People stream trajectory tracking and area dwell time statistics method and system based on heterogeneous network

Abstract

The invention discloses a people stream trajectory tracking and area dwell time statistics method based on a heterogeneous network. The method comprises the following steps: deploying wireless access points and iBeaocn base stations, collecting and recording AP (Access Point) RSSI (Received Signal Strength Indicator) values collected by a plurality of sampling points and the coordinate values of the corresponding sampling points by a handheld mobile terminal, taking collected data as training data to determine a BP (Back Propagation) neural network model, integrating training results as an output value which is used as a function of a current mobile terminal coordinate value, obtaining a current position coordinate through an iBeacon and RSSI-distance relational expression, and obtaining a current position according to the distance; connecting the position coordinates to form a people stream trajectory tracking route graph; and meanwhile, recording the dwell time of a people stream at each point. The invention also provides a corresponding system. The invention combines the advantages of high calculation speed of wifi technology and high precision of iBeacon technology, and realizes people stream trajectory tracking and area dwell time statistics in a complex large building by combing with the multiuser support of a smartphone.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, and in particular to a method and system for tracking people's flow trajectory and counting regional stay time based on a heterogeneous network. Background technique [0002] With the continuous development of the economy, there are more and more large indoor buildings, especially large shopping plazas. How to better allocate resources in large buildings and obtain more real user data support for merchant marketing activities more quickly, including The real-time location of users, passenger flow density, residence time, store entry analysis, residence area, number of visits, etc. have become the hotspots of current research. [0003] So far, the following methods are mainly used in the tracking of people flow trajectory: [0004] The first one is to use video crowd counting technology, through specific video surveillance equipment, through moving target detection, identif...

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Problems solved by technology

[0006] The above methods have disadvantages. First of all, they need to deploy specific equipment support, and the biggest disadvantage is that the above equipment cannot actively interact with the flow of people, and can only do unilateral statistics of the flow of people.

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