Intelligent Optimization Method And System For The Design Of Plate And Slab In Hot Rolled Medium Steel Plate

Medium steel plate is an important steel product widely used in downstream industries such as infrastructure construction,construction machinery and shipbuilding.The diversification of downstream industries makes the market orders of medium steel plates have the characteristics of multiple specifications,multiple varieties and small batches,which is not conducive to giving full play to the advantages of low-cost and large-scale manufacturing of iron and steel enterprises.By combining a large number of small batch orders onto a number of rolling mother plates and selecting suitable slab specifications for the mother plate,a medium-thick slab that can be mass-produced in large quantities can be formed,so that the production capacity of large-scale equipment of iron and steel enterprises can be fully utilized,the generation of surplus materials without orders can be reduced,and the purpose of responding quickly to orders,improving customer satisfaction and competitiveness of enterprises can be achieved.The paper is oriented to the design of plate and slabs for medium steel plates.The main contents are as follows:(1)The problem of storage slab design of medium steel plate is studied.The paper considers the sub-plate combination constraint,storage slab specification constraints,etc.,and establishes a mixed integer programming model with the goal of minimizing matching surplus materials.The model solving is divided into two stages: the order and stock slab pre-processing,order sub-plate combination optimization.And a heuristic algorithm based on expert experience is proposed.The test results show that compared with the manual design method,the matching residual material rate of the storage plate design algorithm proposed by the paper is reduced by 1.67% on average.(2)The problem of steelmaking plate and slab design for medium steel plate is studied.The paper considers the non-fixed order sub-plate specification and the flexibility of the mother plate specification and the uncertainty of the multi-section selection of the mother plate,and establishes a mixed integer programming model with the minimum of the surplus materials on the mother plate.The model is divided into three stages: order preprocessing,mother plate design and slab design.In the stage of mother plate design,the order sub-plate combination problem is attributed to the multi-knapsack problem,and a heuristic algorithm based on expert experience and knapsack problem is proposed.According to the uncertainty of the steelmaking plate and slab design problems,the improvement strategy is aimed at improving the quality of the mother plate design.The test data shows that compared with the manual design method,the yield rate of the steelmaking plate and slab design algorithm proposed by the paper is increased by 0.37% on average,and the residual material rate is decreased by 0.92% on average.(3)Aiming at the actual needs of the design of plate and slab design of medium steel plate in a middle steel enterprise in China,the "automatic plate and slab design system" is designed and developed,and the models and algorithms proposed in the paper are embedded in the system.Not only does the system quickly provide optimized design results,but it also allows for quick adjustments to design results based on production needs.The system has now achieved complete information integration with the existing production management system of a domestic steel company,and has already been put into online operation in the steel enterprise,and the operation effect has reached the expected target.The test of the model and algorithm proposed by the thesis and the online application of the system show that the proposed algorithm can effectively reduce the surplus material rate of the plate and slab design,improve the product yield,and the automatic plate,and the automatic board and slab design system can provide technical support for steel enterprises to achieve large-scale customized production.The system can also provide a reference for designing and developing decision support systems of other processes.