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Building Energy Failure Diagnosis and Analysis System with integrated Virtual sensor and Deep learning and Building Energy Failure Diagnosis and Analysis Method
Building Energy Failure Diagnosis and Analysis System with integrated Virtual sensor and Deep learning and Building Energy Failure Diagnosis and Analysis Method
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机译:综合虚拟传感器和深层学习和建筑能力故障诊断和分析方法构建能量衰竭诊断和分析系统
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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.
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