282 results about "Ground control station" patented technology

The invention discloses a power station photovoltaic field area automatic inspection unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle inspection, and the unmanned aerial vehicle comprises the following components: a meteorological self-adaptive intelligent inspection flight system, a power supply module, a rotor wing device and a communication module; the power supply module is used for providing power support for each component of the unmanned aerial vehicle; the communication module is used for realizing data interaction between the unmanned aerial vehicle and the ground control station and between the unmanned aerial vehicle and the photovoltaic field area monitoring equipment; by carrying the meteorological self-adaptive intelligent inspection flight integrated system, meteorological conditions of a photovoltaic field area can be perceived and analyzed in real time, and an inspection path and a flight attitude are dynamically optimized according to the meteorological conditions, so that the unmanned aerial vehicle can preferentially inspect an area where a problem is most likely to occur, and the inspection efficiency is remarkably improved; meanwhile, the unmanned aerial vehicle can keep stable flight under complex meteorological conditions such as strong wind, flight accidents are avoided, and the accuracy of inspection data is ensured.

The invention provides an intelligent autonomous obstacle avoidance and path optimization system for an AI unmanned aerial vehicle, and aims to realize efficient autonomous obstacle avoidance and optimal path planning of the unmanned aerial vehicle in a complex environment by integrating a plurality of sensor data fusion technologies, edge calculation processing and an advanced artificial intelligence algorithm. The system comprises a sensing module, a data processing module, an artificial intelligence decision module, an execution module and a communication module. Wherein the sensing module acquires environmental data in real time through various sensors such as a laser radar, a high-definition camera, an infrared sensor and an ultrasonic sensor; the data processing module performs data preprocessing and fusion by using edge computing equipment to generate a high-precision environment model; the artificial intelligence decision module comprises an obstacle avoidance sub-module and a path optimization sub-module which are respectively based on a deep learning algorithm and a reinforcement learning algorithm to realize identification and avoidance of dynamic and static obstacles and optimal path planning; the execution module controls the flight attitude, speed and course of the unmanned aerial vehicle according to the decision instruction; the communication module realizes real-time data communication between the unmanned aerial vehicle and a ground control station or other unmanned aerial vehicles, and supports cooperative flight and task allocation. According to the system, through combination of multi-sensor fusion and an advanced algorithm, the flight safety of the unmanned aerial vehicle is improved, the task execution efficiency is remarkably improved, and the system has wide application prospects and remarkable technical advantages.

The embodiment of the invention provides a device and method for multiple communication links of an unmanned aerial vehicle and electronic equipment, and relates to the field of unmanned aerial vehicle communication. The device comprises a ground control station and an unmanned aerial vehicle, and the unmanned aerial vehicle is internally provided with a 5G communication module which provides a 5G communication link; the plurality of satellite communication modules provide a plurality of satellite communication links; a 5G communication link is used as a main communication link, and a plurality of satellite communication links are used as a plurality of backup communication links; the link management module is used for determining and switching a target backup communication link based on the priority and the signal strength of the backup communication link when the signal strength of the main communication link is reduced below a preset threshold value; when it is monitored that the signal strength of the main communication link is recovered to be higher than the preset threshold value, switching to the main communication link is carried out, so that the communication real-time performance is improved; and during data transmission between the unmanned aerial vehicle and the ground control station through the main communication link, synchronous information is transmitted through the plurality of backup communication links, so that data synchronization during link switching of the unmanned aerial vehicle is realized.

The invention discloses an unmanned aerial vehicle edge intelligent analysis terminal based on a single Beidou, and relates to the technical field of satellite navigation and unmanned aerial vehicles, and the terminal comprises an edge calculation unit which is in communication connection with a high-definition image collection module, a high-precision positioning module, a Beidou short message communication module and a ground control station; the high-definition image acquisition module is used for acquiring high-definition image data through a CMOS (Complementary Metal Oxide Semiconductor) sensor; the high-precision positioning module is used for acquiring centimeter-level positioning data in the flight process of the unmanned aerial vehicle through an RTK technology and an INS system; the edge calculation unit is used for carrying out target recognition through a lightweight convolutional neural network in combination with a YOLOv5 target detection algorithm; the Beidou short message communication module is used for realizing short message communication between the unmanned aerial vehicle and a ground control station by using RDSS service; and the ground control station is used for creating a user interface by using Qt, carrying out data visualization through Tableau and adopting a security protocol. According to the scheme, remote control, remote information transmission and high-precision positioning functions in a complex environment of the unmanned aerial vehicle are realized.

