韩江上游(梅江、汀江)航道整治工程试验研究

韩江上游梅江蓬辣滩、汀江青溪两日调节枢纽坝下游河道,由于电站无基流下泄,只能利用发电流量通航。该河段来水来沙条件复杂,为达到V(3)航道,因而需通过定床物理模型试验进行航道整治研究。利用恒定流验证非恒定流的方法,对模型进行了验证。然后,针对特殊来流条件下碍航特点提出整治方案,研究表明工程效果良好,且长河段全线挖槽和筑坝对水位的影响很少。这一研究为类似枢纽坝下通航提供参考。     

基于PLC/PPU的网络型船舶电站控制技术研究

文章针对新型船舶电站的管理需要,提出了以发电机组启动、合闸、解列、停机为主线剖析某电站底层控制网络(PLC/PPU网络)的控制技术,讨论了PLC/PPU网络中的设备PLC、PPU的控制技术及整个网络的运行机制,对船舶轮机、电气管理人员有一定的参考意义。     

无棱镜全站仪在公路边坡治理中的应用研究

结合山西省沿黄扶贫旅游公路(兴县境罗峪口镇—兴县—临县界段)边坡灾害的特点,通过研究无棱镜全站仪的测量精度和适用范围,探讨无棱镜全站仪在类似条件下公路边坡灾害治理中的应用。     

上海铁路南站南广场地下工程暖通设计

上海铁路南站南广场位于上海市沪闵路、石龙路及桂林南路之间围合区域中站屋的南侧部分,是整个南站工程的重要组成部分。工程以南站主站屋为园弧型地下大型综合建筑。建筑面积5.1万平方米,属特大型地下建筑。工程地下一层设有商场、社会通道、电信等控制中心、配电间等;地下二层设有停车库、商场、仓库、餐厅、柴油发电机房、空调冷热源机房、隔油气房、社会走道、雨水泵站等,设有空调、通风、制冷、防排烟系统。由于工程综合性强,又处于地下,选用执行规范严格。该文重点对地下空间开发暖通设计系统及经济效益分析予以阐述,可供参考。     

陇南公交枢纽总站工程总体方案研究

陇南公交枢纽总站工程地处甘肃省陇南市武都区东江新区,属于灾后恢复重建中央基金项目,是陇南市灾后重建工作全面开展的重要组成部分。该文介绍了陇南公交枢纽总站方案研究过程中涉及到的技术标准,发展预测、建设规模、总图布置、设计流程等,以供相关专业人员参考交流。     

锦屏电站引水隧洞12.43m大直径TBM组装洞室设计与施工

据地质条件和TBM的形式、安装方式及采用的吊装设备, 以及刀盘直径、TBM组件尺寸等因素, 在充分考虑扩大洞室的功能特性、施工方法、衬砌结构等的组装、始发需要, 并考虑TBM主机大件的摆放、部件转运所需的卸车区域等设计洞室的断面、长度、支护形式、衬砌结构、桥吊运行基础等,就施工过程提出有力的措施,以保证施工质量、安全与速度。上述设计方案与施工措施,为确保大直径TBM洞内顺利组装奠定了基础。     

破碎围岩偏压隧道合理施工方法研究

破碎围岩段偏压隧道施工时,较多采用双侧壁导坑法,预留核心土对在开挖过程中隧道的围岩变形和支护受力有很大影响,对隧道围岩稳定性起着至关重要的作用.针对重庆境内的某浅埋偏压隧道在施工中的合理工法和安全性保证问题,系统比较分析了上下台阶法施工和预留核心土施工对隧道围岩的应力场、位移场、塑性区和支护结构内力影响.通过计算结果表明,预留核心土施工具有明显的优点,其不但减小了隧道围岩的净空位移,控制了塑性区的发展,而且改善了支护结构的受力,使其更加趋于均匀合理.研究成果与现场施工实际相吻合,为偏压破碎围岩隧道开挖实践提供了理论分析依据.     

重庆门坎滩水电站泄流能力及消能结构试验研究

针对门坎滩水电站设计方案的泄流能力和消能效果等方面进行了模型试验,结果表明原设计方案存在溢流坝泄流过于集中以及消能效果差、容易形成坝下冲刷等问题。通过采用宽尾墩结构和修改消力池及闸孔边墩布置方式对原方案进行优化设计,其模型试验结果分析表明,优化方案泄洪能力、消能效果均满足工程要求。     

Sensor fusion-based lane detection for LKS+ACC system

This paper discusses the market trends and advantages of a safety system integrating LKS (Lane Keeping System) and ACC (Adaptive Cruise Control), referred to as the LKS+ACC system, and proposes a method utilizing the range data from ACC for the sake of lane detection. The overall structure of lane detection is the same as the conventional method using monocular vision: EDF (Edge Distribution Function)-based initialization, sub-ROI (Region Of Interest) for left/right and distance-based layers, steerable filter-based feature extraction, and model fitting in each sub-ROI. The proposed method adds only the system for confining lane detection ROI to free space that is established by range data. Experimental results indicate that such a simple adaptive ROI can overcome occlusion of lane markings and disturbance of neighboring vehicles.     

Effect of drowsiness on driving performance variables of commercial vehicle drivers

Driver drowsiness is a major safety concern, especially among commercial vehicle drivers, and is responsible for thousands of accidents and numerous fatalities every year. The design of a drowsiness detection system is based on identifying suitable driver-related and/or vehicle-related variables that are correlated to the driver’s level of drowsiness. Among different candidates, vehicle control variables seem to be more promising since they are unobtrusive, easy to implement, and cost effective. This paper focuses on in-depth analysis of different driver-vehicle control variables, e.g., steering angle, lane keeping, etc. that are correlated with the level of drowsiness. The goal is to find relationships and to characterize the effect of a driver’s drowsiness on measurable vehicle or driving variables and set up a framework for developing a drowsiness detection system. Several commercial drivers were tested in a simulated environment and different variables were recorded. This study shows that drowsiness has a major impact on lane keeping and steering control behavior. The correlation of the number and type of accidents with the level of drowsiness was also examined. Significant patterns in lateral position variations and steering corrections were observed, and two phases of drowsiness-related degradation in steering control were identified. The two steering degradation phases examined are suitable features for use in drowsiness detection systems.