Robot Cleaner Virtual Area Designation for Deep Wet Mop Cleaning
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Solution Overview
Problem
Conventional robot cleaners lack the ability to designate and effectively clean specific areas, particularly for deep wet mop cleaning, limiting their effectiveness in areas requiring intense cleaning such as those with liquid spills.
Innovation Solution
A robot cleaner system that allows users to designate arbitrary cleaning areas and driving patterns through a terminal, incorporating a body with a battery, water container, and rotatable mops, and includes a control system to navigate and clean within these designated areas based on user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual wall is set on the map to restrict the robot cleaner's access, then the robot cleaner can avoid restricted areas, but it is impossible to set a specific area for deep cleaning
Solution Approach 1:
The system dynamically switches between different driving patterns (standard cleaning pattern vs. deep cleaning pattern) based on the designated area. When a deep cleaning area is designated, the robot automatically adopts a different driving behavior with increased friction force and prolonged停留 time, allowing adaptive response to different cleaning requirements without hardware changes
Solution Approach 2:
The control system changes operational parameters (friction force, driving speed,停留 time) based on the cleaning mode. For deep cleaning areas, the robot increases friction force between the mop and floor, adjusts driving speed, and prolongs停留 time to enhance cleaning effectiveness, while maintaining standard parameters for regular areas
2Productivity
If the robot cleaner drives in a standard cleaning pattern, then it can cover large areas efficiently, but sufficient deep cleaning cannot be performed in specific areas requiring intense cleaning
Solution Approach 1:
The robot applies excessive action (increased friction force, prolonged停留 time, repeated passing) specifically in designated deep cleaning areas, while maintaining standard cleaning behavior in other areas. This partial application of enhanced cleaning actions ensures deep cleaning effectiveness where needed without sacrificing overall cleaning efficiency
Solution Approach 2:
The system performs preliminary designation of deep cleaning areas before the actual cleaning process begins. Users can pre-identify and mark areas requiring deep cleaning (such as locations with liquid spills), allowing the robot to prepare appropriate cleaning parameters and ensure thorough cleaning when it reaches those areas
3Reliability
If the friction force between the mop and floor surface is increased for stronger wiping, then deep cleaning effectiveness is improved, but the robot cleaner cannot maintain this high friction force across all cleaning areas
Solution Approach 1:
The system applies different friction force levels to different areas: high friction force is applied only in designated deep cleaning areas where it is needed, while standard friction force is used in regular cleaning areas. This localized application of high friction force improves deep cleaning effectiveness without unnecessarily increasing cleaning time across the entire floor
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
Enables intensive cleaning of user-defined areas with the robot cleaner, allowing for precise cleaning patterns and ensuring thorough coverage of specific regions.
Implementation Method 1
configured to wipe the floor surface by contacting the floor surface while driving... configured to drive in a specific direction using a friction force by a plurality of mops rotating on and contacting the floor surface... the greater the frictional force between the mop and the floor surface, the stronger the mop can wipe the floor surface
Data Source
AI summary
The present invention relates to a robot cleaner, a control system of a robot cleaner and a control method of a robot cleaner, and the invention includes a robot cleaner that stores a map including information on a drivable area of a cleaning area and drives in the cleaning area and a terminal that inputs a cleaning command to the robot cleaner, the terminal setting a virtual designated area on the map in response to a user input, the robot cleaner moving to the designated area and driving within the designated area when the designated area is set from the terminal, and thus, the invention has the effect of intensively cleaning the designated area arbitrarily designated by a user.