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

疲劳管理是运输行业的首要安全问题。该提案的目的是验证一种基于科学的软件，该软件可预测航空领域中与工作相关的疲劳及其影响因素。为了实现这一目标，我们将首先组织探索航空子公司的现场考察，并与疲劳相关事件的高风险工人（如技术人员，工程师，飞行员）进行90分钟的焦点小组。焦点小组将有助于澄清与工作有关的疲劳的迹象，感知的原因和后果之间的关系，以及与他们的工作环境的身体和组织/心理社会方面的限制。通过重点小组收集的信息将被纳入一项试验性实地研究。将招募具有代表性的工人团体（30人/组）进行为期2周的实地研究。在整个现场研究中，工作人员将填写睡眠-觉醒日志和疲劳/警觉/情绪水平的每日日志，并将记录身体和组织/心理社会工作限制。他们的表现将被客观地衡量，每天3次，有一个10分钟的心理警戒任务。还将计划在工作日和休息日期间进行两个强化的24小时监测期，以量化睡眠的昼夜节律和睡眠-觉醒依赖性变化。在这几天内，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一个创新的生物数学疲劳模型，预测员工的工作相关疲劳。最后，该算法将进一步验证其可用性在该领域纵向为期一年的时间。这种独特的“世界首创”科学方法将使Aero Vision Technologies International（AVTi）在航空安全软件领域的所有竞争对手中获得商业化优势。这是第一次将这种工作限制纳入基于生理学的工作场所疲劳模型。

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.