Design And Implementation Of Online Water Quality Monitoring And Data Analysis System Based On AWS Services

With the continuous development of the Internet of things,a variety of industries have been combined with the Internet of things,aiming to improve the production efficiency.Aquaculture industry of China is in the process from the traditional,extensive stocking mode transforming to intelligent farming mode.Compared with the developed countries,the automatic and intelligent degree of China's aquaculture industry is comparatively low because of technology and policy.While sometimes,the subtle changes of water will bring unimaginable loss,especially breeding aquatic product which are sensitive to environment.So it is becoming a hot research spot that how to provide a cheap,safe,reliable and easy way for the aquaculture industry to monitor water quality.In this situation,I have designed and implemented a water quality monitoring and data analysis system and it can provide an intelligent breeding solution for aquaculture industry.The system is designed with three layer architecture:Client,Cloud Server and Web Server.To ensure the high-portability of the system,the client is running in Node.js and developed by javascript;In cloud server,I use AWS IoT and Amazon DynamoDB to provide security safeguard and store the water quality data;I developed the web site of the water quality monitoring and data analysis system with ASP.Net MVC Framework,Bootstrap Framework and ECharts Tool,meanwhile using SQL Server for data storage.The water quality monitoring and data analysis system provides technical solutions for the combination of aquaculture and IoT.It provides reliable storage and analysis platform for the researchers to explore the value of water quality data in aquaculture industry.And this is a good attempt to use IoT integrating the industry data.