34results about How to "Achieving Adaptive Matching" patented technology

The invention belongs to the technical field of electric power measurement, and discloses a calibration method and system of an intelligent measurement switch and a multi-switch synchronous measurement method, and the method comprises the steps: obtaining voltage and current waveform data of the intelligent measurement switch under a nonlinear load condition, and extracting a frequency spectrum feature matrix of the voltage and current waveform data; constructing an amplitude-phase coupling error model representing a nonlinear incidence relation between amplitude fluctuation and phase deviation, inputting the spectrum characteristic matrix into the amplitude-phase coupling error model, and calculating an amplitude-phase coupling error vector; performing vector decomposition on the amplitude-phase coupling error vector, and separating out an in-phase component error and an orthogonal component error; and generating a calibration compensation coefficient according to the in-phase component error and the orthogonal component error, and performing vector calibration on the intelligent measurement switch, thereby improving the calibration precision of the intelligent measurement switch.

This application discloses a key distribution generation method and system for multi-park integrated authentication, relating to the field of industrial internet key technology. The method includes: collecting cardholder information and sending it to a cloud center; generating a first authentication risk coefficient based on the current operating status and a second authentication risk coefficient based on historical verification records, and evaluating the authentication risk index; if the authentication risk index does not exceed a preset risk threshold, using a basic key distribution generation strategy for identity verification; if the authentication risk index exceeds the preset risk threshold, calculating the risk index overflow value, optimizing the key distribution factor composition and the selection method of the derived algorithm, and generating an adapted key distribution generation strategy for identity verification. This solves the technical problems of existing key distribution generation strategies being fixed and rigid, unable to adaptively adjust to the dynamic risk characteristics of multi-park authentication scenarios, and lacking a risk quantification assessment mechanism, leading to a lag between security strategies and risk situations.

This invention discloses a method, system, device, medium, and program product for collaborative scheduling of a virtual power plant. The method includes: determining the Zonotope uncertainty set for each distributed resource; aggregating the Zonotope uncertainty sets to obtain the feasible region of the virtual power plant, and decoupling the feasible region into local Zonotope constraint sets for each agent; constructing an interaction graph with each agent as a node, using a graph attention network for collaborative decision-making and outputting the original actions, and incorporating the intersection volume of the local Zonotope constraint sets of adjacent agents when calculating attention weights; configuring a differentiable Zonotope projection layer, projecting the original actions onto the local Zonotope constraint sets by solving an optimization problem to generate safe actions, and backpropagating the gradient of the optimization problem during graph attention network training; and having each agent execute the safe actions. This invention improves the collaborative efficiency and robustness to unknown fluctuations of a multi-agent system while strictly guaranteeing the physical operating boundaries.

The application provides a kind of photovoltaic module dirty grading early warning method based on multi-parameter fusion, belongs to new energy centralized photovoltaic power station technical field, can significantly alleviate or solve the problems of low accuracy, poor real-time and weak adaptability of existing photovoltaic module dirty early warning.The method comprises: collecting environmental parameters, historical dirty data and component power generation data, constructing regional dirty feature database;Collect and preprocess component surface temperature distribution data, environmental parameter data and surface image data;Identify the dirty area and quantify the dirty degree;Combine real-time environmental parameters to dynamically adjust the early warning threshold;Trigger the grading early warning and output cleaning suggestions or cleaning tasks;Verify the early warning effect after cleaning and optimize the associated model and dirty identification algorithm.The method can improve the early warning accuracy and operation efficiency, reduce the power generation loss.

