USE CASE |
June 30, 2026
Smart Building HVAC Systems
Overview
HVAC systems are the backbone of smart buildings, ensuring occupant comfort, air quality, and energy efficiency. However, failures in critical components such as fans, compressors, pumps, and motors can lead to downtime, increased energy consumption, and poor building performance. TDK SensEI’s edgeRX™ enables predictive maintenance by continuously monitoring HVAC equipment health using edge sensors, AI-driven analytics, and real-time alerts to optimize reliability and efficiency.
Problem
HVAC systems operate continuously under varying loads, making them prone to wear, imbalance, and inefficiencies over time. Traditional maintenance—typically reactive or schedule-based—often fails to detect early signs of degradation in rotating equipment and thermal systems.
Key challenges include:
- Unexpected equipment failures (fans, compressors, pumps) impacting building comfort and operations
- High energy costs due to inefficient system performance or undetected faults
- Limited visibility into real-time equipment condition across distributed building assets
- Reactive maintenance practices leading to higher repair costs and service disruptions
- Difficulty identifying early-stage issues such as vibration anomalies, overheating, or imbalance
Modern smart building strategies require continuous monitoring of vibration, temperature, and system behavior to detect issues early and maintain optimal performance.
Solution: edgeRX™ at the Edge
TDK SensEI’s edgeRX™ provides an end-to-end machine health monitoring platform designed for HVAC environments, combining smart sensors, edge AI processing, connectivity, and centralized visualization.
How edgeRX™ supports HVAC predictive maintenance:
- Continuous monitoring
Sensors collect vibration and temperature data from motors, fans, compressors, and pumps in real time. - Edge AI analytics
Data is processed locally, enabling fast detection of abnormal conditions without relying solely on cloud processing. - Predictive insights
AI/ML models identify patterns associated with wear, imbalance, or inefficiency before failures occur. - Actionable alerts
Maintenance teams receive real-time notifications to address issues proactively. - Centralized dashboard
Enables building-wide visibility, trend analysis, and performance benchmarking across HVAC assets. - Scalable deployment
Gateway connectivity (4G, Wi-Fi, BLE) supports monitoring across single or multiple building locations.
https://sensei.tdk.com/edgerx/
Expected Outcomes
With edgeRX™ deployed in HVAC systems, building operators can improve reliability, reduce energy costs, and enhance occupant experience through smarter maintenance practices.
Expected benefits include:
- Reduced downtime by identifying issues early in fans, motors, and compressors
https://sensei.tdk.com/edgerx/ - Improved energy efficiency through detection of abnormal operating conditions
- Lower maintenance costs by shifting from reactive to predictive servicing
https://sensei.tdk.com/tdk-introduces-edgerx-the-future-of-industrial-machine-health-monitoring/ - Enhanced system reliability and lifespan with continuous condition monitoring
- Better operational visibility with real-time alerts and historical trend analysis
Summary
TDK SensEI’s edgeRX™ brings predictive maintenance to smart building HVAC systems by combining continuous sensing, edge AI analytics, and centralized insights. By detecting early signs of equipment degradation and optimizing system performance, edgeRX™ helps building operators reduce energy consumption, improve reliability, and ensure consistent comfort and air quality.
