厦深铁路长沙湾特大桥深水基础施工技术研究

铁路桥梁深水基础施工受水文、地质、气象、环境等因素影响较大,施工难度相应较高,投入的机械设备较多,施工工艺较陆地施工更为复杂。然而,随着止水支撑维护结构刚度、稳定性的不断增加及计算机模拟技术的迅猛发展,使得进一步优化深水基础施工设计方案成为了可能,且达到了缩短建设工期、降低工程造价目的。结合厦深铁路长沙湾特大桥70号墩承台施工,对钢板桩围堰的受力进行了详细的计算,可为类似的工程提供参考。     

From Twitter to detector: Real-time traffic incident detection using social media data

The effectiveness of traditional incident detection is often limited by sparse sensor coverage, and reporting incidents to emergency response systems is labor-intensive. We propose to mine tweet texts to extract incident information on both highways and arterials as an efficient and cost-effective alternative to existing data sources. This paper presents a methodology to crawl, process and filter tweets that are accessible by the public for free. Tweets are acquired from Twitter using the REST API in real time. The process of adaptive data acquisition establishes a dictionary of important keywords and their combinations that can imply traffic incidents (TI). A tweet is then mapped into a high dimensional binary vector in a feature space formed by the dictionary, and classified into either TI related or not. All the TI tweets are then geocoded to determine their locations, and further classified into one of the five incident categories.We apply the methodology in two regions, the Pittsburgh and Philadelphia Metropolitan Areas. Overall, mining tweets holds great potentials to complement existing traffic incident data in a very cheap way. A small sample of tweets acquired from the Twitter API cover most of the incidents reported in the existing data set, and additional incidents can be identified through analyzing tweets text. Twitter also provides ample additional information with a reasonable coverage on arterials. A tweet that is related to TI and geocodable accounts for approximately 5% of all the acquired tweets. Of those geocodable TI tweets, 60–70% are posted by influential users (IU), namely public Twitter accounts mostly owned by public agencies and media, while the rest is contributed by individual users. There is more incident information provided by Twitter on weekends than on weekdays. Within the same day, both individuals and IUs tend to report incidents more frequently during the day time than at night, especially during traffic peak hours. Individual tweets are more likely to report incidents near the center of a city, and the volume of information significantly decays outwards from the center.     

Virtual 3D city model as a priori information source for vehicle localization system

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead-reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead-reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on-board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF). 2. Pose computation using POSIT algorithm. The second approach is based on the on–board horizontal laser scanner that provides a set of distances between it and the environment. This set of distances is matched with depth information (virtual laser scan data), provided by the virtual 3D city model. The pose estimation provided by these two approaches can be integrated in data fusion formalism. In this paper the result of the first approach is integrated in IMM UKF data fusion formalism. Experimental results obtained using real data illustrate the feasibility and the performances of the proposed approaches.     

基于“1+3”的复合型人才课程体系的探索与实践——以新能源汽车技术专业为例

当前时期,针对复合型人才教学体系的创新,应当有对性地构建起更加完善的人才培养体系,并做好对于学生的专业性知识技能和专业性职业技能优化培养。结合现阶段的新能源汽车技术专业培养,要针对把握性教学标准和教学要求,做好有效性的更新和完善,本文主要结合基于"1+3"的复合型人才课程体系的探索与实践展开了研究分析。     

浅谈高速公路路基爬坡道处理施工工艺

介绍了由于特殊原因影响高速公路路基爬坡道侵占主线时的处理工艺.     

独柱索塔四索面斜拉索施工关键技术

嘉绍跨江大桥为主跨428m的六塔独柱式四索面斜拉桥。独柱、四索面的结构决定了斜拉索施工难度大、控制精度高。文章介绍了嘉绍大桥斜拉索施工的主要方法和创新工艺，为同类工程提供了借鉴与参考。     

浅析如何加强铁路设计院科技档案管理

铁路设计院在勘察设计过程中产生的科技档案是铁路工程建设的重要资料和宝贵财富,是下一步施工、监理等建设环节的重要依据。只有不断地加强铁路设计院的纸质文件和电子文件的收集、整理和归档工作,才能保证铁路科技档案完整、准确、系统、安全和有效利用,更好地为铁路建设服务。本文对铁路勘察设计院科学技术档案纸质文件、电子文件归档过程中存在的一些问题以及解决方法进行论述。     

TBM刀具检修工艺的技术探讨

结合兰渝铁路西秦岭隧道TBM项目刀具的使用、维修、更换等过程,分析刀具检查与维修的工艺过程,对刀具拆卸检查与维修中的各注意事项进行总结。刀具的检查与维修在掘进过程中占有一定的比例,保证刀具检修的质量是TBM快速掘进的前提,刀具的使用寿命会影响TBM掘进的利用率。西秦岭TBM项目针对不同地质情况下的施工刀具维修制定了详细的检查项目,经过第1阶段刀具检查维修的实践,取得较好的成效。     

综合勘察与超前地质预报技术在兰渝铁路长寿山隧道中的应用研究

长寿山隧道为特长隧道,其工程规模大,埋深大,需勘察范围广,地形地质条件十分复杂,为了详细查清隧道的工程地质与水文地质条件,并及时对地质勘察资料进行补充和完善,指导并保证隧道施工的安全顺利进行,通过在勘察阶段采用遥感、大面积地质调绘、物探、钻探、综合试验、测试相结合的地质综合勘察技术,在施工阶段,采用地质编录、TSP、地质雷达、红外探测、超前水平钻探等相结合的综合地质超前预报技术,提高勘察效率及质量,补充地质资料、指导及保证安全施工,取得很好的效果。实践证明,山区长大、深埋、地形地质复杂隧道,在勘察及施工阶段分别采用综合勘察与地质超前预报技术,其方法是必要、合理、恰当的。     

新型舰载ESM信号处理系统

随着雷达技术的发展，电磁环境越来越密集，雷达信号的类型超来超复杂，这就对ＥＳＭ信号处理提出了更高的要求。基于目前ＥＳＭ信号的处理方法，本文提出了一种先进的工程上可实现的新一代舰载ＥＳＭ信号处理系统。