安防大数据的挑战在宽带化、移动互联网、物联网、社交网络、云计算的催生下,大数据时代翩然而至。大数据时代的数据不仅仅是数据总量的庞大,同时也是种类的庞大。安防行业有着海量的视频、图片数据,一个大型城市每天产生的数据就可以达到1 PB,同时还有飞速增长的特征数据,包括卡口过车数据、人脸抓拍数据、报警数据等。繁多的数据种类、PB级的数据量、低价值密度的视频数据、快速的数据更新处理需求,这些特性都预示着安防行业已经进入大数据时代。看,数据经历了采集->传输->存储->处理这几个过程,存储和处理需要大量的服务器,占用了安防系统80%以上的 Security Big Data Challenge In the broadband, mobile Internet, Internet of things, social networking, cloud computing gave birth, the era of big data comes to light. Big data era data is not only the huge amount of data, but also a huge variety. Security industry has a huge amount of video and image data. The data generated by a large city can reach 1 PB every day. There are also the characteristic data of rapid growth including bayonet data, face capture data and alarm data. A wide range of data types, petabytes of data, low value-density video data, and fast data update processing requirements all signal the security industry’s entry into the big data age. Look, the data has gone through the collection -> Transfer -> Storage -> process these processes, storage and processing requires a large number of servers, accounting for more than 80% of security systems