60 results about "Multilateration" patented technology

The embodiment of the invention discloses a self-propelled hyperspectral imaging control method and system. The method comprises the following steps: based on an ultra-wideband wireless multilateral positioning method, acquiring ultra-wideband positioning information corresponding to a self-propelled hyperspectral imaging platform, and acquiring relative positioning information and a platform high-frequency vibration signal; based on a Bayesian fusion method, carrying out weighted fusion processing on the ultra-wideband positioning information and the relative positioning information; obtaining deformation data corresponding to the platform based on strain gauges arranged at a plurality of key positions of the platform; and according to the fused positioning information, the deformation data and the high-frequency vibration signal of the platform, performing adaptive closed-loop control on the platform so as to complete path correction of the platform, structural deformation offset, intelligent damping design between a vibration sensor and a pneumatic tire, and vibration compensation processing on a hyperspectral imaging module of the platform. According to the embodiment of the invention, the imaging precision is improved while the navigation positioning precision is improved.

The invention relates to the technical field of indoor positioning, and provides an indoor positioning method and system based on a beacon network array. The method comprises the following steps: periodically broadcasting a wireless signal containing a unique identifier through a low-power-consumption Bluetooth beacon deployed according to a preset topology rule; the mobile terminal receives and collects the signal intensity and identification information, generates original positioning data and uploads the original positioning data to the remote platform; and the platform inquires the beacon physical coordinates according to the identifier, and calculates the terminal position through a path loss model and a multi-point positioning algorithm in combination with the signal intensity value. The system comprises a beacon broadcasting module, a signal receiving module, a data uploading module, a coordinate query module and a positioning calculation module. According to the invention, high-precision indoor positioning in a GPS-free environment is realized, and the positioning reliability and applicability are improved.

Techniques are described herein for multi-device arbitration using pairwise range multilateration between earbuds and a target device. A method includes: transmitting, by a first user-worn device, to a candidate device, a first impulse signal; receiving, by the first user-worn device, from the candidate device, a second impulse signal; determining a physical distance based on an elapsed time between transmitting the first impulse signal and receiving the second impulse signal; transmitting, by a second user-worn device, to the candidate device, a third impulse signal; receiving, by the second user-worn device, from the candidate device, a fourth impulse signal; determining a physical distance based on an elapsed time between transmitting the third impulse signal and receiving the fourth impulse signal; and determining, based on the physical distances, that the candidate device is a query target.

Systems, methods, devices, and means for multipath mitigation, interference cancellation and multilateration in a cellular network supporting accurate and resilient position, navigation, and timing (PNT) services are described. The techniques described herein include operations directed to processing positioning reference signals (PRSs) to determine time of arrival (TOA) measurements for determining user equipment (UE) position in the presence of multipath noise and interferences. Example operations associated with processing PRSs includes receiving one or more PRSs in accordance with a comb pattern via resources defined by a set of orthogonal frequency division multiplexing (OFDM) symbols and a set of subcarriers. The example operations include generating a single OFDM symbol comprising the set of subcarriers based on combining the set of OFDM symbols into the single OFDM symbol. The example operations further include performing a multipath mitigation operation using the single OFDM symbol.

The invention discloses a dynamic combination site optimization method and device for an air traffic control multi-point positioning system, and the method comprises the steps: building a site dynamic weight evaluation model, so as to determine a site weight; establishing a geometric accuracy factor lookup table for dynamically extracting geometric accuracy factors of the site combination; and determining an optimal site combination by adopting a self-adaptive combination optimization algorithm. According to the method, through a dynamic site optimization mechanism, site signal quality, geometric distribution and redundancy are evaluated in real time, site combinations participating in positioning are adjusted in a self-adaptive mode, and robustness in a complex scene is improved; according to the method, a multi-objective optimization model based on dynamic weight is adopted, and parameters such as a signal time difference of arrival error, a geometric accuracy factor and computing resource consumption are combined, so that rapid screening of an optimal site combination is realized, the computing load is effectively reduced, and the positioning reliability is guaranteed.

