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.

根据建筑技能网的报告，到2027年，将需要额外的22.5万建筑工人。然而，55%的英国建筑公司表示，他们的生产率已经受到缺乏熟练员工的影响。来自国家统计局的数据显示，每小时的建筑产量仍保持在1980年的水平。不仅有必要招聘更多的工作人员，而且有必要提高这些工作人员的生产率。FCLabs将带来这种生产力。我们是一家可穿戴的神经科技公司，开发员工幸福感解决方案，跟踪和预测认知表现和人为错误风险的波动，以CoreScore的形式提供简单、可操作的见解。CoreScore既是认知表现波动的指标，也是潜在潜在原因的早期预警，如精神和身体疲劳、睡眠不足、压力和焦虑、药物和酒精使用、脱水、营养、血糖水平(糖尿病)、冷/热应激、无聊、分心、疾病和糟糕的空气质量/有毒气体。CoreScore支持关于适当行动、干预或缓解的决策，并鼓励长期行为改变。从直接干预，如果员工的事故风险明显高于他们通常的趋势，到班次模式和职责的管理，以确保更危险或更重要的任务只有在员工处于巅峰时才能完成，建筑公司将能够利用CoreScore指标来提高生产率，同时拯救生命和防止受伤。该项目将促进我们的CoreScore发展的下一步，在真实的建筑环境中测试我们最新的算法，并提供数据来提高我们算法的准确性。参与其中的公司和员工将直接受益于对其员工队伍的洞察(匿名)和关于如何提高生产率的建议。该项目将提升我们的潜力，将这些好处带给英国建筑业的很大一部分--甚至更远。