?
Модель динамической оптимизации процесса управления энергопотреблением для платформы Интернета вещей
Research considers the task of developing analytical software for IoT platforms with the purpose of subsequent creation of energy consumption control devices and systems on their basis on the example of HVAC with dynamic optimization. The analysis of platform technologies used to create energy consumption control solutions is presented; classes of horizontally-oriented and vertically-oriented platforms are highlighted and characterized. Analysis of the platforms allowed to identify the requirements for the functions and to construct a multi-layered architecture of the target vertically-oriented IoT platform, most suitable for the development of the system of dynamic optimization of the energy management process of HVAC. The problem statement of dynamic energy consumption control on the example of ventilation and the strategy of approximation of energy cost function by means of predictive models is presented. The activity of the proposed analytical models in HVAC control loops is illustrated in a time diagram. The use of the model as a service is proposed to dynamically optimize energy consumption and consequently energy costs The publication was prepared within the framework of the Academic Fund Program at the HSE University in 2020 – 2021 (grant № 21-04-039).