Mechanical Lifting Process of Liquid Steel Metallurgy Collision System

Abstract

In the process of metallurgy steel mechanical lifting, lifting path is not planned in advance. Under the different path of lifting, lifting machinery and it's easy to have a collision. The use of traditional algorithm for metallurgical molten steel mechanical lifting, it is necessary to preset a complete mechanical lifting path to achieve mechanical lifting process of collision, without fully considering the randomness of lifting path random effects. In order to avoid the disadvantages of the traditional algorithm, this paper puts forward a kind of coordination control algorithm of the collision in the process of metallurgy steel mechanical lifting system. Rough set neural network model is established and the metallurgical molten steel mechanical lifting collision to deal with the noise signal, thereby to metallurgy steel mechanical collision operation to provide accurate basis. Use of coordinated control algorithm, can realize metallurgy steel mechanical lifting collision. The experimental results show that the algorithm presented in this paper for metallurgical molten steel mechanical lifting process of collision can reduce the collision rate of mechanical lifting, thus ensuring the safe operation of the machinery.