174 results about "Ground control station" patented technology

The invention discloses an unmanned aerial vehicle automatic test method, which comprises the steps of building a high-fidelity semi-physical simulation platform which comprises an unmanned aerial vehicle motion simulator, a three-dimensional environment simulator, a flight control module and a ground control station, and loading a complete machine fault model and a dynamic environment model; designing an intelligent multi-fault injection scheme, and defining a single fault scene, a combined fault scene and a fault evolution scheme; configuring a dynamic environment simulation scene including static environment parameters, dynamic environment elements and environment, and a fault interaction scene; executing a self-adaptive test process, automatically generating a test case, intelligently scheduling a test sequence and dynamically adjusting test parameters; and performing multi-source data intelligent analysis and evaluation, collecting test data, performing fusion analysis on fault influence, and generating an evaluation report. By constructing a whole machine fault and dynamic environment model, the scene authenticity is improved by 40%, and for example, the motor fault yaw deviation under strong wind is closer to a real machine compared with a traditional method.

The invention discloses a multi-mode water-air-land cross-medium cooperative sensing system and method based on an MEMS (Micro Electro Mechanical System). The system comprises an underwater robot, a buoy station, an unmanned aerial vehicle and a ground control station, each node is provided with an MEMS sensor integrating acoustics, optics, magnetism, inertia and other modes, and data transmission and relay are achieved through acoustics, optical communication and radio links. And the ground control station carries out fusion processing, target identification and decision control on multi-source data through time synchronization and space registration, and issues a cooperative instruction to each node to realize a perception-decision-re-perception closed loop. The method comprises five steps of node deployment and calibration, multi-modal data acquisition, hierarchical transmission and sharing, adaptive weighted fusion and closed-loop cooperative control. According to the invention, global coverage, high-precision and multi-mode environment and target perception can be provided in a complex water-air-land environment, and the detection reliability and the communication efficiency are significantly improved.

The invention provides a quadruped robot cooperative mooring unmanned aerial vehicle photovoltaic inspection method and device, and the method comprises the steps: obtaining a global image through a photovoltaic power station fixed monitoring network, and positioning a space coordinate set of a suspected fault region based on a visual analysis algorithm; decomposing the space coordinate set into an ordered inspection sequence by using a ground control station, and issuing path planning parameters to a quadruped robot; the quadruped robot is controlled to autonomously navigate to target coordinates according to the path planning parameters, and the mooring unmanned aerial vehicle is released after the posture is stabilized; executing three-dimensional scanning and multispectral imaging by using the mooring unmanned aerial vehicle, returning a fused sensing data packet in real time, and marking abnormal confidence; and after the diagnosis is completed, controlling the mooring unmanned aerial vehicle to autonomously land to the back of the quadruped robot, and dynamically updating an inspection sequence based on the abnormal confidence until the inspection is completed. And the tethered unmanned aerial vehicle is transported through the quadruped robot, so that the operation in a no-fly area is effectively solved, and the inspection efficiency of the unmanned aerial vehicle on the photovoltaic power station is improved.

The invention discloses a power grid unmanned aerial vehicle inspection method suitable for a complex terrain area, and the method comprises the steps: S1, obtaining the terrain point cloud data and image data of the complex terrain area, and forming a three-dimensional terrain model; s2, performing overlay analysis on the power grid layout information and the three-dimensional terrain model through a geographic information space analysis technology, and planning a flight route of the unmanned aerial vehicle; s3, performing routing inspection according to the flight route and an unmanned aerial vehicle power grid global coverage routing inspection technology to obtain original power grid image data; s4, transmitting the original power grid image data to a ground control station through a wireless communication link, and processing the original power grid image data through deep learning to obtain defect positions and types; and S5, generating an inspection report according to the position and the type of the defect, and pushing the inspection report to operation and maintenance personnel through network communication for equipment maintenance and fault processing. The problems of low efficiency, high labor cost, incomplete data acquisition and inaccurate defect identification in complex terrains are solved, and the efficiency and accuracy of power grid inspection are improved.

