Identification of defect types in liquid pipelines for classification and computing severity thereof

US11790518B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Jayavardhana Rama Gubbi Lakshminarasimha · Kanchinakote, IN
• Mahesh Rangarajan · Bengaluru, IN
• Rishin Raj · Bengaluru, IN
• Vishnu HARIHARAN ANAND · Kanchinakote, IN
• Vishal Bajpai · Kanchinakote, IN
• Vishwa Chethan Dandenahalli Venkatappa · Kanchinakote, IN
• Pradeep Kumar Mishra · Hyderabad, IN
• Gourav Singh Jat · Kanchinakote, IN
• Meghala Mani · Kanchinakote, IN
• Gangadhar Shankarappa · Kanchinakote, IN
• Dinesh Sasidharan Nair · Kanchinakote, IN
• Shashank Lipate · Kanchinakote, IN
• Vineet Lall · Kanchinakote, IN
• Kavita Sara Mathew · Kanchinakote, IN
• Karthik Seemakurthy · Kanchinakote, IN
• Balamuralidhar Purushothaman · Kanchinakote, IN

Key dates

• Filing date: Jun 24, 2021
• Grant date: Oct 17, 2023
• Expiry date: Mar 9, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/10016
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.