基于相依网络和SVM的管制系统运行态势评估

doi:10.12305/j.issn.1001-506X.2021.05.16

Abstract

Abstract:

An objective and accurate assessment of the overall operation situation of the control system can help the controller to control the operation state of the control system on the macro level. To solve the problem, an operation situation assessment method of control system based on the interdependent network and support vector machine(SVM) is proposed. The control-aircraft state interdependent network model is used to represent the control system, which fully considers the overall state of aircrafts and controllers. The interdependent network indicators are used to describe network operation situation. Choosing SVM as assessment method, the operation situation assessment problem is transformed into a classification problem. The distance from the point to the smooth operation classification boundary is used as an index to assess the operation situation of the control system, thus reducing the influence of subjective factors on the assessment method. The results of simulation analysis and an example analysis at Changshui Airport show that the assessment method can give specific operation situation values of the control system and provide objective and accurate situation information for the controllers.

Key words: air traffic control, complex network, interdependent network, support vector machine (SVM), situation assessment

CLC Number:

V355

Ang LI, Dangmin NIE, Xiangxi WEN, Zekun WANG, Chengxiu YANG. Operation situation assessment of control system based on interdependent network and SVM[J]. Systems Engineering and Electronics, 2021, 43(5): 1287-1294.

Figures/Tables 14

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References 33

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m的取值范围	运行态势等级	运行态势等级解释
m≤0	高	管制系统的运行态势良好
0＜m≤1	中	管制系统的运行态势下降, 但仍较好
1＜m＜2	低	管制系统的运行态势较为严峻
m≥ 2	差	管制系统的运行态势已经非常严峻

序号	拓扑指标					标签
序号	${\bar k}$	NE	ND	${\bar s}$	${\bar C}$	标签
网络1	9.026	0.272	1.130	42.93	0.733	1
网络2	7.795	0.246	0.746	28.36	0.708	1
网络3	7.385	0.244	0.648	24.61	0.703	1
┆	┆	┆	┆	┆	┆	┆
网络28	10.469	0.270	0.949	59.780	0.821	-1
网络29	11.813	0.273	1.237	77.924	0.773	-1
网络30	11.188	0.267	0.940	59.217	0.784	-1

序号	m取值	等级	序号	m取值	等级
网络1	-1.50	高	网络16	1.89	低
网络2	-8.23	高	网络17	1.78	低
网络3	0.21	中	网络18	1.96	低
网络4	-1.80	高	网络19	1.85	低
网络5	0.28	中	网络20	2.94	差
网络6	-5.67	高	网络21	1.95	低
网络7	-7.01	高	网络22	2.14	差
网络8	-1.16	高	网络23	3.19	差
网络9	-1.37	高	网络24	2.69	差
网络10	0.56	中	网络25	3.29	差
网络11	0.84	中	网络26	2.08	差
网络12	0.04	中	网络27	2.93	差
网络13	0.67	中	网络28	2.10	差
网络14	0.12	中	网络29	2.04	差
网络15	-1.29	高	网络30	2.09	差

时刻	拓扑指标
时刻	${\bar k}$	NE	ND	${\bar s}$	${\rm{\bar k}}$C
17:00:21	11.500	0.267	1.044	65.769	0.755
17:05:22	10.271	0.266	0.882	51.156	0.759
17:10:20	9.259	0.273	0.995	52.716	0.779
17:15:22	8.776	0.258	0.608	29.198	0.716
17:20:21	8.136	0.272	0.496	21.34	0.730
17:25:23	8.410	0.241	0.890	33.80	0.688

时刻	评估值	运行态势等级
17:00:21	4.26	差
17:05:22	2.59	差
17:10:20	1.48	低
17:15:22	0.85	中
17:20:21	-5.15	高
17:25:23	-3.64	高

Operation situation assessment of control system based on interdependent network and SVM

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