SYSTEM FOR CONTROLLING ENVIRONMENTAL COMFORT USING DEEP REINFORCEMENT LEARNING AND METHOD THEREOF

The invention relates to a system for controlling environmental comfort by using deep reinforcement learning and a method. Firstly, at least one environmental factor sensing module, an air conditioning equipment control and state detection unit and an exhaust fan system control and state detection unit respectively detect environmental factor information, state information of air conditioning equipment and state information of an exhaust fan system in an activity space. A computer integrates the information of the environmental factors, the state information of the air conditioning equipment and the state information of the exhaust fan system to generate integrated information, and tradeoff operation is performed on the integrated information through a deep reinforcement learning algorithmto generate an optimized regulation and control result; and the computer generates a corresponding regulation and control instruction according to the optimization regulation and control result so asto optimize and regulate