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出 处:《中国公共安全(学术版)》2015年第2期68-73,共6页China Public Security(Academy Edition)
摘 要:针对大规模卡口系统的跨地域整合,分析了大规模卡口系统的需求特征和瓶颈;提出了利用开源分布式计算框架Hadoop来完成系统整合;通过对伴随车辆相似性检测应用的分析,提出了利用时间基线重叠法来解决时间基准无法选择的问题,通过求解最大公共子串和时间聚类分析实现了检测算法;给出了套牌车、临近点应用的分析流程。最后通过对系统的实际功能测试和性能测试,与传统的关系型数据库相比,验证了整合后的系统性能能够满足预定要求。For the across- region integration of gate system, an forward at first. The open-source distributed framework, called task. By analyzing the detection of accompanying cars, which is analysis for the requirements and bottleneck is put Hadoop, is employed to accomplish the integration a classic application in gate system, a time-baseline overlapping method is employed to solve the problem of selecting time reference. Then the longest common sub-string location and time series clustering analysis are combined to accomplish the detection task. Thereafter, the analyzing procedure for fake-licensed car and near-point car is put forward. After the adopting functional and performance experiments on the new system, compared with the relational database, the performance of this new system can achieve the pre-concerted objective.
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