RoFab-4iDM: Robotic Fabrication of Tunnel Services using Industry 4.0 for Intelligent Distributed Manufacturing

RoFab-4iDM:利用工业 4.0 实现智能分布式制造的隧道服务机器人制造

基本信息

  • 批准号:
    10080713
  • 负责人:
  • 金额:
    $ 48.39万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Collaborative R&D
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

**_Robotic Fabrication of Tunnel Services using Industry 4.0 for Intelligent Distributed Manufacturing (_**_RoFab-4iDM) addresses safety and productivity problems that occur when fabricating customised mechanical and electrical (M&E) installation bracketry within rail and infrastructure tunnels._**_RoFab-4iDM will radically improve productivity and worker safety by integrating survey, inspection, machining and additive manufacturing operations within an integrated, autonomous "survey-\>design-\>manufacture-\>install" system._****_South Korean partners will apply this technology automating metal pipework repairs within tunnels._**We will combine conventional test techniques with machine learning (ML) and artificial intelligence (AI) to create a digital control environment capable of assessing and designing welds, fabrication, machining and additive manufacturing without human decision-making.**_Innovating to solve real-world problems: Improve worker safety; saving UK taxpayers £16,000 per km_ tunnel built.**RoFab-4iDM has immediate application for tunnelling projects including HS2, capturing benefits of autonomous robotics, while forming tunnel structures using conventional, cost-effective, precast concrete (PCC).No other system of this kind is available.**The issue:**Rail tunnel M&E services are fitted to racking bolted to inserts cast into PCC tunnel sections. Installation tolerance build-up (due to 'roll' of PCC sections) means inserts are often out of position. Safety rules forbid welding and deter drilling new inserts inside tunnels. Therefore, many brackets need bespoke adaptions.**Our proposal:**RoFab-4iDM will combine tunnel design models with as-constructed 3D survey data, using AI to automate design and manufacture of customised bracketry. Each bracket will precisely suit the as-installed inserts, enabling fast robotic installation.* **Precisely determine as-installed position of each insert** - automated scanning rig survey creates digital 3D representation.* **Position-specific, customised standard bracket design** created by AI using digital twin.* **Fabricate bracketry offsite** -- autonomous, adaptive robotic fabrication.The project integrates proven techniques/technologies with a novel digital twin. The demonstrator will develop the digital twin integration from TRL5 to TRL7\.**Further markets:****_Enhancing construction productivity by creating a method for off-site mass manufactured components that are cost-efficient and bespoke._**Bridging the variance between designed ideal/predicted dimensions and as-installed would accelerate wide adoption of pre-manufactured products on construction projects.**_Autonomous repair to regulated standards within hazardous environments._** Applying RoFab-4iDM technologies to other sectors will provide a solution for welding/AM within hazardous environments, avoiding disruption from having to move damaged components to a repair workshop. Future development would be to combine all stages into a **survey-\>design-\>manufacture-\>install** platform, with applications in any industry that requires assessment, repair and remanufacture of steel materials, including rail and civil nuclear decommissioning.
** _使用行业4.0用于智能分布式制造(_ ** _ _ ** _ ROFAB-4IDM)的机器人制造隧道服务,解决了在制造自定义的机械和电气(M&E)安装括号内的安全性和生产力问题时,会在导轨和基础设施内进行自定义的机械和电气(M&E)安装括号。在整合的自主“调查 - \>设计 - \>制造 - \>安装”系统中。决策。** _创新解决现实世界中的问题:提高工人安全;储蓄英国的纳税人每公里隧道16,000英镑建造。隧道部分。安装公差积累(由于PCC部分的“滚动”)意味着插入通常是不正确的。安全规则禁止焊接并确定隧道内的新插入物。因此,许多括号需要定制的改编。每个支架将精确地适合安装的插入材料,实现快速的机器人安装。将验证的技术/技术与新颖的数字双胞胎相结合。演示者将开发从TRL5到TRL7 \。的数字双重整合。在危险环境中。未来的开发将是将所有阶段组合成**调查 - \>设计 - \>制造 - \>安装**平台,并在任何需要评估,维修和再制造钢材材料(包括铁路核电站和民用核退役)的行业中应用。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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其他文献

Metal nanoparticles entrapped in metal matrices.
  • DOI:
    10.1039/d1na00315a
  • 发表时间:
    2021-07-27
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
  • 通讯作者:
Ged?chtnis und Wissenserwerb [Memory and knowledge acquisition]
  • DOI:
    10.1007/978-3-662-55754-9_2
  • 发表时间:
    2019-01-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
A Holistic Evaluation of CO2 Equivalent Greenhouse Gas Emissions from Compost Reactors with Aeration and Calcium Superphosphate Addition
曝气和添加过磷酸钙的堆肥反应器二氧化碳当量温室气体排放的整体评估
  • DOI:
    10.3969/j.issn.1674-764x.2010.02.010
  • 发表时间:
    2010-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:

的其他文献

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    2901954
  • 财政年份:
    2028
  • 资助金额:
    $ 48.39万
  • 项目类别:
    Studentship
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    2027
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    Studentship
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可以在颗粒材料中游动的机器人
  • 批准号:
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  • 财政年份:
    2027
  • 资助金额:
    $ 48.39万
  • 项目类别:
    Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
  • 批准号:
    2908918
  • 财政年份:
    2027
  • 资助金额:
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  • 项目类别:
    Studentship
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  • 批准号:
    2908693
  • 财政年份:
    2027
  • 资助金额:
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    Studentship
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    2027
  • 资助金额:
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    Studentship
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  • 批准号:
    2879438
  • 财政年份:
    2027
  • 资助金额:
    $ 48.39万
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    Studentship
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使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
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    2890513
  • 财政年份:
    2027
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    $ 48.39万
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CDT year 1 so TBC in Oct 2024
CDT 第 1 年,预计 2024 年 10 月
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  • 财政年份:
    2027
  • 资助金额:
    $ 48.39万
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