Urban community specific person behavior chain dynamic identification and prediction evaluation method and system

Abstract

The invention discloses an urban community specific person behavior chain dynamic identification and prediction evaluation method and system, and belongs to the technical field of application information. The method comprises the following steps of: 1, simulating daily activities of specific persons in an urban community by using a multi-agent simulation technology; 2, based on the simulation result in the step 1, establishing a behavior chain library of specific persons in the urban community in different behavior modes; 3, acquiring trajectory data of the specific persons by using Internet-of-things sensing equipment, performing trajectory calibration and serialized modeling, and establishing behavior chains; and 4, searching similar complete behavior chains in the behavior chain libraryaccording to the space-time similarity among the behavior chains, carrying out updating, and optimizing a search result to realize dynamic identification and prediction evaluation of the behavior chains of the specific persons in the urban community. The system is used for realizing the method. Technical support is provided for specific person management and control work of a community public security management department. Dynamic identification and prediction evaluation are carried out on the behavior chains of the specific persons.

Description

technical field [0001] The invention specifically relates to a dynamic identification and prediction evaluation method and system for a specific human behavior chain in an urban community, belonging to the field of applied information technology. Background technique [0002] The current research on the trajectory of a specific person is based on the premise of collecting the behavior trajectory data of a specific person through various sensors and analyzing the abnormality of the behavior trajectory, but there are two problems: (1) The behavior chain is not continuous: the actual In the process of application, it is difficult to obtain high-density, space-time continuous trajectory data of a specific person, so the behavior chain of a specific person is highly sparse and discontinuous; (2) Behavior chain lag: Even if a small number of trajectory points of a specific person are detected, However, after identification, data transmission and other processes, the response of th...

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Problems solved by technology

[0002] The current research on the trajectory of a specific person is based on the premise of collecting the behavior trajectory data of a specific person through various sensors and analyzing the abnormality of the behavior trajectory, but there are two problems: (1) The behavior chain is not continuous: the actual In the process of application, it is difficult to obtain high-density, space-time continuous trajectory data of a specific person, so the behavior chain of a specific person is highly sparse and discontinuous; (2) Behavior chain lag: Even if a small number of trajectory points of a specific person are detected, However, after identification, data transmission and other processes, the response of the police department has always lagged behind the specific person's space-time trajectory

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