The multiparameter control of blast-furnace coke quality using instruments with neuronet organization

In the article problems of linked multiparameter control of blast-furnace coke quality are described and the solution of the control task on low level of industrial control is noticed. Application of high-reliable microcontrollers implementing the neuronet approximation algorithm enables the creation of independent instruments intended for the simultaneous control of coke ash content, apparent density and humidity in a storage bunker.