This paper presents a two-dimensional fuzzy system for controlling microclimate parameters to maintain optimal levels of CO2 concentration, humidity and room temperature. The system, implemented on the basis of fuzzy rules taking into account the interrelation of key parameters, is stable under various external influences and integrates energy-saving algorithms by optimizing heating and ventilation cycles, which also minimizes the energy consumption of operating equipment. In addition, the two-dimensional control system reduces the negative impact of microclimate parameters on the environment.
Zhussupbekov et al. (Mon,) studied this question.
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