Method and system for inspecting cable based on unmanned aerial vehicle

Abstract

The embodiment of the invention relates to the technical field of cable detection, and discloses a method for inspecting a cable based on an unmanned aerial vehicle, comprising the following steps: acquiring a cable line distribution diagram in a set area; obtaining environment characteristic parameters of each target cable section, and obtaining an environment characteristic influence degree of the corresponding target cable section according to the obtained environment characteristic parameters of each target cable section; receiving cable detection information for each target cable section, and analyzing the cable surface heat distribution data and the electromagnetic detection data to determine cable state parameters of each target cable section; and determining working state information of the corresponding target cable section according to the environmental characteristic influence degree of each target cable section and the cable state parameter of each target cable section. According to the cable inspection method based on the unmanned aerial vehicle, the surrounding environment of the inspection route is monitored, potential risk factors are recognized in advance in inspection, and it is ensured that the unmanned aerial vehicle efficiently completes the inspection task.

Description

Technical Field

[0001] The present invention relates to the technical field of cable detection, and particularly relates to a method and system for inspecting cables based on unmanned aerial vehicles (UAVs). Background Art

[0002] Currently, as one of the important power transmission lines, cables will cause negative impacts such as production stoppage and increased production costs in case of equipment failures, and even pose a threat to the safety of workers in severe cases. Therefore, it is of great significance to detect and solve cable faults in a timely manner to ensure the normal operation of equipment, improve the reliability and lifespan of equipment, and prevent such accidents. On the other hand, the rapid development of artificial intelligence and Internet of Things technologies has provided more possibilities and opportunities for cable fault repair. Automated repair technologies, including machine learning and UAVs, can make fault repair more efficient, accurate, and safe. Therefore, a cable repair method based on UAV inspection is provided to timely detect cable faults hidden underground and difficult to detect, and improve the efficiency of cable repair.

[0003] For example, in the invention patent with the publication number: CN110806178B, a disclosed intelligent cable detection method includes: drawing single wires; annealing the single wires to obtain metal single wires; detecting the metal single wires; stranding a plurality of detected metal single wires into a cable core; and wrapping an insulating layer around the cable core to obtain a cable, realizing the intelligent detection of the cable and improving the quality of the cable.

[0004] For example, in the invention patent with the publication number: CN115871901B, a disclosed sturgeon-like robot and a method for detecting submarine cable faults relate to the technical field of submarine cable detection. It includes a fish head part, a trunk unit, a fish tail part, and a control system. The fish head part includes a head shell, and two pectoral fins are symmetrically arranged on both sides of the head shell, and a dorsal fin is arranged on its top. The fish tail part is connected to the head shell through a plurality of trunk units and includes a tail shell and a caudal fin. The trunk unit includes a trunk shell and a steering drive mechanism, and each trunk unit is connected end to end in sequence. Each trunk unit cooperates with the fish head part to realize the overall swing of the sturgeon-like robot and provide the power for its forward movement. The control system includes a controller, a sonar, an image acquisition module, and a signal transmission module, and the image acquisition module is arranged at the front end of the head shell. This application uses sonar to find the position of the submarine cable, and identifies the fault type of the submarine cable through image acquisition and convolutional neural network, with fast search speed and accurate position judgment, adapting to the complex submarine environment.

[0005] Based on the above solutions, it is found that there are still some deficiencies in the current cable detection, which are specifically reflected in the following aspects: (1) The data of current cable detection is difficult to record and analyze, and the collected cable data is not comprehensive enough. For example, the abnormal thermal distribution on the cable surface cannot be detected in time, which is not conducive to the evaluation and prediction of the cable operation status. (2) The current accuracy of cable detection is limited, and it is easily interfered by environmental factors during cable maintenance, making it impossible to accurately evaluate the degree of cable abnormality. Therefore, designing a solution that can efficiently perform UAV monitoring has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0006] In view of the above defects, an embodiment of the present invention discloses a method for inspecting cables based on a UAV, which can achieve efficient unmanned cable inspection and improve the overall monitoring efficiency.

[0007] A first aspect of an embodiment of the present invention discloses a method for inspecting cables based on a UAV, including:

[0008] Obtain a cable line distribution map within a set area, where the cable line distribution map includes multiple cable line segments, determine an optimal inspection line based on the cable line distribution map, and divide the optimal inspection line to obtain each target cable segment;

[0009] Obtain the environmental characteristic parameters of each target cable segment, and obtain the environmental characteristic influence degree of the corresponding target cable segment according to the obtained environmental characteristic parameters of each target cable segment;

[0010] Receive cable detection information for each target cable segment, where the cable detection information includes cable surface thermal distribution data and electromagnetic detection data, and analyze the cable surface thermal distribution data and electromagnetic detection data to determine the cable state parameters of each target cable segment;

[0011] Determine the working state information of the corresponding target cable segment according to the environmental characteristic influence degree of each target cable segment and the cable state parameters of each target cable segment, and feedback the working state information to the corresponding staff.

[0012] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining a cable line distribution map within a set area, where the cable line distribution map includes multiple cable line segments, and determining an optimal inspection line based on the cable line distribution map includes:

[0013] Obtain a cable line distribution map within a set area, and traverse each cable distribution line in the cable line distribution map to determine an accessible inspection line;

[0014] Extract the line inspection information in the circuit to be inspected, where the line inspection information includes the line length, the altitude difference between the highest point and the lowest point;

[0015] Calculate the line evaluation index of each inspectable line according to a pre-configured evaluation calculation formula

[0016] Arrange the line evaluation indexes of each inspectable route in descending order, extract the inspectable route corresponding to the maximum line evaluation index, and mark it as the optimal inspection route, and divide the optimal inspection route to obtain each target cable segment.

[0017] As an alternative implementation, in the first aspect of the embodiments of the present invention, the line evaluation index according to the evaluation calculation formula is:

[0018]

[0019] where θ j represents the line evaluation index of the jth feasible inspection route, L j represents the route length of the jth feasible inspection route, H j represents the altitude difference between the lowest point and the highest point of the jth feasible inspection route, e represents the natural constant, L0 represents the set reference inspection route length, H0 represents the set reference inspection altitude difference, ζ1 represents the recommended degree influence factor corresponding to the set route length, ζ2 represents the recommended degree influence factor corresponding to the set inspection altitude difference, j represents the number of each feasible inspection route, j = 1, 2, 3,..., m, and m represents the total number of feasible inspection routes. The recommended degree influence factor here is the influence factor of the parameter on the line evaluation index.

