IoT AHU Automation: 12% Energy Savings, 608x Fault Detection Improvement (Leading Airport Operator)

@Faclon Team

October 16, 2025

2min read

About the Company

A major multinational conglomerate with over $100 billion in revenue and $80 billion market cap as of 2024, specializing in infrastructure management and operations. The organization manages 7 airports across multiple regions through 10 business verticals spanning transportation hubs, industrial facilities, and real estate development. With over 43,000 employees across all business verticals, the company focuses on modernizing legacy infrastructure using cutting-edge technology to improve operational efficiency and customer experience while maintaining its position as a leading infrastructure operator.

Problem Statement

Critical surveillance and safety challenges in hazardous chemical operations

Manual operation inefficiencies Time-consuming physical AHU power-ups and shutdowns across sprawling airport facilities causing delays and human error risks
Energy optimization gaps Significant energy wastage from delayed AHU operations and lack of weather-based intelligence leading to suboptimal performance
Limited fault visibility AHU troubleshooting and anomaly detection only occurred during manual operator checks approximately once per shift, causing extended downtime
Ambient control variability Difficulty maintaining optimal conditions based on fluctuating occupancy levels linked to flight schedules and varying space utilization patterns
Operational resource strain Heavy manpower dependency for HVAC management reducing team efficiency and increasing operational costs

How Faclon Solved the Problem

I/O Vision: No-code computer vision platform for comprehensive AI-enabled surveillance:

Acquire

Deployed AHU sensor data aggregation system with wireless data transmission via IoT gateways for 76 critical air handling units

Analyze

Implemented real-time AHU efficiency monitoring, fault detection, thermal input analysis, and VFD operation assessment with automated benchmarking

Alert

Configured proactive SMS and email notifications with algorithmic inference generation providing health score assessments and anomaly detection

Automate

Integrated intelligent cyclical automation of AHUs with scheduling capabilities and smart actuator controls for chilled water valves and VFD modulation

Platform Integration

Connected all units through I/O Sense Cloud platform with comprehensive performance dashboards, control interfaces, and automated report generation

Advanced Architecture

Established connectivity between AHU controllers, IoT gateways, temperature sensors, VFDs, and motorized valves for complete system automation

The Outcome

Transformational results across key performance indicators:

12% energy consumption improvement

Significant optimization in AHU energy usage through intelligent automation and ambient-based control

608x productivity gains

Dramatic improvement in fault detection and resolution capabilities compared to manual inspection methods

3 hours saved per shift

Substantial labor efficiency gains equivalent to half a year's worth of man-days saved per AHU through automated operations

Real-time fault visibility

Complete transformation from once-per-shift manual checks to continuous monitoring with instant alert capabilities

Automated scheduling success

Seamless transition from manual physical operations to standalone scheduled automation and remote AHU controlling

Enhanced passenger experience

Consistent ambient conditions maintained across all critical airport areas with proactive response to occupancy variations

Behind the Scenes

Technical implementation and strategic considerations for this deployment

System architecture design

IoT gateway connectivity with AHU controllers enabling remote parameter collection and control capabilities with cloud platform integration

Sensor integration strategy

Deployment of return air temperature/RH sensors, supply air temperature/RH sensors, and chilled water temperature sensors for comprehensive thermal monitoring

Automation logic implementation

Controller receives live inputs from sensors and gateways to automatically adjust blower VFDs and chilled water valves based on setpoint requirements

Platform customization approach

I/O Sense platform configured with performance overview dashboards, individual AHU control interfaces, scheduling tools, and trend analysis capabilities

Alert and reporting framework

Multi-channel notification system via SMS/email for VFD faults, thermal issues, and overconsumption with automated report generation for stakeholders

Scalability and deployment methodology

Modular implementation across 76 AHUs with no-code dashboard creation tools, administrative management features, and user allocation systems ensuring enterprise-wide adoption

TESTIMONIAL

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