Intelligent Sensor Networks for Monitoring and Controlling Complex Systems under Conditions of Uncertainty
Abstract
Within the framework of the Industry 4.0 concept, intensive development of the processes of intellectualization of sensor systems is envisaged.
Among the most important specific properties of real measuring processes in complex systems is, first of all, their implementation under conditions of considerable uncertainty. The uncertainty is caused by a priori incompleteness, inaccuracy, vagueness of information about a complex measuring object and its functioning environment, which does not allow to build an adequate model of the object before the measurement experiment, to identify and formalize the influencing factors of the external environment and to develop effective algorithms for the functioning of information and measurement systems.
The report proposes an approach to the intellectualization of measurement systems in conditions of uncertainty by creating intelligent sensor networks based on Bayesian intelligent technologies (BIT) and means of their implementation. Typical modules of such networks are considered , which are integrated sets of various sensors and intelligent measurement information processing systems. The results of the networks are comprehensive assessments of the state of complex objects and recommendations for providing of their sustainable functioning. An important part of such systems is the built-in means of a complete metrological justification of all received solutions. The systems have a hierarchical architecture, according to the levels of management of complex objects, which has the possibility of self-development based on newly received information. This is achieved thanks to models and scales with dynamic constraints on which all BIT algorithms are built. The report provides examples of the use of intelligent sensor networks for monitoring and control of power generation and water supply systems.
Short Biography
Dr. Svetlana Prokopchina is a professor of Moscow State University and Financial University of Government of Russian Federation. She is an academician of the International Academy of Informatization, International Academy of Ecology and Life Safety Sciences, International metrological Academy, Russian ecological Academy, International Academy of information processes and technologies. Since 2001 Dr. Prokopchina ia a member of the Board of Directors of 'ROSNEFTEGAZSTROY'. She is a president of the interregional scientific public Association «Scientists for ecology» (since 1992). Dr. Prokopchina is the author of about 250 scientific papers and 11 monographs. Specializes in the field of fundamental and applied works of Measurement Science and Artificial Intelligence. Main directions of scientific researches are Bayesian Intelligent Technologies and Measurement for the creation of monitoring systems, audit, management decision-making, risk management, classification of objects and situations, intelligent geoinformation systems, socio-economic systems in conditions of significant information uncertainty. Dr. Prokopchina S. V. was awarded with state awards, has the gratitude of the Ministry of science and education of the Russian Federation. She is an international expert of the UNECE Energy Commission on information systems, energy and natural resources. Since 1998 she has co-chaired the annual International conference on Soft Computing and Measurement (SCM). Since 2017 Dr. Prokopchina is the editor-in-chief of the scientific journal 'Soft measurements and computing'. Since 1990 she has been managing international and Russian projects on creation of systems for monitoring and management of complex systems, support for management decisions, environmental protection, management of specially protected natural areas, maintenance of inventories of natural resources, as well as information- analytical centers for industrial enterprises, agro-industrial systems, energy systems and networks, oil and gas systems.