Research on Real-Time Information Exchange Strategy of Large Data Volume Based on Internet of Things

Research purpose and significance: To study the real-time information exchange strategy of the Internet of Things with large data volume to provide a reference for better display of the value of the Internet of Things. Research methods: This paper summarizes the real-time information exchange of large data volume in the Internet of Things and seeks the existing problems in the real-time information exchange of large data volume in the Internet of Things to provide path support for promoting the real-time information exchange of large data volume in the Internet of things. Research process: Through big data analysis in the Internet of Things, the differences between the Internet and the traditional Internet are compared, and the informationization and data-based technical support are finally provided in the big data storage. Research results: The data interaction method and system-making method based on the Internet of Things have a direct impact on its exchange strategy, will further affect our lives, and will have higher quality and faster information exchange value.