中圖分類號(hào)： TP391.44 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.211773 中文引用格式： 張立志，李學(xué)文. 基于Hadoop的應(yīng)急聯(lián)防移動(dòng)處置平臺(tái)設(shè)計(jì)[J].電子技術(shù)應(yīng)用，2022，48(4)：90-93，97. 英文引用格式： Zhang Lizhi，Li Xuewen. Design of mobile disposal platform for emergency and joint defense based on Hadoop[J]. Application of Electronic Technique，2022，48(4)：90-93，97.
Design of mobile disposal platform for emergency and joint defense based on Hadoop
Zhang Lizhi1，2，Li Xuewen2，3
1.College of Engineering，Xi′an International University，Xi′an 710077，China； 2.Xi′an Xike Security Technology Co.，Ltd.，Xi′an 710054，China； 3.College of Safety Science and Engineering，Xi′an University of Science and Technology，Xi′an 710054，China
Abstract： In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop, uses HDFS Streaming to read video data, and uses the MapReduce framework to calculate Distributed analysis of video data in the cluster, using OpenCV integrated LBPH algorithm to achieve effective tracking of video targets. The platform functions cover the entire process of safety management and emergency joint defense, such as sample information collection, hidden danger discovery, information release, and emergency response. It can directly serve the emergency site management, with strong adaptability and convenience.
Key words : Hadoop；image recognition；OpenCV；emergency joint defense