This invention discloses a dynamic adaptive ecological slope protection system and method suitable for reservoir bank drawdown zone slopes, belonging to the field of water conservancy engineering and ecological restoration. The system includes an anchoring system, a lifting vegetation trough, an integrated water collection system, and a linked water supply device. The anchoring system uses self-weight triggered self-locking anchors to achieve locking upon installation. The vegetation trough can freely rise and fall along the anchors with the water level, and contains a soil layer and a water-storing sponge layer. The water collection system automatically controls water flow through a float valve, and the linked water supply device relies on elastic expansion and capillary action to achieve water storage during submersion and automatic water supply during emergence. Construction adopts a bottom-up modular installation, using the floating plate of the vegetation trough as a working platform, eliminating the need for high-altitude facilities. This invention can adapt to the off-season hydrological rhythm of the drawdown zone, improving slope stability and vegetation survival rate. It requires no external energy or human intervention and has advantages such as convenient construction, low operation and maintenance costs, and eco-friendliness, making it suitable for ecological protection of reservoir and lake drawdown zone slopes.

This application discloses a method for detecting trace oxygen elements based on an electron probe microanalyzer, relating to the field of analytical detection technology. The method includes: placing the sample to be tested in the electron probe microanalyzer to obtain the signal intensity of oxygen and the signal intensity of major elements in the sample; obtaining the theoretical standard content of oxygen in a standard sample calculated by the built-in calculator of the electron probe microanalyzer; determining a total correction factor based on the signal intensity of oxygen and the signal intensity of major elements; and determining the oxygen content in the sample based on the total correction factor, the theoretical standard content of oxygen in the standard sample calculated by the built-in calculator, and the signal intensity of oxygen. This application solves the technical problem of insufficient accuracy in detecting trace oxygen content in samples using electron probe microanalyzers.

The application discloses an aero-engine test stand injection system and a regulating method, relates to the technical field of aero-engine test stands, and solves the problem that the test stand injection system is difficult to adapt to the change of exhaust characteristics and test working conditions of different types of engines. The first-stage injection pipe, the second-stage injection pipe and the third-stage injection pipe are sequentially and slidably arranged on the slide rail, and the distance between the first-stage injection pipe, the second-stage injection pipe and the third-stage injection pipe is adjusted by the distance adjusting device; the inlet end of the first-stage injection pipe is detachably provided with a replaceable flow guide cover, the replaceable flow guide cover is provided with a flow guide block, and the flow guide block is provided with a nozzle; and the inlet end of the second-stage injection pipe and the third-stage injection pipe is provided with a flow guide cover. The application is designed in cooperation with the modular replaceable flow guide cover and the multi-stage dynamic adjustable injection pipe, and realizes the self-adaptive matching of the injection system to different engine exhaust flow, temperature and pressure.

The invention discloses an anti-shake control method and device, and belongs to the technical field of data processing. The method comprises the following steps: acquiring pose data of the electronic equipment in a first time window, the pose data comprising at least one of acceleration data, angular velocity data and an anti-shake feedback angle; the anti-shake feedback angle is obtained by performing optical image anti-shake processing according to the acceleration data and the angular velocity data; determining a target anti-shake mode according to the pose data; wherein the target anti-shake mode is a first anti-shake mode or a second anti-shake mode, and the maximum anti-shake angle corresponding to the first anti-shake mode is smaller than the maximum anti-shake angle corresponding to the second anti-shake mode; and controlling an optical anti-shake motor of the electronic equipment to operate according to the target anti-shake mode.

The application provides a temperature control method and system for an automatic production line of baked paint doors. The method includes generating a three-dimensional thermal field model containing position coordinates, temperature difference values and area ratios by dynamically scanning the temperature distribution data of the door body surface during movement; then constructing a three-layer air duct system with independent adjustment of the top, middle and bottom parts, dynamically adjusting the rotation angle and air flow intensity of the corresponding level deflector to form an air flow coverage mode matching the door body curved surface; when the area ratio of the abnormal area exceeds the standard, adjusting the air door opening, synchronously calculating the compensation air volume increment coefficient to generate a level compensation instruction; finally, adjusting the heat dissipation intensity through the increment coefficient, forming a directional heat dissipation loop in cooperation with the deflector angle correction and static pressure tank vortex suppression device. The technical scheme provided by the application realizes dynamic perception of temperature abnormalities, accurate compensation of multi-level air flow and closed-loop control of over-temperature protection during the curing process of special-shaped door plates, and improves the curing uniformity and quality stability of the paint surface.

