卷 8, 编号 1 (2021)

The relevance and necessity of implementing measures to protect information in state information systems today is obvious both from the point of view of existing legislation, and from the point of view of the objective presence of a large number of threats of a very different nature. Protective measures should take into account such factors as the growth of the volume of processed information, the use of various data processing technologies, the multi-user nature of access to information resources, and the complexity of the modes of operation of technical means [Schneier, 2003]. Thus, ensuring information security is a complex of interrelated business processes of an organizational, legal and technical nature. The complexity of the processes of implementing security systems makes it necessary to perform the planning stage of this process, which is closely related to the need to develop a domain model. This determines the relevance of writing this work. The purpose of this article is to develop a set of models that describe the features of organizational, legal and technical processes that arise at the design stages of information security systems in state information systems. The methodological basis for writing the work is the normative legal acts of the FSTEC of Russia. A comparative analysis of possible methods of modeling the described subject area allowed us to determine the tools used. To describe the ongoing processes in the design of the information security system, the SADT functional graphical modeling methodology was used. Mathematical modeling methods were used to model the process of rational choice of information security tools. The result of the research presented in this paper is a set of models that describes the processes characteristic of the design stage of the information security system in state information systems.

The purpose of the research. The research is aimed at identifying the possibilities of using various modeling tools in the framework of the functioning of “smart” petrochemical production. To achieve the goal contributed to a number of tasks: to study the possibility of applying IDEF0 methodology in terms of building a “smart” production, to build the decomposition process, the introduction of new equipment in a “smart” the petrochemical industry in BPMN notation, to explore the specific neural network modeling and to develop a neural network model to predict energy consumption of petrochemical plants. Results. It is summarized that modeling is an integral element of the design and management of “smart” petrochemical production, provides process optimization, rationalization of the information and communication environment of the enterprise, energy saving, improving the quality of petrochemical products, production efficiency, reducing the negative impact on the environment; “smart” production should be accompanied by the development of a mechanism for digitalization of production processes, regulation of the algorithm for building cyberspace. We need an integrated approach to production modeling, which involves end-to-end data management at all stages of production, using various modeling methods, and consolidating the results of modeling in a single database, which serves as a relevant empirical basis for making rational management decisions. The study developed a scheme to enter the production assets to the smart production (BPMN notation), a flow of the process, taking into account the difficult situation related to the operation of production equipment; a logical and informational model of the formation of a “smart” petrochemical production (in the IDEF0 notation) is constructed, which takes into account the relationships between sub-processes and the potential effect, allowing for the development of instructions and methodological materials for the modernization of petrochemical production; A predictive model for regulating the level of energy consumption by petrochemical enterprises, depending on the costs of technological innovations and on the volume of polluting emissions generated by industrial enterprises, is proposed, based on training neural networks of different architectures and allowing, in accordance with the activation function of the hidden layer of the neural network, to identify trends in energy consumption.

The purpose of the research. The aim of the study is to develop approaches to solving the problems of optimizing the energy resources of chemical-technological systems based on statistical training. As the main research methods, the article uses graphical and tabular tools for descriptive data analysis to study the dynamics of the structure of energy carriers and determine possible reserves for reducing consumption; method of training neural networks to predict optimal values of energy consumption. Results. The article analyzes the current trends in the energy intensity of the cost of chemical production with an assessment of the degree of transformation of the structure of the energy portfolio and possible reserves for reducing the specific weight of electrical and thermal energy. The method of training neural articles using a regression predictive model was used to determine the minimum possible values of the parameter of energy resources consumption at the upper limit of the range, taking into account the limitations of the technological regulations for the production of chemicals and chemical products. The results of the study are applicable in the development of software complexes for intelligent energy systems, in the process of determining the cause-and-effect relationships of deviations in resource consumption from a given trajectory and the optimal vector of sustainable energy consumption.

The construction of the Large Solar Furnace in Uzbekistan made it possible to obtain materials with unique properties that are difficult or impossible to obtain in another way. In particular, ceramic materials have been developed that convert the energy of the primary source into pulsed infrared radiation with a controlled rise time of the pulse. At the same time, the slope of the rising edge of the pulse can be viewed as part of a sinusoid. Radiation appears, as it were, with a pseudo-wavelength. Our long-term research has shown that this wavelength can work as the main one. However, the effect of dualism is also manifested here. The carrier energy corresponds to the fundamental wavelength in the IR range, and the slope of the rising edge of the pulse affects only the selected processes. One of such applications of these materials is the creation of sterilizers that can perform deep, efficient and high-quality sterilization of various objects. This article is devoted to this very aspect of the application of functional ceramics synthesized under the action of concentrated solar radiation.