31 results about "Critical range" patented technology

The invention discloses an image processing method and system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the image processing method based on artificial intelligence comprises the steps: S1, obtaining to-be-processed data according to an initial collection frequency; s2, preprocessing the to-be-processed data to obtain preprocessed data; s3, obtaining a target mining data set according to the collected codes, analyzing the preprocessed data through the target mining data set to obtain a current difference value, analyzing the current difference value, and if the current difference value belongs to a normal range, executing S1; if the current difference value belongs to the critical range, adjusting the initial acquisition frequency to obtain a new acquisition frequency, obtaining to-be-processed data according to the new acquisition frequency, and executing S2; and if the current difference value belongs to the abnormal range, sending alarm information. According to the method, the to-be-processed data can be corrected, so that the data quality is improved, and timely early warning can be performed on disaster hidden dangers.

The invention relates to the technical field of roller coating hyperbolic aluminum plate machining control, in particular to an edge auxiliary traction system and method for longitudinal large-curvature forming of a roller coating hyperbolic aluminum plate. The edge auxiliary traction system comprises a clamping pre-deformation unit, when a main stretcher is started, a traction clamping jaw pulls down at a basic speed, and a dynamic proportional relation between the edge stretching speed and the central stretching speed is established; during stretching, when the displacement increment reaches a threshold value, the traction force is proportionally distributed according to the distance from the center line, the pull-down force is updated in real time, when the strain deviation exceeds the limit, a deviation area is positioned through a multi-modal array, the traction speed and the pull-down force of the area are increased, and the local curvature radius reaches a critical range, a reinforced traction mode is started; speed and plastic flow phase locking and grain orientation regulation and control are achieved, traction force is maintained till stress is released in the pressure maintaining stage, the longitudinal large-curvature forming precision of the roller-coated hyperbolic aluminum plate is improved, wrinkles and cracks are reduced, and the method is suitable for machining of the high-precision hyperbolic aluminum plate.

The invention relates to the technical field of power equipment connection, and discloses a cable connector for an internal gateway of a power cabinet, which comprises an active protection mechanism, and is characterized in that the real-time temperature of the joint of the cable connector and a cable is monitored through a temperature sensing assembly arranged in the active protection mechanism; when the temperature of the joint of the cable connector and the cable exceeds a critical temperature range, the overheating protection mechanism and the active protection mechanism drive the cable to fall off from the signal connection end of the cable connector, thereby preventing internal components of the cable connector and the active protection mechanism from being damaged due to overheating. When the temperature of the joint of the cable and the cable connector is between the optimum working range and the critical range, a temperature sensing assembly in the overheat protection mechanism monitors the phenomenon, a control system arranged in the power cabinet drives a cooling device to input stable working current, local heat dissipation is carried out on the joint of the cable connector and the cable, and the cable connector is prevented from being damaged. And the overall service life of the cable connector and the cable is further prolonged.

The invention discloses a thermal deformation control method for hot gas bulging forming of ultrahigh-strength steel. According to the method, the temperatures of a fillet area and a central area of a mold are controlled to be lower than the temperature of a non-deformation supporting area in the axial material supplementing and radial forming stage; bulging is conducted through a dynamic air pressure curve, the strain rate is inversely calculated in real time based on the wall thickness measured through laser, and the strain rate is stabilized within the critical range through closed-loop feedback; meanwhile, the temperature of the pipe blank is monitored in real time through a thermal infrared imager and compared with a target value, and the deviation is controlled within + / -5 DEG C by adjusting a mold temperature control unit; according to the method, the dynamic air pressure curve is introduced and is cooperatively controlled with the strain rate in real time, so that the deformation rate of the material in the whole bulging process is always stabilized in the optimal critical plasticity interval, the deformation capacity of the ultrahigh-strength steel at the high temperature can be fully exerted, the uniformity of wall thickness distribution of a component can be greatly improved, and the deformation rate of the ultrahigh-strength steel at the high temperature can be improved. And local excessive thinning or fracture caused by out-of-control strain rate is avoided.

