A Study of the Performance of Solar Cell Powered IoT-based Air Pollution Sensor Node in Indoor Environment

Moch Bilal Zaenal Asyikin, C. Kuncoro
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Abstract

The Internet of Things is boosting indoor solar technologies. It is suitable for low-power applications. However, many low-power communication protocols are not widely used in society, despite the fact that user-friendliness is important for implementation. A sensor node for tracking indoor air pollution is introduced. The sensor module can measure up to 100 ppm of carbon monoxide gas concentration and share real-time data via wifi protocol. One cycle of the carbon monoxide measurement process required 1.093 mWh of total energy capacity over a duration of 33.51s to operate. The system power mode strategy uses a minor current consumption of 31.40 mA, while data transmission uses the most, approximately 113.20 mA. The sensor node could be powered on for 726 cycles with a voltage range of 4.1V-3.3V without solar cells. While including solar cells, the cycles increased to 889 (500 lx) and 1056 (750 lx). It can also be optimized by increasing the luminance and solar cell area. All the carbon monoxide gas concentration data were collected to the IoT server and made online for visualization throughout the testing.
基于太阳能电池的物联网室内空气污染传感器节点性能研究
物联网正在推动室内太阳能技术的发展。它适用于低功耗应用。然而,尽管用户友好性对于实现很重要,但许多低功耗通信协议并没有在社会上广泛使用。介绍了一种用于室内空气污染跟踪的传感器节点。传感器模块可以测量高达100ppm的一氧化碳气体浓度,并通过wifi协议共享实时数据。一氧化碳测量过程的一个周期在33.51秒的持续时间内需要1.093兆瓦时的总能量容量。系统电源模式策略使用的电流消耗较小,为31.40 mA,而数据传输使用的电流消耗最大,约为113.20 mA。在没有太阳能电池的情况下,传感器节点可以在4.1V-3.3V的电压范围内通电726个周期。当包括太阳能电池时,循环次数增加到889 (500 lx)和1056 (750 lx)。它也可以通过增加亮度和太阳能电池面积来优化。所有一氧化碳气体浓度数据都被收集到物联网服务器,并在整个测试过程中在线可视化。
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