Beidou-based power operation and maintenance unmanned aerial vehicle inspection method and related equipment

Abstract

This application discloses a method and related equipment for power maintenance drone inspection based on BeiDou, relating to the field of intelligent operation and maintenance technology. The BeiDou-based power maintenance drone inspection method includes: acquiring a simplified task instruction received via a BeiDou short message communication link; performing inspection flight and data collection according to the simplified task instruction to collect power equipment status data; performing real-time analysis of the power equipment status data to generate a simplified defect report; and sending the simplified defect report to a preset control center via the BeiDou short message communication link. This application achieves reliable reception of inspection instructions and near real-time transmission of inspection results through BeiDou short messages. Based on real-time analysis of the collected raw status data at the drone end to generate a simplified defect report, it adapts to the limited transmission bandwidth of BeiDou short messages, shortening the defect discovery and reporting cycle.

Description

Technical Field

[0001] This application relates to the field of intelligent operation and maintenance technology, and in particular to a method and related equipment for power operation and maintenance drone inspection based on Beidou. Background Technology

[0002] High-voltage transmission lines often traverse complex geographical environments such as mountains, deserts, and forests. These areas often lack stable public network communication signal coverage, posing a significant challenge to traditional power operation and maintenance inspection work. Currently, using drones for line inspection has become an important means of improving efficiency.

[0003] Typically, drones can only store raw data locally, requiring manual analysis upon return. This results in a long defect discovery cycle and prevents real-time or near-real-time fault warnings. Furthermore, when a suspected defect is detected, the lack of remote interactive confirmation often necessitates secondary or even multiple flights for targeted re-inspection, significantly increasing maintenance and time costs and leading to low efficiency in power system maintenance. Summary of the Invention

[0004] The main purpose of this application is to provide a method and related equipment for power operation and maintenance drone inspection based on Beidou, aiming to solve the technical problem of low efficiency in power operation and maintenance.

[0005] To achieve the above objectives, this application proposes a BeiDou-based unmanned aerial vehicle (UAV) inspection method for power grid maintenance, the method comprising: Obtain simplified task instructions received via the BeiDou short message communication link; According to the simplified mission instructions, the inspection flight and data acquisition are carried out to obtain the status data of the power equipment. The status data of the power equipment is analyzed in real time to generate a simplified defect report; The simplified defect report is sent to the preset control center via the BeiDou short message communication link.

[0006] In one embodiment, the step of performing inspection flight and data acquisition according to the simplified mission instructions includes: The simplified task instructions are parsed to obtain the spatial coordinates of the target power equipment and the predefined inspection action sequence; Plan the flight path based on the spatial coordinates and conduct inspection flights according to the flight path; After arriving at the designated airspace corresponding to the spatial location coordinates, data is collected according to the instructions of the inspection action sequence.

[0007] In one embodiment, the step of performing real-time analysis of the power equipment status data to generate a simplified defect report includes: Feature extraction is performed on the visible light image of the acquired power equipment status to determine the morphological defects of the connecting components on the target power equipment. Temperature field analysis is performed on the infrared thermal imager data collected in the state of the power equipment to detect local overheated areas on the target power equipment; The spatial location of the morphological defects is correlated and fused with the local overheated area to determine the defect type; The defect types, morphological defects, and localized overheating areas are compiled to generate a simplified defect report.

[0008] In one embodiment, the step of sending the simplified defect report to a preset control center via the BeiDou short message communication link employs an adaptive scheduling method based on BeiDou signal quality and UAV status, including: Obtain the signal quality assessment parameters and remaining battery power of the current BeiDou short message communication link; Based on preset signal quality weights and power weights, the signal quality evaluation parameters and the remaining power are weighted and calculated to generate the current communication scheduling priority; Based on the current communication scheduling priority, the timing and frequency of sending the simplified defect report are dynamically adjusted, wherein when the scheduling priority indicator is high, the simplified defect report is sent immediately; When the scheduling priority indicator is low, the simplified defect report is temporarily stored and sent when the signal quality improves or a preset window period is reached.

[0009] In one embodiment, the step of generating the current communication scheduling priority by weighting the signal quality evaluation parameters and the remaining power according to preset signal quality weights and power weights includes: The signal quality assessment parameters are obtained by analyzing the carrier-to-noise ratio and bit error rate of the currently received BeiDou navigation signal; The power weight is dynamically set based on the difference between the remaining power and the power required for a safe return. The smaller the difference, the larger the power weight value. The signal quality evaluation parameters are multiplied by the signal quality weights to obtain a first product, and the remaining power is multiplied by the power weights to obtain a second product; The first product and the second product are summed, and it is determined whether the summation result meets a preset threshold range. Based on the threshold range met, the current communication scheduling priority is determined.

