Robotic Vacuum Dust Sensing for Targeted Room Cleaning
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Solution Overview
Problem
Current robotic vacuum cleaners consume excessive energy and resources by cleaning entire areas uniformly, including sections that are not frequently used and may already be clean, leading to inefficient energy use and larger device sizes.
Innovation Solution
A method and device that measure PM2.5 and PM10 particle levels to determine if a predefined threshold is exceeded, triggering cleaning only in areas with high PM10 levels, thereby guiding robotic vacuum cleaners to focus cleaning efforts where needed, reducing unnecessary cleaning and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robotic vacuum cleaners clean entire areas uniformly, then cleaning coverage is complete, but energy consumption increases and device size increases
Solution Approach 1:
The patent applies local quality by differentiating cleaning needs across different spatial locations. Particle counters measure PM10 and PM2.5 levels at specific locations, and the control system generates location-specific cleaning instructions only for areas where PM10 exceeds PM2.5 by the threshold, rather than uniformly cleaning entire areas. This resolves the contradiction by maintaining reliable cleaning coverage in dirty areas while avoiding unnecessary energy consumption in clean areas.
Solution Approach 2:
The patent segments the cleaning area into multiple zones based on particle concentration measurements. Each zone is independently evaluated by particle counters, and cleaning instructions are generated selectively for specific segments (rooms or areas) where dust levels exceed thresholds. This segmentation approach ensures complete cleaning coverage is maintained where needed while reducing overall energy consumption by excluding clean segments from cleaning operations.
2Reliability
If robotic vacuum cleaners clean entire areas uniformly, then cleaning coverage is complete, but device size increases
Solution Approach 1:
The system uses local quality measurements of particle concentrations to determine cleaning needs. By measuring PM10 and PM2.5 levels at specific locations and comparing them locally, the system can generate targeted cleaning instructions for specific areas rather than requiring a large device capable of cleaning entire premises uniformly. This reduces device size while maintaining reliable cleaning coverage in areas that actually need cleaning.
Solution Approach 2:
The patent segments the monitoring and cleaning control into multiple independent measurement points throughout the area. Each particle counter independently monitors its local environment, and the control system segments the cleaning task into location-specific instructions. This segmentation allows the use of smaller, more accessible devices that can be deployed to specific areas rather than requiring one large device to cover entire premises.
3Reliability
If cleaning is performed in all areas, then cleaning thoroughness is maximized, but energy consumption increases
Solution Approach 1:
The patent implements feedback by continuously measuring particle concentrations (PM10 and PM2.5) in different areas and using this information to dynamically control cleaning operations. The particle counters provide real-time feedback on dust levels, and the control system adjusts cleaning instructions based on this feedback, generating cleaning tasks only when PM10 exceeds PM2.5 by the predefined threshold. This feedback mechanism ensures cleaning thoroughness in dirty areas while preventing energy waste in already clean areas.
Solution Approach 2:
The patent applies partial action by performing cleaning only in areas where it is actually needed (where PM10 > PM2.5 + threshold) rather than applying excessive cleaning action to entire areas. The particle counter measurements enable the system to identify specific partial regions requiring cleaning, thereby maintaining cleaning thoroughness where necessary while eliminating energy waste from unnecessary cleaning in clean areas.
Data Source
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AI summary
A method of dust processing comprises measuring (PC1) a first amount of particles of a first size (e.g. PM10), and measuring (PC2) a second amount of particles of a second size (e.g. PM2.5) smaller than the first size. In accordance with the invention, it is determined (Δ) whether the first amount exceeds the second amount by a predefined threshold. If so, a robotic vacuum cleaner (RVC) may be prompted to start cleaning a room.