基于四诊法的管制席安全运行状态诊断*

doi:10.16265/j.cnki.issn1003-3033.2021.09.008

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (9): 52-59.doi: 10.16265/j.cnki.issn1003-3033.2021.09.008

基于四诊法的管制席安全运行状态诊断^*

岳仁田副研究员, 韩蒙

中国民航大学空中交通管理学院,天津 300300

收稿日期:2021-06-10 修回日期:2021-08-20 出版日期:2021-09-28 发布日期:2022-03-28
作者简介:岳仁田 (1978—),男,山东日照人,博士,副研究员,主要从事交通运输规划与管理、空管运行安全等方面的研究。E-mail: rtyue@cauc.edu.cn。
基金资助:
国家自然科学基金资助(U1533112)。

Diagnosis of safety operation state for ATC position based on four diagnostic methods

YUE Rentian, HAN Meng

College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300,China

Received:2021-06-10 Revised:2021-08-20 Online:2021-09-28 Published:2022-03-28

摘要/Abstract

摘要： 为保障空中交通安全运行,基于中医学四诊法,从望、闻、问、切4方面构建空中交通管制(ATC)席安全运行状态诊断指标体系,将组合赋权法、集对分析和BP神经网络相结合,提出一种具有自学习能力的组合诊断方法。首先,通过组合赋权法获得集对分析所需权重;其次,通过集对分析得到每个样本中管制席安全运行状态;最后,基于样本完成BP神经网络的训练和测试,得到安全运行状态诊断模型。结果表明:该模型简单易行,诊断结果准确度高,具有定性与定量相结合的优点。

关键词: 管制席, 四诊法, 安全运行状态诊断, 集对分析, BP神经网络, 组合赋权

Abstract: In order to ensure safety operation of air traffic, based on four diagnostic methods of traditional Chinese medicine, diagnostic index system of safety operation state for ATC position was constructed from four aspects of observation, auscultation and olfaction, inquiry, pulse feeling and palpation. Combining combination weighting method, set pair analysis and BP neural network, a combination diagnosis method with self-learning ability was proposed. Firstly, weight required by set pair analysis was obtained by combination weighting method. Secondly, operation state of ATC position in each sample was obtained by set pair analysis. Finally, BP neural network was trained and tested based on samples, and operation state diagnosis the model was obtained. The results show that the model is simple and easy to use, and diagnosis results are accurate, and it has advantages of combining qualitative and quantitative.

Key words: air traffic control(ATC) position, four diagnostic methods, diagnosis of safety operation state, set pair analysis, BP neural network, combination weighting method

中图分类号:

X949/X951

岳仁田, 韩蒙. 基于四诊法的管制席安全运行状态诊断^*[J]. 中国安全科学学报, 2021, 31(9): 52-59.

YUE Rentian, HAN Meng. Diagnosis of safety operation state for ATC position based on four diagnostic methods[J]. China Safety Science Journal, 2021, 31(9): 52-59.