The utility model discloses a crawling ladder type low-altitude unmanned control tower integrally designed with a lifting type lamp panel system, the control tower comprises a tower column, the lifting type lamp panel system, lifting type maintenance platforms and a multi-section vertical crawling ladder matched with a lifting device are arranged on the tower column, so that maintenance personnel can conveniently reach each maintenance platform to maintain the control tower; two equipment mounting platforms are arranged below the maintenance platform at the top of the tower column, and an unmanned aerial vehicle detection radar, an adversarial radar, a high-power bird repelling system, a detection monitoring radar, an unmanned aerial vehicle positioning system, an aviation obstruction light, a 360-degree high-definition monitoring system and the like can be loaded on the equipment mounting platforms so as to realize the functions of air traffic control positioning, communication command and the like; a communication base station antenna, an ADS-B (Automatic Dependent Surveillance-Broadcast) antenna, an air traffic control multipoint positioning antenna, a phased array monitoring radar, a lightning rod and the like can be arranged on the equipment mounting rack on the extension rod at the top of the tower column; therefore, the unmanned control tower is reasonable in structure, rich in equipment, capable of effectively meeting the monitoring, communication and illumination requirements and convenient to maintain.

A computer-implemented method for establishing and controlling a mobile perimeter and for determining a geographic location of an RF emitting source at or within the mobile perimeter includes receiving from RF sensors in a network, processed RF emissions from the source collected at RF sensors. The RF emissions follow a wireless protocol and include frames encoding RF emitting source identification information. The method further includes extracting RF emitting source identification information from the frames, processing the source identification information to identify the RF emitting source, and classifying the RF emitting source by one or more of UAS type, UAS capabilities, and UAS model. The method also includes receiving from the RF sensors, a geographic location of each RF sensor and a time of arrival (TOA) of the RF emissions at the RF sensor; and executing a multilateration process to estimate a geographic location of the RF emitting source.

The invention relates to an ultrasonic measuring unit (1), in particular for use in a vehicle (2), comprising a control unit (3) and an evaluation unit (4), wherein the control unit (3) is designed to control first ultrasonic transducers (11) for transmitting ultrasonic signals and, on the basis of reception signals generated with the aid of second ultrasonic transducers (12), to detect echoes produced owing to signal paths of the ultrasonic signals, and the evaluation unit (4) has a trained AI module (5) and is designed to process the reception signals in order to detect an object (6; 60) causing the echoes, wherein the processing involves at least generating feature vectors (111, 112, 113) on the basis of the reception signals with the aid of the AI module (5), and the control unit (3) or the evaluation unit (4) is configured to determine, on the basis of the reception signals, a signal propagation time or signal propagation distance corresponding to the signal path for the associated echo, and the AI module (5) is designed to determine the feature vectors (111, 112, 113) on the basis of the signal propagation times or the signal propagation distances.

The application discloses a dynamic combination station site optimization method and device of an air traffic control multilateration system, and the method comprises the following steps: a station dynamic weight evaluation model is established to determine station weights; a geometric precision factor lookup table is established to be used for dynamically extracting a station combination geometric precision factor; and an adaptive combination optimization algorithm is used to determine an optimal station combination. Through a dynamic station optimization mechanism, the method can real-timely evaluate station signal quality, geometric distribution and redundancy, adaptively adjust a station combination participating in positioning, and improve robustness in a complex scene. In addition, the method also adopts a multi-target optimization model based on dynamic weights, combines parameters such as signal arrival time difference error, geometric precision factor and calculation resource consumption, realizes rapid screening of an optimal station combination, effectively reduces calculation load, and guarantees positioning reliability.

The invention discloses a device and method for transmitting multi-point GNSS positioning signals in an indoor distribution system, and relates to the technical field of indoor distribution systems and satellite positioning, the device is adaptive to the tree topology indoor distribution system, and comprises a GNSS signal simulation unit, a frequency generation unit, a combination transmission unit, a terminal processing unit and a positioning broadcast unit; the simulation unit generates GNSS positioning signals GPn of different virtual positioning points through at least two simulators, the frequency generation unit generates local oscillation signals LIN through frequency generators in one-to-one correspondence and performs frequency conversion with the GPn, and the combination transmission unit combines the frequency conversion GNSS signals and the LIN and then broadcasts the frequency conversion GNSS signals and the LIN in a unified manner through POI and indoor distribution feeder lines. The tail end processing unit screens matched signals through a conditioning circuit and recovers GNSS navigation signals of correct frequency points, and the positioning broadcasting unit broadcasts the navigation signals through a newly-added antenna. On the basis of the device, multi-point GNSS positioning signal transmission and broadcasting under the feeder non-power-supply condition are achieved, the problem that a traditional indoor distribution system is difficult to integrate the positioning function is solved, and indoor precise positioning is achieved.

