AI-Based Health and Safety Training in in Offshore Construction (SafeSite)
AI-Based Health and Safety Training in in Offshore Construction (SafeSite)
批准号:
10078012
负责人:
金额:
$6.36万
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
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
SafeSite是一个开创性的研究项目,旨在彻底改变海上建筑行业的健康和安全培训。该项目解决了提高行业安全标准的迫切需求,该行业在2021/22年度报告了56.5万起事故和123人死亡。传统的培训方法已被证明是无效的,需要创新的解决方案。SafeSite是一款基于人工智能的虚拟现实(VR)健康和安全培训工具,旨在补充Core Systems Software Ltd .的Core建筑项目管理环境。Core Systems和V-LAB这两家领先的数字创新公司之间的合作,汇集了VR技术和建筑项目管理方面的专业知识。两家公司都已经入围了著名的TeesTech创新奖2023年的决赛。通过利用尖端的人工智能技术,SafeSite将为海上工人提供个性化和互动的健康和安全培训,与健康与安全执行局和全球风能组织培训标准提供的指导方针保持一致。该项目的最终目标是提高培训的有效性和可及性,从而实现更安全、更高效的海上工业。SafeSite集成了几个创新功能。基于人工智能的自动模型创建过程将3D扫描的OBJ文件转换为建筑信息模型(BIM)模型,提高了准确性和效率。此外,基于人工智能的培训场景生成器可以为特定海上站点的数字双胞胎创建定制的健康和安全培训视频、说明和虚拟练习。在沉浸式VR培训环境中,由聊天机器人和代表培训参与者的可定制头像驱动的培训讲师的人工智能生成的语音增强了现实性和互动性。Core Systems和V-LAB的合作旨在改变海上建筑行业的安全培训方法。通过利用人工智能和虚拟现实技术,SafeSite不仅提高了工人的安全,还提高了企业的生产力。该项目的影响超出了培训,因为它符合英国政府的目标,即到2030年将海上风电装机容量提高到40GW,为该国的可再生能源目标做出贡献。SafeSite在解决海上建筑行业提高安全标准的迫切需求方面具有很大的前景。通过成功开发和实施这一创新的培训工具,我们预计将对海上工人的福祉和整个行业的成功产生重大的积极影响。SafeSite准备在健康和安全培训方面树立新的标准,展示人工智能和虚拟现实技术在创造更安全工作环境方面的潜力。
英文摘要
SafeSite is a groundbreaking research project aiming to revolutionise health and safety training in the offshore construction industry. The project addresses the pressing need for improved safety standards in an industry that reported 565,000 accidents and 123 fatalities in 2021/22\. Traditional training methods have proven ineffective, necessitating innovative solutions. SafeSite is an AI-based health and safety training tool in virtual reality (VR), designed to complement Core Systems Software Ltd's CORE construction project management environment. This collaboration between Core Systems and V-LAB, two leading digital innovation companies, brings together expertise in VR technology and construction project management. Both companies have already been recognised as a finalist for the prestigious Innovation Award at the TeesTech Awards 2023\. By harnessing cutting-edge AI technology, SafeSite will introduce personalised and interactive health and safety training for offshore workers, aligning with the guidelines provided by the Health and Safety Executive and the Global Wind Organisation training standards. The project's ultimate goal is to enhance training effectiveness and accessibility, leading to a safer and more efficient offshore industry.SafeSite incorporates several innovative features. An AI-based automated model creation process converts 3D scanned OBJ files into Building Information Modelling (BIM) models, improving accuracy and efficiency. Additionally, an AI-based training scenario generator creates customised health and safety training videos, instructions, and virtual exercises tailored to digital twins of specific offshore sites. Realism and interactivity are enhanced with an AI-generated voice of a training instructor powered by a chatbot and customisable avatars representing training participants, all within the immersive VR training environment. The collaborative efforts of Core Systems and V-LAB aim to transform safety training methods in the offshore construction industry. By leveraging AI and VR technologies, SafeSite not only improves worker safety but also increases business productivity. The project's impact extends beyond training, as it aligns with the UK government's goal of increasing offshore wind capacity to 40GW by 2030, contributing to the country's renewable energy objectives. SafeSite holds great promise in addressing the urgent need for improved safety standards in the offshore construction industry. By successfully developing and implementing this innovative training tool, we anticipate a significant positive impact on the well-being of offshore workers and the overall success of the industry. SafeSite is poised to set new standards in health and safety training, demonstrating the potential of AI and VR technologies in creating safer work environments.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
-
批准号:--
-
项目类别:外国青年学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:江洋子
-
依托单位:
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
-
批准号:--
-
项目类别:外国学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:YU BYUNGJUN
-
依托单位:
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
-
批准号:W2433169
-
项目类别:外国学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:HAOFEI ZHANG
-
依托单位:
A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
-
批准号:--
-
项目类别:--
-
资助金额:20万元
-
批准年份:2020
-
负责人:SAGAR RIZWAN UR REHMAN
-
依托单位:
基于tag-based单细胞转录组测序解析造血干细胞发育的可变剪接
-
批准号:81900115
-
项目类别:青年科学基金项目
-
资助金额:21.0万元
-
批准年份:2019
-
负责人:李宗城
-
依托单位:
应用Agent-Based-Model研究围术期单剂量地塞米松对手术切口愈合的影响及机制
-
批准号:81771933
-
项目类别:面上项目
-
资助金额:50.0万元
-
批准年份:2017
-
负责人:周全红
-
依托单位:
Reality-based Interaction用户界面模型和评估方法研究
-
批准号:61170182
-
项目类别:面上项目
-
资助金额:57.0万元
-
批准年份:2011
-
负责人:田丰
-
依托单位:
Multistage,haplotype and functional tests-based FCAR 基因和IgA肾病相关关系研究
-
批准号:30771013
-
项目类别:面上项目
-
资助金额:30.0万元
-
批准年份:2007
-
负责人:王一鸣
-
依托单位:
差异蛋白质组技术结合Array-based CGH 寻找骨肉瘤分子标志物
-
批准号:30470665
-
项目类别:面上项目
-
资助金额:8.0万元
-
批准年份:2004
-
负责人:李扬
-
依托单位:
GaN-based稀磁半导体材料与自旋电子共振隧穿器件的研究
-
批准号:60376005
-
项目类别:面上项目
-
资助金额:20.0万元
-
批准年份:2003
-
负责人:张国义
-
依托单位: