Pool Robot Water Surface Mapping for Accurate Cleaning Coverage
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Solution Overview
Problem
Current swimming pool robots lack an intelligent water surface mapping capability, leading to low cleaning efficiency, poor coverage, and user experience due to inaccurate sensor measurements influenced by the environment, resulting in incomplete or erroneous maps.
Innovation Solution
A method and apparatus for creating a swimming-pool water surface map using a laser radar or image sensor to acquire position and boundary information, calibrating with an IMU, and generating a precise water surface map, including closed and non-closed boundary regions, and integrating obstacle information for intelligent cleaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If random walking mode is adopted for water surface cleaning, then the robot can clean the water surface, but cleaning efficiency is low and coverage is poor
Solution Approach 1:
The patent applies preliminary action by creating a water surface map before cleaning operations. The robot performs mapping tasks first to establish environmental information, then uses this pre-acquired spatial data to plan and execute efficient cleaning paths, avoiding random movement and improving both cleaning efficiency and coverage.
Solution Approach 2:
The patent implements feedback mechanisms where the robot continuously updates and refines the water surface map based on sensor measurements. This feedback loop allows the robot to adjust its cleaning path based on accurate environmental information, improving cleaning coverage and efficiency by avoiding redundant movements and ensuring complete coverage.
2Measurement precision
If sensor measurements are used for mapping, then positioning information can be obtained, but measurements are inaccurate and prone to environmental influence
Solution Approach 1:
The patent merges multiple sensor measurements and data sources to create a comprehensive water surface map. By combining information from different sensors and multiple measurement points, the system compensates for individual sensor inaccuracies and environmental influences, improving both positioning accuracy and mapping reliability.
Solution Approach 2:
The patent uses the water surface map as an intermediary structure that processes and integrates raw sensor measurements. This intermediate representation filters out environmental noise and measurement errors, converting unreliable individual measurements into reliable positional and spatial information for navigation and cleaning operations.
3Extent of automation
If no water surface map is created, then the system is simpler, but intelligent cleaning and positioning cannot be achieved
Solution Approach 1:
The patent applies preliminary action by creating a water surface map before cleaning operations. The robot performs mapping tasks first to establish environmental information, then uses this pre-acquired spatial data to plan and execute efficient cleaning paths, avoiding random movement and improving both cleaning efficiency and coverage.
Solution Approach 2:
The robot performs self-mapping and self-positioning using its own sensors and processing capabilities. The system autonomously creates and updates the water surface map without external intervention, enabling intelligent navigation and cleaning operations while maintaining manageable system complexity through self-sufficient operation.
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 autonomous water surface mapping, improving cleaning efficiency and user experience by providing a reliable water surface map for swimming pool robots, enhancing precision and accuracy through laser radar and image sensor technology.
Implementation Method 1
acquiring swimming pool boundary information collected by the swimming pool robot through a laser radar
Implementation Method 2
acquiring swimming pool boundary information collected by the swimming pool robot through a laser radar
Implementation Method 3
acquiring swimming pool boundary information collected by the swimming pool robot through an image sensor
Implementation Method 4
The position information or the swimming pool boundary information is calibrated by an IMU on the swimming pool robot
Data Source
AI summary
A swimming-pool water surface map creating method is provided. In the method, an instruction of creating a water surface map is generated; based on the instruction, position information of a swimming pool robot floating on a water surface is acquired; swimming pool boundary information collected by the swimming pool robot is acquired through a laser radar or an image sensor; and the water surface map of a swimming pool is generated based on the position information and the swimming pool boundary information, thus providing convenience for water surface working of a swimming pool cleaning device, improving a working efficiency of the swimming pool cleaning device, and improving user experience.