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 an unmanned aerial vehicle autonomous obstacle avoidance and path planning system, which relates to the technical field of unmanned aerial vehicle systems and covers cooperative work of multiple sensors including environment perception, data fusion processing, path planning, flight control, communication, autonomous decision making, power management, a ground control station, system self-inspection and calibration, a load adaptation and optimization module and an environment perception module. The data fusion processing module is used for precisely fusing data; the path planning module generates an optimized path; the flight control module flies stably; the communication module guarantees communication; the autonomous decision-making module makes a decision intelligently; the power management module optimizes a power supply; the ground control station realizes monitoring and operation; a system self-inspection and calibration module ensures reliability; the load adaptation and optimization module adapts to different loads, and all the modules achieve efficient flight of the unmanned aerial vehicle. The flight safety and operation efficiency of the unmanned aerial vehicle are improved, accurate obstacle avoidance and intelligent path planning are achieved, the stability and reliability of the system are enhanced, and wide application and development of the unmanned aerial vehicle technology in multiple fields are promoted.

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 relates to the technical field of ecological environment monitoring, and discloses intelligent eagle equipment and an ecological environment monitoring method, and the intelligent eagle equipment comprises a data obtaining module which is used for obtaining ecological environment images, temperature data and point cloud data of a target area at different distances through employing a multi-focal-segment fusion algorithm; the data processing module is used for performing parallel processing on the acquired data by adopting a quantum circuit algorithm; the remote transmission module is used for transmitting the collected data and the processed data to a ground control station in real time so as to make decisions and determine monitoring task requirements through the ground control station; the monitoring path planning module is used for receiving monitoring task requirements, selecting a path planning algorithm according to terrain complexity, performing path planning on a target area in combination with the collected data, and converting a path planning result into a control instruction through a ground control station; and the unmanned aerial vehicle platform comprises a composite wing unmanned aerial vehicle and a multi-rotor unmanned aerial vehicle, and is used for carrying other modules and receiving the control instruction of the ground control station to carry out flight monitoring.

The invention discloses a highway bridge plate-type rubber support rapid inspection method and system based on an unmanned aerial vehicle, and the method comprises the steps: shooting a multi-view image of a bridge and ancillary facilities through the unmanned aerial vehicle, building a bridge surface three-dimensional live-action model with position information, determining the specific coordinate position of the support, and carrying out the detection of the position of the support. Planning a multi-point inspection flight route of the unmanned aerial vehicle support; the planned flight route is imported into an unmanned aerial vehicle remote controller, the unmanned aerial vehicle flies to the bridge position according to a preset route, and a high-definition camera device is used for collecting image data of the plate-type rubber support; the unmanned aerial vehicle transmits collected image data back to the ground control station in real time, and the ground control station performs primary processing and storage on the data; image data preliminarily processed by the ground control station is transmitted to a data analysis processing unit, the apparent state of the plate-type rubber support is comprehensively evaluated, and a detailed detection report is generated; according to the method, targeted detection can be carried out on the bridge support, and the disease type and the disease degree of the support can be quickly and accurately identified.

The invention belongs to the technical field of unmanned aerial vehicle inspection, and particularly relates to an unmanned aerial vehicle insulator inspection system and method based on multi-light fusion. Comprising an unmanned aerial vehicle platform and a ground control station. The unmanned aerial vehicle platform is used for carrying inspection equipment and inspecting the insulator according to a preset path; comprising an unmanned aerial vehicle body, a multi-light fusion sensor module, a data processing module, a control module and a communication module, the multi-light fusion sensor module integrates a visible light sensor, an infrared sensor and an ultraviolet sensor and is used for acquiring visible light image information, infrared thermal image information and ultraviolet image information of the insulator, potential faults can be found in the early stage through the three-light fusion technology, and important data support is provided for preventive maintenance; through integration of data of different wavelengths, insulator fault diagnosis under the three-light fusion technology reduces the possibility of misjudgment of insulator faults, and high detection reliability and high efficiency can be maintained under various environmental conditions.

A system for control of a firefighting operation including a ground control center with a command terminal for managing assets that include manned and unmanned aerial vehicles, a communications network, a mission planning software application, and a command-and-control software application. The ground control station may include secondary terminals for managing larger operations. The software applications produce displays that are oriented to a common rasterized map display. A computer-implemented method for planning a firefighting operation comprising determining a mission objective, assessing a mission environment, designing a route to accomplish the objective, deconflicting the new mission from planned missions, and adding the new mission to an operational plan. A computer-implemented method of assessing a mission comprising determining whether a mission was executed according to plan, determining whether an actual retardant drop footprint matches the planned footprint, and determining whether the actual footprint achieved the mission objective.

