Robot Cleaner Path Adaptation Based on Dust Distribution Detection
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Solution Overview
Problem
Existing robot cleaners rotate brushes at a constant speed regardless of dust distribution, leading to contamination spreading, increased cleaning difficulty, and unnecessary power consumption due to inefficient cleaning paths.
Innovation Solution
An electronic apparatus with processors that identify cleanable areas and adjust cleaning paths based on dust distribution, altering brush speeds and directions to optimize cleaning efficiency and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If the robot cleaner cleans an area without taking into consideration the dust distribution, then the cleaning path is simple and easy to follow, but unnecessary power consumption occurs
Solution Approach 1:
The cleaning path is made dynamic by adjusting it in real-time based on detected dust distribution. The robot cleaner modifies its cleaning path adaptively according to the actual dust locations, transitioning from a static predetermined path to a dynamic responsive path that optimizes energy consumption while maintaining cleaning effectiveness.
Solution Approach 2:
The system implements feedback by detecting dust distribution during cleaning operation and using this information to adjust the cleaning path. The dust detection results feed back to the control system, which then modifies the cleaning path to avoid unnecessary cleaning in dust-free areas, thereby reducing power consumption.
2Object-affected harmful factors
If the brush rotates at a constant speed regardless of dust distribution, then the brush structure is simple and easy to control, but contamination spreading or re-contamination occurs
Solution Approach 1:
Different parts of the cleaning system (brushes at different positions) are controlled with different rotation speeds based on their local dust conditions. The brush rotation speed is adjusted locally according to the dust distribution in each specific area, allowing high-speed rotation in dust-free areas to prevent re-contamination and appropriate speed control in dusty areas to avoid spreading contamination.
Solution Approach 2:
The brush rotation speed parameter is changed dynamically based on dust distribution detection. The system adjusts the rotation speed parameter in real-time according to the detected dust levels, transitioning from a constant speed regime to a variable speed regime that adapts to local conditions, thereby preventing both contamination spread and re-contamination.
3Productivity
If the robot cleaner follows a fixed cleaning path, then the control system is simple, but cleaning efficiency decreases due to unnecessary power consumption in dust-free areas
Solution Approach 1:
The cleaning path transitions from a static fixed route to a dynamic adaptive path that responds to real-time dust distribution detection. The robot cleaner adjusts its cleaning path dynamically based on detected dust locations, optimizing cleaning efficiency by focusing on dusty areas while avoiding unnecessary traversal of dust-free zones.
Solution Approach 2:
The system uses feedback from dust detection to continuously adjust the cleaning path. The detected dust distribution information feeds back to the navigation system, which then modifies the cleaning path to improve cleaning efficiency by prioritizing areas with dust accumulation.
Data Source
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AI summary
An electronic device and a method for controlling the electronic device are disclosed. The electronic device comprises: at least one memory in which one or more instructions are stored and information on a cleaning path and dust distribution information is stored; a driving unit; and one or more processors connected to the at least one memory and the driving unit. When the one or more instructions are executed by the one or more processors, the electronic device may control the driving unit to identify a cleanable area corresponding to at least a part of the cleaning path, and to change the cleaning path on the basis of the cleanable area and the dust distribution information.