Cleaning method for cleaning device, robot vacuum cleaner, and storage medium
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Solution Overview
Problem
The cleaning efficiency of robot vacuum cleaners is relatively low in existing technologies due to the lack of consideration for different cleaning requirements across various regions to be cleaned.
Innovation Solution
A cleaning method that involves acquiring a grid map of the region to be cleaned, dividing it into candidate regions, screening and prioritizing these regions based on different cleaning parameters such as frequency, time, and mode, and then cleaning them according to priority sorting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform cleaning strategy is applied to all regions, then device complexity is reduced, but cleaning efficiency deteriorates
Solution Approach 1:
The cleaning device segments the cleaning area into multiple zones with different cleaning requirements (first cleaning area with first cleaning requirement, second cleaning area with second cleaning requirement). This segmentation allows the device to apply different cleaning strategies to different regions, thereby improving overall cleaning efficiency without requiring complex global optimization algorithms.
Solution Approach 2:
The patent implements local quality by assigning different cleaning parameters (cleaning frequency, cleaning mode, suction power) to different cleaning areas based on their specific requirements. The processor controls the cleaning device to execute customized cleaning strategies for each zone, optimizing cleaning performance locally while maintaining manageable system complexity.
2Reliability
If cleaning frequency is increased for all regions, then cleaning quality is improved, but energy consumption increases
Solution Approach 1:
The patent applies different cleaning frequencies to different cleaning areas based on their specific requirements. The processor identifies which areas need frequent cleaning and which can be cleaned less often, thereby maintaining high cleaning quality where needed while reducing energy consumption in areas with lower requirements.
Solution Approach 2:
The system dynamically adjusts cleaning parameters (frequency, duration, intensity) based on the identified cleaning requirements of different areas. By changing these parameters locally rather than uniformly across all areas, the system achieves reliable cleaning results while optimizing energy usage.
3Manufacturing precision
If cleaning time is extended for all areas, then cleaning thoroughness is improved, but loss of time increases
Solution Approach 1:
The cleaning device divides the total cleaning task into segmented zones with different thoroughness requirements. The processor prioritizes cleaning sequences and allocates time differently to each segment, ensuring thorough cleaning where necessary while reducing time spent in areas with lower requirements, thus optimizing the balance between thoroughness and total time.
Solution Approach 2:
The system performs preliminary analysis of the cleaning area to identify which regions require extensive cleaning and which can be quickly cleaned. Based on this preliminary assessment, the processor plans the cleaning sequence and time allocation in advance, executing thorough cleaning only where needed and reducing time loss overall.
Data Source
AI summary
A cleaning method for a cleaning device includes: acquiring a grid map of a region to be cleaned; dividing a passable region in the grid map into a plurality of candidate regions; screening the plurality of candidate regions; prioritizing a plurality of screened candidate regions, and corresponding the plurality of screened candidate regions with different priorities to different cleaning parameters; and cleaning the plurality of screened candidate regions according to priority sorting, the cleaning parameters include at least one of a cleaning frequency, cleaning time, cleaning agent addition information and a cleaning mode. Adopting the cleaning method for the cleaning device effectively solves problems in that cleaning efficiency of a robot vacuum cleaner is relatively low in related technologies.