硅胶吸附管采集甲醇汽车尾气排放中甲醇的方法研究

文章主要研究了利用硅胶吸附管采集甲醇汽车尾气排放中甲醇的方法,对硅胶吸附管的规格、待测样品的浓度、采样参数等进行了详细的讨论及验证。研究表明,利用硅胶吸附管采集甲醇的过程中,很容易发生甲醇的穿透。随着硅胶颗粒装填数目的增加,甲醇的穿透率降低,实际吸附甲醇的效率增加。在采样流量相同时,待测样品浓度越高,甲醇的穿透率越高。在待测样品浓度相同时,采集流量越高,甲醇的穿透率越高。将硅胶吸附管串联,可以有效减少甲醇的穿透,提高吸附效率。     

船舶小组立装焊作业单元CPS系统研究与应用

当前船厂小组立装焊作业过程存在作业任务信息无法直接传递至现场,现场实际执行的状态信息无法及时反馈等问题,导致装焊作业混乱、装焊效率低下.为了解决上述问题,针对船舶小组立装焊作业单元进行研究,构建基于信息物理融合(CPS)的智能制造系统.首先分析了小组立装焊作业流程;然后梳理了装焊作业任务数据,构建了小组立装焊作业数据模型,并在此基础上,完成了基于物联网的CPS框架设计以及系统功能开发,实现了对装焊作业过程的有效监控;最后将该系统应用于某船厂小组立装焊现场,有效规范了装焊作业过程,提高了装焊效率.     

管道惯性测绘系统研制及应用

针对管道中心线地理坐标信息的测量需求,基于惯性导航原理,研制了以管道内检测器为载体的管道中心线测绘内检测设备,并将其与漏磁内检测器结合进行工程应用。选取了5处已知点对测绘结果进行了验证,测绘结果和实际验证结果表明:研制的惯性导航内检测器能够准确测绘管道中心线轨迹坐标,在校验点间距约为2 km时,5个距校验点约1 km的已知点的平均测绘误差约为1.8 m;通过将惯性导航检测器与漏磁检测器的组合使用,可有效获取管道缺陷的地理坐标信息,提高了管道内检测缺陷检测定位的精度。     

人脸识别系统在重庆轨道交通公安系统中的应用

结合重庆轨道交通公安分局人脸识别系统建设的情况,分析了基于视频流的人脸识别系统在重庆轨道交通中的应用,重点阐述了人脸识别系统在重庆轨道交通公安系统中的基本构成,并详细分析了人脸识别系统在重庆轨道交通公安系统中的重要作用.     

Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data

The travel behavior of passengers from the transportation hub within the city area is critical for travel demand analysis, security monitoring, and supporting traffic facilities designing. However, the traditional methods used to study the travel behavior of the passengers inside the city are time and labor consuming. The records of the cellular communication provide a potential huge data source for this study to follow the movement of passengers. This study focuses on the passengers’ travel behavior of the Hongqiao transportation hub in Shanghai, China, utilizing the mobile phone data. First, a systematic and novel method is presented to extract the trip information from the mobile phone data. Several key travel characteristics of passengers, including passengers traveling inside the city and between cities, are analyzed and compared. The results show that the proposed method is effective to obtain the travel trajectories of mobile phone users. Besides, the travel behavior of incity passengers and external passengers are quite different. Then, the correlation analysis of the passengers’ travel trajectories is provided to research the availability of the comprehensive area. Moreover, the results of the correlation analysis further indicate that the comprehensive area of the Hongqiao hub plays a relatively important role in passengers’ daily travel.

     

基于SoftPLC的船舶主机遥控物理仿真模拟器设计

模拟器以一艘1600 TEU集装箱船使用的Autochief IV主机控制系统作为原型,采用SoftPLC实现对船舶主机遥控物理仿真模拟器的控制。利用组态软件PIMS作为上位机开发平台,实现数据的存储及功能的完善。在模拟器上可以进行各种相关的训练操作,达到培训学员的目的。     

Hybrid process of fabricating high-quality micro wine-glass fused silica resonators

A new hybrid method, which combines improved glass-blown technology with wet etching, is reported to fabricate micro wine-glass resonators with high-quality fused silica. The optimum placement is compared to achieve the resonators with good shell shape. The typical shell diameter is about 4mm and its thickness covers from dozens to hundreds of micrometers. The etching rates in corrosion solutions with different ratios and at different thicknesses of hemispherical shells are studied. We also conclude how to precisely control the thickness. The corrosion solutions with different ratios of HF solution to NH₄F solution make the spherical shells rougher in different degrees. The best roughness is 0.581 nm in the 1: 8 ratio corrosion solution while the original roughness is 0.537 nm. This fact shows that the resonator remains atomically smooth surface. Based on the glassblowing spherical fused silica structure, the thickness of the resonator is effectively controlled by buffered oxide etch (BOE) technology according to the measured etching rate. The measured resonant frequency of the hemispherical shell at ambient pressure and room temperature is 1.75 kHz of rocking mode which is close to the simulated frequency. Using such a low-cost hybrid approach, we can fabricate high-quality microscale resonators in batch.     

Impacts of urban built environment on empty taxi trips using limited geolocation data

This study identifies the determinants of the empty taxi trip duration (ETTD) by combining three high-resolution databases—geolocation data in New York City, geodatabase of urban planning data, and transportation facilities data. Considering the nature of duration data, hazard-based duration model is proposed to explore the relationships between causal factors and ETTD, coupling with three variations of baseline hazard distribution, i.e., Weibull distribution with heterogeneity, Weibull distribution, and log-logistic. Furthermore, the likelihood ratio test is presented to implement comparisons of three baseline hazard distributions, as well as spatial and temporal transferability of causal factors. The results show significant complementary effects by subway system and competitive effects by city bus and bicycling system, as well as significant impacts of trip length, airport trip, average annual income, and employment rate. Urban built environment, for instance, density of road, public facilities, and recreational sites and ratio of green space, has various impacts on ETTD. The elasticity estimations confirm significant spatial and temporal heterogeneity in impacts on ETTD. In addition, the analysis on elasticity also reveals the considerable impacts of severe traffic congestion on ETTD within Manhattan. The modeling can assist stakeholders in understanding empty taxi movements and measuring taxi system efficiency in urban areas.     

Estimation of delay variability at signalized intersections for urban arterial performance evaluation

Urban arterial performance evaluation has been broadly studied, with the major focus on average travel time estimation. However, in view of the stochastic nature of interrupted flow, the ability to capture the characteristics of travel time variability has become a critical step in determining arterial level of service (LOS). This article first presents a stochastic approach that integrates classic cumulative curves and probability theories in order to investigate delay variability at signalized intersections, as a dominant part of the link travel time variability. This serves as a basis for arterial travel time estimation, which can be obtained through a convolution of individual link travel time distributions. The proposed approach is then applied in the estimation of travel time along one arterial in Shanghai, China, with abundant automatic vehicle identification (AVI) data sources. The travel time variability is evaluated thoroughly at 30-min intervals, with promising results achieved in comparison to the field measurements. In addition, the estimated travel time distributions are utilized to illustrate the probability of multiple LOS ranges, namely, reliability LOS. The results provide insights into how we might achieve a more reliable and informative understanding of arterial performance.     

Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.