AI-powered predictive maintenance for people - Tracking and predicting risk of human error to improve productivity

人工智能驱动的人员预测维护 - 跟踪和预测人为错误的风险以提高生产力

• 批准号: 10077721
• 金额: $ 5.36万
• 依托单位: FC LABORATORIES LTD
• 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: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10077721
• 关键词: AI; powered; predictive; maintenance; people

According to the Construction Skills Network report, an extra 225k construction workers will be needed by 2027\. However, 55% of UK construction companies say that their productivity is already suffering from a lack of skilled staff. Figures from the Office of National Statistics show that construction output per hour is still at levels that they were in 1980\. There is a necessity not only to recruit more staff but to increase the productivity of those staff. FCLabs will bring that productivity. We are a wearable neurotech company, developing a worker wellbeing solution, which tracks and predicts fluctuations in cognitive performance and risk of human error, delivering simple, actionable insights in the form of a CoreScore.The CoreScore is an indicator of both fluctuating cognitive performance and an early warning of potential underlying causes such as mental & physical fatigue, lack of sleep, stress & anxiety, drug & alcohol use, dehydration, nutrition, blood sugar levels (diabetes), cold/heat stress, boredom, distraction, illness and poor air quality/toxic gases. The CoreScore supports decisions on appropriate action, intervention or mitigation and encourages long-term behavioural change. From immediate intervention, if it becomes clear that an employee is at greater risk of an accident compared to their usual trends, to the management of shift patterns and duties to ensure more dangerous or vital tasks are only completed when employees are at their peak, construction companies will be able to leverage CoreScore metrics to increase productivity while also saving lives and preventing injuries. This project will facilitate the next step in the evolution of our CoreScore, testing our most recent algorithms in real-world construction environments and providing data to increase the accuracy of our algorithm. The companies and employees involved will get the direct benefit of insights on their workforce (anonymised) and suggestions on how to improve productivity. The project will boost our potential to bring these benefits to a large portion of the UK construction industry - and beyond.

根据《建筑技能网络报告》，到2027年将需要额外的225k建筑工人。但是，有55％的英国建筑公司表示，其生产力已经遭受缺乏熟练的员工的困扰。国家统计局的数据显示，每小时建设产出仍处于1980年的水平。不仅有必要招募更多的员工，而且要提高这些员工的生产力。 FCLABS将带来这种生产力。我们是一家可穿戴神经技术公司，开发了一种工人的健康解决方案，可以跟踪和预测认知性能和人为错误的风险的波动，以核心的形式提供简单，可操作的见解。核心是既指示性能，既表明了认知效果的波动，又表现出了诸如耐心和疲劳的潜在症状，诸如临床的预期，劳力和焦虑症的预期，劳力和疲劳性，富有疲劳，劳力，劳力，劳力，劳力，劳力，劳力，劳力，劳力，伴随着，伴随着症状，伴随着症状，既有症状，又有症状，既有症状，又是疲劳的症状。营养，血糖水平（糖尿病），冷/热应激，无聊，干扰，疾病和空气质量/有毒气体不良。 Corescore支持有关适当行动，干预或缓解的决定，并鼓励长期行为改变。从立即干预开始，如果很明显，与通常的趋势相比，员工面临更大的事故风险，到管理模式和职责的管理，以确保只有在员工达到顶峰时完成了更危险或重要的任务，建筑公司将能够利用核心指标来提高生产力，同时挽救生产力，同时挽救生命并预防生命和预防伤害。该项目将促进我们Corescore演变的下一步，测试我们在现实世界中施工环境中的最新算法，并提供数据以提高算法的准确性。参与其中的公司和员工将获得有关劳动力（匿名）的见解，并就如何提高生产率提高的建议。该项目将提高我们将这些收益带入英国建筑行业及以后的很大一部分的潜力。