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[1]汪洋,贺宜聪,段文杰,等.水下人-机协同搜救作业人因可靠性分析研究*[J].中国安全生产科学技术,2024,20(6):67-77.[doi:10.11731/j.issn.1673-193x.2024.06.009]
 WANG Yang,HE Yicong,DUAN Wenjie,et al.Research on human reliability analysis of underwater man-machine cooperative search and rescue operation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(6):67-77.[doi:10.11731/j.issn.1673-193x.2024.06.009]
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水下人-机协同搜救作业人因可靠性分析研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年6期
页码:
67-77
栏目:
学术论著
出版日期:
2024-06-30

文章信息/Info

Title:
Research on human reliability analysis of underwater man-machine cooperative search and rescue operation
文章编号:
1673-193X(2024)-06-0067-11
作者:
汪洋贺宜聪段文杰陈德山赵江滨吴兵
(1.武汉理工大学 国家水运安全工程技术研究中心,湖北 武汉 430063;
2.武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063;
3.武汉长江航道救助打捞局,湖北 武汉 430014)
Author(s):
WANG Yang HE Yicong DUAN Wenjie CHEN Deshan ZHAO Jiangbin WU Bing
(1.National Engineering Research Center for Water Transport Safety,Wuhan University of Technology,Wuhan Hubei 430063,China;
2.School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan Hubei 430063,China;
3.Wuhan Yangtze River Waterway Rescue and Salvage Bureau,Wuhan Hubei 430014,China)
关键词:
水下搜救人-机协同人因可靠性解释结构模型贝叶斯网络融合
Keywords:
underwater search and rescue man-machine cooperation human reliability interpretive structural model Bayesian network convergence
分类号:
X912.9
DOI:
10.11731/j.issn.1673-193x.2024.06.009
文献标志码:
A
摘要:
为分析水下人-机协同搜救作业人因可靠性并识别其关键影响因素,根据水下搜救训练实际和相关研究结论提取人因可靠性影响因素;建立人因可靠性影响因素体系,利用解释结构模型定性分析各影响因素间相关关系,将建立的各影响因素的解释结构模型转换为贝叶斯网络拓扑结构,分别构建潜水员作业、无人遥控潜水器(ROV)作业、人-机协同作业人因可靠性分析贝叶斯网络;通过对3类贝叶斯网络进行推理,揭示影响人因可靠性的关键因素及其依赖关系,并定量分析3种作业模式下的人因可靠性变化。结果表明:人-机协同搜救作业中“误解意图”“通信不畅”“信息不对称”“作业精度不足”“丧失救助能力”等影响因素起到关键作用;当上述因素得到较好控制时,人-机协同搜救作业的人因可靠性将会表现出优于单纯的ROV或潜水员独立施救的效能。研究结果可为水下搜救作业人因可靠性分析与提升提供参考。
Abstract:
In order to analyze the human reliability of the underwater man-machine cooperative search and rescue (SAR) operation and identify the key influencing factors,the influencing factors of human reliability were extracted according to the underwater SAR training practice and relevant research conclusions.An influencing factors system of human reliability was established,and the correlation between the influencing factors was qualitatively analyzed by the interpretative structural model.The interpretative structural model of the influencing factors was converted into the Bayesian network topology,and the Bayesian network for human reliability analysis regarding to three modes of operation,namely diver operation,remote operated vehicle (ROV) operation,man-machine cooperative operation was constructed,respectively.Through the reasoning analysis on three Bayesian network,the key factors affecting human reliability and their dependence were revealed,and the change in human reliability under the three operation modes was quantitatively analyzed.The results show that the “misunderstanding intention”,“poor communication”,“information asymmetry”,“insufficient operation accuracy”,“loss of rescue capability” and other influencing factors play key roles in the man-machine cooperative SAR operation.When these factors are well controlled,the human reliability of the man-machine cooperative SAR operation will outperform the single ROV or diver independent rescue.The research results can provide reference for human reliability analysis and improvement of underwater SAR operations.

