Multi-data source position information fusion method based on Spark cluster and system

A technology of location information and multiple data sources, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of inability to achieve real-time or quasi-real-time, and achieve the effect of improving performance and accuracy

Inactive Publication Date: 2017-06-13
江苏号百科技有限公司
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Problems solved by technology

Other technologies cannot achieve real-time or quasi-real-time processing in terms of timeliness, but in some scenarios, such as algorithmic trading, fraud detection, real-time p...

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  • Multi-data source position information fusion method based on Spark cluster and system
  • Multi-data source position information fusion method based on Spark cluster and system
  • Multi-data source position information fusion method based on Spark cluster and system

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] Unless the context clearly states otherwise, the number of elements and components in the present invention can exist in a single form or in multiple forms, and the present invention is not limited thereto. Although the steps in the present invention are arranged with labels, they are not used to limit the order of the steps. Unless the order of the steps is clearly stated or the execution of a certain step requires other steps as a basis, the relative order of the steps can be adjusted. It can be understood that the term "and / or" used herein refers to and covers any and all possible combina...

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Abstract

The invention provides a multi-data source position information fusion method based on a Spark cluster. The method comprises the following steps that mass position information data is received through an interface, wherein the position information data is from a signaling collection system of provincial-level operators and an Internet user behavior big data platform; collected text files are encrypted and cleaned through a preprocessing program to remove invalid data, and the processed data is put into a Kafka in real time; the real-time data is processed through Spark Streaming, the processing comprises real-time position calculation, fusion, counting and trajectory generation operations, total-amount position information is obtained, and the processed total-amount position information is stored in a Redis database; the total-amount position information is sliced and exported according to a set cycle in the Redis database, the exported data is stored in an HDFS and supplied to an upper-layer application for calling and querying historical data through the Spark SQL interface. The invention further provides a system of the multi-data source position information fusion method based on the Spark cluster.

Description

technical field [0001] The invention belongs to the technical field of big data processing, and in particular relates to a location information fusion method and system of multiple data sources based on a Spark cluster. Background technique [0002] With the promotion of location information-based applications in various industries, the application prospects are broad and the needs of various industries are strong. Whether it is the tourism industry, government agencies such as transportation, civil affairs, statistics bureaus, or retail industries, there are very urgent needs. Big data applications provide very good landing scenarios. [0003] The location information is based on the user's telecommunications 2, 3, 4G network signaling location, wireless side bill data, WIFI Internet access records, GPS data extracted from user Internet behavior records, and user-related attribute data. Provide specific area population density monitoring, crowd attribution analysis, crowd ...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 戴侃许恺黄强松陈辉
Owner 江苏号百科技有限公司
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