摘要
针对海缆部署环境复杂,不利于现场检测的问题,设计了基于MapWinGIS的海缆故障数据全方位可视化系统。为了准确有效检测出新型多模光纤海缆故障,在系统底层构建了布里渊分析模型,利用布里渊特性分析将采集到的数字信息转换成具有实际意义的关联信息,根据温度与应变计算海缆的全方位状态数据,包含各类故障数据及其波形。系统中间层对数据做特征提取、重构,降低数据的冗余度,得到海缆故障的类型和位置。系统上层实现海缆数据分析结果和模拟波形的显示。通过仿真海缆故障,验证了布里渊特性分析具有良好的抗噪和拟合效果,能够准确捕获到各类故障造成的参数异常情况,设计的海缆故障可视化系统能够全面准确的监测海缆的故障类型及其故障位置,提高海缆故障监测的整体性能。
In view of the complex deployment environment of submarine cable,which is not conducive to on-site detection,a comprehensive visualization system of submarine cable fault data based on MapWinGIS is designed.In order to accurately and effectively detect the fault of the new multimode fiber-optic submarine cable,the Brillouin analysis model was constructed at the bottom of the system.Based on the analysis of Brillouin characteristics,the collected digital information was transformed into practical correlation information,and the omnidirectional state data of submarine cable was calculated according to the temperature and strain,including all kinds of fault data and their waveforms.The middle layer of the system extracted and reconstructed the features of the data,reduced the redundancy of the data,and obtained the type and location of the submarine cable fault.The upper layer of the system realized the display of data analysis results and simulation waveforms of submarine cables.Through the simulation of submarine cable fault,it is verified that Brillouin characteristic analysis has a good anti-noise and fitting effect,and can accurately capture the abnormal parameters caused by various faults.The designed submarine cable fault visualization system can comprehensively and accurately monitor the type and location of submarine cable fault,and improve the overall performance of submarine cable fault monitoring.
作者
施鑫麒
陈元林
安博文
SHI Xin-qi;CHEN Yuan-lin;AN Bo-wen(School of Information Engineering,Shanghai Maritime University,Shanghai 201306,China)
出处
《计算机仿真》
北大核心
2021年第8期264-268,共5页
Computer Simulation
基金
中国博士后科学基金(2015M571545)。
关键词
海缆故障数据
布里渊特性
特征提取
小波分解
可视化仿真
Submarine cable fault data
Brillouin property
Feature extraction
Wavelet decomposition
Visual simulation
