Crowd risk degree detection method, device and equipment

A detection method and risk degree technology, which is applied in the field of crowd crowd risk detection, can solve the problem of low accuracy of crowds, and achieve the effects of improving accuracy, accurate warning, and preventing stampede events
CN113221856AActive Publication Date: 2021-08-06SHIJIAZHUANG TIEDAO UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHIJIAZHUANG TIEDAO UNIV
Publication Date
2021-08-06

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Abstract

The invention discloses a crowd risk degree detection method, device and equipment. The method comprises the steps of obtaining the region data of a target region and the crowd data of the target region at a target moment, and enabling the region data to comprise the area, the ground slope and the ground slope length, and enabling the crowd data to comprise the number of crowds, an included angle between a crowd flow direction and a gradient descending direction and average walking speed in the crowds, according to the region data and the crowd data, determining a crowd risk degree of the target region at the target moment, and when the crowd risk degree meets a preset condition, outputting alarm information. By considering the influence of the ground slope, the ground slope length, the average walking speed in the crowd and the included angle between the crowd flow direction and the slope descending direction on the crowd risk degree, the crowd risk degree detection precision of the crowd can be improved, so that accurate early warning is performed, and the occurrence of stampede events is effectively prevented.
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Description

technical field

[0001] The invention relates to the technical field of crowding risk detection, in particular to a crowd crowding risk detection method, device and equipment. Background technique

[0002] Under special events, large crowds are prone to gather in urban public areas, such as important transportation hubs, convention and exhibition centers, open squares, etc. There is a risk of stampede when a large number of people gather.

[0003] At present, the degree of crowding is usually judged by calculating the crowd density, and whether an early warning is required is determined according to the degree of crowding. However, since the degree of crowding is only one of the factors that affect the risk of stampede, only the degree of crowding is considered. The accuracy of crowd crowd risk detection is low, and early warning cannot be accurately performed to prevent the occurrence of stampede time. Contents of the invention

[0004] In view of this, the present invent...

Claims

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