People stream analysis, early warning and dispersion method and system

Abstract

The invention provides a people stream analysis, early warning and dispersion method and system, and the method comprises the steps that a first flight time TOF camera carries out the scene data collection of a first monitoring region according to a set sampling frequency, obtains the three-dimensional point cloud data of the first monitoring region, generates first monitoring data, and transmitsthe first monitoring data to a main controller; the main controller performs analysis, identification and calculation processing on the three-dimensional point cloud data to obtain a first monitoringperson number of the first monitoring region corresponding to the monitoring ID; the main controller calculates a quantity difference value between the first monitoring number of people and a first preset number of people, and records the quantity difference value in a monitoring list; the main controller determines whether the number difference value is greater than 0; when the number differencevalue is greater than or equal to 0, the main controller generates first early warning data according to the monitoring ID and the first monitoring number of people and sends the first early warning data to the dispersion unit; wherein the first early warning data comprises early warning prompt information; and the dispersion unit analyzes the early warning data and outputs early warning prompt information obtained by analysis to the playing unit for broadcasting the early warning prompt information.

Description

technical field [0001] The invention relates to the fields of data processing and automatic control, in particular to a method and system for analyzing, early warning and dredging people flow. Background technique [0002] In recent years, with the continuous development of the modern social economy and the improvement of people's living standards, the number of people's travels is also increasing. Parks, scenic spots, museums, shopping malls, airports, railway stations and other travel places in various cities attract a large number of tourists or tourists. In order to ensure the safety of tourists or passengers, the management departments of various places have invested a lot of manpower to guide tourists or passengers. However, due to the limitation of manpower in the way of manual guidance, it is impossible to provide reasonable guidance and limit traffic to tourists or passengers at all times. The error of manual guidance is large. And as labor costs increase, managem...

AI Technical Summary

Problems solved by technology

In order to ensure the safety of tourists or passengers, the management departments of various places have invested a lot of manpower to guide tourists or passengers. However, due to the limitation of manpower in the way of manual guidance, it is impossible to provide reasonable guidance and limit traffic to tourists or passengers at all times. Manual guidance has a large error

And as labor costs increase, management costs also increase

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