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。     

油船污油水舱设置小议

MARPOL73/78公约附则Ⅰ规定:150总吨及以上油船应设有污油水舱、排油监控系统、油水界面探测器,将油类留存于船上,如符合一定条件,可予以免除.现有油船,可指定任一货油舱作为污油水舱.污油水舱总容积应不小于船舶载油量的3%,如有其它适当设备或布置,总容量可进一步减少.     

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。     

圆钢管H型钢再生混凝土短柱的轴压承载力分析

为了研究圆钢管H型钢再生混凝土短柱轴压力学性能,对此类构件轴压承载力计算公式进行了理论推导,基于极限分析法,运用双剪统一强度理论,并依据H型钢和钢管对核心区再生混凝土约束效果的不同,分别计算H型钢约束区再生混凝土和钢管约束区再生混凝土承载力,提出一套圆钢管H型钢再生混凝土短柱轴压承载力计算公式,考虑了钢管内径厚比、套箍系数、H型钢配钢指标以及再生粗骨料取代率对短柱轴压承载力的影响, 同时也适用于无H型钢的圆钢管再生混凝土短柱轴压承载力计算. 将推导得到的钢管有效约束力代入承载力计算公式所得结果与相关试验结果对比误差在10%以内,吻合较好,验证了承载力计算公式的有效性和精确度.      

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。     

感应加热电源并联控制系统的通信设计与实现

基于西门子S7-200 SMART PLC和DSP处理器,设计了感应加热电源并联控制系统,建立了DSP和PLC之间、PLC与触摸屏HMI之间的通信协议并编写程序,实现了DSP与PLC之间的数据传输。实际应用表明:该系统通信效果良好,具有较强的实用价值。     

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.