Method and device for analyzing aerial survey data of unmanned aerial vehicle in low-voltage transformer area

Abstract

The invention provides an analysis method and device for aerial survey data of an unmanned aerial vehicle in a low-voltage transformer area, and relates to the technical field of power grids. The unmanned aerial vehicle is used for aerial survey of the low-voltage transformer area, infrared induction data and video image data are obtained, then image recognition is carried out, a temperature map is drawn, operation state analysis is carried out based on an operation state image and the temperature map, and the operation states of all devices and power lines in the low-voltage transformer area are obtained. The unmanned aerial vehicle is used for surveying equipment and power lines in the low-voltage transformer area, the problems of high labor intensity, low surveying efficiency, potential safety hazards and the like of traditional manual surveying are solved, a basis is provided for planning and design of the low-voltage transformer area, and the surveying efficiency and surveying safety of the low-voltage transformer area are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power grid, and in particular to a method and device for analyzing drone aerial survey data of a low-voltage station area. Background Art

[0002] In the power system, the safety and stability of low-voltage equipment is an important guarantee for the stability of the power supply line. Regularly surveying each device in the substation, timely discovering existing hidden dangers and providing accurate locations for repairs are of great significance to the stable power supply of the power system.

[0003] For a long time, the survey of power supply network and substation in low voltage area has been carried out manually. The traditional manual survey method not only has problems such as high labor intensity, low survey efficiency and scattered detection quality, but also may cause personnel safety problems due to surveyors' misoperation and affect the safe operation of equipment. Summary of the invention

[0004] The present invention provides a method and device for analyzing drone aerial survey data of low-voltage substations, which can solve the problems of high labor intensity, low survey efficiency and potential safety hazards in traditional manual surveys, and improve the survey efficiency and survey safety of low-voltage substations.

[0005] In a first aspect, the present invention provides an analysis method for drone aerial survey data of a low-voltage substation, the analysis method comprising: obtaining drone aerial survey data of the area where the low-voltage substation is located; the aerial survey data comprises infrared sensing data and video image data of the low-voltage substation area; based on the video image data in the aerial survey data, image recognition is performed to obtain an operating status image of each device and power line in the low-voltage substation; based on the infrared sensing data in the aerial survey data, a temperature map of the low-voltage substation area is drawn; the temperature map comprises the temperature conditions of each device and power line; based on the operating status images of each device and power line in the low-voltage substation and the temperature map, the operating status of each device and power line is analyzed to obtain the operating status of each device and power line in the low-voltage substation.

[0006] In one possible implementation, image recognition is performed based on the video image data in the aerial survey data to obtain the operating status images of the equipment and power lines in the low-voltage substation, including: dividing the video image data in the aerial survey data into multiple frames of images; performing image recognition on the multiple frames of images to determine the equipment and power lines involved in the multiple frames of images; and dividing the multiple frames of images based on the equipment and power lines involved in the multiple frames of images to obtain the operating status images of the various devices and the operating status images of the power lines.

[0007] In a possible implementation, based on the devices and power lines involved in the multi-frame images, the multi-frame images are divided to obtain the operating status image of each device and the operating status image of the power lines, including: based on the devices and power lines involved in the multi-frame images, the multi-frame images are divided to obtain multi-frame related images of each device and multi-frame related images of each power line; based on the multi-frame related images of each device and the typical images of each device, similarity calculation is performed to obtain the operating status image of each device; the typical images of each device are images of each device taken at multiple typical angles; based on the multi-frame related images of each power line and the typical images of each power line, similarity calculation is performed to obtain the operating status image of each power line; the typical images of each power line are images of each power line taken at multiple typical angles.

[0008] In one possible implementation, a temperature map of a low-voltage substation area is drawn based on infrared sensing data in the aerial survey data, including: determining the temperature data of each location point in the low-voltage substation area based on the infrared sensing data in the aerial survey data; drawing a temperature map of the low-voltage substation area based on the temperature data of each location point in the low-voltage substation area and the installation location diagram of each equipment and power line.

[0009] In one possible implementation, based on the operating status images of each device and power line in the low-voltage substation and the temperature map, the operating status of each device and power line is analyzed to obtain the operating status of each device and power line in the low-voltage substation, including: based on the operating status image of each device or each power line in the low-voltage substation, as well as the normal state image and abnormal state image of each device or each power line, a first analysis result of each device and each power line is calculated; the first analysis result includes normal operation and abnormal operation; based on the temperature map and the normal operating temperature of each device and power line, a second analysis result of each device and each power line is determined; the second analysis result includes normal operation and high-risk operation; based on the first analysis result and the second analysis result, the operating status of each device and power line in the low-voltage substation is determined.

