17 results about "Particle position" patented technology

The application discloses a kind of multi-dimensional evaluation and anchor point constraint scoring method of particle shape, belong to the technical field of particle shape analysis.The method includes: obtaining the three-dimensional grid model of particle sample and pre-processing;Extract the multi-dimensional shape features including corner angle, sphericity, size, symmetry, texture and taper;Filter key features by multi-model voting;Group key features according to preset dimension and carry out adaptive dimension reduction, construct multi-dimensional evaluation space;Determine anchor point sample set for each evaluation axis, construct two-classification sub-problems for the evaluation axis containing intermediate anchor point, determine initial scoring parameter using seven-model performance weighted integration;Based on the score relationship of low-end, intermediate and high-end anchor points, the initial parameter is corrected by ridge regression, and the final scoring parameter is obtained by sequential monotonicity check;Based on the final scoring parameter, the multi-dimensional score of the particle to be scored is carried out and the result is output.The application realizes the multi-dimensional automatic evaluation of particle shape, has the advantages of feature selection objectivity, weight distribution accuracy, intermediate morphological particle position rationality, dimension reduction method adaptivity, visualization richness and the like.

The application discloses a mobile device path planning method and an electronic device. The mobile device path planning method comprises the following steps: constructing a fitness function of mobile device path planning; initializing a particle swarm population, and a particle position is used for encoding a candidate path composed of multiple intermediate path point coordinates; performing multiple iterations of optimization, in each iteration, after each velocity and position update is completed, performing a dimension-by-dimension optimization operation on the entire population, the dimension-by-dimension optimization operation searches the path point coordinates of the candidate path encoded by all particle positions in the population dimension by dimension, and optimizes the corresponding path point coordinates in the global optimal position; after the iterations are completed, determining an optimal path based on the path encoded by the global optimal position. The application overcomes the defect that the effective local feature is lost due to simple elimination of low fitness particles in the existing PSO algorithm; meanwhile, repeated calculation of full path evaluation is avoided, and the real-time performance and high efficiency of algorithm operation are ensured while the optimization precision is effectively improved.

This invention provides a vision-based method and system for detecting and compensating wafer particle position offset. It generates an initial imaging data set containing the surface microstructure by performing dual-view synchronous imaging on the wafer surface. Parallax matching and feature segmentation are then performed on the initial imaging data set to generate three-dimensional height information and an initial set of particle coordinates on the wafer surface. Based on the initial particle coordinate set and the charge distribution characteristics of the wafer surface, particle displacement is predicted and corrected, generating displacement compensation feature quantities for each particle. The fine-tuning optical system of the wafer inspection machine is invoked to perform optical correction on the displacement compensation feature quantities, generating corrected real-time imaging data. Coordinate registration is performed on the real-time imaging data to generate the final set of wafer particle position coordinates. This invention can improve the spatial dimensional integrity of wafer particle position detection, the comprehensiveness of multi-factor displacement prediction, and the actual physical accuracy of the detection results.

This application discloses a multi-strategy adaptive particle swarm optimization method and apparatus for dynamic parking space scheduling, belonging to the field of parking space scheduling technology. The method includes: cleaning flight and parking space data to construct a flight-parking space compatibility matrix; mapping particle positions using continuous real-number encoding and initializing the population through an OBL (Optimal Boundary Learning) strategy; adaptively adjusting the inertia weight AIW based on population diversity and combining it with a random migration RI (Increase in Randomization) strategy to avoid local optima; applying boundary constraints and conflict resolution to particle positions, and using a DA (Data Determination) mechanism based on congestion distance to preserve non-dominated solutions; and outputting the optimal parking space scheduling scheme through multi-attribute decision-making after the iteration meets the termination condition. This application improves the algorithm's convergence speed and global optimization capability through multi-strategy collaborative optimization, reduces the proportion of infeasible solutions, increases parking space utilization and flight docking rate, and balances passenger travel experience with airport operational efficiency.

The application discloses a kind of PFC system real-time energy efficiency optimization method and system based on dynamic weight particle swarm algorithm, comprising: first, the multidimensional parameter search space of PFC system is constructed, and system operating state parameter is collected in real time. Then, initialize particle swarm population, and iteration optimization is carried out using dynamic weight particle swarm algorithm. Algorithm is updated particle position and speed by dynamically adjusting inertia weight, combining particle own historical optimum and population global optimum information, and finally finds global optimum energy efficiency parameter combination. Finally, according to the combination generation control instruction and issue to each execution unit of PFC system, realize the real-time adjustment of parameter and the closed-loop optimization of system energy efficiency. The application effectively improves the optimization speed and global optimization ability, and guarantees the efficient and stable operation of PFC system.

