DETECTION OF STRUCTURAL ANOMALIES IN A PIPELINE NETWORK

DE602020048382T2Active Publication Date: 2025-03-26UNIVERSITY OF ADELAIDE
0 Cites 0 Cited by

Patent Information

Application Number
DE602020048382
Authority / Receiving Office
DE · DE
Patent Type
Patents
Current Assignee / Owner
Priority Date
2019-04-24
Filing Date
2020-04-24
Publication Date
2025-03-26
Estimated Expiration
2040-04-24

AI Technical Summary

Technical Problem

Current methods for detecting structural anomalies in pipeline networks, such as cracks, are largely reactive and do not prevent uncontrolled water main breaks, leading to increased damage and operational challenges as infrastructure ages.

Method used

A system and method that process data signals from sensors to detect vibro-acoustic energy generated by fluid flow, analyzing power spectral density and frequency domain features to identify structural anomalies like cracks, leaks, or joint issues in real-time, using a combination of machine learning algorithms and signal processing techniques.

Benefits of technology

Enables proactive detection and localization of pipeline anomalies, reducing the likelihood of uncontrolled breaks and improving maintenance efficiency by identifying issues before they become major failures.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader
Need to check novelty before this filing date? Find Prior Art
No text content released.