Fuzzy recognition of missile borne multi-line array infrared detection based on size calculating

In order to improve the infrared detection and discrimination ability of the smart munition to the dy-namic armor target under the complex background, the multi-line array infrared detection system is established based on the combination of the single unit infrared detector. The surface dimension features of ground armored targets are identified by size calculating solution algorithm. The signal response value and the value of size calculating are identified by the method of fuzzy recognition to make the fuzzy classification judgment for armored target. According to the characteristics of the target signal, a custom threshold de-noising function is proposed to solve the problem of signal preprocessing. The multi-line array infrared detection can complete the scanning detection in a large area in a short time with the characteristics of smart munition in the steady-state scanning stage. The method solves the disadvan-tages of wide scanning interval and low detection probability of single unit infrared detection. By reducing the scanning interval, the number of random rendezvous in the infrared feature area of the upper surface is increased, the accuracy of the size calculating is guaranteed. The experiments results show that in the fuzzy recognition method, the size calculating is introduced as the feature operator, which can improve the recognition ability of the ground armor target with different shape size.     

直升机武器系统误差分析

武装直升机凭借其火力强、隐蔽性好、机动性强、贴地飞行等优点,成为现代战争中对地攻击的主要作战平台.从直升机固有特点出发,对影响直升机武器系统的误差因素进行分析,对直升机武器系统误差进行理论分析并构建误差分析方程.对直升机载激光制导空地导弹导引头能力进行建模,并结合直升机武器系统误差进行仿真计算,验证直升机平台武器系统误差是否满足导弹的使用要求.     

基于机动识别的多级组合滤波器设计

针对机动目标滤波问题,利用基础的琢-茁滤波算法,建立了基于机动识别的多级组合琢-茁滤波算法.从工程可实现角度出发,重点阐述了组合滤波器的机动识别算法、野值剔除算法、机动识别与野值剔除启动算法,以及多级滤波器的切换规则.仿真结果验证了组合滤波算法的有效性.     

An interface shear damage model of chromium coating/steel substrate under thermal erosion load

The Cr-plated coating inside a gun barrel can effectively improve the barrel's erosion resistance and thus increase the service life.However,due to the cyclic thermal load caused by high-temperature gun-powder,micro-element damage tends to occur within the Cr coating/steel substrate interface,leading to a gradual deterioration in macro-mechanical properties for the material in the related region.In order to mimic this cyclic thermal load and,thereby,study the thermal erosion behavior of the Cr coating on the barrel's inner wall,a laser emitter is utilized in the current study.With the help of in-situ tensile test and finite element simulation results,a shear stress distribution law of the Cr coating/steel substrate and a change law of the interface ultimate shear strength are identified.Studies have shown that the Cr coating/steel substrate interface's ultimate shear strength has a significant weakening effect due to increasing temperature.In this study,the interfacial ultimate shear strength decreases from 2.57 GPa(no erosion)to 1.02 GPa(laser power is 160 W).The data from this experiment is employed to establish a Cr coating/steel substrate interface shear damage model.And this model is used to predict the flaking process of Cr coating by finite element method.The simulation results show that the increase of coating crack spacing and coating thickness will increase the service life of gun barrel.     

Visual SLAM in dynamic environments based on object detection

A great number of visual simultaneous localization and mapping (VSLAM) systems need to assume static features in the environment. However, moving objects can vastly impair the performance of a VSLAM system which relies on the static-world assumption. To cope with this challenging topic, a real-time and robust VSLAM system based on ORB-SLAM2 for dynamic environments was proposed. To reduce the influence of dynamic content, we incorporate the deep-learning-based object detection method in the visual odometry, then the dynamic object probability model is added to raise the efficiency of object detection deep neural network and enhance the real-time performance of our system. Experiment with both on the TUM and KITTI benchmark dataset, as well as in a real-world environment, the results clarify that our method can significantly reduce the tracking error or drift, enhance the robustness, accuracy and stability of the VSLAM system in dynamic scenes.     

基于电流变液的火炮反后坐技术研究

根据火炮反后坐装置的技术特点和电流变液的力学性能,从理论上分析了电流变液技术用于火炮反后坐装置的可行性,设计了简易电流变液驻退装置的结构和控制策略,并对关键的技术问题进行了探讨。     

基于模糊均值聚类算法的图像分割

将图像直方图统计特性引入到FCM聚类算法的目标函数中,用混合粒子群优化算法对目标函数进行全局最优求解,提高了图像分割的运算速度。     

装备表面现代维修保养技术研究

结合装备表面智能维修保养技术方面的研究成果,介绍了装甲装备故障智能检测技术、自适应、自修复功能材料,装甲装备器材全自动保养设备等先进技术,侧重装备维修保养阐述了如何提高信息化程度,推进军队武器装备维修保养技术的现代化建设。     

基于PLC的油泵车检测调控系统研究

油泵车作为管线系统重要的供油装备,具有牵一发而动全身的地位,为了保持管线系统稳定的工况和为下游泵站提供足够流量和进口压力,文中利用参数检测及报警系统、动力结合互锁系统、安全保护系统、嵌入式工况记录及数字化接口系统等信息化技术,使油泵车在不断提高自身作业能力、环境适应能力等机械性能与管线系统性能配套的同时,提高了其智能化水平和作业效率。     

防锈剂对两栖装甲装备溶剂型防锈油抗盐雾性能的影响

为优选出适用于两栖装甲装备溶剂型防锈油的防锈剂,先后进行了防锈剂的单因素试验和正交试验。通过盐雾试验,考察了几种防锈剂及其复合防锈剂的抗盐雾性能。结果发现,由质量分数为6%的羊毛脂镁皂、10%的石油磺酸钡、2%的二壬基萘磺酸钡和5%的N-油酰基氨酸十八胺组成的复合防锈剂具有优异的抗盐雾性能。