[0020] As an alternative implementation, in the first aspect of the embodiments of the present invention, the obtaining the environmental characteristic parameters of each target cable segment and obtaining the corresponding environmental characteristic influence degree of each target cable segment according to the obtained environmental characteristic parameters of each target cable segment includes:

[0021] Based on the environmental monitoring points pre-deployed in each target cable segment, collect the geographical characteristic data of each environmental monitoring point of each target cable segment, where the geographical characteristic data includes environmental temperature data, environmental humidity data, and oxygen concentration data;

[0022] Calculate according to the environmental temperature data, environmental humidity data, and oxygen concentration data in the geographical characteristic data, each reference data in the standard cable database, and the environmental impact formula to determine the environmental characteristic influence degree of each target cable segment. As an alternative implementation, in the first aspect of the embodiments of the present invention, the environmental impact formula is:

[0023]

[0024] Among them, φ t represents the degree of influence of the environmental characteristics of the t-th target cable segment, Q it represents the environmental temperature data of the i-th environmental monitoring point of the t-th target cable segment, Q0 represents the reference environmental temperature, ΔQ represents the set critical deviation environmental temperature, rH it represents the environmental humidity data of the i-th environmental monitoring point of the t-th target cable segment, rH0 represents the reference environmental humidity, ΔrH represents the set critical deviation environmental humidity, ρ it represents the oxygen concentration data of the i-th environmental monitoring point of the t-th target cable segment, ρ0 represents the reference oxygen concentration, Δρ represents the set critical deviation oxygen concentration, ε1 represents the weight molecule of the environmental temperature influence setting, ε2 represents the weight molecule of the environmental humidity influence setting, ε3 represents the weight molecule of the environmental oxygen concentration influence setting, t represents the number of each target cable segment, t = 1, 2, 3,..., s, s represents the total number of target cable segments, i represents the number of each environmental monitoring point, i = 1, 2, 3,..., n, and n represents the total number of environmental monitoring points.

[0025] As an optional implementation manner, in the first aspect of the embodiments of the present invention, receiving the cable detection information for each target cable segment, where the cable detection information includes cable surface heat distribution data and electromagnetic detection data, and analyzing the cable surface heat distribution data and electromagnetic detection data to determine the cable state parameters of each target cable segment, including:

[0026] Receiving the infrared thermal imaging data of each target cable segment, and obtaining a number of temperature monitoring data from the infrared thermal imaging data, and performing data processing on the minimum temperature and the maximum temperature of each target cable according to the reference standard cable surface temperature stored in the cable database, and analyzing to obtain the surface heat distribution anomaly characteristic parameters of each target cable segment;

[0027] Performing ultrasonic detection on each target cable segment, collecting the propagation duration of the reflected wave and the waveform of the reflected wave, and monitoring the magnetic field intensity of each target cable segment, obtaining the reference standard propagation duration of the corresponding reflected wave and the reference standard reflected wave waveform from the cable database, comparing the waveform of the reflected wave with the reference standard reflected wave waveform for coincidence, and extracting the waveform length of the reflected wave and the coincidence waveform length, and analyzing to obtain the electromagnetic signal anomaly characteristic parameters of each target cable segment.

[0028] As an optional implementation manner, in the first aspect of the embodiments of the present invention, determining the working state information of the corresponding target cable segment according to the degree of influence of the environmental characteristics of each target cable segment and the cable state parameters of each target cable segment, including:

[0029] Match the first cable evaluation threshold of the cable from the cable database according to the degree of influence of environmental characteristics;

[0030] Compare the degree of influence of the environmental characteristics of each target cable segment with the first cable evaluation threshold. If the degree of influence of the environmental characteristics of the corresponding target cable segment is less than the first cable evaluation threshold, mark the target cable segment as a normal cable segment; if the degree of influence of the environmental characteristics of the corresponding target cable segment is not less than the first cable evaluation threshold, mark the target cable segment with a degree of influence of the environmental characteristics not less than the first cable evaluation threshold as an abnormal cable segment;

[0031] Combine the quantitative evaluation data obtained by comprehensively analyzing the surface heat distribution abnormal characteristic parameters and electromagnetic signal abnormal characteristic parameters of each target cable segment according to the abnormal estimation formula, and determine the working state information of the corresponding target cable segment according to the quantitative evaluation data; the abnormal estimation formula is:

[0032]

[0033] where η j represents the quantitative evaluation data of the j-th target cable segment, represents the surface heat distribution abnormal characteristic value of the j-th target cable segment, ω j represents the electromagnetic signal abnormal characteristic value of the j-th target cable segment, δ1 represents the set surface heat distribution influence weight factor, and δ2 represents the set electromagnetic signal influence weight factor.

[0034] A second aspect of the embodiment of the present invention discloses a system for inspecting cables based on an unmanned aerial vehicle, including:

[0035] The first acquisition module: used to acquire the cable line distribution map within a set area, the cable line distribution map includes a plurality of cable line segments, determine the optimal inspection line based on the cable line distribution map, and divide the optimal inspection line to obtain each target cable segment;

[0036] The second acquisition module: used to acquire the environmental characteristic parameters of each target cable segment, and obtain the degree of influence of the environmental characteristics of the corresponding target cable segment according to the obtained environmental characteristic parameters of each target cable segment;

[0037] The receiving module: used to receive the cable detection information for each target cable segment, the cable detection information includes cable surface heat distribution data and electromagnetic detection data, and analyze the cable surface heat distribution data and electromagnetic detection data to determine the cable state parameters of each target cable segment;

[0038] Analysis and evaluation module: used to determine the working status information of corresponding target cable segments according to the influence degree of environmental characteristics of each target cable segment and the cable status parameters of each target cable segment, and feedback the working status information to the corresponding staff.

[0039] A third aspect of an embodiment of the present invention discloses an electronic device, including: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the method for inspecting cables based on an unmanned aerial vehicle disclosed in the first aspect of the embodiment of the present invention.

[0040] A fourth aspect of an embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the method for inspecting cables based on an unmanned aerial vehicle disclosed in the first aspect of the embodiment of the present invention.

[0041] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0042] In the embodiment of the present invention, the method for inspecting cables based on an unmanned aerial vehicle monitors the environment around the inspection route, helps to identify potential risk factors in advance during the inspection, ensures the efficient completion of the inspection task by the unmanned aerial vehicle, clarifies the influence values of each cable segment by the surrounding environment, improves the working accuracy, and evaluates the abnormal conditions of the cables after the inspection task is completed, so as to better protect the cables and ensure the normal operation of the equipment. Description of the Drawings

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0044] Figure 1 is a schematic flowchart of the method for inspecting cables based on an unmanned aerial vehicle disclosed in the embodiment of the present invention;

[0045] Figure 2 is a schematic flowchart of determining the optimal inspection route disclosed in the embodiment of the present invention;

[0046] Figure 3 is a schematic flowchart of determining the influence degree of environmental characteristics disclosed in the embodiment of the present invention;

[0047] Figure 4 is a schematic flowchart of determining the working status disclosed in the embodiment of the present invention;

[0048] Figure 5It is a schematic structural diagram of a system for inspecting cables based on an unmanned aerial vehicle according to an embodiment of the present invention;

[0049] Figure 6 It is a schematic structural diagram of an electronic device according to an embodiment of the present invention. Detailed implementation manners

[0050] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0051] It should be noted that the terms "first", "second", "third", "fourth", etc. in the specification and claims of the present invention are used to distinguish different objects, rather than to describe a specific order. The terms "including" and "having" in the embodiments of the present invention and any variations thereof are intended to cover non-exclusive inclusion. Exemplarily, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these process, method, product or device.