[0010] In one possible implementation, the operating status of each device and power line in the low-voltage substation is determined based on the first analysis result and the second analysis result, including: for any device or any power line, if the first analysis result is normal operation and the second analysis result is normal operation, then the operating status of the device or power line is determined to be a normal state; if the first analysis result is normal operation and the second analysis result is high-risk operation, then the operating status of the device or power line is determined to be a high-risk state; if the first analysis result is abnormal operation and the second analysis result is normal operation, then the operating status of the device or power line is determined to be a high-risk state; if the first analysis result is abnormal operation and the second analysis result is normal operation, then the operating status of the device or power line is determined to be a high-risk state; if the first analysis result is abnormal operation and the second analysis result is high-risk operation, then the operating status of the device or power line is determined to be a fault state.

[0011] In one possible implementation, the analysis method also includes: receiving a survey instruction input by a user; the survey instruction is used to instruct the drone to survey multiple devices or power lines; based on the survey instruction, determining the identification information of multiple devices and power lines; based on the identification information of multiple devices and power lines, and an installation location map of the area where the low-voltage substation is located, determining the location information of multiple devices and power lines; based on the location information of multiple devices and power lines, performing path planning and determining multiple paths; calculating the drone power consumption and path length of each of the multiple paths; determining the target path based on the drone power consumption and path length of each path; generating survey information based on the target path and the identification information of multiple devices and power lines; the survey information is used to instruct the drone to survey multiple devices and power lines according to the target path; and sending the survey information to the drone.

[0012] In one possible implementation, the analysis method also includes: performing image recognition based on video image data in the aerial survey data to determine the location information of each device in the low-voltage substation and the spacing information between each device; determining the qualified rate of the installation position of each device and the space utilization rate of the low-voltage substation based on the location information of each device, the spacing information between each device, and the standard spacing of each device; determining the evaluation coefficient of the low-voltage substation based on the qualified rate of the installation position of each device and the space utilization rate of the low-voltage substation, and the evaluation coefficient is used to characterize the layout of the installation position of each device in the low-voltage substation.

[0013] In a possible implementation, based on the operating status images of each device and power line in the low-voltage substation and the temperature map, the operating status of each device and power line is analyzed to obtain the operating status of each device and power line in the low-voltage substation, and it also includes: obtaining the operating data of multiple devices and power lines in high-risk status and fault status; based on the operating data of multiple devices and power lines in high-risk status and fault status, re-diagnosing multiple devices and power lines in high-risk status and fault status, and determining the re-diagnosis status of multiple devices and power lines; the re-diagnosis status includes a normal state, a high-risk state and a fault state; based on multiple devices and power lines whose re-diagnosis status is a high-risk state and a fault state, generating work order information, the work order information is used to instruct staff to conduct on-site surveys of multiple devices and power lines.

[0014] In the second aspect, an embodiment of the present invention provides an analysis device for drone aerial survey data of a low-voltage substation, and the analysis device includes: a communication module, used to obtain drone aerial survey data of the area where the low-voltage substation is located; the aerial survey data includes infrared sensing data and video image data of the low-voltage substation area; a processing module, used to perform image recognition based on the video image data in the aerial survey data, and obtain the operating status image of each device and power line in the low-voltage substation; based on the infrared sensing data in the aerial survey data, draw a temperature map of the low-voltage substation area; the temperature map includes the temperature conditions of each device and power line; based on the operating status image of each device and power line in the low-voltage substation, and the temperature map, analyze the operating status of each device and power line to obtain the operating status of each device and power line in the low-voltage substation.

[0015] In one possible implementation, the processing module is specifically used to divide the video image data in the aerial survey data into multiple frames of images; perform image recognition on the multiple frames of images to determine the equipment and power lines involved in the multiple frames of images; and divide the multiple frames of images based on the equipment and power lines involved in the multiple frames of images to obtain operating status images of each device and operating status images of the power lines.

[0016] In a possible implementation, the processing module is specifically used to divide the multi-frame images based on the devices and power lines involved in the multi-frame images to obtain multi-frame related images of each device and multi-frame related images of each power line; perform similarity calculation based on the multi-frame related images of each device and the typical images of each device to obtain the operating status image of each device; the typical image of each device is the image of each device taken at multiple typical angles; perform similarity calculation based on the multi-frame related images of each power line and the typical image of each power line to obtain the operating status image of each power line; the typical image of each power line is the image of each power line taken at multiple typical angles.

[0017] In one possible implementation, the processing module is specifically used to determine the temperature data of each location point within the low-voltage substation area based on the infrared sensing data in the aerial survey data; based on the temperature data of each location point within the low-voltage substation area, and the installation location diagram of each equipment and power line, draw a temperature map of the low-voltage substation area.

