海洋战场环境虚拟仿真研究与应用

系统介绍了台湾海军虚拟海洋环境模拟系统中的“海底景观显示系统”主要组成及其功能,分析了国内外海洋环境仿真研究的发展动态,结合院校信息化教学建设工程提出了若干思考和建议。     

基于SOA的远程预警仿真系统的研究与实现

远程预警系统是由多平台多传感器组成的复杂系统,是国土防空体系的重要组成部分。在对预警系统预警过程进行分析的基础上,基于面向服务的体系结构进行仿真系统框架设计,将系统功能抽象为服务实现系统重用性和可扩展性。采用Windows Communication Foundation(WCF)进行面向服务编程,初步实现了远程预警仿真系统的部分功能,通过调用信息融合算法,综合利用各类传感器资源探测信息实现对目标的探测与跟踪任务。测试结果验证了仿真系统及相关融合算法的有效性。     

创新人才军民融合培养体系及其构建

创新人才军民融合培养构成人才强国战略、创新驱动发展战略和军民融合发展战略的交汇点。创新人才是战略资源,军民融合为创新人才培养提供了一条全新路径。作为一项系统工程,创新人才军民融合培养包括创新人才军民融合培养主体系统、创新人才军民融合培养客体系统、创新人才军民融合培养方案系统、创新人才军民融合培养资源系统、创新人才军民融合培养制度系统、创新人才军民融合培养考评系统,在系统构建过程中需加大统筹协调、投入保障、政策倾斜、法治保障、合理使用力度,注重体系推进。     

分布式监测系统故障诊断功能模型分析

分布式监测系统长时间的连续监测,累计的数据量非常可观,为了数据实时传输及节省传输成本,对监测的数据现场预处理,采取一定的方法压缩数据量非常必要.目前,针对状态数据传输过程中的数据压缩与传输效率的研究还很少,一般采用黑匣子功能模型或白匣子功能模型,虽然具有减少数据冗余的作用,但是没有考虑数据流本身冗余特性,提出基于数据压缩的分布式监测系统功能模型,提高了通信速度和可靠性,满足了实时传输的要求.     

机载多智能体信息融合决策系统

将多智能体技术引入到多传感器信息融合领域,通过充分利用智能体的自主性,分布性和协作性等优点,构建基于多智能体的机载信息融合决策系统.详细介绍了多智能体技术在该融合决策系统中的应用,重点描述了各智能体的功能,融合决策体系的结构框架,工作机制和软件实现等内容,为信息融合技术的发展开辟了新的方向.     

基于经济学视角的军民融合式投资协调机制

军民融合式投资协调机制是以资金为载体,以计划和政策协调为核心,通过相应的组织形式,对基础设施、公共服务和人才培养等进行统配整合,实现军地资源的整合、建设功能的融合和保障效益的统合,最大限度地提高部队战斗力和社会生产力。在构建机制中,应把整合资源的着眼点放在发展大局上,把统筹协调的基点放在互补共赢上,把融合功能的着重点放在综合效益上,把确保长效的着力点放在完善机制上。     

多平台感知数据融合的被动检测系统研究

电子对抗技术和隐身技术的发展给空、天安全带来日益严重的威胁,全方位获取目标信息的态势感知系统将有利于及时、准确地作出决策以适应现代化战争发展的趋势。本文基于无源雷达和无线传感器网络的发展提出一种面向多平台感知数据融合的被动检测系统,通过贝叶斯网络技术分析监测区域中电磁环境和物理环境的有效数据,用以最大化提升目标检测性能,仿真结果验证了该系统能为防空防天系统的监测、评估和预警提供技术支持。     

用融合理念推动国防交通应急应战一体化建设

国防交通应急应战一体化建设是按照"平战结合、军民融合"理念,以提升国防交通日常管理能力和水平,增强国防交通体系战时应战和急时应急的综合保障能力为根本目标,通过理念融合、机制融合、预案融合、资源融合等途径建设国防交通体系,使之具备"平时服务、急时应急、战时应战"的多重功能,实现国防交通建设军事效益和经济效益双赢的一种新型建设模式。国防交通应急应战一体化建设涉及部门多,协调难度大,存在资源规划与配置不统一、保障信息共享有困难、组织指挥机制不完善、理论研究不系统不深入等难题,亟须加强理论研究,为其又快又好地发展提供理论支撑。     

