| Summary: | Subject: smart house maintenance requires taking into account a number of factors: resource-saving, reduction of operational expenditures, safety enhancement, providing comfortable working and leisure conditions. Automation of the corresponding engineering systems of illumination, climate control, security as well as communication systems and networks via utilization of contemporary technologies (e.g., IoT - Internet of Things) poses a significant challenge related to storage and processing of the overwhelmingly massive volume of data whose utilization extent is extremely low nowadays. Since a building’s lifespan is large enough and exceeds the lifespan of codes and standards that take into account the requirements of safety, comfort, energy saving, etc., it is necessary to consider management aspects in the context of rational use of large data at the stage of information modeling. Research objectives: increase the efficiency of managing the subsystems of smart buildings hardware on the basis of a web-based information system that has a flexible multi-level architecture with several control loops and an adaptation model. Materials and methods: since a smart house belongs to man-machine systems, the cybernetic approach is considered as the basic method for design and research of information management system. Instrumental research methods are represented by set-theoretical modelling, automata theory and architectural principles of organization of information management systems. Results: a flexible architecture of information system for management of smart house hardware subsystems has been synthesized. This architecture encompasses several levels: client level, application level and data level as well as three layers: presentation level, actuating device layer and analytics layer. The problem of growing volumes of information processed by realtime message controller is attended by employment of sensors and actuating mechanisms with configurable threshold, which implement control logic based on the model of discrete automata (namely, logical algorithm schemes). It is suggested to additionally enhance multi-loop control system with data-mining module, DBMS, datamarts, and OLAP cube, which are jointly capable of processing large amount of data on the state of hardware subsystems of buildings and structures. Conclusions: an information system for management of smart house hardware subsystems, once built according to the proposed architecture, will enhance the quality of decision-making process, decrease operational costs of the smart house due to the application of data-mining enabled control loop. It is recommended that the proposed solution be implemented for management of engineering systems of buildings and structures that utilize automation and IoT tools.
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