Big data-driven public place gathered crowd evacuation method and device

Abstract

The invention discloses a big data-driven public place gathered crowd evacuation method and device. The method comprises the following steps of acquiring scene-related information data of a public place and crowd feature data of the public place, constructing a two-dimensional discrete map of the public place according to the scene related information data of the public place, according to the public place two-dimensional discrete map, setting navigation points, and constructing a path map, according to the position distribution of the navigation points, positioning the person by adopting a region positioning method based on multi-modal data to obtain the position information of the person, according to the crowd feature data of the public place, adopting a public place person classification method to classify people in the public place, and acquiring a classification result of crowds to be evacuated, setting navigation destinations according to classification results and person types, according to the navigation destination and the position information of the person, updating a path map, and generating navigation paths of all kinds of people, and obtaining the shortest effective distance from the navigation point on the three-dimensional map to the exit, and taking the shortest effective distance as an evacuation path.

Description

technical field [0001] The invention relates to the technical field of big data analysis and utilization, in particular to a big data-driven method and device for evacuating gathered crowds in public places. Background technique [0002] Although public safety is an important issue that managers at all levels attach great importance to and emphasize at any time, sudden disasters are still hard to prevent. For example, stadiums, concert venues, subways, shopping malls, hotels and other crowd gathering places, once fires, explosions, terrorist attacks, earthquakes and other emergencies occur, the direct victims of the disaster are often local and a small number, but due to panic The diffusion of emotions in the crowd will cause the decline of individual cognitive ability, loss of site exploration ability, path planning ability and ability to predict the movement of other pedestrians, which will greatly reduce the ability of individuals to navigate autonomously and avoid collis...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that most of the prior art uses spontaneous crowd escape behavior methods or simple path planning methods to escape, and the positioning is not accurate, and it is impossible to formulate personalized escape plans and route planning and navigation according to the crowd, resulting in better evacuation effects. Poor, it is very easy to cause vicious events such as collision, congestion and stampede, which increases the secondary and multiple injuries in sudden accidents and brings serious consequences

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