智能船舶集成设计技术

针对符合CCS《智能船舶规范》入级符号的船舶设计开发,研究分析智能船舶集成设计技术的设计思想、设计要素、设计框架和关键技术,设计目标船解决方案,并讨论了未来需要突破技术方向。     

Development of railway station choice models to improve the representation of station catchments in rail demand models

ABSTRACT

This paper describes the development of railway station choice models suitable for defining probabilistic station catchments. These catchments can then be incorporated into the aggregate demand models typically used to forecast demand for new rail stations. Revealed preference passenger survey data obtained from the Welsh and Scottish Governments was used for model calibration. Techniques were developed to identify trip origins and destinations from incomplete address information and to automatically validate reported trips. A bespoke trip planner was used to derive mode-specific station access variables and train leg measures. The results from a number of multinomial logit and random parameter (mixed) logit models are presented and their predictive performance assessed. The models were found to have substantially superior predictive accuracy compared to the base model (which assumes the nearest station has a probability of one), indicating that their incorporation into passenger demand forecasting methods has the potential to significantly improve model predictive performance.     

Investigating micro-simulation error in activity-based travel demand forecasting: a case study of the FEATHERS framework

Activity-based models of travel demand have received considerable attention in transportation planning and forecasting in recent years. However, in most cases they use a micro-simulation approach, thereby inevitably including a stochastic error that is caused by the statistical distributions of random components. As a consequence, running a transport micro-simulation model several times with the same input will generate different outputs, which baffles practitioners in applying such a model and in interpreting the results. A common approach is therefore to run the model multiple times and to use the average value of the results. The question then becomes: what is the minimum number of model runs required to reach a stable result? In this paper, systematic experiments are carried out using Forecasting Evolutionary Activity-Travel of Households and their Environmental RepercussionS (FEATHERS), an activity-based micro-simulation modelling framework currently implemented for the Flanders region of Belgium. Six levels of geographic detail are taken into account. Three travel indices – average daily activities per person, average daily trips per person and average daily distance travelled per person, as well as their corresponding segmentations – are calculated by running the model 100 times. The results show that the more disaggregated the level, the larger the number of model runs is needed to ensure confidence. Furthermore, based on the time-dependent origin-destination table derived from the model output, traffic assignment is performed by loading it onto the Flemish road network, and the total vehicle kilometres travelled in the whole Flanders are subsequently computed. The stable results at the Flanders level provides model users with confidence that application of FEATHERS at an aggregated level requires only limited model runs.     

A model for the visualization and analysis of elevator traffic

ABSTRACT

Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or modified according to analyses of traffic flow. However, interpretation of traffic flow based solely on numerical data may not be explicit and transparent for EGCS experts as well as for other non-expert building administration. In this study, we present a model for visualization and analysis of elevator traffic. First, we present an alternative approach for traffic analysis which we call route visualization. In the proposed approach, we initially decompose elevator traffic into its component parts and investigate each component independently. Then, using superposition of components we obtain a reconstructed model of overall traffic. This modeling approach provides component-based traffic analysis and representation of routes with intensities through data visualization. In the second part we introduce a multi-dimensional analysis of time parameters in ECGS. This approach provides a comparative analysis of several control algorithms such as dispatch or park algorithms for different combinations of traffic components.     

基于桥梁挠度长期监测值的动态预测

文章针对重庆高家花园嘉陵江大桥实时健康监测系统的挠度长期监测数据,根据监测信息的时间序列呈季节、循环等非平稳状态特点,介绍采用ARMA时间序列预测模型,对挠度监测数据中所包含的外荷载的变化趋势及结构抗力的衰变信息进行动态预测,同时建立了结构外效应的预测函数。结果表明,采用低阶模型能对挠度监测值进行较好的动态预测。     

基于BIM的数字建造工业化平台中业务管理的多源数据集成关键技术研究

随着BIM技术的不断发展,BIM平台在施工全过程的应用逐渐丰富。集成整合平台背后全生命周期的工程数据,并将数据传递至工程建造各个环节当中进行应用,是BIM平台发挥作用的本质。如何在工程的全生命周期收集和整理工程数据库,并传递至各个工作流程中发挥作用,是开展BIM平台建设的重点。以乌鲁木齐市东进场高架道路工程为实例,重点研究BIM平台中工程数据库的建立,分析如何在项目的设计阶段和施工过程中采集工程数据,并将工程数据库应用于项目管理。     

基于北斗短报文的船舶连续轨迹传输压缩方法

本文开展基于北斗短报文数据传输压缩方法的研究.该压缩方法通过设计的短报文压缩编码规则,实现利用北斗卫星系统的短报文功能传输远离海岸船舶的连续轨迹.方法设计合理、简单易行、使用方便、传输快捷有效、性能稳定可靠、应用广泛,应用效果非常显著.     

基于BIM的设计管理

针对BIM技术应用的现状和现阶段国内企业的BIM设计管理工作中存在的问题,探索研究基于BIM设计特点的管理系统。通过构建高效的BIM软件设计工作环境、优化基于BIM设计特点的管理流程、建立设计项目数据框架的方式,达到BIM设计管理系统的高效性和协同性。     

电动汽车动力电池热失控过程分析及预警机制设计

文章通过实验数据对热失控发生的过程进行分析,提取出关键的信号特征。设计出一套全面完整的热失控预警系统,并总结出多个报警条件,避免出现故障的误报及漏报的情况。最后介绍了热失控预警后整车及大数据的应对措施。     

未开放代码整车系统间BOM传递方案研究及应用

整车企业系统之间,因为底层代码不开放,数据结构逻辑未知等困难,无法实现精准对接。致力于通过大数据分析,数据结构排列组合等方法,验证出未开放系统的底层数据逻辑,实现数据关键字段管理。得出工程数据系统关键字段,不仅包含业务信息,还存在内核字段的结论。在无法获知底层封装代码的情况下,找到一条系统间从数据本身研究数据底层逻辑结构的有效论证和系统开发方法,建立精准变更对接管理规则,实现数据快速准确传递。