重大突发事件背景下海量警务数据智能化应用技术研究

Research on Intelligent Application Technology of Massive Police Data in the Context of Major Emergencies

在应对重大突发事件时,公安执法部门面临的最大挑战是如何及时、准确、智能地处理各类前端采集设备所传送的海量且繁杂的多源异构警务数据。在此情境下,警务工作成效的关键在于数据采集的实时性、处理的准确性和决策的智能化,这要求警务数据系统应具备快速响应、精准分析和智能决策的能力。然而,目前的警务数据处理系统仍然依赖于人力进行筛查和分析,导致在应对重大事件时效率低下。因此,如何深度应用海量警务数据,充分挖掘其中有价值的信息,是警务现代化进程中亟待解决的难题之一。本文深入分析当前我国在重大突发事件背景下警务数据的应用现状及问题,提出深化警务数据应用的对策,将数字孪生与知识图谱技术相结合,实现对海量警务数据的智能化分析与应用,为探索构建具备安全防范风险感知与态势分析效能的全新警务模式提供了参考。

When dealing with major emergencies,it poses the greatest challenge for public security law enforcement departments to timely,accurately and intelligently process the massive and complicated multi-source heterogeneous police data transmitted by various front-end collection devices.Under the background of major emergencies,the effectiveness of police work hinges on the real-time data collection,the accuracy of processing,and the intelligence of decision-making.This necessitates a police data system capable of rapid response,accurate analysis,and intelligent decision-making.However,current police data processing systems still rely on manual screening and analysis,resulting in inefficiencies during major incidents.Therefore,how to leverage massive police data and fully extract valuable information from it is one of the difficult problems to be solved in the process of police modernization.This paper first conducts a thorough analysis of the current situation and problems of police data application in China’s police work during major emergencies,followed by the proposal of countermeasures for the in-depth application of police data.Ultimately,digital twin and knowledge graph technology are combined to realize the intelligent analysis and application of massive police data,thereby establishing a new policing model with capabilities for security risk perception and situation analysis.