Self-Moving Work System With Coverage-Guided Boundary Turning
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Solution Overview
Problem
Existing automatic working systems, such as robotic lawn mowers and vacuum cleaners, often result in uneven work due to their random path movement, leading to difficulties in navigating narrow passages and achieving consistent coverage in working regions.
Innovation Solution
An automatic working system with a self-moving device equipped with a movement module, a control module, and a navigation mechanism that records movement locations and determines coverage values in sub-regions. The system controls the self-moving device to turn based on coverage values, ensuring even work by selecting movement ranges that meet preset requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the self-moving device moves along a random path, then the device can cover the working region, but the work becomes uneven with repeated work in some regions and uncut areas in others
Solution Approach 1:
The navigation mechanism records movement locations and determines coverage values in real-time, providing feedback to the control module. The control module uses this feedback to adjust the movement path dynamically, ensuring uniform work distribution across all sub-regions by directing the device to areas with lower coverage values.
Solution Approach 2:
The system transitions from static random path movement to dynamic adaptive path planning. The movement path is continuously adjusted based on real-time coverage data, allowing the device to adapt its trajectory to achieve uniform work distribution while maintaining productivity.
2Ease of operation
If the self-moving device turns multiple times in narrow passages, then the device can navigate the passage, but energy is consumed more rapidly and work becomes uneven
Solution Approach 1:
Before entering narrow passages, the system pre-calculates optimal turning paths based on recorded coverage values. By planning the turning sequence in advance rather than making multiple reactive turns, the device reduces energy consumption while ensuring complete coverage of the narrow passage area.
Solution Approach 2:
The system changes movement parameters (speed, turning angle, turning frequency) based on real-time coverage data. In narrow passages, the device adjusts these parameters to optimize the balance between navigation capability and energy consumption, reducing unnecessary repeated turns.
3Adaptability or versatility
If the self-moving device follows a random path, then the device can move freely in the working region, but some regions are worked repeatedly while others remain uncut
Solution Approach 1:
The navigation mechanism provides continuous feedback on coverage distribution across different sub-regions. The control module uses this feedback to dynamically adjust the movement path, maintaining flexibility in navigation while ensuring uniform coverage by directing the device toward under-covered areas.
Solution Approach 2:
The system applies different movement strategies to different sub-regions based on their coverage status. In under-covered regions, the device increases movement frequency and adjusts path planning, while in well-covered regions, it reduces activity, thereby achieving overall uniformity while maintaining local adaptability.
Data Source
AI summary
An automatic working system, a turning method thereof, and a self-moving device. When the self-moving device reaches a boundary, a control module controls a movement module to turn to leave the boundary. In addition, the control module may control, based on coverage values corresponding to each movement range when the self-moving device reaches the boundary, the movement module to turn to a movement range with a coverage value that meets a preset requirement.