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Yokogawa Edge Solutions // Global AI Platform

Isolated Edge Containers • Deep Learning AI Inference • Collaborative Information Server (CI Server)

Node: x1 Master AI Engine: Online Inference: 4.8ms ← Mission Control HUD
Active AI Models
3 Models
Cavitation, Soft Sensor, MPC
Inference Latency
4.8 ms
Real-time edge execution
Process Anomaly Risk
0.012
Nominal baseline (< 0.20)
Memory Footprint
192 MB
Ultra lightweight container
🧠 Deployed Edge AI & Analytics Microservices
AI Model Workload Model Architecture Target Process Input Rate Anomaly Confidence Execution State
process-cavitation-detector 1D-CNN Spectral Vibration Model Main Centrifugal Feed Pump P-101 1,000 samples/s 99.4% Normal Inference Active
distillation-virtual-analyzer LSTM Recurrent Soft Sensor Fractionator Column Purity Predictor 100 ms R² = 0.982 Inference Active
exasmoc-multivariable-mpc Model Predictive Control Solver 480V Power & Thermal Balance Matrix 500 ms Optimal (0 Constraints) Executing