基于蚁群算法的加热炉作业计划研究与应用tr.pdfVIP

26 2 2011 2 Vol. 26 No. 2 Control and Decision Feb. 2011 : 1001-0920 (2011) 02-0297-06 , (110819) : . , . , , . . , , . , . : : TP273 : A Research and application based on ant colony algorithm for heating furnace scheduling CHEN You-wen, CHAI Tian-you (Key Laboratory of Process Industry Automation of Ministry of EducationNortheastern University Shenyang 110819China Correspondent CHEN You-wenE-mail cywjyg@126.com) Abstract: The scheduling of heating furnace has a direct impact on steel productivity in the steel rolling process. Because furnace is a complex industrial process, manual operations is still widely used in the furnace scheduling. For the manual scheduling of heat furnace in steel enterprises, a method for scheduling is proposed for furnace plan control. The scheduling system is established, which is suitable for normal and abnormal operating conditions. The system consists of some modules, including the production plan, the intelligence pre-handled process data, the tracking inside the furnace, the available furnace capacity parameter, the shortest possible date of operation plan and earliest due date of operation plan, the ant colony algorithm, the operation plan made in both the normal operating conditions and the abnormal operating conditions. Finally, heating rate and billet lot number are yielded by scheduling model for control on line. The proposed scheduling method is successfully applied to some steel plant and significant result is obtained. Key words: heating furnace; scheduling; shortest possible date; earliest due date; ant colony algorithm 1 , , ,