上海轨道交通5号线车站建筑设计特色

针对上海轨道交通5号线沿线环境以及轻轨车站的特点,介绍了该工程车站建筑的设计特色,并对设计布置做了多方面的探讨,包括车站功能完善、规模控制、设计方法、建筑造型、结合环境以及投资控制等。     

智能预警在地铁车站设备监控系统中的应用

根据轨道交通监控系统的特点,结合现有轨道交通车站设备监控系统架构,应用智能预警技术,建立新型轨道交通机电设备监控系统,实现设备故障早期预警。讨论多传感器数据融合构成、多级报警方案等问题,并将基于智能多级预警的设备监控系统与现有的监控系统进行比较。     

莫让江水难畅流——我国航道现状及发展透视

我国是一个水运资源丰富的国家,海域广阔,江河湖泊纵横.一般河流水量充沛,多数河流常年不冻.我国内河航道主要分布在长江水系、珠江水系、黑龙江水系、黄河水系、淮河水系、钱塘江水系及海河、闽江和东南沿海各个独自入海的水系.这些水系中的河流,上游发源于高山峡谷,下游流经平原沃野,构成我国内河航运中的主要航道.据统计,我国拥有大小江河5800多条,天然湖泊900多个.河流总长43万多公里,流域面积在1万平方公里的就有80多条,其中航道通航里程为11.65万公里.显然,我国具有得天独厚的发展水路运输的先决条件.那么我国航道的发展状况究竟如何呢?……     

加强安全管理降低PSC滞留率

据今年1月到7月份统计来看,我国船舶被滞留的事件主要发生在亚洲的PSC(港口国检查),占被滞留船舶总数的77.3%,其中又以日本PSC滞留的船舶最多,占被滞留船舶总数的40.9%;其次是PARIS MOU,占总数的18.2%.     

图像处理技术在船舶推进器空泡试验中的应用研究

运用数字图像技术和AutoCAD2000图形软件,探索了处理螺旋桨桨叶上空泡图像的问题,利用桨叶空间曲面网格和桨叶空泡图像对比的方式给出了浆叶上空泡区域的边缘,同时还指出了使这一技术实用化需要作的工作。对于空泡体积这一问题,提出了结构光方式的测量模型,它比已报道的同类方法有较高的操作效率。     

“博远一号”运输船改装设计

军用登陆艇改装为民用运输船,其设计总体改装方案、改装工艺是成功的,值得总结介绍。     

Magnetic field tuning characteristics of bimodal ultrasonic motor stator

The magnetic field tuning characteristics of an ultrasonic motor (USM) stator are discussed. The stator consists of two piezoelectric ceramic transducer (PZT) plates and one sandwiched-in Terfenol-D plate. The dimensions of the stator are carefully adjusted to specifically discuss the influence of the magnetic field on the frequency difference between the longitudinal and bending modes of the stator. The frequency difference discussed in this paper is usually small and mainly caused by uneven materials, machining errors and changes in external conditions (temperature, pre-stress or load). The longitudinal and bending modes of the stator are simultaneously excited by an external electric field to generate the elliptic motion trajectories of the driving points. A direct current (DC) magnetic field is applied to decrease the difference between the two mode frequencies of the fabricated stator. In experiments, the dependences of the two mode frequencies and their difference on DC magnetic fields are all investigated. The experimental results indicate that the difference between the longitudinal and bending mode frequencies of the PZT/Terfenol-D/PZT composite stator can be tuned by changing the intensity of the external DC magnetic field.     

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.     

Design of car battery protection device based on torsion spring

In recent years, electric vehicles are developing rapidly in automotive industry. When involved in accidents, if the batteries of electric cars break, it is likely to cause a short circuit and start a fire. Aimed at this issue, a car battery protection device based on torsion spring has been designed. The car battery protection device can deform in a particular pattern in a collision accident. Impact energy of the accident is absorbed by the deformation, which can significantly reduce impact force on the batteries. Meanwhile, based on the principle of maximum energy absorption, some crucial parameters of the device can be determined. Furthermore, an impact simulation conducted on ANSYS software shows that maximum safety factors can be obtained when the material of car battery protection device is carbon steel. The analysis of “safe space” in the car battery protection device shows that the device can prevent battery damage effectively in general circumstances, which means the reliability of the device has been verified. Therefore, when applied to electric vehicles, the car battery protection device, which can prevent secondary accidents, significantly improves the vehicle security in accidents.