4094 results about "Gate control" patented technology

The invention discloses a flood discharge gate opening degree real-time automatic distribution method for a centralized control center, and relates to the technical field of water conservancy gate control, and the method comprises the steps: setting a monitoring point in each sub-region, and collecting the mechanical state, the vibration stress parameter and the surrounding geological parameter of a flood discharge gate, so as to construct a gate wear index Msz; therefore, the state of the gate can be monitored in real time, and abrasion and fault problems can be found and early warned in time. And establishing a sub-region prediction model, extracting water flow characteristics and river volume characteristics, calculating an average water flow index Slzs and a regional river clogging index Ydzs of each sub-region, correlating the obtained predicted river load index Fzz, and performing evaluation. And setting a first difference threshold value C1 and a second difference threshold value C2, calculating and obtaining a load difference value FCz according to the predicted river load index Fzz and the load threshold value R, generating an opening instruction, and setting a priority distribution mechanism. The opening degree of the gate is optimized, and the accuracy and response speed of flood discharge control are ensured.

The invention relates to the technical field of gate control, and discloses a gate control method and system based on dynamic cooperative scheduling and a storage medium. The method comprises the following steps: carrying out fatigue quantification on gate torque change and adjustment times through a strain sensor to obtain a comprehensive health index; establishing an adjustment frequency and equipment degradation correlation model according to the health index to obtain degradation prediction data; coupling and fusing the water level flow data and the degradation prediction data to obtain a water regimen-equipment coupling prediction result; a coupling prediction result is optimized through an adaptive weight algorithm, and a differentiated scheduling strategy of the healthy gate and the aged gate is obtained; and performing corresponding control processing on the healthy gate and the aging gate to generate a cooperative control instruction sequence. The technical problem that in an existing gate control technology, water regimen changes and equipment state evolution are independently processed, and differentiated collaborative scheduling based on equipment health constraints cannot be achieved is solved.

The invention provides a multi-modal data urban land utilization scene classification method based on street scene image matching remote sensing image, designs a cross-view image matching method based on geometric transformation, and realizes spatial position matching of a multi-view street scene image and a remote sensing image; the method comprises the following steps: constructing an urban land utilization scene classification model based on a high-resolution remote sensing image and a streetscape image by utilizing a pre-trained large model with relatively strong generalization ability, and extracting depth features of different scales and different visual angles; designing a global-local feature fusion module, and aggregating features of different levels through self-attention; a gate control cycle fusion module is designed to realize interaction of streetscape images at different shooting time and shooting view angles; through a channel attention mechanism, remote sensing image features and streetscape image features are distributed according to different weights, contribution proportions of the features in different classification tasks are optimized, a dynamic gradient modulation strategy is designed, and different modal information is adaptively fused, so that accurate classification of urban land utilization remote sensing images is realized.

The invention belongs to the technical field of lithium battery health state evaluation, and discloses a multi-task learning lithium battery state combined prediction system and method, and the system comprises a sharing layer which is used for extracting battery features from lithium battery operation monitoring data; the sharing layer comprises a plurality of feature extraction modules; the multi-task layer is used for predicting the state of the lithium battery by taking the battery characteristics extracted by the sharing layer as input data after corresponding weights of the battery characteristics obtained by the gating layer are weighted; the multi-task layer comprises more than two task prediction modules and is used for predicting more than two battery state parameters; the gating layer comprises gating units with the same number as the task prediction modules, each gating unit takes lithium battery operation monitoring data as input, and the corresponding weight of each battery feature is obtained through a Softmax function. According to the invention, combined prediction of multiple battery states can be realized, and the accuracy is high.

The invention relates to the technical field of cold storage door control, and discloses a cold storage door opening and closing control method which comprises the following steps: acquiring multi-mode sensing information related to operation of a cold storage door system; driving a digital twinborn model based on the multi-mode sensing information, and analyzing the current state and predicting the future state of the cold storage door system by using the digital twinborn model; based on the multi-mode sensing information and the analysis and prediction result of the digital twinborn model, a deep reinforcement learning algorithm is adopted to generate a cooperative control instruction for the cold storage door opening and closing motion and the operation of at least one energy-saving device; and executing the cooperative control instruction. Energy flow is accurately simulated and predicted by using a high-fidelity digital twinborn model, and the actual traffic demand is accurately judged in combination with multi-modal perception, so that a deep reinforcement learning agent can generate a cooperative control instruction with the lowest comprehensive energy consumption as a target, and active intelligent energy saving is realized.

