首页|基于Petri网的情指行合成应急处置流程建模与效能分析——以温州市公安局为例

基于Petri网的情指行合成应急处置流程建模与效能分析——以温州市公安局为例

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为解决现有公安机关应急处置流程无法直观展现各环节的联动性而难以优化流程的问题,以系统分析视角梳理我国公安机关情指行合成应急处置流程,基于随机Petri网理论构建基于"情指行"一体化理论的应急流程模型;运用Tina Toolbox软件构建应急处置流程的模型,验证模型的可行性;以可达树算法同构的马尔可夫链计算公安机关应急处置流程随机Petri网模型的性能指标,识别流程的关键节点,并以浙江温州市公安局情指中心实际案例数据为基础进行仿真分析.研究结果表明:公安应急处置流程的关键节点为"出警"环节,并根据仿真结果给出优化建议,为应急管理流程优化提供参考.
Modeling and Efficiency Analysis of Synthetic Emergency Response Process of Intelligence-Command and Action Based on Petri Network——Taking Wenzhou Public Security Bureau as an example
To solve the problem of the existing emergency response process of public security organs being unable to intuitively show the linkage of each link and difficult to optimize the process,the synthetic e-mergency response process of public security organs in China was sorted out from the perspective of sys-tem analysis,and an emergency process model based on the integration theory of intelligence,command and action was constructed based on the stochastic Petri net theory.Tina Toolbox software was used to build a model of the emergency response process,and the feasibility of the model was also verified.The performance indicators of the stochastic Petri net model for the emergency response process of the public security organ were calculated by using the Markov chain isomorphic with the reachable tree algorithm,the key nodes of the process were identified,and the simulation analysis was carried out based on the ac-tual case data from the Wenzhou Public Security Bureau Information Center in Zhejiang Province.The re-suits indicated that the key node of the public security emergency response process was the"police"stage,and the optimization suggestions based on simulation results could provide reference for optimizing the emergency management process.

stochastic petri netemergency managementthe integration of intelligence,command and action

段毅珂、王欣、周戎戎

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中国人民公安大学国家安全学院,北京 100038

浙江省温州市公安局情指中心,浙江温州 325000

随机petri网 应急管理 情指行一体化

2024

中国人民公安大学学报(自然科学版)
中国人民公安大学

中国人民公安大学学报(自然科学版)

影响因子:0.33
ISSN:1007-1784
年,卷(期):2024.30(4)