Seattle Port - EDI

Port of Seattle – Critical Asset Monitoring Via IoT

The Port’s Aviation Maintenance (AVM) department partnered with Electronic Data, Inc. (EDI) to pursue a proof of concept project to utilize industry best practice IoT processes and technology. This project provides AVM with real-time information to optimize Preventive Maintenance (PM) routines, forecast potential failure points, and quickly identify failures, helping the department proactively deploy maintenance technicians to perform work on failing assets prior to an imminent breakdown occurring and/or respond to a failure prior to it becoming a customer service issue.

The primary objective for this pilot is to enable the proactive monitoring of real-time operating conditions of critical airport HVAC assets at this International Airport, capture lessons learned, and determine if IoT is a viable path forward to be implemented on a larger scale. The solution is designed to integrate seamlessly with the airport’s Maximo Enterprise Asset Management (EAM) system using Maximo’s Asset Performance Management (APM) tools for integrating IoT technologies.

Scope of Work Included:

Identification, definition and design of a pilot program for the following specific use cases:

  • Optimization of Air Handling Unit Filter Change Out PMs by monitoring differential pressure across filter elements.
  • Real-time condition monitoring of Air Handling Unit Fan Motors for temperature, voltage, and vibration to develop equipment profile, detect anomalies, and predict failures.
  • Real-time fluid detection at Air Handling Unit drainage locations to detect potential blockage and flooding situations prior to overflow.

EDI’s services included selection, design, installation and configuration of sensors and gateways to capture the required condition and performance data in real-time on the assets in the proof of concepts. This activity included selecting the appropriate hardware that would work within the operating context of the assets as well as meet the airports network security requirements. The solution included retro-fitted differential pressure, vibration, temperature, and water detection sensors connected to a network of gateways that used cellular communication to transmit data to the cloud for analysis and processing.

EDI’s services also included implementation and configuration of Maximo’s Asset Performance Management module, specifically, Asset Monitor and Asset Health to compile, visualize, and process the data acquired from the sensors, calculate Key Performance Indicators (KPIs) for the various use cases, and generate preventive or corrective work orders in Maximo in response to changing conditions.

A critical element of the pilot was the establishment of standard templates, policies, and procedures to expand the use of the IoT solution to other assets and additional use cases.