尹锡帆, 黎鑫, 张韧, 等. UUV攻势布雷海洋环境风险评估及方案优选[J]. 中国舰船研究, 2021, 16(增刊 1): 1–9. doi: 10.19693/j.issn.1673-3185.01974
引用本文: 尹锡帆, 黎鑫, 张韧, 等. UUV攻势布雷海洋环境风险评估及方案优选[J]. 中国舰船研究, 2021, 16(增刊 1): 1–9. doi: 10.19693/j.issn.1673-3185.01974
YIN X F, LI X, Zhang R, et al. UUV offensive mine-laying marine environmental risk assessment and scheme selection[J]. Chinese Journal of Ship Research, 2021, 16(Supp 1): 1–9. doi: 10.19693/j.issn.1673-3185.01974
Citation: YIN X F, LI X, Zhang R, et al. UUV offensive mine-laying marine environmental risk assessment and scheme selection[J]. Chinese Journal of Ship Research, 2021, 16(Supp 1): 1–9. doi: 10.19693/j.issn.1673-3185.01974

UUV攻势布雷海洋环境风险评估及方案优选

UUV offensive mine-laying marine environmental risk assessment and scheme selection

  • 摘要:
      目的  构建海洋环境对无人水下航行器(UUV)攻势布雷作战性能影响的定量评估模型,并形成量化评估结果。
      方法  首先,研究UUV攻势布雷海洋环境风险评估属性,提出基于模糊层次分析法和熵权法复合权重的理想解排序和集对分析思想的优选模型;然后,对UUV使用现状和海洋环境影响进行分析,参考传统和无人攻势布雷作战效能的主要评估指标,构建UUV攻势布雷海洋环境风险性指标;最后,根据海洋环境对UUV系统影响研究的现有成果,构建风险性指标量化模型。通过仿真试验对想定的UUV攻势布雷时次进行海洋环境风险方案优选,验证本文方法和模型的可行性。
      结果  UUV攻势布雷按行动阶段进行海洋环境风险性指标的拆解较为有效,构建的海洋环境风险性指标量化模型较为科学。
      结论  复合权重动态偏好系数兼顾决策权威性和数据客观性,集对分析思想系统地考虑了统一与对立因素对方案选择的影响。

     

    Abstract:
      Objectives  This study constructs a quantitative assessment model of the impact of the marine environment on the offensive mine-laying operational performance of unmanned underwater vehicles (UUV), and draws quantitative evaluation conclusions.
      Methods  First, the attributes of offensive mine-laying marine environment assessment are researched and the optimal model of the TOPSIS and set pair analysis (SPA) method are proposed on the basis of the combined weight of the fuzzy analytic hierarchy process (FAHP) and entropy weight method (EWM). The current situation of UUV deployment and its impact on the marine environment are then analyzed, and the risk indexes of the marine environment on the offensive mine-laying performance of UUVs are constructed with reference to the main evaluation indexes of the operational performance of traditional and unmanned offensive mine-laying. Finally, according to the existing research results on the impact of the marine environment on UUV systems, a quantitative model of the risk indicators is completed.
      Results  The feasibility of the method and model presented in this paper is verified through a simulation experiment that optimizes the marine environmental risk scheme of the determined UUV offensive mine-laying.
      conclusions  It is more effective to disassemble the marine environmental risk indications in the offensive mine-laying stage, and more scientific to construct a quantitative model of marine environmental risk indications. The dynamic preference coefficient of the combined weight takes into account both the authority of decision-making and objectivity of data, and the influence of the same and opposite factors on scheme selection is considered. Finally, the feasibility of the algorithm is verified by the simulation results.

     

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