Our Client is one of the top 20 global agrochemical sales companies and a top 500 manufacturing company in China. It has production plants in Asia, America, Africa and other places, and the products are sold in dozens of countries and regions around the world.
Our core team use AI establishes a boiler combustion optimization model, adjusts key parameters, increases the amount of coal burned, and helps customers solve the problems of low coal combustion efficiency and unstable production.
Relying on manual experience, big gap between different workers’ results;
Insufficient steam production capacity and large fluctuations.
We establish a unit steam consumption prediction model and boiler combustion optimization model to realize the identification of the key factors of the combustion process and optimization of the combustion parameters.
After optimization, coal combustion is reduced by 2%
Achieved a significant reduction in standard coal consumption per ton of steam