Track cleaning method based on distance and angle

Abstract

The invention discloses a track cleaning method based on distance and angle, and the method is characterized in that the method comprises the following steps: acquiring position coordinate information sent by an engine through a monitoring port, calling a data cleaning module, removing static point data through a distance cleaning method, cleaning point position data which has no obvious effect on historical track display through a track deviation angle cleaning method, and storing the data in a database; calling a historical track query interface, obtaining point location data of the historical track, and displaying the point location data. According to the method, processing of coordinate data of a static object (through a distance cleaning method) and processing of inactive data generated in movement (through a track deviation angle cleaning method) are considered at the same time, the comprehensive data processing capacity is achieved, the data cleaning quality is effectively improved, data storage is reduced, and the query efficiency is improved.

Description

Technical field [0001] In particular, the invention belongs to the technical field of information technology, and more particularly to a distance, an angular trajectory cleaning method. Background technique [0002] Data cleaning refers to the reduction operation of some rule of the received data, removes the errors, repetition, and data that does not have obvious effects. [0003] In life, we will always have a variety of data, which are useful, some are data garbage, occupying resources, this time requires data cleaning. When querying the positioning resource, once the amount of data is much, the query is also slowed down, affecting the user experience. [0004] Existing trajectory cleaning solutions rely, depending on the third party framework, but also write its own written algorithms, build complex, or only errors and repetition cleaning, there is no good effect. Inventive content [0005] It is an object of the present invention to solve the problems mentioned in the conte...

AI Technical Summary

Problems solved by technology

When querying and locating resources, once the amount of data increases, the query will slow down accordingly, affecting user experience

[0004] Most of the existing trajectory cleaning solutions rely on third-party frameworks, and they have to write algorithm rules by themselves, which is complicated to build, or only mistakes and repeated cleaning are performed, which does not have a good effect

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