Energy harvesting algorithms for wireless multi-sensor gas platform

D. Spirjakin, A. Baranov, S. Akbari
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引用次数: 1

Abstract

Air quality control is a monitoring task of high priority in the scope of Smart City and Smart Home applications. In fact, a number of sensors are required to successfully detect the leaks of various gases and their different concentrations. Using wireless sensor platform for these purpose it's necessary to think a lot about appropriate power sources and power management. In this work, we present autonomous multi-sensor wireless platform power supply algorithms. The platform uses alternative power sources (solar panel and wind generator) as main power supply and lithium battery as reserve one. These power supply components are managed to maintain the most efficient using of power sources during whole working cycle.
无线多传感器气体平台能量收集算法
空气质量控制是智能城市和智能家居应用范围内的一项高度优先的监测任务。事实上,需要许多传感器才能成功地检测到各种气体及其不同浓度的泄漏。利用无线传感器平台实现这些目的,有必要考虑适当的电源和电源管理。在这项工作中,我们提出了自主多传感器无线平台供电算法。该平台使用替代电源(太阳能电池板和风力发电机)作为主电源,锂电池作为备用电源。这些电源组件在整个工作周期内保持最有效的电源使用。
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