A self-powered adaptive wireless sensor network for wastewater treatment plants

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) Pub Date : 2011-03-21 DOI:10.1109/PERCOMW.2011.5766905

Yu Chen, C. Twigg, O. Sadik, Shiqiong Tong

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引用次数: 18

Abstract

Efficient monitoring and control of wastewater treatment plants (WWTPs) has become an important public issue as the cost of electricity continues to grow and the quality requirements of processed water tightens. However, the development, deployment, and maintenance of highly efficient monitors and controllers for wastewater processing tanks are significantly challenging. Self-powered, wireless sensor networks (WSNs) are an ideal candidate for this application, since their deployment would have the least impact on the existing infrastructure. A novel wireless sensor network is presented in this paper that integrates microbial fuel cells (MFCs), field-programmable analog arrays (FPAAs), and low-power networking protocols into the sensors to make them self-powered, highly flexible, and adaptive. MFCs convert chemicals in the waste water into electrical energy, while FPAAs provide a means of performing ultra-low-power, real-time, and adaptive processing of the sensor signals. This design achieves sustainable monitoring and control of wastewater treatment with minimal impact to existing infrastructure.

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用于污水处理厂的自供电自适应无线传感器网络

随着电力成本的持续增长和对处理水的质量要求的提高，对污水处理厂的有效监测和控制已成为一个重要的公共问题。然而，开发、部署和维护高效的废水处理罐监视器和控制器是一个巨大的挑战。自供电无线传感器网络(wsn)是该应用的理想选择，因为它们的部署对现有基础设施的影响最小。本文提出了一种新型无线传感器网络，该网络将微生物燃料电池(mfc)、现场可编程模拟阵列(FPAAs)和低功耗网络协议集成到传感器中，使其具有自供电、高度灵活和自适应能力。mfc将废水中的化学物质转化为电能，而fpaa提供了对传感器信号进行超低功耗、实时和自适应处理的手段。该设计在对现有基础设施影响最小的情况下实现了废水处理的可持续监测和控制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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