Building Energy Failure Diagnosis and Analysis System with integrated Virtual sensor and Deep learning and Building Energy Failure Diagnosis and Analysis Method

摘要

The present invention relates to a building energy failure diagnosis and analysis system integrating a virtual sensor and deep learning, and a building energy failure diagnosis and analysis method using the same. a database for collecting and storing measured building temperature data; a virtual sensor unit for estimating virtual data of the air conditioner by using the building temperature data and generating a first failure diagnosis result through the virtual data for the air conditioner; A deep learning unit that learns the building temperature data and the first failure diagnosis result of the virtual sensor unit in a deep learning model, and generates a second failure diagnosis result through simulation verification using the learned deep learning model, and the first and first 2 It is possible to provide a building energy failure diagnosis and analysis system that integrates deep learning and a virtual sensor including a management server including a failure diagnosis integration unit that generates a final diagnosis result by integrating the failure diagnosis results. In addition, (a) a virtual sensor diagnosis step of estimating the air conditioner virtual data using the building temperature data measured from the temperature sensor unit, and then generating a first failure diagnosis result through the air conditioner virtual data; (b) a deep learning diagnosis step of learning the building temperature data and the first failure diagnosis result in the deep learning model, and generating a second failure diagnosis result through simulation verification using the learned deep learning model, and (c) the first It is possible to provide a building energy failure diagnosis and analysis method including a failure diagnosis integration step of generating a final diagnosis result by integrating the first and second failure diagnosis results.