船舶装备在线采购异常信息智能检测系统

Intelligent detection system for online procurement of abnormal information for Marine equipment

针对传统船舶装备在线采购异常信息检测系统,信息检测速率低的问题,设计分布式船舶装备在线异常信息智能检测系统。设计出入局信息采集设备,对采购信息进行分光收集,建立信息应用层,将采集信息进行IP协议还原和TCP协议还原,形成数据流存储于协议层内,建立规则树,将规则异常数据与数据流进行匹配,实现船舶装备在线采购异常信息检测。实验数据表明,相比较传统检测系统,设计的分布式异常信息检测系统检测速率提高近17%,具有更高的信息智能检测效率。

Aiming at the problem of low information detection rate of traditional online abnormal information detection system of shipping equipment, a distributed online abnormal information detection system of shipping equipment is designed. On ship's online purchasing IDC room set out information collection equipment bureau, to spectral collection of online purchasing information, improve the quantity of information collection, based on the principle of IP fragmentation, use IP restructuring and reorganization of TCP model on information collection equipment information collected data reduction and data type classification, set up the application layer, finally the rules of anomaly detection method, the restructuring of the data within the application layer rule tree matching, realize ship equipment procurement online abnormal information detection, complete detection system design. Experimental data show that compared with the traditional detection system, the detection rate of the designed distributed abnormal information detection system is increased by nearly 19%, with higher information intelligent detection efficiency.