Object management method and device based on urban community, machine readable medium and equipment

Abstract

The invention provides an object management method based on an urban community. The object management method comprises the steps of obtaining an associated track of a management object in a managementarea; matching the to-be-matched track to obtain a matched track; fusing the matching track and the associated track to obtain a fused track; and determining the relationship between different management objects based on the fusion track. According to the invention, the multi-dimensional risk perception data, such as dynamic risk perception data and static risk perception data, are associated, sothat the density and precision of the fusion track are improved. The risk of emergency management is reduced by determining the companion personnel of the management object.

Description

technical field [0001] The invention belongs to the field of security technology, and in particular relates to an object management method, device, machine-readable medium and equipment based on urban communities. Background technique [0002] The community is the basic unit of the city, with high mobility and density of people, dense distribution of living systems, difficulty in emergency management, and high vulnerability in the face of various social security risks. Therefore, risk prevention for social security is a community An important part of security management. [0003] The existing social security risk monitoring system still has the following deficiencies: [0004] Constrained by the collection mechanism, it is difficult for single-dimensional risk perception data to completely and clearly describe the trajectory of people. For example, it is difficult for the camera to capture a clear face when the light and angle are not ideal; it is difficult to correlate per...

AI Technical Summary

Problems solved by technology

[0004] Constrained by the collection mechanism, single-dimensional risk perception data is difficult to completely and clearly describe the trajectory of people. For example, it is difficult for the camera to capture a clear face when the light and angle are not ideal; it is difficult to correlate personnel information with mobile phone probes and vehicle GPS information

The existing social security risk monitoring system is based on the fusion of different data sources based on the associated information stored in the information system (such as: ID card and license plate number, ID card and mobile phone number, ID card and house number). It is difficult to synchronize the information in a timely manner, such as the flow of foreign population, one person with multiple mobile phones, changing mobile phones, changing houses, driving other than the owner of the vehicle, etc., resulting in insufficient density and accuracy of the fusion trajectory obtained only through the above-mentioned related information;

[0005] Specific personnel and personnel related to specific personnel are very likely to induce social security risks, and when emergency management forces appear near the above-mentioned risk sources, this risk will be reduced. Most of the existing social security risk monitoring systems only focus on specific populations Existing personnel in the pool, ignoring the increasing and weakening effects of non-specific personnel and emergency management roles that often travel with specific personnel

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