Real Time Wireless Sensor Network (WSN) based Indoor Air Quality Monitoring System

被引：22

作者：

Salman, N. ^{[1
]}

Kemp, Andrew H. ^{[2
]}

Khan, A. ^{[1
]}

Noakes, C. J. ^{[1
]}

机构：

[1] Univ Leeds, Sch Civil Engn, Leeds, W Yorkshire, England

[2] Univ Leeds, Sch Elect & Elect Engn, Leeds, W Yorkshire, England

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 24期

基金：

英国工程与自然科学研究理事会;

关键词：

Wireless sensor network; spatial prediction; indoor air quality;

D O I：

10.1016/j.ifacol.2019.12.430

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the development and implementation of a number of wirelessly connected sensor units to monitor indoor air quality parameters for real time visualisation and recording of the measured data. This is achieved by utilising infrared based sensor technology that measures carbon dioxide (CO2), temperature and humidity, low power wireless networking and Geo-statistic methods for spatial prediction. The platform consists an MBED LPC 1768 development board that retrieves data from the sensor unit and transmits it wirelessly using a ZigBee module to a central base station where it is analysed and stored. Spatial prediction is also performed in real time on live data. Initial measurements are performed in an office environment.

引用

页码：324 / 327

页数：4

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