We built an algorithm to detect the average particle size of coal, moisture levels, and grade (Grading mix of coal) in fluidized bed combustion boilers for ensuring good efficiency of operations and reliability of these boilers.

Impact:

• Real-time size detection and distribution of coal particles to avoid large particles going into the boiler.
• Real-time indication and calibrated analysis on moisture level.
• Color analysis (Grading mix of coal) in real-time and automated alerts for any deviation from the ideal profile for immediate redressal by the plant operators.