Cracking furnace is the key equipment in petrochemical industry. Optimization of cracking furnace status is very important to enhance benefits of ethylene plant. Since pyrolysis reaction mechanism is complex

the model of cracking furnace is difficult to obtain and the cracking furnace has frequent disturbances

and thus it is difficult to optimize the cracking furnace status with traditional optimal methods. In order to solve the problem that the model of cracking furnace is needed in its optimization and the traditional optimal methods lack adaptivity and anti-interference

the correlation integral optimal method is proposed in this paper. First

the operating parameters affecting the benefits of cracking furnace are analyzed

the appropriate operating variables are selected and the optimal objective function is constructed. Then

the historical database is established via the data of operating variables and optimal objective function. Finally

the cracking furnace status is optimized based on the iteration of correlation integral optimal method. The simulation results verify the effectiveness of the correlation integral optimal methods in cracking furnace optimization.