scholarly journals Decision support system in the task of ensuring information security of automated process control systems

2019 ◽  
pp. 477-486
Author(s):  
A D Kirillova ◽  
V I Vasilyev ◽  
A V Nikonov ◽  
V V Berkholts
Keyword(s):  
Control System ◽  
Decision Support ◽  
Information Security ◽  
Process Control ◽  
Decision Support System ◽  
Control Systems ◽  
Support System ◽  
Decision Rules ◽  
Process Control Systems ◽  
Automated Process

The problem of ensuring the information security of an automated process control system (APCS) is considered. An overview of the main regulatory documents on ensuring the safety of automated process control systems is given. For the operative solution of the tasks of ensuring information security of the automated control system of technological processes it is proposed to use an intelligent decision support system (DSS). An example of the construction and implementation of decision rules in the composition of the DSS based on the use of neurofuzzy models is considered.

Reducing the Impact of Source Information Uncertainty in Intelligent Automated Thermal Process Control Systems in Ensuring Reliable Operation of Power Equipment

Vestnik MEI ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 78-87
Author(s):  
Edik K. Arakelyan ◽  
◽  
Ivan A. Shcherbatov ◽  
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Process Control System ◽  
Power Equipment ◽  
Source Information ◽  
Equipment Operation ◽  
Process Control Systems ◽  
Automated Process ◽  
The Impact

The uncertainty of the source information is used to solve key tasks in an intelligent automated thermal process control system affects the calculation of control actions, the implementation of equipment optimal operating modes and, as a result, leads to degraded reliability. As a rule, this type of information can be qualitative (the use of expert knowledge) or quantitative in nature. In this regard, it is extremely important to reduce the impact of uncertainty. The aim of the study is to identify the types and origins of uncertainty in the source information used by an intelligent automated process control system and to develop approaches to reduce its impact on the reliability of power equipment operation. The approaches used to ensure the specified indicators of reliability, efficiency and environmental friendliness in modern intelligent automated process control systems are based on predictive strategies, according to which the technical condition of equipment and specific degradation processes are predicted. This means that various types of uncertainty can have a significant negative impact. To reduce the influence of uncertainty of the initial information that affects the reliability of power equipment operation, the use of artificial neural networks is proposed. Their application opens the possibility to predict the occurrence of equipment defects and failures based on retrospective data for specified forecast time intervals. A method for reducing the impact of anomalies contained in the source information used in an intelligent process control system for energy facilities is demonstrated. Data omissions and outliers are investigated, the elimination of which reduces the impact of uncertainty and improves the quality of solving key problems in intelligent automated process control systems. Experimental studies were carried out that made it possible to identify the mathematical methods for removing omissions and anomalies in the source information in the best way. Methodological aspects of eliminating various types of uncertainty that exist in managing of power facilities by means of intelligent automated process control systems at the key stages of the power equipment life cycle are described.

Legal and regulatory framework of Information security of automated process control systems

2018 ◽  
pp. 75-85
Author(s):  
T. Yu. Kirilina ◽  
E. N. Gorbaneva ◽  
A. V. Poznyakevich
Keyword(s):  
Information Security ◽  
Process Control ◽  
Control Systems ◽  
Russian Federation ◽  
Critical Value ◽  
The State ◽  
Regulatory Framework ◽  
Process Control Systems ◽  
The Russian Federation ◽  
Automated Process

Nowadays protection of automated process control systems in the Russian Federation is one of the most important problems in the field of information security. Number of cyberthreats is increasing dramatically that has critical value for an ecological, social and macroeconomic component of the state. 

scholarly journals Combined architecture of an intelligent agent using models

2021 ◽  
Vol 2094 (3) ◽  
pp. 032011
Author(s):  
V L Tokarev ◽  
A A Sychugov
Keyword(s):  
Information Security ◽  
Process Control ◽  
Control Systems ◽  
Intelligent Agent ◽  
Automated System ◽  
Multi Agent System ◽  
Practical Application ◽  
Process Control Systems ◽  
Multi Agent ◽  
Automated Process

Abstract The article considers the problem of building a multi-agent system for solving information security problems of automated process control systems. The architecture of an intelligent agent is proposed and studied, the features of which are the presence of a set of models used both for assessing the security of a certain node of the security object – an automated system, and for making decisions aimed at increasing the level of security. The results obtained in the course of research improve both the scientific and methodological apparatus for integrating methods of multi-agent technologies, and expand the areas of its practical application.

scholarly journals A precedent approach to incident management in automated process control systems

2020 ◽  
pp. 45-52
Author(s):  
Aleksey Sergeevich Dobrynin ◽  
Mikhail Yur'evich Gudkov ◽  
Roman Sergeevich Koynov
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Process Control System ◽  
Incident Management ◽  
Level Control ◽  
Process Control Systems ◽  
Automation Systems ◽  
Software And Hardware ◽  
Automated Process

The continuous development of automated control systems for industrial facilities leads to the emergence of more advanced and complex control algorithms. A natural consequence of the development of control systems (CS) is the use of more complex technical means: sensors, controllers, SCADA and MES systems. Ultimately, the saturation of systems with additional software and hardware leads to a decrease in manageability in general, since software needs to be updated, equipment often fails, needs replacement, etc. Thus, approaches aimed at creating separate, autonomously functioning subsystems are becoming a thing of the past. An integrated, multi-level joint management of the entire infrastructure of the process control system is needed, from the technological facility to the technical infrastructure, which is closely tied to the facility. The article discusses the issues of constructing top-level control subsystems for the process control system, when it is necessary to control directly the software and hardware as part of the process control system. As research methods, simulation and computer modeling was used, which made it possible to evaluate the effectiveness of the proposed approaches and management methods. Also, the research results were verified through the pilot implementation of an automated incident management system based on the proposed approaches in the process of managing a complex technologically object. The novelty of the research lies in the proposed approach to incident management in automated process control systems, which makes it possible to improve the quality of management, reduce management costs, and predict (in some cases) the occurrence of new incidents and take measures to prevent them. Studies have shown the feasibility of using the proposed approach to control complex non-stationary automation systems.

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