利用大数据分析改进智能安防系统的性能和效率  

Using big data analysis to improve the performance and eficiency of intelligent security systems

作　　者：崔锦龙 孟庆颖 王兵 CUI Jinong;MENG Qingying;WANG Bing(Qingdao Hisense TransTech Co.,Ltd.,Qingdao 266000,China)

机构地区：[1]青岛海信网络科技股份有限公司,山东青岛266000

出　　处：《中国高新科技》2024年第24期25-27,共3页

摘　　要：针对现行智能安防系统在处理海量监控数据、精准识别潜在威胁及实时响应等方面的局限性,文章从数据采集与集成处理、异常行为识别与分析等多个方面,深入探讨了如何有效利用大数据分析技术提升智能安防系统的整体性能与运行效率。旨在为构建更智能化、精确化、高效的安防体系提供理论支持与技术解决方案。In response to the limitations of current intelligent security systems in processing massive monitoring data,accurately identifying potential threats,and real-time response,this article explores in depth how to effectively utilize big data analysis technology to improve the overall performance and operational efficiency of intelligent security systems from multiple aspects such as data collection and integration processing,abnormal behavior recognition and analysis.Intended to provide theoretical support and technical solutions for building a more intelligent,precise,and efficient security system.

关 键 词：大数据分析 安防系统 行为识别 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]