are regarded as adjacent abnormal partial discharge points, and the distribution density of the suspected abnormal partial discharge points in the inspection interval is determined according to the number of the adjacent abnormal partial discharge points; A correction amount of inspection time is determined based on the distribution density, and the inspection time per unit length of the inspection interval is determined using the sum of the correction amount of inspection time and the reference inspection time.

[0033] It can be understood that the method for determining the reference inspection time per unit length of the inspection interval is: The sum of the basic weight values ​​of the suspected partial discharge abnormal points is used as the partial discharge inspection abnormal value, and the preset inspection time corresponding to the partial discharge inspection abnormal value is used to determine the benchmark inspection time per unit length of the inspection interval.

[0034] It can also be understood that the method for determining the inspection time per unit length of the inspection interval is: Obtaining the number of suspected partial discharge abnormal points in the inspection interval, and when the number of suspected partial discharge abnormal points in the inspection interval is not within a preset partial discharge point number interval, determining the inspection time per unit length of the inspection interval based on the specified inspection time; When the number of suspected PD abnormal points in the inspection interval is within the preset PD point number range: Determine the number of times different suspected partial discharge abnormal points are identified as suspected abnormalities, and use it as the number of inspection abnormalities. When the total number of inspection abnormalities of the suspected partial discharge abnormal points in the inspection interval does not meet the requirements, determine the inspection time per unit length of the inspection interval based on the specified inspection time; When the total number of inspection anomalies of the suspected PD abnormal points in the inspection interval meets the requirements: The suspected abnormal partial discharge points whose distances between adjacent suspected abnormal partial discharge points are less than a preset distance are regarded as adjacent abnormal partial discharge points. When the number of adjacent abnormal partial discharge points does not meet the requirement, the inspection time per unit length of the inspection interval is determined based on the specified inspection time. When the number of adjacent abnormal partial discharge points meets the requirements: Determine the distribution density of the suspected abnormal partial discharge points in the inspection interval according to the number of adjacent abnormal partial discharge points and the distances between different adjacent abnormal partial discharge points and adjacent abnormal partial discharge points; when the distribution density of the suspected abnormal partial discharge points in the inspection interval does not meet the requirements, determine the inspection time per unit length of the inspection interval based on the specified inspection time; When the distribution density of suspected abnormal partial discharge points in the inspection interval meets the requirements: Determine basic weight values ​​of different suspected partial discharge abnormal points by using the number of abnormal inspections, and determine the benchmark inspection time per unit length of the inspection interval based on the sum of the basic weight values ​​of the different suspected partial discharge abnormal points; A correction amount of inspection time is determined based on the distribution density, and the inspection time per unit length of the inspection interval is determined using the sum of the correction amount of inspection time and the reference inspection time.

[0035] Furthermore, the method for determining the recognition accuracy of the partial discharge defect position is: Determine similar weather types during the inspection plan period using weather data during the inspection plan period, and determine discharge image features of normal insulation positions under similar weather types based on the transmission power and voltage level of the transmission line under the similar weather types; Determine a similarity coefficient according to the similarity between the discharge image features at the normal insulation position and different types of partial discharge image features at the partial discharge defect position, and use the similarity coefficient to determine the recognition accuracy of the image features of the different types of partial discharge image features; The number of power transmission devices corresponding to different types of partial discharge image features is determined, and the recognition accuracy of the partial discharge defect position is determined in combination with the recognition accuracy of the image features of different types of partial discharge image features.

[0036] It should also be noted that the recognition accuracy of the partial discharge defect position ranges from 0 to 1. When the recognition accuracy of the partial discharge defect position is less than a preset accuracy, it is determined that the recognition accuracy of the partial discharge defect position does not meet the requirements.

[0037] Furthermore, when the recognition accuracy of the partial discharge defect position does not meet the requirements, the inspection time per unit length of the inspection interval is corrected according to the recognition accuracy to obtain the corrected inspection time per unit length of the inspection interval, and the corrected inspection time is used as the inspection time to perform inspection processing on the inspection interval.

