Research on Intelligent Application Technology of Massive Police Data in the Context of Major Emergencies
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.
major emergenciesmassive police datadigital twinsknowledge graphintelligent analysis
万方数据
维普
