Data Classification and Aggregation in Flexible Clothing Based on Cloud Computing Analysis

The intelligent clothing system involves a large number of acquisition processes. In general, this process includes data terminal acquisition, data cleaning, data processing and analysis. These devices can monitor the area covered by the network in real time. Even through the adjustment of system parameters, so as to improve the comfort of clothing. For example, in high temperature environment, through the system control to speed up the loss of body heat. On the contrary, in low temperature environment, through regulating control to reduce the body heat emission, prevent temperature loss. An analysis of body perception parameters is used to predict the outcome of a risk before it occurs. Thus improve the effectiveness of medical rescue. The work is to design an efficient monitoring network for local monitoring and share data with the terminal Numerical simulation proves that the design strategy in this article can improve the network throughput and process the data in the order of priority.