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Drone Inspection & Monitoring for Construction, Industry & Infrastructure BVLOS

Drone Inspection & Monitoring for Construction, Industry & Infrastructure BVLOS
无人机巡检
批准号:
83903
负责人:
金额:
$33.88万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

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中文摘要
翻译
保持我们的基础设施、建筑和工业场地的运行至关重要。2018年,建筑业提供了300万个就业机会,为英国经济贡献了2500亿GB,占英国GDP的15%。从更广泛的角度来看,工程企业雇佣了英国19%的劳动力,创造了23%的营业额。在技能短缺导致英国企业每年损失17亿GB的背景下,新冠肺炎疫情让情况变得更糟--劳动力短缺加剧;劳动力效率降低;规划者不确定谁会来上班。这场流行病可能会持续几个月,甚至几年。因此,我们迫切需要加快远程检查和监测。该项目旨在满足这一需求。传统的无人机服务是在视线(VLOS)法规下提供的。扩展这些服务需要建立一支庞大的无人机飞行员团队,并管理他们往返任务地点的旅行。这种方法资源有限、不一致且成本高昂,因此很难扩展。相比之下,See.ai的解决方案团队在远程控制室使用客户端的高度自动化无人机进行试点,以实现复杂任务的远程执行BVLOS。这种将资源集中在控制室的做法显著提高了可扩展性(零行程意味着需要的飞行员更少),并引入了规模、范围和学习经济,从而提高了质量、能力和成本。在新冠肺炎的背景下,该项目将帮助我们恢复正常运营、安全水平和质量控制,如下所示:1.通过加快远程检查和监控,该解决方案将减少现场工作人员的数量,解放他们从事生产性工作。通过在办公桌前为办公室工作人员提供更好的信息,该解决方案将帮助他们优化构建和维护工作,而无需访问站点。通过减少访问站点的人数,该解决方案将帮助运营商降低可能导致站点关闭的感染风险。除了新冠肺炎,See.ai解决方案代表了实现远程检查和监控的长期趋势的最先进水平-与BIM、现实捕捉和数字双胞胎的发展有关。项目合作伙伴包括一些今天英国最大的无人机用户和一些未来最有可能从无人机中受益的公司。这些公司看到了空中情报的价值,并将sees.ai解决方案视为以所需的规模和质量访问它的潜在方式。
英文摘要
It's vitally important we keep our infrastructure, construction & industrial sites running. In 2018 construction provided 3m jobs and contributed £250 billion to the UK economy or 15% of UK GDP. More broadly, engineering enterprises employed 19% of the UK labour force and generated 23% of the UK's turnover.Against a backdrop of skills shortages costing UK businesses £1.7bn / year, the COVID-19 pandemic is making a bad situation worse - with additional labour shortages; reduced workforce efficiency; and planners unsure who will show up for work.This pandemic may continue for many more months, perhaps even years. As such, we urgently need to accelerate remote inspection and monitoring. This project aims to address this need.Conventional drone services are delivered under visual line of sight (VLOS) regulations. Scaling these services requires building a large team of drone pilots and managing their travel to/from mission sites. This approach is resource constrained, inconsistent and expensive - and as a result is very difficult to scale.In contrast, sees.ai's solution teams pilots in remote control rooms with highly-automated drones on the client site, to enable the remote execution of complex missions BVLOS. This concentration of resources in a control room significantly improves scalability (zero travel means fewer pilots required) and introduces economies of scale, scope and learning which result in improved quality, capability and cost.In the context of COVID-19 this project will help us return to normal operation, safety levels and quality control, as follows:1\. By accelerating remote inspection & monitoring, this solution will reduce the number of site workers involved, freeing them for productive work.2\. By providing office workers with better information at their desks, this solution will help them optimise build and maintenance work without needing to visit site.3\. By reducing the number of people visiting site, this solution will help operators reduce infection risk which could potentially lead to site shutdown.Beyond COVID-19 the sees.ai solution represents the state-of-the-art in a long-term trend towards enabling remote inspection and monitoring - linked to the evolution of BIM, reality capture and the digital twin.Project partners include some of the UK's biggest users of drones today and some of the companies most likely to benefit from drones in the future. These companies see the value in aerial intelligence and see the sees.ai solution as a potential way to access it at the scale and quality required.
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