李华峰, 刘炎, 徐凯, 等. 基于异构网络的物联网海洋大气腐蚀加速实验平台[J]. 中国舰船研究, 2021, 16(4): 224–231. doi: 10.19693/j.issn.1673-3185.01946
引用本文: 李华峰, 刘炎, 徐凯, 等. 基于异构网络的物联网海洋大气腐蚀加速实验平台[J]. 中国舰船研究, 2021, 16(4): 224–231. doi: 10.19693/j.issn.1673-3185.01946
LI H F, LIU Y, XU K, et al. Marine atmospheric accelerated experimental corrosion platform based on IoT technology through heterogeneous network[J]. Chinese Journal of Ship Research, 2021, 16(4): 224–231. doi: 10.19693/j.issn.1673-3185.01946
Citation: LI H F, LIU Y, XU K, et al. Marine atmospheric accelerated experimental corrosion platform based on IoT technology through heterogeneous network[J]. Chinese Journal of Ship Research, 2021, 16(4): 224–231. doi: 10.19693/j.issn.1673-3185.01946

基于异构网络的物联网海洋大气腐蚀加速实验平台

Marine atmospheric accelerated experimental corrosion platform based on IoT technology through heterogeneous network

  • 摘要:
      目的   探究将异构网络和物联网技术应用于海上设施远程监测的可行性。
      方法   设计一种基于异构网络的物联网腐蚀加速实验平台,其由感知层、网络层和应用层构成。采用盐雾实验法实现对典型海洋大气腐蚀的加速模拟,感知层采集腐蚀加速实验的发生环境参数和腐蚀参数,网络层采用由ZigBee,LoRa,无线通信技术(WiFi)以及以太网构成的异构网络对感知数据进行传输,最终通过应用层的web应用程序完成对腐蚀信息的呈现。
      结果   该实验平台有效实现了对海洋大气盐雾腐蚀的加速模拟,以及复杂环境下的数据传输和远程监测。
      结论   基于异构网络的腐蚀加速实验平台的搭建,可为后续基于大数据、人工智能技术对腐蚀规律的研究以及海洋结构物结构件的腐蚀失效进行预测提供平台基础。

     

    Abstract:
      Objectives   The purpose of this paper is to explore the feasibility of applying heterogeneous network and internet of things (IoT) technology to the remote monitoring of offshore facilities.
      Methods   Therefore, this study proposes an experimental platform for the corrosion acceleration of IoT based on a heterogeneous network composed of a perception layer, network layer and application layer. The salt spray experiment method is adopted to realize the simulation of marine atmospheric corrosion on land, and the perception layer collects simulated corrosion environment data and corrosion effect data. Taking the characteristics of the offshore production environment and existing network transmission technology into consideration, the network layer completes the task of data transmission through the heterogeneous network composed by ZigBee, LoRa, WiFi and Ethernet. Finally, the corrosion information is completed via a web application in the application layer.
      Results   This experimental platform effectively simulates the acceleration of salt spray corrosion in an ocean atmosphere, as well as data transmission and remote monitoring in complex environments.
      Conclusions   The construction of a heterogeneous network-based corrosion acceleration experiment platform can provide a basis for follow-up research on corrosion laws based on big data and artificial intelligence technology in order to predict the corrosion failure of marine structures.

     

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