The utility model discloses a self-adaptive adjustment vegetable cutter which solves the problems that a traditional device is uneven in cutting, cumbersome in cutter replacement and potential safety hazards exist. According to the technical scheme, an adjustable-speed motor drives an anti-skid conveying belt, a transparent vegetable cutting frame, a built-in sliding rail knife rest, a magnetic attraction type spaced tooth blade knife body and a cam connecting rod driving mechanism are arranged in the middle, and a double-distance sensor and an induction column are staggered to detect the knife position; a hydraulic buffering elastic pressing roller and a guide wheel are arranged on the feeding side, and the pressure and the transverse position are adjusted by a cylinder; the controller synchronously regulates and controls the cutting frequency, the stroke and the conveying speed according to data of the sensor, and self-adaptive cutting of food materials is achieved; the safety module is in linkage with the emergency stop switch through the infrared sensor, and emergency stop is conducted within 0.1 second. According to the scheme, cutting uniformity is improved, rapid cutter changing is supported, food material damage is reduced, operation safety is guaranteed, and the device is suitable for food industrial processing.

The invention relates to the technical field of intelligent household electrical appliance and flexible electric heating safety control, in particular to an electric blanket power control system and method, and the method comprises the steps: collecting a real-time voltage sampling sequence and a real-time loop current sampling sequence of an electric heating load, and calculating an actual measurement impedance sequence; constructing a virtual fault state, and generating a theoretical folding fault trajectory; calculating a difference value between the theoretical folding fault trajectory and the ideal impedance trajectory, and marking the difference value as a theoretical residual sequence; calculating the trend similarity between the actually measured residual error sequence and the theoretical residual error sequence; if the trend similarity is greater than a preset judgment threshold, judging that the current state is a folding overheating fault, and executing a latch-up protection strategy; otherwise, the current state is judged to be normal heat storage fluctuation, and a constant temperature adjusting strategy is executed; according to the invention, the problem of pain points of easy false alarm or protection delay in the prior art is solved, and the intelligent identification capability of the system is significantly improved.

This invention discloses an underwater wireless optical communication alignment method and system based on spatial coherence adaptive differential observation. The method includes: constructing a photodetector array in the receiver, constructing a normalized differential observation structure, and through differential observation and dynamic spacing adjustment scheme, a laser system transceiver alignment method that can effectively suppress turbulent multiplicative scintillation and adapt to different water dynamic conditions can be developed, significantly improving the alignment accuracy and robustness between the receiver and the transmitter in complex turbulent environments.

This invention relates to the field of slow-release fertilizer technology, specifically to straw-based slow-release organic fertilizer and its preparation method. The slow-release organic fertilizer includes an organic fertilizer core loaded with organic matter and nitrogen, phosphorus, and potassium nutrients using straw biochar as a carrier, and a slow-release coating covering the core. The slow-release coating is a cross-linked network formed by phytic acid cross-linking a hydroxyl polysaccharide substrate through phosphodiester bonds. Each phytic acid molecule forms an average of 1.5-3 phosphodiester bonds, with the remaining phosphate groups remaining as free phosphate groups and coordinating with iron and / or zinc. The phosphodiester bonds constitute the hydrolytic substrate of rhizosphere phosphatase. When crops are phosphorus deficient, the phosphatase secreted hydrolyzes the cross-linked bonds, causing the coating to uncross-link, thereby increasing the nutrient release rate with increasing phosphatase activity and simultaneously releasing trace elements such as iron and zinc. This allows nutrient release to adaptively match the crop's phosphorus deficiency requirements. The nitrogen release rate in still water over 28 days meets the national standard for slow-release fertilizers, and significantly improves the phosphorus accumulation and nitrogen fertilizer utilization rate in phosphorus-deficient soils.