[0052] Currently, there are still some deficiencies in cable detection, which are specifically reflected in the following aspects: (1) The data of current cable detection is difficult to record and analyze, and the collected cable data is not comprehensive enough. For example, it is impossible to detect the abnormal heat distribution on the cable surface in time, which is not conducive to the evaluation and prediction of the cable operation status. (2) The accuracy of current cable detection is limited, and it is easily interfered by environmental factors during cable maintenance, and the abnormal degree of the cable cannot be accurately evaluated. Based on this, the embodiments of the present invention disclose a method, system, electronic device and storage medium for inspecting cables based on an unmanned aerial vehicle, which monitor the surrounding environment of the inspection route, help to identify potential risk factors in advance during the inspection, ensure the efficient completion of the inspection task by the unmanned aerial vehicle, clarify the influence value of each cable section by the surrounding environment, improve the working accuracy, and evaluate the abnormal situation of the cable after the inspection task is completed, so as to better protect the cable and ensure the normal operation of the equipment.

[0053] Embodiment 1

[0054] Please refer to Figure 1 , Figure 1It is a schematic flowchart of a method for inspecting cables based on an unmanned aerial vehicle (UAV). Among them, the execution subject of the method described in the embodiments of the present invention is an execution subject composed of software or / and hardware. This execution subject can receive relevant information through wired or / and wireless means and can send certain instructions. Of course, it can also have certain processing functions and storage functions. This execution subject can control multiple devices, such as remote physical servers or cloud servers and related software, or can also be a local host or server and related software that performs relevant operations on devices placed somewhere. In some scenarios, it can also control multiple storage devices, and the storage devices can be placed in the same place or different places as the devices. As Figure 1 shown, the method for inspecting cables based on an unmanned aerial vehicle includes the following steps:

[0055] S101: Obtain a cable line distribution map within a set area. The cable line distribution map includes multiple cable line segments. Based on the cable line distribution map, determine the optimal inspection line, and divide the optimal inspection line to obtain each target cable segment;

[0056] S102: Obtain the environmental characteristic parameters of each target cable segment, and obtain the environmental characteristic influence degree of the corresponding target cable segment according to the obtained environmental characteristic parameters of each target cable segment;

[0057] S103: Receive cable detection information for each target cable segment. The cable detection information includes cable surface heat distribution data and electromagnetic detection data, and analyze the cable surface heat distribution data and electromagnetic detection data to determine the cable state parameters of each target cable segment;

[0058] S104: Determine the working state information of the corresponding target cable segment according to the environmental characteristic influence degree of each target cable segment and the cable state parameters of each target cable segment, and feedback the working state information to the corresponding staff.

[0059] The solution of the embodiments of the present invention describes a method for inspecting cables based on an unmanned aerial vehicle. Its technical effects are mainly reflected in the following aspects:

[0060] Efficient inspection planning: By obtaining the cable line distribution map within a set area and determining the optimal inspection line based on this distribution map, the inspection efficiency can be significantly improved. This method avoids the problems of repeated or missed inspection paths that may occur in traditional inspection methods, ensuring that the cable lines are comprehensively and effectively inspected.

[0061] Precise positioning and evaluation: By dividing the optimal inspection route into individual target cable segments and obtaining the environmental characteristic parameters of these cable segments, the precise evaluation of the cable status under different environmental conditions can be achieved. Environmental characteristic parameters (such as temperature, humidity, wind speed, etc.) have an important impact on the operating status of the cable. By quantifying the influence degree of these parameters, the health status of the cable can be judged more accurately.

[0062] Multi-dimensional detection and analysis: By receiving and analyzing the surface heat distribution data and electromagnetic detection data of the cable, the operating status of the cable can be reflected from multiple dimensions. The heat distribution data can reveal whether there is overheating in the cable, while the electromagnetic detection data can detect the insulation performance and electromagnetic field distribution of the cable, which helps to discover potential fault points.

[0063] Intelligent decision-making and feedback: According to the influence degree of environmental characteristics and cable status parameters, determine the working status information of each target cable segment and feedback this information to the corresponding staff. This intelligent decision-making process can greatly improve the timeliness and accuracy of fault handling, and reduce the power outage time and economic losses caused by cable faults.

[0064] Improve the safety and reliability of inspection: Using drones for inspection can reduce the safety risks in manual inspection and improve the reliability and consistency of inspection at the same time. Drones can perform inspection tasks in complex or inaccessible environments to ensure that the cable lines are comprehensively inspected.

[0065] More preferably, as Figure 2 shown, obtaining the cable line distribution map within the set area, the cable line distribution map includes multiple cable line segments, and determining the optimal inspection route based on the cable line distribution map includes:

[0066] S1011: Obtain the cable line distribution map within the set area, and traverse each cable distribution line in the cable line distribution map to determine the inspectable routes;

[0067] S1012: Extract the line inspection information in the inspectable circuit, and the line inspection information includes the line length and the altitude difference between the highest point and the lowest point;

[0068] S1013: Calculate the line evaluation index of each inspectable route according to the pre-configured evaluation calculation formula;

[0069] S1014: Arrange the line evaluation indexes of each inspectable route in descending order, extract the inspectable route corresponding to the maximum line evaluation index, and mark it as the optimal inspection route, and divide the optimal inspection route to obtain each target cable segment.

[0070] In the embodiments of the present invention, a cable line distribution map within a set area is obtained in an automated manner, and the optimal inspection route is determined based on this distribution map. This process reduces manual participation and improves work efficiency and accuracy. At the same time, algorithms are used to evaluate and select the inspectable routes, reflecting the characteristics of intelligence.

[0071] By traversing each cable distribution route in the cable line distribution map, extracting route inspection information (such as the route length, the altitude difference between the highest point and the lowest point, etc.), and calculating the route evaluation index using a pre-configured evaluation calculation formula based on this information, the optimal inspection route can be accurately located. This method comprehensively considers various factors, making the selected inspection route more reasonable and efficient.

[0072] By determining the optimal inspection route and dividing it into each target cable segment, inspection resources such as inspection personnel and inspection equipment can be more reasonably allocated. This helps to reduce resource waste during the inspection process and improve the inspection efficiency and quality.

[0073] When selecting the optimal inspection route, some safety factors can also be considered, such as avoiding high-risk areas and reducing the physical consumption of inspection personnel. This can not only improve the safety of the inspection work but also ensure the physical health of the inspection personnel. That is, when implementing specifically, the corresponding height change information can be associated to make an optimal judgment comprehensively.

