特大型桥梁养护信息融合技术
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摘要
为促进信息融合技术在桥梁管养决策中的应用,进一步推动桥梁工程领域的信息化进程,建立了特大型桥梁的养护信息融合框架。首先,分析了基于建设阶段和运营阶段的特大型桥梁纵、横向信息来源和流转路径。其次,提出了数据级、特征级和决策级3个信息融合层级,并阐述了各层级信息融合的主要内涵。再次,构建了由实施保障、流程保障、标准保障、模型保障组成的信息融合保障体系。最后,以港珠澳大桥的管养信息平台为例,阐述了信息融合技术在桥梁工程领域中的应用。结果表明,信息融合技术有助于构建规模巨大、构造复杂的特大型桥梁管养系统,并可有效提升管养决策的客观性。
To promote the application of information fusion technique in the decision-making of management and maintenance of bridge,and further promote the information progress in the field of bridge engineering,we established a framework based on the maintenance information fusion for bridges.Firstly,we analyzed information sources and transfer paths in construction and operation stages of bridges from enterprises and administration.Secondly,we proposed 3 levels of information fusion,including the data level,feature level,and decision-making level,and explained corresponding connotations at different levels.Thirdly,we constructed a guarantee system of information fusion consisting of the implementsupport,procedure support,standard support and model support.Finally,taking the maintenance information platform of the Hong Kong-Zhuhai-Macau Bridge as an example,we demonstrated the application of the information fusion technique in the bridge engineering.The results show that the information fusion technique is helpful to build a huge and complex maintenance system for bridges and can effectively enhance the objectivity of decision-making strategy.
To promote the application of information fusion technique in the decision-making of management and maintenance of bridge,and further promote the information progress in the field of bridge engineering,we established a framework based on the maintenance information fusion for bridges.Firstly,we analyzed information sources and transfer paths in construction and operation stages of bridges from enterprises and administration.Secondly,we proposed 3 levels of information fusion,including the data level,feature level,and decision-making level,and explained corresponding connotations at different levels.Thirdly,we constructed a guarantee system of information fusion consisting of the implementsupport,procedure support,standard support and model support.Finally,taking the maintenance information platform of the Hong Kong-Zhuhai-Macau Bridge as an example,we demonstrated the application of the information fusion technique in the bridge engineering.The results show that the information fusion technique is helpful to build a huge and complex maintenance system for bridges and can effectively enhance the objectivity of decision-making strategy.
引文
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[13]Aman Bolar,Solomon Tesfamariam,Rehan Sadiq.Condition Assessment for Bridges:A Hierarchical Evidential Reasoning(HER)Framework[J].Structure&Infrastructure Engineering,2013,9(7):648-666.
[2]徐一旻,李盛.结构健康监测系统在大型桥梁运营养护与安全管理中的应用[J].武汉理工大学学报(信息与管理工程版),2017,39(3):254-258.(XU Yi-min,LI Sheng.Application of the Structural Health Monitoring System on Large-Span Bridge Operation,Maintenance and Safety Management[J].Journal of Wuhan University of Technology(Information&Management Engineering),2017,39(3):254-258.in Chinese)
[3]郑龙,金光,钮俊.无线传感器信息融合在环境监测系统中的应用[J].无线通信技术,2015,24(2):29-33.(ZHENG Long,JIN Guang,NIU Jun.The Application of Information Fusion Based on WSN in Environment Monitoring System[J].Wireless Communication Technology,2015,24(2):29-33.in Chinese)
[4]梅帅,毛哲,杨威风.多传感器信息融合技术在环境质量监测数据处理中的应用研究[J].武汉轻工大学学报,2013,32(3):48-52.(MEI Shuai,MAO Zhe,YANG Wei-feng.Multi-Sensor Information Fusion Technology in the Monitoring of Environmental Quality Data Processing Application[J].Journal of Wuhan Polytechnic University,2013,32(3):48-52.in Chinese)
[5]李祖文,杜荣义,何增镇.多元动态交通流信息融合与交通动态信息实时诱导发布系统[J].西部交通科技,2018(6):138-141.(LI Zu-wen,DU Rong-yi,HE Zeng-zhen.Multiple Dynamic Traffic-Flow Information Fusion and Traffic Dynamic Information Real-Time Induction Release System[J].Western China Communications Science&Technology,2018(6):138-141.in Chinese)
[6]赵辰冰,齐占辉,张锁平.基于信息融合技术的多传感器大气波导探测研究[J].传感器与微系统,2014,33(4):41-43.(ZHAO Chen-bing,QI Zhan-hui,ZHANG Suo-ping.Study on Multi-Sensor Atmospheric Duct Detection Based on Information Fusion Technology[J].Transducer and Microsystem Technologies,2014,33(4):41-43.in Chinese)
[7]Dasarathy Belur V.Information Fusion in the Realm of Medical Applications-A Bibliographic Glimpse at Its Growing Appeal[J].Information Fusion,2012,13(1):1-9.
[8]张铁民,李辉辉,陈大为,等.多源传感器信息融合的农用小车路径跟踪导航系统[J].农业机械学报,2015,46(3):37-42.(ZHANG Tie-min,LI Hui-hui,CHEN Da-wei,et al.Agricultural Vehicle Path Tracking Navigation System Based on Information Fusion of Multi-Source Sensor[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(3):37-42.in Chinese)
[9]Zhang Xi,Zhang Yuanjia,Wang Senzhang,et al.Improving Stock Market Prediction Via Heterogeneous Information Fusion[J].Knowledge-Based Systems,2018,143:236-247.
[10]Zhu Weidong,Wang Yiling,Wu Yong,et al.A Fusion Model for Securities Analysts′Stock Rating Information Based on the Evidential Reasoning Algorithm Under Two-Dimensional Progressive Recognition Framework[J].International Journal of Security and its Applications,2016,10(7):213-228.
[11]Zonta Daniele,Bruschetta Federico,Zandonini Riccardo,et al.Sensor Fusion on Structural Monitoring Data Analysis:Applicationto a Cable-Stayed Bridge[J].Key Engineering Materials,2013,569/570:812-819.
[12]李艳凤,于欢,梁力.基于多因素数据融合的PC斜拉桥安全评估[J].大连交通大学学报,2018,39(3):95-99,114.(LI Yang-feng,YU Huan,LIANG Li.Study on PCCable-Stayed Bridge Safety Evaluation Based on Multi-Factor Data Fusion[J].Journal of Dalian Jiaotong University,2018,39(3):95-99,114.in Chinese)
[13]Aman Bolar,Solomon Tesfamariam,Rehan Sadiq.Condition Assessment for Bridges:A Hierarchical Evidential Reasoning(HER)Framework[J].Structure&Infrastructure Engineering,2013,9(7):648-666.