基于以太网的船舶电力系统动态电能质量监测与故障诊断系统设计  

Design of dynamic power quality monitoring and fault diagnosis system of ship-power system based on Ethernet

作　　者：胡红钱[1] 施伟锋[1] 兰莹[1] 卓金宝 

机构地区：[1]上海海事大学物流工程学院,上海201306

出　　处：《中国舰船研究》2018年第1期120-126,共7页Chinese Journal of Ship Research

基　　金：国家自然科学基金资助项目(61503240);高等学校博士学科点专项科研基金资助项目(20123121110003);上海海事大学研究生创新基金资助项目(2015ycx072)

摘　　要：[目的]现代船舶电力系统的信息化、自动化、智能化和安全运行的要求越来越高,传统的基于现场总线的船舶电力信息交换系统已经无法满足要求。[方法]通过Modbus/TCP工业以太网弥补现场总线的不足,并在此基础上联合船舶电力系统现场总线采集的固有数据和在线测量装置采集的实时数据建立数据中心,结合相关性理论和神经网络智能算法进行大数据分析,[结果]完成船舶电力系统动态电能质量监测与故障诊断,并用LabVIEW实现人机界面设计。[结论]通过实验室平台验证了该方案软、硬件实现的可行性。[Objectives]According to situation that the ship power information exchange system based on the traditional field bus has been unable to meet the needs of modern ship power system for informatization,automation, intelligent and safe operation.[Methods]This paper proposes the use of industrial Ethernet Modbus/TCP to make up for lack of field-bus. Then, the data center is established by collecting the inherent data of the field bus of the combined ship power system and collecting the real-time data from the online measurement device based on the Modbus/TCP. Correlation theory and neural network intelligent algorithm are used to analyze big data to complete the dynamic power quality monitoring and fault diagnosis of ship power system.[Results]Finally, the man-machine interface is designed with LabVIEW.[Conclusions]The feasibility of the software and hardware implementation of the scheme is verified by the laboratory platform.

关 键 词：船舶电力系统 大数据 相关性 故障诊断 LABVIEW 

分 类 号：U665.1[交通运输工程—船舶及航道工程]