AI-Based Health and Safety Training in in Offshore Construction (SafeSite)
海上施工中基于人工智能的健康和安全培训 (SafeSite)
基本信息
- 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
- 起止时间:2023 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
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。该项目解决了该行业对提高安全标准的迫切需求,该行业在2021/22年报告了565,000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。两家公司都已被确认为2023年TeesTech Awards着名创新奖的决赛选手。通过利用尖端的人工智能技术,SafeSite将为海上工人引入个性化和互动式的健康和安全培训,与健康与安全执行官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访问性,从而实现更安全、更高效的海上工业。基于AI的自动化模型创建过程将3D扫描OBJ文件转换为建筑信息建模(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创建定制的健康和安全培训视频、说明和虚拟练习,这些都是为特定海上站点的数字孪生模型量身定制的。现实主义和互动性通过由聊天机器人提供支持的培训讲师的人工智能生成的声音和代表培训参与者的可定制化身来增强,所有这些都在沉浸式VR培训环境中。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AI和VR技术,SafeSite不仅提高了工人的安全性,还提高了业务生产力。该项目的影响超出了培训,因为它符合英国政府到2030年将海上风电容量增加到40 GW的目标,为该国的可再生能源目标做出贡献。SafeSite在满足海上建筑行业对提高安全标准的迫切需求方面具有很大的潜力。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行业的整体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VR技术在创造更安全的工作环境方面的潜力。
项目成果
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其他文献
Internet-administered, low-intensity cognitive behavioral therapy for parents of children treated for cancer: A feasibility trial (ENGAGE).
针对癌症儿童父母的互联网管理、低强度认知行为疗法:可行性试验 (ENGAGE)。
- DOI:
10.1002/cam4.5377 - 发表时间:
2023-03 - 期刊:
- 影响因子:4
- 作者:
- 通讯作者:
Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment.
在自我监管的环境中,儿童和青少年在电视上接触不健康食品和饮料广告的情况存在差异。
- DOI:
10.1186/s12889-023-15027-w - 发表时间:
2023-03-23 - 期刊:
- 影响因子:4.5
- 作者:
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The association between rheumatoid arthritis and reduced estimated cardiorespiratory fitness is mediated by physical symptoms and negative emotions: a cross-sectional study.
类风湿性关节炎与估计心肺健康降低之间的关联是由身体症状和负面情绪介导的:一项横断面研究。
- DOI:
10.1007/s10067-023-06584-x - 发表时间:
2023-07 - 期刊:
- 影响因子:3.4
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ElasticBLAST: accelerating sequence search via cloud computing.
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- DOI:
10.1186/s12859-023-05245-9 - 发表时间:
2023-03-26 - 期刊:
- 影响因子:3
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Amplified EQCM-D detection of extracellular vesicles using 2D gold nanostructured arrays fabricated by block copolymer self-assembly.
使用通过嵌段共聚物自组装制造的 2D 金纳米结构阵列放大 EQCM-D 检测细胞外囊泡。
- DOI:
10.1039/d2nh00424k - 发表时间:
2023-03-27 - 期刊:
- 影响因子:9.7
- 作者:
- 通讯作者:
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