An artificial intelligence system developed by an Omani engineering student to predict water pipeline failures is set to be showcased on the global stage. The project, named ThermoLeak AI, grew from a university hackathon concept into a technology with the potential to address critical water management challenges, earning its creator a spot at the 67th London International Youth Science Forum (LIYSF).
Quick Facts
- Innovation: ThermoLeak AI, a predictive system for water pipeline failures.
- Founder: Rashid Al Shekaili, a GUtech engineering student.
- Milestone: Representing Oman at the LIYSF in London.
From Hackathon Win to International Showcase
ThermoLeak AI was developed by Rashid Al Shekaili, a third-year Mechanical Engineering student at the German University of Technology in Oman (GUtech). The system uses AI to continuously monitor water pipelines, identify early warning signs of potential failures, and alert operators before a leak occurs.
The idea first took shape during the Tahadi Mustdam Hackathon, organized by the British Council, where Al Shekaili’s team secured first place for their smart pipeline inspection concept. This initial success led to a trip to Edinburgh to represent Oman at an international youth event.
“That experience stayed with me,” Al Shekaili said. “I kept developing the idea and refining it through various competitions and exhibitions over the course of a year until it evolved into what it is today.”
Shifting from Reactive to Predictive Monitoring
Unlike conventional systems that detect leaks only after they happen, ThermoLeak AI analyzes subtle changes in pipeline conditions that signal emerging faults. This proactive approach aims to significantly reduce water loss, a persistent issue for utilities managing extensive transmission networks.
The technology offers a shift from costly reactive repairs to predictive maintenance, improving efficiency and promoting sustainable water management. For a country like Oman, where water conservation is a strategic priority, the innovation could provide significant value to utilities and operators.
Al Shekaili noted that the development journey was defined by constant iteration. “The biggest challenge has been the iterative nature of the process. The idea went through many versions across multiple hackathons and competitions, and each time we had to rethink and reshape the concept,” he explained.
Data Collection Remains the Key Hurdle
While the concept has been refined, the primary operational challenge is now data acquisition.
“Currently, our main challenge is data collection, which is essential for improving the system’s accuracy and reliability,” Al Shekaili stated.
His participation in the LIYSF from July 19 to August 1 is expected to provide valuable exposure to global research methodologies that could help advance the project.
“I am looking forward to being surrounded by young scientists and innovators from across the globe, learning how similar challenges are being approached elsewhere and bringing those insights back to my own work,” he added.
About ThermoLeak AI
ThermoLeak AI is an artificial intelligence-powered system designed for the predictive monitoring of water transmission pipelines. It analyzes operational data to detect early warning indicators of potential failures, allowing for preventative maintenance to reduce water loss and improve the efficiency of water distribution networks.
Source: Muscat Daily