The invention discloses an upper and sole alignment deviation alarm system, which comprises an image acquisition module, an image processing module, a comparison alarm module and a unit control module, and relates to the technical field of deviation alarm. According to the upper and sole alignment deviation alarm system, the deviation condition between an upper and a sole is analyzed by means of a multi-point positioning algorithm on the basis of key edge features, the deviation value of contour features of the upper and the sole in a three-dimensional space is calculated, a deviation value result is transmitted, the alignment deviation of the upper and the sole is detected in real time, and an alarm is given in time, so that the safety of the upper and the sole is improved. The shoe quality problem caused by alignment deviation can be effectively avoided, the qualified rate of products is improved, the workload and errors of manual detection are reduced, the problem can be quickly found and processed in time, production delay caused by deviation accumulation is avoided, and the production efficiency is improved.

The application discloses a multi-point positioning system station arrangement optimization method based on airspace traffic flow characteristics. The method comprises the following steps: obtaining a visible area corresponding to each positioning point in the airspace; determining a preliminary site selection area of a ground base station; screening out a ground base station meeting a condition; calculating a flow density and obtaining a weighting coefficient; obtaining a global CRLB value of the airspace and taking the global CRLB value as a target function of an optimal station arrangement scheme; solving the target function by using a genetic algorithm, and finally obtaining the optimal station arrangement scheme of the multi-point positioning system; and calculating a coverage range of different height layers in the airspace for the optimal station arrangement scheme, and obtaining a final coverage range. By combining the airspace flow density characteristics and the actual terrain conditions, the application effectively reduces the site selection area range. The application can dynamically adapt to airspace flow changes, ensures efficient configuration of system resources and stability of airspace coverage, and effectively improves the overall positioning precision and coverage effectiveness of the system.

The invention relates to an ultrasonic measuring unit (1), in particular for use in a vehicle (2), comprising a control unit (3) and an evaluation unit (4). The control unit (3) is designed to control first ultrasonic transducers for transmitting ultrasonic signals (10.1) and to receive echoes, resulting from the ultrasonic signals (10.1) on the basis of the signal paths of the ultrasonic signals (10.1), from second ultrasonic transducers, and the evaluation unit (4) is designed to evaluate the echoes in order to detect the position of an object (6) causing the echoes. The evaluation is carried out on the basis of the positions of the first and second ultrasonic transducers and the signal paths using a multilateration in the form of values of multilateration parameters, said multilateration parameters characterizing hyperbolas or ellipses (31, 32, 33), the evaluation unit (4) has a trained artificial intelligence module (AI module) (4) which is designed to evaluate the relevance of the hyperbolas or of the ellipses (31, 32, 33) on the basis of the receipt of the values, and the evaluation unit (4) is configured to detect the position on the basis of the evaluation.

A method and system for enabling the determination of a position of a receiver within a space includes transmitting a beacon signal from each of a plurality of beacon devices located at different locations within the space. The beacon signal transmitted from each beacon device has a unique information component and may have a unique frequency pattern of multiple frequencies. Each beacon signal can be distinguishable from the beacon signals transmitted from any other of the beacon devices based on the combination of its unique information component and its unique frequency pattern. The beacon signals are received at a receiver. At the receiver, for each beacon signal of a working subset, time-delay information of the received beacon signal is determined and multilateration is applied to determine the position of the receiver based on the location of each beacon device of the working subset.

The invention discloses an airport path planning method based on a dynamic directed graph and a DQN algorithm, and the method comprises the steps: S1, building a scene directed graph model based on actual airport data, collecting the latitude and longitude coordinates of an aircraft in real time through a multi-point positioning system, and dynamically updating the occupation state of node dimensions; s2, based on the real-time node data, planning an optimal path of the aircraft from a current node to a target node by adopting a DQN algorithm; s3, updating the planned path to the directed graph model, locking an occupied node state, and dynamically releasing node resources through data updated in real time; and S4, generating a sliding path according to the node state which changes in real time. A dynamic directed graph model is achieved by updating data in the directed graph in real time, the whole sliding path is divided into the shortest sliding time range of single intermediate nodes through the DQN algorithm, so that the intermediate nodes have the condition that the intermediate nodes can be repeatedly used, and the total sliding time of multiple aircrafts sliding on the scene is greatly saved.

