Title: Rule representation and a switchable pattern matching model for hot-rolled steel production scheduling system with rule engine

Authors: Yanguang Sun; Zhiqiang Geng; Jinxiang Chen; Jiachen Gu; Gang Sheng

Addresses: State Key Laboratory of Metallurgical Intelligent Manufacturing System, Automation Research and Design Institute of Metallurgical Industry Co., LTD, China Iron and Steel Research Institute Group, 100081, Beijing, China ' State Key Laboratory of Metallurgical Intelligent Manufacturing System, Automation Research and Design Institute of Metallurgical Industry Co., LTD, China Iron and Steel Research Institute Group, 100081, Beijing, China ' State Key Laboratory of Metallurgical Intelligent Manufacturing System, Automation Research and Design Institute of Metallurgical Industry Co., LTD, China Iron and Steel Research Institute Group, 100081, Beijing, China ' State Key Laboratory of Metallurgical Intelligent Manufacturing System, Automation Research and Design Institute of Metallurgical Industry Co., LTD, China Iron and Steel Research Institute Group, 100081, Beijing, China ' State Key Laboratory of Metallurgical Intelligent Manufacturing System, Automation Research and Design Institute of Metallurgical Industry Co., LTD, China Iron and Steel Research Institute Group, 100081, Beijing, China

Abstract: Rule representation and a switchable pattern matching model for hot-rolled steel production (HRSP) scheduling system with rule engine are presented in this paper. Six features of scheduling rules for HRSP are described by mathematical models, respectively, which help to construct the rule engine of HRSP scheduling system. A pattern matching model switched between decision pattern network (DPN) and Rete module is presented to solve the complex and changeable problems of scheduling rules. The above approaches are verified by applying a dataset from a steel plant. The results show that the proposed approaches greatly improve the flexibility and responsiveness of HRSP scheduling system with rule engine.

Keywords: rule engine; pattern matching model; scheduling rule representation; hot-rolled steel production; HRSP.

DOI: 10.1504/IJSPM.2024.146025

International Journal of Simulation and Process Modelling, 2024 Vol.21 No.4, pp.264 - 274

Received: 21 Sep 2024
Accepted: 10 Jan 2025
Published online: 01 May 2025 *

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