IoT-based Underground Pipeline Intelligent Operation and Maintenance System

Abstract

The underground pipeline network, as a crucial component of urban infrastructure, is essential for public services such as water supply, drainage, and natural gas. With the continuous development of urbanization, the scale and complexity of underground pipeline networks are also rapidly increasing. Nevertheless, the operation and maintenance methods for traditional pipeline network are inefficient and lack safety, making it urgent to introduce advanced technology to improve the management level. In this regard, an intelligent operation and maintenance system for underground pipeline networks based on the Internet of Things, which realizes real-time cyclic monitoring of pipeline operation status and data collection, is proposed in this study. The advantage of this system lies in the optimized utilization of resources, helping operations and maintenance personnel to allocate maintenance resources reasonably and reduce unnecessary maintenance costs through accurate data analysis. Meanwhile, its predictive maintenance function helps to prevent potential failures, improve the stability and reliability of the pipeline network, and timely discover safety hazards through real-time monitoring and predictive maintenance, reduce accidents, and improve the safety level of pipeline operation and maintenance.