[0010] In one embodiment, after the step of sending the simplified defect report to a preset control center via the BeiDou short message communication link, the process includes: The system receives review instructions issued by the control center based on the simplified defect report via the BeiDou short message communication link. The review instruction is parsed to obtain refined review parameters for the identified defects. These refined review parameters include an updated observation angle, a closer shooting distance, or a higher level of sensor configuration. Supplementary data collection is performed based on the refined review parameters, and the supplementary data or the analysis results generated based on it are fed back to the control center through the Beidou short message communication link to complete the closed-loop management of defect verification.

[0011] Furthermore, to achieve the above objectives, this application also proposes a BeiDou-based power maintenance drone inspection device, which includes: The acquisition module is used to acquire simplified task instructions received through the BeiDou short message communication link; The data acquisition module is used to perform inspection flights and data acquisition according to the simplified task instructions, and to acquire power equipment status data. The analysis module is used to perform real-time analysis of the status data of the power equipment and generate a simplified defect report; The sending module is used to send the simplified defect report to a preset control center via the Beidou short message communication link.

[0012] In addition, to achieve the above objectives, this application also proposes a BeiDou-based power maintenance drone inspection device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the BeiDou-based power maintenance drone inspection method described above.

[0013] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps of the Beidou-based power maintenance drone inspection method described above.

[0014] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the BeiDou-based power maintenance drone inspection method described above.

[0015] One or more technical solutions proposed in this application have at least the following technical effects: In contrast to related technologies, drones typically store raw data locally, requiring manual analysis upon return. This results in long defect discovery cycles and hinders real-time or near-real-time fault warnings. Furthermore, when suspicious defects are detected, the lack of remote interactive confirmation often necessitates secondary or multiple flights for targeted re-inspection, significantly increasing maintenance and time costs and leading to low efficiency in power system maintenance. This application addresses this by acquiring simplified task instructions received via a BeiDou short message communication link; conducting inspection flights and data collection based on these instructions to acquire power equipment status data; performing real-time analysis of the power equipment status data to generate a simplified defect report; and transmitting the simplified defect report to a pre-set control center via the BeiDou short message communication link. Understandably, this application adopts a technical architecture that combines BeiDou short message communication with airborne edge intelligent analysis. When the UAV performs inspection tasks in power line areas without public network coverage, it uses BeiDou short message communication, a communication method that does not rely on ground infrastructure, to reliably receive inspection commands and transmit inspection results in near real-time, thereby achieving full-process continuity of inspection operations in communication blind spots. Therefore, based on real-time analysis of the raw status data collected at the UAV end, a simplified defect report is generated, which is adapted to the limited transmission bandwidth of BeiDou short message, and finally completes the closed loop from data collection to defect reporting, greatly shortening the defect discovery and reporting cycle. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating an embodiment of the BeiDou-based power maintenance drone inspection method of this application. Figure 2 A schematic diagram of a scenario provided for an embodiment of the power operation and maintenance drone inspection method based on BeiDou in this application; Figure 3 A simplified flowchart illustrating the BeiDou-based power maintenance drone inspection method provided in this application embodiment; Figure 4 This is a schematic diagram of the module structure of the Beidou-based power maintenance drone inspection device according to an embodiment of this application; Figure 5This is a schematic diagram of the equipment structure of the hardware operating environment involved in the Beidou-based power maintenance drone inspection method in the embodiments of this application.

[0019] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0021] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0022] The main solution in this application embodiment is: Obtain simplified task instructions received via the BeiDou short message communication link; According to the simplified mission instructions, the inspection flight and data acquisition are carried out to obtain the status data of the power equipment. The status data of the power equipment is analyzed in real time to generate a simplified defect report; The simplified defect report is sent to the preset control center via the BeiDou short message communication link.

[0023] In this embodiment, the application uses a Beidou-based power operation and maintenance drone inspection device as the execution subject. For ease of description, it will be referred to as "device" in the following detailed description.

[0024] Because existing and related technologies typically only allow drones to store raw data locally, requiring manual analysis upon return, defect detection cycles are long and real-time or near-real-time fault warnings cannot be achieved. Furthermore, when suspicious defects are detected, the lack of remote interactive confirmation often necessitates secondary or even multiple flights for targeted re-inspection, significantly increasing maintenance and time costs and resulting in low efficiency in power system maintenance.

