89results about How to "Improve survivability" patented technology

The invention relates to the technical field of photoelectric detection and radars, in particular to a calibration method, system and device for a radar and a laser anti-collision device and a medium, and aims to track and lock the same dynamic non-cooperative target through the laser anti-collision device and the phased array radar. Synchronously acquiring spherical coordinate observation data of the dynamic targets in the public view field under respective coordinate systems; and after the spherical coordinates are converted into rectangular coordinates, calculating a point set centroid, constructing a covariance matrix and performing singular value decomposition based on a rigid body transformation model, and directly solving a rotation matrix and a translation vector from a radar coordinate system to a laser anti-equipment-free coordinate system, thereby completing calibration. No external absolute coordinate reference is needed, only relative observation data of equipment is utilized, and the method has the advantages of being rapid in deployment, high in environmental adaptability, low in cost and high in calibration speed. The problems that in the prior art, a calibration system depends on RTK or a high-precision map, the environmental adaptability is poor, and the deployment requirement is high are solved.

The application discloses a multi-modal post-fusion invisibility method based on reinforcement learning, an electronic device and a medium, and the method comprises the following steps: acquiring a visible light image and an infrared image; generating an initial mask by an agent; setting the initial mask for the visible light image and the infrared image; inputting the visible light image with the mask into a visible light detector to obtain a confidence score of a target object in a visible light mode; inputting the infrared image with the mask into an infrared detector to obtain a confidence score of the target object in an infrared mode; performing post-fusion processing on the above scores to obtain a post-fusion confidence score; when the above three confidence scores are all less than a threshold value, the target object completes invisibility; otherwise, a reward function is calculated, reinforcement learning parameters are updated, an updated mask is generated by the agent, the above steps are repeated for iteration, and the above three confidence scores are all less than the threshold value.

This invention relates to the field of camouflage technology and discloses an inflatable camouflage device. The inflatable camouflage device includes a side inflatable module, a top inflatable module, and a camouflage decorative layer. The side inflatable module includes two side inflatable frames disposed on opposite sides of the device to be camouflaged. A first connector and a second connector are provided on the side inflatable frames. The first connector is used to connect to the device to be camouflaged. The side inflatable frames can be inflated and deployed or deflated and rolled up. The top inflatable module includes a top inflatable frame. A third connector and a fourth connector are provided on the top inflatable frame. The third connector is used to connect to the top of the device to be camouflaged. The top inflatable frame can be inflated and deployed or deflated and rolled up. The camouflage decorative layer can cover the upper surfaces of the side and top inflatable modules and can be detachably connected to the second and fourth connectors. This inflatable camouflage device is convenient and quick to set up and dismantle, can achieve multi-band camouflage, and provides good vehicle mobility and combat capabilities.

The invention relates to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle rotor pulling force-based load weight measurement method, which comprises the steps of obtaining a plurality of original lift force measurement values generated by each rotor in a set sampling period when an unmanned aerial vehicle is in a stable flight state, and forming an original lift force value set corresponding to each rotor; performing data cleaning and validity verification on each lift original value set, and calculating to obtain an initial lift value of each rotor after removing abnormal values; and calculating a global lift reference value according to the initial lift values of all the rotors. According to the method, multi-sensor data can be effectively fused, and the influence of factors such as flight attitude and aerodynamic change is dynamically compensated in calculation, so that stable and reliable weight estimation can be provided when the unmanned aerial vehicle hovers, cruises and even executes certain maneuvering actions, and key data support is provided for flight control, endurance evaluation and task planning.

The method comprises obtaining text information to be sent, mapping the text information through word embedding to obtain a vector sequence of discrete words in the text information, encoding the vector sequence to obtain semantic representation information of the text information, performing nonlinear mapping conversion on the semantic representation information to obtain symbol vector information of the text information, performing adaptive denoising based on a signal-to-noise ratio on the symbol vector information to obtain a corrected signal, and sending the corrected signal. The technical scheme provided in the embodiments of the present disclosure realizes explicit modeling and dynamic compensation of channel noise through adaptive denoising based on a signal-to-noise ratio, and also discards high delay, high complexity and bandwidth waste caused by repeated retransmission in a poor channel through an end-to-end strong robustness design.