The invention discloses a livestock identity recognition method and system based on an unmanned aerial vehicle, and relates to the technical field of livestock identity recognition, and the method comprises the steps: constructing an identity information database which comprises the electronic ear tag IDs of all target livestock individuals in a pasture, a visible light feature image, an infrared thermal imaging contour template and a historical motion behavior sequence in a cloud server; initialization of an unmanned aerial vehicle system carrying a visible light camera, an infrared thermal imager, an RFID reader and an edge calculation module is completed, and communication connection between the unmanned aerial vehicle system and a ground control station and between the unmanned aerial vehicle system and a cloud server is established; controlling the unmanned aerial vehicle to enter an inspection area, monitoring a ground target through a visible light camera, synchronously acquiring a visible light image, an infrared thermal image and a radio frequency response signal of a target individual when the livestock is detected to enter an effective identification range, and performing timestamp alignment on the three types of data; a first visual feature vector is extracted from the visible light image and a visual confidence score is generated.

The invention discloses an unmanned aerial vehicle real-time data analysis model construction method based on a block chain, and relates to the technical field of unmanned aerial vehicle communication, and the method comprises the steps: an unmanned aerial vehicle builds an ad-hoc mesh network through a 5G NR-U frequency band, a ground control station carries out the validity verification, generates an initial network topological graph, builds a private block chain network based on a Hyperledger Fabric framework, and generates a creation block; collecting video stream data, recording attitude data by an inertial measurement unit, and generating a compressed data packet; the unmanned aerial vehicle scans a fuselage metasurface pattern through a terahertz emitter to obtain a scattering feature matrix, generates a composite hash value and adds the composite hash value to the compressed data packet to form a to-be-transmitted data packet; and measuring the refractive index structure constant of the current area to obtain the turbulence intensity grade. According to the method, physical fingerprint features are obtained through terahertz scanning of a fuselage metasurface, an anti-interference hash value is generated in combination with space-time parameters, hardware-level identity authentication is achieved, and the risk of unmanned aerial vehicle identity cloning is fundamentally eradicated.

The present application relates to the technical field of wind power generation. Disclosed are a wind turbine blade inspection method and apparatus based on collaborative orchestration of unmanned aerial vehicles, and a storage medium. The method comprises: acquiring the length of a wind turbine blade; determining an imaging area on the basis of the length of the wind turbine blade, and dividing the imaging area into a plurality of identical imaging sub-areas; acquiring the central normal of a rotational plane of the wind turbine blade, and providing a first unmanned aerial vehicle at a second target distance in the direction of the central normal; on the basis of the first unmanned aerial vehicle, providing a second unmanned aerial vehicle at the center of each of the plurality of imaging sub-areas; photographing the wind turbine blade on the basis of both the first unmanned aerial vehicle and a plurality of second unmanned aerial vehicles, so as to acquire a plurality of imaging pictures of the wind turbine blade; and transmitting the plurality of imaging pictures to a ground control station, and processing the plurality of imaging pictures, so as to form an inspection report. In the present application, area-based photography is performed by means of a plurality of unmanned aerial vehicles, such that when a wind turbine is not shut down, photographic inspection can be performed on the entire wind turbine, thereby improving the work efficiency, and also reducing economic losses.

A pipeline length and tightness degree self-adaptive control system of a wall-climbing robot comprises a sensor and an automatic adjusting device. The sensors are arranged on a pipeline and a control circuit of the wall-climbing robot, the sensors comprise a tension sensor and a length sensor, and the tension sensor and the length sensor are used for monitoring the tightness degree and the length change of the pipeline and the control circuit in real time and transmitting sensor data to a ground control station or a control system of the robot in real time. The automatic adjusting device is a wire spool, and the wire spool is driven by a motor to rotate, drives the pipeline and controls the line to be wound and unwound.

