无人机分布式集群态势感知模型研究

高杨; 李东生; 程泽新

doi:10.11999/JEIT170877

无人机分布式集群态势感知模型研究

doi: 10.11999/JEIT170877

基金项目:

国家自然科学基金(61179036)，国防科技创新特区基金(17-163-11-ZT-004-014-02)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-09-18
- 修回日期: 2018-01-10
- 刊出日期: 2018-06-19

UAV Distributed Swarm Situation Awareness Model

Funds:

The National Natural Science Foundation of China (61179036), The National Defense Technology Innovation Special Zone Foundation of China (17-163-11-ZT-004-014-02)

摘要

摘要: 以无人机(UAV)为代表的无人系统分布式集群作战是未来战斗力的增长点，集群态势感知是集群作战的重要环节。该文在典型态势感知模型的基础上，从理论模型、态势感知一致性、评价方法等方面，对无人机分布式集群态势感知展开研究。将基于动态系统的Endsley1995态势感知(SA)模型中的心智模型修改为人机智能模型，得到无人机个体的态势感知模型；基于团体SA和分布式SA(DSA)理论，按照无人机集群类型，分别设计同构和异构无人机集群SA模型；对无人机集群SA中的一致性问题和评价问题进行分析，给出同构无人机集群SA的一致性形成过程，异构无人机集群SA的一致性判断方法和无人机集群SA评价方法的选择流程。分析表明，建立的集群态势感知模型符合集群协同作战特点，有一定的积极意义。
- 无人机集群 /
- 集群态势感知 /
- 分布式态势感知 /
- 一致性
Abstract: The distributed swarm operation of unmanned systems represented by Unmanned Aerial Vehicle (UAV) is the growth point of the future war, and the swarm situation awareness is an important part. Based on the typical situation awareness model, the distributed swarm situation awareness of UAV is studied. Firstly, in the individual level, the mental model in the dynamic system of the Endsley1995 Situation Awareness (SA) model is modified as a human-computer intelligent model. Then in accordance with the UAV swarm type, isomorphic and heterogeneous, based on the team SA and Distributed SA (DSA) theory, the UAV swarm SA model are built. Then, the consensus and evaluation problems of UAV Swarm SA are analyzed. The consensus formation process of isomorphic UAV swarm SA and the consensus judgment method of heterogeneous UAV swarm SA are given. And the choice of UAV swarm SA evaluation method is analyzed. The analysis shows that the proposed swarm situation awareness model is corresponding to the swarm cooperative combat characteristics and has certain positive significance.
- Unmanned Aerial Vehicle (UAV) swarm /
- Swarm situation awareness /
- Distributed Situation Awareness (DSA) /
- Consensus

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参考文献(34)

余淮, 杨文. 一种无人机航拍影像快速特征提取与匹配算法[J]. 电子与信息学报, 2016, 38(3): 509-516. doi: 10.11999/ JEIT150676.

YU Huai and YANG Wen. A fast feature extraction and matching algorithm for unmanned aerial vehicle images[J]. Journal of Electronics Information Technology, 2016, 38(3): 509-516. doi: 10.11999/JEIT150676.

SOREBSEN L J, STANTON N A, and BANKS A P. Back to SA school: Contrasting three approaches to situation awareness in the cockpit[J]. Theoretical Issues in Ergonomics Science, 2011, 12(6): 451-471.

ENDSLEY M R. Designing for Situation Awareness: An Approach to User-centered Design[M]. Boca Raton, USA, CRC Press, 2016: 13-28.

CHIAPPER D L, RORIE R C, MORGAN C A, et al. A situated approach to the acquisition of shared SA in team contexts[J]. Theoretical Issues in Ergonomics Science, 2014, 15(1): 69-87.

STANTON N A, STEWART R, HARRIS D, et al. Distributed situation awareness in dynamic systems: Theoretical development and application of an ergonomics methodology[J]. Ergonomics, 2006, 49(12/13): 1288-1311.

STANTON N A, SALMON P M, WALKER G H, et al. State-of-science: Situation awareness in individuals, teams and systems[J]. Ergonomics, 2017, 60(4): 449-466.

SALAS E, SIMS D E, and BURKE C S. Is there a big five in teams work?[J]. Small Group Research, 2005, 36(5): 555-599.

SALAS E, SHUFFER M L, THAYER A L, et al. Understanding and improving teams work in organizations: A scientifically based practical guide[J]. Human Resource Management, 2015, 54(4): 599-622.

SANER L D, BOLSTAD C A, GONZALEZ C, et al. Measuring and predicting shared situation awareness in teams[J]. Journal of Cognitive Engineering and Decision Making, 2009, 3(3): 280-308.

