Scenic spot passenger flow volume information system for acquiring scenic spot people information by using base station

Abstract

The invention provides a scenic spot passenger flow volume information system for acquiring large-scale independent scenic spot people flow information by using a base station. The system comprises: a mobile terminal, a base station, a base station controller, an information processing platform, a short message gateway, an information charging platform and a short message service platform. The mobile terminal accesses to a network through a base station in a scenic spot scope covered by a signal. The base station is connected with the base station controller. The base station controller is connected with the information processing platform. The information processing platform and the information charging platform can connect with the short message service platform through the short message gateway. The information processing platform also comprises a data receiving module, a data processing module and a information issuing module. The data receiving module retrieves base station information from the base station controller. The base station information is processed through the data processing module. The information issuing module publishes the people flow information and a travel advice as a short message mode to a user mobile phone. A structure is simple and the system is convenient to use. Acquired statistics data has small errors compared with the actual data. The user who customizes the value-added service can know the real-time people flow information and the travel advice of the scenic spot at any time.

Description

technical field [0001] The invention relates to the field of mobile communication information services, in particular to an information system for scenic spot passenger flow that uses a base station to acquire large-scale independent scenic spot passenger flow information. Background technique [0002] During holidays, the number of people going out to play has increased significantly, and various scenic spots are often overcrowded. If the real-time flow of people can be counted in time, the rational allocation of resources can be realized, which is more conducive to the travel crowd to arrange their own itinerary according to the real-time flow of people, and try to avoid scenic spots with too many people. The existing methods for obtaining people flow mostly use the following technologies: infrared sensors, pressure sensors, video recognition and so on. The aforementioned techniques are less practical in use. Infrared and pressure sensors are only suitable for use at the...

AI Technical Summary

Problems solved by technology

The above techniques are less practical in use

Infrared and pressure sensors are only suitable for use at the entrance, and it is impossible to determine the exact number of people passing through at the same time when the crowd is dense, while the algorithm for video recognition is more complicated, and data collection is difficult

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