User behavior analysis method and device based on GPS track, electronic equipment and medium

Abstract

The invention relates to big data, and discloses a user behavior analysis method based on a GPS track. The method comprises the following steps: sequentially calculating a first distance between a corresponding GPS positioning point in a GPS positioning point sequence and a GPS positioning point at the head of a target position point storage queue; when the first distance is smaller than a first threshold value, storing the GPS positioning point in the target position point storage queue; and when the first distance is greater than the first threshold value and the number of the GPS positioning points in the target position point storage queue is greater than a second threshold value, regarding a geographic area corresponding to the GPS positioning point in the target position point storage queue as a stay area of a specified user. The invention also relates to a blockchain technology. The historical GPS trajectory information of the user is stored in the blockchain. According to the invention, the user stay area identification accuracy and identification efficiency can be improved.

Description

technical field [0001] The present invention relates to big data processing, in particular to a user behavior analysis method, device, electronic equipment and medium based on GPS track. Background technique [0002] With the popularization of GPS technology on mobile devices, the analysis of the GPS trajectory of the target object is more and more applied in all aspects of life, for example, the behavioral characteristics of the target object (e.g., people, vehicles, animals) are studied through the GPS trajectory , activity rules, interest preferences, providing support for location-based services (for example, point of interest labeling), urban planning (for example, route optimization), environmental protection (for example, monitoring of migratory bird habitats), etc. [0003] And identifying the staying area in the GPS track is an important topic in GPS track analysis, for example, by analyzing the user's staying area (a shopping mall, a tourist attraction, etc.), to r...

AI Technical Summary

Problems solved by technology

At present, clustering algorithms and multiple traversal methods are usually used to identify the staying area in the GPS track. The clustering algorithm is complex and only considers the spatial dimension, not the time dimension, resulting in low recognition accuracy; multiple traversals The method needs to traverse the GPS track information multiple times (the distance and speed of adjacent GPS positioning points are calculated in the first traversal, the high-speed GPS positioning points are deleted in the second traversal, and the GPS track is segmented in the third traversal to obtain the suspected staying area ), and then find out the target stay area from the suspected stay area and determine the coordinates of the target stay area, the recognition efficiency is low

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