To enhance the safety and reliability of urban buried water supply networks, this study developed a monitoring and early warning system based on wireless transmission networks and Internet of Things (IoT) technology. Through numerical simulations, the structural tilt warning thresholds for ductile iron pipes were determined. Additionally, in conjunction with meteorological data, monitoring pore water pressure serves as a supplementary indicator for detecting potential pipeline leakage. This study further analyzed pipeline strength warning thresholds based on strength theory. In practical engineering applications, the proposed system enables real-time monitoring of the operational status, service environment, and structural integrity of buried water supply networks. Data analysis revealed the influence mechanisms of backfill soil conditions, daily operations, and third-party construction activities on the structural behavior and stress state of water supply pipelines. Results indicate that during the initial backfilling phase, uneven backfilling and soil settlement induce significant variations in pipeline tilt angle and stress distribution. Furthermore, longitudinal stress in the pipeline exhibits a strong correlation with ambient temperature fluctuations, with a pronounced increase observed during colder months. Notably, third-party construction activities were identified as a major contributor to pipeline anomalies, with all recorded early warnings in this study being attributed to such external interferences.

Urban water supply networks are crucial for the transportation of water resources. However, with the increasing frequency and severity of cold wave disasters linked to climate change, the impact on water supply systems has become a critical concern. These impacts include pipe failures, customer water outages, and challenges in meeting peak winter water demand. To address this, our study analyzes data from cold waves in Shanghai from late 2020 to early 2021. We statistically examined daily water supply volume, pressure, and pipe failures to detect abnormal changes. We also analyzed pipe failure rates based on different characteristics to identify which pipes are most vulnerable to cold wave damage. Understanding the winter cold wave's effects can help water companies prioritize maintenance on aging pipes before such events, reducing damage and improving service. This research adds to the understanding of climate change's impact on urban infrastructure and provides valuable insights for global water companies to optimize their maintenance strategies.