Aiming at the massive spatiotemporal data of air traffic control monitoring lack of effective distributed storage models,and cannot effectively support fast retrieval and queries.Firstly,spatial en-coding S2 is imported,and a distributed storage model of air traffic control monitoring(PS2-HBase)is established.Then,the spatiotemporal polygonal query and k-nearest neighbor(KNN)query algo-rithm strategies are optimized,a prototype of a distributed storage and query system for air traffic con-trol spatiotemporal data is built.Finally,the experiments are conducted on real datasets.Compared with the traditional ST-Hash method,the results show that the method is tested to be superior to the ST-Hash strategy in two query scenarios.
spatiotemporal datadistributed storage modelspatiotemporal range queryk-nearest neighbor(KNN)query
NETL
NSTL
维普
万方数据