The present application discloses a gate drive circuit and a display panel. The gate drive circuit includes a plurality of cascaded gate drive units. Each of the gate drive units includes a stage transmission signal selection circuit, a pull-up control circuit, a pulse number reduction circuit, a first inversion circuit, a first output stage and a second output stage, and can output a second gate control signal with a greater number of pulses and a first gate control signal with a less number of pulses.

The invention discloses a multi-gate cooperative control system and a control method thereof, and relates to the field of water conservancy information automation and intelligent control. Comprising the following steps: collecting multi-gate hydrological state data in real time, and carrying out numerical value validity detection and logic judgment; preprocessing the multi-gate hydrological state data after logical judgment to obtain structured multi-gate hydrological state data; based on the structured multi-gate hydrological state data, predicting the future hydrological state of each gate node to obtain a structured hydrological state prediction result; generating three scoring indexes based on the structured hydrological state prediction result; weighting the three scoring indexes to obtain a comprehensive score; and based on the comprehensive score, a multi-gate collaborative optimal opening strategy is generated, gate actions are controlled, multi-gate hydrological state data are collected in real time, and a closed loop is achieved. The problems that a traditional gate control system lacks a cooperative scheduling mechanism, is insufficient in predictive capacity, lags in control response and is rigid in regulation and control strategy are solved.

The invention relates to the technical field of valve production, in particular to a valve control structure volute spring assembling machine which comprises a base table, an operation board is arranged on the base table, a plurality of sliding grooves facing the center of the operation board are formed in the operation board, sliding blocks are slidably connected into the sliding grooves, and fan-shaped clamping blocks are fixedly connected to the upper portions of the sliding blocks. The upper surfaces of the fan-shaped clamping blocks are provided with fan-shaped grooves, the multiple fan-shaped clamping blocks can be combined to form a complete circle, the volute springs are arranged in the fan-shaped grooves, a center groove is formed in the center of the base table, a center shaft is arranged in the center groove and can rotate in the center groove, and a clamping groove is formed in the upper end of the center shaft. The center position of the volute spring is clamped in the clamping groove, and the effect that the volute spring can be smoothly installed in the lower spring cylinder body is achieved.

The invention relates to the technical field of digital information transmission, in particular to an information security transmission method of a stadium security platform based on the Internet of Things. The method comprises the following steps: integrating a TPM 2.0 security chip to an Internet of Things sensing layer, and applying the TPM 2.0 security chip to gate equipment of a stadium; an electromagnetic locking / control device and a forced synchronization mechanism are arranged on the gate equipment, and physical locking control is carried out on the gate equipment; standardized identity information data are collected through an RFID identity verifier in the gate device; and controlling an electromagnetic locking / control device and a forced synchronization mechanism based on the standardized identity information data to generate a gate control instruction. According to the stadium security and protection platform, an efficient, safe and reliable stadium security and protection platform is constructed by integrating a TPM 2.0 chip, electromagnetic locking control, RFID identity verification, dynamic micro-isolation and a block chain technology.

According to the SiC MOSFET global short circuit and overcurrent protection circuit and the control method thereof provided by the invention, when a short circuit fault occurs in the SiC MOSFET, the drain current ID is more than several times of the rated current of the SiC MOSFET. When a short circuit occurs, a transistor QDZ of the short circuit detection circuit is switched on by node voltage Vr of the resistance-capacitance filter circuit, a fault signal VFAULT is converted into a low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET; when an over-current fault occurs in the SiC MOSFET, drain current ID is higher than rated current, node voltage Vo of the resistance-capacitance filter circuit lasts for a long time, the maximum value of capacitor voltage Vch of the over-current detection circuit is higher than reference voltage Vref2, a fault signal VFAULT is converted into low level, grid voltage VGS output by the grid control unit is gradually converted into zero voltage from negative driving voltage VEE, and soft turn-off is performed on the SiC MOSFET. According to the invention, high-speed short circuit and over-current fault protection of the SiC MOSFET in all inductance regions of a commutation loop can be realized.