[0074] This method can also be extended and modified according to actual needs. For example, the parameters of the evaluation calculation formula can be adjusted to adapt to different inspection scenarios and requirements, or new types of inspection information can be added to improve the accuracy of the evaluation. This scalability and flexibility make this method have a wider application prospect.

[0075] It should be understood that the recommended degree evaluation index of the feasible inspection route in this embodiment is specifically the quantitative evaluation data obtained by analyzing the length and altitude difference of the feasible inspection route, which is used to quantitatively evaluate the inspection difficulty of the feasible inspection route and provide a basis for the selection of the optimal inspection route.

[0076] The specific process of obtaining the cable distribution route map and determining the optimal inspection route is as follows: Obtain the cable distribution route map, traverse the cable distribution route to obtain each feasible inspection route, extract the route length of each feasible inspection route and the altitude difference between the lowest point and the highest point, and comprehensively calculate the recommended degree evaluation index of each feasible inspection route. The recommended degree evaluation index of the feasible inspection route can be obtained not only through the Q-Learning algorithm method based on training the route using states such as random, reward, and behavior, but also through rule-based methods, genetic algorithms, and simulated annealing algorithms, and can also be obtained by calculating through the line evaluation formula.

[0077] It should be understood that the cable distribution route map mainly includes the following contents: 1. The starting point and ending point of the cable: These are usually the two endpoints of the cable line, including the power access point and the load access point. 2. The path and direction of the cable: The route map should clearly show the path and direction of the cable, including straight segments, curved segments, broken line segments, etc. 3. The length and specifications of the cable: The length and specifications of the cable should be marked in the route map, including the cable model, conductor cross-sectional area, insulation material, etc. 4. The connection method and joint position of the cable: The connection method and joint position of the cable should be marked in the route map, including the cable joint model, joint position, number of joints, etc. 5. The identification and number of the cable: For the convenience of management and maintenance, the identification and number of the cable should be marked in the route map, including the name, number, color, etc. of the cable. The main purpose of the cable distribution route map is to help management and maintenance personnel understand the layout and configuration of the cable system, so as to carry out daily inspection, maintenance, fault troubleshooting and other work.

[0078] Specifically, according to the recommended degree evaluation index of each feasible inspection route, the recommended degree evaluation indexes of each feasible inspection route are arranged in descending order, and the feasible inspection route corresponding to the maximum recommended degree evaluation index is extracted and marked as the optimal inspection route, and the optimal inspection route is divided to obtain each target cable segment.

[0079] More preferably, the line evaluation index is calculated according to the evaluation calculation formula as follows:

[0080]

[0081] where, θ j represents the line evaluation index of the jth feasible inspection route, L j represents the route length of the jth feasible inspection route, H j represents the altitude difference between the lowest point and the highest point of the jth feasible inspection route, e represents the natural constant, L0 represents the set reference inspection route length, H0 represents the set reference inspection altitude difference, ζ1 represents the recommended degree influence factor corresponding to the set route length, ζ2 represents the recommended degree influence factor corresponding to the set inspection altitude difference, j represents the number of each feasible inspection route, j = 1, 2, 3,..., m, and m represents the total number of feasible inspection routes.

[0082] The formula in the embodiment of the present invention comprehensively considers the route length L j and the altitude difference H between the lowest point and the highest point jThese two key factors evaluate the advantages and disadvantages of different inspection routes through the product of their ratios to the set reference values (L0 and H0) and the recommendation degree influence factors (ζ1 and ζ2). This comprehensive consideration helps to select inspection routes that are both short and relatively flat (i.e., with a small altitude difference), thereby improving the inspection efficiency and safety.

[0083] By setting different reference inspection route lengths L0 and reference inspection altitude differences H0, as well as the recommendation degree influence factors (ζ1 and ζ2) corresponding to the route length and altitude difference, the evaluation criteria can be flexibly adjusted to adapt to the geographical characteristics and inspection requirements of different regions. This flexibility enables this formula to be widely applied to various inspection scenarios. This formula calculates a specific line evaluation index θ j , enabling the advantages and disadvantages of different inspection routes to be quantitatively represented. This quantitative evaluation result helps to more intuitively compare the advantages and disadvantages of different routes, making it easier to make the optimal choice. The parameters in this formula can all be directly measured or set, and the calculation process is relatively simple, without the need for complex mathematical models or algorithms. This makes this formula easy to implement and calculate in practical applications, improving work efficiency. By calculating the line evaluation index of each inspection route and selecting the route with the highest index as the optimal inspection route, the inspection resources can be more reasonably allocated. This helps to reduce resource waste during the inspection process and improve the inspection efficiency and quality.

[0084] More preferably, as Figure 3 shown, obtaining the environmental characteristic parameters of each target cable segment and obtaining the environmental characteristic influence degree of the corresponding target cable segment according to the obtained environmental characteristic parameters of each target cable segment includes:

[0085] S1021: Based on the environmental monitoring points pre-deployed on each target cable segment, collect the geographical characteristic data of each environmental monitoring point of each target cable segment, where the geographical characteristic data includes environmental temperature data, environmental humidity data, and oxygen concentration data;

[0086] S1022: Calculate according to the environmental temperature data, environmental humidity data, and oxygen concentration data in the geographical characteristic data, each reference data in the standard cable database, and the environmental impact formula to determine the environmental characteristic influence degree of each target cable segment.

[0087] When carrying out the specific implementation, environmental monitoring points can be pre-deployed around each target cable segment in advance. These monitoring points can collect geographical feature data of the environment where the cable segment is located in real time or regularly. It can also be directly setting corresponding monitoring sensors on the unmanned aerial vehicle to detect data. The specific geographical feature data includes environmental temperature data, environmental humidity data, and oxygen concentration data. These data reflect the physical and chemical states of the environment where the cable segment is located and have a direct impact on the performance and lifespan of the cable.

[0088] When carrying out the specific implementation, there is a standard cable database that contains performance reference data of various types of cables under different environmental conditions. These data are used for comparative analysis with the real-time monitored environmental data. Using a pre-set environmental impact formula, the real-time monitored environmental temperature data, environmental humidity data, and oxygen concentration data are calculated and compared with the reference data in the standard cable database. This formula comprehensively considers the influence of environmental factors on cable material aging, performance degradation, etc., and can quantitatively evaluate the influence degree of the environmental characteristics of each target cable segment.

[0089] The solution of the embodiment of the present invention can accurately evaluate the influence degree of the environmental characteristics of each target cable segment through real-time monitoring and data analysis, providing a scientific basis for the maintenance and optimization of the cable system. By promptly discovering abnormal changes in environmental characteristic parameters, potential cable failures can be predicted, and measures can be taken in advance for intervention to avoid or reduce the occurrence of failures. According to the evaluation results of the influence degree of environmental characteristics, maintenance resources can be reasonably allocated, and priority can be given to maintaining and repairing the cable segments with a higher influence degree to improve maintenance efficiency. By continuously monitoring and evaluating the influence degree of environmental characteristics, potential environmental problems can be promptly discovered and solved, thereby enhancing the stability and reliability of the entire cable system.

