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  • Синтез информационной системы управления подсистемами технического обеспечения интеллектуальных зданий

Article

Синтез информационной системы управления подсистемами технического обеспечения интеллектуальных зданий

Викентьева О. Л., Дерябин А. И., Шестакова Л. В., Кычкин А. В.

Subject: smart house maintenance requires taking into account a number of factors - resource conservation, mitigating working expenditures, safety enhancement, ensuring comfort of leisure and operation. Automation of such engineering systems networks as illumination, climate control, security and communication, may be achieved through utilization of contemporary technologies (e.g. IoT – Internet of Things). However, storing and processing the overwhelmingly massive corpora of data produced by the aforementioned systems poses a significant challenge. It is necessary to rationally manage the available big data during the stage of information modelling, due to the fact, that a building’s lifespan outlives most iterations of safety, comfort, and maintenance standards substantially.

Materials and methods: since smart houses may be classified as human-machine systems, the cybernetic approach will be considered as the base method of information system design and discovery. Instrumental methods are represented by set-theoretical modelling, automata theory and architectural principles of information management systems’ organization.

Results: an agile architecture of information system for smart house hardware management has been synthesized. The architecture encompasses several levels: client level, application level and data level; as well as three layers: presentation level, actuating devices layer and analytics layer. As proposed, the problem of growing volumes of information process by realtime message controller is attended by employment of sensors with configurable thresholds and actuating mechanisms, which implement control logic based on discrete automaton (namely, logical algorithm schemes). Multicircuit control system is suggested to be additionally enhanced with datamining module, DBMS, datamarts, and OLAP cube, which are jointly capable of processing large amount of data produced by hardware subsystems.

Conclusions: an information system for smart house hardware management, 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 datamining-enabled control circuit. Suggested solution is recommended to be employed for the management of buildings and constructions, that utilize means of automation and IoT.