参考文献

[1] 卢奎. “亚安全”状态下深化本质安全管理的途径和方法初探[J]. 北京石油管理干部学院学报, 2016, 23(3):3-7,21.
LU Kui. Approach and method of deepening intrinsic safety management under "sub-safety" state[J]. Journal of Beijing Petroleum Management Institute, 2016, 23(3):3-7,21.
[2] DTOKIC J. Investigation into ATC safety indicators (subjective assessment) [D]. Belgrade: University of Belgrade, 2005.
[3] SUBOTIC B,STRAETER O,OCHIENG W Y. Recovery from equipment failures in ATC:determination of contextual factors[J]. Reliability Engineering and System Safety, 2007, 92(7):857-870.
[4] VI-SMARI L F,CAMARGO J B J R. A safety assessment methodology applied to CNS/ATM-based air traffic control system[J]. Reliability Engineering and System Safety, 2011, 96(7):727-738.
[5] 张建平, 胡明华, 吴振亚, 等. 基于BP神经网络的空中交通管制运行品质评价[J]. 西南交通大学学报, 2013, 48(3):1-6.
ZHANG Jianping, HU Minghua, WU Zhenya, et al. An improved integrated evaluation method on operation performance of air traffic control based on BP network [J]. Journal of Southwest Jiaotong University, 2013, 48(3):1-6.
[6] JACEK S. The simulation-fuzzy method of assessing the risk of air traffic accidents using the fuzzy risk matrix[J]. Safety Science, 2016,88:76-87.
[7] 王龙. 面向扇区的空管运行亚健康状态诊断方法研究[D]. 天津:中国民航大学, 2017.
WANG Long. Study on the diagnostic methods of air traffic control operation sub-health status for sector[D]. Tianjin: Civil Aviation University of China, 2017.
[8] 梁嵘. 对中医古医籍所体现的诊法二元结构的思考[J]. 世界科学技术: 中医药现代化, 2012, 14(6):2 265-2 268.
LIANG Rong. Thinking on diagnostic methods dual structure in ancient traditional Chinese medicine books[J]. Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology, 2012, 14(6):2 265-2 268.
[9] 王天芳, 李灿东,朱文锋. 中医四诊操作规范专家共识[J]. 中华中医药杂志, 2018, 33(1):185-192.
WANG Tianfang, LI Candong, ZHU Wenfeng.Expert consensus on the standard of four diagnostic procedures of traditional Chinese medicine[J]. Chinese Journal of Traditional Chinese Medicine, 2018, 33(1):185-192.
[10] 贾天琪. 基于工作负荷的管制扇区运行系统亚健康态特征分析及评价[D]. 天津:中国民航大学, 2018.
JIA Tianqi. Characteristics analysis and evaluation of sub-health status for air traffic control operation system based on workload[D]. Tianjin: Civil Aviation University of China, 2018.
[11] 岳仁田, 王龙. 扇区繁忙时段交通流的不均衡度量化研究[J]. 航空计算技术, 2016, 46(6):1-4,7.
YUE Rentian, WANG Long. Research on quantification of unbalanced traffic flow during peak hours in sectors [J]. Aviation Computing Technology, 2016, 46(6):1-4,7.
[12] ICAO 9426-1984. Air traffic services planning manual [S].
[13] 李欢, 王毅鹏. 基于空域复杂度的扇区动态通行能力研究[J]. 航空计算技术, 2019, 49(4):79-83.
LI Huan, WANG Yipeng.Research on sector dynamic traffic capacity based on airspace complexity[J]. Aviation Computing Technology, 2019, 49(4):79-83.
[14] 冯亚娟, 都思竹, 张竞一. 基于EW-SPA的装配式建筑施工安全评价及预测[J]. 中国安全科学学报, 2019, 29(5):85-90.
FENG Yajuan, DU Sizhu, ZHANG Jingyi. Safety evaluation and prediction of prefabricated building construction based on EW-SPA[J]. China Safety Science Journal, 2019,29(5):85-90.
[15] 宋博. DEA-BP神经网络下地铁车站深基坑施工安全评价[J]. 中国安全科学学报, 2019, 29(5):91-96.
SONG Bo. Safety evaluation for deep foundation pit construction in metro station based on DEA-BP neural network[J]. China Safety Science Journal, 2019, 29(5):91-96.
[16] 岳仁田, 韩娜. 基于灰色聚类的管制扇区运行健康识别方法[J]. 科学技术与工程, 2020, 20(16):6 697-6 702.
YUE Rentian, HAN Na. Health identification of sector control operation based on gray clustering method[J]. Science Technology and Engineering, 2020, 20(16):6 697-6 702.
[17] 苏飞. 城市道路路网交通运行状态分析方法及应用研究[D]. 北京:北京交通大学, 2017.
SU Fei. Study on analysis of urban road network traffic with applications [D]. Beijing: Beijing Jiaotong University, 2017.
[18] 施红, 王强. 基于熵权的集对分析模型在航空维修安全评价中应用[J]. 实验室研究与探索, 2014, 33(10),274-278.
SHI Hong, WANG Qiang. Aviation maintenance safety evaluation application based on entropy and set-pair analysis model [J]. Laboratory Research and Exploration, 2014, 33(10):274-278.
[19] 林海飞, 高帆, 严敏, 等. 煤层瓦斯含量PSO-BP神经网络预测模型及其应用[J]. 中国安全科学学报, 2020, 30(9):80-87.
LIN Haifei, GAO Fan, YAN Min, et al. Study on PSO-BP neural network prediction method of coal seam gas content and its application [J]. China Safety Science Journal, 2020, 30(9):80-87.

基于四诊法的管制席安全运行状态诊断^*

Diagnosis of safety operation state for ATC position based on four diagnostic methods

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