According to the intelligent
home environment intelligent regulation and
control system and the control method thereof, various intelligent sensors are arranged, various environment data such as indoor temperature,
humidity and illumination are monitored in real time, the data are preprocessed and then sent to a
data analysis layer, data features are extracted according to the monitored data and historical data based on the
deep learning technology, and user preferences are deduced; the
control parameters are adjusted and sent to the equipment
control layer, a specific instruction is sent to an indoor smart home, an air conditioner, a humidifier or a curtain and the like are controlled to accurately control the indoor environment, the living preference of a user is met, and in the process, the effect monitoring and dynamic adjusting layer monitors the adjusting condition in real time, and the user experience is improved. If the ideal effect is not achieved after adjustment, the equipment
control layer is controlled to continue adjustment, in the process, the abnormal condition of the
system is detected, the
power consumption of the equipment and other data are monitored at the same time, normal work of the
system is guaranteed, possible faults are predicted, a user is reminded in time, and safe and energy-saving operation of the whole
system is guaranteed.