演示摘要:基于mems的气流传感器网络

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks Pub Date : 2014-04-15 DOI:10.1109/IPSN.2014.6846783

H. Lim, Fei Xue, Shuwei Liu, S. Pan, J. Miao, L. Norford

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引用次数: 1

摘要

在高空间和时间分辨率下精确测量气流模式对建筑设计和运行具有重要意义。微机电系统(MEMS)技术可用于开发小型化气流传感器，该传感器能够以高时间分辨率检测气流速度和方向。无线传感器网络被广泛应用于高空间分辨率的大规模监测。因此，MEMS和WSN技术的集成使得在高空间和时间分辨率下测量气流模式成为可能。在这项工作中，我们开发了一个基于mems的原型气流传感器网络，并将其部署在建筑环境中。

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Demonstration abstract: A MEMS-based airflow sensor network

The accurate measurement of airflow patterns at high spatial and temporal resolutions is of great importance for building design and operation. Microelectromechanical Systems (MEMS) technology can be used to develop miniaturized airflow sensors capable of detecting both airflow speed and direction at high temporal resolution. Wireless sensor networks (WSNs) are used extensively for large-scale monitoring at high spatial resolution. Thus, the integration of MEMS and WSN technologies enables the measurement of airflow patterns at high spatial and temporal resolution. In this work, we developed a prototype MEMS-based airflow sensor network and deployed it in a building environment.

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IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks

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