The invention discloses an unmanned aerial vehicle communication link accurate interference device and method, and the device comprises a ground control station which is used for transmitting a first signal to an unmanned aerial vehicle and receiving a second signal transmitted by the unmanned aerial vehicle; and the unmanned aerial vehicle interference station is used for receiving and processing the first signal sent by the ground control station and the second signal sent by the unmanned aerial vehicle, and sending a third signal to the unmanned aerial vehicle. According to the invention, the characteristics of the flight control command signal emitted by the ground control station are determined by analyzing the downlink communication link, the spatial orientation characteristics of the unmanned aerial vehicle are determined by analyzing the uplink communication link, and finally the third signal, namely the interference signal, which can effectively interfere with the flight control command signal is emitted to the unmanned aerial vehicle. And accurate interference on the communication link of the unmanned aerial vehicle is realized.

The present invention relates to the technical field of intelligent unmanned aerial vehicles, and particularly to a fixed-point delivery device and operation method for an unmanned aerial vehicle; Technical problem: The attitude pre-adjustment of the fixed-point delivery device for an unmanned aerial vehicle in the prior art is insufficient, the delivery control is inaccurate, and the attitude feedback and adjustment mechanism is imperfect; Technical solution: A fixed-point delivery device and operation method for an unmanned aerial vehicle, including an unmanned aerial vehicle frame, an integrated sensor module, a signal transmission module, a bracket, and a delivery component; The present invention precisely pre-adjusts the attitude of the unmanned aerial vehicle through a ground control station to ensure that the unmanned aerial vehicle is in the best stable state before delivery. According to the real-time position and attitude data of the unmanned aerial vehicle, the opening and closing timing and force of the electric telescopic rod and the electromagnetic block are dynamically adjusted to improve the accuracy and reliability of delivery. When the unmanned aerial vehicle has an attitude deviation, the deviation can be corrected through the attitude feedback and adjustment mechanism to ensure that the unmanned aerial vehicle can fly stably and complete the subsequent delivery task.

The invention relates to the technical field of intelligent unmanned aerial vehicles, in particular to an unmanned aerial vehicle fixed-point launching device and an operation method. The technical problems are as follows: the unmanned aerial vehicle fixed-point launching device in the prior art is insufficient in attitude pre-adjustment, inaccurate in launching control and imperfect in attitude feedback and adjustment mechanism; according to the technical scheme, the unmanned aerial vehicle fixed-point launching device comprises an unmanned aerial vehicle rack, an integrated sensor module, a signal transmission module, a support and a launching assembly; the attitude of the unmanned aerial vehicle is accurately pre-adjusted through the ground control station, it is ensured that the unmanned aerial vehicle is in the optimal stable state before being put, the opening and closing time and force of the electric telescopic rod and the electromagnetic block are dynamically adjusted according to the real-time position and attitude data of the unmanned aerial vehicle, the putting accuracy and reliability are improved, and the putting efficiency is improved. When the unmanned aerial vehicle has attitude deviation, the deviation can be corrected through attitude feedback and an adjustment mechanism, and it is ensured that the unmanned aerial vehicle can continuously fly stably and complete subsequent launching tasks.

The invention discloses an airborne camera equipment intelligent control method and system based on edge calculation, and relates to the field of unmanned aerial vehicle intelligent control, and the method comprises the steps: carrying out the self-inspection and initialization of an unmanned aerial vehicle after the unmanned aerial vehicle is started, and planning a flight path and a shooting point according to an inspection task issued by a control station; the unmanned aerial vehicle flies according to a planned path, airborne camera equipment starts to shoot, and an edge calculation unit processes image data in real time and performs fine identification and automatic focusing; a sensor loaded on the unmanned aerial vehicle senses the flight environment in real time, and an edge calculation unit adjusts camera parameters and flight attitudes according to sensed data; and after the inspection task is completed, the unmanned aerial vehicle automatically returns, and the ground control station analyzes and processes the collected data. By automatically planning a flight path and a shooting point, manual intervention is reduced, an edge calculation unit is introduced, automatic focusing and real-time adjustment of camera parameters can be realized according to image data and perception data, high-quality image acquisition is ensured, and secondary re-flight caused by inaccurate focus is avoided.