[0025] This application provides a solution that adopts a technical architecture combining BeiDou short message communication and airborne edge intelligent analysis. When a UAV performs inspection tasks in power line areas without public network coverage, it uses BeiDou short message communication, a communication method that does not rely on ground infrastructure, to reliably receive inspection commands and transmit inspection results in near real-time, thereby achieving full-process continuity of inspection operations in communication blind spots. Therefore, based on real-time analysis of the raw status data collected at the UAV end, a simplified defect report is generated, which is adapted to the limited transmission bandwidth of BeiDou short message communication, ultimately completing a closed loop from data collection to defect reporting, greatly shortening the defect discovery and reporting cycle.

[0026] Based on this, this application provides a BeiDou-based unmanned aerial vehicle (UAV) inspection method for power operation and maintenance, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the BeiDou-based power maintenance drone inspection method of this application.

[0027] In this embodiment, the BeiDou-based power maintenance drone inspection method includes steps S10 to S40: Step S10: Obtain the simplified task instruction received through the BeiDou short message communication link; It should be noted that the BeiDou short message communication link refers to a two-way communication channel based on the RDSS (Radio Determination Service) of the Chinese BeiDou Navigation Satellite System. Its characteristic is that it does not rely on the public terrestrial mobile communication network and can achieve remote data transmission in areas without public network signal coverage. Simplified task instructions refer to structured control commands generated and issued by the control center. Their data volume has been optimized to accommodate the transmission capacity limitations of a single BeiDou short message. The instruction content includes, but is not limited to, the spatial coordinates of the target power equipment, predefined equipment inspection action sequences, and task identification information.

[0028] Understandably, through this step, the inspection system obtains initial input for performing specific inspection tasks in remote areas that do not rely on terrestrial network facilities, ensuring reliable reception of work instructions in communication blind spots and laying the foundation for subsequent autonomous operations.

[0029] Step S20: Perform inspection flight and data acquisition according to the simplified task instructions to collect power equipment status data; It should be noted that autonomous inspection flight and data acquisition refers to the process by which the UAV flight control system automatically plans and executes a flight path based on the analyzed route coordinates and its own BeiDou positioning information. After arriving at the target airspace, it automatically operates the onboard payload equipment according to the instructions. Power equipment status data is a collection of raw information about the operating status of the target power equipment acquired by the UAV through onboard sensors during the inspection process. This mainly includes high-definition image data acquired by a visible light camera and temperature distribution data acquired by an infrared thermal imager.

[0030] Understandably, this step automates the inspection process, replacing traditional manual remote-controlled flight and operation, reducing the workload and skill requirements for operators, and simultaneously acquiring visible light and infrared dual-spectral data for assessing equipment health status, providing a comprehensive data source for defect analysis.

[0031] Step S30: Perform real-time analysis on the status data of the power equipment to generate a simplified defect report; It should be noted that real-time analysis refers to the immediate processing and computation of power equipment status data collected during UAV flight using its onboard edge computing unit, without waiting for the data to be transmitted back to the ground center. A simplified defect report refers to a structured data packet generated after analysis and processing, which condenses the core defect conclusions. Its content includes, but is not limited to, the identified defect type, the precise location of the defect on the equipment, compressed image feature codes characterizing the visual features of the defect, and the corresponding timestamp. The total data volume is strictly controlled to meet the requirements for BeiDou short message transmission.

[0032] Understandably, this step, by moving the computation forward and extracting core information at the source of data acquisition, compresses the data to be transmitted from a massive stream of raw images into a stream of key features and conclusions. This resolves the contradiction between narrowband satellite communication and high-bandwidth inspection data, enabling rapid on-site identification of defects and generation of conclusions.

[0033] Step S40: The simplified defect report is sent to the preset control center via the Beidou short message communication link.

[0034] It should be noted that the transmission process employs a decision-making mechanism based on the communication link status and the UAV's own status to optimize transmission reliability. The control center refers to a server or workstation system deployed in the rear, equipped with BeiDou command and control or server access capabilities, capable of mission planning, command issuance, and report reception and processing.

[0035] Understandably, this step completes the information loop from on-site problem discovery to remote awareness of the problem, enabling ground maintenance personnel to obtain line defect information in near real-time before the drone finishes its inspection or during its return journey. This greatly shortens the cycle from the occurrence of a defect to its discovery by maintenance personnel, and buys valuable time for subsequent emergency decisions and maintenance arrangements.