The invention discloses an intelligent gate remote control method and system based on remote sensing and Internet of Things technologies, and belongs to the technical field of gate control. The method comprises the following steps: capturing spectral data of a target area through a remote sensing sensor carried by an unmanned aerial vehicle, and capturing environmental data of the target area through an environmental sensor deployed at a key node in the target area so as to construct a multi-dimensional data set; after data preprocessing is conducted on the multi-dimensional data set, key index abnormal points are screened and marked step by step so as to obtain an abnormal aggregation area, and operation parameters of an abnormal aggregation area gate are fitted; an execution instruction of the gate is generated, the execution condition of the gate is monitored through the state sensor, abnormal early warning is carried out on the gate with abnormal execution, an execution result is transmitted to the data processing module through the Internet of Things equipment, and the execution instruction is updated; and real-time monitoring and analysis of key index abnormal points are realized, so that the use of the gate is optimized, and the effective utilization efficiency of water resources is improved.

The invention discloses an elastic resource allocation and barrier gate linkage control system and method for mixed traffic of parking lots, a medium and equipment, and the system comprises a vehicle type recognition module, a dynamic resource allocation module, a cooperative control decision module, an emergency channel management module and a multi-mode communication module. According to the parking lot mixed traffic management system integrating vehicle-road cooperative communication, double-layer game optimization and elastic resource pool division, an independent resource pool and a dynamic quota adjustment mechanism of automatic driving vehicles and manual driving vehicles are constructed, and a charging pile-barrier gate cooperative optimization unit and a multi-stage emergency response protocol are combined; the global optimization of parking lot resource allocation and traffic control is realized, and the problems of prominent resource competition contradiction, separation of barrier gate control and resource allocation, insufficient intelligence of an emergency response mechanism and short delay of multi-mode communication and decision cooperation in a mixed traffic scene are solved.

The invention discloses a multi-water-source joint scheduling method and system, and relates to the technical field of water resource scheduling, and the method comprises the steps: setting a flood control water level target, and calculating the real-time water level data of each reservoir and the water level deviation value of the flood control water level target; predicting the water discharge amount of each reservoir by using a reinforcement learning algorithm, and adjusting the predicted water discharge amount based on the real-time water level change trend; a cooperative control mechanism between the reservoirs is constructed, gate flow parameters of all the reservoirs are calculated through a time sequence algorithm, and a reservoir gate control model is constructed based on the gate flow parameters; generating a gate control instruction in combination with the reservoir gate control model; and inputting the generated gate control instruction into a gate controller, and in combination with a preset scheduling rule, executing water source scheduling between reservoirs. The reinforcement learning algorithm is used for predicting the water discharge amount, dynamic adjustment is conducted according to the real-time water level change trend, unnecessary water resource waste is avoided, and the risk of isolated operation is reduced.

The invention discloses a smart garage gate control system and method applying an image analysis technology, and belongs to the technical field of image analysis, and the method comprises the following steps: collecting an image, obtaining a grayscale image, and analyzing comprehensive grayscale values corresponding to different colors; extracting the contour of the vehicle in the grayscale image, and training a deep learning model; collecting an image when a vehicle to be put in storage arrives at the position of the gate, and obtaining a gray level image; vehicle information of the vehicle is analyzed and recorded, a gate is controlled to be opened, and the vehicle enters a garage; cameras in the garage collect images of passing vehicles, and whether the passing vehicles in the images collected by the cameras are the same vehicle or not is judged; judging whether the passing vehicle leaves the garage or not, predicting the time when the vehicle arrives at the gate, and controlling the gate to open in advance, so that the vehicle leaves the garage; according to the invention, the identification of the vehicle is further limited, the identification accuracy is improved, the out-of-garage time of the vehicle is predicted, and the passing efficiency of the vehicle is improved.

The invention provides a display screen suitable for cholesterol liquid crystal and a driving method. The display screen comprises a time schedule controller, a source driver, a grid driver and a common voltage generating circuit. The time schedule controller obtains image data and output setting, and outputs a source electrode control signal, a grid electrode control signal and a common voltage control signal; the source electrode driver outputs a source electrode driving signal according to the source electrode control signal, the source electrode driving signal comprises a multi-frame first alternating current signal and a multi-frame first direct current signal, and then output is paused until a next image is displayed; the gate driver outputs a gate driving signal according to the gate control signal; the common voltage generation circuit outputs a common voltage signal according to the common voltage control signal, and the common voltage signal comprises a multi-frame second AC signal and a multi-frame second DC signal; the second AC signal and the first AC signal are synchronous and opposite in polarity, and the second DC signal and the first DC signal are synchronous. The image display requirement can be met, and power consumption is reduced.