[0090] The environmental impact formula is as follows:

[0091]

[0092] Among them, φ t represents the influence degree of the environmental characteristics of the t-th target cable segment, Q it represents the environmental temperature data of the i-th environmental monitoring point of the t-th target cable segment, Q0 represents the reference environmental temperature, ΔQ represents the set critical deviation environmental temperature, rH it represents the environmental humidity data of the i-th environmental monitoring point of the t-th target cable segment, rH0 represents the reference environmental humidity, ΔrH represents the set critical deviation environmental humidity, ρ itIt represents the oxygen concentration data of the i-th environmental monitoring point of the t-th target cable segment. ρ0 represents the reference oxygen concentration, Δρ represents the set critical deviation oxygen concentration, ε1 represents the set weight molecule of environmental temperature influence, ε2 represents the set weight molecule of environmental humidity influence, ε3 represents the set weight molecule of environmental oxygen concentration influence, t represents the number of each target cable segment, t = 1, 2, 3,..., s, s represents the total number of target cable segments, i represents the number of each environmental monitoring point, i = 1, 2, 3,..., n, and n represents the total number of environmental monitoring points.

[0093] In the embodiment of the present invention, through formula calculation, the influence degree (φ_t) of the environmental characteristics of each target cable segment can be quantitatively evaluated, enabling the management personnel to intuitively understand the environmental conditions of each cable segment. The formula includes three key environmental factors: environmental temperature (Q_it), environmental humidity (rH_it), and oxygen concentration (ρ_it), and respectively considers their deviations (ΔQ, ΔrH, Δρ) from the reference values and their respective influence weights (ε_1, ε_2, ε_3). This helps to comprehensively and accurately evaluate the comprehensive influence of environmental factors on the performance of the cable segment. The formula uses a logarithmic function and weighted summation method to comprehensively process the data of multiple environmental monitoring points, effectively reducing the influence of abnormal fluctuations of a single data point on the overall evaluation result and improving the accuracy of the evaluation.

[0094] Based on the calculated influence degree of environmental characteristics, the management personnel can identify which cable segments have poor environmental conditions and need to be maintained or improved preferentially. This helps to reasonably allocate resources and improve the maintenance efficiency. The critical deviation values (ΔQ, ΔrH, Δρ) in the formula can be set according to the performance requirements of the cable material and historical data. When the actual monitoring data exceeds these critical values, the formula will give a higher influence degree value of environmental characteristics, prompting the management personnel to take timely measures to prevent potential failures.

[0095] More preferably, receiving the cable detection information for each target cable segment, the cable detection information includes cable surface heat distribution data and electromagnetic detection data, and analyzing the cable surface heat distribution data and electromagnetic detection data to determine the cable state parameters of each target cable segment, including:

[0096] Receiving the infrared thermal imaging data of each target cable segment, obtaining several temperature monitoring data from the infrared thermal imaging data, and processing the minimum temperature and maximum temperature of each target cable based on the reference standard cable surface temperature stored in the cable database to analyze and obtain the abnormal characteristic parameters of the surface heat distribution of each target cable segment;

[0097] Perform ultrasonic detection on each target cable segment, collect the propagation duration of the reflected wave and the waveform of the reflected wave, and monitor the magnetic field intensity of each target cable segment. Obtain the reference standard propagation duration and the reference standard reflected wave waveform of the corresponding reflected wave from the cable database. Overlap and compare the waveform of the reflected wave with the reference standard reflected wave waveform, extract the waveform length of the reflected wave and the overlapping waveform length, and analyze to obtain the electromagnetic signal abnormal characteristic parameters of each target cable segment.

[0098] The solution of the embodiment of the present invention obtains the temperature distribution data on the surface of the cable through infrared thermal imaging technology and compares it with the reference standard cable surface temperature, and can accurately detect the abnormal characteristics of the thermal distribution on the surface of the cable, such as problems like overheating and uneven temperature. At the same time, through ultrasonic detection and magnetic field intensity monitoring, the abnormal characteristics of the electromagnetic signals inside the cable can be further analyzed, such as potential problems like insulation layer damage and poor conductor contact. This comprehensive detection method improves the accuracy and reliability of cable condition detection.

[0099] This technical process can monitor the operating state of the cable in real time. Once abnormal characteristic parameters are found, an early warning can be issued in a timely manner to remind maintenance personnel to handle it. This helps to take preventive measures before problems occur and avoid serious consequences such as power outages and equipment damage caused by cable failures.

[0100] Through accurate analysis of the cable condition parameters, a targeted maintenance plan can be formulated. For cables in good condition, the inspection frequency and maintenance input can be appropriately reduced; for cables with abnormal characteristics, inspections and maintenance work can be prioritized. This differentiated maintenance strategy helps to improve maintenance efficiency and reduce maintenance costs.

[0101] It should be understood that in this embodiment, the surface thermal distribution abnormal characteristic value is specifically the quantitative evaluation data obtained by analyzing the minimum temperature, the maximum temperature difference, and the surface temperature of the target cable, and is used to quantitatively evaluate the surface thermal distribution abnormal characteristic value of the target cable, providing a basis for analyzing the abnormal degree of the cable.

[0102] Specifically, the process of the surface thermal distribution abnormal data of each target cable segment is as follows: Collect the infrared thermal imaging data of each target cable segment, extract and deploy several temperature monitoring points from it. According to the reference standard cable surface temperature stored in the cable database, perform data processing on the minimum temperature and the maximum temperature of each target cable, and analyze to obtain the surface thermal distribution abnormal characteristic value of each target cable segment. The surface thermal distribution abnormal characteristic value can be obtained not only through data analysis and model prediction methods, but also through expert evaluation and diagnosis, comparison tests and experiments, and can also be obtained through formula calculation. The specific calculation expression is:

[0103]

[0104] Among them, represents the surface thermal distribution anomaly eigenvalue of the j-th target cable segment, e represents the natural constant, represents the highest temperature of the j-th target cable segment, represents the lowest temperature of the j-th target cable segment, ΔQ B represents the set reference standard temperature difference, Q Bjr represents the temperature of the r-th temperature monitoring point of the j-th target cable segment, ΔQ j0 represents the set reference standard cable surface temperature, r represents the number of each temperature monitoring point, r = 1, 2, 3... h, r represents the number of each temperature monitoring point, h represents the total number of temperature monitoring points, k1 represents the temperature difference influence weight factor, and k2 represents the temperature influence weight factor.

