Vehicle-Based Air Quality Sensing for Dense Urban Coverage
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Solution Overview
Problem
Current air quality monitoring systems are inaccurate due to sparse distribution of fixed monitoring points, leading to increased costs and challenges in determining optimal layouts for additional points, which results in air pollution indices that do not accurately reflect people's experiences.
Innovation Solution
An air quality detection system based on the Internet of Vehicles, where each vehicle equipped with an air quality detection device serves as an active monitoring point, transmitting data to a server for comprehensive and accurate air quality data collection, utilizing existing vehicle infrastructure to reduce costs and increase coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed monitoring points are increased in number, then air quality data coverage is improved, but system cost increases significantly
Solution Approach 1:
The patent applies multi-functionality by enabling vehicles to serve dual purposes: their original transportation function plus an additional air quality monitoring function. By equipping vehicles with air quality sensors, the system transforms ordinary vehicles into mobile monitoring stations, eliminating the need for dedicated fixed monitoring infrastructure and significantly reducing system costs while expanding coverage.
Solution Approach 2:
The patent implements dynamics by transitioning from static fixed monitoring points to dynamic mobile monitoring points. Vehicles continuously move through different areas, providing real-time air quality data from multiple locations. This dynamic approach allows comprehensive spatial coverage without requiring a dense network of fixed stations, thereby reducing overall system cost while maintaining or improving data coverage quality.
2Measurement precision
If fixed monitoring points are increased in number, then air quality data accuracy is improved, but device complexity increases
Solution Approach 1:
The patent reduces device complexity by making existing vehicles multi-functional. Instead of adding complex dedicated monitoring infrastructure, the system integrates simple air quality sensors into vehicles that already have communication and positioning capabilities. This approach achieves improved data accuracy through multiple measurement points while avoiding the complexity of managing a dense network of specialized fixed monitoring devices.
3Measurement precision
If more monitoring points are deployed, then air quality representation accuracy is improved, but difficulty in determining optimal layout increases
Solution Approach 1:
The patent eliminates layout planning complexity by replacing static monitoring point placement with dynamic mobile monitoring. Vehicles naturally traverse various routes and areas based on their operational patterns, automatically providing spatially distributed air quality data. This dynamic approach achieves comprehensive area representation without requiring complex mathematical modeling or optimization studies to determine optimal fixed point locations.
Data Source
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AI summary
An internet of vehicles-based air quality detecting system, belonging to the field of air quality detection. The system comprises an air quality detecting device (100) arranged in each vehicle (1) of a plurality of vehicles (1), the air quality detecting device (100) comprising: an air quality detecting unit (10), used for acquiring air quality data of the outer part of the vehicle (1) in a current position where the corresponding vehicle (1) is located, and a data sending unit (20), used for sending the air quality data to a remote server (200). The internet of vehicles-based air quality detecting system uses each vehicle (1) accessed to an internet of vehicles as a movable air quality monitoring point, thereby acquiring air quality data of the outer parts of the vehicles (1) in current positions where all vehicles (1) are located; and there may be a large quantity of the vehicles (1) accessed to the internet of vehicles, and the sampling sample quantity can be relatively comprehensive, thereby being able to acquire accurate air quality data, and making air quality detection more accurate.