Osama Rizwan

Academic

Career

Verbatim text

Smart Boiler: System Analyzer Using IOT and Sensing Faults 
Boilers are an integral part of every major industry. Their role in facilitating our life's is enormous, 
they make industrial process easy. Boilers applications are not only limited to power generation 
plants, factories but also present in food chain restaurants as well. 
If left unchecked / unmonitored; they can cause damages ranging from downtime which leads to 
decrease in efficiency and increase in prices of product, to even blow up the whole factory which 
often cost human lives and infrastructure. 
 Boiler maintenance Involve 3rd Party services. 
 Maintenance cost anywhere from $150 to $1,000 or even more.  
 Require more manpower; minimum 2 hours to even days. 
 Company has no previous data base. 
 Repeated maintenance decrease efficiency. 
To counter these issues, we came up with a brilliant idea to do faults analysis using IOT solution 
such as database building of boiler, applying Machine Learning to predict the health of boiler and to 
make data accessible all around the globe. This will increase efficiency, reliability and reduce 
downtime of boilers present in industries / factories. 
We will measure:  
 Temperature 
 Boiler water level 
 Pressure 
 
 
 
 
Technology Used: 
 
Statistics and Machine Learning Toolbox,  
MATLAB, Arduino, Proteus. 
Supervisor Name: 
Engr. Shehzad Ahmed 
Group Members: 
Ali Gohar (i17 - 0544) 
                                                                                                                                   Osama Rizwan (i17 - 0541)