Term 232

Automated Leak Detection System Using AI

The Best Elevator Pitch Award

Project Type: Self-Initiated

Project Description

According to engineers from NWC (national water company) in Saudi Arabia, 50% of the water transported in Saudi is lost along the transportation process, mainly due to leaks. This poses a large economic loss, and material loss with many collateral consequences that follow due to leakage of water in unwanted areas. This project aims to detect leaks in cutting edge speed, using flowmeters and an AI algorithm, and has a optimization model to place flowmeters at positions that maximize distance between flowmeters in order to reduce their number, and as a result reduce cost.


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Project Team

Shehab Ahmed Shehab
Shehab Ahmed Shehab
Civil Engineering
Mohammad Yahya Alnajjar
Mohammad Yahya Alnajjar
Industrial & Systems Engg.
Meshari Abdulaziz Alfuraydi
Meshari Abdulaziz Alfuraydi
Chemical Engineering
Abdulmajeed Abdullah Aleissa
Abdulmajeed Abdullah Aleissa
Industrial & Systems Engg.
Maan Mohammad Alateeq
Maan Mohammad Alateeq
Chemical Engineering
Omar Kamal Alandijani
Omar Kamal Alandijani
Computer Science

Team Coach

Dr. Ismail Almaraj
Dr. Ismail Almaraj
Assistant Professor

Department of Industrial and Systems Engineering

Interdisciplinary Research Center for Smart Mobility and Logistics