Research on Multi Sensor Neural Network Decision and Prediction System to Cloud Platform

With the comfort of home environment, the demand for early warning capability of safety accidents is growing day by day. Through real-time collection of a large amount of data for intelligent decision-making analysis and research, a set of intelligent decision-making system for home environment with optimal comfort of popular indoor environment based on Multi Sensor Neural Network Prediction is designed. The method in this paper is to use Alibaba Cloud's IoT Studio project console to build interactive Web visualization pages such as "real-time environment status information", use fuzzy fusion Bayesian decision model as system algorithm condition judgment, realize mobile phone push of alarm function of home environment intelligent decision system on Multi Sensor Neural Network Prediction, and develop neural network temperature prediction function.