Sintering Blending Optimize The Design And Application Based On Swarm Intelligence Optimization Algorithm

Currently, with the increasing pressure on global resources and the environment, while expanding the scale of production, reducing costs and increasing efficiency has become increasingly a major concern of the iron and steel enterprises. Sintering is one process of the steel production, the sintering production requires a lot iron ores and a huge cost. With the steady decline of the domestic iron ore resources and the changing of imported iron ore, the steel enterprises must make a corresponding adjustment of the ratio of the ingredients of iron ores. In the case of satisfying the requirements of iron making, find ways to reduce the cost of the ingredients has a very important meaning to steel enterprises.In this paper, Analysis the characteristics of the process of sintering burdening. Based on study the process of sintering burdening, established ingredients optimization mathematical model based on the principle of the "material conservation". The mathematical model consists of a total cost of ingredients and chemical composition of constraint conditions, to ensure that the chemical composition and metallurgical properties of sinter production requirements. In the optimization method, this paper presents improved particle swarm algorithm optimization method and hybrid optimization algorithm combining improved particle swarm optimization and ant colony algorithm. Firstly, for the lack of standard particle swarm algorithm, consider that the inertia weight of the particle swarm algorithm a great influence on the particle swarm algorithm, the inertia weight should continue to decrease with the increase of iteration times. In this paper introducing the adjustment function which was evolved by cauchy distribution function, dynamically adjustment inertia weight according to the number of iterations, in this, In the early particle swarm algorithm search can maintain a larger value a long time to improve search efficiency and lately in the search can maintain a smaller value a long time to improve search accuracy. Secondly, in order to pursue the lower production costs, this paper design a hybrid optimization algorithm for the problem of inadequate post-search precision of a single particle swarm algorithm. Hybrid algorithm is able to play the advantages of the two algorithms to achieve complementary advantage, the simulation results show that this method can better solve the ingredients optimization problem.In order to this method is applied to actual production and convenient operation staff to using, this paper uses visual programming techniques, ADO database interface technology and object-oriented technology finished the optimization model of sintering ingredients optimization system. The system is running on Windows XP system stability and can be able to achieve the ingredients inventory management of raw materials, ingredient optimization, the ingredients historical data management functions. This system interface is friendly and easy to operate with a strong practical and versatile, also very suitable for the use of engineering and technical personnel.