国外无人反水雷装备及技术发展

doi:10.12382/bgxb.2022.B019

摘要/Abstract

摘要： 随着“零伤亡”战争理念日趋深入人心，雷区无人化已逐步成为未来水雷战的发展趋势，无人系统作为新质作战力量，其在反水雷领域的应用发展备受瞩目，值得深入研究。根据国外无人反水雷发展现状，梳理对比了无人水下航行器、无人机、无人艇在反水雷领域应用的技术特点和典型装备技术战术指标，阐述归纳了无人反水雷装备发展在能源动力、自主控制、协同控制、布放回收及隐蔽隐身等方面的关键技术，并针对遥控方式、通用设计、功能拓展、协同发展等方面总结分析了未来发展趋势，可为我国无人反水雷发展提供一定的参考。

关键词: 无人系统, 反水雷装备, 无人水下航行器, 无人机, 无人艇

Abstract: As natioans are pursing the concept of “zero casualties”, the unmanned minefield has gradually become the trend of future mine warfare. As a new type of combat force, the development of unmanned systems in the anti-mine field has attracted much attention, which is worthy of further study. Based on the current situation of unmanned mine countermeasure development abroad, the technical characteristics and typical equipment indicators of UUVs, UAV,s and USVs are compared. The key techniques in unmanned mine countermeasure equipment in the fields of energy power, autonomous control, cooperative control, deployment recovery and stealth are described and summarized. The development trend of remote control, universal design, functional expansion and collaborative development are analyzed, and some references for the development of mine countermeasures in China are provided.

Key words: unmannedsystems, equipmentofminecountermeasure, unmannedunderwatervehicle, unmannedaerialvehicle, unmannedsurfacevessel

中图分类号:

E925.21

徐同乐, 刘方, 肖玉杰, 王慎, 白一惠, 罗荣. 国外无人反水雷装备及技术发展[J]. 兵工学报, 2022, 43(S2): 64-70.

XU Tongle, LIU Fang, XIAO Yujie， WANG Shen, BAI Yihui, LUO Rong. Foreign Unmanned Equipment and Technology Development in Mine Countermeasures[J]. Acta Armamentarii, 2022, 43(S2): 64-70.