The invention discloses an unmanned vehicle navigation positioning method and system based on particle swarm optimization, and relates to the technical field of intelligent traffic, and the method comprises the following steps: S001, building an inertia weight regulation table, and recording and recognizing the critical range of inertia weight change through the historical moving trajectory of an unmanned vehicle and environment change to form a basic parameter set; and S002, constructing a speed change buffer chain under the guidance of the inertia weight regulation and control table, performing hierarchical and segmented processing on the particle swarm real-time speed adjustment amount, and constraining the speed change amplitude and rhythm to obtain a limited speed adjustment sequence for suppressing group synchronous oscillation. According to the invention, by introducing an inertia weight regulation table, a speed change buffer chain, a time sequence regulation cable and a position balance belt, dynamic balance regulation and closed-loop control of particle swarm navigation positioning are realized. According to the method, speed synchronous oscillation is effectively inhibited, the pose output is smoothed, and continuous connection of steering and power control is kept, so that the navigation and positioning stability and control precision of the unmanned vehicle are improved.

Disclosed are a method for increasing the viability of cells by ultrasound irradiation and an ultrasound irradiation apparatus using same. The method comprises: applying a drug and an epidermal drug delivery system onto the epidermis of a subject; and, with ultrasound parameters each being preset within a certain range, an ultrasound irradiation apparatus irradiating ultrasound onto the epidermis of the subject through an ultrasound generation unit placed within a critical range from the epidermis of the subject, wherein the epidermal drug delivery system induces the formation of cavities, i.e., cavitation around the epidermis of the subject when the ultrasound is irradiated, the ultrasound parameters at least include an ultrasound pressure and an ultrasound duty percentage, the ultrasound pressure is 0.5-1 MPa, and the ultrasound duty percentage is 1-5%.

The present invention discloses a method, device, storage medium and radar for estimating the operating range of a marine radar. The method includes: when the theoretical operating range of the radar is greater than the critical range, determining a correction coefficient according to the theoretical operating range of the radar, the critical range, the equivalent earth curvature radius and the target equivalent height; correcting the theoretical operating range of the radar according to the correction coefficient to obtain the corrected operating range of the radar; and making the evaluated detection operating range closer to the actual level of the radar. The method for estimating the operating range of the marine radar proposed by the present invention is simple and easy to understand. Through multiple batches of navigation radar sailing tests, it is verified that its estimation result is closer to the actual operating range of the radar, more accurate, and is beneficial to become an important reference for estimating the operating range of the marine radar.

This invention relates to the field of power electronic converter control technology and discloses a method and apparatus for judging the transient stability of a hybrid system with a grid-connected converter. The method includes constructing an equivalent model of the hybrid system comprising a grid-connected converter and a network-connected converter, wherein a virtual impedance is connected in series in the branch of the network-connected converter; constructing a Lyapunov energy function based on the equivalent model, wherein the independent variables include the power angle and phase-locked loop frequency of the grid-connected converter, and the power angle, frequency, and voltage amplitude of the network-connected converter; determining the stability domain boundary of the hybrid system using the Lassel invariant set principle when the derivative of the energy function with respect to time is less than or equal to 0; calculating the critical range of the virtual impedance based on the changing trend of the stability domain boundary, and determining the target value of the virtual impedance to maintain the transient stability of the hybrid system. The above method achieves quantitative judgment and parameter tuning of the transient stability of the hybrid system.

The application provides a method for coping with non-cooperative targets by a UAV formation based on a reachable set, comprising: obtaining flight state information and control information of target UAVs and non-cooperative target UAVs, and detecting whether potential conflicts exist between the target UAVs and the non-cooperative target UAVs; when potential conflicts exist, determining a dangerous set according to the flight state information of the target UAVs and the non-cooperative target UAVs, and constructing a system dynamic data group; constructing a Hamilton-Jacobi partial differential equation with the system dynamic data group and a pre-defined cost value function; taking an implicit surface function corresponding to the dangerous set as a termination condition, solving the Hamilton-Jacobi partial differential equation, and obtaining an optimal control strategy; determining a boundary reachable set according to the optimal control strategy; and when the target UAVs reach a critical range of the boundary reachable set, waking up a safety controller to adjust the control strategy of the target UAVs. By implementing the method, the calculation is reduced, potential collisions are avoided, and flight safety is ensured.

