Distributed implementation method for analyzing user WiFi activity track rules

Abstract

The invention provides a distributed implementation method for analyzing user WiFi activity track rules. Residential areas of MAC can be obtained according to the activity rule track of the MAC, the time of the activity rule track is analyzed to predict which areas a target object may occur within which time period, and an MAC set with similar activity track rules as the MAC can also be inquired. The mined tracks can be semantized to find some commuter modes of users, for example commuting routes; and mined interested areas can be semantized to working areas and residence areas of the users.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a distributed implementation method for analyzing the law of user WiFi activity tracks. Background technique [0002] In the prior art, when a user holds a WiFi-enabled smart terminal and passes through the WiFi coverage area, the WiFi collection device will collect the WiFi data of the user terminal, mainly including MAC address (Media Access Control, physical address), scanning time and scanning device latitude and longitude. Therefore, the data in the general WiFi scanning list is mainly composed of scanning time, scanned AP (Access Point, wireless network access point) or MAC address, signal strength, and corresponding SSID (ServiceSet Identifier, service set identifier). It does not include the coordinate information of the displayed trajectory. [0003] In addition, on the one hand, WiFi data cannot accurately record the user's actual geographic coordinates like GPS;...

AI Technical Summary

Problems solved by technology

[0003] In addition, on the one hand, WiFi data cannot accurately record the user's actual geographical coordinates like GPS; on the other hand, the location points recorded by WiFi data are relatively sparse, and cannot have continuous location points like GPS

Therefore, the traditional method of processing GPS trajectory data cannot be completely copied to WiFi trajectory data

[0004] Generally, most of the WiFi connected by the user is sent by a fixed AP, and the coordinates of the corresponding WiFi can be obtained through the deployment position of the AP. At the same time, most of the existing mining algorithms focus on the spatial law of trajectories, and seldom consider the user's activity rules in different time scales (weeks, time periods) from time and space. Semantics of regions have important reference value

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