Cleaning system and cleaning method
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Solution Overview
Problem
Existing vacuuming cleaner robots lack a mechanism to confirm and report the cleanness condition, making it difficult to adjust the cleaning strategy accordingly, and they struggle to accurately determine if the filter needs to be checked due to small variations in suction force caused by filter cleanliness.
Innovation Solution
A cleaning system and method that includes a main body with an air suctioning device, a light source, an optical sensor, a memory, and a processing unit. The system captures successive image frames to identify dust particles, determines their features, and adjusts the cleaning strategy based on the cleanness condition, including determining if the filter needs to be replaced.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If rotation speed of motor is used to determine whether obstacles block air inlet and outlet, then the suction force detection is simplified, but it is difficult to accurately determine whether filter needs to be checked due to small variation in suction force
Solution Approach 1:
The patent replaces the mechanical detection method (monitoring motor rotation speed to infer suction force changes) with an optical detection system. The optical sensor captures images of dust particles in the air flow, and the processing unit analyzes particle features to directly measure cleanness conditions, providing precise detection without relying on indirect mechanical measurements.
2Device complexity
If no confirmation and reporting mechanism is provided for user, then the system structure remains simple, but cleaning strategy cannot be adjusted according to dust status
Solution Approach 1:
The patent implements a feedback mechanism where the optical sensor continuously monitors dust particle conditions, the processing unit analyzes the particle features, and the system adjusts the cleaning strategy accordingly. The results are reported to the user through a user interface, enabling real-time adaptation of cleaning operations based on actual dust status while maintaining relatively simple system architecture.
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
The system effectively identifies the cleanness condition by analyzing dust particle features from image frames, allowing for real-time adjustment of the cleaning strategy and providing users with cleanness information through a cleanness map, thereby improving the efficiency and effectiveness of the cleaning process.
Implementation Method 1
The optical sensor is configured to capture a plurality of successive image frames from the air flow passage
Implementation Method 2
The light source is configured to emit light to the air flow passage
Data Source
AI summary
A cleaning system and a cleaning method are provided. The cleaning system includes a main body, an air suctioning device, a light source, an optical sensor, a memory and a processing unit. The air suctioning device includes an air flow passage and a fan-motor assembly that is disposed in the air flow passage and generates a suction force to suction outside air through the air flow passage. The light source emit light to the air flow passage. The optical sensor captures a plurality of successive image frames from the air flow passage. The processing unit is configured to: obtain first and second image frames from the successive image frames; compare the first image frame with the second image frame to identify dust particles; obtain a particle feature of the dust particles; and determine a current cleanness condition according to the particle feature.