1. The name of the design product: range hood control graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface content displayed on the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: to reflect the ambient air quality, and the user can realize the function of range hood air purification by clicking, touching icons (keys), etc. 7. The change state of the graphical user interface: design 1 front view is the main interface; click weak gear to enter design 1 interface change state diagram weak gear working interface; design 2 front view is the main interface; click the explosive stir-fry gear icon to enter design 2 interface change state diagram explosive stir-fry gear working interface; design 3 front view is the main interface; click the power icon to enter design 3 interface change state diagram 1 strong gear working interface; the interface displays the environmental PM2.5 content, and after a preset time, enter design 3 interface change state diagram 2 detection result (qualified range) display interface; design 4 front view is the main interface; click the power icon to enter design 4 interface change state diagram 1 strong gear working interface; the interface displays the environmental PM2.5 content, and after a preset time, enter design 4 interface change state diagram 2 detection result (exceeding the standard) display interface; design 5 front view is the main interface; click the power icon to enter design 5 interface change state diagram 1 strong gear working interface; the interface displays the environmental PM2.5 content, and after a preset time, enter design 5 interface change state diagram 2 detection result (critical range) display interface; design 6 front view is the main interface; if the shutdown time exceeds the preset time, click the power icon to enter design 6 interface change state diagram intelligent ventilation working interface.

A power conditioning system according to an aspect includes a processor that is configured to identify a first grid frequency variation and a measured frequency according to injection of reactive power, identify whether at least one of the first grid frequency variation or the measured frequency exceeds a critical range, and detect an islanding based on the number of times of exceeding the critical range within a predefined period of time.

Systems and methods are provided for identification and discrimination of subpopulations within a mixture of particles. The systems and methods implement continuous calibration of the classification of particles within the mixture to provide consistency in operation and to reduce inter- and intra-batch processing variation. The systems and methods produce advantageously sorted particle products.

The present application provides a dynamically adjustable optical mode selection control device and method, belonging to the field of optical communication technology. The method includes a silicon waveguide layer and a PWB layer. Each coupling region of the silicon waveguide layer and the PWB layer is provided with a stacked absorption layer. The stacked absorption layer is deposited inside the PWB, and there is a distance between the stacked absorption layer and the silicon waveguide layer. A MEMS cantilever beam is connected to the top of the stacked absorption layer. The MEMS cantilever beam is disposed outside the PWB layer and is used to adjust the distance between the stacked absorption layer and the silicon waveguide layer. The distance between the stacked absorption layer and the silicon waveguide layer is maintained within a set critical range. The MEMS cantilever beam is used to adjust the distance between the stacked absorption layer and the silicon waveguide layer, thereby achieving selective absorption of a specific mode and selecting the required coupling efficiency for mode transmission, thereby better performing mode selective absorption of silicon-based photonic devices and helping to optimize absorption efficiency.

The invention relates to the technical field of disease diagnosis, and particularly discloses an AI diagnosis and treatment system for nervous system diseases, which is characterized in that physiological parameters of a patient are acquired through data acquisition equipment, a physiological parameter abnormal coefficient S1 is calculated according to the physiological parameters, and a critical range ratio is calculated based on the physiological parameter abnormal coefficient S1; the method comprises the following steps: drawing a time-critical range ratio curve based on a critical range ratio, calculating a critical area ratio mean value and a length ratio of the curve to calculate a neural early warning coefficient, segmenting and training a skull CT or MRI image by using a convolutional neural network algorithm, identifying the number and the area of lesion blocks, and determining the number and the area of the lesion blocks. The nervous system disease type of a patient is judged based on a trained model, the average value ratio of the number of lesions and the maximum lesion area ratio are calculated, a disease judgment coefficient is obtained, the disease probability of the patient is analyzed, and the system provides a powerful tool for diagnosis of nervous system diseases by comprehensively applying various data analysis and AI technologies.

The invention relates to the technical field of water electrolysis hydrogen production, in particular to water electrolysis hydrogen production equipment and method using ultrapure water. The equipment is provided with a detection element for collecting cathode pressure, anode pressure and gas production parameters; the configuration controller controls output of the direct-current power supply and action of the release valve according to acquired data; the controller judges the hydrogen and oxygen interchanneling risk based on the collected data, and determines that the hydrogen and oxygen interchanneling risk possibly exists when the cathode and anode pressure difference is within a preset critical range; and executing an opening pulse action under the condition, acquiring and contrasting transient responses of the cathode pressure and the anode pressure in the opening pulse action process so as to obtain a detection result about whether hydrogen and oxygen interplay occurs or not, and updating a judgment result about the hydrogen and oxygen interplay risk. The stability of the quality of produced gas can be kept in the electrolysis process, and the safety of hydrogen and oxygen separation is ensured.

