Air Purifier Filter Management Using Particle-Size Dust Sensing
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Solution Overview
Problem
Conventional air purifiers inaccurately determine filter replacement timing based on indirect indicators such as elapsed time or odors, leading to overuse or unnecessary replacement of filters, and fail to provide separate timing recommendations for different types of filters.
Innovation Solution
An air purifier system that uses a dust sensor to measure the number concentration of particles by size, combined with operation information of the blower fan, to calculate cumulative and real-time dust amounts, enabling precise filter management information for each filter type, including decision units to determine cleaning or replacement needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If filter replacement timing is determined based on indirect indicators such as elapsed time or odors, then the system is simple to operate, but the measurement precision of filter condition assessment deteriorates
Solution Approach 1:
The patent replaces indirect mechanical/time-based indicators with direct optical sensing. The dust sensor uses light scattering principles to directly measure particle concentration and size distribution, substituting the indirect time/odor-based assessment mechanism with a direct physical measurement system that provides accurate filter condition data.
Solution Approach 2:
The patent introduces dust particle concentration and size distribution as intermediary measurement parameters between the filter condition and the replacement decision. Instead of directly measuring filter clogging or using time as a proxy, the system measures the concentration and size of dust particles in the air, which directly reflects the filter's loading condition and effectiveness.
2Device complexity
If filter replacement timing is determined based on indirect indicators such as elapsed time or odors, then the device complexity is low, but the reliability of filter status determination deteriorates
Solution Approach 1:
The patent replaces simple time-based or odor-based mechanical indicators with an optical sensing system. The dust sensor uses light scattering to directly measure particle characteristics, substituting unreliable indirect indicators with a reliable physical measurement system that provides accurate and objective filter condition assessment.
Solution Approach 2:
The patent implements a feedback mechanism where the dust sensor continuously monitors particle concentration and size distribution, and this information is fed back to the control unit to dynamically adjust filter replacement timing. The system provides feedback-based control rather than static time-based scheduling, improving reliability by adapting to actual air quality conditions and filter loading rates.
3Device complexity
If a single filter replacement timing is provided for all filters, then the device complexity is low, but the adaptability to different filter types and conditions deteriorates
Solution Approach 1:
The patent segments the filter system into multiple independent assessment units. Instead of treating all filters as a single unit with one replacement time, the system divides the filter assembly into individual filter elements (e.g., pre-filter, HEPA filter, carbon filter) and assesses each separately based on its specific dust loading characteristics, allowing differentiated replacement timing for each filter type.
Solution Approach 2:
The patent applies local quality assessment to different filter positions and types. Each filter element is evaluated based on its specific function, location in the air flow path, and accumulated dust characteristics. The control unit provides localized management information for each filter, enabling tailored replacement decisions that match the actual condition and importance of each specific filter element.
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
Provides accurate and timely information for filter replacement and cleaning, considering the actual air pollution level and filter condition, ensuring optimal performance and extending filter lifespan.
Implementation Method 1
The dust sensor unit is configured to measure a number concentration by particle size in the air
Data Source
AI summary
In an air purifier and a filter state decision method of the air purifier, the air purifier includes an intake, a blower fan, a filter unit, an outlet, a dust sensor and a control unit. An air is drawn in through the intake. The blower fan is configured to provide a blowing force so that the air is drawn into the intake. The filter unit is configured to purify the air drawn through the intake. A purified air passing through the filter unit is discharged through the outlet. The dust sensor unit is configured to measure a number concentration by particle size in the air. The control unit is configured to generate filter management information of the filter unit based on the number concentration by particle size obtained from the dust sensor unit.