Wide Area Beidou Foundation Enhanced Grid Space-Time Interlinked Science and Education Collaborative Experimental Service

Abstract

The typical applications of future smart cities require an integrated system that performs multi-source spatiotemporal information collection, trusted information transmission, real-time big data fusion and precise electronic map display, which involves issues such as different standards, platforms and applications among different systems. To tackle these issues, taking the Internet of Things and Smart Campus as examples, a demonstration platform for collaborative science and education study is needed for exploratory research and education purpose. This paper proposes a next-generation network science and education experiment platform on the China educational network, using the wide-area grid-base enhanced Beidou GNSS system. It provides real-time positioning of mobile or static targets in scales of sub-meter and centimeter, as well as implements high-precision time calibration and real-time communication services. This study develops the BD + GPS positioning equipment and proposes an algorithm to combine the inertial navigation, network and database load balancing technology to achieve high concurrency, large data storage, processing and application access. The data collection experiments on mobile and static targets were conducted in Jinan, Qingdao and Weihai. The preliminary results show that the system can effectively solve the problem of real-time network processing for large-scale users and sub-meter level and centimeter-level positioning of mobile objects in Beidou foundation enhanced grid-based service science and education experiment system. This research provides an application basis for high-precision positioning in the coming big data era.