[0105] It should be explained that for the surface thermal distribution anomaly data of each target cable segment in this embodiment, a drone equipped with an infrared thermal imager is started, flown and hovered according to each target cable segment, and the infrared thermal imager is used to measure the temperature of the cable surface. The drone transmits the collected infrared thermal imaging data to the ground control station or the cloud server, and the staff can process and analyze the image through the corresponding software to extract the temperature information on the cable surface.

[0106] It should be explained that the reference standard temperature difference and the reference standard cable surface temperature in this embodiment are both extracted from the cable database, and the analysis of the temperature difference and temperature influence weights improves the accuracy of the calculation results. The cable database is a system for storing and managing various information related to cables. It contains the following types of data: 1. Basic data: including basic information such as the specifications, models, manufacturers, and production dates of cables. 2. Technical data: This includes the electrical performance parameters of the cables, such as conductor resistance, insulation resistance, capacitance, inductance, etc., and mechanical performance parameters, such as tensile strength, bending radius, etc. 3. Installation and maintenance data: This includes information such as the installation location, installation method, and maintenance records of the cables. 4. Quality and safety data: This includes the quality inspection records, safety certification information, and fault records of the cables.

[0107] The functions of the cable database include: 1. Information management: Through the database, various cable-related information can be conveniently stored, queried, and managed, improving the efficiency and accuracy of information management. 2. Decision support: The information in the database can be used to support decision-making processes such as cable selection, design, installation, and maintenance, helping users make more reasonable and scientific decisions. 3. Quality control: Through the quality inspection records and safety certification information in the database, the quality of the cable can be monitored and controlled to ensure the quality and safety of the cable. 4. Fault troubleshooting: When a cable fails, the fault cause can be quickly located and corresponding treatment measures can be taken by querying the fault records and maintenance records in the database. The cable database is an important information management tool that can improve the efficiency and accuracy of cable management, support decision-making processes, ensure the quality and safety of cables, and facilitate fault troubleshooting and handling.

[0108] It should be understood that in this embodiment, the electromagnetic signal abnormal characteristic value is specifically the quantitative evaluation data obtained by analyzing the propagation duration and waveform of the reflected wave of the target cable, which is used to quantitatively evaluate the electromagnetic signal abnormal characteristic value of the target cable and provide a basis for analyzing the abnormal degree of the cable.

[0109] Specifically, for the electromagnetic signal abnormal data, the specific process is as follows: perform ultrasonic detection on each target cable segment, collect the propagation duration and waveform of the reflected wave, and monitor the magnetic field intensity of each target cable segment. At the same time, obtain the reference standard propagation duration and reference standard reflected wave waveform of the reflected wave from the cable database, perform a coincidence comparison between the waveform of the reflected wave and the reference standard reflected wave waveform, extract the waveform length and coincidence waveform length of the reflected wave, and analyze to obtain the electromagnetic signal abnormal characteristic value of each target cable segment. The electromagnetic signal abnormal characteristic value can be obtained not only through data analysis, model prediction, expert evaluation and diagnosis, and comparative testing and experimental methods, but also through comparative testing and experimental methods, and can also be obtained through formula calculation. The specific calculation expression is:

[0110]

[0111] where ω j represents the electromagnetic signal abnormal characteristic value of the jth target cable segment, T Bj represents the propagation duration of the reflected wave of the jth target cable segment, T0 represents the reference standard propagation duration, ΔT B represents the set allowable deviation propagation duration, H Dj represents the waveform length of the reflected wave of the jth target cable segment, H Cj represents the coincidence waveform length of the reflected wave of the jth target cable segment, λ1 represents the set weight factor for the influence of propagation duration, and λ2 represents the set weight factor for the influence of propagation waveform.

[0112] It should be explained that for the abnormal electromagnetic signal data of each target cable segment in this embodiment, a drone with the functions of detecting electromagnetic signals and ultrasonic signals is selected. An electromagnetic field sensor and an ultrasonic sensor are installed on the drone, and necessary calibration and debugging are carried out to ensure that the sensors can accurately detect and receive the electromagnetic signals and ultrasonic signals of the cable. The drone is started, flown according to each target cable segment, hovered, and the sensors are used to detect the electromagnetic signals and ultrasonic signals of the cable. The drone transmits the collected electromagnetic signal and ultrasonic signal data to the ground control station or the cloud server, and the staff can process and analyze the signals through the corresponding software.

[0113] More preferably, as Figure 4 shown, the method for determining the working state information of the corresponding target cable segment according to the influence degree of the environmental characteristics of each target cable segment and the cable state parameters of each target cable segment includes:

[0114] S1041: Matching the first cable evaluation threshold from the cable database according to the influence degree of the environmental characteristics;

[0115] S1042: Comparing the influence degree of the environmental characteristics of each target cable segment with the first cable evaluation threshold. If the influence degree of the environmental characteristics of the corresponding target cable segment is less than the first cable evaluation threshold, the target cable segment is marked as a normal cable segment; if the influence degree of the environmental characteristics of the corresponding target cable segment is not less than the first cable evaluation threshold, the target cable segment with an influence degree not less than the first cable evaluation threshold is marked as an abnormal cable segment;

[0116] S1043: Combining the quantization evaluation data obtained by comprehensively analyzing the surface heat distribution abnormal characteristic parameters and electromagnetic signal abnormal characteristic parameters of each target cable segment according to the abnormal estimation formula, and determining the working state information of the corresponding target cable segment according to the quantization evaluation data; the abnormal estimation formula is:

[0117]

[0118] where η j represents the quantization evaluation data of the jth target cable segment, represents the surface heat distribution abnormal characteristic value of the jth target cable segment, ω j represents the electromagnetic signal abnormal characteristic value of the jth target cable segment, δ1 represents the set surface heat distribution influence weight factor, and δ2 represents the set electromagnetic signal influence weight factor.

[0119] This technical process first matches the first cable evaluation threshold of the cable from the cable database according to the degree of influence of environmental characteristics, and then compares the degree of influence of environmental characteristics of each target cable segment with this threshold to preliminarily screen out normal cable segments and abnormal cable segments. Then, combined with the abnormal estimation formula, a comprehensive analysis is carried out on the abnormal characteristic parameters of the surface heat distribution and electromagnetic signal of the abnormal cable segments to obtain quantitative evaluation data, so as to determine its working status information. This comprehensive evaluation method can more comprehensively consider multiple influencing factors of the cable and improve the accuracy of the evaluation. Through this technical process, abnormal states of the cable, such as overheating and insulation layer damage, can be detected in a timely manner, and corresponding treatment measures can be taken to avoid serious consequences such as power outages and equipment damage caused by cable failures. This helps to improve the reliability and safety of the power system.

