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Research on nearly 14-day trajectory tracking warning system

Studies on prevention and control practices show that the mobility of personnel is the main reason for the spread of the epidemic. The epidemic prevention and control work is gradually becoming normalized. By giving full play to scientific and technological advantages, mining the intrinsic value of information and analyzing and utilizing trajectory data, transmission can be effectively avoided from the source, which is of great significance for epidemic prevention and control. This paper realizes the analysis of personal trajectory data through the research of point aggregation algorithm and visual field following algorithm, processes the track big data by using big data technologies such as Kafka and Spark, displays the track data according to WeChat applet and visualization large screen, and designs the individual trajectory and track big data visualization end system based on the trajectory data. The experimental results show that the system can display the whereabouts in real time, which has good practicability and versatility, and has positive reference significance for helping residents to travel and supporting the government's decision to fight the epidemic.