现代编程技术在结构监测软件系统中的应用  

Application of Contemporary Programming Techniques in Structural Health Monitoring Software System

作　　者：单德山[1] 王蕊[1] 董俊[1] 杨景超[1] 张少雄[1] 李乔[1] 

机构地区：[1]西南交通大学土木工程学院,四川成都610031

出　　处：《重庆交通大学学报（自然科学版）》2013年第S1期734-737,783,共5页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：国家自然科学基金项目(51078316);四川省科技计划项目(2011JY0032);铁路科技研究开发计划项目(2011G026-E;2012G013-C)

摘　　要：为从实测数据中获取更多的桥梁结构状态信息,基于.NET Framework 4.0平台和Windows 7操作系统,采用Microsoft Visual Studio 2010和Microsoft SQL Server 2008数据库作为系统开发工具,研发了以数据分析和处理为主要功能的桥梁健康监测软件系统。采用了Windows Presentation Foundation(WPF)技术、Model-View-View Model(MV-VM)设计模式、Server Management Objects(SMO)技术、Code First等现代编程技术;同时结合桥梁养护维修规范,完成了某油气管道跨越结构健康监测软件系统的开发。介绍了该系统的开发目标、现代编程技术、架构设计、功能设计、数据库设计、关键技术等。经实测数据验证,该系统具有强大的数据分析和处理能力,能够准确实现结构状态预警,可对悬索跨越结构进行状态评估。In order to obtain more information of bridge condition from the field data,Microsoft Visual Studio 2010 and SQL Server 2008 were employed as the developing tools to develop the software system for bridge health monitoring based on the.NET Framework 4.0 and Windows 7 operation system.Windows Presentation Foundation(WPF) interface framework,Model-View-View Model(MVVM) Framework,Server Management Objects(SMO),CODE FIRST and Multithread Techniques,were adopted.With modern programming techniques mentioned above and bridge technical and maintenance specification,one specific health monitoring software system of suspension spanning structure for one certain oil and gas pipeline was developed.The design of health monitoring software system was presented herewith from aspects of the development goal,contemporary programming techniques,framework design,function design,database design and key technologies.Some experimental measurements were adopted to test and verify the specific software,and the results show that the system owns powerful data analysis and processing capability and can make rational and correct decision for early warning and assessment of suspension spanning structure.

关 键 词：健康监测软件系统 WPF MVVM CodeFirst SMO 测试验证 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]