[0036] This embodiment provides a BeiDou-based method for power line maintenance drone inspection. It employs a technical architecture combining BeiDou short message communication with airborne edge intelligent analysis. When the drone performs inspection tasks in power line areas without public network coverage, it achieves reliable reception of inspection commands and near real-time transmission of inspection results through BeiDou short message communication, a communication method independent of ground infrastructure. This enables seamless inspection operations even in communication blind spots. Furthermore, by performing real-time analysis of the collected raw status data on the drone, a simplified defect report is generated, adapting to the limited transmission bandwidth of BeiDou short messages. This ultimately completes a closed loop from data collection to defect reporting, significantly shortening the defect discovery and reporting cycle.

[0037] In one feasible implementation, the step of performing inspection flights and data acquisition according to the simplified mission instructions includes: The simplified task instructions are parsed to obtain the spatial coordinates of the target power equipment and the predefined inspection action sequence; Plan the flight path based on the spatial coordinates and conduct inspection flights according to the flight path; After arriving at the designated airspace corresponding to the spatial location coordinates, data is collected according to the instructions of the inspection action sequence.

[0038] It should be noted that parsing refers to the process of decoding and extracting information from received simplified task instructions in binary or encoded format. Spatial location coordinates are data based on the BeiDou coordinate system used to uniquely determine the location of target power equipment (such as towers, insulator strings, etc.) in three-dimensional space, typically including longitude, latitude, and altitude. A predefined inspection action sequence refers to a set of ordered operation instructions pre-set to achieve effective detection, including but not limited to hovering at a specific point, adjusting the gimbal's pitch and yaw angles, triggering visible light or infrared sensors to take pictures, and performing zoom operations. The flight path is a calculated flight path connecting the UAV's current point and the target inspection point, taking into account factors such as airspace safety, flight regulations, terrain obstacles, and energy consumption optimization. The designated airspace refers to the three-dimensional spatial range surrounding the target power equipment that meets safety distance requirements and the optimal working distance of the sensors.

[0039] Understandably, this implementation transforms abstract instructions into concrete, executable flight and data acquisition actions, automating the inspection task transition from reception to execution. Through precise coordinate guidance and sequential operations, it ensures that the UAV can autonomously and accurately reach the location of each device to be inspected, and collect high-quality status data in a standardized and repeatable manner. This reduces the uncertainty and variability of human operation, providing a data foundation for subsequent reliable analysis.

[0040] For example, refer to Figure 2 In one specific implementation scenario, the steps of conducting inspection flights and data acquisition according to the simplified task instructions include: parsing the received simplified task instructions, obtaining the BeiDou coordinates (longitude XXX.XXXX°E, latitude XXX.XXXX°N, altitude XXX meters) of the target power equipment (e.g., tower #123 of a transmission line) and a predefined inspection action sequence, such as "hovering 10 meters southeast of the tower, with a gimbal pitch angle of -15°, taking 3 visible light images; then adjusting to infrared mode to continuously collect the temperature of the insulator string." The UAV automatically plans and flies to the target airspace based on these coordinates, and upon arrival, executes the above action sequence in sequence, collecting power equipment status data through a visible light camera and an infrared thermal imager.

[0041] In one feasible implementation, the step of performing real-time analysis of the power equipment status data and generating a simplified defect report includes: Feature extraction is performed on the visible light image of the acquired power equipment status to determine the morphological defects of the connecting components on the target power equipment. Temperature field analysis is performed on the infrared thermal imager data collected in the state of the power equipment to detect local overheated areas on the target power equipment; The spatial location of the morphological defects is correlated and fused with the local overheated area to determine the defect type; The defect types, morphological defects, and localized overheating areas are compiled to generate a simplified defect report.

[0042] It should be noted that feature extraction refers to the use of computer vision algorithms to automatically identify and quantify the visual features of key components of power equipment (such as insulators, clamps, and grading rings) from visible light images, including aspects such as shape integrity, texture consistency, and color anomalies. Morphological defect assessment involves comparing the extracted features with a preset normal model to determine whether the component exhibits abnormalities such as damage, missing parts, deformation, corrosion, or dirt. Temperature field analysis involves processing the raw temperature data collected by infrared thermal imagers, including radiometric calibration, non-uniformity correction, and ambient temperature compensation, to generate an image or matrix reflecting the true temperature distribution on the equipment surface, and identifying areas where the temperature is significantly higher than the surrounding environment or similar equipment. Localized overheating areas refer to equipment parts identified through temperature field analysis whose temperatures exceed a preset safety threshold. Spatial location correlation and fusion diagnosis refers to using the spatial alignment of visible light and infrared images acquired at the same time to match and comprehensively analyze the locations of morphological anomalies with the locations of temperature anomalies. For example, it can determine whether a high-temperature point is located at a bolt connection or inside a clamp, thereby diagnosing the root cause and specific type of defect, such as overheating caused by poor contact or partial discharge overheating caused by insulator deterioration. Defect type is a label that classifies the diagnostic results based on industry standards or expert experience, such as "fitting overheating," "insulator zero value," and "conductor strand breakage."

