Факультет цифрових технологій та автоматизації виробництва
Постійне посилання на розділhttps://dspace.mipolytech.education/handle/mip/11
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Документ Intelligence Analysis Method of Automation Control System Archive Database for controlling Hot Blast Stove Block(CEUR Workshop Proceedings, 2020) Koyfman, O. O.; Simkin, O. I.; Serdiuk, K.; Сімкін, О. І.; Койфман, О. О.In automated process control systems the data from the archive data-base are used in most cases in a graphic form for analyzing the technological process history. Frequently, the controlling of а hot blast stove block occurs in the conditions of incomplete information. The method of data mining of the ar-chive database was developed and implemented in the form of computer pro-grams to obtain new interconnections between the main technological parame-ters of the blast air heating process in a hot blast stove block. The developed al-gorithm allows to determine the functional dependence of the base parameter on two other parameters with fixing the third parameter in a certain range. The ob-tained analytical dependencies allow us to make decisions about changes in control algorithms for a hot blast stove block.Документ Using of Intelligence Analysis of Technological Parameters Database for Implementation of Control Subsystem of Hot Blast Stoves Block ACS(CEUR Workshop Proceedings, 2021) Koyfman, O. O.; Simkin, O. I.; Klimov, Ye. G.; Scherbakov, S.; Сімкін, О. І.; Койфман, О. О.One of the main trends in the development of automation control systems of blast-furnace production units is the use of the intelligence analysis of the data in order to identify new dependencies between technological parameters. In automated control of the heating of the hot blast stove checkerwork, its thermal state depending on the different duration of mode switching and heat loss to the environment is not taken into account. The goal of the work is the application of the intelligence analysis of technological information from a database about the state of the hot blast stove during the periods of its switching from mode to mode for timely adjustment of the set values of parameters in controlling of the hot blast heating. An algorithm and program have been developed for extracting from the archive database the values of the parameters of technological process of heating the hot blast to analyze the states of the hot blast stove when it switches from mode to mode. The structure of an automatic control system for hot blast stoves block using the subsystem of the intelligence analysis of the data has been proposed, it is based on the algorithm with the capability to adjust the operating modes of the block. The application of the proposed intelligence analysis algorithm in the automatic control system will allow to increase the hot blast temperature without significant capital investments in the reconstruction of the hot blast stoves block.