金沙江水电工程智能建造技术体系研究与实践
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摘要
运用"全面感知、真实分析、实时控制"的智能闭环控制理论,提出了以工程建设资源要素动态精准管理、业务流程数字化管理、工艺过程智能控制、实物成本精确分析、结构安全与进度耦合分析及联动调控的数字化技术和智能化技术为核心,以水电工程数据模型如大坝全景信息模型DIM为基础,以智能建造管理平台iDam为主体的智能建造技术体系,并对工程数据结构分解与编码体系、工程数据感知传输共享技术、iDam平台的系统架构与业务架构、智能建造工程绩效等关键技术进行了分析。通过统一规范的工程数据结构与编码体系,iDam平台可集成工程建设全过程的基础数据、环境数据、过程数据和监测数据,为各业务模块服务;建立的基于工程技术和管理大数据的机理分析功能,可为工程建设的业主、施工、监理、设计、科研及运行等单位服务。智能建造初步实践表明,本文构建的技术体系是科学可行的,对基础设施智能建造技术与管理体系的研究与实践具有参考价值。
Facing the challenges of complex environment,condition changes,resource flow,structural transformation and behavior adjustment of large hydropower projects in the lower reaches of the Jinsha River,an intelligent construction technology system has been established to focus on the whole life cycle safety of large-scale hydropower projects from the engineering planning,construction,and operation. This intelligent system adopts the principle of intelligent closed-loop control of"comprehensive perception, real analysis and real-time control",takes digital and intelligent technologies of resource elements digital management,digital control of business procedures, intelligent control of process flow, accurate analysis of physical costs,structural safety,coupled simulation analysis,and linkage control as its core,the hydropower engineering data model like dam panoramic information model DIM as its foundation,and the intelligent construction management platform iDam as its main body. Hence,this paper analyzes the key technologies,including engineering data structure decomposition and coding system, engineering data aware-transmissionsharing technology, the systemic architecture and business architecture of iDam platform, and the performance of intelligent construction engineering. Relying on the unified engineering data structure and coding system,the platform iDam is capable to integrate all basis data,environment data,process data,and monitoring data throughout the whole engineering process of the construction. As a result,the analysis function,based on engineering technology and management data,can be applied to different parties including owners,construction,supervision,design,R&D and operation side. This early practice of intelligent construction shows that the technical system established by this paper is scientific and feasible,which makes it a good reference for the study and application of intelligent construction technology and management system in terms of infrastructure.
Facing the challenges of complex environment,condition changes,resource flow,structural transformation and behavior adjustment of large hydropower projects in the lower reaches of the Jinsha River,an intelligent construction technology system has been established to focus on the whole life cycle safety of large-scale hydropower projects from the engineering planning,construction,and operation. This intelligent system adopts the principle of intelligent closed-loop control of"comprehensive perception, real analysis and real-time control",takes digital and intelligent technologies of resource elements digital management,digital control of business procedures, intelligent control of process flow, accurate analysis of physical costs,structural safety,coupled simulation analysis,and linkage control as its core,the hydropower engineering data model like dam panoramic information model DIM as its foundation,and the intelligent construction management platform iDam as its main body. Hence,this paper analyzes the key technologies,including engineering data structure decomposition and coding system, engineering data aware-transmissionsharing technology, the systemic architecture and business architecture of iDam platform, and the performance of intelligent construction engineering. Relying on the unified engineering data structure and coding system,the platform iDam is capable to integrate all basis data,environment data,process data,and monitoring data throughout the whole engineering process of the construction. As a result,the analysis function,based on engineering technology and management data,can be applied to different parties including owners,construction,supervision,design,R&D and operation side. This early practice of intelligent construction shows that the technical system established by this paper is scientific and feasible,which makes it a good reference for the study and application of intelligent construction technology and management system in terms of infrastructure.
引文
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[2]樊启祥.三峡泄洪坝工程施工网络进度计划研究[D].北京:清华大学,1999.
[3]金和平.大型集成化工程管理系统TGPMS设计开发与实施[J].中国工程科学,2004,6(3):80-85.
[4]陆佑楣,樊启祥,侯建刚.长江三峡枢纽工程项目管理[M]//项目管理案例.北京:清华大学出版社,2011.
[5]朱伯芳.混凝土坝的数字监控[J].水利水电技术,2008,39(2):15-18.
[6]黄声享,刘经南,吴晓铭. GPS实时监控系统及其在堆石坝施工中的初步应用[J].武汉大学学报(信息科学版),2005,30(9):813-816.
[7]马洪琪,钟登华,张宗亮,等.重大水利水电工程施工实时控制关键技术及其工程应用[J].中国工程科学,2011,13(12):20-27.
[8]钟登华,刘东海,崔博.高心墙堆石坝碾压质量实时监控技术及应用[J].中国科学(技术科学),2011,41(8):1027-1034.
[9]钟登华,常昊天,刘宁,等.高堆石坝施工过程的仿真与优化[J].水利学报,2013,44(7):863-872.
[10]燕乔,毕明亮,王立彬.碾压混凝土坝施工质量实时动态监控系统[J].三峡大学学报(自然科学版),2009,31(4):5-8.
[11]樊启祥,周绍武,洪文浩,等.溪洛渡数字大坝[C]//电力行业信息化优秀成果集2013.北京:中国电力企业联合会,2013.
[12]陆佑楣,樊启祥,周绍武,等.金沙江溪洛渡高拱坝建设的关键技术[J].水力发电学报,2013,32(1):187-195.
[13]钟登华,吴康新,任炳昱.面向对象的高拱坝施工全过程动态仿真[J].天津大学学报(自然科学与工程技术版)2007,40(8):976-982.
[14]钟登华,王飞,吴斌平,等.从数字大坝到智慧大坝[J].水力发电学报,2015,34(10):1-13.
[15]李庆斌,林鹏.论智能大坝[J].水力发电学报,2014,33(1):139-146.
[16]樊启祥,张超然,等.特高拱坝智能化建设技术创新和实践——300m级溪洛渡拱坝智能化建设[M].北京:清华大学出版社,2018.
[17]樊启祥,周绍武,林鹏,等.大型水利水电工程施工智能控制成套技术及应用[J].水利学报,2016,47(7):916-923.
[18]林鹏,李庆斌,周绍武,等.大体积混凝土通水冷却智能温度控制方法与系统[J].水利学报,2013,44(8):950-957.
[19]钟桂良,尹习双,邱向东,等.高拱坝混凝土运输过程智能控制技术研究[J].水力发电,2015(2):55-58.
[20]涂序彦,李秀山,陈凯.智能管理[M].北京:清华大学出版社,1995.
[21]樊启祥,强茂山,金和平,等.大型工程建设项目智能化管理[J].水力发电学报,2017,36(2):112-120.
[22]樊启祥,洪文浩,汪志林,等.溪洛渡特高拱坝建设项目管理模式创新与实践[J].水力发电学报,2012,31(6):288-293.
[23]水电水利规划设计总院.水电工程设计概算编制规定[M].北京:中国电力出版社,2014.
[24]刘人怀,孙凯.工程管理信息化架构研究[J].中国工程科学,2011,13(8):4-9.