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。这项提议的目标是验证一种以科学为基础的软件，该软件预测航空领域与工作有关的疲劳及其影响因素。为了实现这一目标，我们将首先与Discovery Air子公司一起组织现场访问，并组织90分钟的焦点小组，让与疲劳相关事件风险较高的工人(如技术员、工程师、飞行员)参加。焦点小组将有助于澄清与工作相关的疲劳的迹象、感知原因和后果之间的关系，以及与其工作环境的身体和组织/心理社会方面有关的制约因素。通过重点小组收集的信息随后将被整合到试验性实地研究中。将招募有代表性的工人小组(30个/组)进行为期2周的实地考察。在整个实地研究中，工作人员将填写睡眠-唤醒日志和每天的疲劳/警觉/情绪水平日志，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测量，每天3次，并进行10分钟的精神运动警戒任务。还将计划在工作日和休息日进行两个24小时密集监测，以量化昼夜节律和睡眠-觉醒相关的嗜睡变化。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一种创新的生物数学疲劳模型，预测员工的工作相关疲劳。最后，通过为期一年的野外纵向可用性测试，进一步验证该算法的有效性。这种独特的、“世界第一”的科学方法将使Aero Vision Technologies International(AVTI)在商业化方面胜过所有涉及航空安全软件的竞争对手。这是第一次将这种工作限制纳入基于生理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.