[0043] Understandably, this implementation method achieves multi-dimensional and complementary detection of defects in power equipment by fusing visible light and infrared dual-spectral information. Visible light inspection alone is insufficient to detect internal heating defects, while infrared inspection alone sometimes fails to identify the specific component responsible for the heating element. Spatially correlating and fusing these two methods significantly improves the accuracy and reliability of defect diagnosis, reducing false alarms and false negatives. Simultaneously, transforming the raw data stream into a structured defect conclusion report greatly reduces the amount of data that needs to be transmitted back, making near real-time defect reporting via the narrowband channel of BeiDou short messages possible.

[0044] For example, refer to Figure 3 In one specific implementation scenario, the step of real-time analysis of the power equipment status data to generate a simplified defect report includes: For the acquired visible light images, a deep learning-based target detection algorithm (such as YOLOv5) is used to automatically identify connecting components such as insulators and clamps, and their morphological integrity is analyzed to determine whether there is damage, missing parts, or corrosion. Simultaneously, temperature field analysis is performed on the infrared thermal imager data, and temperature anomaly areas (such as a clamp temperature exceeding the ambient temperature by 30K) are identified through threshold segmentation and clustering algorithms. Subsequently, the locations of the components identified in the visible light images are pixel-level spatially aligned and correlated with the overheated areas in the infrared images. If the overheated area coincides with the clamp location, it is diagnosed as "poor clamp contact causing overheating." Finally, the defect type, location coordinates, temperature anomaly values, and representative image feature codes are integrated to generate a simplified defect report with a length not exceeding 300 bytes.

[0045] In one feasible implementation, the step of sending the simplified defect report to a preset control center via the BeiDou short message communication link employs an adaptive scheduling method based on BeiDou signal quality and UAV status, including: Obtain the signal quality assessment parameters and remaining battery power of the current BeiDou short message communication link; Based on preset signal quality weights and power weights, the signal quality evaluation parameters and the remaining power are weighted and calculated to generate the current communication scheduling priority; Based on the current communication scheduling priority, the timing and frequency of sending the simplified defect report are dynamically adjusted, wherein when the scheduling priority indicator is high, the simplified defect report is sent immediately; When the scheduling priority indicator is low, the simplified defect report is temporarily stored and sent when the signal quality improves or a preset window period is reached.

[0046] It should be noted that the adaptive scheduling method based on BeiDou signal quality and UAV status is a decision-making algorithm used to optimize communication behavior under resource-constrained conditions. The signal quality assessment parameter is an indicator used to quantify the reliability of the current BeiDou short message communication link. Remaining battery power refers to the current remaining capacity or estimated remaining flight time of the UAV's power battery. Signal quality weight and battery power weight are pre-set coefficients used to balance communication needs and flight safety, respectively weighting the importance of signal quality and battery power factors in the calculation. The current communication scheduling priority is a level identifier generated based on the weighted calculation results to guide transmission behavior. The preset window period refers to a periodic or conditional communication time interval set to ensure communication success rate.

[0047] Understandably, this implementation method intelligently decides when to transmit data by comprehensively assessing the real-time communication environment and its own energy status. This avoids data loss and energy waste caused by blindly sending data when the signal is extremely poor, and also prevents flight safety and return from jeopardizing power consumption due to communication when the battery is severely insufficient. On the shared and bandwidth-limited channel of BeiDou short message service, this method prioritizes the reliability of high-value and high-urgency information transmission, while optimizing the energy utilization efficiency of the entire system.

[0048] For example, in one specific implementation scenario, the step of sending the simplified defect report to a preset control center via the BeiDou short message communication link employs an adaptive scheduling method based on BeiDou signal quality and UAV status. For instance, the UAV monitors the current carrier-to-noise ratio (C / N0) and bit error rate (BER) of the BeiDou signal in real time. If C / N0 > 45 dB-Hz and BER < 10^-5, the signal quality assessment parameter is "excellent." Simultaneously, if the remaining battery power is 40% of the total power and a safe return requires 15% battery power, the battery weight is dynamically adjusted to a higher value. Through weighted calculation, the current communication scheduling priority is determined to be "high," and the system immediately sends the defect report via BeiDou short message. If the signal quality is poor (e.g., C / N0 < 35 dB-Hz) or the remaining battery power is close to the safety threshold, the priority drops to "low," and the report is temporarily stored locally, awaiting signal recovery or the arrival of a communication window period of 5 minutes before attempting to send it again.

