Positioning error detection method of Beidou navigation system in Internet of things based on Cloud Computing

The introduction of Beidou system into the Internet of things can greatly improve the management efficiency of Internet of things equipment, but it also puts forward higher requirements for the positioning accuracy of the Internet of things. However, the existing positioning and detection systems have the problems of low detection efficiency and low detection accuracy. In order to solve the above problems, this paper designs a positioning error detection method of Beidou System in the Internet of things based on cloud computing. In the hardware part, it adopts the form of boom and DSP, and realizes data exchange with the help of 4G communication module. In the software part, the error detection architecture and data forwarding scheme based on cloud computing are designed. After calculating the ephemeris error, the carrier phase periodic jump technique is used to detect the positioning error. The system test results show that the designed system can effectively detect the positioning error of Beidou navigation system in the Internet of things, the detection efficiency is improved by 61.72%, and the detection accuracy is high.