Airfield surveillance unit (11) for detecting airfield traffic and airfield multilateration system comprising such airfield surveillance unit. The airfield surveillance unit comprises a power supply module (113), a first radio antenna (111) configured to receive an aircraft transponder signal, a receiver module (112) coupled to the power supply module (113) and to the first radio antenna (111) and comprising a first data communication port (1122, 1123). The receiver module (112) is operable to convert the aircraft transponder signal received by the first radio antenna (111) to a multilateration-purpose signal for transmission via the first data communication port. The airfield surveillance unit further comprises a second radio antenna (118) and a 5G communication module (117) coupled to the power supply module (113) and configured to be coupled to the second radio antenna for operating as a transceiver for a mission critical private 5G cellular network.

The utility model provides an indoor positioning device based on UWB technology, comprising at least four UWB positioning base stations used for transmitting and receiving UWB signals; the four UWB positioning base stations are arranged to be not in the same straight line and not in the same horizontal plane and are used for cross positioning; and the positioning label and the UWB positioning base station are arranged in the same indoor space in a communication manner. According to the multi-base-station positioning system, at least four UWB positioning base stations are adopted for cross positioning, and the base stations are arranged to be not on the same straight line and not on the same horizontal plane, so that accurate positioning of a three-dimensional space can be realized through multi-point positioning, accurate positioning can be realized in a larger indoor space, and the multi-base-station positioning system has higher robustness; even if a certain base station breaks down or is interfered, other base stations can still work normally, and the stability and reliability of the positioning system are guaranteed.

The invention discloses a wireless positioning method and system, a chip, a storage medium and an electronic device, and relates to the technical field of Internet of Things and artificial intelligence, and the method comprises the steps: receiving positioning reference data sent by a plurality of base stations, inputting the positioning reference data into a parameter estimation model, estimating the distance and confidence between each base station and a terminal device, and determining the distance and confidence between each base station and the terminal device; the confidence coefficient is used for representing the interference degree of a transmission path between the base station and the terminal equipment, the parameter estimation model is a pre-trained neural network model, a weight is distributed for the distance according to the confidence coefficient, and the current position of the terminal equipment is calculated according to the weight and the distance. The distance between each base station and the terminal equipment and the confidence coefficient are estimated through a deep learning model, and high-precision and low-delay positioning is realized based on the estimated distance and confidence coefficient in cooperation with weighted multilateral positioning.

Disclosed is an ultrasonic measuring unit (1), in particular for use in a vehicle (2), comprising a control unit (3) and an evaluation unit (4), wherein the control unit (3) is configured to control first ultrasonic transducers for sending ultrasonic signals (10.1) and to allow second ultrasonic transducers to determine the ultrasonic signals (10.1) based on signal paths of the ultrasonic signals (10.1) to receive resulting echoes, and the evaluation unit (4) is configured to evaluate the echoes to detect a position of an object (6) causing the echoes, wherein the evaluation is carried out depending on the positions of the first and second ultrasound transducers and the signal paths by means of multilateration in the form of values ​​of multilateration parameters, wherein the multilateration parameters characterize hyperbolas or ellipses (31, 32, 33), wherein the evaluation unit (4) has a trained artificial intelligence module (AI module) (4) which is configured to assess the relevance of the hyperbolas or ellipses (31, 32, 33) based on the reception of the values, and the evaluation unit (4) is configured to perform the detection of the position based on the assessment.

In various embodiments, crowd-sourcing techniques are provided to enable RTT-based positioning of UEs. To address the problem of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support RTT-based measurements (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capability can be crowd-sourced from UEs and maintained by a cloud-based location platform in a beacon database (or more specifically, its RTT database portion). To address the problem of determining physical antenna locations, RTT measurements can be crowd-sourced from UEs for those beacons that are RTT-capable and used by trilateration algorithms (e.g., WLS multilateration algorithms) to determine physical antenna locations, which can also be maintained in the beacon database. The accuracy of the trilateration can be enhanced by obtaining raw GNSS measurements (e.g., pseudoranges) from UEs and performing cloud-based RTK GNSS position fixes for the UEs.