基于FAST方法的核动力装置非能动系统全局参数敏感性分析

为提高核动力装置非能动系统参数敏感性分析的精度和效率,实现更加精确的非能动系统热工水力行为分析、识别对系统运行有重要影响的因素,因此采用FAST方法以某型非能动余热排出试验系统的热工水力模型作为算例进行了全局参数敏感性分析研究。分析结果表明:电加热功率、冷凝器换热管污垢因子、热阱温度、热阱压力这4个参数对系统行为的影响较为显著,需在系统优化设计、运行管理过程中进行适当改进、监测。     

军民融合产业创新集群的形成

在军民融合发展战略与创新驱动发展战略深入推进进程中,军民融合产业创新集群成为军民融合产业发展的重要创新形式,其形成问题研究更是对其发展与演化具有重要影响。以军民融合产业创新集群的内涵着手,通过刺激—反应模型与演化博弈模型,分析其形成过程与促进措施。研究表明,军民融合产业创新集群作为复杂适应系统,创新主体的适应性能力及其内在关系是集群形成的关键所在;为使合作创新行为成为演化博弈的稳定策略,从合作创新能力系数和合作创新成本、拥有的创新资源以及政府资金支持三个方面剖析集群形成的促进作用,对军民融合产业创新集群的发展与演化研究奠定基础。     

无线传感器网络在海防工程结构健康监测中的应用

海防工程是海军赢得非接触、非对称作战胜利和保存作战潜力的重要硬件基础,将关系到海军作战装备战斗力的发挥,直接影响作战的进程与结局。因此,海防工程结构健康监测系统正成为军内学术界和工程界的研究热点。无线传感器网络由于安装方便、维护成本低和部署灵活等特点,已被广泛应用于各类工程结构健康监测系统中。本文阐述了基于无线传感器网络的海防工程结构健康监测系统提出的背景、基本概念和构成体系,通过模拟部署舰艇洞库结构健康监测系统,协作地实时感知和采集洞库结构信息及环境数据,从而实现海防工程、信息网络和后勤管理的无缝衔接,形成一体化保障能力。     

微波着陆系统天线模拟器的设计与实现

为降低微波着陆系统(MLS)的在线检测与维修成本,改善系统测试的工作环境,增加天线系统使用寿命,基于嵌入式控制系统ARM技术与可编程门阵列FPGA技术设计并实现了一种实用的MLS天线模拟器.该模拟器可产生六付天线射频序列检波信号和环境监测信号,具备环境告警能力.实测结果表明:模拟器产生的天线模拟信号能够满足MLS的系统要求,且与设备主机有很好的兼容性,所有模拟信号均可作为监测信号回传至MLS设备主机,用以保证设备正常工作,为MLS系统检测提供了一种新的平台.     

无线传感器网络在环境监测中的应用

低成本、低功耗、自组网的无线传感器网络近年来得到快速发展.对近年来无线传感器网络在环境监测中的应用进展进行系统综述,对国内外各研究小组的研究成果进行对比和分析,最后对无线传感器网络的发展进行总结和展望.     

对舰用监控系统中复杂多机通讯模式实现方法的研究

结合舰船电力网络绝缘监测装置 ,提出了一种解决舰船监控系统中复杂多机通讯问题的方法 ,对其实现中的关键技术进行了细致的分析 ,并给出了结论 .     

AHP在大型船舶动力系统总体性能分析中的应用研究

针对大型船舶动力系统总体性能各指标重要度排序的问题,提出了一种通过建立层次分析模型以构造二元对比判断矩阵的分析方法,可以将大型船舶总体性能各指标间原本错综复杂的模糊关系相对明确地表示出来,且对各指标的相对重要程度进行了较为准确的排序.并以实例介绍了该方法的应用.     

