9 results about "Hill climbing" patented technology

The application discloses a kind of model construction method and device of wind power generation system, the method wind power generation system, at least including wind turbine and permanent magnet synchronous generator, the method includes: the mechanical characteristics of wind turbine is modeled according to momentum theory data to obtain wind turbine model;Maximum power output point of wind turbine is tracked by analyzing wind turbine model and using hill climbing search method;Ideal conditions met by permanent magnet synchronous generator are obtained;Under ideal conditions, three-phase voltage equation under natural coordinate system, flux linkage equation under natural coordinate system, electromagnetic torque equation of motor, mechanical motion equation of permanent magnet synchronous generator are established to obtain permanent magnet synchronous motor model.The application can reduce the loss generated by mechanical rotation in power generation process, so that the power generation efficiency of system is higher.

The application provides a communication interference strategy generation method based on reinforcement learning, comprising the following steps: step one, constructing a system model of a communication party and a communication interference party; step two, based on the system model of the communication party and the communication interference party constructed in step one, learning an anti-interference scheme of the communication party by using a win-or-learn policy hill climbing algorithm, and designing a corresponding interference decision model; step three, using the interference decision model obtained in step two, learning an anti-interference strategy of a communication target and implementing interference according to a decision process of 'observation-adjustment-decision-action'. The application comprehensively considers interference basic principles and behavior changes of the communication target, combines a jam-to-noise ratio and anti-interference behaviors such as frequency change and transmission power increase of the communication target after being interfered, and uses the two as measurement indexes of interference effects, so that the purpose of real-time and rapid interference is achieved.

This invention discloses an automatic image focusing method for an imaging device, comprising the following steps: obtaining several target images; randomly generating a parameter set characterizing the lens physical parameters of the imaging device's lens; based on the parameter set as the initial position of the lens, using a neighborhood generation rule to perform operations on a preset step size at the initial position to generate a neighborhood, each neighborhood corresponding to a lens position; evaluating the focusing effect by comparing the focusing effect evaluation values ​​corresponding to different lens positions; obtaining a locally optimal lens position based on a hill-climbing algorithm; and processing the locally optimal solution based on a simulated annealing algorithm to obtain the optimal solution. This invention can effectively find the globally optimal focusing parameters, ensuring the clearest image is captured under this focusing condition, and combines the hill-climbing algorithm and the simulated annealing algorithm to achieve automatic focusing.

This invention discloses an intelligent fire-fighting patrol vehicle that integrates hazard inspection, fire identification, path planning, and initial fire suppression. The system combines lidar, visual recognition, infrared, and ultrasonic sensors with a YOLO visual model, an improved A* algorithm, and PID control to achieve environmental mapping, fire source location, autonomous navigation, and precise fire suppression. The vehicle uses a Mecanum wheel chassis, enabling omnidirectional movement, obstacle crossing, and hill climbing, making it suitable for complex environments such as factories, shopping malls, hospitals, and schools. The fire suppression module dynamically adjusts the extinguishing agent and spray parameters according to the fire situation, improving fire suppression efficiency and reducing water consumption. This invention effectively enhances the intelligence level of fire inspection, reduces manual intervention, and strengthens emergency response capabilities and safety.

A method for predicting the health status of spacecraft electromechanical components considering the evolution of performance characteristics is proposed. The steps are as follows: First, collect full lifecycle data of spacecraft electromechanical components and preprocess their multidimensional telemetry parameters. Then, extract explicit and implicit features from the multidimensional telemetry parameters to form a high-dimensional feature set, and perform dimensionality reduction and fusion on the high-dimensional feature set. Next, filter and model the fused curves, and divide the performance degradation stages based on a hill-climbing algorithm using kernel density estimation. Finally, construct a bidirectional LSTM prediction network in stages and predict the health status for different evolution stages. This method effectively integrates massive amounts of telemetry data through feature extraction and feature fusion. Simultaneously, by utilizing a hill-climbing algorithm based on kernel density estimation and a bidirectional LSTM prediction network to consider the evolution mechanism of different degradation stages when predicting the health status, it effectively improves the prediction accuracy of the health status of key spacecraft components.

This invention relates to the field of power resource dispatching technology, specifically to a method and device for dynamic aggregation of virtual power plants based on two-layer decision-making and satisfaction. The method includes: using the virtual power plant as the upper-layer decision-maker in a two-layer decision-making architecture, and the corresponding entities of the participants as lower-layer decision-makers, to determine the aggregation scheme; wherein, the upper-layer decision-maker uses a two-layer late-acceptance hill-climbing algorithm combined with a proxy objective function to iteratively optimize internal transaction price information, and distributes it to the lower-layer decision-makers through a blockchain network; the lower-layer decision-makers listen to and obtain information through smart contracts, and when trigger conditions are met, call their local participant model to calculate the optimal operating scheme and calculate satisfaction information based on the Frynell satisfaction model, and upload it to the blockchain network for the upper-layer decision-maker to adjust the internal transaction price information of the dispatching cycle. This effectively improves the flexibility of the virtual power plant in dispatching power resources, thereby improving dispatching efficiency.

The application discloses a kind of MTF template matching measurement methods suitable for multiple focusing lenses, specifically: industrial camera moves to focal plane, and shoots a focal plane image for subsequent template matching scale adjustment;Find the best zoom ratio using hill climbing algorithm, adjust the template size according to the ratio;After adjusting the template size, match the measurement area according to the template;Semantic segmentation detects stripe, after determining the horizontal and vertical stripe area, calculate the contrast of each area;Sort the contrast data according to the area, thereby corresponding to different stripe area number, mark the outer ring and inner ring measurement results and stripe number on the image, and finally draw two MTF curves of horizontal stripe and vertical stripe according to the measurement data.The application can improve the efficiency and accuracy of MTF measurement.

The application provides a voltage control method of a four-quadrant converter of a voltage source type locomotive vehicle. The method comprises the following steps: collecting the voltage and the line total current effective value of a connection point of the locomotive vehicle and a traction network through a sensor in real time, and calculating the instantaneous reactive power and the active power P of the network side according to the collected data. An optimal reactive power given value which makes the line total current effective value minimum is calculated through a hill climbing search algorithm in the voltage source type control mode. The amplitude instruction of the converter output voltage in the four-quadrant converter of the locomotive vehicle is obtained, the DC bus voltage measurement value is collected through the sensor, and the instruction phase of the converter output voltage is obtained through the adjustment of the active power balance of the DC side. The amplitude instruction and the instruction phase are subjected to synthetic processing to obtain a voltage control vector, the voltage control vector is subjected to sinusoidal pulse width modulation processing to obtain a pulse signal for controlling the on-off of the switching tube of the four-quadrant converter.

This application provides a pre-adjustment method for the battery of an all-terrain robot. The method includes: acquiring road images, slope, acceleration, and velocity in the robot's forward direction; determining the target peak power and duration of work done on the abnormal power consumption road scene based on the slope, acceleration, and velocity; if a pre-adjustment strategy is triggered, determining the energy transferred to the supercapacitor for pre-charging based on the target peak power, duration, the proportion of energy consumed by the supercapacitor, energy transfer efficiency, and a dynamic safety factor; the dynamic safety factor is the ratio between the actual energy consumed during hill climbing and obstacle crossing in historical data and the transferred energy; and controlling the battery to charge the supercapacitor. This method proactively transfers a portion of the battery's energy to the supercapacitor in advance to cope with upcoming high-power consumption scenarios, allowing the battery to only handle smooth base load power output while the supercapacitor handles instantaneous peak power demands, thus reducing battery heat loss.