Abstract The present invention relates to a diagnosis method for collecting information of a water supply pipe through a noise and vibration sensor and detecting a leak of the water supply pipe using deep learning of a server computer with the collected information. The present invention provides a method for collecting a signal relevant to a flow rate without an effect on current water supply facilities as a flowmeter or the like does not need to be directly installed in a water supply pipe, wirelessly transmitting a signal in real time or in a degree similar to real time at the practicalities to collect the signal in a central server, and providing leak information by using a method for analyzing the transmitted signal instead of a simple pattern analysis method. 본 발명은 소음 및 진동 센서를 통해서 상수도 파이프의 정보를 수집하고 상기 수집된 정보를 서버컴퓨터의 딥러닝을 통해서 상수도의 누수를 진단하는 방법에 관한 것이다. 본원 발명은 유량계 등과 같이 상수도 배관 내에 직접 설치할 필요가 없이 현재 상수도 시설에 영향을 주지 않고 유량에 관한 신호를 수집할 수 있으며, 이를 실시간 또는 실질적인 면에서 실시간에 준하는 정도에서 신호를 무선으로 전달하여 중앙 서버에서 이를 취합할 수 있게 하고, 전달된 신호를 단순한 패턴 분석 방법 이상의 방법을 사용해서 누수 정보를 제공할 수 있는 방법을 제공하고자 한다.
AbstractList The present invention relates to a diagnosis method for collecting information of a water supply pipe through a noise and vibration sensor and detecting a leak of the water supply pipe using deep learning of a server computer with the collected information. The present invention provides a method for collecting a signal relevant to a flow rate without an effect on current water supply facilities as a flowmeter or the like does not need to be directly installed in a water supply pipe, wirelessly transmitting a signal in real time or in a degree similar to real time at the practicalities to collect the signal in a central server, and providing leak information by using a method for analyzing the transmitted signal instead of a simple pattern analysis method. 본 발명은 소음 및 진동 센서를 통해서 상수도 파이프의 정보를 수집하고 상기 수집된 정보를 서버컴퓨터의 딥러닝을 통해서 상수도의 누수를 진단하는 방법에 관한 것이다. 본원 발명은 유량계 등과 같이 상수도 배관 내에 직접 설치할 필요가 없이 현재 상수도 시설에 영향을 주지 않고 유량에 관한 신호를 수집할 수 있으며, 이를 실시간 또는 실질적인 면에서 실시간에 준하는 정도에서 신호를 무선으로 전달하여 중앙 서버에서 이를 취합할 수 있게 하고, 전달된 신호를 단순한 패턴 분석 방법 이상의 방법을 사용해서 누수 정보를 제공할 수 있는 방법을 제공하고자 한다.
Author KANG,ROO
PARK, JUNG HONG
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DocumentTitleAlternate 딥러닝을 통한 음향기반 상수도 누수 진단 방법
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Snippet The present invention relates to a diagnosis method for collecting information of a water supply pipe through a noise and vibration sensor and detecting a leak...
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SubjectTerms ANALOGOUS ARRANGEMENTS USING OTHER WAVES
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
SIGNALLING
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TESTING
TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES
TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILARSIGNALS
Title Diagnosis method for Detecting Leak of Water Supply Pipe using Deep Learning by Acoustic Signature
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