The invention relates to a sleep detection method, device and equipment, and belongs to the technical field of intelligent monitoring. The method comprises the steps of obtaining time sequence thermal infrared image data of a target; extracting a current frame of infrared image from the time sequence thermal infrared image data, and segmenting the current frame of infrared image into a high-temperature region and a low-temperature region; extracting a target head area and an unshielded body area of the target from the current frame of infrared image; calculating the proportion of the unshielded body; and when the proportion of the unshielded body is between the second threshold value and the first threshold value, inputting the current frame of infrared image into a pre-trained sleep detection model, and outputting a detection result of whether a quilt kicking condition exists or not. According to the method, the quilt kicking condition can be quickly screened, the deep learning model is called only in the critical range for further accurate judgment, and the judgment accuracy is improved while the judgment efficiency is improved. The method can also work normally in a low-light or light-free environment at night, and overcomes the defects of a common RGB camera detection method.

The present application discloses an image processing method and system based on artificial intelligence, which relates to the field of artificial intelligence technology. The image processing method based on artificial intelligence includes the following steps: S1: acquiring data to be processed according to an initial acquisition frequency; S2: preprocessing the data to be processed to obtain preprocessed data; S3: acquiring a target mining data set according to an acquisition code, analyzing the preprocessed data through the target mining data set to obtain a current difference value, and analyzing the current difference value. If the current difference value falls within a normal range, S1 is executed; if the current difference value falls within a critical range, the initial acquisition frequency is adjusted to obtain a new acquisition frequency, data to be processed is acquired according to the new acquisition frequency, and S2 is executed; if the current difference value falls within an abnormal range, an alarm message is sent. The present application can correct the data to be processed, thereby improving data quality, and can provide timely warnings of disaster hazards.

Systems and methods are provided for identification and discrimination of subpopulations within a mixture of particles. The systems and methods implement continuous calibration of the classification of particles within the mixture to provide consistency in operation and to reduce inter- and intra-batch processing variation. The systems and methods produce advantageously sorted particle products.

A power conditioning system according to an aspect includes a processor that is configured to identify a first grid frequency variation and a measured frequency according to injection of reactive power, identify whether at least one of the first grid frequency variation or the measured frequency exceeds a critical range, and detect an islanding based on the number of times of exceeding the critical range within a predefined period of time.

The present application provides an elevator state detection method, apparatus, device, and storage medium. The method includes: performing a frequency domain transformation on a recently acquired acceleration sequence to obtain a target spectrum, and converting the target spectrum into a power spectrum; then, when the power value corresponding to the power spectrum jumps from a first power zone to a second power zone, starting to record real-time acceleration values, and stopping recording until the real-time acceleration values ​​fall within a preset critical range, thereby obtaining a target acceleration sequence; comparing the target acceleration sequence with a set state template sequence to determine the vertical motion state of the elevator; finally, performing a difference calculation on the elements in the recently acquired air pressure sequence and a reference air pressure value to obtain an air pressure difference sequence; inputting the air pressure difference sequence into a trained neural network model to obtain a prediction result; and determining the elevator floor position based on the prediction result. This solution effectively improves the accuracy of elevator state detection and provides a reliable state data reference.

The application relates to the technical field of power equipment connection, and discloses a cable connector for an internal gateway of a power cabinet, which comprises a positive protection mechanism; the temperature component arranged in the positive protection mechanism is used for monitoring the real-time temperature at the cable connector and cable connection position; when the temperature at the cable connector and cable connection position exceeds the critical temperature range, the overheating protection mechanism and the positive protection mechanism drive the cable to fall off from the signal connection end of the cable connector, so that overheating damage of the internal components of the cable connector and the cable is avoided; when the temperature at the cable connector and cable connection position is between the optimal working range and the critical range, the temperature component in the overheating protection mechanism monitors the phenomenon, and drives the cooling device to input stable working current through the control system arranged in the power cabinet, so that the cable connector and cable connection position is locally cooled, and the overall service life of the cable connector and the cable is further improved.