The application relates to a one-rocket multi-satellite layout method and system based on separation safety design, which comprises the following steps: obtaining an in-orbit attitude deviation at a satellite-rocket separation time, setting an initial separation state; setting mass center coordinates of M groups of satellites relative to a rocket body and separation energy of each satellite in the initial separation state, and completing population initialization; establishing a fitness function by taking the minimum far-field distance of two satellites within half a period to five periods after separation and the total attitude angular velocity of each satellite after separation as optimization indexes; calculating a fitness function value of each particle; updating individual extreme values and global extreme values; updating particle speed and particle position; and outputting one-rocket multi-satellite layout optimization results when a preset ending condition is met. The application solves the layout problem caused by coupling of structure layout and far-field separation with the increase of the number of separation bodies in one-rocket multi-satellite tasks, and provides guidance for structure layout by considering far-field safety in the initial structure layout, so that the structure overall design efficiency is improved.

The application discloses a kind of foundation pit support axial force determination method, device, equipment and storage medium.The method comprises: determining the adjustable support quantity of support axial force in foundation pit and the objective function of the foundation pit, wherein the objective function is used to determine the lateral horizontal displacement of the enclosure structure of the foundation pit;According to the adjustable support quantity, the position of feasible particle is determined, and the position of the feasible particle is iterated using a preset particle swarm algorithm multiple times, to obtain particle position;For each iteration, the fitness is determined according to the particle position obtained by the current iteration and the objective function, and the target support axial force is determined according to the size of the fitness.The technical scheme of the embodiment of the application can accurately determine the optimal support axial force required by the foundation pit by using the preset particle swarm algorithm, solves the problem of low control precision of traditional control method, realizes fine control of the support axial force of the foundation pit, and avoids the deformation of the foundation pit.

This invention discloses a high-dynamic tracking method and system for low-Earth orbit satellites. The method is as follows: Step 1: Obtain the two-line orbital element number TLE of the satellite, and calculate the theoretical position and angular velocity of the satellite at the current moment using the orbital propagation model, as a priori guidance for antenna pointing; Step 2: Construct a particle swarm in a two-dimensional search space, where each particle represents a possible antenna pointing angle; Step 3: Collect the received signal strength (RSSI) corresponding to the positions of multiple particles in the particle swarm, and fit the current signal strength gradient vector using the least squares method based on the geometric differences in the spatial distribution of particles; Step 4: Calculate the position of each particle at the next moment according to the generalized velocity update equation, which includes three driving forces: swarm intelligence term, cooperative gradient term, and orbital feedforward term; Step 5: Convert the updated optimal swarm position into a servo control command to drive the antenna rotation.

The application discloses a device and method for measuring the stability of particles captured by a lithium niobate-based photovoltaic tweezer, and is composed of a particle capturing system and a real-time particle position measuring system. The particle stability measurement first makes laser sweep across the particles on the pure lithium niobate chip. Due to the unique crystal characteristics of lithium niobate, the image recorded by the CCD camera below presents regular light and dark changes. The image is calculated to obtain the function relationship between the particle displacement information and the gray value change. Then the substrate is replaced with an iron-doped lithium niobate chip, the particles on the chip are captured by the particle capturing system, and the real-time particle position measuring system can calculate the real-time particle position information. The application can measure the stability of the particles captured by the lithium niobate-based photovoltaic tweezer under weak laser intensity, and also can measure the capturing stability of the particles under large light intensity by adding an attenuator, and has the characteristics of wide measurable light intensity range and real-time observation during the whole process.

This invention discloses a method and apparatus for detecting leaks in hydrogen storage spherical tanks. The method acquires detection data from a multimodal sensor network deployed around the target hydrogen storage spherical tank; initializes a particle set within a pre-defined potential leak area of ​​the target tank, with each particle representing a candidate leak point location and having a corresponding weight; iteratively updates the particle filtering process, predicting the particle set based on a hydrogen diffusion model in each iteration, simulating sensor prediction readings using sensor response models, calculating particle likelihood based on the matching degree between the predicted readings and the detection data, updating particle weights, and resampling the particles to generate a new particle set; until the iteration termination condition is met, a weighted average of the particle positions is calculated to obtain the suspected leak point location. This method can accurately locate leak points in hydrogen storage spherical tanks, improving the safety monitoring level of hydrogen storage equipment.

