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基于车辆动态测重系统监测数据的公路桥梁随机载荷谱 被引量:9
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作者 王海洋 黃培彦 +1 位作者 李政伟 胡旭利 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2014年第4期70-76,共7页
根据广州某高速公路设置的车辆动态测重系统获取的车辆荷载信息,包括所在车道、车型(车轴数)、轴重、总重、车速和通过时刻等数据,对车流中车辆间距的时变特征进行了分析;根据分析结果,就实际车流荷载对桥梁结构的作用进行了简化;通过... 根据广州某高速公路设置的车辆动态测重系统获取的车辆荷载信息,包括所在车道、车型(车轴数)、轴重、总重、车速和通过时刻等数据,对车流中车辆间距的时变特征进行了分析;根据分析结果,就实际车流荷载对桥梁结构的作用进行了简化;通过引入荷载横向分布的概念,将车辆随机载荷从二维问题转化为一维问题,由此模拟得到了桥梁跨中弯矩的应力-时间历程.利用该历程数据,提出了一种公路桥梁随机载荷谱的模拟和编制方法,并得到了可用于疲劳实验的随机载荷谱(实验谱).与现有的公路桥梁车辆载荷谱的模拟和编制方法相比,采用文中方法所模拟和编制的随机载荷谱更接近桥梁的实际工作状态. 展开更多
关键词 车辆动态测重系统 随机载荷谱 应力-时间历程 荷载横向分布
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适应性之动态测重站控制策略(英文)
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作者 韩立 顾忠仁 《交通科学与工程》 2009年第3期70-74,共5页
公路管理机构常用动态测重技术(WIM)来减少车辆滞留和执行超重车辆通行法.一般的做法是采用固定阈值(即合法重量极值)来初步过滤和分类车辆.如果某卡车的动态测重读数超过该阈值,该卡车会被指示去静态测重作进一步的检查,如:超重属实则... 公路管理机构常用动态测重技术(WIM)来减少车辆滞留和执行超重车辆通行法.一般的做法是采用固定阈值(即合法重量极值)来初步过滤和分类车辆.如果某卡车的动态测重读数超过该阈值,该卡车会被指示去静态测重作进一步的检查,如:超重属实则可能开出处罚传票.适应性测重阈值法能充分利用动态测重技术并增强其操作效率.当在测重站等候的车辆很多时,阈值将增大,以避免测站阻塞,同时仍然可以逮住严重超重的违规车辆.当等候车辆少时,该阈值降低,以尽量多地检查车辆.主要阐述对适应性测重法的操作和设计的估算,并建立了一个高速路匝道出口动态测重站的微观模拟模型.然后,模拟和测试了动态阈值调节策略.结果表明,在广泛的条件下,适应性法总是优于传统的静态阈值操作法.在交通流量需求很大条件下,该算法抓住的超重卡车比静态操作的多44%以上,同时,其平均车辆滞留只为在静态操作情况下的30%.换句话说,所提出的适应性测重法更有效地控制了超重并满足了交通流量的要求. 展开更多
关键词 动态测重 模拟 卡车 控制
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基于FLANN数据融合的微重力落舱动态测重补偿及校正
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作者 王思明 《兰州大学学报(自然科学版)》 CAS CSCD 北大核心 2005年第6期77-81,共5页
提出了一种用函数连接型神经网络(FLANN)数据融合及直线回归分析技术相结合实现微重 力落舱动态测重的补偿及其非线性校正的方法.该方法将测重传感器输出的线性段特性用回归方法 进行拟合,得到直线校正方程;对测重传感器非线性特性采用... 提出了一种用函数连接型神经网络(FLANN)数据融合及直线回归分析技术相结合实现微重 力落舱动态测重的补偿及其非线性校正的方法.该方法将测重传感器输出的线性段特性用回归方法 进行拟合,得到直线校正方程;对测重传感器非线性特性采用FLANN数据融合,从而实现测重传感器 温度补偿与非线性校正.该方法用于微重力落舱动态测重结果分析表明,该方法是切实有效和可行的. 展开更多
关键词 函数连接型神经网络 数据融合 力落舱 动态测重 校正
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动态限载系统的设计和分析
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作者 吕景贵 郭乙木 凌玮 《自动化仪表》 CAS 2006年第7期16-18,共3页
提出了一种新的动态限载系统设计方案,主要功能是将动态的重量信号通过传感器转化成电信号,经过数字电路进行信号处理,由微机进行计算,根据车辆本身的信息,确定汽车是否超载,实现了全自动、不停车称重的功能。系统采取的数学模型在推导... 提出了一种新的动态限载系统设计方案,主要功能是将动态的重量信号通过传感器转化成电信号,经过数字电路进行信号处理,由微机进行计算,根据车辆本身的信息,确定汽车是否超载,实现了全自动、不停车称重的功能。系统采取的数学模型在推导过程中,对时变非线性方程采用分段曲线拟合的处理方法,将动态测重转化为瞬时速度的测量和系统参数的辨识问题。试验结果表明在车速低于20km/h时,误差小于3%。 展开更多
关键词 动态测重 超载 传感器
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Weigh in Motion Based on Parameters Optimization
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作者 周志峰 蔡萍 陈日兴 《Journal of Donghua University(English Edition)》 EI CAS 2009年第1期46-51,共6页
Dynamic tire forces are the main factor affecting the measurement accuracy of the axle weight of moving vehicle.This paper presents a novel method to reduce the influence of the dynamic tire forces on the weighing acc... Dynamic tire forces are the main factor affecting the measurement accuracy of the axle weight of moving vehicle.This paper presents a novel method to reduce the influence of the dynamic tire forces on the weighing accuracy.On the basis of analyzing the characteristic of the dynamic tire forces,the objective optimization equation is constructed.The optimization algorithm is presented to get the optimal estimations of the objective parameters.According to the estimations of the parameters,the dynamic tire forces are separated from the axle weigh signal.The results of simulation and field experiments prove the effectiveness of the proposed method. 展开更多
关键词 WEIGH-IN-MOTION dynamic tire forces LEVENBERG-MARQUARDT OPTIMIZATION
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Abnormal activity detection for surveillance video synopsis