The invention provides a traffic signal lamp redundancy identification system and method based on red light narrowband filtering, and belongs to the technical field of intelligent driving environment perception. The system is characterized in that a main processing module processes a color image based on a YOLOv8n model and a lightweight convolutional neural network, and outputs a first recognition result and the confidence of the first recognition result; when the confidence coefficient is lower than a threshold value, a redundancy identification module is started, a narrow-band image obtained by an auxiliary imaging module is analyzed, whether a strong red light signal emitted by a traffic signal red light exists or not is judged through self-adaptive threshold value segmentation, morphological processing and feature analysis, and a second identification result is generated; and the decision fusion module fuses the two paths of results to generate a final control instruction. According to the invention, through physical spectrum filtering and double-path information fusion, interference of ambient light such as sunset and the like is effectively overcome, and the robustness and safety of an automatic driving system in recognizing traffic lights under complex illumination, especially red light, are remarkably improved.

The application is particularly applied to a security risk dynamic evaluation and early warning system for information integrated monitoring, relates to the technical field of information security and industrial internet monitoring, and comprises a disaster energy capture and transient conversion module, a threshold triggering module, a terminal signal generation and emission module and a gradient heat insulation and anti-destroying protection module.In the application, the plug-in protocol adaptation and space-time synchronization alignment technology can access monitoring data and business system data of multiple types and multiple protocols without distinction, break the information barrier between different systems, provide a comprehensive, accurate and space-time unified data basis for risk evaluation, avoid risk omissions caused by one-sided data, and at the same time, build a hierarchical dynamic risk evaluation system, realize accurate quantification of risks and evolution trend prediction through adaptive weight adjustment and risk dynamic deduction.

This invention discloses a phase error tracking method and system based on dual weighting in OFDM systems, belonging to the field of wireless communication system technology. This application introduces a dual weighting mechanism to simultaneously evaluate and utilize static reference quality weights and dynamic measurement quality weights, thereby obtaining a more accurate estimate of channel phase error and significantly improving the performance of the communication system in harsh channel environments. Compared with the prior art, this application not only considers the quality of real-time measurement, but also incorporates the "historical" quality of the reference information used as the measurement benchmark, making the weight evaluation more comprehensive and accurate. It can effectively suppress the systematic bias introduced by the weights and prevent the propagation and contamination of errors throughout the entire data packet processing process. Moreover, in complex multipath channels, the dual weighting mechanism of this application can accurately identify and "ignore" continuously unreliable information sources, greatly enhancing the survivability of the system in harsh environments.

The application provides a kind of extreme disaster under power grid full life cycle carbon emission collaborative hierarchical control method, the method comprises: in extreme disaster scene, the original operation data and market economy data of microgrid global are acquired, and the original operation data and market economy data are denoised and reconstructed using variational mode decomposition algorithm, to obtain target data;Based on the target data, the power grid failure probability value is obtained by combining the preset interruption probability formula;The operation mode of microgrid is determined according to the power grid failure probability value;The control strategy of each operation mode is determined by solving the power grid failure probability value through objective function and constraint condition, and the operation state of the microgrid is adjusted based on the control strategy;Through the above technical scheme, the survivability and computing power service continuity of microgrid under extreme disaster are improved.

The application discloses an aircraft fault reconstruction and fault-tolerant control method, device, equipment, medium and product, and relates to the technical field of aircraft control and safety. The method comprises the following steps: acquiring the running state information of each rotor; determining complete failure faults based on the running state information of each rotor to obtain a determination result; if the determination result is that a complete failure fault occurs, locating the physical position of the fault rotor to obtain fault location information; based on the fault location information, performing reconstruction and execution processing of a target configuration according to preset decision logic to obtain a reconstructed configuration; and performing full-attitude control on the reconstructed configuration by using a nonlinear control law to stabilize the attitude of the aircraft and realize safe landing. After detecting a single-rotor fault, the aircraft configuration can be actively reconstructed and switched to the corresponding nonlinear control law, so that rapid attitude stabilization and safe landing after the fault are realized, and the survival ability of the aircraft is greatly improved.

