Diagnosis method of sewage condition using Deep Learning based on acoustic in-out data

摘要

The present invention relates to a method of collecting water supply pipe information through noise and vibration sensors and diagnosing water leakage through deep learning of a server computer. The present invention does not need to be installed directly in the water supply pipe, such as a flow meter, and can collect a signal related to the flow rate without affecting the current water supply facility. We would like to provide a method that allows the server to collect them and provides leak information using a method that is more than a simple pattern analysis method for the transmitted signal.