Drone Inspection & Monitoring for Construction, Industry & Infrastructure BVLOS

无人机巡检

• 批准号: 83903
• 金额: $ 33.88万
• 依托单位: SEESAI LIMITED
• 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
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=83903
• 关键词: Drone; Inspection; Monitoring; Construction; Industry

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.

保持我们的基础设施、建筑和工业场所的运行至关重要。2018年，建筑业提供了300万个就业岗位，为英国经济贡献了2500亿英镑，占英国GDP的15%。更广泛地说，工程企业雇佣了英国19%的劳动力，创造了英国23%的营业额。在英国企业每年损失17亿英镑的技能短缺背景下，2019冠状病毒病（COVID-19）大流行使情况变得更糟——劳动力短缺加剧；劳动力效率降低；规划人员也不确定谁会来上班。这场大流行可能还会持续数月，甚至数年。因此，我们迫切需要加快远程检测和监控。该项目旨在解决这一需求。传统的无人机服务是在视距（VLOS）规定下提供的。扩展这些服务需要建立一个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。这种方法资源受限、不一致且昂贵，因此很难扩展。相反，看到。ai的解决方案团队在客户现场的远程控制室中使用高度自动化的无人机进行飞行员操作，以远程执行复杂的BVLOS任务。这种将资源集中在控制室的做法显著提高了可扩展性（零行程意味着需要更少的飞行员），并引入了规模经济、范围经济和学习经济，从而提高了质量、能力和成本。在2019冠状病毒病疫情背景下，该项目将帮助我们恢复正常运营、安全水平和质量控制，具体如下：通过加速远程检查和监控，该解决方案将减少现场工作人员的数量，使他们能够从事生产性工作。通过在办公桌上为办公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，而无需访问现场。通过减少访问现场的人数，该解决方案将帮助运营商降低感染风险，从而可能导致现场关闭。除了COVID-19，我们看到了。ai解决方案代表了实现远程检查和监控的长期趋势中的最先进技术，与BIM、现实捕获和数字孪生的发展有关。项目合作伙伴包括一些英国目前最大的无人机用户，以及一些最有可能从未来无人机中受益的公司。这些公司看到了空中情报的价值，也看到了前景。Ai解决方案作为一种潜在的方式来获得所需的规模和质量。