Software development for diagnostics of deviation type of blast furnace from normal mode

Considered the task of creating software to diagnose deviations from normal mode to blast smelting is solved on the basis of a study of the practical experience of melting specialists from Magnitogorsk Iron and Steel Works. Usually approach to solve such problems is to create expert systems on the basis of various signs giving advice on keeping the melting. However, since the blast smelting process has enormous complexity, many issues are still unresolved. Among them the task of diagnosis progress of blast furnace to identify deviations from the normal mode with an aim to timely take measures to eliminate the causes of disorders of the furnace smelting process. To accomplish this, a mathematical model was created, which was presented in earlier works. Concerning this article, here is a description of the process of creating software based on above-mentioned mathematical model. The developed software analyzes the operation of the furnace by parameters such as the temperature of the peripheral gas, flue gas temperature, blast furnace gas and the pressure drops and the temperature distribution on the furnace top diameter and composition of blast furnace products. Based on these parameters, the calculation is performed, which resulted in a conclusion about the state of the furnace in case of deviation - about possible reason for disturbances of melting process. Software development is performed on already well-established methodology. In this case, the first step is functional modeling. Relying on the principle of decomposition, it allows you to split the task into manageable lots of smaller tasks and to begin addressing them. Developed functional model contains 90 blocks on 3 levels of decomposition. The next step is to describe the architecture of the software under development. According to this description, the software consists of two blocks: data processing unit, using the module for communicate with the database, gets preprocessed data set, then calculates it using the above-mentioned mathematical model. The result is displayed in the unit that present information, which is able to present these results in various forms. During creating a software, modern development tools are used. Software implementation based on .NET technology. The application was developed using C# language in the development environment Microsoft Visual Studio 2012. The resulting software allows quickly identify deviations from normal (including disturbances of the thermal conditions, disturbances of the gas stream and disturbance of charge descent), and identify the probability of their occurrence, as well as able to indicate possible ways to restoring the required operating mode of the blast furnace.

Keywords

Authors

References