The invention provides a fluid pipe network intelligent management and control system and method based on multi-order spatial-temporal feature fusion, and the system comprises an embedded Internet of Things sensing layer which comprises an electric valve control mainboard and / or a pneumatic valve control mainboard embedded with a remote information transmission module, the flow sensor, the heat sensor and the water invasion sensor are connected with the control mainboard; the multi-order spatio-temporal feature processing layer comprises a spatio-temporal feature extraction module configured to perform sliding window slicing processing on time sequence data of pressure, flow velocity and temperature parameters; and the feature fusion module is configured to perform feature alignment on the vibration atlas, the voiceprint signals and the infrared thermal imaging data through a multi-head attention mechanism. According to the fluid pipe network intelligent management and control system and method based on multi-order spatio-temporal feature fusion, the management and control efficiency and safety of the fluid pipe network are remarkably improved through embedded multi-source sensing, multi-order spatio-temporal feature fusion and an intelligent decision framework.

The utility model relates to the technical field of medical equipment, in particular to an electric coagulation forceps device with a nerve electrophysiology monitoring function and a function gating circuit, and the gating circuit comprises a main control module, a gating control module, an electrophysiology stimulation module, an electrophysiology monitoring module and an electric coagulation generation module. The main control module is used for receiving a switching signal input by a user and generating a gating enable signal corresponding to the switching signal; and the gating control module is used for generating a working enable signal corresponding to the gating enable signal so as to control at least one of the electrophysiological stimulation module, the electrophysiological monitoring module and the electrocoagulation generation module to work. In the operation process, if a doctor selects the electrophysiological stimulation module, the electrophysiological stimulation module can electrically stimulate nervous tissue according to a working enable signal, so that nerves can transmit an electrophysiological signal sufficient to be monitored; and then the electrophysiology monitoring module carries out intraoperative electrophysiology signal monitoring on the nervous tissue so as to detect whether the nerves are damaged or not.

According to a vehicle door control method, device and system and intelligent driving equipment, a vehicle door control device is in communication connection with an air bag controller of a vehicle, and the vehicle door control device is in communication connection with a vehicle integration unit of the vehicle. And the vehicle door control device is in communication connection with each door lock actuator in at least one door lock actuator of the vehicle. More specifically, the vehicle door control device comprises a control module and a power supply module, the power supply module is used for supplying power to the control module, and the control module controls at least one door lock actuator to execute vehicle door unlocking when receiving a collision signal from an airbag controller and / or a vehicle integrated unit; the collision signal indicates a collision of the vehicle. The technical scheme can be applied to the field of vehicle safety related to intelligent vehicles such as electric vehicles and new energy vehicles, the vehicle door unlocking success rate can be increased under the condition that the vehicles collide, and therefore the safety of drivers and passengers in the vehicles is improved.

The invention provides a vehicle emergency unlocking system and method and a vehicle, and the system comprises a collision detection unit which is used for obtaining a collision signal; the door control unit is used for receiving the collision signal and unlocking a vehicle door lock according to the collision signal; the whole vehicle storage battery is used for supplying power to the door control unit; the energy storage unit is used for supplying power to the door control unit, and the emergency unlocking switch is installed on the outer side of the vehicle body, electrically connected between the energy storage unit and the door control unit and used for controlling the energy storage unit to supply power to the door control unit when a storage battery of the whole vehicle cannot supply power to the door control unit. After the vehicle is collided, the vehicle door lock can be opened through the door control unit according to the collision signal, especially under the condition that a storage battery of the whole vehicle is powered off after collision, the energy storage unit can serve as a standby power source, external rescue workers operate the emergency unlocking switch to enable the energy storage unit to supply power to the door control unit, and the door control unit is powered off. Therefore, under the condition that an external rescue worker does not have a legal key of the vehicle, the external rescue worker can enter the vehicle normally, and the maintenance cost which is greatly increased in the later period due to violent damage is avoided.