[0018] In one possible implementation, the processing module is specifically used to calculate a first analysis result of each device and each power line based on an operating status image of each device or each power line in the low-voltage substation, as well as a normal status image and an abnormal status image of each device or each power line; the first analysis result includes normal operation and abnormal operation; based on a temperature map and the normal operating temperature of each device and power line, a second analysis result of each device and each power line is determined; the second analysis result includes normal operation and high-risk operation; based on the first analysis result and the second analysis result, the operating status of each device and power line in the low-voltage substation is determined.

[0019] In one possible implementation, the processing module is specifically used to, for any device or any power line, if the first analysis result is normal operation and the second analysis result is normal operation, determine that the operating state of the device or power line is a normal state; if the first analysis result is normal operation and the second analysis result is high-risk operation, determine that the operating state of the device or power line is a high-risk state; if the first analysis result is abnormal operation and the second analysis result is normal operation, determine that the operating state of the device or power line is a high-risk state; if the first analysis result is abnormal operation and the second analysis result is normal operation, determine that the operating state of the device or power line is a high-risk state; if the first analysis result is abnormal operation and the second analysis result is high-risk operation, determine that the operating state of the device or power line is a fault state.

[0020] In one possible implementation, the communication module is also used to receive survey instructions input by the user; the survey instructions are used to instruct the drone to survey multiple devices or power lines; the processing module is also used to determine the identification information of multiple devices and power lines based on the survey instructions; determine the location information of multiple devices and power lines based on the identification information of multiple devices and power lines, and the installation location map of the area where the low-voltage substation is located; perform path planning based on the location information of multiple devices and power lines to determine multiple paths; calculate the drone power consumption and path length of each of the multiple paths; determine the target path based on the drone power consumption and path length of each path; generate survey information based on the target path and the identification information of multiple devices and power lines; the survey information is used to instruct the drone to survey multiple devices and power lines according to the target path; the communication module is also used to send the survey information to the drone.

[0021] In one possible implementation, the processing module is also used to perform image recognition based on the video image data in the aerial survey data to determine the location information of each device in the low-voltage substation and the spacing information between each device; determine the qualified rate of the installation position of each device and the space utilization rate of the low-voltage substation based on the location information of each device, the spacing information between each device, and the standard spacing of each device; determine the evaluation coefficient of the low-voltage substation based on the qualified rate of the installation position of each device and the space utilization rate of the low-voltage substation, and the evaluation coefficient is used to characterize the layout of the installation position of each device in the low-voltage substation.

[0022] In one possible implementation, the communication module is also used to obtain operating data of multiple devices and power lines in high-risk states and fault states; the processing module is also used to re-diagnose the multiple devices and power lines in high-risk states and fault states based on the operating data of the multiple devices and power lines in high-risk states and fault states, and determine the re-diagnosis states of the multiple devices and power lines; the re-diagnosis states include normal states, high-risk states and fault states; based on the multiple devices and power lines in the re-diagnosis states of high-risk states and fault states, work order information is generated, and the work order information is used to instruct staff to conduct on-site surveys of the multiple devices and power lines.

[0023] The present invention provides a method and device for analyzing drone aerial survey data of a low-voltage substation. The present invention uses a drone to conduct aerial survey of the area where the low-voltage substation is located to obtain infrared sensing data and video image data, then performs image recognition and draws a temperature map, performs operating status analysis based on the operating status image and the temperature map, obtains the operating status of each device and power line in the low-voltage substation, and realizes drone survey of each device and power line in the low-voltage substation, thereby solving the problems of high labor intensity, low survey efficiency and safety hazards in traditional manual survey, and improving the survey efficiency and survey safety of the low-voltage substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0025] Figure 1 It is a flow chart of a method for analyzing drone aerial survey data of a low-pressure station area provided by an embodiment of the present invention;

[0026] Figure 2 It is a structural schematic diagram of a device for analyzing drone aerial survey data of a low-pressure area provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0028] In the description of the present invention, unless otherwise specified, " / " means "or", for example, A / B can mean A or B. "And / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, "at least one" and "plurality" refer to two or more. The words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not limit them to be different.

[0029] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0030] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but may optionally include other steps or modules that are not listed, or may optionally include other steps or modules that are inherent to these processes, methods, products or devices.

[0031] In order to make the purpose, technical solutions and advantages of the present invention more clear, the following will be described through specific embodiments in conjunction with the accompanying drawings of the present invention.

[0032] As described in the background technology, the current low-voltage station area survey process has problems such as high labor intensity of manual survey, low survey efficiency and high safety risks.

[0033] To solve the above technical problems, Figure 1 As shown, an embodiment of the present invention provides a method for analyzing drone aerial survey data of a low-pressure area. The method includes steps S101-S104.

