In the present invention, the internal and external environmental factors important to the operation of the charger are identified and converted into variables, and variable values corresponding to these variables are measured by various sensors inside and outside the charger, and the measured information is collected by the charger central server system and built into a relational database, An appropriate charger model (model) can be selected and installed so that the charger to be installed in the future can be optimized in various environments, and after installation, a charger operation optimization system to control and monitor internal and external environmental variables in the charger to maximize the operating efficiency of the charger. And the configuration of the method. The present invention discovers new factors for improvement in charger management/operation and service by a new data management configuration for collecting/processing enormous amounts of data generated from each sensor in real time, and efficiently improving charger management/operation and customer service. Is done. Therefore, the present invention collects data of all possible factors that may affect charger operation, estimates the correlation between internal and external environmental factors and charger management operation, compares the predicted estimates with real-time measured values, and performs normal operation of the charger from them. The optimal estimation model is selected so that the predicted value and the estimated value in the case of the state are close to each other, and by constantly monitoring the predicted value and the measured value by using the selected estimation model, the cause is analyzed and the cause of the abnormal state that varies beyond the critical range is analyzed. It analyzes whether an abnormality occurs or whether an abnormality occurs due to internal factors of the charger (abnormal operation or error of the charger), and has an analysis procedure to predict failure or accident in advance.In the analysis of abnormal conditions of the charger, changes according to the time change of the charger Can be tracked, and by analyzing the relationship between the charger and internal and external environmental factors, the charger operation rules are updated, and a precise analysis is performed based on the operation rules, thereby providing a system capable of more stable operation status management.
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