Self-Cleaning Method of Cleaning System
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Solution Overview
Problem
Existing cleaning systems waste energy and affect user experience by repeatedly stopping and restarting self-cleaning processes due to unintentional interruptions or mis-operations, which are time-consuming and inefficient.
Innovation Solution
A self-cleaning method for cleaning systems that allows the system to continue or restart self-cleaning based on specific conditions, such as water levels or user input, ensuring efficient completion without unnecessary restarts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cleaning system automatically restarts self-cleaning after interruption, then the cleaning system can resume cleaning tasks, but energy is wasted and user experience deteriorates due to repeated interruptions and restarts
Solution Approach 1:
The system dynamically adjusts the restart strategy based on the interruption cause. When the interruption is caused by the main cleaning machine being separated from the base, the system suppresses automatic restart. When the interruption is caused by other factors (water shortage, sewage tank full, etc.), the system allows automatic restart. This dynamic decision-making resolves the contradiction by making the restart behavior adaptive rather than fixed.
Solution Approach 2:
The system detects the cause of self-cleaning interruption through feedback mechanisms (separation detection, water level sensors, sewage tank level sensors). Based on this feedback information, the system intelligently determines whether to restart self-cleaning. This feedback-driven approach prevents unnecessary restarts while ensuring cleaning completion when appropriate, thereby reducing energy waste while maintaining reliability.
2Loss of energy
If the cleaning system suppresses restart after separation, then energy is saved, but cleaning tasks may be incomplete if the separation was unintentional
Solution Approach 1:
The system dynamically adjusts the restart strategy based on the interruption cause. When the interruption is caused by the main cleaning machine being separated from the base, the system suppresses automatic restart. When the interruption is caused by other factors (water shortage, sewage tank full, etc.), the system allows automatic restart. This dynamic decision-making resolves the contradiction by making the restart behavior adaptive rather than fixed.
Solution Approach 2:
The system detects the cause of self-cleaning interruption through feedback mechanisms (separation detection, water level sensors, sewage tank level sensors). Based on this feedback information, the system intelligently determines whether to restart self-cleaning. This feedback-driven approach prevents unnecessary restarts while ensuring cleaning completion when appropriate, thereby reducing energy waste while maintaining reliability.
3Ease of operation
If the cleaning system offers user selection for continue or restart, then user experience is improved, but system complexity increases
Solution Approach 1:
The system dynamically adjusts the restart strategy based on the interruption cause. When the interruption is caused by the main cleaning machine being separated from the base, the system suppresses automatic restart. When the interruption is caused by other factors (water shortage, sewage tank full, etc.), the system allows automatic restart. This dynamic decision-making resolves the contradiction by making the restart behavior adaptive rather than fixed.
Solution Approach 2:
The system detects the cause of self-cleaning interruption through feedback mechanisms (separation detection, water level sensors, sewage tank level sensors). Based on this feedback information, the system intelligently determines whether to restart self-cleaning. This feedback-driven approach prevents unnecessary restarts while ensuring cleaning completion when appropriate, thereby reducing energy waste while maintaining reliability.
Data Source
AI summary
The disclosure provides a self-cleaning method of a cleaning system, wherein the cleaning system includes a main cleaning machine and a base, and the main cleaning machine is detachably arranged on the base; and in a self-cleaning process, when a self-cleaning running condition is not met, the cleaning system stops the self-cleaning, and after the self-cleaning running condition is met, the cleaning system selects to continue to perform the self-cleaning or restart the self-cleaning. Since the self-cleaning process takes a long time, if the cleaning system stops the self-cleaning due to mis-operation in the self-cleaning process, the self-cleaning is able to be continued by means of the method after the self-cleaning condition is met again, instead of restarting self-cleaning, thereby avoiding repeated running, saving energy and improving the user experience. The disclosure is able to be applicable to different self-cleaning modes according to different conditions, thereby being flexible and efficient.


