The wind river plot is a specialized visualization for sensor and telemetry data from the Wind River VxWorks ecosystem. It helps reliability engineers and embedded developers track behavior over time and identify anomalies in real time.
Teams use the wind river plot to correlate metrics such as CPU load, memory pressure, and task latency across safety critical devices. Clear labeling, time aligned axes, and configurable thresholds make it suitable for regulated industries including aerospace and industrial automation.
| Metric | Typical Range | Threshold Warning | Update Frequency |
|---|---|---|---|
| CPU Utilization | 10–95% | 85% | 1 Hz |
| Free Memory | 0–512 MB | 50 MB | 2 Hz |
| Task Latency | 0–200 ms | 150 ms | 4 Hz |
| Watchdog Resets | 0–10 per hour | 2 per hour | Event based |
Instrumentation Configuration
Proper instrumentation configuration aligns the wind river plot with VxWorks stream interfaces and tracing infrastructure. You route data from target agents to host visualization tools using standardized protocols.
Instrumentation taps into Wind Trace, RTP streams, and user defined probes. Each source maps to a channel in the plot so engineers can isolate noise from genuine drift.
Connection Settings
Set IP addresses, transport ports, and buffer sizes before enabling high frequency plotting. Stable links prevent frame loss during stress conditions.
Threshold Definition
Threshold definition turns raw telemetry into actionable alerts on the wind river plot. You configure bands for nominal, warning, and critical levels based on safety margins.
Use historical data to refine bands, and document justifications for regulatory audits. Adaptive thresholds can follow seasonal or operational patterns without manual retuning.
Severity Mapping
Map numeric ranges to severity colors so out of band conditions stand out instantly. Consistent severity mapping across plots reduces cognitive load during incident response.
Real Time Monitoring
Real time monitoring with the wind river plot gives operators a live view of field or lab behavior. Low latency rendering supports fast decisions during commissioning and fault isolation.
Pause and scrub controls let you replay recent events while preserving the live mode for ongoing observation. Overlay markers highlight when thresholds were crossed.
Data Retention Policies
Data retention policies define how long the wind river plot stores high resolution streams versus downsampled archives. Balanced retention keeps storage costs predictable while preserving forensic detail.
Configure rolling windows, disk quotas, and export jobs to back up critical sessions. Compliance rules may dictate minimum retention periods for regulated projects.
Operational Best Practices
- Validate time sources across devices to ensure accurate correlation on the wind river plot.
- Use descriptive channel names and consistent units for every metric stream.
- Schedule periodic reviews of thresholds using observed field data.
- Archive plot configurations alongside system baselines for audit readiness.
- Automate export of critical sessions for offline deeper analysis and regression checks.
FAQ
Reader questions
How do I configure the wind river plot to show task latency and memory together?
Add two channels, assign the latency data stream to the primary Y axis and memory to a secondary axis, then set distinct colors and thresholds for each metric.
Can the wind river plot trigger actions when thresholds are crossed?
Yes, you can link cross platform actions such as logging an event, capturing a trace buffer, or sending a network alert through the built event hooks.
Does the wind river plot support remote deployments with limited bandwidth?
Enable subsampling and compression in the stream configuration to reduce bandwidth while preserving trend visibility for monitoring and analysis.
How should I set warning thresholds for safety critical systems?
Derive warning levels from verified safety margins, validate them with fault injection tests, and keep documentation that links thresholds to requirements.