[0034] S101, obtaining the aerial survey data of the low-pressure area by the UAV.

[0035] In the embodiment of the present application, the aerial survey data includes infrared sensing data and video image data of the low-pressure station area.

[0036] It should be noted that the staff can set up the drone to perform temperature scans and image capture of the area where the low-pressure station is located to obtain aerial survey data.

[0037] S102: Perform image recognition based on the video image data in the aerial survey data to obtain the operating status images of various equipment and power lines in the low-voltage substation area.

[0038] In some embodiments, the operating status images of various devices and power lines in the low-voltage substation include real-time images of various devices and power lines taken from multiple angles.

[0039] As a possible implementation manner, step S102 may be specifically implemented as steps S1021 - S1023 .

[0040] S1021. Divide the video image data in the aerial survey data into multiple frame images.

[0041] S1022: Perform image recognition on the multiple frames of images to determine the devices and power lines involved in the multiple frames of images.

[0042] S1023. Divide the multiple frames of images based on the devices and power lines involved in the multiple frames of images to obtain an operating status image of each device and an operating status image of the power lines.

[0043] Exemplarily, step S1023 may be specifically implemented as steps A1-A3.

[0044] A1. Based on the devices and power lines involved in the multi-frame images, the multi-frame images are divided to obtain multi-frame related images of each device and multi-frame related images of each power line.

[0045] In some embodiments, the multiple frames of related images of a certain device are multiple frames of images including the device; the multiple frames of related images of a certain power line are multiple frames of images including the power line.

[0046] A2. Based on the multi-frame related images of each device and the typical image of each device, similarity calculation is performed to obtain the operating status image of each device.

[0047] In some embodiments, the typical images of each device are images taken by each device at multiple typical angles;

[0048] A3. Based on the multi-frame related images of each power line and the typical image of each power line, similarity calculation is performed to obtain the operating status image of each power line.

[0049] In some embodiments, the typical images of each power line are images of each power line taken at multiple typical angles.

[0050] S103. Draw a temperature map of the low-pressure area based on the infrared sensing data in the aerial survey data.

[0051] In the embodiment of the present application, the temperature map includes the temperature conditions of each device and power line.

[0052] As a possible implementation manner, step S103 may be specifically implemented as steps S1031 - S1032 .

[0053] S1031. Determine the temperature data of each location point in the low-pressure station area based on the infrared sensing data in the aerial survey data.

[0054] S1032. Draw a temperature map of the low-voltage area based on the temperature data of each location point in the low-voltage area and the installation location map of each device and power line.

[0055] S104. Based on the operating status images of the various devices and power lines in the low-voltage area and the temperature map, the operating status of the various devices and power lines is analyzed to obtain the operating status of the various devices and power lines in the low-voltage area.

[0056] As a possible implementation manner, step S104 may be specifically implemented as steps S1041 - S1043 .

[0057] S1041. Calculate a first analysis result of each device and each power line based on an operation status image of each device or each power line in the low voltage substation, and a normal status image and an abnormal status image of each device or each power line.

[0058] In some embodiments, the first analysis result includes normal operation and abnormal operation.

[0059] Exemplarily, for any device, an embodiment of the present invention can calculate a first similarity between an operating status image of the device and a normal status image of the device, and a second similarity between an operating status image of the device and an abnormal status image of the device; and then determine a first analysis result of the device based on the first similarity and the second similarity.

[0060] For example, if the first similarity is greater than a first threshold and the second similarity is less than a second threshold, then the first analysis result is determined to be operating normally.

[0061] For another example, if the first similarity is less than or equal to a first threshold, or the second similarity is greater than or equal to a second threshold, then the first analysis result is determined to be an operational abnormality.

[0062] Exemplarily, for any power line, an embodiment of the present invention can calculate a first similarity between an operating status image of the power line and a normal state image of the power line, and a second similarity between an operating status image of the power line and an abnormal state image of the power line; and then determine a first analysis result of the power line based on the first similarity and the second similarity.

[0063] For example, if the first similarity is greater than a first threshold and the second similarity is less than a second threshold, then the first analysis result is determined to be operating normally.

[0064] For another example, if the first similarity is less than or equal to the first threshold, or the second similarity is greater than or equal to the second threshold, the first analysis result is determined to be an operational abnormality. S1042: Based on the temperature map and the normal operating temperature of each device and power line, determine the second analysis result of each device and each power line.

[0065] In some embodiments, the second analysis result includes normal operation and high-risk operation.

[0066] Exemplarily, for any device, if the temperature difference between the temperature of the device and the normal operating temperature is greater than the set temperature difference, the second analysis result of the device is determined to be high-risk operation. If the temperature difference between the temperature of the device and the normal operating temperature is less than or equal to the set temperature difference, the second analysis result of the device is determined to be normal operation.

