13results about How to "Improve planning efficiency" patented technology

The application discloses a kind of multi-target vehicle path optimization method, system, electronic equipment and medium, it is related to vehicle scheduling and intelligent optimization field, the method includes: the customer point sequence and vehicle data of current time of acquisition are input in each main task subproblem model and each auxiliary task subproblem model, obtain the planning scheme of current main task and the planning scheme of current auxiliary task;Current planning scheme is determined as initial population, and the initial population of main task is iteratively optimized according to the initial population of auxiliary task using the way of evolutionary migration, obtain optimal planning scheme, and the subproblem model is obtained based on decomposition model to deep reinforcement learning model training;Main task decomposition model is obtained by decomposing main task model, and auxiliary task decomposition model is obtained by decomposing auxiliary task model;Main task model is constructed based on five targets;Auxiliary task model is constructed based on two targets in five targets.The application can improve the planning efficiency and accuracy of vehicle path.

This application discloses a low-altitude defense platform deployment system and method. The system includes: a data acquisition module for acquiring relevant data of the defense area and information on available platforms; a capability quantification module for uniformly quantifying the capability parameters of each platform to obtain standardized capability descriptions; an AI agent search module, comprising multiple parallel-working AI agents and a shared memory area; each AI agent iteratively executes the generation of candidate deployment schemes, calculation of constraint violations, and evaluation of comprehensive performance scores, and updates the locally optimal deployment scheme based on the evaluation results, exchanging scheme information through the shared memory area to guide subsequent searches; and a scheme determination module for determining the globally optimal deployment scheme when termination conditions are met. This application improves the comprehensive protection effectiveness and planning efficiency of heterogeneous defense platform deployment schemes through capability quantification and multi-agent parallel collaborative search, achieving automated global optimization deployment under complex constraints.

This invention belongs to the field of task scheduling technology and discloses a hierarchical task scheduling method for UAV swarms for large-scale node inspection. The steps are as follows: S1: Initialize the UAV inspection task and input the upper-level task allocation model; S2: The upper-level task allocation model calculates the task allocation probability using an alternating optimization method and updates the task centroid; S3: Repeat S2 until the iteration threshold, and then use a hard allocation method to divide the inspection task into multiple task subsets; S4: Allocate the task subsets to the UAV swarm and send them to the lower-level path planning model; S5: The lower-level path planning model selects the optimal inspection node for the UAV at each time step and updates the task status; S6: Repeat S5 until the inspection path for each UAV is constructed, thereby obtaining a hierarchical task scheduling result for the UAV swarm covering all inspection nodes. This invention designs a task scheduling framework that combines an upper-level task allocation model and a lower-level path planning model, which can effectively support UAV inspection tasks.

The invention discloses an automatic pool cleaning device, an automatic pool cleaning system and a method for controlling the automatic pool cleaning device. The method comprises the following steps: acquiring data about a boundary of a to-be-cleaned area in a pool; determining a path for cleaning the to-be-cleaned area; and controlling the automatic pool cleaning equipment to move according to the path so as to clean the to-be-cleaned area.

This invention discloses a method and system for processing personnel information for business administration based on big data, relating to the field of personnel information data processing technology. The method includes the following steps: acquiring personnel information; preprocessing the personnel information to obtain preprocessed text information; processing the preprocessed text information through an embedding layer based on a CNN-BERT model to obtain a word vector matrix; processing the word vector matrix sequentially through a CNN convolutional layer, pooling layer, and fully connected layer to obtain structured data; using an improved ant colony optimization algorithm to perform path optimization for multi-condition combined queries on the structured data to obtain the globally optimal retrieval path; retrieving personnel information that satisfies the multi-condition combined query from the structured data based on the globally optimal retrieval path; and adaptively updating the global pheromone of the improved ant colony optimization algorithm after each round of multi-ant colony collaborative search to accurately locate the target personnel information.

The application relates to the technical field of tourism route planning, and particularly discloses a personalized tourism route planning method, which comprises the following steps: S1, obtaining target point, avoidance point and passable point data; S2, constructing a Thiessen polygon network through the target point, the avoidance point and the passable point, and connecting the target points in sequence to obtain a reference path; S3, obtaining an initial path; S4, directly connecting the lines in the initial path to optimize the initial path; S5, screening out the connected avoidance points in the initial path, searching for a Thiessen polygon region adjacent to the avoidance point, deleting the line connected with the avoidance point in the initial path, connecting the searched Thiessen polygon regions in sequence to obtain an avoidance path, and connecting the two ends of the avoidance path with two breakpoints in the initial path after deletion, so as to complete the planning of the tourism route. The personalized tourism route planning method can improve the planning efficiency of the tourism route.

The application discloses a multi-model reasoning method and device based on a graph structure, a medium and a program product, wherein the method comprises the following steps: querying a task target node in a graph database and starting from the task target node, and performing reasoning path expansion in the graph database according to a corresponding driving model, wherein the graph database comprises a plurality of directed acyclic graphs, and each directed acyclic graph is obtained by mapping metadata of a registered analysis model; generating a task topology execution graph according to model nodes involved in the expanded reasoning path and the corresponding driving model; and sequentially scheduling actual execution of each model node according to the task topology execution graph, and obtaining an explanation result corresponding to the task target node. The application improves the reasoning execution efficiency by explicitly attributing the analysis model and optimizing the reasoning path by using graph calculation, and improves the intelligence, performance and interpretability of multi-model collaborative analysis.

