Development and validation of a "scientifically based" software that predicts work-related fatigue in the aeronautical industry

开发和验证“基于科学”的软件，用于预测航空业与工作相关的疲劳

• 批准号: 430856-2012
• 负责人: Caron, Nadia
• 金额: $ 16.86万
• 依托单位: Cégep de Jonquière
• 依托单位国家: 加拿大
• 项目类别: College - University Idea to Innovation Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=641947
• 关键词: Development; validation; scientifically; based; software

Fatigue management is a prime safety concern in the transportation industry. The objective of this proposal is to validate a scientifically-based software that predicts work-related fatigue and its contributing factors in the aeronautical field. To achieve this aim, we will first organize site visits with Discovery Air subsidiaries and 90-min focus groups with workers at high risk of fatigue-related incidents (such as technicians, engineers, pilots). Focus groups will serve to clarify the relationship between signs, perceived causes, and consequences of work-related fatigue, and the constraints related to physical and organizational/psychosocial aspects of their working environment. Information gathered through focus groups will then be integrated into an experimental field study. Representative workers' groups (30/group) will be recruited for a 2-week field study. Throughout this field study, workers will fill out a sleep-wake log and daily logs of their fatigue/alertness/mood levels, and will document physical and organizational/psychosocial work constraints. Their performance will be objectively measured, 3 times a day, with a 10-min psychomotor vigilance task. Two periods of intensive 24-h monitoring will also be planned, during a work and a rest day, to quantify the circadian and sleep-wake dependent variation of sleepiness. During these days, physiological parameters (heart rate variability, salivary cortisol, and body temperature) will be measured. These data will subsequently serve in the design of an innovative biomathematical fatigue model predicting employees' work-related fatigue. Finally, this algorithm will be further validated by testing its usability in the field longitudinally for a one-year period. This unique and "first in the world" scientific approach will give Aero Vision Technologies International (AVTi) a commercialization edge on all competitors concerned with aviation safety software. This is the first initiative to integrate such work constraints into a physiologically based model of workplace fatigue.

疲劳管理是运输行业的主要安全问题。该提案的目的是验证一种基于科学的软件，该软件可以预测与工作有关的疲劳及其在航空领域中的促成因素。为了实现这一目标，我们将首先通过发现空气子公司和90分钟的焦点小组组织现场访问，工人与疲劳相关事件的高风险（例如技术人员，工程师，飞行员）。焦点小组将有助于阐明标志，感知原因和与工作有关的疲劳的后果以及与其工作环境的物理和组织/社会心理方面有关的约束。然后，通过焦​​点小组收集的信息将集成到实验现场研究中。代表工人组（30/组）将被招募为2周的现场研究。在整个现场研究中，工人将填写疲劳/警觉/情绪水平的每日睡眠日志，并记录身体和组织/社会心理工作的限制。他们的表现将每天进行3次客观测量，并具有10分钟的精神运动警惕任务。在工作和休息日，还计划了两个密集的24小时监测，以量化昼夜节律和睡眠依赖的嗜睡变化。在这些日子里，将测量生理参数（心率变异性，唾液皮质醇和体温）。这些数据随后将用于设计创新的生物学疲劳模型，以预测员工与工作相关的疲劳。最后，该算法将通过在一年的时间内纵向测试其在现场的可用性来进一步验证。这种独特而“世界上的第一”科学方法将使Aero Vision Technologies International（AVTI）对与航空安全软件有关的所有竞争对手的商业化优势。这是将这种工作限制整合到基于生理的工作场所疲劳模型中的第一个倡议。