A system for analyzing the migration of people using shared travel big data

Abstract

The invention discloses a system for analyzing human flow migration by using shared travel big data, which belongs to the field of smart travel and public safety; it includes: a data storage layer, a memory calculation layer, a human flow migration analysis layer and a visualization layer; the data storage layer is used for Store incremental data and load it into the memory. The memory computing layer realizes parallel computing through the Map Reduce computing framework, uses the Spark SQL computing framework to realize full data computing, and uses the SparkStreaming computing framework to realize incremental computing of shared travel data; at the same time, the data It is converted into intermediate data with analytical value. Based on the above-mentioned intermediate data, the people flow migration analysis layer conducts the analysis of people flow migration in business districts / cities and the statistics of people flow in cities / business circles. The final analysis results are shown in the migration line chart and migration pie chart. presented. The invention has real-time performance, high efficiency and scalability.

Description

technical field [0001] The invention belongs to the field of smart travel and public safety, and relates to the flow analysis of people in different areas; specifically, it is a system for analyzing the migration of people by using shared travel big data. Background technique [0002] With the continuous development of mobile positioning services and mobile terminals, the gradually accumulated migration data provide a data basis for population flow and spatiotemporal correlation analysis. The analysis of human flow migration is mainly oriented to statistics and modeling of population flow data between different regions within a certain period of time. There are different divisions of this kind of research on the scale of regional research: some take provinces, autonomous regions or municipalities directly under the central government as the smallest research unit, and the other take a certain region or characteristic city as the research unit. [0003] By analyzing the popu...

AI Technical Summary

Problems solved by technology

[0022] In order to solve the problems of difficult data restoration and lack of data incremental analysis in the existing people flow migration analysis, this invention proposes a system for analyzing people flow migration using shared travel big data, by combining shared travel big data with memory computing The method realizes the full amount of data processing and analysis, the unified processing and analysis framework of the flow of people between cities and business districts, and is suitable for data incremental analysis, with fast data processing speed and one-stop analysis and visualization Advantages of function

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