The invention belongs to the field of flight platform simulation design, and discloses a flight platform simulation integrated device based on man-unmanned interaction. The device comprises a manned aerial vehicle platform basic excitation device, a manned aerial vehicle task system excitation device, an unmanned aerial vehicle platform basic excitation device, an unmanned aerial vehicle ground control station excitation device, a network management simulation device and a data link message access device. According to the method, high requirements are provided for information services according to systematic application requirements, and no excitation environment based on a typical platform exists in systematic integration verification currently. In view of completeness and credibility of system integration verification, an aviation platform digital prototype close to the reality needs to be built urgently, and the product designed by the invention provides interface adaptation of manned aircraft / unmanned aerial vehicle infrastructure, task system equipment, network management and links, guarantees simulation test verification of a universal platform, and has a wide application prospect. A verification environment is provided for platform integration design and verification work in the actual technical state of the platform, the problems of platform integration design and the like in the actual state of the platform are solved, the verification environment is provided for verification work, and a universal simulation test platform is provided for system integration verification.

The invention discloses an eVTOL aircraft ground control device based on a multi-link adaptation and response mechanism, and belongs to the technical field of eVTOL aircraft communication and control. The device comprises an instruction distribution module, a multi-link management module, a frame construction module and an error control module. The instruction distribution module is responsible for cooperating with eVTOL aircraft information to send a corresponding flight control instruction according to an actual condition; the multi-link management module evaluates a plurality of communication links (including a main link, a standby link and an emergency link) in real time and is used for sending different instructions; the frame construction module constructs an extended interactive data frame based on the MAVLink protocol, and the data frame comprises a plurality of control fields for control; the device also has an error control mechanism, and a closed-loop control system is completed through the mechanism. Through the method, the instruction reliability of the ground control station in a complex communication environment and the stability of an eVTOL aircraft system can be effectively improved.

The invention relates to the technical field of unmanned aerial vehicle application, and discloses a multi-degree-of-freedom dynamic light field system based on an unmanned aerial vehicle, a cooperative control method of the multi-degree-of-freedom dynamic light field system and a dynamic light field device. The ground control station is used for editing programs and sending instructions; the unmanned aerial vehicle group is composed of a plurality of unmanned aerial vehicles carrying the dynamic light field devices; the communication unit is used for establishing a data link between the ground control station and the unmanned aerial vehicle group; and the main controller on each unmanned aerial vehicle sends cooperative control signals to the flight control system, the first driving mechanism and the second driving mechanism of the unmanned aerial vehicle. Through the synergistic effect of the first driving mechanism and the second driving mechanism, the rotation of the rotating drum in the vertical direction can be controlled, and meanwhile, the rotation of each ball head assembly in the horizontal direction can also be controlled, so that irradiation of each laser module in different azimuth angles within a certain angle range can be realized, and the display effect of the unmanned aerial vehicle group light curtain is improved.

The invention relates to the technical field of geophysical exploration, in particular to a semi-aviation transient electromagnetic detection system based on cooperation of a robot dog and an unmanned aerial vehicle, and the system consists of a robot dog platform, an unmanned aerial vehicle platform and a ground control station. The robot dog platform comprises a high-power transient electromagnetic transmitter, a line source laying module, a voice warning module and a mobile positioning module, and can automatically lay a line source and inject pulse current to the ground; the unmanned aerial vehicle platform comprises a visual field auxiliary module, a flight driving module and a receiving coil, and the coil can be dragged according to a preset route to collect electromagnetic data; the ground control station is used for job scheduling and data processing. Wiring-transmitting-receiving integrated collaborative operation is realized through the robot dog and the unmanned aerial vehicle, and the robot is suitable for detection of a complex mountain environment.

An aircraft includes a flight plan and contingency data including a plurality of contingency landing sites. An aircraft communication system communicates with a ground control station via a communication link and detects a lost communication scenario in response to degradation in the communication link. An aircraft flight control system controls the aircraft en route according to the flight plan. In response to detecting the lost communication scenario, the flight control system routes the aircraft back to a last known location in which the communication link was not degraded. In response to failure to re-establish the communication link, the flight control system selects a landing site based on a current aircraft location relative to a plurality of potential landing sites including an origin airport, a destination airport, and a first continency landing site. The flight control system controls the aircraft to approach and land at the selected landing site.

