On-Line Detection System of Rain and Sewage in Sponge City Based on Internet of Things and BP Neural Network Model

The rain pollution detection system of sponge city based on Internet of Things is designed, which can be used for on-line remote detection of sponge city rain and sewage, and realize the over-limit alarm. A set of BP neural network is used, which can be used to forecast the rain pollution in sponge city, and analyze the matching between the water supply and water demand, including the matching of time, space, water quantity and water quality, it is helpful to identify the necessity and demand of urban rainwater resources control and utilization from both qualitative and quantitative aspects. Through the combination of Internet of things, cloud computing, big data and other information technology means, make the previously difficult to monitor the variables become easier to promote the construction of intelligent sponge city.