The forecasting system of agglomerate quality
Background. In the context of stringent requirements for product, one of the most important ways to improve sinter production is to increase the quality of management and forecasting. Materials and/or methods. The forecasting system of sinter quality includes the following functional subsystems: collection and processing of information, analysis and forecasting; support of reference and information fund, the exchange of information between the forecasting system and the servicing staff. In the subsystem of collecting and processing of information algorithms are implemented of fractal image compression of sinter cake fracture, collection and processing of input and output parameters for the creation of retrospective data bank on which basis the system will perform an analysis of technological information and generate a forecast. In the subsystem of analysis and forecasting methods and algorithms are used to determine the parameters of the charge sintering process, comprehensive quantitative indicators of process control parameters, analysis and prediction of the technological process of sinter production. As a result of these two subsystems work the arrays are formed of current integrated indicators of the process, their deviations from the specified values, and the current assessment of the charge sintering process. To reduce the amount of information stored in the database, a method is developed of storing the technological parameters of sinter production, based on a fractal image compression of sinter cake fracture and fractal approximation of data sets using a hash function. To predict the output of suitable sinter an adaptive Kohonen neural network is used, as more fully satisfying the demands and challenges of assessing the quality of sinter production. Results. A method is developed for storage of process parameters in the forecasting system of sinter quality, characterized by 3.7 times compression of variational data series based on fractal approximation; the method of processing parameters and forecasting of continuous charge sintering process, allowing a more accurate predictive of suitable sinter output at an early stage of the charge sintering process. Results of experimental studies confirm the reliability and efficiency of proposed algorithms of sinter quality forecasting system. Conclusion. Timely use of obtained information will allow predicting the course of the sintering process in time to prevent unwanted its development and take appropriate action to control charge sintering.