Method for multipoint purification by robotic air purifier
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Solution Overview
Problem
Conventional air purifiers are ineffective in uniformly purifying indoor air due to their fixed placement, leading to poor air quality at points away from the device and inability to target specific pollution sources.
Innovation Solution
A robotic air purifier method that establishes a coordinate map of the area, identifies and prioritizes pollution sources, and performs targeted purification by moving to and treating each source in descending order of pollution value, with optional secondary purification and adaptive threshold updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a conventional air purifier is placed in a fixed point, then the air surrounding the air purifier is circulated smoothly and the air purifying effect is significant, but it takes a long time to evenly purify the indoor air since the air purifying effect at the place away from the air purifier is relatively poor
Solution Approach 1:
The air purifier is transformed from a static fixed-point device to a mobile robotic system that can autonomously navigate and move to different locations. The robot uses sensors to detect pollution levels and dynamically adjusts its position to target high-pollution areas, thereby reducing the overall time required to purify the entire indoor space while maintaining effective purification at each location.
Solution Approach 2:
The robotic air purifier performs preliminary mapping of the indoor environment and identifies pollution sources before beginning purification. By pre-planning its purification path and prioritizing high-pollution areas, the system optimizes its movement and purification sequence, reducing the total time needed to achieve uniform air quality throughout the space.
2Loss of time
If a self-moving air purifier moves in a predetermined region, then the region could be purified more rapidly and uniformly, but the air purifier cannot reflect the situations of the air at different points in the house, resulting in an untargeted indoor air purification
Solution Approach 1:
The robotic air purifier is equipped with air quality sensors that continuously monitor and detect pollution levels at different locations. The system uses this real-time feedback information to identify high-pollution areas and dynamically adjusts its purification strategy, moving to and spending more time at locations with the highest pollution levels. This feedback mechanism ensures targeted purification while maintaining efficient use of time.
Solution Approach 2:
The robotic air purifier autonomously performs environmental assessment, pollution source identification, and purification task allocation without human intervention. The system independently navigates to pollution sources, adjusts its purification intensity based on detected air quality, and optimizes its own operation path, thereby eliminating information loss while maintaining rapid purification.
3Device complexity
If conventional air purifiers are placed in a fixed point, then the device structure is simple, but the inability to target specific pollution sources results in inefficient purification of polluted areas
Solution Approach 1:
The robotic air purifier integrates multiple functions into a single device: environmental mapping, air quality sensing, autonomous navigation, pollution source identification, and air purification. This multi-functional design allows the system to maintain relatively simple individual components while achieving high purification effectiveness through coordinated operation of all functions.
Solution Approach 2:
The system dynamically changes operational parameters such as movement speed, purification intensity, and patrol path based on real-time pollution detection. By adjusting these parameters according to the severity and location of pollution sources, the system achieves high purification effectiveness without requiring overly complex device structures, as the intelligence is embedded in the control logic rather than hardware complexity.
Data Source
AI summary
A method for multipoint purification by a robotic air purifier, comprising the following steps: S1: establishing a coordinate map of an area to be purified; S2: the robotic air purifier moves within the area to be purified according to a preconfigured movement model, measuring air quality, remembering as level-1 pollution sources those points where a pollution value exceeds a preset threshold, and marking the coordinates of said points on the coordinate map; S3: when having completed its movement over the area to be purified, the robotic air purifier moves to each level-1 pollution source point and performs an initial purification process, while at the same time measuring air quality, continuing in this way until the air quality at all said level-1 pollution sources complies with requirements.