乌龙江大桥无覆盖层河床的钻孔平台设计

介绍在水深流急、潮位变化大、无覆盖层的深水中的基础施工平台设计,平台的稳定、精确定位、安全渡汛抗台是平台设计和施工的关键因素。     

汽车电子制动系统的研究初探

介绍了汽车电子制动系统的发展背景及现状,分析了电子制动系统的原理、结构及开发的关键技术,初步提出了该系统原理样机模块化设计的思路,展望了其发展前景。     

地铁十字换乘车站预留换乘节点的结构计算分析

十字换乘地铁车站预留换乘节点的结构受力复杂,采用有限元程序建立空间计算模型,分析预留换乘车站节点范围的梁、板、柱内力,找到应力集中部位,为设计提供理论依据,保证车站结构的安全。     

集装箱码头装船系统及其应用

近十年来全球化的集装箱运输有了突飞猛进的发展,随着集装箱船舶的大型化、高速化,港口操作箱量不断增长,如何尽可能以低成本提高码头的生产装卸效率是目前许多港口企业正在探讨的经营战略方向.     

国家宏观调控与港口的发展

通过对中国港口现状的分析,阐述了国家宏观调控与港口发展的关系。着眼于国家宏观调控对港口发展的重要影响作用,提出了中国港口未来发展的动态模式。     

作业队生产形式的实践与建议

作业队生产形式是适应集装箱运输的专业化需求而产生的.1990年厦门港集装箱公司开始启用该作业形式,为厦门的集装箱运输业发展起到积极的推动作用.作业队生产装卸工艺灵活、机动的特性是适用于中型集装箱码头的生产形式.随着集装箱码头大型化的发展趋势,生产装卸流程日益规范化,本文旨在对该系统进行分析,扬长避短,希望能对集装箱码头企业的生产管理起到一定的作用.     

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。     

基于Agent的变电站通信研究

多智能体(Agent)系统能有效解决分布式问题,电力系统属于分布式结构。文章以智能变电站为研究对象,将Agent技术与IEC 61850标准相结合,分析了Agent技术解决IEC 61850通信时可能的通信对象冲突问题。将IED设备作为Agent,在相同局域网内通过实现多Agent自治算法协调系统,设置消息过滤和创建轮询Agent,来避免通信的混乱;在不同局域网间依靠TCP/IP协议传输消息,解决了变电站复杂的分布式通信问题。     

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.