№ 2(86)
24 april 2020 year
Rubric: Data protection Authors: Kychkin A., Deryabin A., Shestakova L., Vikentieva O. |
The paper considers applied scientific aspects of algorithmic and software design of cyber-physical building system (cyber-physical system, CPS). The building's CPS is a basic element of the Smart City IT architecture and represents a set of life support system control devices, communication and computing facilities integrated into the building, which are necessary and sufficient for the implementation of user services. In a building's cyberphysical system, all equipment and subsystems are integrated into a single ecosystem to improve comfort and safety, as well as to reduce operating costs and save resources. The paper investigates the requirements for the building's CPS software. Presented are groups of design patterns, which, in practice, does not only significantly reduce the time to program and configure the CPS elements of the building, but also increases the interoperability of developed information applications. Consideration is given to the algorithms of CPS software under the conditions of the Internet of Things (IoT) application. Using the proposed templates, software developers will be able to quickly form new services, quickly integrate and maintain them. The patterns presented in the study are most effective in the implementation of services to control indoor and outdoor lighting, power loads and electrical appliances, as well as systems such as heating, air conditioning, ventilation, security alarm, access control, water leakage control, audio and video equipment. CPS software architecture design templates can be in demand for manufacturers of systems and services of management of private or apartment houses, developers of software systems of automation of commercial real estate objects and state organizations, developers and administrators of software of industrial constructions, objects of agroindustrial complex. The research is carried out within the framework of the priority science development direction of the Perm branch of the National Research University Higher School of Economics "Research of control methods in cyber-physical systems".
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Currently, the fourth industrial revolution (Industrie 4.0) is taking place. Its distinctive features are permanent information revolution, industrial computerization, integration of Internet technologies with automated control systems for production, energy, transport, medicine, banking, home devices and security systems, etc. An important issue is the assessment of the security of cyber-physical objects, in particular the channels of data transmission systems, especially wireless ones, which can either jamming or transmit false data over them or intercept the transmitted data for further analysis. The goal of this article is to establish the relationship between the assessment of security of fire alarm systems based on fuzzy logic given in [6] and the values of the maximal Lyapunov exponent of transmitted signals of wireless fire alarm systems obtained as a result of modeling in [3]. The purpose of this article is to plot the relationship between the security estimates based on fuzzy logic given in [6] and the average values of the maximal Lyapunov exponent of transmitted signals of wireless fire alarm systems obtained as a result of modeling in [3]. As a result of the conducted research, it was found that the value of the maximal Lyapunov exponent increases with the increase in the security assessment based on fuzzy logic.
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The problem of creating highly efficient algorithms for identifying critical events as part of decision support procedures in technological management is considered. The article proposes an approach to increasing the power of the nonparametric Wilcoxon criterion for decision making in situations with violations in compared data samples of the type "vertical displacement" and "scale". The modified Wilcoxon criterion is considered as a tool for identifying deviations in the conduct of the technological process, which do not exceed the threshold values, but have a significant impact on the technical and economic indicators. The proposed method of identifying critical events using the modified Wilcoxon criterion makes it possible to determine both the fact of the presence of an event and, in a number of cases, their identification. The article proves that the power of the proposed modified Wilcoxon test does not deteriorate compared to the traditional Wilcoxon test. The problem of detecting significant deviations in the accounting of electricity consumption at the boundary point of the grid company and the consumer from the parameters established by contract is reviewed as an example. Electric meters supposed to be the information sources in this case. The data received from smart meters is usually represented in the form of so-called “load profiles”. The performed numerical experiments through the example of processing the credentials for the power consumption of one of the petrochemical industrial enterprises allowed testing the possibility of using the modified Wilcoxon criterion as part of an effective element of the algorithm for detecting critical events. Also, the problematic issues of inclusion of this module in the automated decision support system for technological management are identified and the corresponding software is proposed.
