Automatic cleaning device control method and apparatus, device and medium
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Solution Overview
Problem
Automatic cleaning devices face challenges in adapting to varying floor environments and debris conditions, leading to inefficient cleaning modes and increased energy consumption.
Innovation Solution
The method involves obtaining historical environment parameters, forming reference data, and comparing current parameters to adjust cleaning modes and directions in real-time using sensors and navigation systems, allowing the device to intelligently adapt to different cleaning conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the cleaning robot works in different modes based on floor environment detection, then the adaptability to different cleaning conditions is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary actions by establishing reference data for different floor types (carpet, wood, tile) before actual cleaning. The processor pre-stores cleaning parameters for various floor materials, enabling quick adaptation without complex real-time analysis during cleaning operations.
Solution Approach 2:
The system implements feedback mechanisms by continuously comparing detected floor type and debris information with stored reference data. The processor adjusts cleaning parameters based on this comparison, creating a closed-loop control system that adapts to changing conditions while maintaining manageable complexity through systematic feedback processing.
2Productivity
If the cleaning robot detects floor environment in real-time, then the cleaning effectiveness is improved, but the energy consumption increases
Solution Approach 1:
The system performs preliminary detection and classification of floor types before intensive cleaning operations. By identifying the floor material early and retrieving pre-stored reference parameters, the system avoids continuous complex environmental analysis during cleaning, thereby reducing energy consumption while maintaining effectiveness.
Solution Approach 2:
The system applies partial detection strategies by focusing sensing resources on key parameters (floor type, debris presence) rather than continuously analyzing all environmental factors. This selective detection approach maintains cleaning effectiveness while significantly reducing the energy required for environmental monitoring.
3Manufacturing precision
If the cleaning robot avoids specific regions based on debris type, then the cleaning precision is improved, but the productivity decreases
Solution Approach 1:
The system applies local quality by adjusting cleaning parameters specifically for regions with particular debris types or floor conditions. Instead of uniform cleaning across all areas, the processor modifies suction power, brush rotation speed, and cleaning path based on local debris characteristics detected by sensors, thereby improving precision without requiring complete re-cleaning of entire areas.
Solution Approach 2:
The system employs partial action by selectively applying enhanced cleaning only to regions that require it based on debris detection. Areas with minimal debris receive standard or reduced cleaning intensity, allowing the robot to maintain high cleaning precision for problem areas while improving overall productivity by avoiding unnecessary intensive cleaning in already clean regions.
Data Source
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AI summary
An automatic cleaning device control method and apparatus, an automatic cleaning device (100), and a medium. The control method comprises: acquiring historical environment parameters of a work area (602); forming benchmark data on the basis of the historical environment parameters, the benchmark data being a benchmark value or at least one interval value (604); acquiring current environment parameters of a current work area, and comparing the current environment parameters with the benchmark data (606); and selecting a cleaning mode according to the comparison result to perform cleaning (608). The provided automatic cleaning device (100) is more intelligent in a cleaning process; in addition, choosing different working modes according to different cleaning conditions can also save energy and improve the overall user experience of the automatic cleaning device (100).