Wetland operation path planning method for combine harvester based on particle swarm optimization

By combining the particle swarm optimization algorithm with soil moisture and compaction models, a combine harvester path planning with high passability and low cost is generated in complex wetland environments. This solves the problem of unreasonable path planning in existing technologies and improves the stability and reliability of operations.

CN120742891AInactive Publication Date: 2025-10-03JIANGSU MAGIC CHINESE MEDICINE TECH CO LTD +1
0 Cites 1 Cited by

Patent Information

Application Number
CN202510904182.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-01
Publication Date
2025-10-03
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing path planning methods fail to fully consider soil moisture and compaction in wetland areas, resulting in a low probability of combine harvesters passing through complex environments, long paths, and high operating costs. In addition, sharp angles or twists in the path often exceed the controllable range of the machine, increasing the risk of operation failure.

Method used

A particle swarm optimization-based method is used to construct a traffic probability model that integrates soil moisture and compaction degree. Combined with rasterization processing and fitness function, a global optimal path is generated through the particle swarm optimization algorithm, and circular arc interpolation processing is introduced into the path to meet mechanical feasibility.

Benefits of technology

It realizes path planning with high probability of passage, short path length and low operation cost in complex wetland environment, and improves the execution stability and operation reliability of the path in actual fields.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of operation path planning, in particular to a combined harvester wetland operation path planning method based on particle swarm optimization, and the method comprises the following steps: S1, building a wetland passage probability model, and outputting the passage probability value of each position point; s2, constructing a rasterized passable probability matrix based on the pass probability values output in S1; s3, designing a wetland fitness weight function taking a path point passing probability accumulated value as a core; s4, executing a particle swarm optimization algorithm, and outputting a global optimal path point sequence; and S5, performing arc interpolation processing on the global optimal path point sequence output in the S4 to generate an operation path. According to the method, through fusion of passage probability modeling and arc interpolation optimization, a continuous and feasible wetland operation path is generated on the premise of meeting the turning constraint of the combine harvester, so that the path trafficability and the operation execution stability are improved.
Need to check novelty before this filing date? Find Prior Art