一种标定前照灯校准器新方法探讨

随着我国汽车工业的迅速发展,汽车社会保有量的迅猛增长,对汽车性能等计量检测内容亦日益增多.这其中汽车的前照灯防眩目直接关系到行车安全,作为汽车前照灯测试仪是调整前照灯的关键设备,前照灯校准器是检定前照灯仪的极其重要的量值传递的计量仪器,其本身计量性能的准确性就显得更为重要.在此,笔者对前照灯校准器标定与同行进行研讨.     

汽车前照灯检测技术探讨

汽车前照灯是在夜间行驶的主要照明装置,远近光形的好坏和照射方向对汽车夜间安全行驶起着重要的作用。因此,为保障机动车运行安全,应对前照灯的有关性能进行严格检验。本文就汽车前照灯远近光检测技术进行了分析。     

汽车前照灯光电检测系统

介绍一种新的汽车前照灯自动检测仪。该仪器采用了新的测量方法和信号处理技术（如ＣＣＤ摄像、ＣＡ－Ｄ５０１图像卡采集、“走迷宫”算法）能快速、准确地检测汽车前照灯的远、近光、其性检测精度约为１．７％,远、近光检测完毕所需时间不超过５ｓ。     

JJG745-1991《汽车前照灯检测仪检定规程》中光束照射方位偏移角量值传递的分析

一、问题的提出根据ＧＢ７４５４《机动车前照灯使用和光束调整技术规定》２．２．４条 :经过调整的前照灯光束在平坦的道路上 ,其远光光束一般能照清前方约１００ｍ远的障碍物。为此ＧＢ７２５８《机动车安全运行技术条件》７．４．２条对汽车四灯制前照灯远光单光束提出 ,在光束调整后 ,在１０ｍ远的屏幕上 ,光束中心点的离地高度为灯的基准中心高（Ｈ）０．８５Ｈ～０．９０Ｈ的要求。而实际对汽车前照灯的检测 ,目前均由仪器法代替屏幕法 ,对仪器的检定采用ＪＪＧ７４５-１９９１《汽车前照灯检测仪检定规程》。这就涉及经过检定的检测…     

JQD-1型汽车前照灯全自动检测仪

JQD—1型汽车前照灯全自动检测仪是以GB7258—87标准为依据研制的。检测仪能自动对准汽车前照灯的光轴,自动测定光轴垂直和水平偏移量以及灯的发光强程。仪器上的三块数显表直接显示读数,具有操作简便、测量准确、自动化程度高的特点,是汽车安全检测的必备设备之一。尤其适用于机动车、安全技术检测线,汽车制造厂和维修厂对汽车前照灯的有关参数进行检测。     

对汽车前照灯检测仪检定的探讨

汽车前照灯检测仪用于汽车及摩托车、轮式拖拉机前照灯的光束照射方位和发光强度的检测.目前对各型前照灯检测仪依据JJG745-1991<汽车前照灯检测仪检定规程>进行检定.根据多年来的实践,我感到在执行规程对自动跟踪式前照灯检测仪检定中尚存在值得商讨的问题.     

图像处理技术在机动车检测行业中的应用

数字图像处理是近年来快速发展的一门学科,本文介绍了图像处理在汽车检测行业中的应用。重点介绍了在机动车前照灯检测仪、汽车车牌识别系统以及汽车车身曲面形状X测量中的应用,这些应用充分体现了图像处理技术精度高、系统可靠性好、快速、灵活等优点。     

LED前照灯有望2007年夏在欧洲通过认证

各著名灯具厂商在SAE2006（美国汽车技术协会年会暨展览会）上，发表了LED前照灯的实用化前景及市场动向。荷兰飞利浦称，预计LED前照灯在2007年第3季度（7月～9月）可在欧洲通过认证。美国用户对LED前照灯寄予了很大期望，     

机动车前照灯检测仪检定中相关问题探讨

分析了目前汽车前照灯检测合格率低的原因并提出了解决办法,并对汽车前照灯检测仪检定中用线绳对正及采用透明水管检查校准灯激光发生器发射激光束是否水平等实际问题进行了探讨。     