参考文献

［1］任斌.国外浅水反水雷的发展探究［J］.数字海洋与水下攻防,2021,4(6):525-528.
REN B. Development research on foreign shallow water MCM［J］. Digital Ocean & Underwater Warfare，2021，4（6）：525-528.(in Chinese)
［2］王久法,吴乔,高频,等.国外无人反水雷特点及关键技术分析［J］.数字海洋与水下攻防,2020,3(5):382-386.
WANG J F, WU Q, GAO P, et al.Analysis on characteristics and key technology of foreign unmanned MCM［J］.Digital Ocean & Underwater Warfare，2020，3（5）：382-386.(in Chinese)
［3］楚立鹏,鄢宏华,范强,等.国外水下无人潜航器及其通信技术发展综述［J］.中国电子科学研究院学报,2022,17(2):112-118.
CHU L P, YAN H H, FAN Q, et al.Overview of unmanned underwater vehicles and the communication technologies abroad［J］.Journal of China Academy of Electronics and Information Technology,2022，17（2）：112-118. (in Chinese)
［4］刘大庆,赵云飞,吴超,等.美军水下无人作战力量发展趋势及启示［J］.数字海洋与水下攻防,2021,4(4):257-263.
LIU D Q，ZHAO Y F，WU C，et al. Development trend and enlightenment of U.S. unmanned underwater combat force［J］. Digital Ocean & Underwater Warfare，2021，4（4）：257-263. (in Chinese)
［5］王海涛,梁镜,单俊杰.潜载UUV研究现状分析［J］.数字海洋与水下攻防,2021,4(5):351-356.
WANG H T, LIANG J, SHAN J J. Analysis on research status of submarine-launched UUV［J］. Digital Ocean & Underwater Warfare，2021，4（5）：351-356. (in Chinese)
［6］刘洋,周江平,王希晨,等.无人潜航器在水下攻防作战中的应用分析［J］.海军工程大学学报(综合版),2021,18(2):84-88.
LIU Y，ZHOU J P，WANG X C，et al. Application of unmanned underwater vehicle in underwater offensive and defensive operations［J］. Journal of Naval University of Engineering(Comprehensive Edition) ，2021,18（2）：84-88. (in Chinese)
［7］刘怡彪,薛珂,王春科.国外无人机发展趋势研究［J］.工程与试验,2020,60(3):41-42，64.
LIU Y B, XUE K, WANG C K. Research on the development trend of foreign UAV［J］. Engineering & Test，2020，60（3）：41-42,64. (in Chinese)
［8］于力,马振利,江宝城.外军军用无人机体系现状及发展趋势［J］.飞航导弹,2020(5):34-39.
YU L, MA Z L, JIANG B C. Current situation and development trend of foreign military UAV system ［J］. Aerodynamic Missile Journal，2020（5）：34-39. (in Chinese)
［9］袁成,董晓琳,朱超磊.2020年国外先进军用无人机技术发展综述［J］.飞航导弹,2021(1):17-24.
YUAN C, DONG X L, ZHU C L. 2020 review of advanced military UAV technologies abroad［J］. Aerodynamic Missile Journal, 2021(1):17-24. (in Chinese)
［10］朱超磊,袁成,杨佳会,等.2021年国外军用无人机装备技术发展综述［J］.战术导弹技术,2022(1):38-45.
ZHU C L, YUAN C, YANG J H, et al. Overview of the development of foreign military UAV systems and technology in 2021［J］. Tactical Missile Technology，2022（1）：38-45. (in Chinese)
［11］熊勇,余嘉俊,张加,等.无人艇研究进展及发展方向［J］.船舶工程,2020,42(2):12-19.
XIONG Y, YU J J, ZHANG J, et al. Progress and development of unmanned boats［J］.Ship Engineering, 2020, 42(2):12-19. (in Chinese)
［12］王松.无人水下航行器在反水雷中的应用探讨［J］.数字海洋与水下攻防,2022,5(3):260-265.
WANG S. Discussion on application of unmanned underwater vehicle in MCM［J］. Digital Ocean & Underwater Warfare，2022，5（3）： 260-265. (in Chinese)
［13］王进,王慧.反水雷无人艇的发展趋势分析［J］.数字海洋与水下攻防,2021,4(2):113-116.
WANG J, WANG H. Analysis on development trend of MCM unmanned surface vehicle［J］. Digital Ocean & Underwater Warfare，2021，4（2）：113-116. (in Chinese)
［14］钱东,赵江,杨芸.军用UUV发展方向与趋势(上)——美军用无人系统发展规划分析解读［J］.水下无人系统学报,2017,25(2):1-30.
QIAN D, ZHAO J, YANG Y. Development trend of military UUV(Ⅰ): a review of U.S. military unmanned system development plan［J］.Journal of Underwater Unmanned Systems, 2017, 25 (2): 1-30. (in Chinese)
［15］李磊,徐月,蒋琪,等.2018年国外军用无人机装备及技术发展综述［J］.战术导弹技术,2019(2):1-11.
LI L, XU Y, JIANG Q, et al. A review of foreign military drone equipment and technology developments in 2018 ［J］. Tactical Missile Technology, 2019(2):1-11.(in Chinese)
［16］孙明月.国外海军无人直升机发展现状分析［J］.军民两用技术与产品,2019(11):26-31.
SUN M Y. Analysis on the development of unmanned helicopter of foreign navy［J］.Dual-Use Technologies and Products, 2019(11): 26-31. (in Chinese)
［17］孔维玮,冯伟强,诸葛文章,等.美军大中型水面无人艇发展现状及启示［J］.指挥控制与仿真,2022,44(5):14-18.
KONG W W, FENG W Q, ZHUGE W Z, et al. The development and enlightenment of large and medium-sized unmanned surface vehicles of the US navy ［J］. Command Control & Simulation, 2022, 44(5): 14-18. (in Chinese)
［18］曹红梅,胡光兰,李晓东.国外无人潜航器能源技术发展现状与趋势研究［J］.数字海洋与水下攻防,2022,5(4):361-368.
CAO H M, HU G L, LI X D. Research on the development status trend of foreign unmanned underwater vehicle energy technology［J］. Digital Ocean & Underwater Warfare，2022, 5(4):361-368. (in Chinese)

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