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№ 2(86)
24 april 2020 year
Rubric: Models and Methods Authors: Kornyushko V., Bogunova I., Kuznetsov A., Nikolaeva O., Panov A. |
The article discusses the development of information and algorithmic support for a system for optimizing the control of the synthesis of continuous active pharmaceutical ingredients (APIs) by the example of continuous synthesis of diphenhydramine from chlorine/ bromodiphenylmethane on microreactors. The methodological basis of the proposed development is a systematic implementation of the Quality-by-Design (QbD) principle at the stage of development of continuous synthesis of APIs. Information modeling of the synthesis of diphenhydramine in flow-type devices (microreactors) was carried out. The scheme of an intelligent information support system for the synthesis of diphenhydramine (diphenhydramine) has been developed. The developed intelligent system includes a block for the preparation of managerial decisions, which is intended to formulate on-line recommendations to a researcher conducting synthesis of finished dosage forms (SFF). The main task that is solved using this unit is to predict the quality index of the synthesis process and at the same time determine the critical values of the synthesis, which allows the researcher not to go beyond the given limits. The basis of both the prediction model of the quality assessment indicator and the critical parameters of the process are the ideas of regression analysis. An algorithm for constructing multi-feedback regression equations is presented. The constructed regression equations make it possible to formulate the optimization problem at the second stage, for the solution of which one of the modifications of the coordinate search for the optimum was chosen - the Hook - Jeeves algorithm. A generalized block diagram is presented, which reflects in its most general form an algorithm for optimizing research planning in the continuous synthesis of diphenhydramine. Some results of studies of the continuous synthesis of diphenhydramine on the eduFLOSYS microreactor system are considered. Chlorobenzohydrol and bromobenzohydrol were used as starting components.
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The relevance of the topic of this article is to solve the problems of designing rationally built databases for enterprises and to teach students of the University of Synergy, direction«Information Systems and Technologies», the correct design. The purpose of the study is to analyze the applied methodologies at the stage of a system analysis of the enterprise subject area, to develop algorithms for the operation of an expert system. A brief statement of the problem consists in analyzing the available expert systems on the market for similar purposes, identifying the main stages of the work of the created expert system for the automatic design of the enterprise database. Development of our own expert system is economically more profitable. The used methods are the methods of analysis and design IDEF0, DFD, IDEF1, IDEF3, methods of functional (structural) design, methods of object-oriented design. The obtained results are an expert system was developed in the RAD Delphi 7 programming environment that generates a database script in SQL according to a given verbal description of the subject area. The script allows you to create an enterprise database in any industrial DBMS, for example, MS SQL Server. When designing information systems for managing the activities of enterprises, firms, corporations, the correct organization of the storage of their data, the creation of an effective database based on relational industrial database management systems (DBMS), such as Microsoft SQL Server, Oracle, IBM DB2, Informix, MySQL, Firebird, etc., are of great importance.
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The relevance of the topic of this article is to solve the problems of organizing remote data warehouses for small newly founded enterprises that do not have the financial resources to create their own information infrastructure. The purpose of the study is to analyze the cloud computing technologies offered by the market from various software manufacturers and select from them the ones most suitable for a particular enterprise. A brief statement of the problem consists in analyzing the systems for organizing cloud data storages available on the market, determining their main characteristics, verifying the compliance of their relational data model, comparing them with traditional industrial DBMSs. Identify the advantages and disadvantages of cloud data storage. Designing an enterprise information system is with using cloud data storage. The used methods are systems analysis methods, SADT structural design methods, methods for constructing relational data models. The obtained results are a methodology has been developed for designing the information system of a small business using cloud storage from Microsoft SQL Azure. Cloud computing is currently one of the most popular areas of information technology development. The largest software companies: Microsoft, Amazon and Google pay special attention to cloud computing. Cloud computing usually refers to the ability of the user to obtain the necessary computing power on demand from the Internet, and the details of the implementation of these features are not important for the consumer. Of particular interest is the implementation of cloud computing for organizing corporate data warehouses and database management systems (DBMS).
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