Conceptual Design of Inspection Robot Automatic Multimodal Sensor Based for Detection Oil and Gas Pipeline Damage

Abstract

Oil and gas pipeline inspection need system accurate, adaptive, and secure detection for identify damage without stop flow fluid. Limitations single sensor approach in coverage and sensitivity detection has push development robot inspection system multimodal sensor- based research This designing architecture conceptual inspection robot automatic with integrate visual camera, ultrasonic, thermography infrared, and acoustic sensors in configuration crawler- equipped modular level data fusion feature for produce more detection comprehensive. Design results show that superiority performance system sourced from integration between subsystems, not just the number of sensors used. Multimodal integration is proven increase diagnostic accuracy through characteristics of interconnected sensors complement, although demand efficiency processing, temporal synchronization, and fault-tolerance in order to support performance real-time. This design give runway strategic for development prototype and implementation in industry oil and gas as solution inspection non-shutdown as well as supporters maintenance predictive with level greater safety and reliability tall.