This invention relates to a quantum particle swarm optimization method based on a genetic algorithm for UAV trajectory planning, comprising: initializing particle swarm parameters; calculating particle positions through Monte Carlo random simulation based on the probability density function of a particle appearing at a point in quantum space, obtaining multiple first particles; updating the current best position and the global best position of the particles using particle fitness values; performing a crossover operation on all first particles based on the current best position and the global best position, and updating the first particles using a strategy of retaining excellent individuals, obtaining multiple second particles; performing a mutation operation on the second particles, and updating the second particles using a strategy of retaining excellent individuals, obtaining multiple third particles; repeating the process until the maximum number of iterations is reached to obtain the global best position of the particles, thereby obtaining the optimal solution for UAV trajectory planning. This method has strong global search capability, fewer sensitive parameters, and higher convergence accuracy.

The present application relates to a kind of sea ice discrete element model generation method based on close-packed hexagonal arrangement mode, and the particle generation method of innovatively used python and EDEM can be perfectly fused with the particle position information generated by computational fluid dynamics software FLUENT, real-time transmission and mutual calculation of particle position information are realized, so as to consider the influence of fluid on sea ice and structure effect;Using python software, by inputting the position information of particle and the relationship between different layers, the arrangement position of particle can be changed very conveniently, the generation of model is controlled according to demand, so as to realize the simulation of different types of materials.The present application method reduces the overall cost of sea ice discrete element method calculation, and realizes the input of particle position information for computational fluid dynamics, so as to be able to consider the influence of fluid on ice area marine environment, improve the calculation accuracy, so as to realize more reasonable and comprehensive ice load analysis calculation evaluation.

The application belongs to the field of microwave technology and electromagnetic optimization design, and particularly discloses an electromagnetic device optimization design method based on a particle swarm optimization algorithm assisted by multi-view semi-supervised learning. The method disclosed by the application comprises the following steps: defining design variables and optimization objectives, and generating initial samples; updating particle positions by using an improved social learning particle swarm algorithm, selecting a prediction model to perform real simulation on potential particles, and storing the remaining particles in an unlabeled sample pool; screening high-confidence samples by using a multi-view model, generating pseudo-labels by using convex combination optimization, and expanding a training set; constructing a semi-supervised learning model, calculating a prediction error, and setting a tolerance interval; selecting a prediction model according to a three-mode decision rule, iteratively updating the model and the particle swarm, and stopping until the design objectives are met. The application can efficiently optimize the performance of electromagnetic devices with a small number of simulation times. The application is suitable for electromagnetic design problems with high-cost simulation evaluation.

This invention discloses a method and apparatus for displaying object deformation based on force feedback interaction. When CT data of the object to be interacted with is received, a polygonal bounding volume is constructed using the CT data. The polygonal bounding volume is then tetrahedralized to generate a tetrahedral mesh model. Based on the vertex relationships between tetrahedral units and the unit volume of each tetrahedral unit, the equivalent mass of the mesh particles in each tetrahedral unit is allocated to obtain a soft mesh model. External forces are applied to the soft mesh model in response to control commands. Based on the equivalent mass of the mesh particles and the force corresponding to the applied external force, the particle positions of each tetrahedral unit are iteratively updated to obtain the updated particle positions. The image is rendered based on the updated particle positions, outputting the deformation image corresponding to the object to be interacted with. By combining tetrahedral modeling and iterative updates of particle positions, the accuracy and consistency of force feedback control for interaction between external forces and soft objects are effectively improved.

This invention provides a simulation program, a simulation method, and a simulation apparatus that improve the calculation accuracy of simulations. [Solution] For each particle representing the fluid pressurized by the wall surface, the first acceleration of the particle is calculated using the SPH method. Based on the physical properties of the fluid and the amount of pressurization, a calculated amount of pressurization to be used in the calculation is calculated. Based on the calculated amount of pressurization and the first acceleration, the second acceleration of the particle and the third acceleration of the wall surface particle representing the wall surface are calculated. Based on the second and third accelerations, the computer is made to perform a process to update the position and velocity of the particle and the wall surface particle.

The application discloses a method for generating a specific pattern by inducing particle adsorption based on micro-fluidic bubbles, and belongs to the fields of micro-fluidics and fluid mechanics.The method comprises the following steps: obtaining three-dimensional flow field data containing spatial position, corresponding velocity and phase field information; performing numerical simulation on particle motion based on the three-dimensional flow field data, calculating gravity, buoyancy, viscous resistance, van der Waals attraction, electrostatic repulsion, friction, wall support force and capillary force acting on the particle by judging the contact state of the particle with a wall surface and a gas-liquid interface; constructing a particle motion equation under the combined action of the above eight forces, updating the particle position and obtaining a migration track by using a time advancing method according to the motion equation; when the spherical surface of the particle is in contact with the solid wall surface, if the movement speed of the particle in the solid wall surface is consistent with the movement speed of the solid wall surface, it is determined that the particle has completed the transition from free motion to stable deposition, and the position of the particle at this time is recorded as a deposition site; and all the deposition sites are gathered into a specific pattern.