船用柴油机模块化监控系统及其应用

结合某出口船舶主动力装置监控系统,阐述了模块化技术在系统的结构布置,软件硬件配置上的应用特点。     

燃气轮机监测系统的建模与实现

以从法国引进的ＭＳ６００１燃气轮机发电机组为研究对象,针对它开发了一套以燃气轮机循环计算、压气机和涡轮特性计算及燃气轮机变工况计算为基础的工况监测显示系统软件。该软件的开发有利于提高燃气轮机系统运行的管理水平,为全面实现燃气轮机机组的智能监测和诊断打下坚实的基础。     

船舶柴油机数字式调速器仿真系统设计

文章以DGS8800e数字式调速器作为仿真对象,对调速器仿真系统的结构组成、调节器、执行器、监控系统以及监控面板进行了仿真设计。该系统界面友好、工作可靠且具有面向训练的功能特征,可以满足教学及海员适任证书培训评估的需要。     

偏压隧道处治措施及稳定性分析

以上瑞高速公路怀新段第8合同段青山冲隧道为工程实例,针对左线出口端洞口浅埋偏压情况,为了节约工程投资,实施了反压回填的处治方案,采用数值模拟分析及现场监控量测数据分析了偏压隧道支护结构的受力状态和稳定性,可供类似工程参考。     

站间计轴设备在线监测系统

通过监测并记录站间计轴设备的主要运行状态,能够实现对计轴设备实时监测,方便日常维护,预防计轴设备故障的发生,降低设备故障延时。详细论述了站间计轴设备在线监测系统的结构与功能,有很高的推广使用价值。     

ZPW-2000A监测子系统

根据实际应用的情况,介绍了ZPW-2000A监测子系统的结构和技术特点,并重点介绍采集设备的采集内容和采集处理器的功能.     

无线调车机车信号和监控系统(STP)在大准线的应用与管理

简要介绍STP系统的原理,就STP系统在大准铁路公司中应用遇到的几个问题进行分析,并给出解决方案;同时介绍大准铁路公司对STP设备的管理。     

浅谈辽宁省高速公路联网监控系统改造规划

对辽宁省高速公路联网监控系统改道规划进行了详细论述。     

客运专线铁路隧道高陡坡洞口开裂整治技术研究

以宝兰客运专线塔稍村隧道为依托,分析隧道进口边坡及洞内裂缝的成因,评价边坡的稳定性,并提出具体的处理措施。对该隧道地层岩性、构造属性、围岩等级等进行阐述,针对该边坡建立系统的地表及洞内变形监测网并进行钻孔内位移测量工作,结合详细的地质调查,查明隧道进口处边坡、洞口挡墙、隧道内二衬裂缝的成因和基本特征,结合区段的工程地质特征,提出合理的工程处理措施,为类似工程的调查与处理提供参考。     

Real time detection of driver attention: Emerging solutions based on robust iconic classifiers and dictionary of poses

Real time monitoring of driver attention by computer vision techniques is a key issue in the development of advanced driver assistance systems. While past work mostly focused on structured feature-based approaches, characterized by high computational requirements, emerging technologies based on iconic classifiers recently proved to be good candidates for the implementation of accurate and real-time solutions, characterized by simplicity and automatic fast training stages.In this work the combined use of binary classifiers and iconic data reduction, based on Sanger neural networks, is proposed, detailing critical aspects related to the application of this approach to the specific problem of driving assistance. In particular it is investigated the possibility of a simplified learning stage, based on a small dictionary of poses, that makes the system almost independent from the actual user.On-board experiments demonstrate the effectiveness of the approach, even in case of noise and adverse light conditions. Moreover the system proved unexpected robustness to various categories of users, including people with beard and eyeglasses. Temporal integration of classification results, together with a partial distinction among visual distraction and fatigue effects, make the proposed technology an excellent candidate for the exploration of adaptive and user-centered applications in the automotive field.