Noise annoyance is widely recognized as an expression of psychological strain in acoustic environments. It is closely related to the cognitive capability, risk perception, and decision-making ability of workers and can lead to unsafe behavior and unsatisfactory work performance. Considering the unique working properties and environment, a shield tunneling machine driver should maintain a healthy mental status without severe annoyance effects. In this study, considering the comprehensive responses to noisy environments and individual differences in noise perception, the factors affecting noise annoyance at the individual level were analyzed. An assessment model based on the combined effects of physiological activities in electrocardiography and electroencephalography was proposed to index a driver’s noise annoyance level and ability to adapt to a noisy working environment. Through preservice screening based on the assessment model, individuals with an unqualified mental status for shield tunneling machine operation can be excluded to avoid potential operational risks. Additionally, corresponding initiatives (e.g., sound conditioning training) can be implemented in the pre-post specialty training to improve the worker’s adaptability to a noisy working environment.

噪声烦恼被广泛认为是声学环境中心理压力的一种表达。它与工人的认知能力，风险感知能力和决策能力密切相关，并可能导致不安全的行为和不令人满意的工作表现。考虑到独特的工作特性和环境，盾构隧道掘进机驾驶员应保持健康的精神状态，而不会造成严重的烦恼。在这项研究中，考虑到对嘈杂环境的综合反应以及噪声感知的个体差异，分析了影响个体噪声干扰的因素。提出了一种基于心电图和脑电图中生理活动的综合影响的评估模型，以对驾驶员的噪音烦恼水平和适应嘈杂的工作环境的能力进行索引。通过基于评估模型的职前筛选，可以排除盾构掘进机操作中精神状态不佳的人员，以避免潜在的操作风险。另外，可以在后期专业培训之前实施相应的举措（例如，声音调节培训），以提高工人对嘈杂的工作环境的适应性。