Air-cooled cooling system equipped with an automatic damper interlocked with outside temperature based on deep learning

摘要

The present invention relates to an air-cooled cooling system equipped with a deep learning-based outdoor temperature-linked automatic damper, the configuration of which is an air-cooled cooling system comprising a frame, a blower fan, and a pair of fin tube coils, the A side panel damper installed on the opened side of the frame and configured to be rotatable with respect to the frame is continuously arranged and installed to allow air to flow into the space generated when the damper blade is rotated, and the opened side of the frame A damper part installed to cover an upper surface and including an upper panel damper through which internal air is discharged to the outside through the central part by the blowing fan; A temperature measuring sensor installed on one side of one of the upper panel damper or the side panel damper to periodically measure an external temperature; A data storage unit that converts the information measured from the temperature measurement sensor into a database and stores it, a data conversion unit that extracts data from the data storage unit to generate a deep learning algorithm, and a current temperature value through deep learning from the data conversion unit. And a controller configured to derive and control a temperature prediction unit that predicts a rotation value of a driving force generator with respect to the temperature value based on the deep learning algorithm.