An IoT based Real-Time Monitoring of Water Quality System

Abstract

With the emerging technologies and new generation, each field is developing gradually, like IoT, Artificial Intelligence, Big Data, Cloud Computing, etc. Currently, the Internet of Things (IoT) has become the pillar of all connected technologies, without which we can’t imagine our single day. IoT is useful in every aspect of our life. Also, water is an essential component for all living beings, and monitoring of water quality and its parameter is a must to get safe water. The proposed model, water quality monitoring in Aquaculture based on IoT which is used to determine the different parameters of water like, pH value, turbidity, temperature, to detect the bad quality which may lead to any disease or adverse effect to a living being. So, it is crucial to detect the quality of water to have safe water for a healthy life. Traditional approaches include a manual collection of samples with complex methodology and ineffective because of time-consuming, high cost, lack of real-time monitoring and testing is done later in the laboratory. The presented paper is the evolution over the traditional approach which will determine the quality of water with aid of IoT in real-time. Internet of things is responsible for connecting various devices for sending and receiving data. The system used IoT that focuses on aquaculture species, and monitoring of water quality which helps the owner to determine the nature of water is good for the species or not. The system is like early detection of the quality and informs the owner to take required steps further. Different sensors are used to compute the data and send it to the cloud. The system is based on the ThingSpeak platform which is an IoT platform service that provides analysis, storage, and visualization of the data in the cloud through MATLAB. Later IFTTT applets are used to send the notification to the owner.