2 system and method predicting energy expenditure based on machine learning using 2D drawing

摘要

Disclosed is a system and method for predicting energy requirements based on machine learning using two-dimensional drawings. The disclosed energy requirement prediction system includes: a building basic information input module that receives a learning model input factor comprising basic building information from a user; Provides 2D modeling creation tools to enable users to create 2D modeling drawings, sets color information for each room in each 2D modeling drawing, and numerically inputs floor height information for each room. A 2D drawing creation module configured to generate 2D modeling drawing information by numerically receiving window height information installed in the window; An extraction module for extracting a learning model extraction factor based on the 2D modeling drawing information; An energy requirement database for each variable according to the representative total area, in which energy requirement information for each variable according to the representative total area is stored; Constructing a machine learning model factor including the learning model input factor received from the building basic information input module and the learning model extraction factor received from the extraction module, and energy for each variable according to the learning model factor and the representative gross area. It includes an energy demand prediction module that estimates and estimates the energy demand for a building by matching machine requirements and performing machine learning based on energy demand information for each variable according to the representative gross area matched with the learning model factor. Is done.