Abstract:This method is mainly aimed at load analysis of grinding equipment such as semi-autogenous mill and ball mill in concentrator of non-ferrous metal industry. This method uses OPC technology to collect, process, analyze and store the real-time process data of grinding process by computer, and uses POS-BP algorithm to construct the soft-sensing model of grinding machine power, so as to realize on-line prediction and analysis of grinding machine power. Then, combined with case analysis technology, intelligent on-line analysis of grinding machine load is realized. This method can effectively reduce the number of belly swelling, increase the processing capacity of mill and the qualified rate of grinding particle size, and reduce the loss of lining plate and steel ball. The predicted value of this method can provide effective parameter basis for the advanced control of grinding process, such as optimization control, expert control and so on. It can improve grinding process from many aspects. To the operation efficiency of the whole mineral processing process, fundamentally improve the economic benefits of mining enterprises.