Method, apparatus, and system for inferring contaminated air exposure level based on operation information of wearable device or portable air purifier
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Solution Overview
Problem
Users are unable to accurately determine their exposure level to contaminated air during outdoor activities, as conventional air purifiers rely on weather information rather than real-time air quality data, making it difficult to confirm the severity of air contamination exposure.
Innovation Solution
A method and system using a wearable device or portable air purifier with AI technology to infer contaminated air exposure levels based on fine dust concentration data, notifying users and interlocking with clothing and air purification devices when exposure exceeds a predetermined threshold, utilizing a 5G network and machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional air purifiers use weather information to control air purification, then the system is simple to operate, but the user cannot accurately determine their exposure level to contaminated air
Solution Approach 1:
The system divides the air purification function into two parts: a portable air purifier that measures real-time air quality and wears by the user, and a home air purifier that executes purification based on data transmitted from the portable device. This segmentation allows precise exposure measurement in the portable unit while keeping the home unit simple to operate.
Solution Approach 2:
A server acts as an intermediary between the portable air purifier and the home air purifier. The portable device transmits air quality data to the server, which then sends control signals to the home purifier. This intermediary enables accurate exposure tracking without requiring complex direct communication between devices.
2Measurement precision
If real-time air quality monitoring is implemented, then exposure level accuracy improves, but energy consumption increases
Solution Approach 1:
The portable air purifier performs air quality measurements periodically rather than continuously, transmitting data to the server at intervals. This periodic operation maintains measurement accuracy while significantly reducing energy consumption compared to continuous monitoring.
3Ease of operation
If multiple devices are interconnected for automated control, then convenience improves, but device complexity increases
Solution Approach 1:
The server provides multiple functions: receiving air quality data from portable devices, processing exposure level calculations, storing user profiles, and controlling home air purifiers. This multi-functional approach consolidates complexity into a single central system rather than requiring complex peer-to-peer device communication.
Data Source
AI summary
A contaminated air exposure level inferring apparatus may include a receiver for receiving a fine dust concentration measured from a fine dust sensor of the wearable device or the portable air purifier, an exposure level classifier for inferring a contaminated air exposure level of a user holding the wearable device or the portable air purifier based on the measured fine dust concentration, and a communicator for communicating with a server. The server may include an artificial intelligence model learner for generating an artificial intelligence model that has learned data on the measured fine dust concentration through a deep neural network. According to the present disclosure, it is possible to infer the contaminated air exposure level of the user of the wearable device or the portable air purifier by using artificial intelligence (AI), a contaminated air exposure level inferring technology based on the artificial intelligence, and a 5G network.