汽车前照灯功能发展趋势及其形态改良设计的支撑理论探究

随着汽车产业的进步,汽车数量日益增长,夜间交通事故也随之增长,因此许多公司越来越重视汽车前照灯的设计,功能上也越来越丰富有趣,近些年汽车前照灯在功能发展上有着巨大的突破。汽车前照灯是汽车的眼睛,能展现出整个汽车造型的魅力,汽车前照灯造型设计是使汽车整个造型差异化个性化的关键手段之一,并且科技的进步为我们的想象力作支撑,造型设计上的束缚慢慢变少,因此汽车前照灯的造型设计较于传统前照灯势必有所突破。     

Automotive Lighting Systems Based on Luminance/Intensity Grids: A Proposal Based on Real-Time Monitoring and Control for Safer Driving

The requirements for automotive lighting systems, especially the light patterns ensuring driver perception, are based on criteria related to the headlamps, rather than the light perceived by drivers and road users. Consequently, important factors such as pavement reflectance, driver age, or time of night, are largely ignored. Other factors such as presence of other vehicles, vehicle speed and weather conditions are considered by the Adaptive Driving Beam (ADB) and Adaptive Front-lighting System (AFS) respectively, though with no information regarding the visual perception of drivers and other road users. Evidently, it is simpler to simulate and measure the light emitted by the lamps than the light reflected by the pavement or emitted by other vehicles. However the current technology in cameras and light sensors, communication protocols, and control of Light Emitting Diodes (LED), combined with decision-making techniques applied to large amounts of data, can open a new era in the operation of headlamps and thus ensure the visual needs of drivers in real time and under actual road conditions. The solution lies in an interaction road-sensor-headlamp, which is not based on the light emitted by headlamps, but rather on the light perceived by the drivers. This study thus proposes a dual grid based on luminance and luminous intensity, which would manage the headlamps by optimizing driver perception and the safety of all road users.     

PVD solutions for automotive thin film applications

As automotive lighting is in the transition from a simple combination of an incandescent light bulb with beam shaping reflective surfaces towards quite complex headlamps equipped white matrix LED in combination with transmission optics, the requirements to achieve a high efficiency also changed. While the former headlamps require a high reflectance, the latter design gains a high efficiency via a maximized transmittance. In addition, new challenges arise due to an increasing amount of cameras, new components like Lidar and sensors for driving safety in modern as well as future autonomous driving cars. Physical vapour deposition (PVD) thin film technologies are able to produce coatings for the previously mentioned applications but also offer extraordinary upside potential for future sensor technologies.     

面阵CCD在机动车前照灯测量中的应用

介绍以面阵ＣＣＤ为探测器的有前照灯强测量系统。系统的测量全过程由计算机控制。具体给出系统测试的原理,总体结构、软件和硬件配置,并详细介绍了ＣＣＤ器件在具体应用时进行修正所用的方法和实验结果。     

机动车安全技术检验标准研究

本文通过分析我国机动车安全技术检验的现状，从技术标准层面研究提出了加强和改进机动车安全技术检验项目、检验方法和检验结果处置的意见，为推动修订国家标准《机动车安全技术检验项目和方法》（GB 21861）提供借鉴和参考。     

我国连续波多普勒雷达在火炮测速中的应用

本文介绍了一类技术发展迅速、性能优良、使用方便的火炮测速雷达。文中回顾了连续波多普勒测速雷达的应用与发展,介绍了国内迅速崛起的火炮测速雷达研制生产状况和在这种雷达中应用新技术的情况。高稳定低噪声抗声振的发射接收系统、高性能的信号数据处理终端和测速雷达应用中的精度校准技术是测速雷达的三大关键技术,国内在这些方面均有所突破和创新。     

