TECHNOLOGY

Hardware, control, data and AI create the moat together

Edge intelligence is not a PCB with compute. It is a site system that runs reliably, captures continuously, executes safely and improves its models over time.

EDGENEX / TECHNOLOGY04 MODULES
01

Industrial edge hardware

Power, isolation, I/O, communications, watchdogs and local storage are engineered for site reliability first.

  • Wide-input power, isolation and surge protection
  • Industrial communications and field I/O
  • Watchdogs, recovery and local buffering
  • Manufacturable, testable and traceable design
02

Protocols and deterministic control

Different devices become unified models while rules and state machines keep critical actions deterministic.

  • Modbus, CAN, MQTT and OCPP frameworks
  • Device templates and data-quality flags
  • Rules, state machines and strategy constraints
  • Offline autonomy, manual override and fallback
03

AI models and knowledge

Start with explainable diagnosis and forecasting, then move into constrained strategy optimization.

  • Anomaly detection and alarm classification
  • Demand, generation and charging forecasts
  • Root-cause analysis and operations knowledge
  • Multi-objective optimization and model evaluation
04

The data loop

Data quality, labels, versions and human feedback determine whether AI keeps creating value.

  • Unified time, units and sampling quality
  • Event labels, work orders and outcomes
  • Model versions, evaluation and replay
  • Customer authorization, privacy and access boundaries
PILOT / 01

Turn the first real site into a measurable intelligence loop

Start with the device list, point list and acceptance criteria for a clearly bounded pilot.

Start a pilot