使用物联网和机器学习进行水质监测

A. Omambia, B. Maake, Anthony Wambua Wambua
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引用次数: 6

摘要

获得安全用水是人类生存的基本形式,被视为一项基本人权。由于消费者使用的水主要来自城镇周围的管道和泉水,污染、泄漏和盗窃就会发生。物联网和机器学习为应对这些挑战提供了一个有希望的解决方案。在这些技术的前提下,作者提出了一个系统,该系统使用机器学习算法进行决策,监测水质和盗窃和浪费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Quality Monitoring Using IoT & Machine Learning
Safe water access is fundamental form of human survival and it is presented as a fundamental human right. As consumers use water, primarily sourced from pipes and springs located around towns, contamination, leakages, and pilferage happen. IoT and Machine Learning offer a promising solution to address these challenges. Premised on these technologies, the authors propose a system that monitors water quality and pilferage and wastage that uses machine learning algorithms for decision making.
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