Intelligent operation parameters optimization of coke calcination rotary kiln

Aimed at the low quality of the product and low recovery rate of coke calcinations in rotary kiln, an intelligent optimization operations system for coke calcinations rotary kiln is presented to stabilize the temperature in calcination zone in this paper. The key operation parameters in rotary kiln are optimized using improved case-based reasoning (CBR). The case searching and matching adopted the weighted k-nearest neighbor (KNN) approach. An adaptive particle swarm optimization (PSO) with mutation is applied to optimize the weighted vector of features and the number of nearest neighbors of the weighted k-nearest neighbor approach in case searching and matching. Moreover, the control strategies in feeding rate of the disc feeder and interlock protection strategy are introduced briefly. The running results show that the intelligent optimization operation system can efficiently stabilize the temperature at calcination zone and can enhance the feeding rate control accuracy. Moreover, it can improve the oke calcination ratio and the mean productivity of the calcined coke per day. It brings significant economic benefit and social benefits to the carbon plant and have a bright future and a wide market.