期刊文献+

高拱坝智能进度仿真理论与关键技术 被引量:13

Intelligent scheduling for high arch dams
原文传递
导出
摘要 高拱坝施工过程复杂,受环境与资源影响大,进度控制困难,而施工进度仿真技术为拱坝进度控制提供了有效的管理手段。随着基于物联网的智能建造技术在溪洛渡、乌东德与白鹤滩等水电站建设过程中的深度应用,高拱坝进度仿真技术从简单人工交互逐渐向智能化方向发展。针对过去资源匹配与效率参数不能及时准确反映实际施工水平、资源配置、质量控制、性态安全,多维耦合、多方协同等各环节处于异时空状态等问题,该文提出了基于物联网与智能技术的拱坝智能进度仿真理论和智能进度仿真分析方法,总结了智能进度仿真关键技术,最后展望了重点研究方向。 The construction of arch dams is often affected by severe natural environmental conditions and the complex construction processes which slow construction progress.Construction scheduling simulations provide effective management tools for arch dam construction progress planning.Intelligent construction methods based on the Internet of Things(IoT)have been used in the construction of hydropower stations such as the Xiluodu,Wudongde and Baihetan high arch dams.During these projects,arch dam construction management has gradually evolved from simple manual interactions to intelligent systems.However,the simulation parameters often do not accurately reflect the actual construction state,so the simulation resources do not accurately match the actual conditions and schedule optimization,construction resource allocation,project coupling,and multi-party collaboration can be at very different states.Intelligent scheduling simulations based on the Internet of Things have been developed to improve construction scheduling for high arch dams.Finally,this paper summarizes the key technologies for intelligent schedule simulations and identifies key directions for future intelligent schedule simulations.
作者 王飞 刘金飞 尹习双 谭尧升 周天刚 杨支跃 冯博 杨小龙 WANG Fei;LIU Jinfei;YIN Xishuang;TAN Yaosheng;ZHOU Tiangang;YANG Zhiyue;FENG Bo;YANG Xiaolong(PowerChina Chengdu Engineering Corporation Limited,Chengdu 611130,China;China Three Gorges Projects Development Co.,Ltd.,Chengdu 610041,China)
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2021年第7期756-767,共12页 Journal of Tsinghua University(Science and Technology)
基金 中国长江三峡集团有限公司科研项目资助(BHT/0808)。
关键词 高拱坝 施工进度 智能仿真 大数据 物联网 high arch dams construction scheduling intelligent simulations big data Internet of Things
  • 相关文献

参考文献18

二级参考文献124

共引文献309

同被引文献329

引证文献13

二级引证文献88

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部