[0038] It should also be noted that the method for determining the recognition accuracy of the partial discharge defect position is: S31 determines similar weather types for the inspection plan period using the weather data for the inspection plan period, determines discharge image features of normal insulation positions under similar weather types based on the transmission power and voltage level of the transmission line under the similar weather types, and determines a similarity coefficient based on similarities between the discharge image features of the normal insulation positions and different types of partial discharge image features of partial discharge defect positions; S32 determines the recognition accuracy of image features of different types of partial discharge image features by using the similarity coefficient, takes the type of partial discharge image features whose recognition accuracy does not meet the requirements as the recognition deviation type, and takes the power transmission equipment with suspected partial discharge anomalies as suspected partial discharge anomaly equipment; S33 determines the identification error abnormality values ​​of different identification deviation types based on the number of suspected partial discharge abnormal devices corresponding to different identification deviation types and the number of times different suspected partial discharge abnormal devices are identified as suspected abnormalities, determines the identification deviation values ​​of different identification deviation types according to the number of power transmission devices corresponding to different types of identification deviation types and in combination with the recognition accuracy of image features of different types of identification deviation types, and determines the recognition accuracy of the partial discharge defect location through the identification error abnormality values ​​of different identification deviation types and the identification deviation values.

[0039] Specifically, it should be noted that the method for determining the position of the partial discharge defect is: Acquiring ultraviolet image features of the ultraviolet image based on the analysis result of the ultraviolet image, and determining basic partial discharge anomaly values ​​at specific locations according to the ultraviolet image features; Mapping the ultraviolet image to the visible image using a matching result between an ultraviolet image feature of the ultraviolet image and an image feature of the visible image, and determining a consistency result of a partial discharge position at the specific position at a device position in the visible image using the ultraviolet image feature, and determining a credibility of a partial discharge signal at the specific position based on a consistency evaluation result of the partial discharge position; The abnormality degree of the partial discharge signal at the specific position is determined according to the basic partial discharge abnormality value and the partial discharge signal credibility, and whether the specific position is a partial discharge defect position is determined based on the abnormality degree of the partial discharge signal.

[0040] Further, when the abnormal degree of the partial discharge signal at the specific position does not meet the requirement, the specific position is determined to be a partial discharge defect position.

[0041] Optionally, the above step S31 includes: S311 determines similar weather types during the inspection plan period using the weather data during the inspection plan period, and determines discharge image features of normal insulation positions under similar weather types based on the transmission power and voltage level of the transmission line under the similar weather types; S312 determines the similarity coefficient based on the similarity between the discharge image features of the normal insulation position and different types of partial discharge image features of the partial discharge defect position, and judges whether there is a type of partial discharge image feature whose similarity coefficient does not meet the requirements. If so, enters step S32; if not, determines that the recognition accuracy of the partial discharge defect position meets the requirements.

[0042] Optionally, the above step S32 includes: S321: using the similarity coefficient to determine the recognition accuracy of image features of different types of partial discharge image features, taking the type of partial discharge image features whose recognition accuracy does not meet the requirement as the recognition deviation type, and judging whether the number of the recognition deviation types meets the requirement, if yes, proceeding to the next step, if not, proceeding to step S33; S322: obtaining the number of power transmission devices corresponding to the identification deviation type, and determining whether the number of power transmission devices corresponding to the identification deviation type is less than a preset number of devices; if so, determining that the recognition accuracy of the partial discharge defect position meets the requirement; if not, proceeding to the next step; S323 regards the transmission equipment with suspected partial discharge anomalies as suspected partial discharge abnormal equipment, and determines whether the total number of suspected partial discharge abnormal equipment corresponding to different identification deviation types meets the requirements. If so, it is determined that the identification accuracy of the partial discharge defect position meets the requirements. If not, enter step S33.