[0120] Specifically, for the abnormal degree of the target cable segment, the specific analysis process is as follows: The evaluation threshold of the abnormal degree index of the cable working state is matched from the database according to the degree index of the influence of environmental characteristics, and then the evaluation index of the abnormal degree of the cable working state of each target cable segment is compared with the cable abnormality. If the evaluation index of the abnormal degree of the cable working state of a certain target cable segment is less than the cable abnormality evaluation index threshold, then this target cable segment is marked as a normal cable segment. If the evaluation index of the abnormal degree of the cable working state of a certain target cable segment is greater than or equal to the cable abnormality evaluation index threshold, then this target cable segment is marked as an abnormal cable segment and a feedback warning is given.

[0121] It should be explained that the cable abnormality evaluation index threshold is usually determined according to factors such as the type, specification, use environment, and safety standard of the cable. These thresholds are used to judge whether the cable is in a normal working state or whether there are potential safety hazards. The cable generates heat during operation. If the temperature is too high, it may cause problems such as cable aging and deterioration of insulation performance. Therefore, the temperature of the cable is usually monitored, and a temperature threshold is set to judge whether the cable is in a normal working state. The insulation resistance is an important indicator of the insulation performance of the cable. The threshold of the insulation resistance is usually determined according to the rated voltage and use environment of the cable. Generally speaking, the insulation resistance should be higher than the specified minimum value to ensure good insulation performance of the cable. The specific values of the cable abnormality evaluation index threshold may vary due to different standards, specifications, and application scenarios. Therefore, in actual applications, appropriate thresholds should be determined according to specific situations, and combined with other detection means for comprehensive evaluation and analysis.

[0122] In the embodiment of the present invention, the method for inspecting cables based on an unmanned aerial vehicle (UAV) monitors the environment around the inspection route, helps to identify potential risk factors in advance during the inspection, ensures that the UAV efficiently completes the inspection task, determines the influence value of each cable segment affected by the surrounding environment, improves the working accuracy, and evaluates the abnormal conditions of the cables after the inspection task is completed, thereby better protecting the cables and ensuring the normal operation of the equipment.

[0123] Embodiment Two

[0124] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of the system for inspecting cables based on an unmanned aerial vehicle (UAV) disclosed in the embodiment of the present invention. As Figure 5 shown, the system for inspecting cables based on an unmanned aerial vehicle (UAV) may include:

[0125] The first acquisition module 21: configured to acquire a cable line distribution map within a set area, the cable line distribution map including a plurality of cable line segments, determine an optimal inspection route based on the cable line distribution map, and divide the optimal inspection route to obtain each target cable segment;

[0126] The second acquisition module 22: configured to acquire the environmental characteristic parameters of each target cable segment, and obtain the environmental characteristic influence degree of the corresponding target cable segment according to the acquired environmental characteristic parameters of each target cable segment;

[0127] The receiving module 23: configured to receive cable detection information for each target cable segment, the cable detection information including cable surface heat distribution data and electromagnetic detection data, and analyze the cable surface heat distribution data and the electromagnetic detection data to determine the cable state parameters of each target cable segment;

[0128] The analysis and evaluation module 24: configured to determine the working state information of the corresponding target cable segment according to the environmental characteristic influence degree of each target cable segment and the cable state parameters of each target cable segment, and feedback the working state information to the corresponding staff.

[0129] In the embodiment of the present invention, the method for inspecting cables based on an unmanned aerial vehicle (UAV) monitors the environment around the inspection route, helps to identify potential risk factors in advance during the inspection, ensures that the UAV efficiently completes the inspection task, determines the influence value of each cable segment affected by the surrounding environment, improves the working accuracy, and evaluates the abnormal conditions of the cables after the inspection task is completed, thereby better protecting the cables and ensuring the normal operation of the equipment.

[0130] Embodiment Three

[0131] Please refer to Figure 6 , Figure 6It is a schematic structural diagram of an electronic device disclosed in an embodiment of the present invention. The electronic device can be a computer, a server, etc. Of course, in certain cases, it can also be an intelligent device such as a mobile phone, a tablet computer, and a monitoring terminal, as well as an image acquisition device with processing functions. As Figure 6 shown, the electronic device may include:

[0132] A memory 510 storing executable program code;

[0133] A processor 520 coupled to the memory 510;

[0134] Wherein, the processor 520 calls the executable program code stored in the memory 510 and executes some or all of the steps in the method for inspecting cables based on an unmanned aerial vehicle in the first embodiment.

[0135] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute some or all of the steps in the method for inspecting cables based on an unmanned aerial vehicle in the first embodiment.

[0136] An embodiment of the present invention further discloses a computer program product, wherein when the computer program product runs on a computer, it enables the computer to execute some or all of the steps in the method for inspecting cables based on an unmanned aerial vehicle in the first embodiment.

[0137] An embodiment of the present invention further discloses an application publishing platform, wherein the application publishing platform is used to publish a computer program product, and when the computer program product runs on a computer, it enables the computer to execute some or all of the steps in the method for inspecting cables based on an unmanned aerial vehicle in the first embodiment.

[0138] In various embodiments of the present invention, it should be understood that the magnitudes of the serial numbers of the various processes do not necessarily mean the inevitable sequence of execution. The execution sequence of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0139] The unit described as a separated component may or may not be physically separated, and the component shown as a unit may or may not be a physical unit, that is, it may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0140] In addition, in each embodiment of the present invention, the various functional units may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0141] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests for causing a computer device (which can be a personal computer, a server, or a network device, etc., specifically, the processor in the computer device) to execute some or all of the steps of the methods described in the various embodiments of the present invention.

[0142] In the embodiments provided by the present invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A. B can also be determined according to A and / or other information.

[0143] Those of ordinary skill in the art can understand that some or all of the steps in the various methods of the embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electrically-erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium that can be used to carry or store data.

[0144] The above has introduced in detail the method, system, electronic device and storage medium for inspecting cables based on drones disclosed in the embodiments of the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for inspecting cables based on drone patrol, characterized in that, Including: Obtain a cable line distribution map within a set area, where the cable line distribution map includes multiple cable line segments. Based on the cable line distribution map, determine an optimal inspection route, and divide the optimal inspection route to obtain each target cable segment; Obtain the environmental characteristic parameters of each target cable segment, and based on the obtained environmental characteristic parameters of each target cable segment, obtain the environmental characteristic influence degree of the corresponding target cable segment; Receive cable detection information for each target cable segment, where the cable detection information includes cable surface heat distribution data and electromagnetic detection data, and analyze the cable surface heat distribution data and electromagnetic detection data to determine the cable status parameters of each target cable segment; Determine the working status information of the corresponding target cable segment according to the environmental characteristic influence degree of each target cable segment and the cable status parameters of each target cable segment, and feedback the working status information to the corresponding staff.

