基于超声波的油气管道缺陷智能检测机器人设计

Design of Robotic Defects Intelligent Detection Robot Based on Ultrasonic

传统人工长时间进行手工超声波探伤,检测效率和准确率会随工作时间的延长而降低至50%,且不能进行高空检测。因此该系统提出一种将电磁吸附爬壁机器人与超声波探伤相结合的设计方案。实验结果表明,机器人能够快速高效地长时间工作,对管道中所存在的缺陷进行高效检测且准确率一直保持在98%左右。

Traditional manual ultrasonic flaw detection for a long time, the detection efficiency and accuracy will be reduced to 50% with the exten- sion of working hours, and cannot be detected at high altitude. Therefore, this system proposes a design scheme that combines electromag- netic wall-climbing robots with ultrasonic flaw detection. The experimental results show that the robot can work quickly and efficiently for a long time. It can effectively detect the defects existing in the pipeline and the accuracy rate is maintained at about 98%.