[0049] In one feasible implementation, the step of generating the current communication scheduling priority by weighting the signal quality evaluation parameters and the remaining power according to preset signal quality weights and power weights includes: The signal quality assessment parameters are obtained by analyzing the carrier-to-noise ratio and bit error rate of the currently received BeiDou navigation signal; The power weight is dynamically set based on the difference between the remaining power and the power required for a safe return. The smaller the difference, the larger the power weight value. The signal quality evaluation parameters are multiplied by the signal quality weights to obtain a first product, and the remaining power is multiplied by the power weights to obtain a second product; The first product and the second product are summed, and it is determined whether the summation result meets a preset threshold range. Based on the threshold range met, the current communication scheduling priority is determined.

[0050] It should be noted that the carrier-to-noise ratio (CNR) is the ratio of the received BeiDou navigation signal power to the noise power, a key physical layer indicator for measuring signal strength and reception quality. The bit error rate (BER) is the proportion of erroneous bits transmitted during data transmission, directly reflecting the communication reliability of the link. The power required for a safe return is an estimate based on the UAV's current location, return point location, and current wind speed, representing the minimum amount of power needed to support the UAV's safe return to its takeoff point or designated backup landing point. The preset threshold range is one or more numerical intervals set to differentiate between different scheduling priorities.

[0051] Understandably, this step provides a concrete and quantifiable prioritization mechanism. Assessing communication potential by directly linking it to physical layer indicators of the BeiDou navigation signal makes the judgment of signal quality more objective and accurate. By dynamically binding power weights to return-to-base safety requirements, the system can automatically lower the priority of communication activities when energy is scarce, making the preservation of the flight platform a higher priority decision objective. This quantitative calculation method makes scheduling decisions consistent and predictable, avoiding problems that may arise from randomness or scheduling based on simple rules.

[0052] For example, in one specific implementation scenario, the step of weighting the signal quality assessment parameter and the remaining power according to preset signal quality weights and power weights to generate the current communication scheduling priority includes: setting the signal quality weight to 0.6 and the power weight to 0.4 (which can be dynamically adjusted according to the task stage). If the current signal quality assessment parameter (normalized) is 0.8 and the remaining power assessment parameter (calculated based on the return safety difference) is 0.3, then the weighted score = 0.8 × 0.6 + 0.3 × 0.4 = 0.6. The preset threshold range is: a score ≥ 0.5 is "high priority", 0.3 ≤ score < 0.5 is "medium priority", and a score < 0.3 is "low priority". In this example, the score is 0.6, so it is determined to be high priority, triggering immediate transmission.

[0053] In one feasible implementation, after the step of sending the simplified defect report to a preset control center via the BeiDou short message communication link, the following steps are included: The system receives review instructions issued by the control center based on the simplified defect report via the BeiDou short message communication link. The review instruction is parsed to obtain refined review parameters for the identified defects. These refined review parameters include an updated observation angle, a closer shooting distance, or a higher level of sensor configuration. Supplementary data collection is performed based on the refined review parameters, and the supplementary data or the analysis results generated based on it are fed back to the control center through the Beidou short message communication link to complete the closed-loop management of defect verification.

[0054] It should be noted that the review instruction is a further operational instruction issued by analysts or automated systems at the ground control center after reviewing the simplified defect report, in order to obtain more detailed and diagnostic information. Refined review parameters are the detailed settings carried in this instruction to guide the UAV in precise operations. For example, adjusting the observation angle from a direct view to a side view to observe crack depth, adjusting the shooting distance from ten meters to five meters to obtain higher resolution images, or switching the sensor configuration from wide-angle to telephoto shooting. Closed-loop management refers to a complete management process that includes execution, feedback, decision-making, and re-execution; here, it specifically refers to the entire process from initial defect discovery to completion of targeted review and confirmation.

[0055] For example, in one specific implementation scenario, after the step of sending the simplified defect report to a preset control center via the BeiDou short message communication link, the process includes: after receiving a report about "suspected damage to the insulator," the control center issues a review instruction via BeiDou short message, requiring the UAV to "re-capture a high-definition detailed image from a side angle, 5 meters away from the insulator, using zoom visible light mode." After parsing the instruction, the UAV automatically adjusts its flight position and sensor parameters, performs supplementary data acquisition, and feeds back the compressed detailed image or extracted crack feature parameters to the control center via BeiDou short message, thereby completing the closed loop from initial inspection to review in a single mission without the need for a second flight.

