基于多摄像头边云协同视频请求的智能监控预警方法研究  

Research on Intelligent Monitoring and Warning Method Based on Multi camera Edge Cloud Collaborative Video Request

作　　者：潘剑 李喆 韦屹 陈智斌[1] 梁冬[1] Pan Jian;Li Zhe;Wei Yi;Chen Zhibin;Liang Dong(China Tobacco Guangxi Industrial CO.,LTD.,GuangXi LiuZhou 530000)

机构地区：[1]广西中烟工业有限责任公司,广西柳州530000

出　　处：《现代科学仪器》2024年第2期186-190,共5页Modern Scientific Instruments

摘　　要：多摄像头边云协同视频已被广泛运用于智能化生活的各个领域,采用边云协同模式已然成为摄像头视频智能监控的数据处理的发展趋势。为了实现对多摄像头边云协同的视频请求任务的高精度检测,此次研究提出在基于多摄像头边云协同请求下的智能监控预警方法。采用边缘计算和云计算的紧密协同处理,在边云协同的数据协同能力下以较低成本完成对数据的高效处理。在多摄像头请求下的边云协同视频的智能监控预警,对视频数据进行处理与分析,提出利用网状关联分析的智能预警模型进行判定。对单摄像头与多摄像头下智能监控预警方法检测的准确率进行分析。得出该方法的检测准确率最高,且每项的检测准确率均在97%左右,证明了其在智能监控预警中的可靠性与有效性。Multi camera edge cloud collaborative video has been widely used in various fields of intelligent life,and the use of edge cloud collaborative mode has become a development trend in data processing for camera video intelligent monitoring.In order to achieve high-precision detection of video request tasks for multi camera edge cloud collaboration,this study proposes an intelligent monitoring and warning method based on multi camera edge cloud collaboration requests.The close collaborative processing of edge computing and cloud computing is adopted to complete efficient data processing at a lower cost under the data collaboration capability of edge cloud collaboration.Intelligent monitoring and warning of edge cloud collaborative video under multi camera requests,processing and analyzing video data,and proposing an intelligent warning model using mesh correlation analysis for judgment.Analyze the accuracy of intelligent monitoring and warning methods for single camera and multi camera detection.The detection accuracy of this method is the highest,and the detection accuracy of each item is around 97%,proving its reliability and effectiveness in intelligent monitoring and early warning.

关 键 词：边云协同 智能监控预警 多摄像头 网状关联分析 云端信息处理 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]