The invention discloses a beetle elytra-imitated interlocking structure, a metamaterial plate comprising the beetle elytra-imitated interlocking structure and a composite armor system, and belongs to the field of multifunctional advanced protective materials. The interlocking structure comprises a plurality of functional elements arranged in a planar array, the adjacent functional elements are mechanically connected through geometric interlocking interfaces, the contact surfaces of the geometric interlocking interfaces are in a non-chemical bonding state and can generate relative dislocation under an impact load, and the geometric interlocking interfaces are in a non-chemical bonding state. Each functional element is integrally prepared from a polymer-based composite material dispersed with an electromagnetic loss filler, the interior of each functional element is of a three-dimensional porous micro-lattice structure with a negative Poisson's ratio effect, and the porosity and / or cell size of each three-dimensional porous micro-lattice structure are / is changed in a gradient manner in the thickness direction of the corresponding functional element. The metamaterial plate and the composite armor system using the interlocking structure can effectively inhibit structural layering under an impact load, can actively improve anti-penetration capability, and also have an excellent broadband electromagnetic wave absorption function.

The application discloses an insect exoskeleton morphological layup composite panel, a sandwich structure and a preparation method. The sandwich structure comprises two pieces of bionic layup composite panels and a piece of aramid honeycomb core layer. The bionic layup composite panel draws lessons from the spiral stacking microstructure of the insect exoskeleton, the layup design considers the symmetry and balance requirements of the composite material, a fixed rotation angle is introduced between adjacent fiber layers, and the rotation angle is taken as a period of 180 degrees, and after a plurality of periods are laid and heat-pressed and cured, the bionic layup composite panel is obtained. The bionic layup design effectively reduces the interlaminar shear stress of the composite material, weakens the inherent anisotropy of the composite material, and improves the transverse bearing capacity and impact resistance. The bionic layup composite panel and the aramid honeycomb core layer have the advantages of high specific strength, high specific stiffness, impact energy absorption, vibration and noise reduction, electromagnetic shielding and the like, and a structure and function integrated material with more excellent comprehensive performance is obtained, and the structure and function integrated material is expected to be widely used in main load-bearing structures of various spacecrafts.

The application discloses a kind of NLFM waveform design methods for anti-SAR combined interference, first determine the generation model of NLFM waveform, then establish the waveform optimization model of anti-repeater deception jamming and the waveform optimization model of anti-narrowband radio frequency interference, combinedly establish the waveform optimization model of anti-combined interference, finally split into two nonlinear constraint optimization sub-problems by multi-objective constraint optimization model, solve optimization problem using augmented Lagrange genetic algorithm, obtain the NLFM waveform of anti-SAR combined interference.The method of the application can resist two kinds of interference types simultaneously by optimizing the waveform of transmitting end, including repeater deception jamming and narrowband radio frequency interference, using the designed NLFM waveform as transmitting signal, can effectively suppress the influence of combined interference on the basis of realizing imaging performance, improve the survivability and practical efficiency of SAR system, so that SAR system can be widely used in resource exploration, geological mapping and other fields.

The invention relates to the technical field of ocean engineering, and particularly discloses an oscillating water column type wave energy breakwater integrated system based on a superstructure. The system comprises a breakwater carrier which is internally provided with a superstructure formed by a plurality of arc-shaped flow guide plates which are coaxially arranged. The superstructure divides the internal cavity of the carrier into a plurality of independent sector-ring-shaped cavities with different radial sizes. The top of each sector-ring-shaped cavity is provided with a cavity top plate and a vent hole, and the vent holes are connected with a turbine generator through pipelines. The breakwater carrier may be designed as a floating structure anchored by a mooring system or as a bottom-seated structure that is directly bottom-seated. Through the superstructure design, a plurality of oscillating water columns with different inherent frequencies can be excited in the system, so that efficient capture and conversion of broadband wave energy are realized. Meanwhile, the wave absorbing performance is effectively improved, and the wave load is remarkably reduced.

The invention relates to a method for synergistically enhancing bank slope vegetation water quality purification through arbuscular mycorrhiza and nitrifying bacteria, and belongs to the technical field of water environment ecological management and ecological engineering. The method comprises the following three core steps: preparation of an arbuscular mycorrhiza-nitrifying bacteria immobilized complex microbial inoculant, construction of a bank slope vegetation rhizosphere microhabitat, and cooperative regulation and control of system stabilization and purification functions. According to the method, the rhizosphere microhabitat of the bank slope vegetation is actively intervened by artificially inoculating the fungicide formed by the arbuscular mycorrhiza and the nitrifying bacterium community, and the symbiotic system formed by the arbuscular mycorrhiza-nitrifying bacterium composite community and the plants is utilized, so that the method is environment-friendly, high in cost benefit, simple and stable in operation condition, easy to engineer and suitable for large-scale popularization and application. And an innovative solution is provided for realizing synergistic interaction of bank slope ecological restoration and water quality purification.