Sodium and sodium-ion energy storage batteries

Owing to almost unmatched volumetric energy density, Li-ion batteries have dominated the portable electronics industry and solid state electrochemical literature for the past 20 years. Not only will that continue, but they are also now powering plug-in hybrid electric vehicles and electric vehicles. In light of possible concerns over rising lithium costs in the future, Na and Na-ion batteries have re-emerged as candidates for medium and large-scale stationary energy storage, especially as a result of heightened interest in renewable energy sources that provide intermittent power which needs to be load-levelled. The sodium-ion battery field presents many solid state materials design challenges, and rising to that call in the past couple of years, several reports of new sodium-ion technologies and electrode materials have surfaced. These range from high-temperature air electrodes to new layered oxides, polyanion-based materials, carbons and other insertion materials for sodium-ion batteries, many of which hold promise for future sodium-based energy storage applications. In this article, the challenges of current high-temperature sodium technologies including Na-S and Na-NiCl₂ and new molten sodium technology, Na-O₂ are summarized. Recent advancements in positive and negative electrode materials suitable for Na-ion and hybrid Na/Li-ion cells are reviewed, along with the prospects for future developments.     

情境语义下的汽车前车灯造型特征与用户意象映射研究

目的分析特定情境语义下汽车前车灯的造型特征,并且定量研究车灯造型特征与用户意象需求的关系。方法用形态分析法对收集的汽车前车灯造型特征样本进行整理,将汽车前车灯造型特征主要分为三类,即形态特征、色彩特征、质感特征。再运用Kano模型,以标准问卷的调研形式,对特定情境语义下的不同汽车前车灯造型特征进行用户意象需求分层,得到不同层次的意象需求,并与不同的汽车前车灯造型特征相关联,形成汽车前车灯造型特征与用户意象需求层次的映射机制。结论通过定性和定量研究,将用户对车灯造型模糊的意象需求明确化,在受限于现有实验条件的设计实践中,可以有针对性地选择产品造型特征作为设计目标,这能够为满足不同用户意象需求的产品造型设计提供有效指导。     

Automatic vehicle location tracking system based on GIS environment

Recently, automatic vehicle location (AVL) has become more widely used, affordable and popular than ever before. AVL is used for different tracking purposes, especially for those related to tracking one vehicle or a fleet of vehicles. Tracking system technology was made possible by the integration of three new technologies: navigational technologies such as global positioning system (GPS), database technologies such as geographic information system (GIS) and communication technology such as general packet radio service (GPRS). The proposed software design dasiatracking systemdasia is used to pinpoint the position, ground speed and fuel level of a given vehicle. This improves fleet management by making it secure and more efficient. The system has the ability to detect the optimal path between source and destination, depending on many factors such as travel time, jam, topography and number of traffic lights. The authors applied greedy techniques (GT) such as Dijkstradasias and Kruskaldasias algorithms to a graph weight depending on the proposed cost function (CF). The geofencing technique is applied to the system based on real coordinates and grants security and safety to the fleet of vehicles. The designed software offers more flexibility in loading digital maps. This proposed software has the ability to visualise the real position of vehicles on maps and to take decisions according to real-time information.     

解析GB17930-2016《车用汽油》标准修订内容

GB17930-2016为我国第六阶段车用汽油标准.新标准重新规定了适用范围,增减规范性引用文件中的一些GB和SH标准,修订了芳烃和烯烃含量的仲裁试验方法;增加了第六阶段车用汽油的技术要求,将芳烃(体积分数,下同)由不大于40%降低至不大于35%、ⅥA阶段烯烃由不大于24%分阶段降低至不大于18%、ⅥB阶段降低至不大于15%、苯含量由不大于1.0降低至不大于0.8,将50%蒸发温度由不高于120℃降低至不高于110℃,删除了车用汽油(V)中对硫醇硫的技术要求.一些关键技术指标上已经达到欧洲现阶段或现行车用汽油的质量要求.     

高校新校区交通噪声预测评价

交通噪声是造成高校环境噪声超标的主要因素,尤其对城市道路下穿校园的新校区影响更大。运用噪声预测方法对在建的安徽理工大学新校区进行噪声预测评估,为其环境规划提供相应的依据和技术支持。通过测量统计校园周围道路不同类型的机动车流量数据,结合测量已有道路的交通噪声,利用Cadna/A噪声预测软件,建立新校区交通噪声模型,计算并绘制噪声网格分布图,并提出相应噪声控制措施。结果表明,通过采取在校园四周增加围墙,并在南北下穿城市道路旁设置声屏障等措施后,可以改善校园声环境,使其达到国家I类地区噪声规定标准。