The invention discloses an unmanned aerial vehicle GPS autonomous inspection method, system and device and a medium, and the method comprises the following steps: obtaining inspection task data of an inspection area, the inspection task data comprising a historical defect database and a preset route; according to defect position distribution recorded in a historical defect database, dividing the inspection area into a plurality of positioning precision grade areas; the unmanned aerial vehicle collects an inspection image in the flight process and performs defect identification on the inspection image to obtain a defect identification result; when the defect identification result shows that an abnormal state is detected, acquiring a position coordinate corresponding to the abnormal state, and uploading defect positioning data to a ground control station; and updating the historical defect database according to the newly added defect positioning data. According to the method, the limitation of a global unified positioning mode in the traditional technology is broken through, a carrier phase difference positioning mode is automatically started in a defect high-incidence area and the periphery of a high-risk defect, and it is ensured that the defect of a key position can be accurately calibrated and tracked.

The invention relates to the technical field of computer-aided teaching, and particularly discloses a fuel cell unmanned aerial vehicle modular teaching practical training system based on industrial practical training, which comprises a hardware entity, and the hardware entity comprises a hydrogen fuel cell unmanned aerial vehicle module as a core flight platform of the system; the data acquisition and communication relay module is used for acquiring multi-source data and performing wireless communication with the software platform; the hydrogen fuel cell unmanned aerial vehicle module, the ground control station module and the data acquisition and communication relay module are modularly connected through standardized interfaces. According to the invention, the hydrogen fuel cell unmanned aerial vehicle module with a standardized interface is combined with various detachable sub-modules, so that flexible expansion of a hardware level and effective restoration of a real industrial scene are realized. Taskered training and a fault case library are introduced through the industry practical training subsystem, so that trainees can master operation and diagnosis capabilities in an environment close to a real industry.

The invention belongs to the field of unmanned aerial vehicle cluster scheduling and wireless self-organizing networks, and relates to a multi-unmanned aerial vehicle forest fire extinguishing cooperative scheduling system based on a Mesh network, which comprises a ground control station responsible for strategy generation, task distribution coordination and remote scheduling control; a plurality of unmanned aerial vehicles equipped with communication and sensing modules form a honeycomb Mesh network to realize detection, relaying and fire extinguishing; the air Mesh communication network is dynamically constructed, comprises a backbone layer and an access layer, and supports distributed control and collaborative operation; the data sensing and sensing system is used for fusing information such as images, temperature and infrared rays to carry out fire behavior identification; and the task scheduling and energy management module supports task division, path planning and endurance guarantee. According to the system, an integrated closed-loop process of sensing, communication, scheduling and fire extinguishing is realized, and the response speed of forest fire extinguishing, the resource scheduling efficiency and the fire extinguishing accuracy are improved.

The invention belongs to the technical field of underwater measurement systems, and particularly relates to a novel unmanned aerial vehicle mounting type water depth measurement system which comprises an unmanned aerial vehicle platform, a GPS-RTK module, a photographing lens, a detection host, a data transmission line, a depth measurement probe, a data recording trigger device and a ground control station. The GPS-RTK module, the photographing lens and the detection host are all mounted on the unmanned aerial vehicle platform; the detection host is connected with the sounding probe through a data transmission line. Through real-time differential positioning of the GPS-RTK module, centimeter-level positioning precision can be provided, the position accuracy of sounding data is ensured, compared with traditional shipborne GPS positioning, the precision is improved by one order of magnitude, the unmanned aerial vehicle platform is matched to reach water areas where traditional ships cannot reach, such as shoals, narrow riverways and upstream of reservoirs, and the unmanned aerial vehicle platform is matched with the unmanned aerial vehicle platform to reach the water areas where the traditional ships cannot reach. The application range of sounding is greatly expanded, and meanwhile, the hovering capability and the accurate controllability of the unmanned aerial vehicle enable the sounding operation to be more flexible and efficient.

