Technology
Technology
How does AI-powered adaptive temperature control work? A deep dive into the technology behind arflo.
How It Works
Three simple steps from installation to continuous optimization
Data Collection
Our sensors continuously capture temperature, humidity, energy consumption, and system load. Data is transmitted to the edge device in real-time.
- Temperature & Humidity
- Energy Consumption
- System Load & Utilization
AI Analysis
Machine learning models analyze patterns and predict optimal cooling demand. The system continuously learns from historical data.
- Real-time Pattern Recognition
- Predictive Optimization
- Continuous Learning
Adaptive Control
Optimized control signals are sent to your cooling systems. Automatic adjustment of cooling performance in real-time – without manual intervention.
- Real-time Adjustment
- Seamless Integration
- Fail-safe Mechanisms
System Architecture
Flexible deployment options for maximum security and performance
Edge Deployment
All data processing occurs locally on an edge device in your infrastructure. Maximum data security and minimal latency.
100% Data Sovereignty
Your data never leaves your network
Real-time Performance
No cloud latency, response time <100ms
Offline Capable
Works without internet connection
Cloud-Assisted
Basic optimization runs locally, advanced analytics and model updates via secure cloud connection. Optimal for multi-site deployments.
Centralized Management
Dashboard for all locations
Advanced Analytics
Deeper insights through aggregated data
Automatic Updates
Model improvements without downtime
Seamless Integration
arflo works with your existing systems – no extensive retrofitting required
Supported Systems
HVAC Systems
Air conditioning, ventilation systems, cooling units
BMS/SCADA
Building Management Systems (Siemens, Honeywell, Johnson Controls)
Industrial Controls
PLCs, VFDs, DDC
Protocols & Interfaces
Modbus TCP/RTU
Industry automation standard
BACnet IP/MSTP
Building automation standard
OPC UA
Modern machine-to-machine communication
Operating logic, not a black box
arflo intentionally shares principles and decision flow without exposing proprietary model internals.
Observe
Observe
Continuously captures telemetry from cooling, environment, and load.
Evaluate
Evaluate
Prioritizes actions based on stability, efficiency, and operating constraints.
Control
Control
Applies control actions strictly within predefined guardrails.
Document
Document
Logs decisions transparently for operations teams and audits.
Safety guardrails
Control actions are limited to approved temperature, power, and operational boundaries.
On anomalies or failures, fail-safe fallback returns to your existing standard control.
Manual override remains available at any time.
Integration path
Phase 1
Assessment & baseline
Phase 2
Scoped pilot with guardrails
Phase 3
Controlled production rollout
Ready for Intelligent Cooling?
Let us analyze together how arflo can be integrated into your infrastructure.
Schedule Technical Discussion