Air volume measurement system capable of environment learning in connection with deep reinforcement algorithm and method for performing environment learning using the same precisely controlled ventilation fan using the same

The present invention relates to an air volume measurement system capable of environmental learning in conjunction with a deep reinforcement learning algorithm, a learning execution method using the same, and a precisely controlled ventilation fan device using the same. According to the present invention, there is the effect of making it possible to precisely control a ventilation fan product in the environment where it is actually installed, by creating an environment in which the pressure conditions and thermal environmental conditions such as temperature, humidity, air cleanliness, or the like that may occur in the actual installation environment are changed in real time similar to the actual environment when designing a ventilation fan, and leaning an artificial neural network in various environmental conditions in connection with deep reinforcement learning algorithm. 본 발명은 심층 강화학습 알고리즘과 연동하여 환경 학습이 가능한 풍량 측정 시스템 및 이를 이용한 학습 수행 방법, 이를 이용한 정밀 제어 환기팬 장치에 관한 것으로, 환기팬 설계시 실제 설치환경에서 일어날 수 있는 압력조건 및 온습도, 공기청정도 등 열환경조건을 실제와 유사하게 실시간으로 가변하는 환경을 조성하고 심층 강화학습 알고리즘과 연계하여 다양한 환경조건에서 인공신경망 학습하여 환기팬 제품이 실제 설치되는 환경에서 정밀제어 되도록 할 수 있는 효과가 있다.