The invention provides an unmanned aerial vehicle field crop growth monitoring and abnormity response system and method based on spatial layering, a low-altitude unmanned aerial vehicle carries a spectrum camera to carry out full-coverage aerial photography on a field, spectrum data is sent to a ground control station, and the ground control station calculates a vegetation index difference value of current patrol data and historical patrol data; according to the method, abnormal areas and grades are determined through a pre-established threshold matrix, then a near-earth unmanned aerial vehicle carries out refined aerial photography on corresponding grade areas through a carried RGB camera according to an abnormal area distribution map, a ground control station processes images to determine disease cause types, and then the ground control station generates an operation prescription map; the actual application amount is calculated through an application amount compensation algorithm, finally, sampling reinspection is conducted on the abnormal area through the near-earth unmanned aerial vehicle, and whether self-adaptive adjustment of the threshold value matrix is triggered or not is judged. According to the invention, monitoring, analysis and execution are completed through low-altitude, near-ground and ground multi-layer cooperation, and rapid and accurate monitoring of field crop growth and efficient response to abnormal regions are realized.

The invention relates to the technical field of unmanned aerial vehicle flight control, and discloses an unmanned aerial vehicle flight control method based on target identification, which comprises the following steps: a ground control station generates and issues a strategy switching instruction containing a strategy identifier, and an unmanned aerial vehicle sends the strategy switching instruction after receiving the instruction; a local flight strategy state machine of the unmanned aerial vehicle autonomously and continuously generates a control signal to execute a corresponding flight strategy, and the unmanned aerial vehicle also calculates an overtime threshold according to the health state of the unmanned aerial vehicle, monitors communication heartbeat by using the threshold, and forcibly switches to a safety strategy when a condition is met. According to the invention, the decision and execution of flight control are separated, so that the task execution continuity of the unmanned aerial vehicle is no longer limited by the real-time integrity of a communication link, and the triggering condition of the security policy can be adaptively adjusted according to the health state of the unmanned aerial vehicle. And the task toughness of the system in a complex environment and the operation reliability in a full life cycle are improved.

The invention belongs to the technical field of X-ray detection, and particularly relates to an unmanned aerial vehicle hoisting X-ray detection robot autonomous online and offline method and system, and online and offline of a robot are realized based on an unmanned aerial vehicle, an observation wing aircraft and a ground control station. Through fusing tower three-dimensional modeling, environment characteristic analysis, heuristic path planning and deviation value closed-loop control, an unmanned aerial vehicle hoisting robot accurate line falling off-line control strategy is designed, and the optimal crimping pipe detection sequence, the robot line falling position and the unmanned aerial vehicle accurate hoisting flight path are autonomously determined. Real-time closed-loop control of three deviation values of the robot and a to-be-detected line is used for carrying out machine body pose adjustment and wire contact state judgment, full-automatic precise hoisting on-line and safe off-line return of the robot are achieved, the automation level of on-line operation of the robot is improved, the diversified requirements of power transmission line detection are effectively met, and the working efficiency is improved. And an efficient and intelligent detection solution is provided for high-altitude power transmission line power inspection.

The application relates to the technical field of air traffic management, in particular to a UAV integrated conflict management method and system applied to low-altitude airspace, which comprises the following steps: a UAV air traffic management service provider receives service request information sent by a ground control station, and sends flight demand information to a public information service provider; the public information service provider processes the flight demand information according to a priority order; the UAV air traffic management service provider carries out non-hotspot and non-conflict path planning according to the use permission, airspace information and service request information sent by the public information service provider, obtains planning path information and sends the planning path information to the ground control station; the ground control station determines task allocation information based on the planning path information, sends the task allocation information to a UAV controlled by the ground control station, and enables the UAV to execute the planned path; and the application can realize non-hotspot and non-conflict path planning simultaneously.

