Research on Remote Monitoring System for Corrosion of Buried Pipelines Based on the Internet of Things (IoT)
To address the issues of high cost, poor timeliness, and significant limitations in existing pipeline corrosion monitoring methods, this paper designs a remote buried pipeline corrosion monitoring system based on the four-layer architecture of the Internet of Things (IoT). The system consists of a cathodic protection potential collector, an alarm device, and a remote monitoring system, enabling real-time monitoring of pipeline corrosion and the transmission of alarm information. At the core of the system is the Siemens S7-200 SMART series PLC controller, equipped with an analog extension module for real-time data acquisition. Using a serial communication protocol, real-time data is uploaded to a cloud platform with a visual interface via the AMX-IOT-M301 IoT data acquisition gateway module, achieving dynamic data storage and regulation. The system was applied to a self-built experimental platform, where its communication stability, data accuracy, and Android client performance were tested. The real-time monitored data included a natural potential of 1.53V, an on-potential of 0.09V, and an off-potential of 0.33V. The communication success rate of the system exceeded 97%, and the data transmission error was within ±l %. All other system functions operated normally. The test results indicate that the system performs stably and reliably, achieving real-time remote monitoring of pipeline corrosion and providing a technical reference for future development of such monitoring systems.
Authors
- Mei‐Ling Feng (ORCID: https://orcid.org/0000-0003-2524-0994)
- Tianyi Ren (ORCID: https://orcid.org/0000-0002-0844-7072)
- Yu Tang (ORCID: https://orcid.org/0000-0003-1998-3521)
- Lihua Huang (ORCID: https://orcid.org/0000-0003-0768-2369)
Institutions
- China University of Petroleum, Beijing (CN)
Publication Details
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1109/citsc64390.2025.00142
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00