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导管架平台结构实时健康安全监测系统
引用本文:万军,田育丰,石保忠,吴景健. 导管架平台结构实时健康安全监测系统[J]. 中国海洋平台, 2020, 0(3): 94-100
作者姓名:万军  田育丰  石保忠  吴景健
作者单位:中海石油(中国)有限公司天津分公司;天津大学建筑工程学院
基金项目:“十三五”国家科技重大专项——渤海油田高效开发示范工程(编号:2016ZX05058004002)。
摘    要:以渤海某导管架平台为例,研发一套针对该平台的结构实时健康安全监测系统。基于数字模型分析和现场情况,确定传感网络测试系统的布置方案和安装工艺。使用LabVIEW工具和云同步技术,实现对不同类型测试数据的同步、存储和传输。云端数据经数据分析处理系统的特征提取和模式识别,实现对平台状态模式和健康状况的实时评估和预警,经安全评估预警系统及时向现场作业人员和管理单位进行反馈。系统经过1 a时间的运行观察,对平台状态模式的识别准确率达85%,能够有效反馈结构健康状况,并辅助现场作业人员和管理单位对异常情况进行科学决策。

关 键 词:导管架平台  健康监测  传感网络  神经网络  剩余寿命

Real-Time Health and Safety Monitoring System of Jacket Platform Structure
WAN Jun,TIAN Yufeng,SHI Baozhong,WU Jingjian. Real-Time Health and Safety Monitoring System of Jacket Platform Structure[J]. China offshore Platform, 2020, 0(3): 94-100
Authors:WAN Jun  TIAN Yufeng  SHI Baozhong  WU Jingjian
Affiliation:(Tianjin Branch,China National Offshore Oil Corporation,Tianjin 300452,China;School of Civil Engineering,Tianjin University,Tianjin 300072,China)
Abstract:Taken a jacket platform in Bohai Sea as an example, a real-time health and safety monitoring system is developed for this platform structure. Based on the digital model analysis and actual conditions on site, the layout plan and installation technology of the sensor network measure system is confirmed. Different kinds of monitoring data are synchronized, stored and transferred with LabVIEW software and cloud synchronization technology. The feature extraction and pattern recognition technologies are used for the cloud data by data analysis and processing system. The real-time assessment and early warning for status patterns and health status of the platform structure can be achieved. The information will be fed back to the operators on site and management on time by security assessment and early warning system. After 1 year of operation observation, the state model recognition accuracy of jacket platform by this system can reach 85%. The structure health status can be fed back effectively. The operators on site and management can be assisted to make scientific decisions on abnormal situations.
Keywords:jacket platform  health monitoring  sensor network  neural network  residual life
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