A communication system may include a transmitting (TX) device, a receiving (RX) device, and a one or more reconfigurable intelligent surfaces (RIS's). The TX device may transmit a wireless signal received by the RX device over multiple propagation paths including paths that reflect off the RIS(s) and paths that include other reflections. The RX device may receive location information from each RIS. The RX device or a control device may control each RIS to modulate the wireless signal with a different respective identifier upon reflection of the wireless signal by the RIS. The RX device may distinguish the wireless signal as reflected off the RIS(s) from reflections off other objects based on the RIS identifiers modulated onto the wireless signals by the RIS(s). The RX device may use a multilateration technique to detect its position based on the received location information and the wireless signals as reflected off the RIS(s).

Techniques are described herein for multi-device arbitration using pairwise range multilateration between earbuds and a target device. A method (500) includes: transmitting, by a first user-worn device, to a candidate device, a first impulse signal (510); receiving, by the first user-worn device, from the candidate device, a second impulse signal (520); determining a physical distance based on an elapsed time between transmitting the first impulse signal and receiving the second impulse signal (530); transmitting, by a second user-worn device, to the candidate device, a third impulse signal (540); receiving, by the second user-worn device, from the candidate device, a fourth impulse signal (550); determining a physical distance based on an elapsed time between transmitting the third impulse signal and receiving the fourth impulse signal (560); and determining, based on the physical distances, that the candidate device is a query target (570).

The application discloses a kind of low-altitude unmanned aerial vehicle autonomous flight path control method in transformer substation, it is related to the technical field of power system automation inspection, comprising: obtaining the real-time spatial coordinate system constructed by at least three transformer substation positioning devices, carry out fusion operation with the three-dimensional coordinate system of transformer substation established in advance, obtain the flight coordinate data of unmanned aerial vehicle;Unmanned aerial vehicle flight node is generated based on flight coordinate data, and the connection between flight nodes is determined according to preset path planning rules;In the process that unmanned aerial vehicle flies according to flight node, unmanned aerial vehicle position data is collected according to preset frequency, when unmanned aerial vehicle reaches preset flight node, spatial position measurement and correction are carried out, and abnormal data is filtered according to preset rules.The application improves the inspection efficiency and safety of unmanned aerial vehicle in transformer substation by multi-point positioning, real-time data updating, position correction, optimized path planning and multi-level data filtering mechanism.

The application discloses a kind of Bluetooth and sound signal fusion positioning methods for substation indoor unmanned aerial vehicle inspection, belong to indoor positioning technical field;Including for: deployment based on sound signal and unmanned aerial vehicle positioning system of Bluetooth;Received sound signal is carried out sound signal quality evaluation with reference signal;Full set of sound signal time difference of arrival is calculated and estimates position;Sound signal positioning quality evaluation;Bluetooth signal reception and multilateration positioning;Apply linear positioning constraint of Bluetooth;Multi-source data fusion positioning;Construction and update Bluetooth fingerprint database.The application utilizes sound signal positioning real-time update Bluetooth fingerprint library, optimizes Bluetooth positioning, carries out fusion with sound signal positioning data and Bluetooth, realizes unmanned aerial vehicle indoor high-precision real-time positioning, effectively solves the problem of satellite positioning failure under the complex environment of substation indoor;At the same time, realize the high-precision indoor positioning of unmanned aerial vehicle, expand the coverage range in the complex scene of substation indoor, improve the robustness and reliability of unmanned aerial vehicle inspection positioning.

An apparatus includes means for receiving, from a device, information comprising at least one of: an identifier of the device, or a type of the device 1310; means for determining the type of the device 1320; wherein the type of the device is determined from the identifier of the device, or the type of the device is determined from the information comprising the type of the device 1330; and means for determining, based on the type of the device, a reception transmission time difference associated with the device 1340. The means for receiving the information may comprise means for receiving a reply to an activation signal. The reply to the activation signal may be received in a known pattern and the identifier or type of the device may be inferred from the known pattern. Other plural embodiments are defined wherein the type of the apparatus comprises the apparatus being a passive device with or without energy storage.

