Study on the plant-wide modeling of gold hydrometallurgical process

In order to predict the production indices of gold hydrometallurgical process, such as the gold production, the leaching rate, the precipitation rate and the grade of gold mud, it is very necessary to establish an accurate plant-wide model of the gold hydrometallurgical process. A plant-wide mechanism model is proposed for description and analysis of the gold hydrometallurgical process in this paper, and the mean-square convergent particle swarm optimization (PSO) algorithm is applied for indentifing the main parameters of model. Simulation results indicate that the proposed model has a better prediction performance in gold hydrometallurgical process, and it lays an important model foundation for the plant-wide optimization and control of gold hydrometallurgical process.