Design and Implementation of Real time Detection System for Indoor Air Quality under Multiple Environmental Temperature Conditions

Abstract

This study aims to design and implement a real-time monitoring system for in car air quality suitable for multiple environmental temperature conditions, in order to improve the level of air quality monitoring in driving environments. the basic principles of air quality detection and the impact of different environmental temperatures on the characteristics of air pollutants in vehicles were analyzed, and the hardware selection and design considerations of the system were determined. On this basis, an analysis method for the impact of temperature on the accuracy of air quality sensors was proposed, and algorithms for data acquisition, real-time processing, temperature compensation, and multi-sensor data fusion were designed. The hardware implementation of the system includes sensor modules, data processing modules, and communication modules, while the software architecture covers real-time data processing and communication protocol design. The accuracy and stability of the system were verified through experiments under multiple environmental temperature conditions. The experimental results show that the system can effectively monitor the air quality inside the vehicle and accurately compensate for the concentration of pollutants under different temperature conditions, with good application prospects. This study provides a technical foundation and reference for further optimization and promotion of the in car air quality monitoring system.