system and method predicting effective ventilation amount to improve indoor air quality in apartment buildings

摘要

The disclosed effective ventilation amount prediction system for improving indoor air quality of a multi-family house includes: a BIM information database in which open 3D building information modeling (BIM) information is stored; A ventilation volume input module that receives a learning model input factor consisting of the ventilation volume for a room in a building; An extraction module comprising a coordinate extraction unit for extracting the coordinates of the building, window and door of the building from the BIM information database, and a factor calculation unit for calculating a learning model extraction factor based on the extracted coordinate information; Construct a learning model factor including the learning model extraction factor received from the extraction module and the learning model input factor received from the ventilation amount input module, and based on the learning model factor, the learning model based on the artificial neural network An air congestion ratio prediction module for estimating an indoor air congestion ratio for a room in a building; An indoor pollutant concentration input module that receives indoor pollutant concentration for a room of a building from a user; An indoor pollutant measurement information management unit that receives, stores and manages the indoor pollutant concentration from the indoor pollutant concentration input module; Calculate the required ventilation volume for concentration reduction from the indoor pollutant concentration received from the indoor pollutant measurement information management unit, and improve indoor air quality from the calculated required ventilation volume and the indoor air stagnation ratio received from the air congestion ratio prediction module It is characterized in that it comprises a; effective required ventilation amount calculating module for calculating the effective required ventilation amount for.