课题基金 / 基金详情

Safety with Sensor AI and Network Environments for the Construction Industry - (SAINE-CI)

Safety with Sensor AI and Network Environments for the Construction Industry - (SAINE-CI)
建筑行业传感器人工智能和网络环境的安全 - (SAINE-CI)
批准号:
10034899
负责人:
金额:
$32.48万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

项目成果

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中文摘要
翻译
Ikeraia、City和AITIS(新加坡)之间的合作将为基础设施项目提供高度准确的、实时的物理环境数字孪生兄弟,并具有实时安全跟踪和报告功能。这一创新将有助于基础设施项目更高效、更安全地交付。它将通过允许基础设施项目在物理环境中监控工人的健康和安全,减少事故,并提高他们的工作效率来做到这一点。移动计算和遥感被英国皇家工程院确定为即将到来的IT浪潮中的两个,它们将积极地颠覆所有行业的商业模式。然而,人们普遍预计基础设施部门受益最小,因为它在将移动传感和IT整合到其业务工作流程方面缺乏准备。中小企业(伊克纳亚和AITIS)和城市之间的这种合作伙伴关系将有助于将这一技术创新交付给正在运行的基础设施项目。作为工业研究,在同一领域进行进一步的创新;该项目将提供三项关键创新:5G连接、环境和工人安全建模。
英文摘要
The collaboration between Iknaia, CITY and AITIS (Singapore) will give infrastructure projects a highly accurate, real-time digital twin of the physical environment with real-time safety tracking and reporting. This innovation will help infrastructure projects to be delivered more efficiently and safer. It will do this by allowing infrastructure projects to monitor worker health and safety, in the physical environment, reducing accidents, and improving the efficiency in which they work. Mobile computing and remote sensing have been identified by the Royal Academy of Engineering as two of the upcoming IT waves that will positively disrupt the business models of all industries. However, the infrastructure sector is widely expected to benefit the least due its lack of preparation in integrating mobile sensing and IT into its business workflows. This partnership between SME's (Iknaia and AITIS) and CITY will help to deliver this technological innovation to working infrastructure projects. Working as Industrial Research for further innovations in the same space; the project will deliver on three key innovations; 5G Connectivity, Environmental and worker safety modelling.
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人类NADPH sensor蛋白HSCARG调控机制研究
  • 批准号:
    30930020
  • 项目类别:
    重点项目
  • 资助金额:
    170.0万元
  • 批准年份:
    2009
  • 负责人:
    郑晓峰
  • 依托单位:
基于sensor agent的营养液组分动态测量与建模研究
  • 批准号:
    60775014
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2007
  • 负责人:
    陈锋
  • 依托单位: