Swimming pool pollutant cleaning route generation method and device, cleaning method and device and electronic equipment
By identifying and generating cleaning routes that adapt to pollutant categories, density and distribution, the problem that swimming pool cleaning robots are difficult to adapt to different pollutants is solved, and cleaning efficiency and effect are improved.
CN120428705APending Publication Date: 2025-08-05SUZHOU SMOROBOT TECH CO LTD
Patent Information
- Application Number
- CN202412000452.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-03-28
- Filing Date
- 2024-12-31
- Publication Date
- 2025-08-05
AI Technical Summary
Technical Problem
The existing pool cleaning robots are difficult to adapt to the cleaning needs of different pollutants, resulting in poor pool cleaning results.
Method used
By identifying the types, distribution density and distribution locations of pollutants in the swimming pool, a cleaning route for pollutants is generated, so that their starting point and end point positions fall on the planned path, and combining the claw shape and the one-shaped cleaning route, the cleaning strategy is optimized.
Benefits of technology
It improves the cleaning efficiency of the swimming pool cleaning robot, meets the cleaning needs of different pollutants, and reduces the cleaning movement distance.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120428705A_ABST
Abstract
The invention provides a cleaning route generation and cleaning method and device for swimming pool pollutants and electronic equipment, and the method comprises the steps: controlling a swimming pool cleaning robot to move along a planned path of a swimming pool, and recognizing the types, distribution density and distribution positions of the pollutants in the swimming pool, according to the advancing direction of the swimming pool cleaning robot relative to the planned path and the types, the distribution density and the distribution positions of the pollutants, a cleaning route of the pollutants is generated, and the starting point position and the final point position of the cleaning route of the pollutants both fall on the planned path. Therefore, the cleaning requirements of different pollutants can be met, the cleaning route of the pollutants is matched with the existing planned path, the moving distance of the swimming pool cleaning robot can be reduced, and the swimming pool cleaning efficiency is improved.
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Citation Information
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