Spatial-temporal trajectory big data storage method for database

The invention relates to a spatial-temporal trajectory big data storage method for a database. The method comprises the steps that information collection is conducted on state information of an object with a position information sampling function through an information collection terminal; after information collection, collected information is transmitted to a data processing system through transmission equipment; noise filtering preprocessing and data cleaning preprocessing are conducted on the received original data information in the data processing system, the preprocessed data information is stored in a trajectory database by serving as source spatial data, and then a data storage layer is obtained, wherein the source spatial data is stored in a dispersion-type sampling storage mode; the source spatial data is modeled and processed, after interception, projection, measurement and built-in function fitting operations, track data is obtained, and then a trajectory layer is constructed; a complex query func