See Problems Before They Escalate
Why It Matters
In complex systems, failure rarely arrives without warning.
It whispers first:
- A temperature drift
- A pressure spike
- A power trend
- A slow ramp
- A CPU bottleneck
If you can detect those early, you prevent:
- Wasted samples
- Damaged hardware
- Lost time
- Expensive repairs
Monitors turn passive logging into active awareness.
Performance Monitoring
Know What Your System Is Doing
Modern process control increasingly involves:
- Image processing
- AI/ML inference
- High-frequency logging
- Multi-stream data handling
That means your control PC becomes part of the experiment.
UnicornOne monitors:
- CPU usage
- RAM usage
- GPU utilization
- Disk I/O
- Network load
All logged into SQL and viewable in structured charts.
Why This Matters
When running heavy workloads:
- RHEED frame-by-frame inference
- Digital Twin simulations
- AI-assisted Workbooks
You can:
- Inspect performance trends
- Identify bottlenecks
- Detect memory leaks
- Refactor intelligently
The control system becomes inspectable.
Not opaque.
Watchdog
Structured Anomaly Detection
Logging shows history.
Watchdogs protect the present.
Users can configure rule-based watchdogs to monitor:
- Thermocouple breaks
- Pressure spikes
- Gauge dropout
- Unexpected RHEED intensity shifts
- Ramps not finishing on time
- Source power creep
- Unexpected valve behavior
When a rule is triggered:
- Immediate alert
- Structured log entry
- Context provided to Uni
Detection becomes instant.
Troubleshooting becomes informed.
Examples
Power creep on a source:
Could indicate high-impedance short circuit.
Ga creeping into a feedthrough.
BFM gauge signal present during “off” state:
Time to degas.
Or switch filament.
These are subtle signs.
They become obvious when structured.
Uni-Assisted Context
When a watchdog triggers, Uni can:
- Explain likely causes
- Suggest diagnostic steps
- Reference similar historical events
- Link to relevant logs
Not just an alarm.
A guided response.
The Beginning of Predictive Maintenance
Watchdogs are the first layer.
Over time, structured monitoring enables:
- Source lifetime tracking
- Shutter wear estimation
- Heater degradation modeling
- Gauge head health monitoring
- Consumable forecasting
- Predictive OPEX planning
Maintenance shifts from reactive to informed.
The Philosophy
Monitoring is not about alarms.
It is about awareness.
Performance monitoring protects computation.
Watchdogs protect process integrity.
Together, they create the foundation for predictive maintenance and intelligent operations.
Bizmuth 