USE CASE |
June 30, 2026
Indoor Air Quality System Health
Overview
Indoor air quality (IAQ) is critical for occupant comfort, health, and regulatory compliance in smart buildings. HVAC systems, ventilation units, and air handling equipment must operate efficiently to maintain optimal air conditions. TDK SensEI’s edgeRX™ enables predictive maintenance by continuously monitoring equipment health, using edge AI to detect issues early, and ensuring consistent air quality performance across the building.
Problem
Maintaining high air quality depends on the proper functioning of HVAC components such as fans, filters, dampers, and air handling units. Over time, these systems can degrade due to wear, contamination, or inefficiencies, leading to poor ventilation and increased energy usage. Traditional maintenance approaches often rely on scheduled filter changes or reactive fixes, which do not account for real-time system conditions.
Key challenges include:
- Degraded air quality due to underperforming fans, clogged filters, or airflow issues
- Higher energy costs caused by inefficient HVAC operation
- Lack of real-time visibility into system performance and air movement
- Reactive maintenance that misses early warning signs of equipment degradation
- Difficulty detecting early faults in rotating components like fans and motors
Modern AI-driven maintenance emphasizes continuous tracking of vibration, temperature, and operating behavior to identify equipment issues that impact air quality before they worsen.
Solution: edgeRX™ at the Edge
TDK SensEI’s edgeRX™ provides a complete machine health monitoring platform designed to support air quality reliability by ensuring HVAC components operate efficiently. It integrates smart sensors, edge computing, gateway connectivity, and AI analytics into a unified solution.
How edgeRX™ improves air quality system reliability:
- Continuous monitoring
Tracks vibration and temperature in fans, motors, and air handling systems - Edge AI analytics
Processes data locally for rapid detection of abnormal system behavior - Predictive insights
Identifies early signs of airflow inefficiencies, imbalance, and mechanical wear - Actionable alerts
Notifies maintenance teams to address issues before air quality is impacted
https://sensei.tdk.com/tdk-introduces-edgerx-the-future-of-industrial-machine-health-monitoring/ - Centralized visibility
Dashboards provide building-wide monitoring and trend analysis of HVAC performance - Scalable deployment
Supports monitoring across multiple floors, zones, or buildings via flexible connectivity
https://sensei.tdk.com/edgerx/
Expected Outcomes
Implementing edgeRX™ for air quality-related HVAC systems helps building operators maintain healthier indoor environments while improving efficiency and reliability.
Expected benefits include:
- Improved indoor air quality through consistent HVAC performance
- Reduced downtime by identifying equipment issues early
https://sensei.tdk.com/edgerx/ - Lower energy consumption by detecting inefficiencies in airflow and system operation
- Reduced maintenance costs via condition-based servicing
https://sensei.tdk.com/tdk-introduces-edgerx-the-future-of-industrial-machine-health-monitoring/ - Enhanced visibility and control over air handling systems across the building
Summary
TDK SensEI’s edgeRX™ enables predictive maintenance for smart building air quality by ensuring HVAC systems operate reliably and efficiently. Through continuous monitoring, edge AI analytics, and real-time alerts, edgeRX™ helps detect issues early, optimize system performance, and maintain healthy indoor environments for occupants.
