The use of multi agent system for monitoring and control of the smelting process in the mining metallurgical sector

This paper is focusing on the development of intelligent agent technology and application of that technology to the mining and metallurgical sector. We have shown how networks of communicating and cooperating intelligent software agents can be used to implement complex distributed systems. In the mining and metallurgical industries there are processes which cannot tolerate interruption, such as some sequential line chemical processes. Most of the time large production losses may occur due to voltage dips. Poor quality issues have been a major concern for the mine and metallurgical sectors. There is a need for equipment that supports production units to ride through the voltage dips so that the electrical networks are controllable and the voltage dips can be monitored. The paper proposes an application of the intelligent agent technology in creating an efficient data acquisition and expert fault tolerant system in the smelting process