Analysis Of Logistics Inlfuence On Energy Consumption And Prediction Model For Comprehensive Energy Consumption Of Per Ton Steel

Energy consumption forecast is an important component to steel enterprise energy plans.Through the energy consumption forecast system not only can grasp the trend of energyconsumption, control energy store capacity, reduce the waste of energy, but also reduce thecost of steel production. It has very important significance to improve the marketcompetitiveness of metallurgy company product, economic benefit and the level of theinformation management.This study started from production units, through research on logistics balancerelationship of the production units and process, to get the law about the effect of variousproduct units on the energy consumption. Finally reduce the material consumption and energyconsumption by means of the logistics scheduling optimization. Based the actualmetallurgical enterprises process analysis; this paper discussed the key point of energy savingof enterprise alignment and offered scientific basis. Main works of this paper fall into threedifferent intersecting areas.(1) Apply hierarchy coloured petri net (HCPN) to creat steel energy system model, It iseffective to describe the complex steel manufacture system characteristics such as flexibility,simultaneity and hierarchy. Use CPN-Tools to create steelmaking process model and havecarried out the simulation. The research result of the steel energy system CPN model mayapply directly in the practical production scheduling control.(2) Fuzzy analytic hierarchy process (FAHP) is a practical system evaluation method.This paper developed comprehensive evaluation model of steel production energyconsumption factors using the relationship between fuzzy consistent matrix and the weights offactors, then sorted those influence factors of energy consumption by importance. It meetedthe requirements of the decision and got the optimal objective through simple calculation.(3) Establishe energy consumption forecasting model of the basic process and analyze theeffect of the specific factors on the energy consumption to realize the logistics schedulingoptimization. This paper combined genetic algorithm and wavelet transform to get waveletneural network energy consumption forecasting model based on genetic algorithm(GA-WNN). The actual application results show that, the approximation precision andconvergence speed are improved and the network structure is simplified to a great extent.