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

2. Presentation Outline Project Goals Last Semester Accomplishments TEAMS Completed Designer Model Overview of Code Project Limitations Project Timeline Project Budget Wrapping Up Project

3. Overall Project Goals Update and complete HVAC Model - 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. Fall 2012 Completed and fixed HVAC model Met with facilities to ensure model was correct Main Limitation o No Real-time data  Hard to develop code

5. TEAMS Testability Engineering and Maintenance system Designer RDS o R emote Diagnostic Server SDK o Combines client to RDS http://tomgpalmer.com/wp-content/uploads/legacy-images/FLASH%20LIGHT.jpg

6. Procedure

8. 3rd Floor Schematics

12. Picture for RDS using mike (maintenance group) most likely 3 slides

13. RDS

14. C++ Coding Goals Extract sensor values from text file and determine whether or not a failure is occurring Save results to a text file Import results file into TEAMS-RT TEAMS-RT will combine code with our model and determine most probable failure point and associated test cost

15. How to determine a failure Set threshold value for maximum deviation from setpoint Cannot assume failure after one test Initiate a counter to count 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

16. How to arrange code, method 1 Advantages/Disadvantages + Code is simple - Harder to change n - Lots of files/messy Sensor 1 Sensor 2 Sensor n Combine all sensor code to one file and create an n-column text file with results Input results into TEAMS-RT

17. Method 2 Advantages/Disadvantages + Code is neat and easy to debug + Easy to change number of sensors - Coding is difficult Temperature Humidity One code file to extract results from n sensor files and output results into an n-column text file Input results into TEAMS-RT

18. Project Limitations Cost and time of each failure o Talked to facilities: do not have information Obtaining access to actual VAV sensor values

19. Project Timeline TaskSeptemberOctoberNovemberDecemberJanuaryFebruaryMarchApril Software access Schematics Research HVAC Update model Learn C++ Develop code Merge code and model Test and debug

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

21. Next Steps: Weekly Goals March 10 - March 16 Multiply our code to work for multiple VAVs Learn and Read TEAMS-SDK Manual Label possible reasons of failure for maintenance checks in TEAMS Designer March 17 - March 23 (Spring Break) Research associated pricing for each component (including maintenance) March 24 - March 31 Continue to debug and implement code Continue step-by-step instructions for maintenance fixes Add any found costs/maintenance pricing found into TEAMS Wrap up model + code April Contact Moises to check if model is complete Begin final presentation & report preparation Wrap up Entire project and present it

22. Questions ?