Development of pipeline rehabilitation robots and Swasth-AI
Principal Investigator
Prof. Prabhu Rajagopal
Objective
- Develop a robot for rehabilitation and cleaning of sewer pipelines above 600mm in diameter., Integration of the state-of-the-art inspection system., Design and development of a compact agitator and a suction system., Development of an AI-based algorithm for analyzing the pipeline data., Integration and hosting of the AI-based algorithm in the current Swasth platform
Description
- Due to the absence of an efficient cleaning system in the Indian market, human labor is required to clean sewer pipelines. Presently, the methods employed for detecting pilferage or leakages involve cumbersome trenching and manual searches, contributing to the lack of regular pipeline monitoring. Our objective is to address these challenges through technological intervention and robotic solutions. The solution would consist of a robotic cleaning system which helps in desilting the larger diameter sewer lines.
Impact
- Improve the quality of the sewer pipelines., Early detection of leaks and faults, the quality of sewer pipelines will be improved., Each month, the inspection positively impacts a minimum of 10,000 households in each city., Cost savings amount to approximately INR 10 lakhs per kilometer., Development of the robot is aimed at navigating and cleaning the larger sewer lines., The development and usage of AI-based SWASTH will facilitate data-driven decision-making.
Budget in Lakhs
65.00