GPS RTK技术在海上钻探三维(坐标)定位方法上的应用

在长江口整治工程的勘察中,利用GPS RTK技术进行三维坐标定位,文中介绍这种方法的原理、实施过程以及数据分析和比较。     

Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Approximate method for reliability assessment of complex phased mission systems

Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.     

突发大规模需求下铁路军事运输保障研究

以"5·12"汶川地震为背景,分析了突发大规模需求下铁路军事运输保障的特点及要求,提出了应急铁路军事运输保障的具体对策,如建立健全铁路军事运输指挥机制、制订输送保障运行计划等,对铁路军事运输部门提高突发大规模需求情况下的运输保障能力具有借鉴意义.     

基于统计和有限元分析的裂纹敏感区确定方法

港口机械正在向大型、高速、重载方向发展,其金属结构的质量越来越大,它的缺陷会给机械工作带来隐患,而且一旦出现断臂等重大事故,将造成巨大危害[1].     

Neumann边界条件下图像复原的TSVD算法

研究了在Neumann边界条件假设下,一类具有对称点扩散函数的模糊图像复原问题,将此类问题转化为不适定的二维离散卷积问题,基于离散卷积算子的性质,提出了图像复原的TSVD算法.实验验证了算法的有效性.     

柬埔寨金边市Norea矮塔斜拉桥总体设计

柬埔寨金边市 Norea 大桥主桥为 (108+180+108) m 双塔单索面混凝土矮塔斜拉桥, 是柬埔寨最大跨径的矮塔斜拉桥。 主桥采用塔梁固结的结构体系、 墩梁采用支座连接。 项目位于金边市湄公河岸开发区, 考虑城市景观需要采用高塔型矮塔斜拉桥, 高塔型矮塔斜拉桥兼具斜拉桥的美观性和矮塔斜拉桥的经济性及施工便利性^{[1 ~ 3]} 。 索塔塔冠为高棉建筑风格^{[4 ~ 5]}的尖型拱顶造型, 塔身也配以高棉建筑风格雕刻。 斜拉索采用扇形单索面布置, 塔顶通过分丝管贯穿而过, 梁端对称锚于主梁中腹板顶部。 为节省结构高度保证通航净空并便于施工, 通航孔上方的主梁跨中段采用等截面设计。     

基于计算机自动控制技术的多探头测深系统研制与改造

通过加装控制盒的方式,实现单探头测深仪与自动控制探头之间的流畅切换,将传统单探头测深仪改造成具有多探头功能的高效水下测量仪器系统,主要用于航道和码头基床等的水下扫测。利用该系统进行的码头基床扫测已经取得成功,可为同类测量设备的改造提供全新的思路。     

关于漏解问题的探讨

“N 1”改造后,有关出发进路末端道岔区段漏解锁问题的探讨。     

DGPS自主车辆定位及多功能处理软件研制

本文论述了车载GPS自动车辆定位（AVL）的有关研究与试验，着重分析了车辆定位的方法与定位的准确度问题，并利用作者自行开发的处理软件进行处理，证明了基于DGPS的AVL的可行性，取得了满意的结果。