The embodiment of the invention provides a control method of an inspection robot, electronic equipment, a storage medium and a program product. Relates to the big data field. The method comprises the following steps: determining the distance between the inspection robot and an access control of a controlled area; when the distance between the inspection robot and the access control is smaller than or equal to a first preset value, acquiring environment information acquired by the inspection robot, and judging whether the distance between an unauthorized human body and the inspection robot is smaller than or equal to a second preset value or not according to the environment information; detecting whether target interception equipment exists around the inspection robot or not; according to the detection result, the position of the unauthorized human body, the position of the inspection robot and the position of the access control, controlling the target interception equipment and / or the inspection robot until the probability that the unauthorized human body trails to enter the controlled area is smaller than or equal to a preset probability, and controlling the access control to be opened; controlling the inspection robot to move to the controlled area, and controlling the entrance guard to be closed. And the safety of the controlled area is improved.

The invention discloses a multi-time programmable device and electronic equipment. The multi-time programmable device comprises a semiconductor layer; the well region and the isolation structure are located in the semiconductor layer, and the isolation structure surrounds the well region; the selection transistor and the floating gate transistor are formed in the well region, and a floating gate of the floating gate transistor extends to the position above the isolation structure from the position above the well region; the control gate is located above the isolation structure, and the control gate is opposite to the floating gate in the horizontal direction; wherein the floating gate and the control gate are isolated through an inter-gate dielectric layer, the floating gate, the inter-gate dielectric layer and the control gate form a capacitor structure, and the control gate controls the potential of the floating gate. According to the multi-time programmable device, the size of the device is reduced, and the coupling ratio between the control gate and the floating gate is increased.

The invention discloses a split type back door control method, device and equipment and a storage medium, and relates to the technical field of vehicle back door control, the split type back door control method comprises the steps that an actuation instruction of a split type back door is responded, and a first back door or a second back door is controlled to actuate according to the actuation instruction; when the split type back door stops acting, a target back door which stops acting is determined; detecting whether the position where the target back door stops acting is located in a collision area or not; and when the position where the target back door stops acting is located in the collision area, the first back door and / or the second back door are / is controlled to move based on the emergency position. By arranging the emergency position, when collision between the first back door and the second back door is about to happen, the corresponding back door is controlled to quickly return to the emergency position, the split type back door can be quickly controlled, the waiting time is shortened, and the control effect is improved.

The invention discloses a power gating system, a power gating method and a system on chip. Relates to the technical field of power management, and comprises a central processing unit used for writing software power-down configuration information into a register module; the register module is used for triggering a software power-down request according to the software power-down configuration information and sending the software power-down request to the power gating controller; the system power consumption controller is used for determining a system power consumption mode according to the state of the central processing unit, triggering a hardware power-down request and sending the hardware power-down request to the power gating controller under the condition that the system power consumption mode is a low-power-consumption mode; and the power gate controller is used for detecting the state of a bus of the power domain based on the software power-down request or the hardware power-down request, and executing power-down time sequence control on the power domain under the condition that the state of the bus is detected to be an idle state. The technical problems that the power gating speed is low and the software overhead is large when the bus state is inquired through software with high complexity in the prior art are solved.

The invention relates to an intelligent valve control method based on a double-delay depth deterministic strategy gradient. The method comprises the steps that firstly, a regulating valve mathematical model is established, a valve transfer function is determined, and a valve simulation environment is established; then, on the basis of the valve simulation environment, parameters of the regulating valve mathematical model are optimized and adjusted through a double-delay depth deterministic strategy gradient algorithm; and finally, PID valve control is realized based on the optimized and adjusted parameters. Compared with the traditional method, the PID controller optimized and set by using the TD3 algorithm has the advantages that the steady-state error of the system is remarkably reduced, and the target tracking precision is remarkably improved. Through self-adaptive adjustment of reinforcement learning, the system can be matched with a reference target more accurately, error accumulation is reduced, and the stability of precision control is improved. Compared with manual adjustment, the TD3 algorithm can continuously optimize controller parameters according to real-time feedback of the system, so that the control system has higher adaptability and self-adjustment capability.