The present application aims to overcome the shortcomings of the prior art, and provides a robot welding path feature point position information acquisition method based on a structured light camera. The method uses a surface structured light camera to perform coarse positioning on a weld seam on the surface of a workpiece, and then performs fine positioning on the weld seam according to the coarse positioning information. The method can accurately measure the three-dimensional position information of a complex or changing weld seam, and generate a welding path suitable for robot execution according to the measurement results. The method improves the accuracy and consistency of the welding path, enables the robot to weld according to preset parameters and standards, avoids the decline in welding quality or the generation of defects caused by human error or environmental changes, improves the safety and reliability of the welding process, and enables the robot to weld in a complex or dangerous environment, reducing the harm and risk to personnel.

The application discloses an unmanned ship autonomous return method, device and system based on historical trajectory. t t The method comprises the following steps: acquiring a position point (x t , y t ) of the unmanned ship in real time, removing position points which are approximately overlapped in space at adjacent time points, obtaining an original position point set, searching the original position point set in time sequence, taking position points meeting constraint conditions as connected nodes, and numbering the connected nodes; constructing a topological structure diagram of historical motion trajectory based on the connected nodes, and sequentially calculating distances between the connected nodes; constructing a two-dimensional adjacency matrix according to the topological structure diagram, and searching and determining a shortest path of the historical motion trajectory from a starting point to an ending point and target nodes passed through by using a graph search method; and the unmanned ship autonomously returns according to an autonomous return path planned according to the shortest path and the target nodes. The method is simple, accurate, low in energy consumption, suitable for various complex water area conditions, and capable of improving stability of the unmanned ship when performing a task.

The present disclosure provides a path planning method and device, equipment and an autonomous vehicle, relates to the technical field of artificial intelligence, in particular to the technical field of autonomous driving. The specific implementation scheme is: performing secondary planning processing on a first path segment to obtain a first planned path, performing curve fitting processing on a second path segment to obtain a second planned path; based on the first planned path and the second planned path, generating a plurality of candidate paths; in the plurality of candidate paths, a target planned path is selected to control the vehicle to travel from a starting point to an ending point along the target planned path. The technical scheme provided by the present disclosure ensures the efficiency of path planning while improving the accuracy of path planning.

This application belongs to the field of robot dynamic path planning, and specifically relates to a dynamic path planning method and system based on latent space geometric collision perception. The method includes: Step S1, constructing a robot configuration space dataset based on robot joint configuration samples; Step S2, constructing a latent space topology map based on the robot configuration space dataset; Step S3, acquiring obstacle position information in real time, and constructing a geometric perception-enhanced latent space topology map decoupled from the robot configuration based on the latent space topology map; Step S4, generating a latent space planning path in the geometric perception-enhanced latent space topology map; Step S5, determining whether the latent space planning path has potential collision risks; if so, performing obstacle avoidance planning to regenerate a latent space planning path without potential collision risks; Step S6, mapping the latent space planning path to the robot joint space to obtain the robot joint trajectory. This application can achieve efficient, stable, and transferable dynamic path planning.

The application provides an adaptive pathfinding method for unmanned aerial vehicle clusters, specifically including task initialization and environment perception, path planning based on bionic intelligence, multi-vehicle cooperation and dynamic adjustment. The method designs an information pheromone updating strategy with variation mechanism and dynamic obstacle avoidance capability, making the path search more adaptive and stable. At the communication level, a decentralized communication architecture is adopted between unmanned aerial vehicles, supplemented by a cloud synchronization mechanism, to realize real-time sharing of task information and efficient adjustment of path schemes. The pathfinding method is applicable to various practical scenarios, including post-disaster search and rescue, ecological environment monitoring, and large-area inspection, and has good scalability and robustness, effectively addressing the challenges brought by dynamic environments and task changes.

The application discloses a time-varying path planning method, comprising the following steps: S1, determining path initial data of a mechanical arm, including a starting point x start and a termination point x end of the path; S2, acquiring feature information of an obstacle at a current time; S3, judging whether obstacle avoidance is needed; when obstacle avoidance is not needed, generating a path, and ending path planning; when obstacle avoidance is needed, obtaining a center point O0 of the path without obstacle avoidance in an obstacle space, and entering step S4; S4, determining a fuzzy center C of the obstacle according to feature points of the obstacle, and determining a direction of the path bypassing the obstacle according to the fuzzy center C of the obstacle and the path initial data of the mechanical arm; S5, determining feature points of the path according to the center point O0 and the direction of the path bypassing the obstacle; S6, generating the path at the current time according to the feature points of the path; and S7, returning to step S2 at a next time. The application can effectively improve path planning efficiency, adjust a smooth path in real time, and is particularly suitable for global dynamic obstacle avoidance of moving objects such as a snake-shaped mechanical arm.