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User travel track extraction method and system based on signaling big data

A technology of signaling data and user trajectory, applied in geographic information databases, special data processing applications, database queries, etc., to achieve efficient and fast acquisition

Active Publication Date: 2020-05-29
邑客得(上海)信息技术有限公司
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Problems solved by technology

[0004] In order to overcome the deficiencies in the above existing technologies and solve the problem of trajectory data extraction in the location-based service LBS system of tens of billions of signaling big data, the present invention proposes a real-time and offline dual-contrast user trajectory extraction based on signaling big data Method and system capable of extracting real-time and offline user trajectories with high flexibility

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  • User travel track extraction method and system based on signaling big data
  • User travel track extraction method and system based on signaling big data
  • User travel track extraction method and system based on signaling big data

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Embodiment Construction

[0031] In order to make the above objects, features and advantages more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] The present invention provides a method and system for extracting real-time and offline user trajectories based on signaling big data, which can extract real-time user trajectories and offline trajectories, and solve the problem of trajectory data extraction in the location-based service LBS system of tens of billions of signaling big data, High flexibility.

[0033] figure 1 Shown is the process of the specific implementation of the real-time and offline double-contrast user trajectory extraction method based on signaling big data provided by the present invention; figure 2 Shown is the structure of the real-time and offline double-contrast user track extraction system based on signaling big data that implements the method; specifically includes...

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Abstract

The invention discloses a signaling big data-based user travel trajectory extraction method and system, which are used for mining a user travel trajectory sequence from massive signaling data, obtaining a user position switching data sequence in an offline trajectory extraction process, detecting a user residence point by utilizing residence time and extracting a user offline trajectory. In real-time trajectory extraction, streaming computation and Geohash computation are utilized to record a Geohash grid where each user is currently located, the Geohash grid is used as a resident point, and anew resident point is generated, so that real-time trajectory data is acquired. By adopting the technical scheme provided by the invention, the real-time track and the offline track of the user can be extracted, and the flexibility is high.

Description

technical field [0001] The present invention relates to a real-time and offline dual-contrast user travel trajectory extraction method and system based on signaling big data, which is used to mine user travel trajectory sequences from massive signaling data, and belongs to the technical field of computer software technology and signaling big data mining . Background technique [0002] The development of wireless communication technology has led to an increasing usage rate of mobile devices such as mobile phones. In the 5G era, the signaling big data generated by mobile devices such as mobile phones in the process of using wireless communication services will usher in explosive growth. Signaling data contains a wealth of information such as user calls, location updates, and Internet access, especially the location information. Due to its high user coverage and good data continuity, it can be used for urban population statistics, user travel mode identification, and early warn...

Claims

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Application Information

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IPC IPC(8): G06F16/182G06F16/24G06F16/28G06F16/29
CPCG06F16/182G06F16/24G06F16/283G06F16/29
Inventor 司俊俊羊晋刘智超夏水军涂波
Owner 邑客得(上海)信息技术有限公司
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