The present invention relates to patient positioning. In order to improve patient positioning during a scan, an autonomous motion positioner is proposed using a critical range, which may correspond to maximum corrections achievable by the scanner hardware and the maximum tolerable image distortions. The critical range is determined based on one or more machine settings of the medical imaging system. As the machine setting(s) may vary in a given imaging exam, the critical range may dynamically change in response to a change of the machine setting in the given imaging exam. External sensors may measure, via a feedback loop, the deviation from the start position, i.e. the imaging pose position. If patient motion is too large and the motion parameter (e.g. translation and / or rotation) exceeds the determined critical range, then the scan process may be stopped. The autonomous scanner may hold in an idle mode. During that mode, the patient may be guided to retake its original position via a feedback system. A control loop may calculate critical range deviation and the scan process may be continued, if the motion parameter is less than the determined critical range. Accordingly, uncorrectable motion artefacts due to large body movements may be avoided. The motion positioner may be suitable for systems, such as MR, MR-LINAC, computed tomography (CT), and positron emission tomography (PET).

To solve the problem that a digital rear mirror of a vehicle is adapted to a change of an external environment in real time and disturbs a field of view of a driver like dazzling.SOLUTION: A method for controlling a digital rear mirror control apparatus of a vehicle includes: an input step of receiving input of an outside video image of the vehicle through a camera mounted in the vehicle; a video image analysis step of dividing the inputted video image into a plurality of regions in accordance with a reference which is preset to the inputted video image; a determination step of comparing brightness values of the divided regions with a preset critical range and determining whether a correction of the inputted video image is required; and a video image processing step in which, in a case where a brightness value of at least any one region in the divided regions is out of the critical range, brightness of the inputted video image is adjusted.SELECTED DRAWING: Figure 3

The invention discloses a method for evaluating ecological environment evolution situation and value along an extra-high voltage line, and the method comprises the steps: collecting calibration parameters related to vegetation coverage, soil physicochemical, hydrological dynamic, geologic structure and biological diversity through an extra-high voltage ecological evolution monitoring and analysis platform; a disturbance critical interval of each parameter is determined through an extra-high voltage ecological disturbance threshold model, a coupling response relationship between geology and other ecological parameters is analyzed through a geologic ecological response model along a line, and evolution trends under different time dimensions are quantified by using an ecological evolution trend weighted analysis algorithm. The method solves the problems that an existing method is single in evaluation dimension and insufficient in systematicness, and the method has the advantages that the evaluation index system including spatial differentiation and time evolution characteristics is constructed, and finally, multi-model output results are integrated, so that the comprehensive evaluation of the ecological, economic and social values of the ecological environment along the extra-high voltage line is realized. And the comprehensiveness and the accuracy of the evaluation result are improved.

The invention discloses a museum collection management system, and relates to the technical field of intelligent monitoring management. An environment data acquisition module is used for acquiring related environment factor data influencing museum collection storage at a fixed sampling frequency, and setting the related environment factor data suitable for collection storage and a critical range of allowable variation amplitude; a first judgment model is constructed to judge whether the related environmental factor data is in a supercritical range or not, when the related environmental factor data is in the supercritical range, a first early warning signal is generated, and a second judgment model is constructed to judge whether the change amplitude of the related environmental factor data exceeds the critical range of the allowable change amplitude or not; and when the change amplitude of the related environmental factor data is in the supercritical range, a second early warning signal is generated, and supercritical range warning is performed according to the early warning signal, so that the related environmental factors and the change amplitude can be maintained in a proper range, and storage of collections is facilitated.

The invention provides a dynamic adjustable light mode selection control device and method, and belongs to the technical field of optical communication, the method comprises a silicon waveguide layer and a PWB layer, each coupling area of the silicon waveguide layer and the PWB layer is provided with a stack absorption layer, the stack absorption layers are deposited in the PWB layer, a space exists between the stack absorption layers and the silicon waveguide layer, and the silicon waveguide layer is arranged in the stack absorption layers. The top of the stack absorption layer is connected with an MEMS cantilever beam, the MEMS cantilever beam is arranged outside the PWB layer, and the MEMS cantilever beam is used for adjusting the distance between the stack absorption layer and the silicon waveguide layer; and the distance between the stack absorption layer and the silicon waveguide layer is kept in a set critical range. The distance between the stack absorption layer and the silicon waveguide layer is adjusted through the MEMS cantilever beam, so that selective absorption of a specific mode is achieved, the needed coupling efficiency is selected for mode transmission, mode selective absorption of the silicon-based photonic device is better carried out, and optimization of the absorption efficiency is facilitated.

