Air cleaning system and method for controlling the same
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Solution Overview
Problem
In complex indoor spaces, multiple air cleaners installed to improve air quality often experience measurement noise and reduced sensor lifetime due to independent operation of dust sensors, leading to inaccurate measurements and decreased air cleaning efficiency.
Innovation Solution
An air cleaning system that links dust sensors across multiple air cleaners, allowing for the selection of a master sensor to operate all units, reducing noise and power consumption, and using AI to predict dust events and manage faulty sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple dust sensors are operated simultaneously in multiple air cleaners, then air quality monitoring coverage is improved, but measurement noise increases and sensor lifetime decreases
Solution Approach 1:
The patent combines multiple dust sensors into a networked system where sensors in different air cleaners communicate with each other. Instead of operating independently, the sensors are merged into a coordinated network that shares measurement data and control decisions, thereby reducing redundant measurements and associated noise while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The patent implements periodic operation of dust sensors based on predicted dust events. Rather than continuous operation, sensors are activated periodically according to AI predictions of dust occurrence, which reduces overall sensor usage time and associated noise while maintaining effective air quality monitoring during critical periods.
2Reliability
If multiple dust sensors operate continuously, then real-time air quality monitoring is improved, but power consumption increases and sensor lifetime decreases
Solution Approach 1:
The system uses AI-based dust event predictions to determine when sensors need to be active. Sensors operate periodically based on predicted dust events rather than continuously, significantly reducing power consumption while maintaining reliable monitoring during periods when dust is likely to occur.
Solution Approach 2:
The patent implements a feedback mechanism where sensor data and environmental information are continuously analyzed by an AI system to predict future dust events. This feedback loop allows the system to optimize sensor operation schedules, activating sensors only when needed based on predicted conditions, thereby reducing overall power consumption while maintaining monitoring reliability.
3Device complexity
If independent dust sensor operation is used in multiple air cleaners, then system simplicity is maintained, but measurement accuracy decreases due to noise and error rates
Solution Approach 1:
The patent merges multiple independent dust sensors into a networked system that shares data and control functions. This combination allows the system to maintain the simplicity of individual air cleaner units while achieving improved measurement accuracy through coordinated operation and data sharing across the network.
Solution Approach 2:
The patent creates a universal control system that can manage multiple air cleaners and dust sensors through a common AI-based platform. This universal approach allows different air cleaners to operate independently physically while being coordinated logically, maintaining operational simplicity while improving measurement accuracy through multi-functional data processing and noise reduction algorithms.
Data Source
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AI summary
An air cleaning system having at least one dust sensor and a method for controlling the air cleaning system may improve accuracy of dust sensors through linkage control of the dust sensors, and may normally operate a faulty air cleaner using dust sensors of the remaining communicating air cleaners other than the faulty air cleaner even when any one of the dust sensors fails to operate. The air cleaning system may select a master dust sensor through linkage control of the dust sensors, and may operate the plurality of air cleaners only using sensor information of the master dust sensor. Therefore, the air cleaning system may stop operation of the remaining dust sensors other than the master dust sensor, may reduce measurement noise produced by the dust sensors and power consumption, and may increase a lifetime of the dust sensors.