Recent advances and applications towards intelligent operation and maintenance of urban pipeline networks

Abstract

As typical lifeline engineering systems, urban pipeline networks (UPNs) play an important role in transmission and distribution of materials or energies in modern society. Over the past years, many efforts have been devoted to the research, development and application towards intelligent operation and maintenance of UPNs in Tongji University, incorporating with the emerging artificial intelligence (AI)-based and internet of things (IoT)-based technologies. This paper presents a review on the recent advances and the important achievements pertaining to this field in Tongji University. Using multi-source data, a data-driven model for the comprehensive risk evaluation of the whole pipeline network is briefly introduced to address the limitation of the insufficiency of reliable data and demonstrated by a case study. Aiming at three major safety problems such as structural failure, leak and third-party intrusion, the advances in techniques and systems for health monitoring of urban pipelines are summarized and the various application scenarios are illustrated as well.