The utility model discloses a daisy chain type CAN bus cascade terminal resistance adaptive matching system, include: host computer and adopt daisy chain type type in proper order series connection several same or different module, be equipped with terminal resistance matching circuit in each module, the host computer is connected with each module communication through CAN communication bus, terminal resistance matching circuit includes CAN transceiver unit, terminal resistance switching unit, drive unit and terminal resistance unit, CAN transceiver unit is connected with host computer and terminal resistance switching unit electric property respectively, terminal resistance switching unit is connected with drive unit and terminal resistance unit electric property respectively, the utility model solves the limitation of existing daisy chain type CAN bus cascade, can not realize the technical problem of equipment arbitrary position deployment.

The utility model relates to the technical field of auxiliary devices, and discloses a hypertension measurement auxiliary device which comprises a supporting bottom plate, a sliding groove formed in the upper surface of the supporting bottom plate, a rectangular mounting groove formed in the front surface of the supporting bottom plate, and an auxiliary assembly arranged on the supporting bottom plate and comprising a forearm rear end supporting block. According to the device, the length of an electric telescopic rod is adjusted, the angle of a gear set is adjusted, a movable plate is matched with a rectangular mounting groove to adjust the front-back position of the large arm supporting block, self-adaptive matching of different arm lengths and angles is achieved, the arc-shaped supporting design fits the human engineering, and the supporting effect is good. Muscle tension caused by arm suspension is reduced, comfort and accuracy during measurement are improved, blood pressure measurement errors caused by improper arm positions are effectively avoided, stable and reliable auxiliary support is provided for hypertension measurement, and the device is particularly suitable for medical places and family health monitoring scenes.

The invention discloses a multi-unmanned aerial vehicle collaborative search scheduling method based on deep reinforcement learning. The method is oriented to a complex environment with dynamic tasks and space risk constraints. According to the method, a hierarchical collaborative decision framework is constructed, system-level task scheduling and individual-level continuous control are decoupled and modeled, a graph structure and an attention mechanism are introduced into a scheduling layer, and global optimization distribution of multiple unmanned aerial vehicles and multiple tasks is realized; in a control layer, a deep reinforcement learning strategy is adopted to generate a continuous control action based on local observation, and the coordination of scheduling and execution is improved through joint training. The method can significantly improve the task completion rate and the emergency response efficiency, optimizes the energy utilization, reduces the system oscillation, and is suitable for disaster monitoring, emergency rescue and other multi-unmanned aerial vehicle cooperative operation scenes.

The invention relates to the technical field of heterogeneous task scheduling, in particular to an edge computing node-oriented heterogeneous task adaptive scheduling system, which comprises the following modules: a task monitoring module, which is used for collecting the resource state and task execution information of each edge node in real time and generating corresponding task execution state data; and the task graph construction module is used for constructing a task execution graph according to the task execution state data, nodes represent calculation units, edges represent task dependency relationships, the task execution graph is dynamically adjusted according to the real-time state of each node, and the execution sequence and the dependency relationships of the tasks are reconstructed. In the invention, the task graph construction module and the mode adjustment module are used for realizing the self-adaptive reconstruction of the task execution mode, the task can be split into parallel subtasks or staged tasks under the condition of resource limitation or node load fluctuation, and an approximate model is established for an approximate calculation task for processing; therefore, the key task can be smoothly executed in a complex resource environment.

The invention relates to the technical field of X-ray nondestructive testing, in particular to an X-ray image detection method based on multi-scale feature adaptive fusion, which comprises the following steps: step 1, image acquisition and division; step 2, calculating image processing complexity; 3, constructing a strategy space; step 4, obtaining an optimal feature extraction strategy: performing multi-round path search in the strategy space through a swarm intelligence algorithm, obtaining the optimal feature extraction strategy corresponding to each image area, and performing multi-scale feature extraction on each image area through the optimal feature extraction strategy, thereby obtaining the multi-scale feature of each image area; 5, performing multi-scale feature fusion; and step 6, generating a detection result. The method solves the problem of poor accuracy of a detection result of a traditional X-ray nondestructive detection method, and is suitable for internal defect identification and performance evaluation of aerospace equipment, rail transit equipment, energy equipment, electronic elements and porous medium materials.

