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Real-Time Monitoring & Diagnostic Solution for HVAC Systems

This presentation outlines a project by ECE Team 169 to enhance HVAC systems through a real-time monitoring and diagnostic solution. Key objectives include building upon previous designs by updating an HVAC diagnostic model, acquiring real-time data from building sensors, and developing failure-detection code. Sponsored by Qualtech Systems, the project uses TEAMS (Testability Engineering and Maintenance System) software to analyze system performance, detect failures, and provide actionable insights. It addresses challenges faced, lessons learned, and the overall project timeline and budget.

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Real-Time Monitoring & Diagnostic Solution for HVAC Systems

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  1. Real-time Monitoring and Diagnostic Solution for an HVAC System ECE Team 169 Anthony Bellantoni (EE) Greg Carmichael (EngrPhys) Joe Grassi (EE) Sponsored by: Qualtech Systems Inc. Advisor: ProfessorJohn Chandy

  2. Presentation Outline • Project Goals • Brief Explanation of Qualtech Systems, Inc. • Overview of TEAMS Software • HVAC Explanation • Updated and Completed Model • Overview of Detecting a Failure • Project Timeline & Budget • Project Limitations • Lessons Learned

  3. Project Goals •Fix & Build Upon Previous Incomplete Senior Design Project - Update Diagnostic HVAC Model for ITEB • Obtain real-time data from the building sensors - Develop Failure-Detection Code •Combine model and code to detect for faults in real-time.

  4. Qualtech Systems, Inc. •Located in East Hartford, Connecticut (Founded in 1993) • Provide advanced system health management, integrated diagnostics and telemaintenance • Works on any system • Helps improve equipment productivity •TEAMS - Testability Engineering and Maintenance System

  5. TEAMS • Testability Engineering and Maintenance System • Consists of Multiple Components • Designer • RDS • Remote Diagnostic Server • RT • “Real-Time” Data Collection http://tomgpalmer.com/wp-content/uploads/legacy-images/FLASH%20LIGHT.jpg

  6. TEAMS - Designer • Used to create a model of a system, including components with their respective test points • Can be used to model any complex system (e.g.-MRI, Car, Building, etc.)

  7. TEAMS - RDS • Online Server that connects all components of TEAMS software • Decides Which Component is Most Likely Failing From the Designer • Provides Possible Solutions during Manual Maintenance • Stores information gathered for future analyses

  8. TEAMS - RT • Provides Diagnostics in Real-Time • Connects Developed Code with Generated Sensor Values to RDS • Allows for constant connection

  9. What is HVAC? • Heating Ventilation and Air Conditioning • Processes Air in a Building, Vehicle, or Other Structure • Maximize Occupant(s) Comfort Of Enclosed Area • Range from “Central Air” in Residential Homes to Complex Multi-Building Systems

  10. ITE HVAC System • Basement (Heat Exchanger) • Tunnel to COGEN plant • Penthouse (Air Handler) • VAV (Variable Air Volume) • One For Each Room • Measured on Every Floor at Every Point in System

  11. ITE Penthouse Schematic

  12. VAV Schematic

  13. Procedure – ITEB Schematic

  14. 3rd Floor Schematics

  15. Procedure - Designer

  16. Last Year’s Designer Model

  17. Our Updated Designer Model

  18. Procedure - RDS

  19. RDS Photos

  20. Procedure – RT

  21. Procedure – Detecting Failures

  22. Failure Detection Code Process 1) Extract sensor values from text file and determine whether or not a failure is occurring 2) Export results file into TEAMS-RT 3) TEAMS-RT combines test results with our model and determines possible failure points

  23. How to Determine a Failure • Set threshold value for maximum deviation from set point • Cannot assume failure after one test • Initiate a counter to determine number of tests in a row that fail • If consecutive tests trend toward the set point, counter returns to 0 • If deviation from the set point is less than the maximum allowed, counter returns to 0 • If n tests in a row fail and do not approach set point, assume failure

  24. Failure-Detection Method Sensor 1 Extract sensor data from txt, determine if failure occurs, then store in either 'pass' or 'fail' txt file. Temperature Sensor 2 Export results to TEAMS-RT Humidity Sensor n

  25. Project Budget http://www.rosemarierealty.com/wp-content/uploads/2012/03/dreamstime_xs_17999966-300x300.jpg http://blog.outreach.com/wp-content/uploads/2011/09/Church-events-on-no-Budget.jpg http://static.seekingalpha.com/uploads/2009/3/4/saupload_mar04_09_bm.jpg http://i.crn.com/images/free_cloud_400.jpg

  26. Project Timeline

  27. Final Tasks • Connect our Failure Results with TEAMS RT • Connecting RT with RDS

  28. Project Limitations • Obtaining access to actual sensor valuesMaintenance cost/time value for each component • No access to maintenance costs held by UConn Facilities • Restricted to remote server for TEAMS

  29. Lessons Learned • TEAMS is capable of modeling large systems • Difficult for beginners and requires expert knowledge to build • HVAC systems are complex • Prepare for setbacks • Information from facilities • Remote server issues

  30. Questions ?

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