Design of a Monitoring and Rescheduling System for Steelmaking-Continuous Casting Production

doi:10.23940/ijpe.18.12.p17.30763086

Abstract

Abstract:

A monitoring and rescheduling system for steelmaking and continuous casting (SCC) production is studied with the consideration of three functions as simulation, monitoring, and rescheduling. To classify the knowledge and enhance knowledge reusability, modularity knowledge management is used in this system. In this system, the monitoring and rescheduling knowledge of the SCC production are organized into a two-level tree construction, and a combination of object-oriented and rule-based representations is applied. Moreover, based on the characteristics of monitored disturbances, we present two rescheduling methods named time adjustment and machine reassignment. The former is designed for disturbances with weak influence by utilizing reserved times and flexible factors in the SCC production. The latter reassigns machines based on unused capacities of machines to eliminate serious disturbances. Simulation results demonstrate the proposed rescheduling algorithms are feasible and effective, and the system has well real-time capability to maintain the stability and continuity of SCC production.

Key words: expert system, rescheduling, monitoring, steelmaking- continuous casting, local repair

Bailin Wang, Haifeng Wang, and Tieke Li. Design of a Monitoring and Rescheduling System for Steelmaking-Continuous Casting Production [J]. Int J Performability Eng, 2018, 14(12): 3076-3086.

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Figures/Tables 13

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References 15

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Class Name	Icon	Attributes
HEAT		Temperature; Component; Weight; Steel-Grade; Fine-Upper (upper bound of refining time); Fine-Lower(lower bound of refining time)
CONVERTER		Pd-States (processing status of the converter)
FINERY		Pd-States (processing status of the finery furnace)
CASTER		Pd-States (processing status of the continuous caster); Casting-Speed

Disturbance	Algorithm
Time variation	Time Adjustment
Machine fault	Duration <= Threshold (weak influence): Time Adjustment Duration > Threshold (serious influence): Machine Reassignment
Quality fluctuation	Time Adjustment (Process parameters should be adjusted in advance)

Cast	Heat	Steelmaking			Refining			Casting
Cast	Heat	st_ij	pt_ij	Machine	st_ij	pt_ij	Machine	st_ij	pt_ij	Machine
1	1	0	50	Converter-1	50	45	Finery-1	95	35	Caster-1
	2	30	50	Converter-2	80	45	Finery-2	130	35	Caster-1
	3	50	50	Converter-1	100	45	Finery-1	165	35	Caster-1
	4	75	50	Converter-3	145	45	Finery-1	200	35	Caster-1
	5	125	50	Converter-3	190	45	Finery-1	235	35	Caster-1
	6	175	50	Converter-3	225	45	Finery-3	270	35	Caster-1
2	7	30	45	Converter-3	100	40	Finery-3	140	35	Caster-2
	8	80	45	Converter-2	125	40	Finery-2	175	35	Caster-2
	9	115	45	Converter-1	165	40	Finery-2	210	35	Caster-2
	10	160	45	Converter-2	205	40	Finery-2	245	35	Caster-2
	11	215	35	Converter-2	250	30	Finery-2	280	40	Caster-2
	12	255	35	Converter-1	190	30	Finery-1	320	40	Caster-2
3	13	125	35	Converter-2	160	30	Finery-3	190	40	Caster-3
	14	160	35	Converter-1	195	30	Finery-3	230	40	Caster-3
	15	205	35	Converter-1	240	30	Finery-1	270	40	Caster-3
	16	225	45	Converter-3	270	40	Finery-3	310	30	Caster-3
	17	255	45	Converter-2	300	40	Finery-2	340	30	Caster-3
	18	285	45	Converter-3	330	40	Finery-3	370	30	Caster-3

Machine	Converter#1 for O_13,1
st	$s{{t}_{13,1}}=160$; $s{{t}_{14,1}}=195$; $s{{t}_{15,1}}=230$; $s{{t}_{62}}=255$; $s{{t}_{13,2}}=195$; $s{{t}_{14,2}}=230$; $s{{t}_{15,2}}=265$; $s{{t}_{23}}=131$; $s{{t}_{33}}=167$; $s{{t}_{43}}=203$; $s{{t}_{53}}=239$; $s{{t}_{62}}=275$; $s{{t}_{13,3}}=225$; $s{{t}_{14,3}}=265$; $s{{t}_{15,3}}=305$; $s{{t}_{16,3}}=345$; $s{{t}_{17,3}}=375$; $s{{t}_{18,3}}=405$
pt	$p{{t}_{62}}=20$; $p{{t}_{13}}=p{{t}_{23}}=p{{t}_{33}}=p{{t}_{43}}=p{{t}_{53}}=36$