Methods and apparatus for determining a position of a stationary network device using a non-stationary device are described. One method includes determining, by the network control node, at least one non-stationary device position within a target location by trilateration or multilateration from distance measurements between the non-stationary device and a first set of stationary devices having known positions. The method further includes determining by the network control node, a stationary network device position of a further stationary network device by trilateration or multilateration between the non-stationary device and a second set of stationary devices, the second set of stationary devices comprising a plurality of stationary devices having known positions and the further stationary network device. The first and second sets of devices may be overlapping, identical, or non-overlapping.

The invention discloses an anti-interference method and device based on a multi-point positioning system, and the method comprises the steps: receiving the pixel data of a frame image, comparing the pixel data of a current frame image with the cached pixel data of a previous frame image, judging whether the pixel of the current frame image is brightened or not, and if the pixel of the current frame image is brightened, judging whether the pixel of the current frame image is brightened; marking that the pixels of the current frame image are brightened and storing the pixels of the current frame image into a cache; comparing the pixel data of the frame image after the current light-emitting device is turned off with the pixel of the previous frame image in the current cache; if the pixels of the frame image after the current light-emitting device is turned off are darkened, continuing to judge whether the pixels of the darkened frame image after the current light-emitting device is turned off mark to be brightened or not; and determining the pixels of the frame image marked to be brightened and darkened after the current light-emitting device is turned off as bright spot pixels, storing the current bright spot pixels in a cache, and counting and outputting bright spot coordinates of the bright spot pixels. According to the invention, the interference of ambient light can be effectively eliminated; the light spot positioning precision is improved, and positioning failure is effectively avoided.

A method and system for enabling the determination of a position of a receiver within a space includes transmitting a beacon signal from each of a plurality of beacon devices located at different locations within the space. The beacon signal transmitted from each beacon device has a unique information component and may have a unique frequency pattern of multiple frequencies. Each beacon signal can be distinguishable from the beacon signals transmitted from any other of the beacon devices based on the combination of its unique information component and its unique frequency pattern. The beacon signals are received at a receiver. At the receiver, for each beacon signal of a working subset, time-delay information of the received beacon signal is determined and multilateration is applied to determine the position of the receiver based on the location of each beacon device of the working subset.

The invention relates to a method (100) for determining an uncertainty of the position of a target object (20), comprising the following steps, which are carried out by an entity (10): - Receive (101) one or more arrival time measurements carried out by at least one anchor device (30, 31, 32) to a target object (20), - Requesting (102) an absolute position from each of the at least one anchor device (30, 31, 32), - Performing (103) a multilateration based on the one or more arrival time measurements and based on a closed-form procedure to obtain an absolute position of the target object (20), - Calculating (104) a Jacobian matrix J based on a multilateration model with respect to the absolute position of the at least one anchor device (30, 31, 32) and with respect to the one or more arrival time measurements, - Compiling (105) a variance and / or covariance matrix of the respective absolute positions and the one or more arrival time measurements based on the Jacobi matrix J to calculate the absolute position of the target object (20), - Calculating (106) a variance and / or covariance matrix of the absolute position of the target object (20), - Determining (107) the uncertainty of the absolute position of the target object (20) based on the calculation (106). Furthermore, the invention relates to a computer program and a data processing device for this purpose.

The utility model discloses a spiral ladder type low-altitude unmanned control tower convenient to maintain, the control tower comprises a vertical tower column, a lifting type lamp panel system and a plurality of maintenance platforms, a spiral ladder and a vertical ladder are arranged on the tower column, maintenance personnel can conveniently reach the maintenance platforms, an equipment mounting frame is arranged below the top maintenance platform, and the equipment mounting frame is connected with the lifting type lamp panel system. An unmanned aerial vehicle detection radar, an adversarial radar, a high-power bird repelling system, a detection monitoring radar, an unmanned aerial vehicle positioning system, an aviation obstruction light, a 360-degree high-definition monitoring system and the like are loaded, the functions of air traffic control positioning, communication command and the like are achieved, and a communication base station antenna, an ADS-B antenna, an air traffic control multi-point positioning antenna, a phased array monitoring radar and a lightning rod are arranged on an extension rod on the top of a tower column. The communication monitoring capability is enhanced; therefore, the unmanned control tower provided by the utility model is reasonable in structure and rich in equipment, can effectively meet the monitoring, communication and illumination requirements, improves the operation efficiency and bird repelling capability, ensures the monitoring and coping capability of the unmanned aerial vehicle, and is convenient to maintain.