[0067] In another exemplary embodiment, for any device, if the temperature difference between the temperature of the power line and the normal operating temperature is greater than the set temperature difference, the second analysis result of the power line is determined to be high-risk operation. If the temperature difference between the temperature of the power line and the normal operating temperature is less than or equal to the set temperature difference, the second analysis result of the power line is determined to be normal operation.

[0068] S1043. Based on the first analysis result and the second analysis result, determine the operating status of each device and power line in the low-voltage substation.

[0069] Exemplarily, step S1043 may be specifically implemented as steps B1-B3.

[0070] B1. For any device or any power line, if the first analysis result is that the operation is normal, and the second analysis result is that the operation is normal, then it is determined that the operation state of the device or the power line is normal;

[0071] B2. If the first analysis result is normal operation and the second analysis result is high-risk operation, then the operation state of the equipment or power line is determined to be a high-risk state;

[0072] B3. If the first analysis result is abnormal operation and the second analysis result is normal operation, it is determined that the operation state of the equipment or power line is a high-risk state;

[0073] B4. If the first analysis result is abnormal operation and the second analysis result is high-risk operation, it is determined that the operating state of the equipment or power line is a fault state.

[0074] An embodiment of the present invention provides an analysis method for drone aerial survey data of a low-voltage substation. A drone is used to conduct aerial survey of the area where the low-voltage substation is located to obtain infrared sensing data and video image data. Image recognition is then performed to draw a temperature map. An operating status analysis is performed based on the operating status image and the temperature map to obtain the operating status of each device and power line in the low-voltage substation. The drone is used to survey the various devices and power lines in the low-voltage substation, which solves the problems of high labor intensity, low survey efficiency and safety hazards in traditional manual surveys, and improves the survey efficiency and survey safety of the low-voltage substation.

[0075] Optionally, the method for analyzing the low-pressure area UAV aerial survey data provided by the embodiment of the present invention also includes steps S201-S208.

[0076] S201. Receive a survey instruction input by a user.

[0077] In some embodiments, the survey instructions are used to instruct the drone to survey multiple devices or power lines.

[0078] It should be noted that the user can communicate with the drone through the host computer in the low-voltage area, or the user can also communicate with the drone through a handheld terminal to achieve communication and command interaction between the user and the drone.

[0079] S202: Determine identification information of multiple devices and power lines based on the survey instruction.

[0080] S203: Determine location information of multiple devices and power lines based on identification information of multiple devices and power lines and an installation location map of the area where the low-voltage substation is located.

[0081] S204: Perform path planning based on location information of multiple devices and power lines to determine multiple paths.

[0082] S205: Calculate the power consumption and path length of the drone of each of the multiple paths.

[0083] Exemplarily, the embodiment of the present invention can calculate the flight time of each path and the power consumption per unit time, and determine the product of the flight time and the power consumption per unit time as the power consumption of the drone for each path.

[0084] Illustratively, an embodiment of the present invention can calculate the first flight length required for multiple shooting angle conversions of each device in each path, the second flight length required for multiple shooting angle conversions of each power line, and the third flight length between each device and the power line; then the sum of the first flight length, the second flight length, and the third flight length is determined as the path length of each path.

[0085] S206: Determine the target path based on the power consumption of the drone and the path length of each path.

[0086] As a possible implementation manner, the embodiment of the present invention may determine the path corresponding to the minimum UAV power consumption as the target path.

[0087] As another possible implementation manner, the embodiment of the present invention may determine the path corresponding to the minimum path length as the target path.

[0088] As another possible implementation, the embodiment of the present invention may calculate the weighted sum of the power consumption of the drone and the path length of each path, and determine the path with the smallest weighted sum as the target path.

[0089] The weighted sum of the power consumption of the drone and the path length of each path is the sum of the product of the power consumption of the drone and the first weight, and the product of the path length and the second weight. The first weight is the weight value of the power consumption of the drone, and the second weight is the weight value of the path length. The first weight and the second weight are preset values ​​and can also be modified according to actual application conditions.

[0090] S207: Generate survey information based on the target path and identification information of multiple devices and power lines.

[0091] In some embodiments, the survey information is used to instruct the drone to survey multiple devices and power lines along a target path.

[0092] S208. Sending survey information to the UAV.

[0093] In this way, the embodiment of the present invention can automatically plan the path for each device and power line in the survey instruction, realize automatic survey, and comprehensively determine the survey path based on the power consumption of the drone and the path length, thereby saving the power consumption of the drone during survey.

[0094] Optionally, the method for analyzing the low-pressure area UAV aerial survey data provided by the embodiment of the present invention further includes steps S301-S303.

