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Fault diagnosis system based on virtual sensor to improve energy efficiency of building heating and cooling facilities and Fault diagnosis method using the same
Fault diagnosis system based on virtual sensor to improve energy efficiency of building heating and cooling facilities and Fault diagnosis method using the same
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机译：基于虚拟传感器的故障诊断系统，提高建筑加热和冷却设施能效及其使用相同的故障诊断方法
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摘要
The present invention relates to a virtual sensor-based fault diagnosis system for improving energy efficiency of heating and cooling facilities in a building and a fault diagnosis method using the same. a database for collecting and storing data; a preprocessor for normalizing and removing noise from the building temperature data; a peak search unit that searches for peak values and valley values of normalized building temperature data; a driving search unit that searches for a driving cycle using the floor value and the valley value, predicts an operating schedule of the heating and cooling facility based on normalized building temperature data, and generates schedule prediction information; A set temperature prediction unit that calculates a set temperature predicted value using the peak and valley values, and a fault diagnosis that synthesizes the operation cycle, schedule prediction information, and set temperature predicted value, and diagnoses abnormalities in heating and cooling facilities through the result of the synthesis It is possible to provide a virtual sensor-based fault diagnosis system for improving energy efficiency of heating and cooling facilities in a building including a diagnosis server including a unit. In addition, there is provided a fault diagnosis method using a virtual sensor-based fault diagnosis system for improving energy efficiency of heating and cooling facilities in a building, comprising: a pre-processing step of normalizing and removing noise of building temperature data measured from a temperature sensor unit; a peak search step of searching for a floor value and a valley value of the normalized building temperature data; an operation search step of searching for a driving cycle using the floor value and the valley value, predicting the operation schedule of the heating and cooling facility through normalized building temperature data, and generating schedule prediction information; The set temperature prediction step of calculating the set temperature predicted value using the floor value and the valley value, the operation cycle, the schedule prediction information, and the set temperature predicted value are synthesized, and the result of diagnosing the abnormality of the heating and cooling system of the building A fault diagnosis method including a fault diagnosis step may be provided.
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