高水水中转比例下的自动化集装箱码头堆场装卸工艺方案比较

近年来,集装箱自动化码头基本形成了典型的堆场装卸工艺方案,即堆场整体垂直码头布置,每个箱区配备2台自动化轨道式场桥(ARMG),分别负责装卸船和陆路外集卡装卸相关作业。但在高水水中转比例的码头,由于船侧装卸箱量高于陆路进出港箱量,该方案存在海陆侧ARMG作业不均衡而影响装卸船效率的缺点。通过分析该方案在高水水中转比例码头的不适应性,梳理国内外现有的解决方案,提出新的针对性方案。通过各方案的综合比较,提出解决思路,为类似自动化码头的设计提供参考。     

基于知识工程的自升式钻井平台方案设计方法

针对目前自升式钻井平台方案设计特点,引入知识工程的理念,建立面向对象的知识表达方法及基于实例和规则的混合推理机制,采用参数化设计方法进行特征驱动,在快速生成设计方案的同时对设计进行检验并提出建议,使设计人员的工作重点从数据处理转移到对设计对象的分析上来.开发了原型系统,证明了该方法的有效性和实用性.     

全自动集装箱码头集中式锁站动态分配与管理方案

针对自动化集装箱码头锁站布置方式及分配策略,在分析解挂锁作业流程及工艺特点的基础上,提出一种集中式锁站动态布置方法,实现锁站与岸桥作业区的空间隔离;考虑前后缓冲区的设置,提出3级缓冲区管理策略,介绍缓冲区布局形式及相应功能;针对装船挂锁及卸船解锁的作业工艺流程,提出相应锁站动态分配策略,根据锁站及缓冲区作业状态将锁站动态分配给运输车辆。与现有锁站分配及管理方法相比,该策略能够均衡各锁站及缓冲区负载,提高自动化码头装卸船作业效率,为自动化集装箱码头锁站分配及管理提供参考。     

Dynamic Obstacle Avoidance for Application of Human-Robot Cooperative Dispensing Medicines

For safety reasons,in the automated dispensing medicines process,robots and humans cooperate to accomplish the task of drug sorting and distribution.In this dynamic unstructured environment,such as a human-robot collaboration scenario,the safety of human,robot,and equipment in the environment is paramount.In this work,a practical and effective robot motion planning method is proposed for dynamic unstructured environments.To figure out the problems of blind zones of single depth sensor and dynamic obstacle avoidance,we first propose a method for establishing offline mapping and online fusion of multi-sensor depth images and 3D grids of the robot workspace,which is used to determine the occupation states of the 3D grids occluded by robots and obstacles and to conduct real-time estimation of the minimum distance between the robot and obstacles.Then,based on the reactive control method,the attractive and repulsive forces are calculated and transformed into robot joint velocities to avoid obstacles in real time.Finally,the robot's dynamic obstacle avoidance ability is evaluated on an experimental platform with a UR5 robot and two KinectV2 RGB-D sensors,and the effectiveness of the proposed method is verified.     

一种燃气轮机状态监测和故障诊断专家系统的研究

介绍了一种燃气轮机状态监测和故障和故障诊断专家系统。提出了产生式规则和框架相结合的知识表示方法；合理地组织了知识库，并提供了较完善的知识库管理功能；实现了该诊断问题中故障严重程度和可信度两种模糊概念的推理；建造了适合本问题的正、反向混合推理机。     

Smarter and more connected: Future intelligent transportation system

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment and big data have made it easier and cheaper to collect, store, analyze, use, and disseminate multi-source data. The connected environment also introduces new approaches to flexible control and management of transportation systems in real time to improve overall system performance. Given the benefits of a connected environment, it is crucial that we understand how the current intelligent transportation system could be adapted to the connected environment.     

沥青自动灌缝机的研制现状

概述了沥青自动灌缝机的基本结构特点,重点分析了纵向和横向两类国外自动灌缝机的技术发展概况,对国内引进与开发起到一定的指导作用.     

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首先选用较多的交通参数,设计提出了基于聚类方法的细粒度交通模式划分算法,将交通模式划分为较多的类别。结合实际数据,进行了实验,在四个路段参数的基础上,划分得到了十类交通模式。这其中都用到了模糊集合划分和定性推理。使用状态核确定一系列模式,随后系统状态被划分成若干个模式。提出了模式转移方程来描述在定性推理基础之上的状态转移,并从模式转移的角度进一步研究了系统的稳定性。一个城市交通系统的应用实例显示了本文提出方法的有效性,可以看出细粒度交通模式划分要比粗粒度有更多的优势,同时得出了聚类算法在细粒度交通模式划分中的劣势。     

Urban travel time reliability at different traffic conditions

The decision making of travelers for route choice and departure time choice depends on the expected travel time and its reliability. A common understanding of reliability is that it is related to several statistical properties of the travel time distribution, especially to the standard deviation of the travel time and also to the skewness. For an important corridor in Changsha (P.R. China) the travel time reliability has been evaluated and a linear model is proposed for the relationship between travel time, standard deviation, skewness, and some other traffic characteristics. Statistical analysis is done for both simulation data from a delay distribution model and for real life data from automated number plate recognition (ANPR) cameras. ANPR data give unbiased travel time data, which is more representative than probe vehicles. The relationship between the mean travel time and its standard deviation is verified with an analytical model for travel time distributions as well as with the ANPR travel times. Average travel time and the standard deviation are linearly correlated for single links as well as corridors. Other influence factors are related to skewness and travel time standard deviations, such as vehicle density and degree of saturation. Skewness appears to be less well to explain from traffic characteristics than the standard deviation is.     

数字信号接地电阻的自动监测技术的探讨

针对我国目前舰用数字信号接地系统的现状，提出了数字信号接地电阻的自动监测技术，并给出了信号接地电阻的自动监测系统的原理框图、软件流程图及其硬件组成。