在线检验技术在重卡行业中的应用

工业2025智能智造核心之一为大规模个性化定制产品的柔性协同生产。产品的多样性、差异性给生产检验环节带来了新的课题,如何高效的检验批量差异产品。通过丰富的传感器和摄像头数据采集,系统比对、结果跟踪组成生产在线检验系统。提升了生产环节产品检验效率,保证产品质量和一致性。     

Fuzzy-logic-based incident detection for signalized diamond interchanges

This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy.The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.     

智能网联技术应用于混合动力汽车探析

文章简要介绍了混合动力汽车和智能网联技术的研究现状,阐明了混合动力汽车与智能网联技术相结合的意义。着重论述了在智能网联环境下混合动力汽车进行能量管理的优势以及混合动力汽车实现智能网联的技术要求,最后对未来二者的依托发展进行了展望。     

基于P4P架构的舰船闭路电视系统的研究与实现

随着大型舰船点播用户数量的增加,高清2k、高清4k、蓝光等高质量的视频点播节目的相继推出,视频点播业务所占用的存储空间和网络带宽需求越来越大。而在舰船特殊的应用环境中,网络传输带宽有限,网络环境复杂,目前常规网络架构的闭路电视不能满足日益增长的视讯业务发展的需求,点播用户数受限。基于此,文章介绍了舰船闭路电视系统的发展,阐述了一种基于P4P(Proactive network Provider Participation for P2P)架构的舰船闭路电视系统,对系统实现相关的几个关键技术进行了分析,对系统工作原理、系统架构和网络拓扑等功能设计进行了说明。     

波浪中过度加速度的非线性时域预报

国际海事组织(IMO)船舶设计建造分委会(SDC)第4次会议把过度加速度稳性直接评估的制定提上议程。然而,如何准确预报和评估波浪中的过度加速度依然是一个亟待解决的问题。文章针对此挑战,采用三维时域混合源法进行了波浪中过度加速度的直接预报和评估。首先,采用三维时域混合源法,建立了波浪中船舶大幅横摇运动和船体任意位置处横向加速度的非线性时域预报方法;其次,以4000TEU集装箱船为研究对象,开展规则波和不规则波中的大幅运动模型试验,对计算方法进行验证;然后,对比分析了3DOF(垂荡—纵摇—横摇)和4DOF(横荡—垂荡—纵摇—横摇)耦合数学模型的计算精度;最后,分析了船体横向加速度的影响因素。研究表明,考虑横荡影响的4DOF数学模型计算精度较高;数值计算结果和模型试验结果吻合良好,证明文中建立的非线性时域方法可有效预报波浪中的过度加速度,可用于IMO过度加速度衡准的制定,也可为船舶设计提供评估手段。此外,文中还研究了IMO薄弱性衡准草案中中国和德国联合提出的加速度简化计算方法的适用性,证明该简化计算方法具有一定的保守性,符合衡准的要求,可用于过度加速度薄弱性衡准计算。     

基于正交法的磁性Fe3O4纳米颗粒制备工艺选择

采用化学共沉淀法以FeCl3·6H2O,FeCl2·4H2O为原料,氨水为沉淀剂,进行了9组正交试验,探索制备Fe3O4纳米颗粒磁性能的影响因素,利用振动样品磁强计（VSM）和透射电镜（TEM）对磁粉进行表征,利用正交表极差分析找出了最佳制备工艺条件：即A2B1C3D2,去离子水用量为200 mL（Fe3＋为0.1 mol/L）;表面活性剂用量为1 mL;氨水30 mL;[Fe3＋]/[Fe2＋]=1.75时Fe3O4颗粒饱和磁化强度为62.70 emu/g.     

基于自律分散技术的快速公交智能调度系统设计研究

自律分散技术是一种国际上的新型技术,现已被广泛应用到各个相关领域.快速公交是近年来公交系统发展的重要方向,本文从功能需求的角度出发,运用自律分散技术,对快速公交智能调度系统进行横向和纵向结构的设计研究,从而为快速公交系统的发展研究提供一个新的思路,具有一定的指导和借鉴意义.     

4R理论在我国高速公路人力资源管理体制上的应用

目前我国高速公路人力资源管理体制存在着很多不足之处,严重阻碍了我国高速公路事业的发展,借助经济学领域中4R危机管理理论,对我国高速公路人力资源管理体制进行了初步分析,并提出了改进措施。     

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.