A Novel Sensor based Water Quality Monitoring System using Internet of Things (IoT)

S.Saravanan, B. Prakash, Navya Guntuku, D. Kumar, C. Akshaya, P. Chinna, D. Goud
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Abstract

As drinking water becomes more and more contaminated and polluted; it poses one of the greatest risks today. The diseases that could be transmitted by the contaminated water to humans and animals have an effect on the ecosystem’s life cycle. Early detection of water contamination enables proper action to be taken and harmful situations to be avoided. To guarantee the provision of pure water, real-time monitoring of the water’s quality is required. The need for intelligent solutions for monitoring water contamination is growing as sensors, connectivity, and Internet of Things (IoT) technology develop. This research study deals with an in-depth examination of current advancements in the field of intelligent water pollution monitoring systems. An IoT-based smart water quality monitoring system that continuously monitors the quality parameters is recommended by the research as being both affordable and efficient. The built-in model is tested using water samples, and the parameters are transferred to the cloud server to be processed further.
一种基于传感器的物联网水质监测系统
随着饮用水变得越来越污染和污染;这是当今最大的风险之一。被污染的水可能传播给人类和动物的疾病对生态系统的生命周期产生影响。及早发现水污染,可以采取适当的行动,避免有害的情况。为了保证提供纯净水,需要对水质进行实时监测。随着传感器、连接和物联网(IoT)技术的发展,对监测水污染的智能解决方案的需求正在增长。本研究对智能水污染监测系统领域的当前进展进行了深入研究。该研究推荐了一种基于物联网的智能水质监测系统,该系统可以持续监测水质参数,既便宜又高效。内置模型使用水样进行测试,并将参数传输到云服务器进行进一步处理。
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