[0095] S301. Perform image recognition based on the video image data in the aerial survey data to determine the location information of each device in the low-voltage area and the spacing information between each device.

[0096] S302. Based on the location information of each device, the spacing information between each device, and the standard spacing of each device, determine the qualified rate of the installation location of each device and the space utilization rate of the low-voltage area.

[0097] S303. Determine the evaluation coefficient of the low-voltage area based on the qualified rate of the installation position of each device and the space utilization rate of the low-voltage area.

[0098] In some embodiments, the evaluation coefficient is used to characterize the layout of the installation location of each device in the low-voltage area.

[0099] In this way, the embodiment of the present invention can evaluate the installation position of each device based on the aerial survey data, evaluate whether the installation of each device is qualified, and provide a basis for the evaluation of the distribution network project.

[0100] Optionally, the method for analyzing the low-pressure area drone aerial survey data provided by the embodiment of the present invention further includes steps S401-S403 after step S104.

[0101] S401. Obtain operation data of multiple devices and power lines in high-risk states and fault states.

[0102] S402: Based on the operation data of the multiple devices and power lines in high-risk state and fault state, re-diagnose the multiple devices and power lines in high-risk state and fault state, and determine the re-diagnosis state of the multiple devices and power lines.

[0103] In some embodiments, the re-diagnosis status includes a normal status, a high risk status, and a fault status.

[0104] Exemplarily, the embodiment of the present invention can compare the operating data of multiple devices and power lines with normal state data to obtain a comparison result, and determine whether the multiple devices and power lines are at high risk or faulty based on the comparison result.

[0105] S403: Generate work order information based on multiple devices and power lines in a high-risk state and a fault state that are re-diagnosed.

[0106] In some embodiments, the work order information is used to instruct a worker to perform an on-site survey of a plurality of devices and power lines.

[0107] In this way, the embodiment of the present invention can re-diagnose the high-risk and faulty equipment through the operating data after the drone conducts the survey, thereby improving the accuracy of the equipment survey in the low-voltage area.

[0108] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0109] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0110] Figure 2 The schematic diagram of the structure of a low-pressure area drone aerial survey data analysis device provided by an embodiment of the present invention is shown. The analysis device 500 includes a communication module 501 and a processing module 502 .

[0111] The communication module 501 is used to obtain the aerial survey data of the low-pressure area by the UAV; the aerial survey data includes infrared sensing data and video image data of the low-pressure area.

[0112] Processing module 502 is used to perform image recognition based on the video image data in the aerial survey data to obtain the operating status images of various equipment and power lines in the low-voltage substation; draw a temperature map of the low-voltage substation area based on the infrared sensing data in the aerial survey data; the temperature map includes the temperature conditions of various equipment and power lines; based on the operating status images of various equipment and power lines in the low-voltage substation, and the temperature map, analyze the operating status of each equipment and power line to obtain the operating status of each equipment and power line in the low-voltage substation.

[0113] In one possible implementation, the processing module 502 is specifically used to divide the video image data in the aerial survey data into multiple frames of images; perform image recognition on the multiple frames of images to determine the equipment and power lines involved in the multiple frames of images; and divide the multiple frames of images based on the equipment and power lines involved in the multiple frames of images to obtain the operating status images of each device and the operating status images of the power lines.

[0114] In one possible implementation, the processing module 502 is specifically used to divide the multi-frame images based on the devices and power lines involved in the multi-frame images to obtain multi-frame related images of each device and multi-frame related images of each power line; perform similarity calculation based on the multi-frame related images of each device and the typical images of each device to obtain the operating status image of each device; the typical image of each device is an image of each device taken at multiple typical angles; perform similarity calculation based on the multi-frame related images of each power line and the typical image of each power line to obtain the operating status image of each power line; the typical image of each power line is an image of each power line taken at multiple typical angles.

[0115] In one possible implementation, the processing module 502 is specifically used to determine the temperature data of each location point within the low-pressure substation area based on the infrared sensing data in the aerial survey data; based on the temperature data of each location point within the low-pressure substation area, and the installation location diagram of each equipment and power line, draw a temperature map of the low-pressure substation area.

[0116] In one possible implementation, the processing module 502 is specifically used to calculate a first analysis result of each device and each power line based on an operating status image of each device or each power line in the low-voltage substation, as well as a normal status image and an abnormal status image of each device or each power line; the first analysis result includes normal operation and abnormal operation; based on a temperature map and the normal operating temperature of each device and power line, a second analysis result of each device and each power line is determined; the second analysis result includes normal operation and high-risk operation; based on the first analysis result and the second analysis result, the operating status of each device and power line in the low-voltage substation is determined.

