How can downtimes in robotic systems caused by cable wear be significantly reduced?
This was the exact challenge faced by a customer in the German mechanical engineering sector. The hosepack mounted on the robot was repeatedly subjected to mechanical stress, leading to frequent malfunctions and high maintenance costs.
The solution: an intelligent retraction unit equipped with displacement sensors, paired with a custom-developed carrier board for the Raspberry Pi Compute Module 4 (CM4) by esd electronics. This setup enables precise data acquisition, processing, and cloud-based analysis of sensor data – laying the foundation for predictive maintenance.
Our case study explores the technology behind this solution and the practical advantages it delivers to the end user.
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