The invention discloses a heat treatment device for alloy steel wires for automobile fasteners, and relates to the technical field of fastener steel wire heat treatment equipment, the heat treatment device comprises a furnace body, two ends of the furnace body are fixedly connected with end plates, and the centers of the end plates are provided with inlet holes for the alloy steel wires to pass through. The volume-variable heat treatment cavity is defined by the arc-shaped vertical plates capable of moving coordinately in the radial direction, self-adaptive matching of wires with different diameters is achieved, the heating space is optimized, the heat energy utilization rate is remarkably increased, the contact assembly and the linkage adjusting mechanism ensure that the cavity keeps good sealing all the time in the dynamic adjusting process, and the service life of the cavity is prolonged. Heat leakage is effectively reduced, the stable process environment is maintained, the damping part integrated at the outlet of the furnace body efficiently absorbs vibration energy in the wire moving process through the combined action of flexible supporting and pendulum damping, and the surface quality of the wire and the operation stability of a mechanism in the furnace are protected.

This invention discloses a die-cutting machine with automatic waste peeling and collection functions, relating to the field of double-sided tape die-cutting waste removal technology. It includes: a die-cutting device; a connecting slide rail and a fixed panel fixed to the rear side; a feeding roller, movably mounted on the connecting slide rail and located on the input side of the die-cutting device; an output guide surface fixed to the top of the output end of the die-cutting device; a waste roller, movably mounted on the connecting slide rail and located on the output side of the die-cutting device; a guide collection device, located on the output side of the die-cutting device and connected to the fixed panel on the rear side; a peeling device, located on the side of the guide collection device away from the die-cutting device; and a waste collection trough fixed diagonally below the peeling device. This invention can adapt to different specifications of double-sided tape, achieving fully automated processing of waste from automatic lifting and precise peeling to stable conveying and thorough collection, significantly improving the efficiency, yield, and continuity of die-cutting production.

The application discloses a dynamic redundancy robust digital blind watermarking method and system, and relates to the technical field of image data processing. The method embeds watermark information into pixel data (robust channel) and metadata (fast channel) of a carrier image simultaneously through a double embedding strategy. When the watermark is extracted from the carrier image subjected to geometric attacks, the system firstly attempts to extract from the metadata; if the fast extraction fails, the system automatically switches to the pixel domain for robust extraction. The method comprises the following steps: optimizing and packaging the data to be embedded; embedding the packaged data stream into the pixel and writing the compressed watermark data into the metadata; and adopting the aforementioned double-channel extraction strategy for extraction. The design effectively avoids the defects of simply relying on spatial synchronization, and significantly improves the extraction performance and reliability of the watermark system under geometric attacks.

The application discloses a file digitization circulation privacy protection method and system based on a zero trust architecture, relates to the technical field of data security, and comprises the following steps: based on a semantic context label set and a dynamic authorization intention, combining operation granularity in a homomorphic encryption domain, establishing a mapping table of semantics and encryption fragments, and generating a homomorphic operation plan and a re-encryptable credential set; according to the homomorphic operation plan and the re-encryptable credential set, performing logical fragmentation and homomorphic encryption on a file to be circulated to form a set of secret state containers, obtaining an access commitment instance, and constructing an initial segment of an access commitment chain; performing a homomorphic cooperative operation in the set of secret state containers and real-time checking the initial segment of the access commitment chain, performing node revocation and authorization reversal according to a commitment chain state, and generating an updated access commitment chain and an instant trust reconstruction record. The application improves the security, controllability and traceability of the file cooperation process.

