Analysis on Ultrasonic Pipe Blockage Detector Robot

the field of robotics applications continues to advance. This dissertation addresses the computational challenges of robotic applications and translations of actions using sensors. One of the most challenging fields for robotics applications is pipeline-based applications which have become an indispensable part of life. Proactive monitoring and frequent inspections are critical in main training pipeline health. However, these tasks are highly expensive using traditional maintenance systems, knowing that pipeline systems can be largely deployed in an inaccessible and hazardous Environment. Thus, we propose a novel cost effective, scalable, customizable, an autonomous sensor-based robotic system, called SPRAM System (Sensor-based Autonomous Pipeline Monitoring Robotic System). It combines robot agent based technologies with sensing technologies for efficiently locating health related events and allows active and corrective monitoring and maintenance of the pipelines. Such distance measurement systems are available. These use various kinds of sensors and systems. Low cost and accuracy as well as speed is important in most of the applications. In this system, we describe such a measurement system which uses ultrasonic transmitter and receiver units mounted at a small distance between them. Ultrasonic sensors are also quite fast for most of the common applications.