基于熵云评价模型的内河液化天然气运输船航行风险研究

IF 2.7 4区 工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY
Chengyong Liu, Shijie Li, Shuzhe Chen, Qifan Chen, Kang Liu
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引用次数: 0

摘要

由于液化天然气(LNG)的易燃性和爆炸性,在中国,LNG运输船的运输过程极其严格。特别是,没有液化天然气运输船在国内内河运营。因此,为了确保未来进入长江的液化天然气运输船的航行安全,必须识别和评估液化天然气航运船航行安全的风险源。基于德尔菲法和专家经验法,从人、船、环境、管理四个方面对长江下游液化天然气运输船的航行风险因素进行了分析和探讨,确定了影响液化天然气航运的12个风险指标,并建立了风险评价指标体系。此外,利用熵权模糊模型来减少主观判断对指标权重的影响,并对白茅沙航道液化天然气航运风险进行分段、全面的评估。最后,应用云模型验证了熵权模糊模型的一致性可行性。研究结果表明,该方法为进一步研究内河液化天然气运输船的航行安全提供了有效的技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the navigational risk of liquefied natural gas carriers in an inland river based on entropy: a cloud evaluation model
Due to the flammability and explosive nature of liquefied natural gas (LNG), an extremely strict process is followed for the transportation of LNG carriers in China. Particularly, no LNG carriers are operating in inland rivers within the country. Therefore, to ensure the future navigation safety of LNG carriers entering the Yangtze River, the risk sources of LNG carriers' navigation safety must be identified and evaluated. Based on the Delphi and expert experience method, this paper analyzes and discusses the navigation risk factors of LNG carriers in the lower reaches of the Yangtze River from four aspects (human, ship, environment, and management), and identifies 12 risk indicators affecting the navigation of LNG carriers, and establishes a risk evaluation index system. Further, an entropy weight fuzzy model is utilized to reduce the influence of subjective judgment on the index weight as well as to conduct a segmented and overall evaluation of LNG navigation risks in the Baimaosha Channel. Finally, the cloud model is applied to validate the consistent feasibility of the entropy weight fuzzy model. The research results indicate that the method provides effective technical support for further study on the navigation security of LNG carriers in inland rivers.
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来源期刊
Transportation Safety and Environment
Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.90
自引率
13.60%
发文量
32
审稿时长
10 weeks
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