Abstract

Indoor air quality monitoring is of great importance to human health as people typically spend more than 90% of their time in indoor environments. An indoor air quality detector (IAQD) enabling measurement of CO2, PM2.5, temperature, humidity, has been designed and tested in residential buildings based on Internet of Things (IoT). The hardware and software design of IAQD are described in detail, and seven IAQDs with Zigbee wireless module embedded were deployed in the target building for a continuous period of one month in winter. The gateway collects sensor data from each IAQD in turn at an interval of two minutes, and transmits data to server in the cloud via GPRS/4G. The authorized users can access cloud platform via mobile apps or the Web browser. Monitoring data analysis results reveal that the maximum PM2.5 concentrations is 10 times than usual during cooking period, and CO2 concentrations with the door closed will rise to 2500 ppm compared to the door opened at night, which threatens the health of occupants.

Highlights

  • EXPERIMENTAL RESULTS AND ANALYSIS we will focus on the evaluation of performances of the proposed indoor air quality detector (IAQD) system

  • Each IAQD has a Zigbee communication module, and the coordinator of WSN is located in the living room

  • The 1#, 2#, 3#, 6# IAQD are on the bedside cabinet, about 70cm above floor. 5# is on the TV cabinet, about 40 cm above floor, and the coordinator is located in the TV cabinet

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Summary

INTRODUCTION

Statistical studies showed that people spend more than 90% of their time in indoor environment [1], [2], and indoor air quality (IAQ) is one of the most important factors affecting human health. Temporary or long-term staying indoor exposure with poor air quality can lead to rapid or chronic illness. With the development of Internet of Things (IoT), sensor, and electronic technologies, lots of portable real-time air quality monitoring detectors are proposed [4], [7]–[13]. We design and implement an integrated indoor air quality detector (IAQD) based on IoT technology.

RELATED WORK
EXPERIMENTAL RESULTS AND ANALYSIS
CONCLUSION
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