Real-time Monitoring and Comprehensive Analysis Framework for Rainwater and Soil Pollution based on Big Data Feature Extraction and IoT

Real-time monitoring and comprehensive analysis framework for rainwater and soil pollution based on big data feature extraction and Internet of Things (IoT) is discussed in this article. The procedural operation technology of the dispatch automation system is proposed, and introduces the overall structure and implementation plan of the dispatch automation system. The novelty is summarized into the following core aspects. (1) By representing the reconstructed training samples with low rank, a robust discriminant feature space constraint term was designed to enable the learning of feature subspace to improve the data analytic effectiveness. (2) For the forward propagation and backward propagation, the direction of the traversal and the operations that must be performed are different. Based on this, the novel real-time analysis model is designed. The proposed model is simulated on the hardware devices. The results have shown that the proposed method is efficient.