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Spatio-temporal trajectory data compression processing method

A data compression and processing method technology, which is applied in special data processing applications, database indexing, geographic information databases, etc., can solve the problems of low data compression efficiency, achieve the effects of improving data compression efficiency, improving extraction accuracy, and ensuring extraction accuracy

Active Publication Date: 2021-06-18
北京京安佳新技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Therefore, the present invention provides a processing method for spatio-temporal trajectory data compression to overcome the problem of low data compression efficiency caused by inability to perform accurate feature extraction after compression in the prior art

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  • Spatio-temporal trajectory data compression processing method

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Embodiment Construction

[0061] In order to make the objects and advantages of the present invention clearer, the present invention will be further described below in conjunction with the examples; it should be understood that the specific examples described here are only for explaining the present invention, and are not intended to limit the present invention.

[0062] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0063] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "left", "right", "inner", "outer" and other indicated directions or positional relationships are based on the terms shown in the accompanying drawings. The direction or positional relationship shown is ...

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Abstract

The invention relates to a spatio-temporal trajectory data compression processing method, which comprises the following steps of: splitting accessed data, and calculating a complete base station information table; grouping the data according to the device numbers, and sorting a plurality of copies of data in each group; generating a first track compressed data block and establishing parameter information; marking longitudes and latitudes of the track compression data blocks; performing iteration processing on each part of data in each group in sequence; establishing a plurality of track compressed data blocks and sequentially judging the type of each track compressed data block; calculating the time difference between two adjacent static data blocks to assign the time difference; and repeating the steps to complete the compression of each group of track compression data blocks in sequence. According to the method, the type of each track compressed data block is judged, and each dynamic data block is assigned according to the judged speed of each dynamic data block, so that the data can be efficiently compressed, the accuracy of extracting the characteristics of the compressed data can be ensured, and the accuracy of extracting the characteristics of the compressed data can be ensured. And the data compression efficiency of the method disclosed by the invention is effectively improved.

Description

technical field [0001] The invention relates to the technical field of spatiotemporal trajectory data compression, in particular to a processing method for spatiotemporal trajectory data compression. Background technique [0002] There are a large amount of spatio-temporal trajectory data with time stamps, equipment numbers, base station numbers, event types (base station switching, location reporting, etc.) and other additional information. They increase by about 15 billion pieces per day, occupying a large amount of storage space. [0003] Currently, these trajectory data are stored as a sequence of location points with time information. This storage method wastes a lot of storage space. On the one hand, trajectory data contains some important information. In the era of big data, the more data there is, the more interesting knowledge can be mined. On the other hand, the average sampling rate every few seconds makes a large amount of data accumulated every day. With the p...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/29
CPCG06F16/22G06F16/29Y02D30/70
Inventor 王霞王光勤安建勇
Owner 北京京安佳新技术有限公司
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