The invention relates to the technical field of BIM construction, in particular to a monitoring system and method based on BIM construction, and the system comprises a ground control station and unmanned aerial vehicle bodies, the ground control station is provided with one or more unmanned aerial vehicle bodies, and BIM construction monitoring for a building structure group is realized by controlling the flight actions of the unmanned aerial vehicle bodies. The unmanned aerial vehicle body is provided with a monitoring mechanism A used for monitoring the space relation between building structures and a monitoring mechanism B used for monitoring the structural characteristics of the building structures, data information is collected through the monitoring mechanism A and the monitoring mechanism B, the ground control station compares the data information with a BIM building model, and BIM construction quality control is achieved.

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 access authentication method based on LORA communication, relates to the technical field of unmanned aerial vehicles, is applied between a ground control station and an unmanned aerial vehicle terminal, and realizes the functions of meteorological data acquisition, main intention data reporting and the like of an unmanned aerial vehicle under different base station conditions by using LORA as a communication carrier. Wireless transmission is used, so that the system can be quickly deployed to a multi-point position, complicated infrastructure construction is not needed, and the response speed of the communication system is greatly improved; the ground control station nodes can dynamically adjust the access number according to communication requirements and environment changes so as to optimize communication links and improve communication quality; no fixed communication line needs to be laid or facilities such as a base station need to be built, construction and maintenance cost is reduced, and economic benefits of a communication system are improved.

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 invention relates to the technical field of air traffic management, in particular to an unmanned aerial vehicle integrated conflict management method and system applied to a low-altitude airspace, and the method comprises the steps that an unmanned aerial vehicle 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 the priority sequence; the unmanned aerial vehicle air traffic management service provider performs hot-spot-free and conflict-free track planning according to the use permission, the airspace information and the service request information sent by the public information service provider, obtains planned track information and sends the planned track information to the ground control station; the ground control station determines task allocation information based on the planned flight path information, and sends the task allocation information to the unmanned aerial vehicle controlled by the ground control station, so that the unmanned aerial vehicle executes the planned flight path; according to the invention, hot-spot-free and conflict-free route planning can be realized at the same time.

A system and method for detecting unexploded ordnance (UXO) is disclosed. The system combines a customized UAV with a ground control station, and flies terrain with centimeter precision using onboard LIDAR, SONAR, and RADAR sensors at altitudes as low as 20 cm. The system also provides several methods for mission planning including numerous GUIs for tablets and smartphones. The system provides obstacle avoidance and non-geometric area mapping. The data is fully compatible with numerous geophysical software formats and is capable of precisely following real world terrain at distances as close as 20 cm, and is able to avoid obstacles in its flight path.

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.

The invention discloses an optoelectronic positioning system for a tethered unmanned aerial vehicle that does not rely on satellite navigation and ranging equipment. The system comprises: an airborne optical alignment device deployed on the tethered unmanned aerial vehicle, and a ground optical alignment device and a solution positioning module deployed on a ground control station; wherein the airborne optical alignment device comprises an airborne solid-state camera and an airborne laser target, and the ground optical alignment device comprises a ground solid-state camera and a ground laser target; the airborne optical alignment device is used to image the ground laser target through the airborne solid-state camera to obtain the coordinate value of the ground laser target on the target surface of the airborne solid-state camera; the ground optical alignment device is used to image the airborne laser target through the ground solid-state camera to obtain the coordinate value of the airborne laser target on the target surface of the ground solid-state camera; the solution positioning module is used to obtain the position information of the unmanned aerial vehicle by solving the above coordinate values ​​according to the optical geometric relationship, so as to realize positioning.

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 discloses a human interference activity supervision system in an ecological protection red line. The human interference activity supervision system is characterized by comprising a ground management and control station and a plurality of acquisition management and control modules wirelessly connected with the ground management and control station, wherein the acquisition management and control module comprises a management and control module and an image acquisition module; and the ground control station is configured to receive the human activity image data, analyze whether the human activity image data is human interference activity image data, generate an analysis result, and control the control module to work according to the analysis result. Human activity image data are acquired through the image acquisition module, whether the human activity image data are human interference activity image data or not is analyzed through the ground control station, the control module works when the analysis result is the human interference activity image data, and the control module stops the human performing interference activity. And meanwhile, managers are assisted in managing and controlling activity influence areas interfered by human beings, so that further expansion of ecological damage is prevented.