Robot Cleaner Dust Sensor Layout for Adaptive Cleaning Control
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Solution Overview
Problem
Conventional robot cleaners lack an efficient method to determine and adapt to varying cleaning states in different areas, leading to inconsistent cleaning performance and inefficient resource allocation.
Innovation Solution
A robot cleaner equipped with multiple dust sensors positioned at different points on its body, allowing it to sense dust levels before and after passing through an area, and a control unit that adjusts its cleaning mode based on real-time data to identify intensive or general cleaning targets, optimizing cleaning operations by altering speed and suction force.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a robot cleaner uses a single dust sensor, then the device complexity is low, but the measurement precision of dust levels in different areas is insufficient
Solution Approach 1:
The patent divides the cleaning area into multiple zones by positioning dust sensors at different locations (front, rear, and side of the robot body). This segmentation allows independent detection of dust levels in different areas, enabling the robot to identify specific regions requiring intensive cleaning versus general cleaning, thereby resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent transitions from single-point dust detection to multi-dimensional spatial detection by arranging sensors in three-dimensional space around the robot body. This dimensional expansion enables comprehensive dust level assessment across different cleaning zones, improving measurement precision without proportionally increasing system complexity through intelligent sensor placement.
2Reliability
If the robot cleaner performs intensive cleaning in all areas, then the cleaning quality is high, but the energy consumption increases
Solution Approach 1:
The patent implements local quality control by adjusting cleaning intensity based on spatially-resolved dust sensor data. The control unit commands the robot to perform intensive cleaning only in areas where dust sensors detect high dust levels, while applying gentle cleaning in low-dust areas. This localized approach maintains high cleaning quality in contaminated zones while significantly reducing overall energy consumption compared to uniform intensive cleaning of the entire area.
Solution Approach 2:
The patent dynamically changes cleaning parameters (suction power, movement speed, brush rotation speed) based on real-time dust sensor readings from different areas. The control unit modifies these parameters adaptively - increasing them in high-dust regions and decreasing them in low-dust regions - thereby maintaining reliable cleaning quality while optimizing energy consumption through parameter adjustment rather than maintaining constant high-intensity operation.
3Adaptability or versatility
If the robot cleaner uses multiple dust sensors at different positions, then the adaptability to varying cleaning states is improved, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-positioning multiple dust sensors at strategically selected locations on the robot body (front, rear, and side positions) before cleaning operations begin. This preliminary sensor deployment enables the system to proactively detect dust level variations across different areas and adaptively adjust cleaning modes in real-time, improving adaptability to varying cleaning states without requiring complex real-time sensor placement or reconfiguration mechanisms.
Solution Approach 2:
The patent implements feedback control by continuously monitoring dust sensor readings from multiple positions and using this information to dynamically adjust cleaning parameters and movement patterns. The control unit processes sensor data to determine appropriate cleaning modes (intensive vs. gentle cleaning) and provides real-time feedback to the actuation system, enabling adaptive cleaning behavior that responds to actual dust distribution patterns while maintaining manageable system complexity through algorithmic control.
4Reliability
If the robot cleaner moves slowly to clean thoroughly, then the cleaning quality improves, but the productivity decreases
Solution Approach 1:
The patent applies dynamics by making the robot's movement speed variable rather than constant. The control unit dynamically adjusts speed based on dust sensor feedback - reducing speed in high-dust areas requiring thorough cleaning and increasing speed in low-dust areas where quick passage is sufficient. This dynamic speed adjustment maintains cleaning thoroughness in contaminated zones while improving overall productivity by preventing unnecessary slow movement through already-clean or low-dust regions.
Solution Approach 2:
The patent implements periodic action through alternating cleaning patterns - switching between intensive slow-speed cleaning in high-dust areas and rapid transit through low-dust areas. The control unit periodically evaluates dust sensor data and adjusts the cleaning cycle accordingly, creating a rhythmic pattern of thorough cleaning followed by quick movement to adjacent zones. This periodic alternation between slow and fast modes maintains cleaning quality where needed while significantly improving overall cleaning area coverage rate.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively identifies and prioritizes areas requiring intensive cleaning, ensuring thorough cleaning while conserving resources, thereby improving overall cleaning efficiency and adaptability.
Implementation Method 1
a first sensor that is located on a front side of the main body and that is configured to sense dust that is located in the traveling route before the robot cleaner passes dust
Data Source
AI summary
A robot cleaner includes a main body that defines an external appearance of the robot cleaner. The robot cleaner further includes a plurality of dust sensors that are located at different positions on the main body and that are configured to sense dust that is located in a traveling route of the robot cleaner. The robot cleaner further includes a control unit that is configured to control movement and a cleaning operation of the robot cleaner based on sensing data from the plurality of dust sensors.