BIM技术在清华珠三角公建项目施工中的应用研究

随着科技的进步及项目管理水平的提高,BIM技术应运而生。本文以清华珠三角研究院粤港澳大湾区创新基地项目为依托,从应用目标、应用前准备工作、前期策划管理、技术管理、质量安全管理、物资设备管理、进度管理、经济成本管理等方面开展BIM技术在公建项目施工中的应用研究,结果表明:使用BIM技术,使项目管理走向精细化、全面化、高效化,并提高质量标准,增加安全保障,减少项目成本,提高项目利润率;同时与AI技术相结合,使BIM技术更加具有简便性,产出更大效益。     

基于隧道检测钢筋分布不均状况下判定衬砌结构安全性应用研究

近年来隧道内出现的越来越多的质量安全事故,引起各方高度重视,相应的最适宜隧道主体工程衬砌质量控制的地质雷达无损检测方法被广泛应用。通过雷达无损检测可揭露出衬砌内欠厚、脱空、钢筋分布不均等大量各类型缺陷,针对欠厚脱空等缺陷制定的注浆或开窗等治理措施是目前工程中常见的整改闭合工序,但钢筋分布不均对结构安全影响如何判定,怎么界定处理尚无成熟方案与规定。本文针对隧道项目中实际检测出的钢筋分布不均缺陷,在不宜大范围扰动结构及围岩进行整治的情况下,以及在避免其他问题共存等不利因素的前提下,应用有限元数值模拟计算分析强度安全系数,并结合现场外观等综合因素对衬砌结构安全性进行分析判定研究。     

基于云平台的铁路视频系统及安全技术研究

云技术的广泛应用是信息技术发展的新趋势,铁路视频监控系统无论从存储的可扩展性、安全性还是从集中管理、大数据收集的角度,都需要云技术的有力支撑,云技术的应用也会带来新的安全问题,如云数据安全风险、虚拟化安全风险、非法访问风险等。简要分析铁路视频监控系统面临的安全问题和相应的安全技术方案。     

高桩码头评估的干扰能量法及与常规方法的对比

针对高桩码头的检测评估工作中缺少合理有效的评估方法和评估指标的问题,对结合干扰能量法的高桩码头结构评估指标进行研究。采用变分原理和最小势能原理,结合高桩码头的结构特点,建立基于干扰能量法的高桩码头结构整体安全评价的指标体系,并与现行规范进行对比。结果表明,此方法在评估局部构件的同时,还可定量给出结构的整体安全系数,能够反映不同构件对于整体安全性的贡献。     

电动汽车充电桩安全管理研究

随着国家对环境保护和能源节约的重视以及新能源政策的实施,电动汽车行业迎来了快速发展。充电基础设施的建设,是加快电动汽车推广的重要需要。电动汽车充电基础设施建设和运营业务发展的机会也极大,随之而来的安全管理工作要求也越来越高。本文依据充电桩建设和运营的特点,剖析其中面临的安全风险,并提出加强安全管理工作的措施,为充电桩企业安全管理运营提供参考和借鉴。     

Delivering improved alerts,warnings, and control assistance using basic safety messages transmitted between connected vehicles

When vehicles share their status information with other vehicles or the infrastructure, driving actions can be planned better, hazards can be identified sooner, and safer responses to hazards are possible. The Safety Pilot Model Deployment (SPMD) is underway in Ann Arbor, Michigan; the purpose is to demonstrate connected technologies in a real-world environment. The core data transmitted through Vehicle-to-Vehicle and Vehicle-to-Infrastructure (or V2V and V2I) applications are called Basic Safety Messages (BSMs), which are transmitted typically at a frequency of 10 Hz. BSMs describe a vehicle’s position (latitude, longitude, and elevation) and motion (heading, speed, and acceleration). This study proposes a data analytic methodology to extract critical information from raw BSM data available from SPMD. A total of 968,522 records of basic safety messages, gathered from 155 trips made by 49 vehicles, was analyzed. The information extracted from BSM data captured extreme driving events such as hard accelerations and braking. This information can be provided to drivers, giving them instantaneous feedback about dangers in surrounding roadway environments; it can also provide control assistance. While extracting critical information from BSMs, this study offers a fundamental understanding of instantaneous driving decisions. Longitudinal and lateral accelerations included in BSMs were specifically investigated. Varying distributions of instantaneous longitudinal and lateral accelerations are quantified. Based on the distributions, the study created a framework for generating alerts/warnings, and control assistance from extreme events, transmittable through V2V and V2I applications. Models were estimated to untangle the correlates of extreme events. The implications of the findings and applications to connected vehicles are discussed in this paper.     

高桩码头施工对内河航道通航安全的影响

针对高桩码头施工对内河航道通航安全的影响问题,以江苏响水高桩码头工程为依托,结合工程所在水域的通航情况,分析探讨高桩码头在挖泥、打桩、预制构件吊装施工期间相应施工船舶占用水域情况。根据内河航道的船舶流量分析,提出相应的航道通航安全保证措施,确保内河航道在高桩码头施工期间航道的通畅与通航安全。     

福州轨道交通建设安全管控平台的设计与应用

福州城市轨道交通建设规模不断增大，复杂的地质、环境条件以及众多工种施工的交叉作业和人员活动，给安全生产带来挑战。针对建设全过程安全管控的具体业务关系和需求分析，梳理和固化工作岗位、职责、流程、响应、整改等安全管理的事项和要求，强化对管控过程的追溯和考核管理。研究信息平台的业务需求、平台架构、网络拓扑、功能模块、数据库设计方法和实现思路，利用Ssm框架、Quartz框架、Encache技术以及SQLServer数据库技术，设计开发基于B/S模式的城市轨道交通安全管控信息系统，应用于在建的5条线路。信息平台的应用，可实现安全管理的标准化、科学化和精细化，极大地提高管理水平和工作效率。     

Analysis of factors that may be essential in the decision to fly on fully autonomous passenger airliners

This research investigates factors that influence opinion in the decision to fly on fully autonomous passenger airliners primarily from the perspective of aviation and technology professionals. Bayesian statistical inference and a two‐level fractional factorial survey are used to sample passengers' views on fully autonomous airliners. Eight trust, safety, and cost factors are incorporated into a vignette set in the future. Factors include automation levels, safety records, liability guarantees, airline integrity, and service disruptions. Dependent variables exist in five post‐vignette questions and essentially ask “Would you” or “Would you not” be willing to fly on a fully autonomous airliner? Sixteen versions of the vignette, each with unique trust, safety, and cost levels, present varying (unknown) degrees of influence to the survey respondents. For every demographic, the research shows a 99% statistically significant difference between the “prior” and “posterior” sampled population proportions willing to fly. The most significant positive influence involves integrity characteristics of the airline, while the most negative influence relates to life insurance liability guarantees. Research from 2003 suggested that this mode of travel would be acceptable to only 10.5% of respondents. When the 2003 research is used as a Bayesian prior probability, the resulting posterior probability for the demographics sampled can be modeled as a beta distribution, indicating 95% probability that the sampled proportion of the population willing to fly is between 33.2% and 36.4%. After adjusting for age and profession demographics to match the US population, the 95% probability bounds on the proportion willing to fly are 31.35% and 34.15%. Copyright © 2015 John Wiley & Sons, Ltd.