Steelmaking-continuous casting production operation plan and real-time dispatching optimization method and system based on mixed intelligent optimization algorithm

An intelligent optimization algorithm and job planning technology, applied in the information field, can solve problems such as production equipment failure, low efficiency of production scheduling, lack of real-time supervision functions of production planning and scheduling in the manufacturing execution system, etc.

Inactive Publication Date: 2010-07-07
CHONGQING UNIV
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Problems solved by technology

[0003] At present, the steelmaking-continuous casting production operation planning and real-time scheduling of most domestic iron and steel enterprises still adopt manual compilation and manual telephone scheduling. In the production process, enterprises often face complex production environments such as urgent orders, production plan changes, and production equipment failures, which increase the difficulty of scheduling problems
At the same time, the manufacturing execution system of the enterprise lacks the real-time supervision function of production planning and scheduling. In case of abnormality, it lacks the function of abnormal early warning and automatic re-planning, making production operation planning and scheduling one of the bottlenecks of enterprise development.
[0004] Currently published patent applications, such as CN1556487A (a hierarchical coordination planning and scheduling method for iron and steel production) system is composed of a host computer and a lower computer, the upper computer is used to optimize the overall goal, and the lower computer assigns the optimization target, and the lower computer is based on On-site practice, optimize the production plan of each process, realize the connection between the overall and local goals through the upper and lower computers, and optimize the local goals. Optimal design; CN101105842A (method for real-time matching and dynamic scheduling of tapping plan in steel MES) realizes real-time matching and dynamic re-scheduling of tapping plan, after the error between operation plan and actual production performance reaches a certain threshold, the tapping plan model is Online adjustment and rescheduling, giving suggestions for production adjustments, and generating new tapping plans. The threshold selection of this invention has a great impact on performance. At the same time, its rescheduling is a suggestion for plan adjustments, and the automatic rearrangement of operation plans has not been realized.
CN1614618A (an on-line dynamic scheduling method for steelmaking and continuous casting production) provides an online dynamic scheduling method, through production real-time data and sc

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Embodiment Construction

[0040] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0041] The steelmaking-continuous casting production operation planning and real-time scheduling optimization method based on the hybrid intelligent optimization algorithm includes three parts: planning and scheduling production modeling, production operation planning and real-time scheduling, and a combination of genetic-ant colony hybrid intelligent optimization algorithm and time parallel sequence A library of hybrid intelligent optimization algorithms for extrapolation, see figure 1 .

[0042] In production modeling, you can create a new planning and scheduling object model, or open an existing production model file for rapid modeling. The planning and scheduling object model is composed of the production process stations and the production and transportation lines related to the process processes.

[0043] The planning and scheduling object model is th...

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Abstract

The invention provides a steelmaking-continuous casting production operation plan and a real-time dispatching optimization method and a system based on a mixed intelligent optimization algorithm. The method comprises the following steps: establishing a production operation plan and an original dispatching proposal by the mixed intelligent optimization algorithm according to a production batch plan; detecting the perturbation in the production process through the established real-time data and a human-computer interaction interface; adopting the mixed intelligent optimization algorithm for remaking the plan on operating plans and unoperated plans; classifying the main perturbation in the production process; and establishing processing mechanisms corresponding to each kind of perturbation. The invention provides the re-planning and re-dispatching functions under the condition of changed production environment, and brings convenience for dispatching personnel to regulate the dispatching proposals according to personnel experience. The method considers the possible conflicts between equipment and the furnace sequence during the generation of the production operation plan and the dispatching proposal, so the calculation results are feasible. Because of the real-time dispatching function, the model method has strong system self organization performance, good adaptability and good universality.

Description

technical field [0001] The invention belongs to the field of information technology and relates to an intelligent optimization algorithm, in particular to a steelmaking-continuous casting production operation planning and real-time scheduling optimization method and system based on a hybrid intelligent optimization algorithm. Background technique [0002] Steelmaking-continuous casting is a key process in steel production, and its production process has the characteristics of multiple, multi-level, multi-scale, open, nonlinear, far from equilibrium, dynamic and orderly complex systems. The steelmaking-continuous casting production operation plan is based on the production batch plan, takes the heat as the planning unit, and determines the processing path of the heat, as well as the station selection and operation time in each process under the constraints of the process and equipment. . Steelmaking-continuous casting production scheduling is to arrange the processing equipm...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q50/00G06Q10/06G06Q50/04
CPCY02P90/30
Inventor 郑忠高小强陈开朱道飞张涛
Owner CHONGQING UNIV
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