The application provides a data processing method for wireless transmission of an airborne photoelectric system, comprising: a sending end data processing method, which transmits the real-time generated investigation images and information of the airborne photoelectric system to a ground control station by using an investigation image and information packeting method to divide the investigation images and information into small data packets; the investigation image and information packeting method comprises: processing the same frame investigation image of the airborne photoelectric system into identification information, and obtaining the state information of the airborne photoelectric system corresponding to the investigation image; dividing each frame investigation image of the airborne photoelectric system into x small data packets; and a ground control station data processing method, which reorders, packetizes and analyzes the received small data packets; the application transmits the investigation images and information with indefinite length structure into small data packets according to rules in real time, the ground control station receives the wireless transmission small data packets in real time, and dynamically orders the small data packets generated by the same frame image and information to splice and restore into complete investigation images and information.

The invention discloses a time synchronization and distance measurement method for a time packet network unmanned aerial vehicle measurement and control system, and the method comprises the following steps: completing the distance measurement between a ground control station and each unmanned aerial vehicle in a first time frame, and obtaining a distance value D1; step 2, in a second time frame, completing time synchronization between the ground control station and each unmanned aerial vehicle according to the distance value D1; 3, in a third time frame, the airborne equipment of the main unmanned aerial vehicle sends the local sending moment t7 of the synchronized standard moment in a framing manner; and recording an inter-UAV distance measurement frame receiving moment t8 from airborne equipment of the unmanned aerial vehicles, and calculating a transmission delay according to t8 and t7 so as to obtain a distance value between the unmanned aerial vehicles. According to the method, the technical complexity of the ranging function can be greatly reduced, time slot division occupied by the ranging function is reduced compared with a non-coherent ranging method for a time-division networking system, and the networking efficiency of the time-division system is improved.

The invention discloses a glass breaking and fire extinguishing unmanned aerial vehicle system and an operation method, the glass breaking and fire extinguishing unmanned aerial vehicle system comprises a rotor unmanned aerial vehicle and an observing and aiming launching system, and the observing and aiming launching system comprises an automatic holder, a photoelectric pod, a fire control system, a launch canister and a ground control station system. During working, the unmanned aerial vehicle transmits a fire scene image in real time by means of the photoelectric pod, and a target launching position is identified and determined by a ground operator; after the unmanned aerial vehicle arrives at the target area, distance measurement and trajectory calculation are carried out on the target through the photoelectric pod; the automatic holder adjusts the aiming posture according to the resolving result; after the ground control station completes rocket launching time sequence setting, the fire control system controls the launching device to sequentially launch the glass breaking rocket and the fire extinguishing rocket, the glass breaking rocket and the fire extinguishing rocket accurately hit the core area of the fire scene, and fire suppression is achieved. The unmanned rotorcraft is used as a carrying platform, an observing, aiming and launching system is integrated, and the unmanned rotorcraft has multiple functions of target distance measurement, trajectory calculation, impact point superposition and rocket detection and launching and is suitable for complex fire scene environments such as high-rise buildings.

The present invention is a system and method for a UAV flight highway and management thereof, comprising: a ground control station, a server (for example a cloud server), a geographic locator communication device, a communication transmitter, and one or more UAVs. The present invention is operable to identify ground level topography and air space objects (e.g., buildings) within a region, as well as other restrictions to UAV flights (e.g., restricted flight zones), and generates within such region a UAV flight highway, that may be multi-lane and multi-layer, based upon specific latitudinal and longitudinal points. The present invention is operable to control the flight of one or more UAVs along such flight highway, along multiple-lanes thereof, wherein the UAVs may travel at different speeds in different lanes and different layers along the UAV flight highway.

This invention provides a payload software reconfiguration method for LEO satellites, applicable to ground control stations, payload management equipment within LEO satellites, and target payload units. The method divides the payload software reconfiguration of the target payload unit into two stages: In the first stage, within the data transmission arc, the ground control station fully utilizes the uplink bandwidth of the space-to-ground data transmission link to rapidly upload the software reconfiguration file to the payload management equipment for storage. In the second stage, the payload management equipment transmits the software reconfiguration file to the target payload unit via the internal interconnection bus, thus achieving software reconfiguration of the target payload unit. Furthermore, the accuracy of the software reconfiguration file transmission can be quickly determined through the first feedback information sent by the payload management equipment and the second reception feedback information sent by the target payload unit, allowing for timely re-transmission of the software reconfiguration file. Therefore, this method effectively improves the efficiency and accuracy of payload software reconfiguration for LEO satellites.

