Data centre
Solution
DCWiz - Data Centre Solution
System Overview
Use Case Highlights
Risk Management
Lowering human errors risk by 70%
Capacity Management
Increase capacity utilisation by 2x
Dynamic Cooling Automation
Save up to 40% of cooling energy cost
Predictive Maintenance
Reduce up to 75% of all breakdowns
Cloud Platform
Data Hall Model
The data hall model is generated from pre-existing sensors can be used to generate training data in extreme IT scenarios that are not covered by the real data, capacity management, design validation, etc.
AI Engine
With the data set collected from the physical model, a data-driven deep model can be trained to capture the sophisticated relationship between IT and facility systems. This can be used to predict the future state of the data centre with the historical states.
Chiller Plant Model
The chiller plant model is also generated from pre-existing sensors can be used to generate training data in extreme environmental scenarios, optimise system for dynamic cooling, validate Green Mark metrics, etc.
Cloud3DView
A cloud AI platform for easy use of DCWiz for integration and development, via advanced AI engineering suite.
Life Cycle Management
Design
- Design Validation
- Risk Validation
- Change Validation
Build
- Green Mark Assessment
- Design-Build Verification
- Design “Flaws” Detection
Operate
- PUE Optimisation
- Thermal Risk Mitigation
- Cooling Cost Reduction
Maintain
- Performance Analysis
- Anomaly Detection
- Lifespan Prediction