串联系统预防维修周期优化策略研究(英文)

针对串联系统建立了基于可靠性约束的预防性维修优化模型,该模型充分考虑到预防维修可以提高系统可靠性的同时,其故障率会随着维修次数的增加而上升,引入役龄回退因子对预防维修活动前后系统性能的动态变化进行了描述.通过实例验证了该优化模型的正确性与可用性,对模型作进一步的扩展,还可用于更一般复杂的串并联系统.     

An approach to the allocation of common costs of multi-mission systems

Many Naval systems, as well as other military and civilian systems, generate multiple missions. An outstanding problem in cost analysis is how to allocate the costs of such missions so that their true costs can be determined and resource allocation optimized. This paper presents a simple approach to handling this problem for single systems. The approach is based on the theory of peak-load pricing as developed by Marcel Boiteux. The basic principle is that the long-run marginal cost of a mission must be equal to its “price.” The implication of this is that if missions can cover their own marginal costs, they should also be allocated some of the marginal common costs. The proportion of costs to be allocated is shown to a function of not only the mission-specific marginal costs and the common marginal costs, but also of the “mission price.” Thus, it is shown that measures of effectiveness must be developed for rational cost allocation. The measurement of effectiveness has long been an intractable problem, however. Therefore, several possible means of getting around this problem are presented in the development of the concept of relative mission prices.     

Diagnostic analysis of inventory systems: An optimization approach

The objective of a diagnostic analysis is to provide a measure of performance of an existing system and estimate the benefits of implementing a new one, if necessary. Firms expect diagnostic studies to be done promptly and inexpensively. Consequently, collection and manipulation of large quantities of data are prohibitive. In this paper we explore aggregate optimization models as tools for diagnostic analysis of inventory systems. We concentrate on the dynamic lot size problem with a family of items sharing the same setup, and on the management of perishable items. We provide upper and lower bounds on the total cost to be expected from the implementation of appropriate systems. However, the major thrust of the paper is to illustrate an approach to analyze inventory systems that could be expanded to cover a wide variety of applications. A fundamental by-product of the proposed diagnostic methodology is to identify the characteristics that items should share to be aggregated into a single family.     

A new appointment rule for a single-server,multiple-customer service system

This paper proposes a new appointment rule for the single-server, multiple-customer service system. Unlike previous appointment rules, which perform well only in specific service environments, the new rule can be parameterized to perform well in different service environments. The new appointment rule is presented as a mathematical function of four environmental parameters, namely, the coefficient of variation of the service time, the percentage of customers' no-shows, the number of appointments per service session, and the cost ratio between the server's idle and customers' waiting cost per unit time. Once the values of these environmental parameters are estimated, the new appointment rule can be parameterized to perform well. The results show that new rule performs either as well as or better than existing appointment rules in a wide range of service environments. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 313–326, 1998     

A forward network simplex algorithm for solving multiperiod network flow problems

An optimization model which is frequently used to assist decision makers in the areas of resource scheduling, planning, and distribution is the minimum cost multiperiod network flow problem. This model describes network structure decision-making problems over time. Such problems arise in the areas of production/distribution systems, economic planning, communication systems, material handling systems, traffic systems, railway systems, building evacuation systems, energy systems, as well as in many others. Although existing network solution techniques are efficient, there are still limitations to the size of problems that can be solved. To date, only a few researchers have taken the multiperiod structure into consideration in devising efficient solution methods. Standard network codes are usually used because of their availability and perceived efficiency. In this paper we discuss the development, implementation, and computational testing of a new technique, the forward network simplex method, for solving linear, minimum cost, multiperiod network flow problems. The forward network simplex method is a forward algorithm which exploits the natural decomposition of multiperiod network problems by limiting its pivoting activity. A forward algorithm is an approach to solving dynamic problems by solving successively longer finite subproblems, terminating when a stopping rule can be invoked or a decision horizon found. Such procedures are available for a large number of special structure models. Here we describe the specialization of the forward simplex method of Aronson, Morton, and Thompson to solving multiperiod network network flow problems. Computational results indicate that both the solution time and pivot count are linear in the number of periods. For standard network optimization codes, which do not exploit the multiperiod structure, the pivot count is linear in the number of periods; however, the solution time is quadratic.