AI-Driven Predictive Diagnostics: Elevating HVAC Reliability and Efficiency with Edge Intelligence

Session details:

This keynote delves into how next-generation HVAC systems are leveraging edge AI and machine learning to proactively detect and predict faults—transforming traditional maintenance into a smarter, data-driven process. Through a case study of a real-world deployment, learn how integrating vibration, temperature, and electrical sensing with embedded intelligence minimizes downtime, improves energy efficiency, and supports sustainability goals. Attendees will discover actionable methodologies for sensor selection, algorithm customization, and seamless integration into modern HVAC solutions fueling the advancement of smart buildings and industry.

Format :
Keynote
Tags:
Smart Buildings , Sustainablility
Track:
Embedded AI
Level:
Intermediate