Optimization of cleaning frequency of area to be cleaned with autonomous cleaning robot
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Solution Overview
Problem
Existing autonomous cleaning robots require user intervention to adjust cleaning parameters, which can be complex and unsatisfactory due to varying room usage patterns, leading to inefficient cleaning.
Innovation Solution
An autonomous cleaning robot that measures dust accumulation and adjusts cleaning frequency automatically based on dust accumulation rates and estimated time intervals, optimizing cleaning without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user manually adjusts cleaning parameters for each area, then cleaning performance can be optimized for specific room usage patterns, but the operation becomes complex and requires repeated user intervention
Solution Approach 1:
The cleaning robot automatically adjusts its own cleaning parameters by measuring dust accumulation and calculating dust accumulation rates, eliminating the need for manual user intervention. The system monitors dust levels in different areas and autonomously modifies cleaning frequency and intensity based on measured data
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the robot measures dust accumulation, calculates accumulation rates, compares them against thresholds, and adjusts cleaning parameters accordingly. This continuous monitoring and adjustment cycle ensures optimal cleaning performance adapts to changing conditions without user input
2Ease of operation
If default cleaning parameters are used for all areas, then the system is simple to operate, but cleaning performance becomes unsatisfactory for areas with varying usage patterns
Solution Approach 1:
The cleaning system transitions from static default parameters to dynamic adaptive parameters. The robot continuously measures dust accumulation in different areas and adjusts cleaning frequency and intensity in real-time based on measured dust levels and calculated accumulation rates, allowing each area to receive customized cleaning treatment
Solution Approach 2:
The system automatically modifies cleaning parameters such as cleaning frequency, suction power, and brush rotation speed based on measured dust accumulation data. Parameters are adjusted dynamically for each area based on dust accumulation rate calculations, transforming fixed default settings into adaptive variable parameters
3Reliability
If cleaning frequency is increased for all areas, then dust accumulation is controlled effectively, but energy consumption and cleaning time increase
Solution Approach 1:
The system applies different cleaning frequencies and intensities to different areas based on local dust accumulation characteristics. High-traffic areas with faster dust accumulation receive more frequent and intensive cleaning, while low-traffic areas receive less frequent cleaning, optimizing energy usage according to local needs rather than applying uniform cleaning across all areas
Solution Approach 2:
The robot applies cleaning effort selectively based on measured dust levels. Instead of continuously cleaning all areas at maximum intensity, the system adjusts cleaning frequency and intensity to match actual dust accumulation rates, applying partial cleaning action where sufficient and excessive cleaning action only where necessary to control dust effectively
Data Source
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AI summary
The present invention relates to a method for controlling an autonomous cleaning robot (2) comprising the steps of measuring an amount of dust sucked up by the autonomous cleaning robot (2) during each cleaning operation of an area to be cleaned; estimating a time interval since the last cleaning operation of the area to be cleaned so that the amount of dust accumulated in the area to be cleaned since the last cleaning operation of the area to be cleaned reaches a predetermined threshold value, the estimated time interval being calculated according to the calculated dust accumulation rate and the predetermined threshold value; and automatically adjusting a cleaning frequency of the area to be cleaned according to the estimated time interval.