The Research Of Monitoring And Analysis Of Energy Consumption In The Ferroalloy Smelting Process

Ferroalloy enterprises are high energy consuming enterprises.The competence of company lies on the cost of product.The level of cost reflects the benefit of company.Energy consumption is a main repressible part. So the research of energy consumption helps to control the level of energy consuming of cost,reduce the cost and raise the competence of corporation.At present, to solve the problem of high energy consumption of Ferroalloy enterprises,we urgently need to address two issues:First, we can improve ferroalloy enterprise energy information management level and rationalize enterprise's means and methods of measurement. the second is to master scientific and effective means of analysis of energy consumption.This paper aims to study these investigate some factors influential to energy consumption system these two issues,by monitoring and analysis the Situation of energy consumption in ferroalloy enterprises.It helps to find out the regularity, clear the direction of energy saving companies,and provide the base of right decision of energy saving.In the first part,Combined with physical circumstance of Sinosteel Jilin Ferroalloy Co., Ltd.'s ferroalloy smelting production process,a energy consumption monitoring system has been designed base on the profibus,configuration software and ethernet network communication technology in this paper. The author expains the constitutions of the system, discusses the problems in realization of the system, and introduces the function of every module in details.This system realizes many functions,such as energy neasurement centralization management,real-time data monitor,historical inquiry, Trend curve, analysis of energy consumption,print statiscal report and so on. This work not only improves managing level of metallurgical enterprise energy information and improves labor productivity effectively but also establish. a good foundation for the following to the analysis of energy consumption and ensure the reliability of the data.In the second part, The main factors influencing the energy consumption in the smelting process of ferroalloy were quantitatively analyzed and were structured the Pareto order based on reliable data of the energy consumption monitoring.The scientific planning method was obtained. First, we established a energy consumption model of ferroalloy enterprise.Training of model energy consumption, three methods are applied, the first measure is the standard BP algorithm. the second is improved BP algorithm, the use of additional momentum method,adaptive learning rate method and LM algorithm Etc. to improve the BP algorithm.The third way is a synthetic arithmetic based on genetic algorithm (GA) and improved nerve network of BP algorithm (BP)which is called GA-BP algorithm. This measure makes use of excellent global searching ability of GA and fine learning ability of ANN.I use GA to optimize initial weights of neural network to design GA-BP algorithm. Meanwhile, in order to effectively improve the convergence rate of BP network, the use of LM algorithm as GA optimized BP network follow-up training.In a sense, local optimizing problemsand slow convergence,-which is widely existed in BP neural network model training, can be overcome.Testifying the three kind of algorithm above, applying MATLAB software to simulation and comparing these method. confirmed the GA-BP algorithm, the training speed, accuracy and generalization performance are superior to two other algorithms, so the process of establishing model of energy consumption analysis, we Select the synthetic arithmetic based on GA and the improved BP algorithm. Second,After establishing model of energy consumption analysis, the energy intensity of Jilin Ferroalloy Co., Ltd. Eight branch factories was analyzed by the method of intelligent analysis with statistical data. I made use of the characteristics of associative memory and speculation of trained neural network to identify and quantify the extent of which change of the main factors impact on the energy consumption in ferroalloy production. The main factors influencing the energy consumption in the smelting process of ferroalloy were quantitatively analyzed and were structured the Pareto order.The scientific planning method was obtained.The intelligent algorithm will provide essential foundation for seeking method of energy saving, drawing plan of energy saving and making decision of energy saving.