Design of Airport Inspection and Disinfection Channel System Based on Cloud Platform

In the, face of the outbreak, due to the large passenger flow at the airport, there is a great demand, for temperature detection, disinfection and registration. At present, the intelligence degree of airport inspection and disinfection system is generally low. Problems such as disinfection and temperature measurement omission, long time consuming, low efficiency and difficulty in establishing passenger health information base are often found. In order to solve these problems and achieve the "interconnection and sharing" of passenger health information, this paper designs the airport inspection and disinfection channel system based on cloud platform. This system uses the information system based on the cloud platform, combining with the data collected by sensors, carries on the statistical processing and analysis of various information. At the same time, Back Propagation neural network algorithm is selected to compensate the ambient temperature and improve the temperature measurement accuracy. This system adopts scanning two-dimensional code to register and identify the information of passengers, and through a large user group of WeChat small program, so as to achieve information interaction with passengers. This system realizes the automation, intelligence and informatization of airport inspection and disinfection.