基于EC2的无人化作战体系云流化指控架构设计方法

doi:10.12305/j.issn.1001-506X.2022.11.16

摘要/Abstract

摘要：

针对传统指控架构难以满足新型无人化作战体系需求的问题, 基于云协同理念提出“前线无人作战流”与“后方有人指控云”有机融合的云流化指控概念, 设计指控资源云服务模式。在面向无人化作战改进组织指挥与控制(enterprise command and control, EC2)理论适变性的基础上, 解耦指控组织与指控服务并分别进行设计, 将组织、节点和事件三个层面的适变行为建模为指控关系的应变过程, 进而提出支持按需重构指控关系的适变价值生产单元(value production unit, VPU)模型。最后, 以边境管控使命为例详细阐述了云流化指控架构设计方案, 效能评估结果表明其在时效性和鲁棒性方面具有优势, 可以更好地适用于无人化作战体系。

关键词: 无人化作战体系, 指挥控制, 云流化, 指控架构, 组织指挥与控制

Abstract:

The traditional architecture of command and control (C2) is hard to meet the needs of the unmanned combat system of systems (SoS). Based on the cloud collaboration, this paper proposes a concept of cloud-flow C2 that organically integrates "front unmanned operational flow" and "rear manned C2 cloud", and designs a cloud service mode for C2 resource. On the basis of improving the enterprise C2 (EC2) theory adaptability for unmanned combat, entity organization and virtual service of C2 are decoupled and designed respectively. Furthermore, adaptive behaviors of organization, node and event are modeled as the response process of C2 relationship, and then an adaptive value production unit (VPU) model supporting on-demand reconstruction of C2 relationship is proposed. Finally, taking the mission of border management and control as an example, the design scheme of the cloud-flow C2 architecture is elaborated in detail. The effectiveness evaluation results show that it has advantages in timeliness and robustness, and it can be better applied to the unmanned combat SoS.

Key words: unmanned combat system of systems (SoS), command and control (C2), cloud-flow, C2 architecture, enterprise command and control (EC2)

中图分类号:

E917

黄美根, 王维平, 王涛, 李小波, 何华, 杨松. 基于EC2的无人化作战体系云流化指控架构设计方法[J]. 系统工程与电子技术, 2022, 44(11): 3413-3422.

Meigen HUANG, Weiping WANG, Tao WANG, Xiaobo LI, Hua HE, Song YANG. EC2-based architecture design method of cloud-flow C2 for unmanned combat SoS[J]. Systems Engineering and Electronics, 2022, 44(11): 3413-3422.

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指控服务映射关系	云流化指控概念模型
指控服务映射关系	态势云	计划云	决策云	执行云	适变云
OODA模型	观察-判断环节	决策环节		行动环节	OODA环节奏的按需控制
PREA模型	预测态势-直前态势-实时态势-历史态势	预先筹划-临机筹划-直前筹划	周密决策-快速决策-精确决策	执行-评估	各环节逐步细化的快速迭代
HEAT模型	监视-理解	计划准备(方案开发-方案评估)	决策	指令	-

规则编号	规则名称	执行主体	规则条件	规则断言	规则标志
FAR-1-1	作战流匹配规则	适变云	IF(拟中止任务ID=第K号作战流正在执行的任务ID);	THEN(事件对象=第K号作战流);	1
	作战流匹配规则	适变云			
RAR-2-1	指控角色匹配规则	适变云	IF((事件类型响应权限指控节点集P)&(p=P_min));	THEN(事件对象=指控节点p);	1
RAR-2-2	指控角色匹配规则	适变云	IF(事件业务范围原子云C);	THEN(业务原子云=原子云C);	1
	指控角色匹配规则	适变云			

规则名称	执行主体	规则编号	规则条件	规则断言	规则标志
指控角色匹配规则	适变云				
		RAR-2-09	IF(发现新目标=事件业务类型);	THEN(原子云=决策云);	1
		RAR-2-10	IF(敌武装力量机动事件内容属性);	THEN(事件响应权限=兵力指控节点);	0
		RAR-2-11	IF(敌武装力量机动事件内容属性);	THEN(事件响应权限=体系指控节点);	1
		RAR-2-12	IF(集群状态异常事件业务类型);	THEN(原子云=执行云);	1
		RAR-2-13	IF(无人平台失联事件内容属性);	THEN(事件响应权限=兵力指控节点);	1
					

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