Distributed
Intelligence
Moving intelligence from the cloud to the edge. A biological approach to industrial control where every component is an autonomous agent.
Live Simulation
Witness the difference. Compare a traditional PID controller against an AI Agent in real-time as they attempt to balance a volatile renewable energy load.
The Architecture
Instead of a single "brain" in the cloud, we deploy a nervous system.
1. Supervisory AI
The "Strategist". Lives in the cloud/server. Optimizes for long-term goals (profit, lifespan) and sends high-level directives to the edge.
2. Edge Controllers
The "Reflexes". Embedded directly on electrolyzers and compressors. They execute sub-second control to maintain stability and safety.
3. Reinforcement Learning
The "Training". Agents learn optimal policies in a simulated environment (the Digital Twin's new role) before deployment.
LIVE_STATUS
Autonomous Balancing Active
RESPONSE_TIME
12ms
Why It Wins
Speed
Reaction time to wind gusts, preventing safety shutdowns.
Resilience
System continues to operate even if the network goes down.
Efficiency
Optimization of electrolyzer stack degradation curves.
Scalability
Add more units without exponentially increasing computing load.