民航客机货舱自动配平优化技术
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国家自然科学基金面上项目(61872337)


Automatic Load Optimization Technology for Cargo Hold of Airliner
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    摘要:

    民航客机配载是飞机勤务关键步骤之一,随着工业互联网发展和航空业对自身服务要求的提高,手工配载操作出现了效率瓶颈,机场各项业务操作必将向自动化、智能化发展,其数字化势在必行.现存的部分算法不能较好地适应民航客机配载的多约束、多变动环境,依赖地勤工作人员进行手动调整.本文将配载环境中涉及到的各种约束条件和配载流程进行结构化分析,提出了一种基于遗传算法的约束回报动态计分解决方法,经测试能够根据不同约束条件选取来获得不同配载结果,达到优化重心偏移、实时配载计算的目的,并在此基础上保证了系统结构的可扩展性,使得系统能够适应各种新机型、新需求.

    Abstract:

    Airliner stowage is a key step in aircraft service. With the industrial Internet development and the higher requirements of the aviation industry for its own service, the efficiency of manual stowage operations has decreased, and the airport operation businesses will inevitably develop towards automation and intelligence, so will the digitalization of airliner stowage. Some of the existing algorithms cannot adapt to the multi-constraint and variable environment of airliner stowage and rely on the manual adjustments by ground staff. Therefore, the structural analysis of the constraints involved in the stowage environment and the stowage process is carried out in this study, and the constraint compensation dynamic scoring solution is proposed based on the genetic algorithm. The test results show that different stowage results can be obtained according to different constraints, so as to optimize the center of gravity shifts and real-time stowage calculation. On the basis of this, the scalability of the system structure is ensured, so the system can adapt to various new models and new requirements.

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姜昱君,韩锐.民航客机货舱自动配平优化技术.计算机系统应用,2022,31(1):159-167

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  • 收稿日期:2021-03-29
  • 最后修改日期:2021-04-29
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  • 在线发布日期: 2021-12-17
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