An indoor air quality control method using an intelligent air cleaner is disclosed. An indoor air quality control method using an intelligent air cleaner according to an embodiment of the present invention can predict indoor dust concentration progress on the basis of output values of a learning model having received dust concentration data as input values when the dust concentration data of an indoor place where the air cleaner is located is received from the air cleaner, and determine whether ventilation is required by comparing the predicted progress with outside dust concentration data received from the Meteorological Administration server. Accordingly, indoor dust concentration changes can be predicted and an appropriate ventilation time can be recommended. The intelligent air cleaner and the indoor air quality control method using the same of the present invention can be associated with artificial intelligence modules, devices related with the 5G service, and the like.