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Real-time Monitoring and Diagnostic Solution for an HVAC System

Real-time Monitoring and Diagnostic Solution for an HVAC System. ECE Team 169 Anthony Bellatoni (EE) Greg Carmichael (EPhys) Joe Grassi (EE) Sponsored by: Qualtech Systems Inc. Advisor: John Chandy. Presentation Outline. • Project Goals • ITE HVAC schematic • TEAMS

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Real-time Monitoring and Diagnostic Solution for an HVAC System

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

  2. Presentation Outline • Project Goals • ITE HVAC schematic • TEAMS • Previous Model • Updated Model • What our code will do • Limitations • Project Timeline • Project Budget • Next steps

  3. Project Goals • Previous Senior Design Project –Developed Partial Diagnostic Model of the ITEB HVAC System • Develop C++ program extract and analyze real-time data from the building sensors • Combine model and code to detect for faults in real-time.

  4. TEAMS • Designer • Model that maps failures • RDS • Remote Diagnostic Server • RT • Real-time • KB • knowledge base http://tomgpalmer.com/wp-content/uploads/legacy-images/FLASH%20LIGHT.jpg

  5. 3rd Floor Schematics

  6. Procedure

  7. Code • Data Sensor values stored into text file • Run data through C++ coding to determine if failure occurs • TEAMS-RT combines code with model to generate where failures occur and best possible solution

  8. Project Limitations • HVAC is a complicated Mechanical system • Many possible failures could occur • Difficult to model every minor failure • Cost and Time of each failure • Sensor values are on protected server • Need to obtain access

  9. Project Timeline

  10. Project Budget http://static.seekingalpha.com/uploads/2009/3/4/saupload_mar04_09_bm.jpg 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://i.crn.com/images/free_cloud_400.jpg

  11. Next Steps • Obtain Real-Time Data from Sensors • Working with Professor Laurent Michel & Professor Peter Luh • Biggest Limitation • Begin & implement code development • Associate weighted time and cost of testing each component • Test and Debug completed project

  12. Questions ?

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