Space-time trajectory accompanying analysis method and system, electronic equipment and storage medium

Abstract

The invention discloses a space-time trajectory accompanying analysis method and related components, and the method comprises: obtaining the original data of a collection object, carrying out the coding of spatial data in the original data, generating a character string, adding the character string to the original data, and generating preprocessing data; writing the preprocessed data into a time sequence library Druid, and pre-aggregating the preprocessed data by the time sequence library according to time granularity during writing to realize initial deduplication; receiving a trajectory query request for the target object, searching data and performing secondary deduplication to generate a first spatial-temporal trajectory of the target object and a second spatial-temporal trajectory ofthe accompanying object; and determining the number of accompanying times of the second space-time trajectory and the first space-time trajectory, and determining the accompanying degree of each second space-time trajectory and the first space-time trajectory. Rough deduplication is realized through the pre-aggregation operation by utilizing the time sequence library, data redundancy is avoided, space occupation is reduced, the secondary deduplication calculation speed is increased, a nonlinear data model does not need to be constructed for fitting during adjoint analysis, and the calculationcomplexity is reduced.

Description

technical field [0001] The present application relates to the technical field of data processing, and more specifically, relates to a time-space trajectory adjoint analysis method and system, an electronic device, and a computer-readable storage medium. Background technique [0002] With the rapid development of satellites, wireless networks and positioning facilities, the trajectory data of moving objects has increased dramatically. As a new branch of data mining, trajectory data analysis and mining play a huge role in security, transportation and other industries. Spatio-temporal trajectory data is a collection of sampled records that capture the location, time, and label information of objects. By analyzing spatio-temporal data, similar features in spatio-temporal data can be obtained, which in turn helps users find effective information from them. [0003] In security scenarios, GeoHash is used to encode spatio-temporal data and stored in the distributed database Hbase ...

AI Technical Summary

Problems solved by technology

When performing adjoint analysis, it is usually necessary to construct a complex nonlinear data model for fitting processing, which has high computational complexity and requires a lot of labor costs

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