Augmented Reality for Enhanced Fault Diagnosis of Robotic Welding Cell
摘要
With the emergence of Industry 4.0, often known as the fourth industrial revolution, the notion of “Smart Factories” has gained momentum. One of the prominent applications of Industry 4.0 is the robotic welding cell, which revolutionizes the welding process by automating it with the help of robots and advanced data-driven systems. A robotic welding cell is a specialized production setup that employs industrial robots outfitted with welding instruments to execute precise and efficient welding operations, this saves manual labor, increases production, and assuring constant quality. With the ever-increasing advancement in artificial intelligence and machine learning algorithms, there would be a significant increase in the adaptive and self-learning capabilities thus making the production process “Smart.” When combined with IoT, AR-IoT, opens avenues for remote monitoring and control of robotic welding cells. Sensor data from the welding cell, such as temperature, voltage, and current, can be collected in real-time and transmitted to a central monitoring system. Through AR interfaces, operators can access this data remotely, analyze it, and make informed decisions or adjustments to the welding process. Additionally, AR-IoT can facilitate predictive maintenance, as data-driven analytics and machine learning algorithms can identify potential equipment failures or maintenance requirements in advance, reducing downtime and improving overall equipment effectiveness. Data gathered in facilitation with AR are the next steps in the pipeline, resulting in Future Proactiveness, identification of emerging issues, and resolution.