Scenic area real-time dynamic tourist flow statistical method based on tourist movement signaling data

Abstract

The invention relates to a scenic area real-time dynamic tourist flow statistical method based on tourist movement signaling data. The method comprises the steps that S1, an LTE-A open monitor collects the signaling data of tourists in a scenic area in real time, and the data is saved into a remote file by saving one signaling data file at the time granularity of one minute; S2, whether the remote file has updated files is monitored through a Flume module, and if yes, the files are recorded and collected one by one; S3, the Flume module sends data in the latest updated file into a Kafka data buffering module piece by piece for data buffering till all the data in the latest updated file is sent, and then the data flow is packaged into batch data to serve as Spark data input flow; S4, the total number of the tourists in the scenic area is subjected to real-time statistics by comparing the positions of base stations where the tourists are located in a previous one minute and a later one minute in a Spark distributed memory computing framework; and S5, a tourist flow result obtained through real-time statistics in every minute is output and stored.

Description

technical field [0001] The invention belongs to the field of communication technology, in particular to the field of mobile Internet and computer communication, and relates to a real-time dynamic passenger flow statistics method in scenic spots based on tourist mobile signaling data. Background technique [0002] In recent years, a new generation of information technology represented by cloud computing, the Internet of Things, and mobile communications has made major breakthroughs and has begun to be widely used in various industries. The Internet of Things technology breaks through the "online" limitations of the Internet and integrates the virtual world with the real world; mobile communication technology realizes the wireless connection of real-time data between systems and remote devices, providing ubiquitous full-service Conditions are provided; cloud computing solves the huge data storage and processing problems brought about by the development of the Internet. The po...

AI Technical Summary

Problems solved by technology

[0009] In view of this, the purpose of the present invention is to provide a real-time dynamic passenger flow statistics method for scenic spots based on tourists' mobile signaling data. It is suitable for storage in traditional databases for analysis and other issues. By monitoring the passenger flow in the scenic spot in real time, it is helpful to deal with the rapid increase of tourists in the scenic spot in a short period of time, and it is convenient for the scenic spot and the local government to take measures such as diversion and diversion in time, so as to achieve the safety of the scenic spot The purpose of management, and at the same time, to a greater extent enhance the tourists' experience of the scenic spot

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