Cleaning Robot Dirtiness Detection for Selective Repeated Mopping
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Solution Overview
Problem
Existing cleaning robots do not effectively monitor the cleanliness of mopped regions, leading to incomplete cleaning and dirty areas remaining unaddressed.
Innovation Solution
A controlling method for a cleaning robot that involves mopping a preset cleaning region, assessing the dirtiness degree, identifying target regions that need repeated mopping, and then mopping those regions after the initial area has been cleaned and the mopping member maintained.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cleaning robot mops the ground continuously without monitoring cleanliness, then the cleaning process is simple and fast, but some regions remain dirty and cleaning quality deteriorates
Solution Approach 1:
The patent implements a feedback mechanism by detecting the dirtiness degree of the mopped ground and using this information to determine whether repeated mopping is needed. The cleaning robot monitors the cleaning result and adjusts its behavior accordingly, creating a closed-loop control system that improves cleaning quality while avoiding unnecessary operations.
Solution Approach 2:
The patent applies partial action by performing repeated mopping only on specific target regions that are identified as still dirty, rather than re-mopping the entire cleaned area. This selective approach ensures cleaning quality is maintained while avoiding excessive cleaning operations on already clean regions.
2Reliability
If the cleaning robot repeatedly mops all regions after cleaning, then cleaning thoroughness improves, but cleaning time and energy consumption increase
Solution Approach 1:
The system uses dirtiness degree detection to provide feedback on which regions actually need repeated mopping. By basing the repeated cleaning decision on actual dirtiness measurements rather than uniform re-cleaning of all areas, the system achieves thorough cleaning where needed while minimizing unnecessary cleaning time and energy consumption.
Solution Approach 2:
The patent implements partial action by limiting repeated mopping operations only to target regions that are identified as still dirty through detection. This avoids the time waste of re-mopping already clean regions while ensuring thorough cleaning of areas that require it.
3Reliability
If the cleaning robot monitors dirtiness degree and performs selective repeated mopping, then cleaning quality improves, but the system complexity and detection requirements increase
Solution Approach 1:
The patent replaces complex mechanical or manual inspection methods with detection devices that automatically measure dirtiness degree. This substitution simplifies the overall system by using electronic or optical detection mechanisms rather than complex mechanical assessment systems, making dirtiness monitoring more practical and less complex.
Data Source
AI summary
A controlling method and apparatus of a cleaning robot, a cleaning method and apparatus, a system, and a storage medium are provided. The method includes: controlling the cleaning robot to mop a preset cleaning region through a mopping member; obtaining a first dirtiness degree corresponding to the preset cleaning region; determining that the preset cleaning region includes a target region according to the first dirtiness degree, the target region being a region that needs to be repeatedly mopped; and controlling the cleaning robot to mop at least part of the target region through the mopping member after mopping of the preset cleaning region has been completed and after maintenance of the mopping member. Whether the at least part of the preset cleaning region needs to be mopped repeatedly is determined according to the dirtiness degree of the preset cleaning region, and if yes, the at least part of the preset cleaning region is mopped repeatedly after the mopping member is maintained, thereby improving the cleaning effect of the preset cleaning region.