A big data-driven method and device for evacuating gathered crowds in public places

A big data-driven, public place technology, applied in the field of big data analysis and utilization, can solve the problem of increasing secondary and multiple personal injuries in sudden accidents, making escape plans and route planning and navigation, and easily causing collisions, congestion and stampedes and other issues to achieve the effect of reducing secondary and multiple personnel injuries, reducing secondary and multiple personnel injuries, and accurate and reliable positioning

Active Publication Date: 2022-01-18
枫树谷(成都)科技有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • A big data-driven method and device for evacuating gathered crowds in public places
  • A big data-driven method and device for evacuating gathered crowds in public places
  • A big data-driven method and device for evacuating gathered crowds in public places

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Embodiment 1

[0083] Such as figure 1 As shown, the present invention is a method for evacuating crowds gathered in public places driven by big data. The public places of this embodiment are implemented in shopping malls. The method includes:

[0084] Obtain the scene-related information data of the shopping mall and the crowd characteristic data of the shopping mall;

[0085] Constructing a two-dimensional discrete map of the mall according to the scene-related information data of the mall;

[0086] Setting navigation points according to the two-dimensional discrete map of the shopping mall; constructing a path map through the distance between the navigation points and adjacent navigation points;

[0087] According to the position distribution of the navigation point, the personnel in the shopping mall are positioned by a regional positioning method based on multimodal data, and the position information of the personnel is obtained;

[0088] According to the crowd characteristic data of...

Embodiment 2

[0156] Such as Figure 1 to Figure 6 As shown, the difference between this embodiment and Embodiment 1 is that, according to the type of people to be evacuated and the corresponding evacuation paths, the evacuation of the crowd also includes the establishment of a personalized visual navigation system. as follows:

[0157] In addition to one-key help-seeking personnel, the personalized navigation path generated by the personalized evacuation path planning method is pushed to the personal portable terminal in the form of 3D animation, and reminded by voice and text, pay attention to observe the environment, avoid collisions with people, do not Crowded, do simple personal protection, etc. The three-dimensional animation consists of three parts: a 3D map of the place, a path mark, an action direction arrow, and a voice reminder. It is similar to the video of the walking navigation display method of the AutoNavi map. For places with passive positioning conditions, AR technology ...

Embodiment 3

[0160] Such as Figure 7 As shown, the difference between this embodiment and Embodiment 1 is that this embodiment provides a device for evacuating people gathered in public places driven by big data, including an acquisition unit, a discrete map construction unit, a path map construction unit, a personnel positioning unit, Personnel classification unit, navigation path generation unit, evacuation path calculation unit, output unit;

[0161] The acquisition unit is used to acquire scene-related information data of the shopping mall and crowd characteristic data of the shopping mall;

[0162] The discrete map construction unit is configured to construct a two-dimensional discrete map of the mall according to the scene-related information data of the mall;

[0163] The path map construction unit is used to set navigation points according to the two-dimensional discrete map of the shopping mall; construct a path map based on the distance between the navigation points and adjacen...

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Abstract

The invention discloses a large data-driven method and device for evacuating gathered crowds in public places, including acquiring scene-related information data of public places and crowd characteristic data of public places; Discrete map: According to the two-dimensional discrete map of public places, set navigation points and construct route maps; according to the location distribution of navigation points, use the regional positioning method based on multi-modal data to locate personnel and obtain the location information of personnel; according to public places According to the crowd characteristic data, the people in public places are classified by the classification method of people in public places, and the classification results of the people to be evacuated are obtained; according to the classification results, the navigation destination is set according to the type of people; and according to the location information of the navigation destination and people, update The path map generates navigation paths for various types of personnel; thus, the shortest effective distance from the navigation point on the three-dimensional map to the exit is obtained as the 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/26G06Q10/04G06F16/29G06F16/28G06F16/2458
CPCG06Q50/265G06Q10/047G06F16/29G06F16/285G06F16/2462
Inventor 付佳冯灏张软玉曾阳阳尹玄鲲
Owner 枫树谷(成都)科技有限责任公司
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