The invention discloses a modular photovoltaic shed power station rapid assembling and supporting device, and belongs to the field of photovoltaic power stations, the modular photovoltaic shed power station rapid assembling and supporting device comprises a bottom plate, an electric rotating disc is arranged at the upper end of the bottom plate, a mounting seat is fixedly connected to the upper end of the electric rotating disc, a mounting rod is rotatably connected to the upper end of the mounting seat, and the outer wall of the mounting rod is fixedly connected to a mounting frame; a photovoltaic panel is arranged in the mounting frame; the upper end of the electric rotating disc is fixedly connected with a fixing plate, and the outer wall of the fixing plate is fixedly connected with a motor. According to the invention, the motor drives the gear and gear block linkage mechanism, thereby achieving the automatic adjustment of the inclination angle of the photovoltaic panel, and effectively improving the sun tracking precision and power generation efficiency. Meanwhile, a pure mechanical wind power induction and disconnection protection mechanism is utilized, a driving part is automatically separated in strong wind, the photovoltaic panel is prevented from being located at a high-risk windward angle, power generation optimization and passive safety protection functions are achieved, extra energy consumption is not needed, and the structure is simple and reliable.

This application discloses a knowledge- and data-driven elastic positioning method, system, and storage medium. The method includes: generating a knowledge graph based on a knowledge base in the positioning domain; the knowledge base includes multiple pieces of first knowledge information, including entity pairs in the positioning domain, relationships between entity pairs, and a first confidence level of the relationships; nodes in the knowledge graph represent entities, edges in the knowledge graph represent relationships between different entities, and the attributes of the edges include the first confidence level of the relationship represented by the edge; inferring a positioning model applicable to the target object based on currently available information sources, observation data of the available information sources for the target object, and the type of observation data; the positioning model includes positioning parameters, observation equations, and state transition equations; and locating the target object based on the observation data and the positioning model to obtain the positioning result of the target object.

The embodiment of the invention provides a power limiting method and device for an electric pump of an aircraft hydraulic system, computer equipment and a medium, and the method comprises the following steps: obtaining a switching signal of each generator contactor in a sliding window, judging whether a generator signal has stability or not, and according to the stability of the generator signal, determining the power of the electric pump according to the stability of the generator signal; setting a generator contactor stable signal; judging whether each generator can normally supply energy or not based on the generator contactor stabilizing signal; setting a combined instruction of the electric pump according to a pre-instruction of the electric pump cockpit and a switching signal of the electric pump cockpit; whether the power of the electric pump is limited or not is judged according to the number of the generators capable of supplying energy normally, and if the power needs to be limited, the power of the electric pump is limited according to a switching signal of an electric pump cockpit, the priority sequence of the electric pump and a combined instruction of the electric pump. According to the scheme, the power of the electric pump is dynamically limited, so that the energy efficiency and the system reliability are improved.

The invention discloses a mine robot emergency risk avoiding intelligent decision-making system, and the system comprises a disaster risk prediction module which is used for carrying out the time sequence prediction based on the data of a multi-source sensor, and outputting a disaster occurrence probability and a risk comprehensive index; the dynamic risk avoiding path planning module is used for constructing a dynamic risk map and performing path planning by adopting an improved A * algorithm; according to the system, advanced early warning, dynamic path planning, hierarchical response and multi-agent coordination in a mine catastrophe environment are realized by constructing an intelligent closed-loop architecture of perception, prediction, decision making, execution and coordination. Multi-source sensor data are fused, an LSTM time sequence prediction model is adopted to carry out disaster probability prediction, an A * algorithm is improved to realize risk sensitive path planning, a hierarchical response strategy is realized based on a finite-state machine, and robot group collaborative risk avoiding is realized through a publishing and subscribing mechanism. According to the method, the survivability, the decision-making efficiency and the collaborative operation level of the mine robot in the catastrophe environment are improved.

The invention relates to the technical field of coal mine underground dust prevention and control, and discloses a working face negative pressure ventilation dust falling method, system and device. The method comprises the following steps that an intelligent control center obtains the real-time traction speed and the real-time coordinate position of a coal mining machine through a dust source tracking and positioning sensing unit; establishing coordinate mapping logic according to the real-time coordinate position so as to calculate the number of the hydraulic support currently corresponding to the coal mining machine; judging the running direction of the coal mining machine according to the sign sign of the real-time traction speed, and generating a support number set in an activated state at the current moment by combining a preset advanced dust pre-suction support number and a preset lagging purification support number; and sending an instruction to the distributed negative pressure dust collection device array according to the support number set in the activated state, and controlling the gas circuit control units in the support number set in the activated state to be started, so that a negative pressure suction and capture area is formed around the roller of the coal mining machine. According to the invention, accurate capture of the mobile dust production source and on-demand adjustment of the air volume are realized.

