Design of Internet of Things Information Interactive Perception System Based on 5G Mobile Communication Technology in a Hospital Network

Abstract

Abstract In the communication process of 5G big data Internet of Things, because of the difference of communication data, the data interaction process needs information mutual recognition scheduling, which greatly reduces the effectiveness of the interactive perception system. In order to improve the real-time performance of platform interaction in the Internet of Things environment, an Internet of Things information interaction perception system based on 5G mobile communication technology is designed. This is mainly important in a hospital network. The system perception layer completes the accurate acquisition of Internet of Things information through data acquisition module and transmits it to the application layer through 5G mobile communication module in the network layer. The intelligent interaction module based on context awareness in the application layer will be heterogeneous and unstructured. The Internet of Things perceived data is encapsulated in context as a unified data processing object of the Internet of Things. The context rule-matching algorithm based on Storm is used to achieve accurate matching between heterogeneous and unstructured perceptual data and rules, and an interactive perceptual parallel query scheduling strategy is used to achieve the optimal scheduling of information mutual perception in the Internet of Things. The results show that there is a positive correlation between the validity of sensing temperature information and the amount of sensing data. The average data processing delay of the system is stable at 50 ms, which meets the real-time requirement of data processing.