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Rockwell OptixEdgeβ„’ Custom Application Fabric

Closed Linux OS β€’ Isolated Edge Microservices β€’ Local Predictive Maintenance & Bandwidth Reduction

Node: x1 Master Edge Microservices: 4 Running Bandwidth Saved: 82.4% ← Mission Control HUD
Edge Microservices
4 Active
Isolated Docker containers
Bandwidth Reduction
82.4%
Local pre-filtering of raw tags
Anomaly Risk Score
0.04
Nominal baseline (< 0.20)
FFT Vibration Peak
58.4 Hz
Fundamental motor harmonic
πŸ”¬ Local Edge Predictive Maintenance & Filtering Microservices
Container Application Predictive Functionality Sampling Rate Raw Input Rate Filtered Output Rate Operational Status
vibration-fft-analyzer Fast Fourier Transform (FFT) on 10kHz motor vibration to detect bearing race spalling before catastrophic lockup. 10,000 Hz 10,000 samples/s 10 metrics/s (99.9% saved) Executing
thermal-runaway-guard Kalman-filter tracking correlation between current draw (kW) vs stator temperature (Β°C) to flag coil breakdown. 100 ms 10 samples/s Alerts only (0 anomalies) Executing
data-compression-dedup Deadband thresholding eliminating redundant stationary readings before cloud and historian transmission. 50 ms 2,800 tags/s 490 tags/s (82.5% saved) Executing
cip-threat-sanitizer Deep inspection of CIP EtherNet/IP packet payloads preventing malformed setpoint overrides and injection attacks. Line-rate 3,900 pkts/s 0 unauthorized writes Shielded