Robotic leak detection and conditional assement of small diameter pipelines
Proceedings Publication Date
Presenter
Divanshu Kumar
Presenter
Author
Moinak Banerjee, Divanshu Kumar
Part of the proceedings of
Abstract

The demand for pipeline monitoring systems can be attributed to the increasing number of leakages in water pipelines, especially in the distribution channels due to inefficient management of the water assets. Currently, reactive measures are opted for instead of preventive measures, as very few technology solutions are available in the water pipeline management sector, and even though they are available, there is no data-driven approach to solve the problems efficiently.The need for technological intervention to solve this problem is of unquestionable need. Solutions that could work in the segment can be indigenously developed to address the problem of water loss & contamination in pipelines via robotics and digitization. One solution, developed by Solinas, is a complete technology solution where a crawler robot collects internal pipeline data and a AI powered cloud based data analytics dashboard performs a conditional assessment of data, thereby helping the customers make data-driven decisions. The remotely operated,  robotic vehicle carries several sensors and crawls inside the pipeline to conduct an endoscopy, identify various types of defects, and perform a conditional assessment of the pipeline. The smallest version of the crawler robot is named Endo 90 is Asia's 1st robot that can go into pipelines as small as 90mm. This has created a tremendous impact in several Indian cities and industries since water distribution networks are of sizes 90mm to 150mm.

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