On the Development of a Sensor Module for Real-Time Pollution Monitoring

On the Development of a Sensor Module for Real-Time Pollution Monitoring
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DOI:
10.1109/icisa.2011.5772355
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发表时间:
2011-04
期刊:
2011 International Conference on Information Science and Applications
影响因子:
--
通讯作者:
Lamling Venus Shum;P. Rajalakshmi;A. Afonja;Graeme McPhillips;R. Binions;L. Cheng;S. Hailes
Lamling Venus Shum;P. Rajalakshmi;A. Afonja;Graeme McPhillips;R. Binions;L. Cheng;S. Hailes
中科院分区:
其他
文献类型:
--
作者:
Lamling Venus Shum;P. Rajalakshmi;A. Afonja;Graeme McPhillips;R. Binions;L. Cheng;S. Hailes

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在用于环境污染监测的无线传感器网络(WSN)应用中,该应用涉及在印度和英国部署大量(即约100个)传感器以获取细粒度污染数据,气体传感器的选择和传感器测量对地面真实情况的有效性对系统的成功至关重要。电化学和固态气体传感器是低成本的小型传感器,传统上用于检测车辆的废气排放,因此,它们专门设计用于测量比我们测量环境高得多的气体浓度。在本文中,我们通过对市面上不同类型的气体传感器的文献比较,评估了气体传感器在使用普遍传感器技术的污染监测项目中的使用;并讨论了一组选定的氧气(O2)、二氧化碳(CO2)和一氧化碳(CO)传感器的校准过程。结果表明,电化学CO传感器与我们感兴趣的浓度范围(0-20ppm)呈线性关系。本文为有兴趣实现WSN气体污染监测系统的实际开发和部署的研究社区提供了关于传感器选择和校准的深入知识。
In a Wireless Sensor Network (WSN) application for ambient pollution monitoring, which involves the deployment of a large number (i.e. ~100) of sensors in India and UK to obtain fine-grain pollution data, the selection of gas sensors and the validity of sensor measurements against ground truth are vitally important to the success of the system. Electrochemical and solid state gas sensors are low- cost, small sensors that are traditionally used for examining exhaust emissions from vehicles, and hence, they are specifically designed to measure a much higher gas concentration than in our measured environment. In this paper, we evaluate the use of gas sensors in a pollution monitoring project using pervasive sensor technology by literature comparison of the different types of gas sensors available commercially; and a discussion on the calibration process of a set of selected Oxygen (O2), Carbon Dioxide (CO2) and Carbon Monoxide (CO) sensors. The results show that the electrochemical CO sensors exhibit linearity against the range of concentrations that we are interested in (0-20ppm). This paper presents in-depth knowledge on sensor selection and calibration against the ground truth to the research community interested in enabling practical development and deployment of WSN gas pollution monitoring systems.