基于物联网和大数据分析的智能水质分析综述

E. E. Hemdan, Youssef M. Essa, A. El-Sayed, M. Shouman, Abdullah N. Moustafa
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引用次数: 2

摘要

近年来,随着物联网和大数据分析研究思路的推进,水质监测、观测和检测已成为一项重要的研究课题。水的需求和供应之间的关系对每一个国家都是非常重要的,同样也是一个复杂的挑战,以满足世界各地的这一需求。水是人类在地球上生存的必需品。因此,为了生存,对现有水资源的保护和照顾也同样重要。此外,为了一个更健康的社会,获得清洁和安全的水资源也是必不可少的。识别水质影响,提供自动化的水质指导和测试系统,可以保证水的安全。本文介绍了一项使用物联网和大数据分析的水质分析研究。这有助于开发一个灵活的环境,可以处理无处不在的智能传感器产生的大量水和大数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Water Quality Analysis using IoT and Big Data Analytics: A Review
In recent times, water quality monitoring, observing, and testing have become a significant research study with the advancement on the Internet of Things, and Big Data analytics research ideas. The relationship between water demand and supply is very crucial for every country and is likewise a complex challenge to satisfy this requirement around the world. Water is compulsory for human survival being on the earth. Therefore, for survival, the preservation and taking care of the existing water resource are also equally substantial. Moreover, for a healthier society, access to clean and safe water resources is also imperative. To recognize the water quality effects and provide an automated water quality mentoring and a testing system can support in guaranteeing the safety of the water. This paper presents a study on water quality analysis using IoT and Big Data analytics. This can help in developing an agile environment that can handle the massive flow of water big data generated by the smart sensors spread everywhere around us.
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