航空计算技术2024,Vol.54Issue(6) :50-54,59.

管制工作复杂性建模研究

Research on Complexity Modeling of Control Work

郭宇帅
航空计算技术2024,Vol.54Issue(6) :50-54,59.

管制工作复杂性建模研究

Research on Complexity Modeling of Control Work

郭宇帅1
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作者信息

  • 1. 民航局空管局运行管理中心,北京 100000
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摘要

针对当前空域容流饱和的现象越来越严重,航班延误率也在逐渐升高.提高管制效率最有效的方法就是降低管制工作的复杂性.首先借鉴动态密度模型中的复杂性指标,以聚类分析方法筛选管制工作复杂性指标,保留对管制工作复杂性分辨能力较大的指标.其次用航空器架次表征复杂性指标,新增天气因素指标模型,解决了动态密度模型指标数据获取难的问题,建立了新的管制工作复杂性模型.通过信息熵理论,得到两种情况下各复杂性指标的权重.最后依据国内西南某机场空域扇区的实际情况验证该模型.结果表明,建立的管制工作复杂性模型可以很好地反映管制工作复杂性.

Abstract

At present,the phenomenon of airspace capacity saturation is becoming more and more serious,and the flight delay rate is gradually increasing.Among them,the most effective way to improve control ef-ficiency is to reduce the complexity of control work.Firstly,the complexity indicators in dynamic density model are used for reference,and the complexity indicators of control work are screened by cluster analy-sis method,and the indicators with greater ability to distinguish the complexity of control work are re-tained.Secondly,the complexity index is represented by aircraft sorties,and the weather factor index mod-el is added,which solves the problem of difficulty in obtaining index data of dynamic density model and establishes a new complexity model of control work.Through the information entropy theory,the weight of each complexity index in two cases is obtained.Finally,the model is verified according to the actual situa-tion of an airport airspace sector in southwest China,and the results show that the complexity model of control work can well reflect the complexity of control work.

关键词

管制工作复杂性/聚类分析/泊松分布/指标建模/信息熵

Key words

complexity of regulatory work/cluster analysis/Poisson distribution/index modeling/informa-tion entropy

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出版年

2024
航空计算技术
中国航空工业西安航空计算技术研究所

航空计算技术

CSTPCD
影响因子:0.316
ISSN:1671-654X
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