[0043] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0044] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0045] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for identifying partial discharge defect locations based on drones, characterized in that: Specifically include: Acquire line loss data of a transmission line in different transmission power intervals, and determine the partial discharge detection height of the transmission line by using the analysis result of the line loss data and the voltage level of the transmission line; Divide the transmission line into different inspection intervals using the tower setting data, determine suspected partial discharge abnormal points in different inspection intervals based on historical inspection data, and determine the inspection time per unit length of different inspection intervals according to the distribution of the suspected partial discharge abnormal points in the inspection intervals; Acquire weather data during the inspection plan period, and determine the recognition accuracy of the partial discharge defect location in combination with the transmission power and voltage level of the transmission line, and proceed to the next step when the recognition accuracy meets the requirements; Based on the inspection time per unit length and the partial discharge detection height, the ultraviolet camera of the drone is used to perform partial discharge inspection in the inspection interval to obtain an ultraviolet image, and the location of the partial discharge defect is determined based on the analysis result of the ultraviolet image and the evaluation result of its consistency with the visible image.

2. The method for identifying partial discharge defect positions based on a drone as claimed in claim 1, characterized in that: The line loss data is determined according to the line loss conditions of the transmission line in different transmission power intervals, and specifically includes the distribution range of the line loss rate in different transmission power intervals.

3. The method for identifying partial discharge defect positions based on a drone as claimed in claim 1, characterized in that: The voltage level of the transmission line is determined according to the rated voltage level of the transmission line.

4. The method for identifying partial discharge defect positions based on a drone as claimed in claim 1, characterized in that: The method for determining the partial discharge detection height of the transmission line is: Determining the minimum safety inspection height of the transmission line by using the voltage level of the transmission line; Calculating the line loss rate of the power transmission line in different transmission power intervals according to the analysis result of the line loss data, and determining the detection height required for different transmission power intervals by using the line loss rate; The partial discharge detection height of the transmission line is determined based on the detection heights required for different transmission power intervals and the lowest value of the minimum safety inspection height.

5. The method for identifying partial discharge defect positions based on an unmanned aerial vehicle according to claim 4, characterized in that: Determining the detection height required for different transmission power intervals using the line loss rate specifically includes: A baseline line loss rate of the transmission power interval is obtained, and a line loss rate deviation of the transmission power interval is determined based on a difference between the line loss rate and the baseline line loss rate, and a preset detection height corresponding to the line loss rate deviation is used as a detection height of the transmission power interval.

6. The method for identifying partial discharge defect positions based on an unmanned aerial vehicle according to claim 1, characterized in that: The suspected partial discharge anomaly point is the location of the transmission line within the suspected anomaly interval of the image feature of the ultraviolet image.

7. The method for identifying partial discharge defect positions based on an unmanned aerial vehicle according to claim 1, characterized in that: The method for determining the inspection time per unit length of the inspection interval is: Determine the number of times different suspected partial discharge abnormal points are identified as suspected abnormalities, and use it as the number of patrol abnormalities, use the number of patrol abnormalities to determine basic weight values ​​of different suspected partial discharge abnormal points, and determine the benchmark patrol time per unit length of the patrol interval based on the sum of the basic weight values ​​of different suspected partial discharge abnormal points; The suspected abnormal partial discharge points whose distances between adjacent suspected abnormal partial discharge points are less than a preset distance are regarded as adjacent abnormal partial discharge points, and the distribution density of the suspected abnormal partial discharge points in the inspection interval is determined according to the number of the adjacent abnormal partial discharge points; A correction amount of inspection time is determined based on the distribution density, and the inspection time per unit length of the inspection interval is determined using the sum of the correction amount of inspection time and the reference inspection time.

8. The method for identifying partial discharge defect positions based on an unmanned aerial vehicle according to claim 1, characterized in that: The recognition accuracy of the partial discharge defect position has a value range of 0 to 1. When the recognition accuracy of the partial discharge defect position is less than a preset accuracy, it is determined that the recognition accuracy of the partial discharge defect position does not meet the requirement.

9. The method for identifying partial discharge defect positions based on an unmanned aerial vehicle according to claim 1, characterized in that: When the recognition accuracy of the partial discharge defect position does not meet the requirements, the inspection time per unit length of the inspection interval is corrected according to the recognition accuracy to obtain the corrected inspection time per unit length of the inspection interval, and the corrected inspection time is used as the inspection time to perform inspection processing on the inspection interval.

Images