Digital Twin and AI Algorithms
SynaOS 2.0 is built on digital twins and AI algorithms to create a virtual mapping of real assets on the cloud platform, enabling real-time visualization of equipment status, calculable behavior, and predictable risks.
Device and System-Level Digital Twin
The cloud-based platform constructs multi-level digital twin models for energy storage, power stations, PCS, BMS, loads, and other assets, providing real-time mapping of operational status and energy flow.
AI-Powered Intelligent Operation and Maintenance (AIOps)
Leveraging operational data, alerts, and historical behavior, the system automatically identifies anomaly patterns, predicts fault risks in advance, and reduces unplanned downtime.
Performance and Lifecycle Prediction
It continuously evaluates equipment efficiency degradation, capacity changes, and health status, supporting refined operation and maintenance as well as asset decision-making.