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Scalable and Modular robotic tools for pipeline inspection and repair

CORDIS · observation · Publication date unknown

etect leaks and, most importantly, measure corrosion based on coded excitation, an advanced technique that greatly improves Signal-to-Noise ratio, (4) A Decision Support System powered by Explainable Machine Learning algorithms incorporating a Multi-Criteria Decision Analysis framework for holistic planning of inspection and maintenance. The TUBERS solution will be validated in real water network pipelines operated by 3 of the most prominent water utility companies in the Netherlands. Once it reaches the market, our solution is poised to revolutionise inspection and repair of drinking water networks, providing the operators with powerful tools to eliminate waste, facilitating savings of an estimated 158GWh of energy and reduction of 79.000 tonnes of CO2 emissions within a 5-year period. Snake robot, Drinking Water, Inspection & Maintenance, Pipelines, Explainable Machine Learning, Ultrasonic Testing, Pipeline Inspection

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recordType

award

status

SIGNED

region

EU

value

2400141

unit

EUR