Moving track data processing method and device, computer equipment and storage medium

A movement trajectory and data processing technology, applied in the field of big data processing, can solve the problems of low data analysis efficiency, long data collection time, and difficulty in ensuring the accuracy of data analysis results, so as to reduce the difficulty of data collection and improve efficiency and accuracy. , the effect of improving resolution and operational flexibility

Pending Publication Date: 2021-07-23
马琦伟
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Problems solved by technology

It can be seen that this method is not only difficult to guarantee the accuracy of the data analysis results, but also takes too long to collect data and the efficiency of data analysis is low; in addition, the more detailed the division of urban areas, the more difficult it is to implement the traditional method

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  • Moving track data processing method and device, computer equipment and storage medium
  • Moving track data processing method and device, computer equipment and storage medium
  • Moving track data processing method and device, computer equipment and storage medium

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Embodiment Construction

[0045] A method, device, computer equipment and storage medium for processing trajectory data provided by the present invention will be explained and illustrated in detail below in conjunction with the accompanying drawings.

[0046] Such as figure 1 As shown, one or more embodiments of the present invention may provide a method for processing movement track data, and the method may include but not limited to one or more of the following steps.

[0047] The present invention can firstly acquire most or all crowd movement track data and point of interest (POI, Point of Interest) data within the set area. Some embodiments of the present invention can delineate functional area boundaries according to certain rules, for example, according to administrative boundaries such as street offices or natural boundaries such as road red lines. The set area includes multiple functional areas, such as multiple administrative districts of a large city, and so on. Such as Figure 6 As shown...

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Abstract

The invention can provide a moving track data processing method and device, a computer equipment and a storage medium. The method comprises the following steps: acquiring crowd movement track data and interest point data in a set area, wherein the set area comprises a plurality of functional areas; matching the crowd movement track data with the interest point data, and generating flow data among interest points according to a matching result, wherein the flow data among the interest points represents movement data of the crowd among the interest points; generating inter-region flow data between any two functional regions based on the flow data between the interest points and the distribution information of the interest points in the functional regions, wherein the inter-region flow data represents movement data of the crowd between the functional regions; and calculating the embedded vector expression data of each functional region according to the inter-region flow data, and performing clustering processing on the plurality of functional regions according to the embedded vector expression data. According to the invention, urban area feature analysis is carried out based on crowd movement trajectory data, and the technical effects of reducing data acquisition difficulty, improving analysis efficiency and the like are achieved.

Description

technical field [0001] The present invention relates to the technical field of big data processing, and more specifically, the present invention can provide a method, device, computer equipment and storage medium for processing trajectory data. Background technique [0002] With the rapid development of the economy and the continuous progress of the society, there are obvious deficiencies in the traditional data analysis methods of urban regional characteristics. The most conventional data collection method is to rely heavily on manual censuses, and then estimate and count the obtained data based on the experience of relevant practitioners, so as to analyze the characteristics of urban regions. It can be seen that this method is not only difficult to ensure the accuracy of data analysis results, but also takes too long to collect data and lower data analysis efficiency; in addition, the more detailed the division of urban areas, the more difficult it is to implement the trad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9537G06F16/906G06K9/62
CPCG06F16/9537G06F16/906G06F18/23G06F18/10
Inventor 马琦伟黄天元宫兆亚刘溪
Owner 马琦伟
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