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

Case Studies

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