Research On Intelligent Scheduling Of Steelmaking-Continuous Casting Process Based On Big Data Mining

Steelmaking-continuous casting process is a production process in which molten iron is first smelted into molten steel and then cast to form a steel plate.The tightness of the steelmaking-continuous casting transportation process directly determines the economic benefits and energy consumption of steel companies.The time connection logic of crown cranes,trolleys and production equipment in the steelmaking-continuous casting process is steelmaking scheduling.Steelmaking scheduling is mainly Including the static operation planning during normal production and the rearrangement of the plan under failure.At present,most of the steel-making and continuous casting process scheduling in China's steel-making enterprises mainly rely on on-site manual experience,but the steel-making and continuous casting process has complicated procedures,many equipments,and variable on-site environment.Manual scheduling often has low production efficiency and poor scheduling.The problem of compactness.Aiming at the problem that the steelmaking-continuous casting production process is not compact,this paper proposes a steelmaking-continuous casting intelligent scheduling method based on big data rule mining under the IoT positioning of cranes and trolleys.This method first forms historical production process data Scheduling decision table,using rough setalgorithm to mine process constraint rules,parallel calculation of static operation plan,based on genetic algorithm to optimize the plan re-operation mode under fault,mainly includes the following:(1)Mining of big data process constraints.First,based on the location and status information of the carrying equipment,loading equipment and production equipment obtained from the Internet of Things,stitching to form a "delivery equipment location + loading equipment location + production equipment status + operation record" scheduling decision table.The rough set algorithm is used to mine the decision table rules to obtain the process constraints such as the steel type's process path and the crane trolley transportation path,and to provide process constraint rules for planning and rearranging.(2)To implement the operation plan layout through the parallel backward push algorithm,first establish the topological graph of the process and station relationship of the steelmaking-continuous casting process,agree on the number of equipment,establish a multi-objective optimization model based on the continuous casting machine tundish plan,and reverse the time of the process path Work in parallel to prepare the operation plan and get the production operation plan of the smelting workshop.(3)Optimize the dynamic rearrangement scheduling problem and solve it using the backward genetic algorithm.In the genetic algorithm,the position of the furnace on the different equipment in the process is encoded by the genetic algorithm,and the genetic function is used to screen the genetic genes for the purpose of time optimization to obtain the optimal solution for each step.Finally,the scheme proposed in this paper is verified based on actual production data.The experimental results show that the scheme can quickly arrange the production plan,effectively optimize the rescheduling problem,and improve the production efficiency of the entire steelmaking process.