| 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. |
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