A joint optimization method for path selection and gate scheduling in time-sensitive networking comprises S1, a CNC finding a TSN topology, and abstracting same into a network directed graph; S2, a terminal device sending to a CUC a TSN connection request, and the CUC sending same to the CNC; S3, the CNC selecting K shortest paths as alternative paths; S4, the CNC selecting m preferred paths; S5, the CNC finding an optimal transmission path for a TT stream, and finding a proper transmission path for a non-TT stream; S6, CNC completing traversal; S7, configuring a gate control list for the optimal transmission path of each pair of terminal devices; and S8, the CNC encapsulating a computation result into a gate scheduling table, configuring the gate scheduling table to a TSN switch, and then sending a traffic transmission computation result to the TSN terminal device.

The present application provides a gate driving module and a display panel. The gate driving module includes a plurality of cascaded gate driving circuits and a frequency division control line electrically connected thereto (for transmitting a frequency division control signal). Each of the gate driving circuits includes a gate control unit for receiving a gate control signal generated by an upper stage of gate driving circuit, an output unit electrically connected to the gate control unit via a first node and a second node (for outputting the gate signal and transmitting it to a lower stage of gate driving circuit), and a frequency division control unit electrically connected between the gate control unit and the output unit (for controlling a signal from one of the first node and the second node according to the frequency division control signal) to realize a frequency division function.

Gate control of power semiconductor devices using reduced gate drivers is disclosed. A circuit breaker may include a multitude of transistors, such as insulated gate bipolar transistors (IGBTs), connected in series with one another. Each transistor may be connected to a respective gate resistor. Diodes may be connected between various gate resistors. One or more resistor-capacitor (RC) snubber circuits may be provided in parallel with one or more of the transistors. Likewise, one or more metal-oxide varistors (MOVs) may be connected in parallel to one or more of the transistors. A gate driver (e.g., a single gate drive) may be connected to the one or more diodes and an emitter of at least one of transistors.

The invention provides a display device which is characterized in that two cascaded gate drive circuits are spaced by X gate drive circuits, and the phase difference of first clock signals corresponding to the two cascaded gate drive circuits is (X + 1) H, the effective level of a first gate control signal corresponding to the compensation transistor and the effective level of a second gate control signal corresponding to the data transistor are at least partially overlapped; the effective level of a second gate control signal corresponding to the data transistor is located between two first effective levels of a first clock signal applied by a gate drive circuit corresponding to the compensation transistor, and the phase difference between the effective level of the second gate control signal corresponding to the data transistor and one of the two first effective levels is larger than 0 and smaller than (X + 1) H, therefore, in the same sub-pixel, the effective level of the second gate control signal corresponding to the data transistor does not coincide with the moment when the voltage drop of the first gate control signal corresponding to the compensation transistor occurs, and the problem of uneven display is solved.

An electric valve / door, and a control apparatus and method thereof are provided. The electric valve / door includes a control apparatus. The control apparatus includes an alternating current (AC) asynchronous motor, a transmission device, and a valve driver. The valve driver is connected to the AC asynchronous motor. The AC asynchronous motor is connected to the valve / door through the transmission device. The valve driver is configured to collect information of a real-time torque of the AC asynchronous motor or the valve / door during operation, and take a set torque of the valve driver as an input and the real-time torque as a feedback to immediately correct an output torque of the valve driver or a limit value of the output torque by using a proportional-integral-derivative (PID) control algorithm, to meet requirements for response speed and control precision of each stage in opening and closing processes of the valve / door.

The invention relates to the field of flight control of aircrafts, and provides a control method and system for high-precision tracking of a landing glide line by an unmanned aerial vehicle, and the unmanned aerial vehicle. The control method comprises the steps that S1, a control structure for controlling the height of the elevator is determined, specifically, a double-ring cascade PID control structure is adopted, a pitch angle ring is a PID control structure, and a height ring is a PID control structure; a lag network is introduced between the pitch angle ring and the height ring; s2, an accelerator channel adopts a control structure that the air speed is controlled by an accelerator; s3, a landing height instruction and an air speed instruction are obtained, and the unmanned aerial vehicle is controlled to land along the designed glide line track through a control structure for controlling the height through an elevator and a control structure for controlling the air speed through an accelerator. The control system comprises a control module for controlling the height of the elevator, an accelerator control module and a landing glide control module. The method has the beneficial effects that the accuracy of tracking the landing glide track height by the unmanned aerial vehicle is effectively improved, and the safety of the unmanned aerial vehicle in the landing process is ensured.