[0056] Understandably, this implementation method establishes an efficient remote interactive inspection process. It allows experts at the site to remotely guide targeted, more detailed checks using the same drone still operating on-site, without waiting for the drone to return or be redeployed after receiving an initial report. This significantly reduces the time required from identifying a suspected defect to obtaining a definitive diagnosis, shortening a process that might have taken hours or even days (including round-trip flights and manual scheduling) to minutes or tens of minutes. This significantly improves the efficiency and accuracy of defect checks, while avoiding the additional costs associated with organizing multiple dedicated flights for a single suspected defect.

[0057] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the Beidou-based power maintenance drone inspection method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0058] This application also provides a BeiDou-based power grid maintenance drone inspection device; please refer to [reference needed]. Figure 4The BeiDou-based power maintenance drone inspection device includes: The acquisition module 10 is used to acquire simplified task instructions received through the BeiDou short message communication link; The data acquisition module 20 is used to perform inspection flight and data acquisition according to the simplified task instructions, and to acquire power equipment status data. Analysis module 30 is used to perform real-time analysis of the status data of the power equipment and generate a simplified defect report; The sending module 40 is used to send the simplified defect report to a preset control center through the Beidou short message communication link.

[0059] The BeiDou-based power maintenance drone inspection device provided in this application, employing the BeiDou-based power maintenance drone inspection method described in the above embodiments, can solve the technical problem of low efficiency in power maintenance. Compared with the prior art, the beneficial effects of the BeiDou-based power maintenance drone inspection device provided in this application are the same as those of the BeiDou-based power maintenance drone inspection method provided in the above embodiments, and other technical features in the BeiDou-based power maintenance drone inspection device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0060] This application provides a BeiDou-based power maintenance drone inspection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to execute the BeiDou-based power maintenance drone inspection method in Embodiment 1 above.

[0061] The following is for reference. Figure 5 The diagram illustrates a structural schematic of a BeiDou-based power maintenance drone inspection device suitable for implementing embodiments of this application. The BeiDou-based power maintenance drone inspection device in this application embodiment can include, but is not limited to, mobile terminals such as mobile phones, tablets, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PMPs (Portable Media Players), vehicle-mounted terminals (e.g., vehicle navigation terminals), and fixed terminals such as digital televisions and desktop computers. Figure 5 The BeiDou-based power maintenance drone inspection equipment shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments in this application.

[0062] like Figure 5As shown, the BeiDou-based power maintenance drone inspection equipment may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the BeiDou-based power maintenance drone inspection equipment. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the BeiDou-based power maintenance drone inspection equipment to exchange data with other devices wirelessly or via wired communication. Although the figure shows a BeiDou-based power maintenance drone inspection equipment with various systems, it should be understood that implementing or possessing all the systems shown is not required. More or fewer systems can be implemented alternatively.

[0063] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0064] The BeiDou-based power maintenance drone inspection equipment provided in this application, employing the BeiDou-based power maintenance drone inspection method described in the above embodiments, can solve the technical problem of low efficiency in power maintenance. Compared with the prior art, the beneficial effects of the BeiDou-based power maintenance drone inspection equipment provided in this application are the same as those of the BeiDou-based power maintenance drone inspection method provided in the above embodiments, and other technical features of this BeiDou-based power maintenance drone inspection equipment are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0065] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0066] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0067] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the Beidou-based power maintenance drone inspection method in the above embodiments.

[0068] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0069] The aforementioned computer-readable storage medium may be included in the BeiDou-based power maintenance drone inspection equipment; or it may exist independently and not be assembled into the BeiDou-based power maintenance drone inspection equipment.

[0070] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the BeiDou-based power maintenance drone inspection equipment, enable the BeiDou-based power maintenance drone inspection equipment to: acquire simplified task instructions received via the BeiDou short message communication link; According to the simplified mission instructions, the inspection flight and data acquisition are carried out to obtain the status data of the power equipment. The status data of the power equipment is analyzed in real time to generate a simplified defect report; The simplified defect report is sent to the preset control center via the BeiDou short message communication link.

[0071] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0072] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0073] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0074] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., computer programs) for executing the above-described BeiDou-based power maintenance drone inspection method, which can solve the technical problem of low efficiency in power maintenance. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the BeiDou-based power maintenance drone inspection method provided in the above embodiments, and will not be repeated here.

[0075] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described BeiDou-based power maintenance drone inspection method.

[0076] The computer program product provided in this application can solve the technical problem of low efficiency in power operation and maintenance. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the Beidou-based power operation and maintenance drone inspection method provided in the above embodiments, and will not be repeated here.

[0077] All acquisition of signals, information, or actions in this application are carried out in compliance with the relevant data protection laws and policies of the country where the application is located, and with the authorization of the relevant device owner.