2. The method for inspecting cables based on an unmanned aerial vehicle as claimed in claim 1, wherein, The obtaining of the cable line distribution map within the set area, where the cable line distribution map includes multiple cable line segments, and determining the optimal inspection route based on the cable line distribution map includes: Obtain the cable line distribution map within the set area, and traverse each cable distribution line in the cable line distribution map to determine the inspectable routes; Extract the line inspection information in the inspectable circuit, where the line inspection information includes the line length, the altitude difference between the highest point and the lowest point; Calculate the line evaluation index of each inspectable route according to a pre-configured evaluation calculation formula; Arrange the line evaluation indexes of each inspectable route in descending order, extract the inspectable route corresponding to the maximum line evaluation index, and mark it as the optimal inspection route, and divide the optimal inspection route to obtain each target cable segment.

3. The method for inspecting cables based on an unmanned aerial vehicle as claimed in claim 2, wherein The line evaluation index according to the evaluation calculation formula is: Among them, θ j represents the line evaluation index of the j-th feasible inspection route, L j represents the route length of the j-th feasible inspection route, H j represents the altitude difference between the lowest point and the highest point of the j-th feasible inspection route, e represents the natural constant, L0 represents the set reference inspection route length, H0 represents the set reference inspection altitude difference, ζ1 represents the recommended degree influence factor corresponding to the set route length, ζ2 represents the recommended degree influence factor corresponding to the set inspection altitude difference, j represents the number of each feasible inspection route, j = 1, 2, 3,..., m, and m represents the total number of feasible inspection routes.

4. The method for inspecting cables based on an unmanned aerial vehicle as claimed in claim 2, wherein The obtaining of the environmental characteristic parameters of each target cable segment, and obtaining the environmental characteristic influence degree of the corresponding target cable segment based on the obtained environmental characteristic parameters of each target cable segment includes: Based on the environmental monitoring points pre-deployed on each target cable segment, collect the geographical characteristic data of each environmental monitoring point of each target cable segment, where the geographical characteristic data includes environmental temperature data, environmental humidity data, and oxygen concentration data; Calculate according to the environmental temperature data, environmental humidity data, and oxygen concentration data in the geographical characteristic data, each reference data in the standard cable database, and the environmental impact formula to determine the environmental characteristic influence degree of each target cable segment.

5. The method for inspecting cables based on drones as claimed in claim 4, wherein The environmental impact formula is: Among them, v t represents the degree of influence of the environmental characteristics of the t-th target cable segment, Q it represents the environmental temperature data of the i-th environmental monitoring point of the t-th target cable segment, Q0 represents the reference environmental temperature, ΔQ represents the set critical deviation environmental temperature, rH it represents the environmental humidity data of the i-th environmental monitoring point of the t-th target cable segment, rH0 represents the reference environmental humidity, ΔrH represents the set critical deviation environmental humidity, ρ it represents the oxygen concentration data of the i-th environmental monitoring point of the t-th target cable segment, ρ0 represents the reference oxygen concentration, Δρ represents the set critical deviation oxygen concentration, ε1 represents the set weight molecule of environmental temperature influence, ε2 represents the set weight molecule of environmental humidity influence, ε3 represents the set weight molecule of environmental oxygen concentration influence, t represents the number of each target cable segment, t = 1, 2, 3,..., s, s represents the total number of target cable segments, i represents the number of each environmental monitoring point, i = 1, 2, 3,..., n, n represents the total number of environmental monitoring points.

6. The method for inspecting cables based on an unmanned aerial vehicle as described in claim 1, wherein, The receiving of the cable detection information for each target cable segment, where the cable detection information includes cable surface heat distribution data and electromagnetic detection data, and analyzing the cable surface heat distribution data and electromagnetic detection data to determine the cable status parameters of each target cable segment includes: Receive the infrared thermal imaging data of each target cable segment, obtain several temperature monitoring data from the infrared thermal imaging data, and process the minimum and maximum temperatures of each target cable based on the reference standard cable surface temperature stored in the cable database, and analyze to obtain the surface thermal distribution anomaly characteristic parameters of each target cable segment; Perform ultrasonic detection on each target cable segment, collect the propagation duration of the reflected wave and the waveform of the reflected wave, and monitor the magnetic field intensity of each target cable segment. Obtain the reference standard propagation duration and reference standard reflected wave waveform of the corresponding reflected wave from the cable database, perform coincidence comparison between the waveform of the reflected wave and the reference standard reflected wave waveform, extract the waveform length of the reflected wave and the coincidence waveform length, and analyze to obtain the electromagnetic signal anomaly characteristic parameters of each target cable segment.

7. The method for inspecting cables based on drones as claimed in claim 1, wherein, Determine the working state information of the corresponding target cable segment according to the environmental characteristic influence degree of each target cable segment and the cable state parameters of each target cable segment, including: Match the first cable evaluation threshold from the cable database according to the environmental characteristic influence degree; Compare the environmental characteristic influence degree of each target cable segment with the first cable evaluation threshold. If the environmental characteristic influence degree of the corresponding target cable segment is less than the first cable evaluation threshold, mark the target cable segment as a normal cable segment; if the environmental characteristic influence degree of the corresponding target cable segment is not less than the first cable evaluation threshold, mark the target cable segment with an environmental characteristic influence degree not less than the first cable evaluation threshold as an abnormal cable segment; Combine the quantization evaluation data obtained by comprehensively analyzing the surface thermal distribution anomaly characteristic parameters and electromagnetic signal anomaly characteristic parameters of each target cable segment according to the anomaly estimation formula, and determine the working state information of the corresponding target cable segment according to the quantization evaluation data; the anomaly estimation formula is: Among them, η j represents the quantization evaluation data of the j-th target cable segment, represents the surface heat distribution abnormal characteristic value of the j-th target cable segment, ω j represents the electromagnetic signal abnormal characteristic value of the j-th target cable segment, δ1 represents the set surface heat distribution influence weight factor, and δ2 represents the set electromagnetic signal influence weight factor.

8. A system for inspecting cables based on drone patrol, characterized in that, Including: The first acquisition module: used to acquire the cable line distribution map within the set area. The cable line distribution map includes multiple cable line segments, determine the optimal inspection line based on the cable line distribution map, and divide the optimal inspection line to obtain each target cable segment; The second acquisition module: used to acquire the environmental characteristic parameters of each target cable segment, and obtain the environmental characteristic influence degree of the corresponding target cable segment according to the obtained environmental characteristic parameters of each target cable segment; The receiving module: used to receive the cable detection information for each target cable segment. The cable detection information includes cable surface thermal distribution data and electromagnetic detection data, and analyze the cable surface thermal distribution data and electromagnetic detection data to determine the cable state parameters of each target cable segment; The analysis and evaluation module: used to determine the working state information of the corresponding target cable segment according to the environmental characteristic influence degree of each target cable segment and the cable state parameters of each target cable segment, and feedback the working state information to the corresponding staff.

9. An electronic device, characterized in that, Including: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the method for inspecting cables based on an unmanned aerial vehicle according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program causes the computer to execute the method for inspecting cables based on an unmanned aerial vehicle according to any one of claims 1 to 7.

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