战术级医疗救治装备运用效能建模仿真研究

doi:10.16182/j.issn1004731x.joss.21-0831

摘要/Abstract

摘要：

针对目前我军战术级医疗救治装备运用效能研究缺乏有效的建模仿真手段，通过伤员模型、装备模型、评价模型构建起装备运用效能建模仿真研究框架。基于Anylogic 8.7.0建模仿真平台中的多Agent方法，模拟了伤员产生及其在医疗救治装备间的流转过程。以某次战术级卫勤演习为背景，对其医疗救治装备整体保障能力进行了科学量化评估，发现了制约系统整体运用效能的关键装备类型，验证了建模仿真方法的有效性和价值性，为后续医疗救治装备编配优化和辅助卫勤指挥决策提供了方法支撑。

关键词: 医疗救治装备, 运用效能, 建模仿真, Anylogic

Abstract:

In view of the lack of effective modeling and simulation means for the current research on the application efficiency of tactical medical treatment equipment in our army, a modeling and simulation research framework for the application effectiveness of equipment through the wounded model, equipment model and evaluation model is constructed. Based on the multi-agent method in Anylogic8.7.0 modeling and simulation platform, the casualty generation and its circulation process among medical treatment equipment are simulated. In the context of a tactical medical exercis, the overall support capability of medical treatment equipment is evaluated scientifically and quantitatively, and the key equipment types that restrict the overall application efficiency of the system are found. The effectiveness and value of the modeling and simulation method are verified, which provides a methodological support for the subsequent optimization of medical equipment allocation and auxiliary medical command decision.

Key words: medical treatment equipment, application efficiency, modeling and simulation, Anylogic

中图分类号:

R318

鹿国伟, 陶学强, 段德光, 李昊, 张泽瑞, 陈恩. 战术级医疗救治装备运用效能建模仿真研究[J]. 系统仿真学报, 2023, 35(1): 190-201.

Guowei Lu, Xueqiang Tao, Deguang Duan, Hao Li, Zerui Zhang, En Chen. Research on Modeling and Simulation of Application Efficiency of Tactical Medical Equipment[J]. Journal of System Simulation, 2023, 35(1): 190-201.

