【作者】 王维；

【导师】 马丽英；

【作者基本信息】 重庆交通大学 ， 工程硕士（专业学位）， 2018， 硕士

【摘要】 近几年来,国内汽车保有量呈稳定的快速增加趋势,公路交通的压力越来越大,这对高等级公路的质量、承载能力以及寿命提出了更高的要求。在影响高等级公路质量及使用寿命的所有因素中,压实度为关键性因素,因此道路施工中如何保证达到需求的压实度十分重要。然而,传统压实度检测存在对路面有损、费工费时、易漏检等弊端,且在施工完成后进行检测,经常会造成过压实或者压实不足的现象,降低了施工效率,影响道路质量和使用寿命。因此,实时、准确、低成本的新型压实度监测技术成为了当下研究热点。云计算技术逐渐趋于成熟,它以强大的计算能力、存储能力在各行各业得到了应用,在监测、信号处理系统方面也不例外。这对压实度监测系统的开发提供了新的思路,将云计算平台与压实度监测系统相结合,可以使得系统具有强大的计算、存储能力,保证监测的实时性。还可以进一步监控多台压实系统,甚至其它施工机械,为道路施工的机群化监控管理作业提供借鉴。本文在充分分析了压实度监测方法和云计算技术之后,将云计算技术首次应用到压实度监测系统中,搭建了一种基于云计算的振动压路机压实质量实时监测系统。首先建立了振动压实系统动力学模型,确定了路面压实质量可以由压路机振动轮的振动加速度间接反映,其次分析了云计算的关键技术,创建了阿里云ECS并确定了振动加速度信号及计算结果的远程传输方案,然后建立“振动轮-土体”压实系统有限元模型,分析了振动轮下土体的应力分布特性,得出了振动轮的振动加速度信号与压实遍数呈正相关关系,并进行了试验验证它们的正相关性,最后利用虚拟仪器LabVIEW在客户端和阿里云ECS上分别搭建了监测系统的客户端软件和服务器软件,开发了基于云计算的振动压路机压实质量实时监测系统,通过客户端采集振动加速度信号传输至阿里云ECS上进行分析处理并将结果反馈给客户端进行显示,实现了对压实质量的监测。结果表明,基于云计算的振动压路机压实质量实时监测系统很好的解决了传统检测方法的有损、易漏检、效率低等问题,克服了传统监测系统单机计算、存储能力不足等问题,进一步加强了监测的实时性,实现了监测系统的信息化和网络化,对监测系统的网络化具有一定的借鉴意义,也符合了道路施工的机群化管理监测的发展趋势。更多还原

【Abstract】 In recent years,there has been a steady and rapid increase in the number of car ownership in our country,and the pressure on highway traffic is becoming heavier and heavier.That is,this imposes higher requirements on the quality,carrying capacity and service life of high-grade highways.of all the factors affecting the quality and service life of high-grade roads,the degree of compaction is the key factor.Therefore,how to ensure that the degree of compaction meets the demand in road construction is quite important.However,traditional compactness testing methods have some disadvantages such as road damage,labour-consuming and time-consuming process and easy-to-miss detection.And if it is tested after completed construction,it often cause over-compaction or low-compaction so that it can reduce construction efficiency and affect road quality and service life.Therefore,the new real-time,accurate and low-cost monitoring technology of compaction degree has become a hot spot in the current research.Cloud computing technology has gradually matured.It has been applied in all walks of life with its powerful computing and storage capabilities.It is no exception in terms of monitoring and signal processing systems.Cloud computing technology provides a new idea for the development of the compactness monitoring system.That is,combining the cloud computing platform with the compaction monitoring system can make the system have powerful calculation and storage capabilities and can guarantee the real-time monitoring performance.Furthermore,the new idea can monitor multiple compaction systems and even other construction machinery to provide reference for the cluster monitoring and management operations of road construction.After fully analyzing the compaction degree monitoring method and cloud computing technology,this paper applies cloud computing technology to the compaction degree monitoring system for the first time,and builds a real-time monitoring system for compaction quality of vibratory compactors based on cloud computing.Firstly,the dynamic model of vibratory compaction system was established.It is confirmed that the compaction quality of road can be indirectly reflected by the vibratory acceleration of vibratory wheel of roller.Secondly,the key technologies of cloud computing were analyzed and the Ali Cloud ECS was established.What’s more,a long-range transmission scheme of vibration acceleration signal and feedback was determined.And then the "vibration wheel-soil" compaction system finite element model was established.The stress distribution characteristics of the soil under the vibration wheel has been analyzed,and a positive correlation between vibration acceleration signal and the number of compaction passes has been obtained.And a test was carried out to verify their positive correlation.Finally,the client software and server software of the monitoring system were set up by using the virtual instrument Lab VIEW on the client and Ali Cloud ECS.A real-time monitoring system for compaction quality of vibratory rollers based on cloud computing was developed.The vibration acceleration signals collected by the client were transmitted to Ali Cloud ECS for analysis and processing,and the results were fed back to the client for display,thereby realizing the monitoring of compaction quality.The results show that the real-time monitoring system for compaction quality of vibratory rollers based on cloud computing solves the problems of lossy,easy-to-miss detection,and low efficiency of traditional detection methods,and overcomes the inadequacies of single-machine computing and storage capabilities of traditional monitoring systems.The real-time monitoring has been strengthened,and the monitoring system has been informationized and networked.It has certain reference significance for the networked of the monitoring system and is also in line with the development trend of cluster construction management monitoring of road construction.更多还原