Our application can be used in coal and non-coal boilers to predict unburned carbon in a boiler ‎irrelevant to the type of fuel, using image processing. Different fossil fuels would have dissimilar ‎behavioral aspects compared to coal, and our solution can handle such parameters. The process ‎can be monitored remotely on handhelds and desktops, laptops, and tablets using our system.  The ‎workflow is divided into two parts,  image processing model and furnace model. The Image ‎processing unit calculates the temperature distribution of combustion flames. The Furnace model ‎calculates the dynamics of the carbon reduction from the burner stages to the furnace outlet using ‎coal feed rate, airflow rate, and the chemical and ash content of the coal. ‎

The system can measure the adjustable variables of boilers, the composition of the flue gas and the ‎flames, and display them on a monitor to determine the state of combustion for the operator. Also, ‎using the image processing technique, the flame temperature is measured, and it is used in ‎obtaining the amount of radiant energy and subsequently determining the intensity of combustion ‎and oxygen concentration inside the flame to reduce the maximum harmful environmental gases. ‎

The hardware component is the Cameras to capture the flame, which has to be purchased by the ‎client.  Processing servers are cloud-based. However, local servers can be installed if required. ‎Local servers (or sub cloud servers) can reduce latency and increase scalability.

3 keys toward thermal efficiency