Model knowledge matching algorithm for steelmaking casting scheduling. (2018)

• Record Type: Journal Article
• Authors: Jiang, Guozhang; Chen, Xiaowu; Li, Xiaoyong; Xiang, Feng; Li, Gongfa
• Is Part Of: International journal of wireless and mobile computing. Volume 15:Number 3(2018)
• Page Start: 215
• Page End: 222
• Publication Date: 2018
• Subjects: steelmaking casting -- scheduling model -- knowledge representation -- model matching; Mobile computing -- Periodicals; Wireless communication systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 1741-1084

Abstract

The scheduling model matching of steelmaking casting is a critical process in steel production scheduling. At present, few studies have concentrated on the common feature about the production scheduling model. Applying model matching and knowledge representation to steel production scheduling is rarely reported. In order to meet the increasingly complex production requirements and the time precision control of the intelligent scheduling, the object-oriented knowledge representation method is used to represent the scheduling model and the disturbance events in steelmaking casting process. A model knowledge component and a disturbance events knowledge framework are established in the paper. A distance algorithm and Euclidean distance are used to calculate the matching degree between the model and the disturbance events. A set of examples are analysed, the result shows that the algorithm can quickly match the steelmaking casting scheduling model and the disturbance events, and improve the accuracy and efficiency of the model matching.