METHODS AND TECHNOLOGIES FOR DEVELOPING AN IOT- AND CV-ORIENTED PLATFORM FOR AUTOMATED CONTROL OF BUILDING ENGINEERING SYSTEMS
Keywords:
building automation, BMS, IoT monitoring, computer vision, room occupancy, MQTT, ventilation, heating, lighting, energy management, context-aware controlAbstract
Development of a software platform for context-aware control of engineering systems in educational buildings based on IoT telemetry, timetable data, and computer-vision assessment of actual room occupancy is considered. The proposed classroom ventilation and electricity monitoring system (SMVEA) integrates a sensor layer, CV module, MQTT broker, room-context formation module, deterministic control core, actuation loop, and web dashboard. The formal model includes indoor and outdoor temperatures, window state, and a data-quality indicator; the model outputs are ventilation, lighting, and heating modes. A reproducible baseline prototype configuration is specified: a 60 s control interval, hysteresis for CO₂, illuminance, and temperature, as well as the PRE_HEAT, ECO, COAST, and DAYLIGHT_HARVEST rules. Setpoint values are treated as initial engineering settings and must be calibrated with local standards and the characteristics of the specific room. The current version uses transparent rule-based logic; neural-network forecasting is separated as a direction for further development and is not presented as an implemented result. The operability of the logic is evaluated using a set of functional scenarios. The article does not claim a quantitative reduction in energy consumption; to demonstrate it, a method for subsequent field evaluation based on a baseline, energy consumption, and indoor environmental quality indicators is formulated.
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Copyright (c) 2026 И.И. Абдуллаев, К.А. Кадырбеков, А.И. Чыныбаев, С.Н. Верзунов
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