Open AccessSIMULATION MODELING AS AN OPTIMIZATION TOOL OF SMART SYSTEMS
Author(s) -
R.R. Ramazanov
Publication year - 2020
Publication title -
vestnik ugntu. nauka, obrazovanie, èkonomika. seriâ èkonomika
Language(s) - English
Resource type - Journals
ISSN - 2541-8904
DOI - 10.17122/2541-8904-2020-3-33-73-78
Subject(s) - computer science , smart city , set (abstract data type) , control (management) , risk analysis (engineering) , quality (philosophy) , smart objects , management science , systems engineering , data science , internet of things , operations research , computer security , engineering , business , artificial intelligence , philosophy , epistemology , programming language
The article discusses the possibilities of applying simulation to solving problems of optimizing the environmental elements of a “smart city”. The concept of smart systems in urban studies has appeared relatively recently, however, an active discussion about the possibilities of its application is conducted not only among specialists. The growing interest in new technologies is demonstrated by business and administrations of large cities. The updating of the new technological agenda is based on a number of complex social and technological trends. First of all, we are talking about the final stage of transformation of industrial societies into information-type societies and the rapid development of telecommunication technologies, which created the conditions for the emergence of the Internet of things. Digitalization of infrastructure objects, elements of control and management of urban logistics in the future, most likely, will lead to the formation of fully automated supersystems, the functioning of which will determine the quality of life of urban residents. Already today, technological capabilities make it possible to commission some quasi-intelligent controls, however, the introduction of innovations requires a comprehensive, non-speculative analysis of all the possible consequences. The functioning of any automated system is based on a set of mathematical algorithms that determine its response to changes in environmental variables and the internal state. Closely connected with the problem of algorithmization is the problem of calibrating the connections of elements of smart systems, which can be practically impossible to solve with classical well-tested analytical methods due to the extreme complexity of some smart systems. Simulation modeling and agent-based approach in particular could become a tool for testing and optimizing integrated smart control systems. Simulation modeling allows for emulation experiments, determining the influence of various design options and calibration methods of smart systems being designed on their functional efficiency. The usefulness of agent modeling here lies in its focus on reproducing complex systems from the bottom up - from the actions of many elementary subjects to the global dynamics of the system. This property of the agent-based approach actualizes its application in the design of smart control systems for the urban environment, the dynamics and functioning of which is determined by the actions and interactions of many independent entities with opposite goals.