Distributed storage and prediction method for mooring monitoring system

Distributed storage and prediction method of monitoring data for mooring monitoring system is researched. Aiming at the real time requirement of monitoring and prediction for mooring monitoring system, used Hadoop distributed file system to store generous monitoring data, and used Map/Reduce framework to predict monitoring data, which solve the problem of mass data storage in limited memory and time-consuming dynamic prediction. Simulation analysis shows that the distributed data storage and prediction method can solve the problem of massive data storage, and enhance the prediction efficiency of the system, so that mooring monitoring system achieve the design requirements of the system.