疏浚管道磨损远程实时监测系统研究
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摘要
为实时获取疏浚管道的磨损信息,避免爆管事故,延长管道使用寿命,进行了基于超声波测厚机理和SAE云平台的疏浚管道磨损远程实时监测系统的研究。首先提出了总体设计方案,然后研制了基于STM32的超声波管壁测厚装置,并利用Matlab进行多点数据拟合校准,解决了疏浚管道壁厚测量精度不高的问题,利用SAE云平台结合GPRS远程通信及GPS定位技术等开发了远程监测平台,实现了测厚终端与监测中心的数据交换,最后利用管道磨损试验平台进行了管道壁厚监测试验。结果表明:疏浚管道磨损远程实时监测系统工作稳定,具有较高的可靠性。
In order to obtain the wear information of dredged pipeline in real time, avoid the accident of pipe burst and prolong the service life of the pipeline, the remote real-time monitoring system of dredging pipeline wear based on ultrasonic thickness measurement mechanism and SAE cloud platform was studied. Firstly, the overall design scheme was proposed. Then, the STM32-based ultrasonic tube wall thickness measuring device was developed, and the multi-point data fitting and calibration was performed by Matlab. The problem of low wall wall thickness measurement accuracy was solved, and the SAE cloud platform was combined. GPRS remote communication and GPS positioning technology developed a remote monitoring platform to realize the data exchange between the thickness measurement terminal and the monitoring center. Finally, the pipeline wall thickness monitoring test was carried out using the pipeline wear test platform. The results show that the remote real-time monitoring system for dredging pipeline wear is stable and has high reliability.
In order to obtain the wear information of dredged pipeline in real time, avoid the accident of pipe burst and prolong the service life of the pipeline, the remote real-time monitoring system of dredging pipeline wear based on ultrasonic thickness measurement mechanism and SAE cloud platform was studied. Firstly, the overall design scheme was proposed. Then, the STM32-based ultrasonic tube wall thickness measuring device was developed, and the multi-point data fitting and calibration was performed by Matlab. The problem of low wall wall thickness measurement accuracy was solved, and the SAE cloud platform was combined. GPRS remote communication and GPS positioning technology developed a remote monitoring platform to realize the data exchange between the thickness measurement terminal and the monitoring center. Finally, the pipeline wall thickness monitoring test was carried out using the pipeline wear test platform. The results show that the remote real-time monitoring system for dredging pipeline wear is stable and has high reliability.
引文
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[2] 谢子阳,李海军,何文坤,等.测厚技术研究进展及其在疏浚钢管中的应用[J].机械制造,2017,55(4):68-71.
[3] FU Yuan Jie.Causes and Treatments to the Noise in the Automatic Ultrasonic Thickness Measuring Signals[J].Equipment Manufacturing Technology,2011(5):88-89.
[4] 蒋爽,倪福生,谢子阳,等.基于GPRS的疏浚钢管远程测厚系统的研究[J].机械与电子,2017,35(11):51-54.
[5] 王占元.基于单片机的便携式超声波测厚仪的研制[D].北京:北京化工大学,2011:37-41.
[6] 张帆,奚建东,李海军,等.基于单片机的脉冲反射式超声测厚系统研究[J].机械设计与制造工程,2017,46(7):58-61.
[7] MO Y,SINOPOLI B.Kalman Filtering with Intermittent Observations:Critical Value for Second Order System[J].IFAC Proceedings Volumes,2011,44(1):6592-6597.
[8] 刘瑶.PaaS云平台技术研究与应用[D].西安:长安大学,2015:20-22.
[9] YE S,WANG C D,LIN K C,et al.Schedule Management Application ‘WiDay’ Based on SAE Cloud Platform[C]//2015 Ninth International Conference on Frontier of Computer Science and Technology.Dalian:[s.n.],2015:292-297.
[10] 刘锐.基于B/S架构的客户服务系统的设计与实现[D].长春:东北大学,2014:16-20.
[11] 孙远辉.云服务资源管理体系架构及可视化技术研究[D].济南:山东大学,2011:40-50.