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主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

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引用本文:陈登凯,张献,朱梦雅,孙意为.载人密闭舱室FTA-FBN舒适度评估方法[J].哈尔滨工业大学学报,2023,55(4):100.DOI:10.11918/202112040
CHEN Dengkai,ZHANG Xian,ZHU Mengya,SUN Yiwei.Comfort evaluation method of FTA-FBN for manned closed cabin[J].Journal of Harbin Institute of Technology,2023,55(4):100.DOI:10.11918/202112040
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载人密闭舱室FTA-FBN舒适度评估方法
陈登凯,张献,朱梦雅,孙意为
(工业设计与人机工效工信部重点实验室(西北工业大学),西安 710072)
摘要:
为改善载人密闭舱室整体舒适度,提升作业人员的生理、心理舒适性与工作效率。对载人密闭舱室舒适度评估方法展开深入探究,在完成舱室整体舒适度评估的基础上,能够进一步明确影响舱室综合舒适度的基本事件并进行重要度排序,从而更有针对性的改进和指导载人密闭舱室设计。构建了载人密闭舱室舒适度故障树分析(Fault tree analysis,FTA)模型,将载人密闭舱室舒适度影响因素划分生理环境、物理因素、主观感受3个中间等级,下行提取17个基本事件,综合模糊贝叶斯(Fuzzy bayesian networks,FBN)方法进行正向诊断,评估载人密闭舱室的整体舒适性;展开逆向因果推理,寻找造成舱室不舒适的主要原因。结果表明:实例探究中选取西北工业大学载人密闭实验室进行整体舒适度评估,并通过16位被试人员的主观评价验证了载人密闭舱室FTA-FBN舒适度评估方法的有效性与可靠性;逆向推理计算各基本事件对舱室整体舒适度的影响概率并进行排序,指出载人密闭舱室设计改进方向。
关键词:  载人密闭舱室  模糊贝叶斯网络  故障树  舒适度评价  网络推理
DOI:10.11918/202112040
分类号:TB18
文献标识码:A
基金项目:中央高校基本科研业务费资助(31020190504007);高等学校学科创新引智计划B13044资助(B13044)
Comfort evaluation method of FTA-FBN for manned closed cabin
CHEN Dengkai,ZHANG Xian,ZHU Mengya,SUN Yiwei
(Key Laboratory of Industrial Design and Ergonomics Ministry of Industry and Information Technology (Northwestern Polytechnical University), Xian 710072, China)
Abstract:
To improve the overall comfort of manned closed cabin, enhance the physiological and psychological comfort and work efficiency of operators, an in-depth study on evaluating the comfort level of manned closed cabin is conducted. Based on the comprehensive comfort evaluation of the cabin, the basic events affecting the comprehensive comfort of the cabin are identified with their values ranked in the order of importance so as guide the design of the manned closed cabin in a highly specific way. A fault tree analysis (FTA) model was advanced for the comfort of the manned closed cabin. The influencing factors of the comfort of the manned closed cabin were divided into three intermediate grades: physiological environment, physical factors and subjective feelings, with 17 basic events were extracted. The fuzzy Bayesian networks (FBN) was used for forward diagnosis to evaluate the overall comfort of manned closed cabin, and reverse causal inference was performed to identify the main causes for the discomfort of the cabin. In the case study, the overall comfort level of the manned closed laboratory of Northwestern Polytechnical University was evaluated, the validity and reliability of the FTA-FBN comfort evaluation approach for manned closed cabin was verified by the subjective evaluation of 16 participants. The influence probability of each basic event on the overall comfort of the cabin was calculated by backward reasoning and sorted. The improvement direction of the future closed cabin design was suggested, providing a fresh insight into the comfort evaluation of manned closed cabin.
Key words:  manned closed cabin  fuzzy Bayesian network  fault tree  comfort evaluation  network reasoning

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