The invention discloses a rapid ramp parking method suitable for an electric fork-lift truck, which comprises the following steps: firstly, carrying out quality evaluation on a motor rotating speed signal acquired by an encoder, dynamically selecting a filtering strategy, outputting a preprocessed actual speed, extracting time domain, frequency domain and model correlation characteristics based on the speed, a motor torque direction and a target speed, and carrying out rapid ramp parking on the electric fork-lift truck. Calculating confidence coefficients of different road surface working conditions through a fuzzy inference system, further calculating a first-stage given speed according to a target speed and a given speed of a previous period, calculating an auxiliary function given speed by combining consistency judgment of a torque direction and a speed direction and the confidence coefficients of the working conditions, and generating a final given speed by utilizing a self-adaptive gain coefficient; and finally, the final given speed and the actual speed are subjected to closed-loop adjustment to drive a motor to execute parking, and meanwhile, graded safety intervention is implemented based on the working condition confidence coefficient and the real-time vehicle speed, so that deceleration delay in the ramp parking process is effectively eliminated, and the rapidity and stability of control are improved.

The application discloses an open-pit mine structure deterioration slope pre-stabilization structure which comprises a plurality of anchor holes dug on a slope body, a pre-tightening adjusting mechanism arranged in the anchor holes, a cover bin connected to the top of the pre-tightening adjusting mechanism, a wire roller in the cover bin connected to a protective net through a fixing rod, and the wire roller further linked to an accumulation adjusting assembly; the pre-tightening adjusting mechanism comprises an anchor bin, a linkage rotating shaft and a pre-tightening anchor block driven by a bidirectional screw rod; and the accumulation adjusting assembly comprises a fixed bottom bin with a compression spring and an accumulation push plate connected by a traction rope. The structure dynamically adjusts the anchoring force through the pre-tightening adjusting mechanism, cooperates with the protective net and the accumulation adjusting assembly to form multi-stage buffering, realizes self-adaptive stress regulation of the slope body deformation, and simultaneously has an overload protection mechanism and a modular installation characteristic. The problems of insufficient dynamic adaptability, single buffering and complex maintenance of traditional anchoring are solved, and the stability and safety of slope protection are effectively improved.

The invention relates to the technical field of machine tool lead screw pre-tensioning, in particular to a numerical control machine tool pre-tensioning system based on multi-modal data, which comprises a program pre-reading unit, a pre-tensioning data processing unit, a state detection unit, a correction data processing unit, a control unit and a pre-tensioning execution unit, the average motor power, the action type and the total feed amount are obtained through analysis; the pre-tensioning data processing unit calculates a predicted temperature rise and a predicted stress, determines a basic pre-tensioning adjustment amount, and corrects the basic pre-tensioning adjustment amount through a correction coefficient to obtain an actual pre-tensioning adjustment amount; the state detection unit detects the actual temperature rise of the lead screw in a detection time window; the correction data processing unit calculates a feedback correction factor according to the ratio of the actual temperature rise to the predicted temperature rise, and determines a correction coefficient in combination with the machine tool operation time; and the pre-tensioning end realizes elastic pre-tensioning through a disc spring mechanism. According to the method, dynamic optimization of the pretension force is realized through multi-modal data prediction.

The application relates to the field of finished infusion detection, and discloses a quality online detection method and system for finished infusion in a static preparation center, which comprises the following steps: collecting a continuous transmission image sequence, establishing a space affine mapping relationship by using a characteristic anchor point, offsetting a displacement vector deviation through coordinate system alignment, and determining a dynamic displacement trajectory of a target inside a fluid; laterally injecting a linear polarization detection light beam into a detection channel, synchronously collecting scattering light intensity signals by using orthogonally arranged detection channels to calculate a depolarization rate; extracting a background gray value to correct a judgment threshold value, and identifying a solid foreign matter in combination with a motion trajectory and the corrected judgment threshold value; the application captures tiny particles by virtue of anisotropic characteristics of phase interfaces, strips bubbles from deformation interference, realizes self-adaptive matching of detection parameters to optical properties of a liquid medicine, and guarantees high-throughput operation in the field of medical quality control.

