Method and system for real-time reconstruction of job coverage area based on boundary gridding

Abstract

The invention relates to the field of agricultural engineering, in particular to a method and system for real-time reconstruction of a job coverage area based on boundary gridding. The method comprises the following steps of gridding two regions for region merging, and replacing the boundary of the two regions with a grid sequence; dividing the mesh sequence representing the boundary of the regioninto effective mesh, coincident mesh and ineffective mesh; dividing the mesh sequence of each region into effective mesh connection segments and invalid mesh connection segments by using coincident mesh; extracting the connection points of the effective mesh connection segments from the coincident mesh, and connecting the effective mesh connection segments at the connection points according to the mesh connection rules to form a mesh sequence representing a new region; extracting the coordinates of the center points of the grid series of the new region as the coordinates of the region vertices to construct the boundary of the new region. The invention also includes a job coverage area real-time reconstruction system based on boundary gridding. The invention can evaluate the leakage and over-reinjection areas which need to be emphatically checked in real time, quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of agricultural engineering, in particular to a method and a system for real-time reconstruction of an operation coverage area based on boundary meshing. Background technique [0002] In the process of plant protection UAV operation, the optimal operation route can be planned according to the route planning algorithm, but the UAV with low flight accuracy of the route cannot accurately fly along the planned route, resulting in poor operation effect parameters of real operations , which may lead to missed spraying or chemical damage; UAVs with high route control accuracy will also be affected by external environmental factors, making it difficult to ensure that the parameters of the operating area are consistent with the theoretical plan, resulting in the actual coverage area of ​​the liquid medicine being different from the theoretical calculation. Inconsistency makes the operation effect vary in the entire o...

AI Technical Summary

Problems solved by technology

When manually collecting fog droplets in the operation area, mainly use collection cards, test paper, measuring cups, etc., which are suitable for qualitative and quantitative analysis of the droplet drift law to build a droplet drift model, but not suitable for real-time online evaluation of the droplet coverage during the operation process; Moreover, this method takes a lot of time, and the staff need to be exposed to the environment where the drug diffuses for a long time, which may cause harm to the health of the staff.

Remote sensing image information extraction is suitable for large-area analysis and is also a current research hotspot. This method has high requirements for image quality, and it is necessary to use equipment to collect images of the operation area again in the air under good weather conditions after the drone operation is over. Analysis; the method of using human eyes to observe the operation effect needs to be carried out some time after the end of the operation. The operation effect is analyzed by observing the crop diseases, insect pests and growth information in the operation area. In addition, if missed spraying and excessive respraying areas are found at this time, the best period for pest control has often been missed, and it is difficult to recover the losses caused by pests and diseases through re-control

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