[0117] In one possible implementation, the processing module 502 is specifically used to, for any device or any power line, if the first analysis result is normal operation and the second analysis result is normal operation, determine that the operating state of the device or power line is a normal state; if the first analysis result is normal operation and the second analysis result is high-risk operation, determine that the operating state of the device or power line is a high-risk state; if the first analysis result is abnormal operation and the second analysis result is normal operation, determine that the operating state of the device or power line is a high-risk state; if the first analysis result is abnormal operation and the second analysis result is high-risk operation, determine that the operating state of the device or power line is a fault state.

[0118] In one possible implementation, the communication module 501 is also used to receive survey instructions input by the user; the survey instructions are used to instruct the drone to survey multiple devices or power lines; the processing module 502 is also used to determine the identification information of multiple devices and power lines based on the survey instructions; determine the location information of multiple devices and power lines based on the identification information of multiple devices and power lines, and the installation location map of the area where the low-voltage substation is located; perform path planning based on the location information of multiple devices and power lines to determine multiple paths; calculate the drone power consumption and path length of each of the multiple paths; determine the target path based on the drone power consumption and path length of each path; generate survey information based on the target path and the identification information of multiple devices and power lines; the survey information is used to instruct the drone to survey multiple devices and power lines according to the target path; the communication module 501 is also used to send survey information to the drone.

[0119] In one possible implementation, the processing module 502 is also used to perform image recognition based on the video image data in the aerial survey data to determine the location information of each device in the low-voltage substation and the spacing information between each device; determine the qualified rate of the installation position of each device and the space utilization rate of the low-voltage substation based on the location information of each device, the spacing information between each device, and the standard spacing of each device; determine the evaluation coefficient of the low-voltage substation based on the qualified rate of the installation position of each device and the space utilization rate of the low-voltage substation, and the evaluation coefficient is used to characterize the layout of the installation position of each device in the low-voltage substation.

[0120] In one possible implementation, the communication module 501 is also used to obtain operating data of multiple devices and power lines in high-risk states and fault states; the processing module 502 is also used to re-diagnose multiple devices and power lines in high-risk states and fault states based on the operating data of multiple devices and power lines in high-risk states and fault states, and determine the re-diagnosis states of the multiple devices and power lines; the re-diagnosis states include normal states, high-risk states and fault states; based on multiple devices and power lines in high-risk states and fault states, work order information is generated, and the work order information is used to instruct staff to conduct on-site surveys of multiple devices and power lines.

[0121] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for analyzing drone aerial survey data in low-pressure areas, characterized in that: include: Acquire the aerial survey data of the low-pressure area by the drone; the aerial survey data includes infrared sensing data and video image data of the area of ​​the low-pressure area; Based on the video image data in the aerial survey data, image recognition is performed to obtain the operating status images of the various equipment and power lines in the low-voltage substation area; Based on the infrared sensing data in the aerial survey data, a temperature map of the area in the low-pressure station area is drawn; The temperature map includes the temperature conditions of various devices and power lines; Based on the operating status images of the various devices and power lines in the low-voltage area and the temperature map, the operating status of the various devices and power lines is analyzed to obtain the operating status of the various devices and power lines in the low-voltage area.

2. The method for analyzing the low-pressure area drone aerial survey data according to claim 1 is characterized in that: The image recognition is performed based on the video image data in the aerial survey data to obtain the operation status images of the equipment and power lines in the low-voltage substation area, including: Dividing the video image data in the aerial survey data into multiple frame images; Performing image recognition on the multiple frames of images to determine the devices and power lines involved in the multiple frames of images; Based on the devices and power lines involved in the multiple frames of images, the multiple frames of images are divided to obtain the operating status images of each device and the operating status images of the power lines.

3. The method for analyzing the low-pressure area drone aerial survey data according to claim 2 is characterized in that: The step of dividing the multiple frames of images based on the devices and power lines involved in the multiple frames of images to obtain the operating status images of the devices and the operating status images of the power lines includes: Based on the devices and power lines involved in the multiple frames of images, the multiple frames of images are divided to obtain multiple frames of related images of each device and multiple frames of related images of each power line; Based on the multi-frame related images of each device and the typical images of each device, similarity calculation is performed to obtain the operating status image of each device; the typical images of each device are images of each device taken at multiple typical angles; Based on the multi-frame related images of each power line and the typical images of each power line, similarity calculation is performed to obtain the operating status image of each power line; the typical images of each power line are images of each power line taken at multiple typical angles.

4. The method for analyzing the low-pressure area drone aerial survey data according to claim 1 is characterized in that: Drawing a temperature map of the area in the low-pressure station area based on the infrared sensing data in the aerial survey data includes: Determine the temperature data of each location point in the area of ​​the low-pressure station area based on the infrared sensing data in the aerial survey data; Based on the temperature data of each location point in the area of ​​the low-voltage area and the installation location map of each device and power line, a temperature map of the area of ​​the low-voltage area is drawn.

