Making sense of sensor data in practical wireless sensor network designs
Making sense of sensor data in practical wireless sensor network designs
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DOI：
10.1109/iccnc.2012.6167407
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发表时间：
2012-03
期刊：
影响因子：
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通讯作者：
Lamling Venus Shum;S. Hailes;Graeme McPhillips;L. Cheng
中科院分区：
文献类型：
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作者：
Lamling Venus Shum;S. Hailes;Graeme McPhillips;L. Cheng
在与环境科学家合作的项目中，需要具有严格精度要求的细粒度街头一氧化碳数据。在本项目中，选择的电化学传感器和传感器模块针对浓度和温度进行了校准，这是影响校准曲线基线的主要环境因素。研究发现，还有其他环境因素，包括湿度、空气流速和其他气体，可能会导致测量不准确，应在系统设计中加以解决。传感器的灵敏度也会随着时间的推移而降低，这意味着在长时间部署期间需要重新校准传感器。本文报道了从实际实验中观察到的结果。
Fine-grained street-level Carbon Monoxide data with stringent accuracy requirements are required in a collaborative project with environmental scientists. In this project, the chosen electrochemical sensors and the sensor modules were calibrated against concentration and temperature, which is the major environmental factor that affects the baseline of the calibration curve. It was found that there are other environmental factors, including humidity, air flow rate and other gases particular to this application that may contribute to the inaccuracy in the measurements and should be addressed in the system design. The sensitivity of the sensors also decreases with time, which means that sensors are required to be re-calibrated during a long deployment. Observations from real experiments are reported in this paper.