scholarly journals On the problem of information support of decision-making automation

2020 ◽  
Vol 15 (89) ◽  
pp. 62-72
Author(s):  
Oleg V. Tikhanychev ◽  
Keyword(s):  
Control Systems ◽  
Information Exchange ◽  
Fuzzy Classification ◽  
Information Support ◽  
Coding System ◽  
Automated Control ◽  
Normative Documents ◽  
Linguistic Support ◽  
Information Classification ◽  
The Future

For computer programs need a formalized information. As is known, automated control systems work only with formal information. The basis for the formalization of a system of information classification and coding. The use of formalized data allows users to work with software from the automated control systems. By increasing the size of the control systems and the number of used software, there is a problem of organization of information exchange. Normative documents recommend organizing information interaction through communication protocols. However, with the growing size of the control systems there is the problem of maintaining these protocols to date. Within the framework of the currently used "hard" coding system to solve the problem of updating the information exchange is not possible. The aim of the study is to find ways to solve the problem of interoperability based on other principles other than organizational ones. To solve this problem, the article formulates the formulation of the problem of ensuring interoperability in distributed multi-agent environments based on the methods of "fuzzy" classification and coding. To solve this problem, it is proposed to use in the automated decision support systems fundamentally new information and linguistic support on the basis of the methodology of "fuzzy classification". Practice shows the possibility of using algorithmic formalization methods in a cluster of systems that are not too critical to the input information. In the future, with the development of technology, the scope of the proposed approach can be expanded. In the future, this will make it possible to move from the organization of a potentially effective, but difficult to implement in practice, “Single Information Space” to a “unified information field”.

ANALYSIS AND MANAGEMENT OF RISKS, CONCERNED WITH INFORMATION SUPPORT OF HUMAN-MACHINE AUTOMATED CONTROL SYSTEMS, OPERATING IN REAL TIME

2016 ◽  
Vol 34 (2) ◽  
pp. 082-097
Author(s):  
Dmitrij Yu. Uchaev ◽  
◽  
Yurij M. Brumshteyn ◽  
Iskandar M. Azhmukhamedov ◽  
Oksana M. Knyazeva ◽  
...  
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Information Support ◽  
Automated Control

scholarly journals ІНТЕЛЕКТУАЛЬНІ СИСТЕМИ: ПРИНЦИП ЕВРИСТИЧНОЇ САМООРГАНІЗАЦІЇ

2020 ◽  
pp. 4-16
Author(s):  
Серій Ілліч Доценко
Keyword(s):  
Control Systems ◽  
Intelligent Systems ◽  
Production Control ◽  
Self Organization ◽  
Automated Control ◽  
Intellectual System ◽  
The Future ◽  
Production Control Systems ◽  
Characteristic Features ◽  
Theory Of Functional Systems

The purpose of this study is to compare methods of self-organization for two forms of cybernetic systems, namely: intelligent systems based on the theory of functional systems, as organized whole; automated control systems. Each of these systems can be divided into two parts. Moreover, for intelligent systems, the problem of self-organization is posed as the problem of determining the principle of combining the selected parts into an organized whole. It has been established that the principle of such a combination is the dialectical connection between the results of the tasks being solved in each of the parts. The dialectical connection is realized in the form of a dialectical unity of the concepts of “general” and “single”. It is proposed to consider this principle of combining parts of the intellectual system as the principle of heuristic dialectic self-organization. At the same time, automated control systems are characterized by the division of the system into two parts, namely: the human operator; management object. However, with this approach, each of these parts is considered separately. Therefore, for each of the parts it is proposed to determine its own principle of self-organization. In the course of the study, it was proposed to move on to establishing the principle of self-organization for parts of the intellectual system. At the same time, it is proposed to change the method for solving this problem. If for automated systems it is proposed to first determine the characteristic signs of activity and to propose appropriate heuristics for their processing, then for intelligent systems it is proposed to recognize the principle of heuristic self-organization as a dialectical unity of concepts. The principle of dialectical unity of the concepts of “common” and “single” is proposed to be used to study the mechanisms of self-organization of activities to solve problems in the relevant parts of the intellectual system. The first part of the intellectual system that solves the problem of implementing the established project of the future result is technological activity. An important circumstance, this activity is also divided by us into organizational and technological. It is clear that any process should be organized. Internally. Since we have already chosen the principle of heuristic self-organization, it remains to establish the characteristic features for this form of activity. To reveal the content of factors for this form of activity, we have chosen the concept of “process” and “resource”. Based on this, four forms of factors were established, and dialectic pairs of these factors were formed, for which a model architecture was established for the factor representation of the project of the future result of activity. Studying the technological activities for the implementation of the established project of the future result, we actually solved the problem of forming a model for the project of the future result, which is the result of solving the first problem and is the basis for solving the second problem. It should also be noted that the development of intelligent production control systems for Industry 4.0 is impossible outside the theory of intelligent systems, which in turn is based on the principles of heuristic self-organization.

scholarly journals The method of teaching IT students computer analysis of ergonomic reserves of the effectiveness of automated control systems

