Course Code: CB-04
Goal: Prepare Digital Twins for real-time operational monitoring and Auto-Commissioning by tagging objects and activating fault detection analytics.

Session Overview

Duration: 1 Hour
Format: Instructor-led (via Microsoft Teams or in-person)
Level: Intermediate (Ideal for commissioning engineers, system integrators, and field technicians)

Resources Provided:

• CUBE Box Tagging Protocol Guide
  
• Fault Detection Activation Best Practices
  
• Common Fault Triggers and Diagnostics Sheet
  
• Tagging and Normalization Protocols Overview

Learning Objectives

By the end of this session, participants will be able to:

• Apply tagging protocols for points such as Inputs, Outputs, and Calculated Points.
  
• Normalize point names and values across different manufacturers for consistency.
  
• Implement best practices for activating fault detection analytics.
  
• Review field examples of real fault triggers and diagnostics.

Session Agenda

CB4.1 Tagging Protocols for Points: Inputs, Outputs, Calculated Points

• Understanding Point Types:
  
• Explanation of different point types in BMS systems (Inputs, Outputs, and Calculated Points).
  
• Importance of tagging points for operational clarity and monitoring.
  
  
• Tagging Protocols:
  
• Overview of CUBE Box’s tagging protocols for various point types.
• Step-by-step guide to tagging points in CUBE Box, including naming conventions and best practices for consistency.

CB4.2 Normalizing Point Names and Values Across Different Manufacturers

• The Need for Normalization:
  
• The challenges of working with devices from multiple manufacturers that use different naming conventions.
  
• Why normalization is essential for smooth system integration and fault detection.
  
  
• Best Practices for Normalizing Names and Values:
  
• How to standardize point names and values to ensure consistency across systems.
• Techniques for handling discrepancies in point definitions between devices from different vendors.

CB4.3 Best Practices for Activating Fault Detection Analytics

• Overview of Fault Detection:
  
• What is fault detection and why it is critical for real-time system monitoring.
  
• How CUBE Box uses fault detection to identify operational issues before they escalate.
  
  
• Activating Fault Detection:
  
• Best practices for enabling and configuring fault detection analytics for various systems in CUBE Box.
  
• Key settings and thresholds to consider for accurate fault detection.

CB4.4 Field Examples: Reviewing Real Fault Triggers and Diagnostics

• Real Fault Examples:
  
• Review field examples of common fault triggers, such as sensor malfunctions, system misconfigurations, or environmental changes.
  
• Discuss how fault detection identifies and diagnoses these triggers in real-time.
  
  
• Fault Diagnostics:
  
• Understanding how CUBE Box presents diagnostics and actionable insights for resolving faults.
• How to interpret diagnostic information to make timely corrective actions.

Hands-On Preview (Optional if time allows)

• Tag a sample system’s Inputs, Outputs, and Calculated Points in CUBE Box.
  
• Normalize point names and values for a multi-vendor system.
  
• Activate fault detection and review a sample fault trigger and diagnostic report.

Post-Session Action Items

• Review your system’s point tagging to ensure it follows standard protocols.
  
• Normalize any inconsistent point names or values across your system.
  
• Activate fault detection analytics for critical systems and verify their effectiveness.
  
• Practice diagnosing real fault triggers in the system using CUBE Box diagnostic tools.

 Note: When scheduling, make sure to include this session code: CB-04.

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