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作者 祝晓斌 Wang Qian +3 位作者 Li Haisheng Guo Xiaoxia Xi Yan Shen Yang 《High Technology Letters》 EI CAS 2016年第2期192-198,共7页
Video synopsis is an effective and innovative way to produce short video abstraction for huge video archives,while keeping the dynamic characteristic of activities in the original video.Abnormal activity,as the critic... Video synopsis is an effective and innovative way to produce short video abstraction for huge video archives,while keeping the dynamic characteristic of activities in the original video.Abnormal activity,as the critical event,is always the main concern in video surveillance context.However,in traditional video synopsis,all the normal and abnormal activities are condensed together equally,which can make the synopsis video confused and worthless.In addition,the traditional video synopsis methods always neglect redundancy in the content domain.To solve the above-mentioned issues,a novel video synopsis method is proposed based on abnormal activity detection and key observation selection.In the proposed algorithm,activities are classified into normal and abnormal ones based on the sparse reconstruction cost from an atomically learned activity dictionary.And key observation selection using the minimum description length principle is conducted for eliminating content redundancy in normal activity.Experiments conducted in publicly available datasets demonstrate that the proposed approach can effectively generate satisfying synopsis videos. 展开更多
关键词 abnormal activity detection key observation selection sparse coding minimumdescription length (MDL) video synopsis
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Dynamics of quantum zeno and anti-zeno efects in an open system 被引量:3
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作者 ZHANG Peng AI Qing +2 位作者 LI Yong XU DaZhi SUN ChangPu 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2014年第2期194-207,共14页
We provide a general dynamical approach for the quantum Zeno and anti-Zeno effects in an open quantum system under repeated non-demolition measurements. In our approach the repeated measurements are described by a gen... We provide a general dynamical approach for the quantum Zeno and anti-Zeno effects in an open quantum system under repeated non-demolition measurements. In our approach the repeated measurements are described by a general dynamical model without the wave function collapse postulation. Based on that model, we further study both the short-time and long-time evolutions of the open quantum system under repeated non-demolition measurements, and derive the measurement-modified decay rates of the excited state. In the cases with frequent ideal measurements at zero-temperature, we re-obtain the same decay rate as that from the wave function collapse postulation (Nature, 2000, 405: 546). The correction to the ideal decay rate is also obtained under the non-ideal measurements. Especially, we find that the quantum Zeno and anti-Zeno effects are possibly enhanced by the non-ideal natures of measurements. For the open system under measurements with arbitrary period, we generally derive the rate equation for the long-time evolution for the cases with arbitrary temperature and noise spectrum, and show that in the long-time evolution the noise spectrum is effectively tuned by the repeated measurements. Our approach is also able to describe the quantum Zeno and anti-Zeno effects given by the phase modulation pulses, as well as the relevant quantum control schemes. 展开更多
关键词 quantum Zeno effect quantum anti-Zeno effect quantum measurement
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