A New Approach to Design and Development of In-Pipe Inspection Robots

Abstract

This research introduces a cutting-edge, expandable in-pipe inspection robot with Internet of Things (IoT) capabilities. The robot has been specifically developed to investigate and identify common issues that impede fluid flow within various pipe systems, including but not limited to corrosion, fissures, and blockages. The study meticulously encompasses the design, assembly, and rigorous testing of a prototype robot, particularly emphasizing its adaptability to accommodate varying inner diameters of pipes. The IoT-based robot, leveraging various intelligent sensors and sophisticated camera systems, offers comprehensive, real-time insight into pipe conditions under diverse environmental and operational variables. The IoT system, integral to the design, enables real-time data collection, analysis, and transmission, further facilitating predictive maintenance strategies and remote inspection capabilities. This technological innovation marks a significant stride in pipeline inspection methodologies, effectively extending the lifespan of pipeline infrastructure and fostering economic efficiency by reducing substantial repair and replacement costs. The integration of IoT makes the system particularly suited to the current needs of the industry, enabling data-driven decision-making processes. The proposed robot is not just a valuable tool for those engaged in pipeline maintenance and inspection but also catalyzes further advancements within this scientific domain. The empirical findings from the various test scenarios validate the robot's remarkable accuracy, reliability, and adaptability, emphasizing its potential as a scalable and robust solution to modern pipeline inspection challenges.