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参考文献 20

1	孙国琳, 由林, 郭树森. 战伤救治阶梯分级的探讨[J]. 人民军医, 2020, 63(9): 825-828.
	Sun Guolin, You Lin, Guo Shusen. Discussion on the Ladder Classification of War Wound Treatment[J]. People's Military Surgeon, 2020, 63(9): 825-828.
2	于景元. 系统工程及其理论基础[J]. 系统工程与电子技术, 1989(7): 1-12, 76.
	Yu Jingyuan. Systems Engnieering and Its Theoretical Basis[J]. Systems Engineering and Electronics, 1989(7): 1-12, 76.
3	张平. 野战医疗所医疗装备使用效能评估模型的研究[D]. 重庆: 第三军医大学, 2017.
	Zhang Ping. Research on Evaluation Model of Use Efficiency with Medical Equipment in Field Medical Post[D]. Chongqing: Third Military Medical University, 2017.
4	卜寒奇, 汪文生. 军队卫生装备优化编配建模方法研究[J]. 第二军医大学学报, 2011, 32(5): 532-536.
	Bu Hanqi, Wang Wensheng. Modeling Method for Allocation Optimization of Military Medical Equipments[J]. Academic Journal of Second Military Medical University, 2011, 32(5): 532-536.
5	张卫, 赵建军, 张义, 等. 基于仿真实验的卫勤决策支持系统研发[J]. 解放军医院管理杂志, 2012, 19(10): 936-937.
	Zhang Wei, Zhao Jianjun, Zhang Yi, et al. A Decision Support System for Military Health Service Based on Simulation Experiment[J]. Hospital Administration Journal of Chinese People's Liberation Army, 2012, 19(10): 936-937.
6	郝枭雄, 黄朝晖, 王云贵. 基于智能体的陆军合成部队战现场急救建模研究[J]. 军事医学, 2018, 42(6): 401-405.
	Hao Xiaoxiong, Huang Zhaohui, Wang Yungui. An Agent-based Modeling Research on the Battle Field First Aid in Combined Army Brigades[J]. Military Medical Sciences, 2018, 42(6): 401-405.
7	郝枭雄, 马建威, 黄朝晖, 等. 战斗减员过程的系统动力学与多智能体仿真研究[J]. 系统仿真学报, 2020, 32(4): 738-743.
	Hao Xiaoxiong, Ma Jianwei, Huang Zhaohui, et al. System Dynamics and Multi-agent Simulation Research on Ground Combat Personnel Attrition[J]. Journal of System Simulation, 2020, 32(4): 738-743.
8	彭博, 郭元晖, 徐雷, 等. 陆上联合作战减员情况模拟与数据分析[J]. 军事医学, 2019, 43(8): 564-569.
	Peng Bo, Guo Yuanhui, Xu Lei, et al. Casualty Simulation and Data Analysis of Attrition in Land Joint Operations[J]. Military Medical Sciences, 2019, 43(8): 564-569.
9	Junges S, Katoen J, Pérez GA, et al. The Complexity of Reachability in Parametric Markov Decision Processes[J]. Journal of Computer and System Sciences (S1090-2724), 2021, 119: 183-210.
10	Jenkins P R, Robbins M J, Lunday B J. Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies[J]. Informs Journal on Computing (S1091-9856), 2021, 33(1): 2-26.
11	Fiedrich F, Gehbauer F, Rickers U. Optimized Resource Allocation for Emergency Response after Earthquake Disasters[J]. Safety Science (S0925-7535), 2000, 35(1): 41-57.
12	Knight V, Harper P, Smith L. Ambulance Allocation for Maximal Survival with Heterogeneous Outcome Measures[J]. Omega (S0305-0483), 2012, 40(6): 918-926.
13	张凯, 伍瑞昌, 王运斗, 等. 野外救治机构伤病员救治建模与仿真研究[J]. 系统仿真学报, 2014, 26(4): 936-941.
	Zhang Kai, Wu Ruichang, Wang Yundou, et al. Modeling and Simulation of Casualty Treatment in Field Medical Treatment Facility[J]. Journal of System Simulation, 2014, 26(4): 936-941.
14	Bannon S M, Kumar R G, Bogner J, et al. Reinjury after Moderate to Severe TBI: Rates and Risk Factors in the NIDILRR Traumatic Brain Injury Model Systems[J]. Journal of Head Trauma Rehabilitation (S0885-9701), 2021, 36(1): 50-60.
15	Ahmad N, Ghani N A, Kamil A A, et al. Simulating the Impact of an Increase in Patient Volume on a Government Emergency Department in Malaysia[C]//2013 3rd International Conference on Management and Artificial Intelligence(ICMAI 2013). Bangkok, Thailand: IEDRC, 2013: 81-85.
16	郝枭雄, 何君, 黄率帅, 等. 军运会伤病员转运仿真与运力配置优化研究[J]. 军事医学, 2020, 44(9): 665-670.
	Hao Xiaoxiong, He Jun, Huang Lüshuai, et al. Simulation and Optimization of Patient Transportation in the Military World Games[J]. Military Medical Sciences, 2020, 44(9): 665-670.
17	郭海湘, 曾杨, 陈卫明. 基于社会力模型的多出口室内应急疏散仿真研究[J]. 系统仿真学报, 2021, 33(3): 721-731.
	Guo Haixiang, Zeng Yang, Chen Weiming. Research on Indoor Emergency Evacuation Simulation of Multi-exit Based on social Force Model[J]. Journal of System Simulation, 2021, 33(3): 721-731.
18	Gc A, Ob B, Zm B, et al. On the Improvement of Representative Demand Curves Via a Hierarchical Agglomerative Clustering for Power Transmission Network Investment[J]. Energy (S0360-5442), 2021, 222: 119989.
19	Ko Y, Park B, Lee H, et al. Developing and Testing a Korean Patient Classification System for General Wards Based on Nursing Intensity[J]. Nursing Open(S2054-1058), 2021, 8(4): 1870-1878.
20	邹志刚, 车万方. 面向"超网络+"的装备体系作战运用仿真实验框架[J]. 军事运筹与系统工程, 2016, 30(3): 16-21.
	Zou Zhigang, Che Wanfang. Simulation Experimental Framework for "Super Network +" Equipment System Combat Application[J]. Military Operations Research and Systems Engineering, 2016, 30(3): 16-21.

演习名称	显著性P
演习1	0.00
演习2	0.00
演习3	0.03

序号	战斗阶段	显著性P
1	机动接敌	0.537
2	信火打击	0.410
3	冲击突破	0.725

分组名称	装备名称
检伤分类组	检伤分类模块
紧急救治组	急救模块
	心电图机
	彩超机
手术组	手术模块
重伤监护组	重伤监护模块
医技保障组	X线机
	血球计数仪
	生化分析仪
	离心机
	凝血分析仪
	血气分析仪
伤员留治组	伤员留治模块

装备名称	装备数量 Q(台)	装备利用率 U/%	平均等待时间 W/min	最大等待人数M	最大等待时间 N/min
手术模块	2	62	24.60	5.60	103.67
重症监护模块	4	59	12.63	4.21	46.44
急救模块	5	58	5.30	7.03	53.67
凝血分析仪	1	44	0.19	2.10	12.01
离心机	1	43	0.01	0.03	0.47
生化分析仪	1	39	0.01	0.02	0.53
X线机	1	25	2.26	1.00	12.63
血球计数仪	1	24	0.31	2.20	7.04
伤员留治模块	25	15	0.77	3.20	6.01
血气分析仪	1	12	0.56	0.80	8.02
彩超机	1	9	0.55	0.70	5.01
检伤分类模块	2	6	0.11	2.90	1.88
心电图机	1	4	0.01	1.30	1.73

手术模块数量	装备名称	装备利用率 U/%	平均等待时间 W/min	最大等待人数M	最大等待时间 N/min
4	急救模块	57	7.19	6.75	51.45
	手术模块	34	11.78	3.56	48.87
	重症监护模块	58	24.51	7.32	66.83
6	急救模块	55	7.65	6.59	52.16
	手术模块	22	6.23	1.51	25.39
	重症监护模块	59	31.13	10.45	95.63