基于AHP-GA的海上大流量天然气处理上部模块控制系统关键设备选型方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Key Equipment Selection Method of Upper Module Control System for Offshore Large-Flow Natural Gas Processing Based on AHP-GA
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    海上大流量天然气处理上部模块结构复杂、控制设备繁多、控制要求高、安全要求高,其集成控制系统关键设备的选型及配置结果直接影响系统的控制性能和运行成本。基于此,综合考虑大流量天然气处理上部模块集成控制系统关键设备的成本及失效率,以成本低、可靠性高为优化目标,建立关键设备选型多目标优化模型。使用层次分析(Analytic Hierarchy Process,AHP)法确定成本与可靠性之间的权重,改进并运用精英个体保留策略的遗传算法对模型进行优化求解。以某大流量天然气处理上部模块的集成控制系统关键设备选型问题为测试算例,验证了提出模型的正确性和优化算法的有效性,为控制系统关键设备选型提供理论依据。

    Abstract:

    The upper module structure of the offshore large-flow natural gas processing is complex, with numerous control equipment, high control requirements, and high safety requirements. The selection and configuration of the key equipment of the integrated control system directly affect the control performance and operation cost of the system. Based on this, considering the cost and failure rate of the key equipment of the integrated control system of the upper module of the large-flow natural gas processing, a multi-objective optimization model for the key equipment selection is established with low cost and high reliability as the optimization objectives. The weight between the cost and reliability is determined by Analytic Hierarchy Process (AHP), and the genetic algorithm of elite individual retention strategy is improved to optimize the model. The correctness of the proposed model and the effectiveness of the optimization algorithm are verified by taking the selection of the key equipment of the integrated control system of the upper module of a large-flow natural gas processing as a test example, which provides a theoretical basis for the selection of the key equipment of the control system.

    参考文献
    相似文献
    引证文献
引用本文

吴冕,王鸿雁,张晓馨,陆淑蕾,张加翔,刘沈宇,王雨柔.基于AHP-GA的海上大流量天然气处理上部模块控制系统关键设备选型方法[J].中国海洋平台,2024,(06):84-90

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-12-25
  • 出版日期: