Development and Application of a Fully Automatic Coke Reaction and Index(CRI)and Coke Strength after Reaction(CSR)System
Coke,as an important fuel in blast furnace metallurgy,has an important impact on the smelting conditions,iron yield and cost of the blast furnace in terms of CRI and CSR.The traditional coke reactivity and CSR testing process usually relies on manual operation in the laboratory,which is time-consuming and susceptible to human interference.In order to reduce the interference of human factors and improve the detection efficiency and accuracy,this thesis proposes a fully automated coke reactivity and post-reaction strength detection method based on vision,robotics and other automation technologies,and introduces its application in the metallurgical industry.