2020 ◽  
Vol 166 ◽  
pp. 10017
Author(s):  
Evgeniy Lavrov ◽  
Nadiia Pasko ◽  
Olga Siryk ◽  
Natalia Kisel ◽  
Nelly Sedova
Keyword(s):  
Computer Modeling ◽  
Control Systems ◽  
Mutual Influence ◽  
Information Support ◽  
Main Element ◽  
Scientific School ◽  
Automated Systems ◽  
Automated Control ◽  
School Efficiency ◽  
Significant Difference

In the article, we consider a technique for training university students, who study IT specialties to solve problems of finding ergonomic reserves to improve the efficiency of automated systems. We describe the structure of the “Ergonomics of Automated Systems” course, software for evaluating and optimizing the activities of operators of “human-equipment-environment” systems, and methodological techniques for using ergonomic computer modeling to build effective automated control systems. Discipline is built using a mansystem approach to the study and design of automated systems, when a person is considered the main element of the system, but the diverse influence of hardware, software and information support, as well as the environment, is taken into account. A significant difference between the developed method and similar existing disciplines devoted to the study of the “human factor” is that, firstly, not only the characteristics of the human operator working with technology are studied, but also the mutual influence of system elements; secondly, the course is based on a qualimetric approach to assess the reliability of the activity and the economic results of this activity; thirdly, the computer modeling used is focused on optimization with the use of economic criteria of activity, while observing the requirements of ergonomic norms and standards. Functional networks developed by the scientific school “Efficiency, Reliability, and Quality of Ergotechnical Systems” by Professor Anatoly Ilyich Gubinsky were used as a methodological basis for modeling and optimization of activities.

scholarly journals Methodology for evaluating the effectiveness of integrated automation in aerospace industry

2020 ◽  
Vol 12 (S) ◽  
pp. 135-140
Author(s):  
Sergey N. PADALKO ◽  
Aleksandr A. ERMAKOV ◽  
Fatima M. TEMMOEVA
Keyword(s):  
Control Systems ◽  
Information Exchange ◽  
Fuzzy Numbers ◽  
Effective Means ◽  
Aerospace Industry ◽  
Automated Control ◽  
Integrated Automation ◽  
Aerospace Research ◽  
Automation Systems ◽  
Theoretical Significance

Aerospace (remote) methods today have become one of the most effective means to study the earth's surface. Taking into account the expansion of the range of tasks that the aerospace industry faces nowadays, as well as the fact that hyperspectral analysis of large volumes of data obtained during aerospace research is time-consuming and costly, the need for the introduction of automated control systems for aerospace enterprises is essential. The article is devoted to the study of approaches to evaluating the efficiency of the integrated automation in aerospace organizations. In the process of research, a technique based on the use of mathematical apparatus of fuzzy numbers and including an assessment of the productivity and stability of functioning of automation systems, as well as an analysis of the reliability of information exchange and security of information transmission. Therefore, the practical and theoretical significance of the chosen research topic is not in doubt.

Technology of Information Safety Control in Automated Control Systems

2005 ◽  
Vol 63 (4) ◽  
pp. 295-304
Author(s):  
Ya. E. Lvovich ◽  
A. S. Dubrovin ◽  
E. A. Rogozin ◽  
V. I. Sumin
Keyword(s):  
Control Systems ◽  
Automated Control ◽  
Safety Control ◽  
Information Safety

The effect of pressure on the compressibility of aluminum alloys

2020 ◽  
pp. 102-107
Keyword(s):  
Mechanical Properties ◽  
Mathematical Model ◽  
Liquid Metal ◽  
Control Systems ◽  
Physical And Mechanical Properties ◽  
Reliable Data ◽  
Output Process ◽  
Automated Control ◽  
Input And Output ◽  
Crystallization Under Pressure

To obtain reliable data on the properties of liquid metal and create automated control systems, the technological process of molding with crystallization under pressure is studied. A mathematical model of the input and output process parameters is developed. It is established that the compressibility of the melt can represent the main controlled parameter influencing on the physical-mechanical properties of the final products. The obtained castings using this technology are not inferior in their physical and mechanical properties to those produced by forging or stamping.

ADDER

2021 ◽  
pp. 49-56
Author(s):  
A. N. Brysin ◽  
Yu. A. Zhuravleva ◽  
A. S. Mikaeva ◽  
S. A. Mikaeva
Keyword(s):  
Control Systems ◽  
Information Exchange ◽  
Electricity Generation ◽  
Local Network ◽  
Exchange Of Information ◽  
Upper Level ◽  
Bidirectional Exchange ◽  
And Control ◽  
Ethernet Interface

The article describes an electronic multifunctional adder for electricity metering SEM-3. The authors give the technical characteristics, the device and the principle of its operation. The presented adder is designed to monitor and account for the consumption of electricity generation and power directly from consumers, as well as in automated centralized accounting and control systems, and is designed for round-the-clock operation. The adder can collect and transmit information over six independent serial interfaces. The adder with a builtin GSM module provides bidirectional information exchange via cellular modem communication with remote devices and the transfer of accumulated data to the upper level of the automated electricity metering system. It provides bidirectional exchange of information over a local network with a PC over the built-in 10/100 Base-T Ethernet interface.

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