[1]王珺,倪雁,倪福生,等.基于SAE云平台的疏浚管道磨损远程监测平台设计[J].机械与电子,2019,(03):47-50,54.
 WANG Jun,NI Yan,NI Fusheng,et al.Design of Remote Monitoring Platform for Dredging Pipe Wear Based on SAE Cloud Platform[J].Machinery & Electronics,2019,(03):47-50,54.
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基于SAE云平台的疏浚管道磨损远程监测平台设计()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2019年03期
页码:
47-50,54
栏目:
设计与研究
出版日期:
2019-03-24

文章信息/Info

Title:
Design of Remote Monitoring Platform for Dredging Pipe Wear Based on SAE Cloud Platform
文章编号:
1001-2257(2019)03-0047-04
作者:
王珺12倪雁3倪福生12蒋爽12
(河海大学 机电工程学院,江苏 常州213022; 2.疏浚技术教育部工程研究中心,江苏 常州213022; 3.中交上海航道勘察设计研究院有限公司,上海 200120)
Author(s):
WANG Jun 12NI Yan3NI Fusheng 12JIANG Shuang 12
(1.College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022China 2.Engineering Research Center of Dredging Technology of Ministry of Education, Changzhou 213022China3.Shanghai Waterway Engineering Design and Consulting Co., Ltd.. Shanghai 200120China)
关键词:
疏浚管道磨损远程实时监测SAE云平台
Keywords:
dredging pipe wear remote real-time monitoring SAE cloud platform
分类号:
TP391
文献标志码:
A
摘要:
 为了实时监测疏浚管道磨损情况,避免爆管风险,延长管道使用寿命,设计了一种基于SAE云平台的疏浚管道磨损远程实时监测平台。在对SAE云平台的架构原理进行分析的基础上,提出了监测平台的总体设计方案,进行了SAE云服务器的部署和云数据库的设计,利用HTTPGET方法实现数据传输。最后,经管道磨损实验台的调试验证,监测平台能够远程实时获取所测管段的壁厚信息,实现了数据的远程接收、显示和存储,具有较好的可行性和可靠性。
Abstract:
In order to monitor the wear of dredged pipelines in real time, avoid the risk of pipe bursting and prolong the service life of the pipeline, a remote real-time monitoring platform for dredging pipeline wear based on SAE cloud platform was designed. Firstly, based on the analysis of the architecture principle of SAE cloud platform, the overall design scheme of the monitoring platform was proposed. Then the SAE cloud server deployment and cloud database design were carried out, and the data transmission was realized by HTTPGET method. Finally, through the pipeline wear test bench debugging verification, the monitoring platform can obtain the wall thickness information of the measured pipe segments in real time, and realize the remote reception, display and storage of data, which has good feasibility and reliability.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-11-09
基金项目:江苏省科技成果转化专项资金项目(BA2016143);中央高校基金科研业务费项目(2017B21014);国家重点研发计划(2018YFC0407404)
作者简介:王珺(1992-),女,河北唐山人,硕士研究生,研究方向为机械电子工程; 倪雁(1987-),男,安徽无为人,硕士,助理工程师,研究方向为港口航道工程设计;倪福生(1961-),男,安徽无为人,教授,博士研究生导师,研究方向为疏浚装备关键机具、疏浚工艺及仿真等。
更新日期/Last Update: 2019-10-28