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.

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 COMPUTER MODELING AND INFORMATION TECHNOLOGIES IN PHARMACY

2021 ◽  
Author(s):  
Victoriia Harkava ◽  
◽  
Victor Bandura ◽  
Oleksandr Gaisha ◽  
Tatyana Ihnatova ◽  
...  
Keyword(s):  
Pharmaceutical Industry ◽  
Computer Modeling ◽  
Control Systems ◽  
Information Technologies ◽  
Practical Problem ◽  
Computer Systems ◽  
Automated Control ◽  
Modern Methods

The monograph solves a topical scientific and practical problem, which consists in the analysis of modern methods of modeling and development of computer systems and the construction on this basis of automated control systems in the pharmaceutical industry.

Improvement of Automated Control Systems for Production and Production Logistics Development

Upravlenie ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. 22-26
Author(s):  
Волочиенко ◽  
Vladimir Volochienko
Keyword(s):  
Control Systems ◽  
Production Management ◽  
Practical Importance ◽  
Scientific School ◽  
Complex Object ◽  
State University ◽  
Automated Control ◽  
Production Logistics ◽  
Logistics Systems ◽  
Situational Management

This paper has been devoted to a retrospective review of production logistics formation in the frames of “Logistics” Scientific School at The State University of Management. The author’s contribution to the resolution of production management automation problems in the real time has been described. This contribution enables to implement scientific and methodological preliminary work on situational management for production logistics systems based on application of recognition methods and systems. Scientific novelty of the author’s contribution in the SUM‘s Logistics Scientific School, consisting of development related to the theory and tools for operational planning and management of engineering production based on application of recognition methods and market influences accounting, has been represented. The practical importance of situational management of production logistics systems has been revealed. Perspective directions for application of recognition methods and systems in conditions of such active complex object as a machinebuilding enterprise and logistics systems have been showed.

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”.

scholarly journals Development and improvement of automated control systems of aerospace defence and testing facilities interspecific test site Russian Defence Ministry

2015 ◽  
pp. 13-15
Author(s):  
Y. V. Bezel
Keyword(s):  
Control Systems ◽  
Test Site ◽  
Automated Systems ◽  
Automated Control

Approaches to the development and improvement of the automated systems of aerospace defence and the unification of systems tools for the formation of a single information field of these systems. Offers on upgrading inter landfill, the implementation of which will allow testing of the automated systems of a wider scale.

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.

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