水下无人搜探系统任务载荷使用模式分析

研究水下静止目标探测任务载荷的功能和性能，分析给出基于任务载荷的航行器态势感知自主水平。按照任务载荷是否同时使用、任务载荷探测距离、目标类型和属性、使用人员对航行器（含任务载荷）干预程度，以及人员干预程度和任务组合等几个方面，提出水下无人搜探系统任务载荷使用模式。     

PMSM 磁场定向控制设计

本文通过研究电机的驱动控制原理，建立仿真模型，分析和相应实验说明，本文设计的控制策略可行。同时利用一种新方法寻找电机的初始角度和计算电机转速，实验结果表明该方案在水下航行体中具有启动快和调速性能好。     

轨道交通智能限界检测技术研发及应用

传统的限界检测仪存在检测时间长、安全性低、数据采集效率不高等缺点。本文介绍一种集激光扫描设备、高清影像设备、里程计等多类传感器于一体的轨道小车多传感器动态精密测量装置,阐述基于高清影像数据的轨道断面高精度、高密度数据采集方法,针对不同的应用场景采集不同的空间信息,实现超限位置里程、影像、侵限数据同步记录,并支持数据导出形成数据报告,为提升铁路客运专线的安全性提供技术支持。     

虚拟装配中基于层次包围盒的空间快速验证

[目的]针对现有虚拟装配与维修中可移动空间计算的算法精度、效率较低,甚至缺少算法的问题,结合舰船虚拟装配、维修的实际需求,提出一种能够快速、准确计算零部件在移动空间中碰撞验证的算法。[方法]首先,以层次包围盒与三角面片相交检测算法为基础,改进层次包围盒与三角面片在移动空间中进行变换的方法;然后,根据二分法与递增法求得干涉距离,提出一种空间碰撞验证与空间距离验证的算法;最后,利用CATIA二次开发技术设计并开发空间快速验证模块,验证算法的合理性与准确性。[结果]实例结果表明,在复杂程度不同的2000多个零件模型中,计算空间碰撞的时间在100 ms以内,计算空间距离的时间约为0.5 s。[结论]该算法在舰船设计人员考虑装配与维修空间时可起到较大的辅助作用,能够有效缩短舰船设计周期、生产周期与维护周期。     

磁浮交通道岔位置检测信号冗余设计分析

磁浮交通道岔常采用整梁移动方式改变轨道方向,检测其位置信号的传感器一般使用双行程开关,这些行程开关接点的串并联方式对道岔系统的可靠性有较大影响。文章对5种磁浮交通道岔位置检测信号行程开关连接方案进行分析,探讨不同方案的可靠性和安全性并分析各方案的优缺点,为同类道岔位置检测信号冗余设计提供参考和借鉴。     

浅谈高速公路入口检测系统的功能及构成

介绍了入口超限检测系统的功能及构成,并且对其中部分分项系统进行了功能说明,对超限站的设置方案进行了详细对比分析。     

Structural damage identification by a cross modal energy sensitivity based mode subset selection strategy

This paper presents a strategy specialized for modal energy (ME) based methods, including modal strain energy (MSE) and modal kinetic energy (MKE), to select the best mode subset prior to damage identification. The damages due to the changes in stiffness and mass of structural members are both considered. In order to apply the proposed scheme to a more general situation, the cross modal energy (CME) sensitivity instead of the usual ME sensitivity is derived and designated as a sensitivity index. According to this index, the mode combinations (MCs) that are more sensitive to stiffness and mass changes are retained, while the remaining MCs that complicate the process of damage detection are eliminated. One of the important applications of the proposed mode subset selection strategy (MSSS) is to optimize the Cross-model cross-mode (CMCM) system by eliminating some redundant equations, thereby improving the performance of the CMCM method and reducing the computational burden. Numerical and experimental studies are carried out to prove the effectiveness of the proposed scheme. The results show that the performance of the CMCM method has been significantly improved after adopting the MSSS.     

Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

Currently autonomous or self-driving vehicles are at the heart of academia and industry research because of its multi-faceted advantages that includes improved safety, reduced congestion, lower emissions and greater mobility. Software is the key driving factor underpinning autonomy within which planning algorithms that are responsible for mission-critical decision making hold a significant position. While transporting passengers or goods from a given origin to a given destination, motion planning methods incorporate searching for a path to follow, avoiding obstacles and generating the best trajectory that ensures safety, comfort and efficiency. A range of different planning approaches have been proposed in the literature. The purpose of this paper is to review existing approaches and then compare and contrast different methods employed for the motion planning of autonomous on-road driving that consists of (1) finding a path, (2) searching for the safest manoeuvre and (3) determining the most feasible trajectory. Methods developed by researchers in each of these three levels exhibit varying levels of complexity and performance accuracy. This paper presents a critical evaluation of each of these methods, in terms of their advantages/disadvantages, inherent limitations, feasibility, optimality, handling of obstacles and testing operational environments.Based on a critical review of existing methods, research challenges to address current limitations are identified and future research directions are suggested so as to enhance the performance of planning algorithms at all three levels. Some promising areas of future focus have been identified as the use of vehicular communications (V2V and V2I) and the incorporation of transport engineering aspects in order to improve the look-ahead horizon of current sensing technologies that are essential for planning with the aim of reducing the total cost of driverless vehicles. This critical review on planning techniques presented in this paper, along with the associated discussions on their constraints and limitations, seek to assist researchers in accelerating development in the emerging field of autonomous vehicle research.     

用超声波法检测钢管混凝土质量的研究

对超声波检测钢管混凝土质量的原理及方法进行研究;结合钢管混凝土拱桥的大比例模型试验,探讨了进一步提高用超声法检测和评价钢管混凝土质量准确性的途径和方法,提出了首波声时法检测和评价钢管混凝土的判别方法;将波形识别法和首波频率法与首波声时法相结合,综合判别以提高判别缺陷的类型和严重程度的准确性。研究结果表明,用所提出的方法较单一用首波声时法判别钢管混凝土质量更具有实用性。     

便携式450MHz无线数据传输综合检测设备研制方案

通过对450MHz无线调度命令维护检修工作的研究,提出了一种便于现场检修维护人员使用的综合维护检测设备,有利于快速定位故障范围、排查设备故障,从而可以解决实际工作中检修手段缺乏、检修设备繁杂、检修过程繁琐、检测工作效率低下的问题。