This invention relates to the field of mine emergency rescue equipment technology, specifically a multimodal integrated platform for mine emergency detection and response. It addresses the problems of equipment being unable to enter low-lying tunnels after a mine disaster, poor environmental adaptability leading to easy overturning, slow emergency response, and short survival time in refuge areas during power outages. The platform includes a low-profile, flat, fully enclosed chassis, a ground-pneumatic composite drive system, an integrated mission payload, an energy and communication system, and an emergency power supply module. Key technical features include: a low-profile configuration adapting to extremely narrow spaces; four-wheel independent drive and four-corner ducted fans enabling omnidirectional movement, water surface floating, obstacle crossing, and autonomous righting after overturning; integrated panoramic detection and a horizontal submersible pump supporting rapid and relay drainage; and an added emergency power supply interface for temporary power supply to UPS, emergency lighting, and communication equipment in underground refuge areas, extending rescue waiting time. This invention integrates detection, drainage, and emergency power supply, and is suitable for rapid rescue and life support operations in mine collapses and water inrush accidents.

The utility model discloses an anti-common-mode interference isolation type AC high-voltage signal acquisition circuit, and an isolation power supply module is an independent power supply for establishing electrical isolation between a high-voltage side circuit and a low-voltage side circuit. The input attenuation and clamping module carries out attenuation and amplitude clamping on a high-voltage side alternating current signal. And the isolation amplification and signal conversion module isolates and transmits the attenuated signal to a low-voltage side, and outputs a low-voltage analog signal taking the low-voltage side ground as a reference. And the buffering and filtering output module is used for buffering and filtering the signal, enhancing the driving capability, inhibiting noise and outputting a stable acquisition signal. According to the utility model, fault voltage and surge at a high-voltage side are effectively blocked through electrical isolation, personnel and equipment are protected, and the reliability, control precision and robustness of the system in a severe environment are improved in combination with signal conditioning.

The invention relates to the field of wireless control, and discloses a DCS (Distributed Control System) wireless control system based on a time-sensitive network, which is used for realizing deterministic wireless transformation of a power plant control system. The prediction module constructs a fractional order state prediction system to generate a prediction result; the processing module generates optimized state estimation in combination with the multi-source data; the monitoring module analyzes the network flow and the equipment state to generate a report; the scheduling module jointly allocates and issues a resource generation scheme; the feedback module evaluates the health state of the system and dynamically adjusts parameters to form a closed loop. Through multi-stream relevance monitoring, spectral distribution analysis and the like, a comprehensive risk situation map is generated, a hierarchical protection strategy and an emergency response scheme are formulated, resource scheduling is dynamically adjusted, the risk relief effect is monitored in real time, a closed-loop optimization mechanism is formed, the survivability and the service quality of the system under the abnormal working condition are improved, and self-adaptive optimization control is achieved.

The invention discloses a low-orbit satellite orbit maintenance method and system under GNSS denial, and the method comprises the following steps: S1, enabling a satellite to enter a nominal orbit, collecting the atmospheric density data of the satellite in real time through an atmospheric density sensor, and calculating the windward side flight resistance of the satellite and the side flight resistance of the satellite according to aerodynamics; s2, reasonably selecting the thruster ignition time of the satellite according to the service working period of the satellite; s3, the resistance impulse is calculated according to the flight resistance of the satellite, and the working duration and the working thrust required by the thruster are calculated according to the resistance impulse of the satellite; and S4, realizing stable flight of the satellite in a low orbit through closed-loop feedback control of the satellite. The problem that the satellite autonomously completes orbit attenuation compensation without depending on an external navigation means is achieved, and the survivability of the satellite in a low orbit is enhanced.

The application relates to the technical field of unmanned planes, and discloses an unmanned plane adaptive task planning method and system fusing real-time environment perception, which has the technical scheme as follows: inputting unmanned plane cluster physical parameters and task target parameters, completing system hardware calibration, software environment and key module parameter initialization setting; based on a full-closed loop technical architecture of "perception-cognition-modeling-decision-cooperation-feedback", the following sub-steps are executed until the task termination condition is met; through the full-closed loop technical architecture, deep understanding of environment essential laws, dynamic self-evolution of planning schemes and autonomous emergence of cluster global intelligence are realized, and core technical support is provided for efficient, safe and intelligent task execution of unmanned planes in a complex dynamic environment.

