面向体系作战的水下无人攻防装备发展构想

着眼于我国海军战略转型时期水下作战能力不足的问题及水下无人装备体系化发展需求,分析了美国水下无人装备发展特点。按照装备体系设计方法,从作战任务、能力需求、能力差距、装备需求等方面进行分析研究,提出了一种由“近海、中远海、舰/艇载”等几类装备构成的水下无人攻防装备体系构想。     

美军水下无人作战力量发展趋势及启示

美军凭借强大技术优势,领跑新型无人作战装备发展,其水下无人作战力量建设经验和发展趋势对世界各国海军有着重要启示和借鉴作用.简述了美军水下无人作战力量发展规划,重点从美军水下无人作战能力建设、装备发展以及部队建设3个方面研究了美军水下无人作战力量发展趋势,从装备发展方向、顶层设计思路、军民融合途径、建用结合方法以及人才培...     

基于水下预置系统的深远海水下作战体系

通过分析强敌对我不断加大防范遏制力度,且水下装备技术朝信息化、智能化方向的快速发展, 提出构建基于水下预置系统的深远海水下作战能力对根本扭转我海上战略安全形势、在深远海有效拒止强敌的重大意义和难得机遇。在此基础上,进一步分析了基于水下预置系统的深远海水下作战体系担负的主要作战任务、基本构成及能力优势。选取东海方向大规模军事行动中,位第二岛链内外实施拒止作战作为典型场景,初步探索了体系基本兵力部署及总体运用,并对未来开展体系建设提出了思考建议。     

无人水下智能海洋测绘装备的机遇与挑战

针对海洋测绘面临的问题,分析了无人时代海洋测绘技术的发展机遇,提出了无人水下智能海洋测绘的新模式,讨论了无人水下智能海洋测绘的技术体系和无人水下智能海洋测绘装备的关键技术,以及无人水下智能海洋测绘的装备产业链,展望了无人水下智能海洋测绘装备的发展趋势及应用前景。     

海洋无人观测装备发展与应用思考

海洋无人自主观测装备作为海洋观探测的一种不可替代的高科技先进装备和新兴装备,是海洋观探测装备摇篮中的新生命、新领域的开拓者。基于海洋无人观测装备提高海洋移动观测能力是未来构建立体、连续、实时水下观测网络的重要技术手段,将会对未来海洋观探测的方式产生深远影响。基于国内外海洋无人观测装备发展与应用现状分析,对我国海洋无人观测装备发展的主要问题和差距进行了思考,并对海洋无人观测装备未来的发展应用进行了展望。     

海洋环境监测装备技术发展综述

概述了我国十八大以来国家海洋战略要求,以海洋监测技术基础学科的属性,阐述了自主发展海洋监测装备的重要性;通过介绍海洋环境监测的基本内涵、海洋环境监测技术类别、装备体系及国内外发展现状,分析未来服务于国家海洋强国战略的需求及发展趋势,提出了我国装备技术发展建议。     

水下无人系统发展概念和研究现状

水下无人系统在降低平台全寿命费用、减少高危作业风险与人员伤亡等方面具有先天优势,使其成为当今世界各国争相研究的热点领域。深入分析了美国水下无人系统的发展战略和现状,研究了我国水下无人系统的实际需求,提出了我国水下无人系统的发展概念和思路。     

大型无人潜航器的发展与军事用途

随着新型军事需求的牵引和新型技术的进步,美、俄等国逐步重视大型无人潜航器的发展,无论从概念、技术、样机还是验证阶段,均取得了突破性的进展。梳理了大型无人潜航器的国外发展现状,总结了大型无人潜航器的关键技术及军事用途,展望了我国大型无人潜航器的发展前景。     

基于海洋仪器设备的动力环境实验模拟

海洋动力环境实验模拟是海洋环境监测技术、海洋能开发技术研究的基础,其目的是为海洋仪器设备的研制与测试提供模拟的实验环境.实验模拟动力环境参数的确定是关键,根据海洋仪器设备(包含海洋监测仪器设备与海洋可再生能源开发利用设备等)的需求以及我国沿海实际风、浪、流的特征,确定了实验模拟的相关参数.     

The Development of a Biologically Inspired Propulsor for Unmanned Underwater Vehicles

Fish are remarkable in their ability to maneuver and to control their body position. This ability is the result of the coordinated movement of fins which extend from the body and form control surfaces that can create and vector forces in 3-D. We have embarked on a research program designed to develop a maneuvering propulsor for unmanned undersea vehicles (UUVs) that is based on the pectoral fin of the bluegill sunfish. For this, the anatomy, kinematics, and hydrodynamics of the sunfish pectoral fin were investigated experimentally and through the use of computational fluid dynamics (CFD) simulations. These studies identified that the kinematics of the sunfish pectoral fin are very complex and are not easily described by traditional ldquorowingrdquo- and ldquoflappingrdquo-type kinematics. A consequence of the complex motion is that the pectoral fin can produce forward thrust during both its outstroke (abduction) and instroke (adduction), and while doing so generates only small lateral and lift forces. The results of the biological studies were used to guide the design of robotic pectoral fins which were built as experimental devices and used to investigate the mechanisms of thrust production and control. Because of a design that was based heavily on the anatomy of the sunfish fin, the robotic pectoral fins had the level of control and degrees of freedom necessary to reproduce many of the complex fin motions used by the sunfish during steady swimming. These robotic fins are excellent experimental tools, and are an important first step towards developing propulsive devices that will give the next generation of UUVs the ability to produce and control thrust like highly maneuverable fish.     

A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders

This study analyzes and summarizes seven main characteristics of the marine data sampled by multiple underwater gliders. These characteristics such as the big data volume and data sparseness make it extremely difficult to do some meaningful applications like early warning of marine environment. In order to make full use of the sea trial data, this paper gives the definition of two types of marine data cube which can integrate the big marine data sampled by multiple underwater gliders along saw-tooth paths, and proposes a data fitting algorithm based on time extraction and space compression(DFTS) to construct the temperature and conductivity data cubes. This research also presents an early warning algorithm based on data cube(EWDC) to realize the early warning of a new sampled data file.Experiments results show that the proposed methods are reasonable and effective. Our work is the first study to do some realistic applications on the data sampled by multiple underwater vehicles, and it provides a research framework for processing and analyzing the big marine data oriented to the applications of underwater gliders.