Apparatus for determining leakage using pipeline characteristics and noise pattern, and learning method thereof
AssigneeSc Solution Global Co., Ltd
InventorKwang Yun NA
Life of this patent
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Abstract
An apparatus for determining leakage using pipeline characteristics and a noise pattern according to the present disclosure comprises: a memory in which at least one process for determining leakage using pipeline characteristics and a noise pattern is stored; and a processor for performing an operation according to the process,
Claims10
An apparatus for determining a leakage using pipeline characteristics and a noise pattern, the apparatus comprising:
- a memory in which at least one process for determining the leakage using the pipeline characteristics and the noise pattern is stored;
- and
- a processor configured to perform an operation according to the process,
- wherein the processor is configured to:
- preset a pattern of a leakage signal generated in a pipeline;
- collect a vibration signal from a sensor unit installed in the pipeline;
- remove a signal according to the pipeline characteristics from the collected vibration signal;
- compare the removed vibration signal with a preset noise pattern so as to remove a corresponding noise pattern;
- and
- generate a vibration signal, from which the noise pattern is removed, as learning data so as to determine whether the leakage occurs, through a comparison with the set pattern of the leakage signal.
A method, which is performed by a processor of an apparatus and which is used to generate learning data for leakage determination using pipeline characteristics and a noise patterns, the method comprising:
- presetting a pattern of a leakage signal generated in a pipeline;
- collecting a vibration signal from a sensor unit installed in the pipeline;
- removing a signal according to the pipeline characteristics from the collected vibration signal;
- comparing the removed vibration signal with a preset noise pattern so as to remove a corresponding noise pattern;
- and
- generating a vibration signal, from which the noise pattern is removed, as learning data so as to determine whether the leakage occurs, through a comparison with the set pattern of the leakage signal.
Dependencies are inferred from the claim text.