5. The method for analyzing the low-pressure area drone aerial survey data according to claim 1 is characterized in that: The operating status images of the devices and power lines in the low-voltage area and the temperature map are used to analyze the operating status of the devices and power lines to obtain the operating status of the devices and power lines in the low-voltage area, including: Based on the operation status image of each device or each power line in the low-voltage area, and the normal state image and abnormal state image of each device or each power line, calculate the first analysis result of each device and each power line; the first analysis result includes normal operation and abnormal operation; Based on the temperature map and the normal operating temperature of each device and power line, determine a second analysis result of each device and each power line; the second analysis result includes normal operation and high-risk operation; Based on the first analysis result and the second analysis result, the operating status of each device and power line in the low-voltage substation is determined.

6. The method for analyzing the low-pressure area drone aerial survey data according to claim 5 is characterized in that: The determining, based on the first analysis result and the second analysis result, the operating status of each device and power line in the low voltage area includes: For any device or any power line, if the first analysis result is that the operation is normal, and the second analysis result is that the operation is normal, then it is determined that the operation state of the device or the power line is normal; If the first analysis result is normal operation, and the second analysis result is high-risk operation, then determining that the operation state of the equipment or power line is a high-risk state; If the first analysis result is abnormal operation, and the second analysis result is normal operation, then determining that the operation state of the equipment or power line is a high-risk state; If the first analysis result is abnormal operation and the second analysis result is high-risk operation, it is determined that the operating state of the equipment or power line is a fault state.

7. The method for analyzing low-pressure area drone aerial survey data according to any one of claims 1 to 6, characterized in that: The analysis method further comprises: Receiving a survey instruction input by a user; the survey instruction is used to instruct the drone to survey multiple devices or power lines; Based on the survey instruction, determining identification information of the plurality of devices and power lines; Determine the location information of the plurality of devices and power lines based on the identification information of the plurality of devices and power lines and the installation location map of the area where the low voltage substation is located; Based on the location information of the multiple devices and power lines, path planning is performed to determine multiple paths; Calculating the power consumption and path length of the drone for each of the multiple paths; Determine a target path based on the power consumption of the drone and the path length of each path; Based on the target path and the identification information of the multiple devices and power lines, generate survey information; the survey information is used to instruct the drone to survey the multiple devices and power lines according to the target path; The survey information is sent to the drone.

8. The method for analyzing the low-pressure area drone aerial survey data according to any one of claims 1 to 6, characterized in that: The analysis method further comprises: Based on the video image data in the aerial survey data, image recognition is performed to determine the location information of each device in the low-voltage station area and the spacing information between each device; Based on the location information of each device, the spacing information between each device, and the standard spacing of each device, determine the qualified rate of the installation position of each device and the space utilization rate of the low-voltage area; Based on the qualified rate of the installation position of each device and the space utilization rate of the low-voltage area, the evaluation coefficient of the low-voltage area is determined, and the evaluation coefficient is used to characterize the layout of the installation position of each device in the low-voltage area.

9. The method for analyzing the low-pressure area drone aerial survey data according to any one of claims 1 to 6, characterized in that: After analyzing the operating status of each device and power line based on the operating status image of each device and power line in the low-voltage area and the temperature map to obtain the operating status of each device and power line in the low-voltage area, the method further includes: Obtain operating data of multiple devices and power lines in high-risk and fault conditions; Based on the operation data of the multiple devices and power lines in the high-risk state and the fault state, re-diagnose the multiple devices and power lines in the high-risk state and the fault state, and determine the re-diagnosis state of the multiple devices and power lines; the re-diagnosis state includes a normal state, a high-risk state and a fault state; Based on the multiple devices and power lines whose re-diagnosis status is a high-risk status and a fault status, work order information is generated, where the work order information is used to instruct a staff member to perform an on-site survey on the multiple devices and power lines.

10. An analysis device for drone aerial survey data of low-pressure areas, characterized in that: include: A communication module is used to obtain the aerial survey data of the low-pressure area by the drone; the aerial survey data includes infrared sensing data and video image data of the area of ​​the low-pressure area; A processing module, for performing image recognition based on the video image data in the aerial survey data to obtain the operating status images of the equipment and power lines in the low-voltage substation; and for drawing a temperature map of the area in the low-voltage substation based on the infrared sensing data in the aerial survey data; The temperature map includes the temperature conditions of each device and power line; based on the operating status images of each device and power line in the low-voltage substation, and the temperature map, the operating status of each device and power line is analyzed to obtain the operating status of each device and power line in the low-voltage substation.

Images