Application of Multi-Source Remote Sensing Data Fusion in Rural Sewage Treatment Effect Evaluation

A remote-control system based on the integration of automation technology and Internet of Things technology is designed to realize the remote control, monitoring and maintenance of sewage treatment equipment. This project combines information from multiple sources under the condition of invariance. Then the universal remote sensing objects are networked detected. At the image level, the multi- source image mode transfer network uses the style transfer network to generate quasi-multiple images similar to the real space in order to shorten the distance between multiple source images, and from the image level invariant learning. In view of the invariability of multi-source data at the feature level, an adaptive network is used to decouple the information among multiple attributes. The attribute reconstruction is completed by adjusting the weight of domain attention network. It can better solve the problems of low operation and management efficiency and high operation and maintenance cost in China's rural domestic sewage treatment work.