This invention provides a main and auxiliary power supply switching system and method with configurable power supply priority. The system includes a main power supply, an auxiliary power supply, an output power supply, and a switching circuit. The main power supply and the auxiliary power supply are two independently powered switching power supply circuits. The MCU main control circuit in the switching circuit controls the main and auxiliary power supply switching control circuit to adjust the main power supply voltage, creating a voltage difference between the output voltages of the main power supply and the auxiliary power supply, thereby achieving the switching of the main and auxiliary power supply priorities. This invention can achieve uninterrupted switching between the main and auxiliary power supplies and allows for flexible setting of the power supply priorities of the main and auxiliary power supplies based on actual application requirements. The circuit structure is simple, low-cost, highly reliable, and practical, effectively ensuring the power supply continuity and operational stability of the energy meter under complex operating conditions.

This invention belongs to the field of digital camouflage technology, specifically relating to a digital camouflage pattern design method based on trend function constraints. It includes: Step 1: Pre-segmenting the background image, then obtaining the step size, turning angle, and step size probability distribution P. l and the probability distribution of the turning angle P θ Step 2: Normalize the frequency and pixels of the background image, obtain the weights corresponding to the edges, construct a Laplacian sparse matrix, generate a probability matrix, match patch labels, calculate the density of texture patches, adaptively generate corresponding convolutional modules, and finally design destructive edges; Step 3: Perform matching and clustering of the main color to output the final camouflage pattern. This invention proposes a digital camouflage pattern design method based on trend function constraints. By defining a trend function to estimate the boundary probability between pixel nodes, digital camouflage patches are outlined, and finally, the background main color is filled to distort the target surface features, thereby realizing the digital camouflage pattern design.

This invention relates to a collaborative configuration method and system for regional integrated energy systems that considers source-load fluctuations and high autonomy, belonging to the field of integrated energy system planning technology. It aims to address the problems of existing technologies failing to effectively handle uncertainties on both the source and load sides, the disconnect between planning and operation phases, and the lack of quantitative consideration of system autonomy capabilities. The technical solution includes constructing a multi-energy coupling architecture, modeling source-load uncertainties and generating multiple typical scenarios, establishing an integrated demand response model for electricity, heat, and cooling, designing a two-level stochastic programming model based on scenario analysis, and employing a hybrid optimization strategy for solution. This invention can significantly improve system robustness and reliability, reduce carbon emissions, enhance energy autonomy, optimize economics, and improve the supply-demand balance of multi-energy loads.

The application provides a simplex family network structure robustness analysis method and relates to the technical field of control and information. According to three simplex network generation algorithms, different initial networks are constructed, and based on a structure robustness index calculation formula, analytical expressions of the structure robustness of the three simplex networks are derived theoretically, and the influence mechanism of network topology and attack mode on the system structure robustness is revealed. The simplex family network is used to describe the structure of an actual complex system, can effectively reflect the high-order interaction relationship of the actual network, and is more suitable for modeling of a real network system; the node degree-based attack mode is used to simulate the deliberate attack suffered by the actual network system, and the influence mechanism of the high-order interaction and the attack mode on the structure robustness is revealed, which can provide scientific theoretical support and technical implementation guidance for reasonably formulating a network attack defense strategy in practical applications.

This invention discloses a tilt-lift short takeoff and landing (STOVL) aircraft and its control method, comprising a fuselage, wing assembly, multi-layered distributed propulsion system, tilt drive assembly, and control unit. The wing is hinged to the fuselage via a pivot in the mid-rear section of the chord, and the tilt drive assembly drives the wing to rotate and adjust the angle of attack. The multi-layered distributed propulsion system includes a first rotor assembly located in the mid-rear section to the wingtip region of the wing and a second rotor assembly located on the lower surface of the wing near the fuselage. During cruise, the first rotor assembly is stopped and feathered, and the propulsion system tilts synchronously with the wing. This invention, through a layered distributed propulsion layout and synchronous wing tilting for synergistic lift enhancement, solves the problems of insufficient control torque at low speeds and high cruise energy consumption, achieving a balance between STOVL performance and cruise economy.