Preventing overheating in robotic arms through temperature trend analysis
This use case aims to proactively prevent overheating in robotic arm joints, which can lead to premature wear, component failure, and costly downtime. The system can identify patterns, predict potential overheating events, and trigger timely alerts for preventative maintenance or operational adjustments by analyzing temperature trends over time. This helps extend robotic arms' lifespans and ensure continuous, reliable operation.
Customer success
Apex Global reduces robotic arm joint replacement by 15% by proactively addressing overheating issues identified through temperature trend analysis.
Scenario
A robotics engineer is concerned about potential overheating issues in robotic arm joints, which could lead to premature wear or failures. They must analyze temperature trends to identify patterns and predict potential problems. The company could prevent overheating and related failures, improve reliability and lifespan of robotic arms, and early detection of potential maintenance needs.
Workflow
Task | Role | Action | Reference |
|---|---|---|---|
1 | Robotics Engineer | Configure the following parameters to set up the ML model data:
| |
2 | Robotics Engineer | Upload the ZIP file containing the pre-trained time series model. | |
3 | Robotics Engineer | Deploy the model to the relevant BMC Helix Edge nodes. | |
4 | Robotics Engineer | Optionally, configure events to trigger alerts if temperature trends rapidly increase or exceed predefined thresholds. |
Results
The system analyzes temperature trends and generates alerts for potentially problematic temperature increases, enabling proactive intervention.