Representation and processing of knowledge in information automated systems of intelligent field
Authors:
About authors
- Ph.D. associate professor National Mineral Resources University (Mining University)
Abstract
Effective management in the oil and gas industry is associated with an increased degree of automation, the further improvement of the information systems and technologies in the frame-work of the concept of «intelligent field». Complexity of construction of automated intelligent information systems associated with the working out of models of representation and processing of incomplete knowledge (data).We consider an approach to the construction of a knowledge base using category theory, axiomatic formal theories and the topological Boolean algebra. The possibility to handle fuzzy information and implement the logical conclusion in the framework of the formal deductive systems.
Keywords:
oil and gas industry
intellectual field
knowledge base
formal system
topological Boolean algebra
Funding:
None
References
- Bespalov A.P. Smart technologies for smart management // Modern information technologies in the oil and the gas industry: 41st Scientific Conference. Sochi, 2012.
- Bolotnik D.N. Intelligent technology field and some examples of the elements of the technology // Modern information technologies in the oil and gas industry: 41st Annual Scientific Conference. Sochi, 2012.
- Models and algorithms for the conceptual design of the automated control systems / Ed. S.G. Chekinova. Мoscow, 2004. 324 p.
- Yarushek V.E., Prokhorov V.P., Sudakov B.N., Mishin A.V. Theoretical Foundations of automated decision-making processes in the control systems. Kharkov, 1993. 443 p.
Similar articles
Analytical method for determining the parameters transmarginal deformation ore for bump hazard assessment for ore deposits at great depths when using room-and-pillar system
2014 D. V. Sidorov
Staged conceptual model analysis of heat mode electronic modules automated control systems metallurgical production
2014 I. V. Ivanova, P. V. Pashkin
Principles of waste management in the mining industry under the division of property rights to mineral resource
2014 M. A. Nevskaia