摘要
为了提升车牌识别系统中海量识别数据与涉案车辆、交通违法等信息的实时分析、计算与检索性能,在对传统技术分析的基础上,针对现有系统中无法实现大数据分析与检索的问题,提出了利用Elasticsearch大数据实时检索技术构建交通大数据处理平台,在此架构上对交通识别数据进行实际测试。实验结果表明,所用技术能够有效解决目前的交通大数据检索和分析等关键问题,各项指标都满足了用户需求。
In order to enhance the functions including massive data identification, the real time analysis on the information of the involved vehicle, traffic violations, computing and retrieval performance of license plate recognition system, based on the traditional technical analysis, since the existing systems can＇t analyze and retrieve for big data, a large real-time data retrieval using Elasticsearch technology is proposed. The traffic identification data is tested on this platform. The experimental results show that the technology can effectively address key issues such as the current traffic large data retrieval and analysis. The indicators all meet the need of users.
出处
《计算机时代》
2014年第12期12-14,共3页
Computer Era