KOKAR M M and ENDSLEY M R. Situation awareness and cognitive modeling[J]. IEEE Intelligent Systems, 2012, 27(3): 91-96.

PLANT K L and STANTON N A. Distributed cognition in Search and Rescue: Loosely coupled tasks and tightly coupled roles[J]. Ergonomics, 2016, 59(10): 1353-1376.

SORENSEN L J and STANTON N A. Inter-rater reliability and content validity of network analysis as a method for measuring distributed situation awareness[J]. Theoretical Issues in Ergonomics Science, 2016, 17(1): 42-63.

张东戈, 孟辉, 赵慧赟. 态势感知水平的解析化度量模型[J]. 系统工程与电子技术, 2016, 38(8): 1808-1815. doi: 10.3969/ j.issn.1001-506X.2016.08.15.

ZHANG Dongge, MENG Hui, and ZHAO Huiyun. Analytical measurement model of situation awareness [J]. System Engineering and Electronics, 2016, 38(8): 1808-1815. doi: 10.3969/j.issn.1001-506X.2016.08.15.

黄匆, 陶九阳, 张东戈, 等. 分布式态势感知一致性分析与度量方法研究[J]. 指挥控制与仿真, 2014, 36(3): 1-8. doi: 10.3969 /j.issn.1673-3819. 2014.03.001.

HUANG Cong, TAO Jiuyang, ZHANG Dongge, et al. Analyzing and measuring approach on the consensus of distributed situation awareness[J]. Command Control Simulation, 2014, 36(3): 1-8. doi: 10.3969/j.issn.1673-3819. 2014.03.001.

罗爱民, 刘俊先, 刘刚. 基于SEA 的战场态势一致性评估方法[J]. 火力与指挥控制, 2013, 38(2): 40-44.

LUO Aimin, LIU Junxian, and LIU Gang. An evaluation method of situation consistency based on SEA[J]. Fire Control Command Control, 2013, 38(2): 40-44.

乔正伟, 羊彦, 侯静. 战场态势感知系统评价方法[J]. 指挥控制与仿真, 2016, 38(5): 47-51. doi: 10.3969/j.issn.1673-3819. 2016.05.009.

QIAO Zhengwei, YANG Yan, and HOU Jing. Evaluation methods of battlefield situational awareness system[J]. Command Control Simulation, 2016, 38(5): 47-51. doi: 10.3969/j.issn.1673-3819.2016.05.009.

ENDSLEY M R. Final reflections situation awareness models and measures[J]. Journal of Cognitive Engineering and Decision Making, 2015, 9(1): 101-111.

ENDSLEY M R. Situation awareness misconceptions and misunderstandings[J]. Journal of Cognitive Engineering and Decision Making, 2015, 9(1): 4-32.

STANTON N A. Distributed situation awareness[J]. Theoretical Issues in Ergonomics Science, 2016, 17(1): 1-7.

SAMON P M, WALKER G H, and STANTON N A. Broken components versus broken systems: Why it is systems not people that lose situation awareness[J]. Cognition, Technology Work, 2015, 17(2): 179-183.

KALLONIATIS A, ALI I, NEVILLE T, et al. The Situation Awareness Weighted Network (SAWN) model and method: Theory and application[J]. Applied Ergonomics, 2017, 61(5): 178-196.

ENDSLEY M R and ROBERTSON M M. Situation awareness in aircraft maintenance teams[J]. International Journal of Industrial Ergonomics, 2000, 26(2): 301-325.

SHU Y and FURUTA K. An inference method of teams situation awareness based on mutual awareness[J]. Cognition, Technology Work, 2005, 7(4): 272-287.

D,ANIELLO G, LOIA V, and ORUIUOLI F. A multi-agent fuzzy consensus model in a situation awareness framework[J]. Applied Soft Computing, 2015, 30(5): 430-440.

CHICLANA F, HERRERA-VIEDMA E, HERRERA F, et al. Some induced ordered weighted averaging operators and their use for solving group decision- making problems based on fuzzy preference relations[J]. European Journal of Operational Research, 2007, 182(1): 383-399.

SORENSEN L J and STANTON N A. Keeping it together: The role of transactional situation awareness in teams performance[J]. International Journal of Industrial Ergonomics, 2016, 53(5): 267-273.

孟辉, 张东戈. 连续态势变化条件下态势感知速度模型[J]. 系统工程与电子技术, 2009, 31(12): 2909-2913.

MENG Hui and ZHANG Dongge. Situational awareness velocity model under continuous change conditions[J]. System Engineering and Electronics, 2009, 31(12): 2909-2913.

STANTON N A and HARVEY C. Beyond human error taxonomies in assessment of risk in sociotechnical systems: A new paradigm with the EAST broken-links approach[J]. Ergonomics, 2017, 60(2): 221-233.

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