The invention discloses a rescue system for pre-hospital first aid and a working method.The rescue system comprises a medical robot, the medical robot is provided with a first-aid kit, a camera, a microphone and a loudspeaker, and the medical robot can quickly arrive at a site, provide site information and assist in completing simple first-aid operation; the rescue system comprises a flight control system, an electric control system, an intelligent system and an identification system. The flight control system realizes stable flight and accurate positioning, and the electric control system monitors the state of components and guarantees safety; the intelligent system covers a ground control station, a cloud data storage and autonomous learning module and a difficult case system, and can plan a route, store data, optimize a working mode and provide first-aid reference; the recognition system comprises an information detection and identity recognition module and a sign language interaction system, and can realize precise identity recognition and special crowd interaction; the problems that medical staff cannot accurately grasp patient information, so that accurate rescue is difficult through telephone guidance, and communication with disabled people is difficult are solved.

The utility model relates to the technical field of underwater robot control, in particular to an underwater robot multi-screen ground control station, which comprises a multi-screen control station, the multi-screen control station comprises a protection box, a carbon fiber panel, an air inlet grille, a display panel, a grip, a closed lock catch and a main display screen, the carbon fiber panel is fixedly connected with the protection box, and the air inlet grille is fixedly connected with the main display screen. The air inlet grille is fixedly connected with the carbon fiber panel, the display panel is rotatably connected with the protection box, the grip is detachably connected with the protection box, the closed lock catch is fixedly connected with the protection box, and the main display screen is fixedly connected with the display panel. Therefore, the problem that the working time and the carrying mode of an existing ROV using a battery as a power supply and an ROV control station are limited can be effectively solved.

The invention relates to the technical field of electric power facility detection and nondestructive detection, in particular to a voiceprint feature-based telegraph pole defect detection system and method. The system comprises a sound wave excitation module, a multi-source data acquisition module, a voiceprint feature processing module, a registration fusion module, a positioning output module and an early warning module, and can carry an unmanned aerial vehicle to cooperatively work with a ground control station. The detection method comprises the following steps: exciting a telegraph pole through multi-gear sound waves, synchronously acquiring sound field, distance and live-action image data, extracting voiceprint features, matching the voiceprint features with a dynamic feature library, determining defect positions, sizes and confidence coefficients through beam forming and image registration, and generating early warning signals containing priorities when a safety threshold value is exceeded. According to the system and method, non-contact, high-precision and high-efficiency detection of telegraph pole defects is realized, the operation and maintenance safety risk is reduced, and the stable operation guarantee requirement of a power grid is met.

The invention relates to the technical field of electric power operation and maintenance, in particular to an unmanned aerial vehicle self-positioning bird nest target locking method based on machine vision recognition, and aims to solve the problems of high manual dependence, low recognition precision, inaccurate positioning and high safety risk in traditional bird damage prevention and control. The method comprises the following six steps: S1, planning a route; s2, the unmanned aerial vehicle autonomously flies according to a route and synchronously collects multi-view images; s3, image preprocessing and distortion correction are carried out, a Faster R-CNN model is adopted to identify a suspected nest, and secondary verification is carried out in combination with morphology and thermal imaging features; s4, similar triangles, multi-view geometry and a PnP algorithm are fused to solve three-dimensional coordinates of the bird nest; s5, automatically locking the target, and returning information to the ground control station; and S6, recording data and updating the model, and generating a bird damage risk thermodynamic diagram. The bird nest recognition, positioning and locking full-process automation is realized, the recognition precision and the flight safety are improved, an intelligent operation and maintenance closed loop is constructed, and the method is suitable for bird damage prevention and control of power transmission lines of various voltage grades.