Design And Implementation Of Public Security Intelligence Research And Analysis System Based On Big Data

Based on the actual needs of public security intelligence research and analysis,in this thesis,we adopt cloud computing and big data technology to design an intelligence research and analysis system to meet the demands for informatization of public security system.This system can effectively collect and organize public security data,provide data analysis and mining services to support the development of public security working system,and design an application system that serves as crime prediction,command assistant of the police actions and criminal investigation after the crime.By further researching the application of big data technology in public security information research and analysis,we aim to change the current situation where it is difficult for public security information analysis to carry on when confronted with massive information,make full use of the accumulated public security data,and improve the efficiency of information analysis.In this thesis,we first summarize the background information of public security intelligence research and analysis system and point out the shortcomings of public security police management in the field of intelligence analysis.Then,we propose an intelligence analysis platform to help the crime prediction,post-analysis and scientific decision-making,which is of significance and have a profound impact on public security social security management.This system is developed based on analysis of the technical features and working principles of the core technologies such as Spring,Struts2,J2 EE,etc.,the demand of the public security intelligence research and analysis system,different users' function use cases,core business processes,system function,etc.After the scale of system function and management objectives were clarified,we point out the system non-functional requirements and the principle of cautiousness in designing the public security intelligence research and analysis system.After that,the basic system architecture is constructed in general.To be more specific,the application architecture indicates the multi-level application function of the system and the technical architecture determines the core technology and technology role of the system development,while the network architecture provides network support framework and hardware deployment for stable operation environment.Functional module structure design describes the system's functional components and their inter-relationship,namely system login,feature analysis,frequency analysis,reasoning analysis,cluster analysis,chain analysis,personnel space-time analysis,vehicle space-time analysis,personnel relationship group orientation analysis,collision analysis and system management.Finally,we build the system database.Through the detailed design by UML modeling and programs,we realizes the specific functions of the public security intelligence research and analysis system,and tests the system's functions,data integrity and performance.The results show that the system functions appropriately and stably,which can be released online..In conclusion,our proposed public security intelligence research and analysis system,based on big data,manage to realizes the collection,integration,analysis,excavation and comprehensive utilization of public security data,effectively improve the ability of public security data management and information analysis,assists the police work of public security organs in case detection,maintaining social stability and monitoring key personnel,improve the efficiency of public security organs and the ability of investigation and detection,so as to serve the public,and provide security organs with information and decision support for the goal of "quick response,accurate attack and overall control".