The invention discloses a photovoltaic power generation station construction progress early warning method and system based on a high-resolution remote sensing image, and relates to the technical field of remote sensing and geographic information. A high-resolution satellite and an unmanned aerial vehicle cooperatively collect images, and a multi-task convolutional neural network synchronously executes semantic segmentation and target detection to extract a construction area coverage rate and equipment installation state features; fusing macroscopic attributes and spatial features, screening high-similarity historical items by using weighted cosine similarity to generate weighted historical progress data, dynamically adjusting data weights based on an exponential decay function, inputting the data into a double-LSTM network to construct a time sequence prediction model, and performing iterative updating; and generating multi-dimensional progress information and resource allocation suggestions, comparing real-time and predicted progress detection deviations, and associating historical data to trace reasons to generate early warning. According to the method, the full-cycle progress is accurately predicted, the small ground feature recognition precision is improved, the resource allocation response is accelerated, the construction period deviation is reduced by 15%-20%, and decision support is provided for early intervention.

This invention relates to the field of medical upper limb assistive exoskeletons, and discloses a single-arm active assistive exoskeleton system for cardiopulmonary resuscitation (CPR), comprising: a wearable exoskeleton structure including a back exoskeleton and an upper limb exoskeleton; the back exoskeleton is connected to the upper limb exoskeleton, the upper limb exoskeleton including a shoulder exoskeleton structure, an arm exoskeleton structure, a wrist exoskeleton structure, and a palm exoskeleton structure connected in sequence; a motor drive mechanism including joint motors disposed at the shoulder and elbow for providing active assistance for the upper limb compression action; a sensing unit disposed at the joints of the back exoskeleton, the upper limb exoskeleton, and the palm exoskeleton structure for acquiring real-time motion state information of the rescuer's upper limb and compression state information of the palm; and a control module connected to the motor drive mechanism and the sensing unit for adjusting the motor output in real-time according to the motion state information and compression state information to assist the rescuer in maintaining standard CPR compression operations.

The application discloses a multi-unmanned aerial vehicle (UAV) perception control method based on radio signal conflict resolution, which comprises the following steps: acquiring the electromagnetic spectrum characteristics of a power transmission line corridor through UAV formation cooperative perception to construct a dynamic spectrum map; planning the soft boundary flight corridor of each UAV according to the dynamic spectrum map and safety interval constraints, and setting a smooth potential function gradient in the boundary; encapsulating the atomic flight action sequence as a functional module instruction package and assigning an execution priority; calculating the potential field force according to the real-time position of the UAV and the position of the obstacle, determining the availability of the instruction package according to the consistency of the potential field direction and the main motion direction of the instruction package, and assigning a communication frequency point according to the communication demand of the available instruction package; generating a control instruction according to the available instruction package and preferentially outputting an emergency safety instruction; and the application integrates spectrum avoidance, space constraints and instruction scheduling into a unified framework, resolves the radio signal conflict in multi-UAV cooperation from the root, and ensures the reliable transmission and safe execution of the control instruction.

The application discloses a mine-used monorail crane electric drive-spring series brake system and method, and relates to the technical field of industrial control. The system comprises the following steps: collecting the real-time vehicle speed, track slope and vehicle load of the mine-used monorail crane as real-time running state parameters, inputting the parameters into a target brake force calculation unit built in a controller to obtain the target brake force required at present; generating a pulse width modulation driving signal to drive a servo motor to convert the rotary motion into linear motion via a ball screw transmission mechanism, push the piston rod to extend and compress the butterfly spring connected in series, make the butterfly spring generate elastic force and act on the brake shoe, thereby establishing the brake clamping force; during the braking process, the position and pressure collaborative closed-loop control strategy is executed based on the clamping force data, piston rod position data and motor rotation angle data collected by the controller in real time. The application effectively improves the brake response speed and safety of the mine-used monorail crane under variable load conditions.