参考文献/References:

[1]DHILLON B S.Human reliability with human factors[M].Oxford,UK:Pergamon Books Inc,1986.
[2]KIRWAN B.A guide to practical human reliability assessment[M].Taylor Francis,1994.
[3]张明洁.基于深度学习的民航系统人因可靠性研究[D].南京:南京航空航天大学,2019.
[4]张爱琳.船舶引航员人因可靠性分析[D].厦门:集美大学,2021.
[5]岑康,张翌东,黄夏雨,等.考虑人因可靠性的安全仪表功能SIL验证方法研究[J].中国安全生产科学技术,2020,16(3):31-36. CEN Kang,ZHANG Yidong,HUANG Xiayu,et al.Study on verification method of safety integrity level (SIL) for safety instrumented function considering human reliability[J].Journal of Safety Science and Technology,2020,16(3):31-36.
[6]QIAO W L,LIU Y,MA X X,et al.A methodology to evaluate human factors contributed to maritime accident by mapping fuzzy FT into ANN based on HFACS [J].Ocean Engineering,2020,197(2):89-99.
[7]PERBOLI G,GAJETTI M,FEDOROV S.Natural language processing for the identification of human factors in aviation accidents causes:an application to the SHEL methodology[J].Expert Systems with Applications,2021,186:115694.
[8]杨越,张燕飞,王建忠.基于CREAM和贝叶斯网络的空管人误概率预测方法[J].中国安全生产科学技术,2020,16(3):37-43. YANG Yue,ZHANG Yanfei,WANG Jianzhong.Prediction method of human error probability in air traffic management based on CREAM and Bayesian network[J].Journal of Safety Science and Technology,2020,16(3):37-43.
[9]王红红,刘延波.基于模糊贝叶斯网络的水下生产系统人因可靠性[J].科学技术与工程,2022,22(9):3491-3496. WANG Honghong,LIU Yanbo.Human reliability of subsea production system based on fuzzy Bayesian network[J].Science Technology and Engineering,2022,22(9):3491-3496.
[10]谢凝,陈登凯,周垚,等.基于人因可靠性的民机驾驶舱人机界面评价方法[J].西北工业大学学报,2022,40(6):1250-1260. XIE Ning,CHEN Dengkai,ZHOU Yao,et al.A method for evaluating human-machine interface in civil aircraft cockpit based on human factor reliability[J].Journal of Northwestern Polytechnical University,2022,40(6):1250-1260.
[11]崔相鲁,江凯贤.ROV与潜水员联合作业方式在水下生产设施施工中的应用[J].化工管理,2020(9):169-170.
[12]范希伟.海上搜救环境研究[D].大连:大连海事大学,2013.
[13]闫敏,张晓.ROV和潜水员联合作业中的风险控制[J].中国石油和化工标准与质量,2019,39(6):72-73.
[14]徐玉宁,伏学海.ROV 作业 HSE 风险管理概述[J].化工管理,2021(31):91-92. XU Yuning,FU Xuehai.Summary of HSE risk management in ROV operation[J].Chemical Enterprise Management,2021(31):91-92.
[15]BRITO M P,LOH T Y,BOSE N,et al.Human error in autonomous underwater vehicle deployment:a system dynamics approach[J].Risk Analysis,2020;40:1258-1278.
[16]张坤,王晔炜,朱包良,等.潜水作业风险管理[J].军事医学,2020,44(12):905-908. ZHANG Kun,WANG Yewei,ZHU Baoliang,et al.Diving operational risk management[J].Military Medical Sciences,2020,44(12):905-908.
[17]张玥,帅斌,尹德志,等.基于STAMP-ISM的铁路危险品运输系统风险-事故分析方法[J].中国安全生产科学技术,2020,16(9):147-153. ZHANG Yue,SHUAI Bin,YIN Dezhi,et al.Risk-accident analysis method of railway dangerous goods transportation system based on STAMP-ISM[J].Journal of Safety Science and Technology,2020,16(9):147-153.

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备注/Memo

备注/Memo:
收稿日期: 2023-06-17;网络首发日期: 2024-05-20
* 基金项目: 湖北省自然科学基金项目(2021CFB324);湖北省重点研发计划项目(2023BCB123);国家自然科学基金项目(52272424)
作者简介: 汪洋,博士,副教授,主要研究方向为水上交通安全与应急搜救。
通信作者: 吴兵,博士,教授,主要研究方向为水上交通安全控制。
更新日期/Last Update: 2024-06-25