[0078] The above description is only a part of the embodiments of this application and does not limit the scope of protection of this application. All equivalent structural transformations made under the technical concept of this application and using the content of this application specification and drawings, or direct / indirect applications in other related technical fields, are included in the scope of protection of this application.

Claims

1. A method for power grid maintenance unmanned aerial vehicle (UAV) inspection based on BeiDou, characterized in that, The method includes: Obtain simplified task instructions received via the BeiDou short message communication link; According to the simplified mission instructions, the inspection flight and data acquisition are carried out to obtain the status data of the power equipment. The status data of the power equipment is analyzed in real time to generate a simplified defect report; The simplified defect report is sent to the preset control center via the BeiDou short message communication link.

2. The method as described in claim 1, characterized in that, The steps for conducting inspection flights and data acquisition according to the simplified mission instructions include: The simplified task instructions are parsed to obtain the spatial coordinates of the target power equipment and the predefined inspection action sequence; Plan the flight path based on the spatial coordinates and conduct inspection flights according to the flight path; After arriving at the designated airspace corresponding to the spatial location coordinates, data is collected according to the instructions of the inspection action sequence.

3. The method as described in claim 2, characterized in that, The step of performing real-time analysis of the power equipment status data and generating a simplified defect report includes: Feature extraction is performed on the visible light image of the acquired power equipment status to determine the morphological defects of the connecting components on the target power equipment. Temperature field analysis is performed on the infrared thermal imager data collected in the state of the power equipment to detect local overheated areas on the target power equipment; The spatial location of the morphological defects is correlated and fused with the local overheated area to determine the defect type; The defect types, morphological defects, and localized overheating areas are compiled to generate a simplified defect report.

4. The method as described in claim 1, characterized in that, The step of sending the simplified defect report to the preset control center via the BeiDou short message communication link employs an adaptive scheduling method based on BeiDou signal quality and UAV status, including: Obtain the signal quality assessment parameters and remaining battery power of the current BeiDou short message communication link; Based on preset signal quality weights and power weights, the signal quality evaluation parameters and the remaining power are weighted and calculated to generate the current communication scheduling priority; Based on the current communication scheduling priority, the timing and frequency of sending the simplified defect report are dynamically adjusted, wherein when the scheduling priority indicator is high, the simplified defect report is sent immediately; When the scheduling priority indicator is low, the simplified defect report is temporarily stored and sent when the signal quality improves or a preset window period is reached.

5. The method as described in claim 4, characterized in that, The step of generating the current communication scheduling priority by weighting the signal quality evaluation parameters and the remaining power according to preset signal quality weights and power weights includes: The signal quality assessment parameters are obtained by analyzing the carrier-to-noise ratio and bit error rate of the currently received BeiDou navigation signal; The power weight is dynamically set based on the difference between the remaining power and the power required for a safe return. The smaller the difference, the larger the power weight value. The signal quality evaluation parameters are multiplied by the signal quality weights to obtain a first product, and the remaining power is multiplied by the power weights to obtain a second product; The first product and the second product are summed, and it is determined whether the summation result meets a preset threshold range. Based on the threshold range met, the current communication scheduling priority is determined.

6. The method as described in claim 1, characterized in that, After the step of sending the simplified defect report to the preset control center via the BeiDou short message communication link, the following steps are included: The system receives review instructions issued by the control center based on the simplified defect report via the BeiDou short message communication link. The review instruction is parsed to obtain refined review parameters for the identified defects. These refined review parameters include an updated observation angle, a closer shooting distance, or a higher level of sensor configuration. Supplementary data collection is performed based on the refined review parameters, and the supplementary data or the analysis results generated based on it are fed back to the control center through the Beidou short message communication link to complete the closed-loop management of defect verification.

7. A BeiDou-based unmanned aerial vehicle (UAV) inspection device for power operation and maintenance, characterized in that, The device includes: The acquisition module is used to acquire simplified task instructions received through the BeiDou short message communication link; The data acquisition module is used to perform inspection flights and data acquisition according to the simplified task instructions, and to acquire power equipment status data. The analysis module is used to perform real-time analysis of the status data of the power equipment and generate a simplified defect report; The sending module is used to send the simplified defect report to a preset control center via the Beidou short message communication link.

8. A BeiDou-based unmanned aerial vehicle (UAV) inspection device for power operation and maintenance, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the BeiDou-based power maintenance drone inspection method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the Beidou-based power maintenance drone inspection method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the BeiDou-based power maintenance drone inspection method as described in any one of claims 1 to 6.

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