加强环境监测--基于 LoRa 的无线传感器网络方法

Vinod Mulik, Amol Yadav, Atul Vitekar, Mahavir Kasar, Sushilkumar Rajbhoj, Savita Itkarkar
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摘要

日常气候变化影响着人类生活的方方面面。气候变化的影响包括酸雨、暴雨、海平面上升和洪水。必须采取预防措施来减少这些后果,其中一项预防措施就是感受和跟踪环境变量,包括偏远地区和城市地区的温度、相对湿度、空气质量和降雨量。我们利用 LoRa 技术模块开发了一个无线传感器网络系统,用于收集有关环境参数的数据。作为该系统的一部分,微控制器与温度、湿度和降雨量传感器配对,使它们可以充当传感器节点。这些传感器节点以较低的数据传输速率远距离传输重要数据,同时尽可能降低功耗。实验结果表明,通过使用 LoRa 模块,我们可以在更远的距离上对参数进行高精度监测。我们对该系统进行了三个月的数据收集测试。同时,我们通过仔细研究每天高峰时段和节日期间的特殊情况,证明交通部门是造成城市空气污染的主要原因。我们成功测试了该系统的传输距离为 500 米,功耗为 25 毫瓦,而现有的固定系统不具备任何数据传输功能。我们的结论是,利用天气质量监测和预报来控制高峰时段和节日期间的交通状况,将大大有助于保护城市的大气环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Environmental Monitoring – A LoRa-Based Wireless Sensor Network Approach
Daily climate change has an impact on all aspects of human life. The effects of climate change include acid rain, tor - rential rain, rising sea levels, and flooding. Precautions must be taken to reduce these consequences, and one of those precautions is to feel and track environmental variables including temperature, relative humidity, air quality, and rainfall in remote as well as urban areas. A wireless sensor network system is been developed by using a LoRa Technologies module for the collection of data regarding environmental parameters. As part of this system, the microcontroller is paired with temp., humidity, and rainfall sensors so that they may act as sensor nodes. These sensor nodes transmit significant data over long distances at low data rates while using as little power as possible. The experimental results show that by using LoRa modules we can monitor the parameters with high accuracy and at longer distances. This system was tested for three different months to collect the data. Meanwhile, we demonstrate that the transport sector is mostly responsible for the city’s air pollution by carefully examining the particular situation mostly during daily peak hours and festival season. The system is tested successfully for a transmission range of 500 meters with a power consumption of 25 mW against the existing stationary systems which do not have provision for any transmission of data. We conclude that employing weather quality monitoring and forecasting to control traffic conditions during the peak hours and festival season, will significantly contribute to protecting cities’ atmospheric environments.
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