某型雷达BIT的设计与实现

机内自动检测(BIT)电路是实现雷达工作状态自动监测,提高可维修性的硬件设备。从分析某型雷达的电路特点入手,介绍了该雷达的一种BIT设计与实现的方法,具体说明了BIT电路实现的目的、输入电路设计、A/D变换器参数的选择、电路的设计方法,数据处理的方法和软件的实现。     

基于并发式检测时序的几何级冲突检测策略研究

以三维CAD实时协同设计为背景,深入研究了实时协同设计中的数据冲突检测问题,提出了三维实时协同设计中的数据冲突本质上就是实体特征冲突的思想。在此基础上,探讨了基于特征的冲突检测方法,并针对其不足之处,提出了一种可行性较高的几何级冲突检测策略及其相应的检测时序方案,研究了其冲突检测数据结构、冲突检测规则。此冲突检测思想在PTC公司的Pro/Engineer平台上进行了算法验证,取得了较好的冲突检测效果。     

载荷分布对六自由度运动平台动力学性能的影响

用Newton-Euler方法,分析了运动平台的力矢和力矩,建立了统一的六自由度运动平台动力学方程。利用该方程研究了不同载荷分布时六自由度运动平台各液压缸的受力情况,并用Matlab进行了计算。结果表明,不同载荷分布时,某些液压缸的驱动力的最大值成倍增加,变化极为复杂,为六自由度运动平台的设计及控制提供了理论指导。     

卫星导航系统功率增强子星座优化设计与性能分析

卫星功率增强技术是提高区域导航信号抗干扰性能的一种有效措施,在卫星导航全星座中优选出卫星数量少、服务性能优的功率增强子星座,是新一代卫星导航系统建设迫切需要解决的问题。因此提出基于卫星数最少准则的功率增强子星座优化设计方法,详细介绍设计流程、数学模型及最优解搜索策略;定义了可用性水平、精度水平和覆盖范围等指标评估功率增强子星座性能;以GPS为例,分别针对覆盖点目标和区域目标两种应用背景进行功率增强子星座优化设计及性能评估。分析结果表明:全球范围内任意目标点进行功率增强需要12～17颗卫星;实现对我国沿海地区的连续覆盖需要18颗功率增强卫星;覆盖整个亚太地区则需要全星座24颗卫星都具备功率增强能力,这样才能满足其连续性和精度要求,此时最优功率增强子星座的服务范围可扩充至全球区域。     

【专题】基于深度学习及FPGA的装备目标检测研究

本文应用深度学习技术实现海天背景下基于可见光、红外方式成像的舰船及角反、烟幕干扰的目标检测,这也是反舰导弹作战使用的关键技术之一。采集的可见光与红外成像目标检测数据集涵盖实施典型干扰下的态势场景,贴近实战;结合四种不同的目标检测机制,选取YOLOV3、Faster R-CNN、SSD及CenterNet四种典型模型分别进行训练与验证,通过对比分析进一步提高弱小目标、复杂干扰态势的的检测,可以实现端到端的高精度装备目标检测模型。在确保精度的前提下基于现场可编程门阵列（FPGA）进行软硬件协同设计,通过对比分析选定基于Vitis AI的实施方案,经过模型的量化、编译与优化,可在保证检测效率的前提下快速实现模型的小型化部署,便于进行装备移植。研究结果表明,该研究内容可有效提高现役反舰导弹目标检测的准确率。     

面向航天装备大数据的知识图谱体系

近年来,航天装备大数据平台建设已经取得了长足进步。然而,航天装备数据深层次价值仍然未被有效发掘,关键原因在于现有大数据业务数据存在无法跨专业贯通、缺乏全局数据资源智能分析及管理。知识图谱技术作为大数据时代的推理和分析利器,与航天装备大数据完成无缝对接具有天然的优势和内在动机。本文从研究面向航天装备数据知识图谱的/组织管理、关联分析、数据挖掘、知识可视化等开放式共享服务出发,通过大数据、人工智能方法挖掘航天数据的应用潜力,并引入数据化决策模型和监控体系,建立航天装备数据全息画像,实现业务数据的跨业务贯通,并提供网格化的高速检索,以求通过提升数据管理的规范化、标准化、精益化水平指导航天装备的优化和升级。     

Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm

A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design. This paper proposes a Color Image Quick Fuzzy C-Means (CIQFCM) clustering algorithm based on clustering spatial mapping. First, the clustering sample space was mapped from the image pixels to the quantized color space, and several methods were adopted to compress the amount of clustering samples. Then, an improved pedigree clustering algorithm was applied to obtain the initial class centers. Finally, CIQFCM clustering algorithm was used for quick extraction of dominant colors of background image. After theoretical analysis of the effect and efficiency of the CIQFCM algorithm, several experiments were carried out to discuss the selection of proper quantization intervals and to verify the effect and efficiency of the CIQFCM algorithm. The results indicated that the value of quantization intervals should be set to 4, and the proposed algorithm could improve the clustering efficiency while maintaining the clustering effect. In addition, as the image size increased from 128 × 128 to 1024 × 1024, the efficiency improvement of CIQFCM algorithm was increased from 6.44 times to 36.42 times, which demonstrated the significant advantage of CIQFCM algorithm in dominant colors extraction of large-size images.     

Dynamic impact protective body armour: A comprehensive appraisal on panel engineering design and its prospective materials

Personal body armour is one of the most important pieces of equipment to protect human beings from various critical and fatal injuries. In today’s modern world, various organizations including law enforcement and security service have made it mandatory for their personnel to wear personal protection system while on field duty. However, the systems should comprise an improved ballistic performance, light-weighted, flexible as well as comfortable panel not only to be accepted with a wider range but also for effective performances of the consumer. Generally, the overall performances of the protective body armour could be affected by various parameters including armour design techniques, type of materials used and finishing of the panels. The current paper aims to critically review state-of-art for armour panel design techniques and the different perspective body armour materials. The paper starts by discussing the different body armour and its category. Later, the different states of technology for armour panel design (mostly for women), its problems and the possible solutions will be cited. Later, the commonly used different polymeric fibrous and the future possible advanced materials including carbon nanotube (CNT), Graphene CNT and shear thickening fluids (STFs) treated materials for developing the reinforced body armour panel will be discussed. The authors believe that this paper will enlighten useful guidelines and procedures about the different panel design techniques and current and promising future materials for researchers, designers, engineers and manufacturers working on the impact resistance body armour field.     

Interval uncertain optimization for damping fluctuation of asegmented electromagnetic buffer under intensive impact load

Aiming at the problems of demagnetization effect of electromagnetic buffer (EMB) caused by high ve-locity under intensive impact load and the difficulty and error of machining composite thin-walled long tube, a segmented EMB is proposed. The inner tube and air-gap are divided into initial segments and the traversing segments. Through theoretical analysis, impact test and simulation, it can be found that the RRF curve has two peaks. Firstly, in order to reduce the resultant resistance force (RRF) peaks, the sensitivity analysis based on optimal Latin hypercube design (OLHD) and polynomial regression was performed. The results show that the smallest contribution ratio to the dynamic response is the seventh and ninth segments of the inner tube, which are less than 1％. Then, fully considering the uncertain factors, important parameters are selected for uncertain optimization after sensitivity analysis. The in-terval order and interval probability degree methods are used to establish interval uncertain optimiza-tion model of the RRF considering robustness. The model was solved using an interval nested optimization method based on radial basis function (RBF) neural network. Finally, the Pareto front is obtained and numerical simulation is performed to verify the optimal value. It indicates that the two kinds of RRF peak is obviously reduced, and the optimization object and strategy are effective.     

建筑火灾防控一体化系统设计初探

介绍了建筑火灾防控一体化系统设计和数据分析的研究背景、意义和现状,明确了该系统的设计目标,进行了可行性分析,提出了系统的架构;对系统进行了详细的需求分析,包括用户角色需求、系统功能要求、系统数据要求和系统性能需求;采用面向对象分析和设计方法,对该系统进行了功能设计并进行了数据库设计,给出了数据库设计的E-R图;结合系统应用进行了总结和展望。