Real-time Monitoring and Diagnostic Solution for an HVAC System
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Transcript of Real-time Monitoring and Diagnostic Solution for an HVAC System
Real-time Monitoring and Diagnostic Solution for an HVAC System
ECE Team 169Anthony Bellantoni (EE)Greg Carmichael (EPhys)Joe Grassi (EE)
Sponsored by: Qualtech Systems Inc.Advisor: John Chandy
Presentation Outline
• Project Goals
• Last Semester Accomplishments
• TEAMS
• Completed Designer Model
• Overview of Code
• Project Limitations
• Project Timeline
• Project Budget
• Wrapping Up Project
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.
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
TEAMS
• Testability Engineering and Maintenance system
• Designer• RDS
o Remote Diagnostic Server• SDK
o Combines client to RDS
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Procedure
3rd Floor Schematics
Picture for RDS
using mike (maintenance group)
most likely 3 slides
RDS
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
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
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
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
Project Limitations
• Cost and time of each failureo Talked to facilities: do not have information
• Obtaining access to actual VAV sensor values
Project TimelineTask September October November December January February March April
Software access
Schematics
Research HVAC
Update model
Learn C++
Develop code
Merge code and model
Test and debug
Project Budget
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Next Steps: Weekly GoalsMarch 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
Questions
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