The invention relates to the technical field of optical lens design, and discloses a Fermat spiral golden angle offset lens arrangement method and system.The method comprises the steps that lens parameters are obtained, a curved surface polar coordinate system is established, a Fermat spiral model is adopted to generate an initial dot matrix, uniformity is evaluated through Voronoi space subdivision, and a final lens array is obtained. Self-adaptive offset optimization is carried out in a golden angle critical range, a central vision protection area is applied to constrain and restore the uniformity of an inner ring, a pre-distortion compensation mechanism is adopted when curved surface projection mapping is executed, optical parameters of the microstructure are configured according to the radial position, and finally a digital processing file is generated. According to the invention, high-uniformity isotropic arrangement of the microstructures can be realized on the curved surface of the lens, and the technical problems that the existing periodic arrangement generates structured artifacts and the existing non-periodic arrangement lacks adaptive optimization capability are solved.

The present invention relates to a pendulum rocker damper having an axis of rotation (2) for a drive train (3), comprising at least the following components: a primary side (4) torque-transmittingly connected to a first outer coupling (6), at least one rocker element (8), at least one first energy storage element (9) for exerting a first pretensioning force (10), at least one roller (11, 12), and a secondary side (5) torque-transmittingly connected to a second outer coupling (7), wherein the at least one roller (11, 12) is mounted such that it can roll on a rocker side roller track (13) and on an outer roller track (14) complementary to the rocker side roller track (13) and can be pretensioned against the roller tracks (13, 14) using a first pretensioning force (10) of the at least one first energy storage element (9). The pendulum rocker damper (1) is mainly characterized in that at least one second energy storage element (15) is provided in at least one of the rollers (11, 12) or roller tracks (13, 14) for exerting a second pretensioning force (16), and that the rollers (11, 12) are pretensioned against at least one of the roller tracks (13, 14) perpendicular to the track, at least in a rest position of the first energy storage element (9), using the second pretensioning force (16). By using the pendulum rocker element according to the invention, the interference noise can be reduced and the natural frequency can be moved into the non-critical range, thereby safely preventing roller sliding.

A silver-based chalcogenide array-type temperature-pressure collaborative sensor material and a method of use. The prepared sensor array can realize two applications: temperature-pressure sensing in solid, liquid, and gaseous environments, as well as temperature-pressure alarms. The present invention uses silver-based chalcogenides as sensitive materials, selects silver-based chalcogenide material components according to the actual environmental detection range, thereby achieving the design of the relationship between its resistivity and temperature and pressure changes, and collaboratively uses temperature-pressure sensitive components made of multiple components of silver-based chalcogenides to perform collaborative detection and alarm functions of temperature and pressure. The array-type temperature-pressure sensor prepared by the present invention through the selection of silver-based chalcogenide material components can realize the collaborative measurement of temperature and pressure in solid, liquid, and gaseous environments in the pressure range of 1MPa to 50GPa and the temperature range of 200K to 600K, as well as the application of temperature and pressure alarms in the above-mentioned critical ranges, and has application value in deep-sea exploration, deep earth exploration, oil exploration and mining, etc.

The invention provides a method for an unmanned aerial vehicle formation to cope with a non-cooperative target based on a reachable set, and the method comprises the steps: obtaining the flight state information and control information of a target unmanned aerial vehicle and a non-cooperative target unmanned aerial vehicle, and detecting whether the target unmanned aerial vehicle and the non-cooperative target unmanned aerial vehicle have potential conflicts or not; when the potential conflict exists, determining a danger set according to the flight state information of the target unmanned aerial vehicle and the non-cooperative target unmanned aerial vehicle, and constructing a system dynamic data set; constructing a Hamiltonian-Jacobian partial differential equation according to the system dynamic data set and a predefined cost value function; solving a Hamiltonian-Jacobian partial differential equation by taking an implicit curved surface function corresponding to the danger set as a termination condition to obtain an optimal control strategy; determining a boundary reachable set according to the optimal control strategy; and when the target unmanned aerial vehicle reaches the boundary reachable set critical range, waking up the safety controller to adjust the control strategy of the target unmanned aerial vehicle. By implementing the method, calculation is reduced, potential collision is avoided, and flight safety is ensured.