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Oiling machine abnormal sound analysis and fault early warning system based on artificial intelligence and big data

A technology of artificial intelligence and tanker, which is applied in speech analysis, testing of mechanical components, testing of machine/structural components, etc., can solve problems such as processing time lag and fault handling that cannot achieve early warning effects, and improve accuracy , improve accuracy and improve safety

Inactive Publication Date: 2021-01-15
张鹏
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with this method is that it can only monitor the safety of the gas station environment, and the collected information will only change significantly after the fault has occurred. It cannot have an early warning effect on fault handling, and there is a lag in processing time.

Method used

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  • Oiling machine abnormal sound analysis and fault early warning system based on artificial intelligence and big data
  • Oiling machine abnormal sound analysis and fault early warning system based on artificial intelligence and big data
  • Oiling machine abnormal sound analysis and fault early warning system based on artificial intelligence and big data

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Embodiment 1

[0038] The abnormal sound analysis and fault warning system of fuel tankers based on artificial intelligence and big data includes cloud and local terminals. The cloud stores the linear spectrograms, sound feature vectors and vectors of the internal audio of various types of tankers in different locations. The category, the local end, stores the linear spectrogram, sound feature vector, and category of the internal audio of the tanker at different locations that are the same as the model of the local tanker.

[0039] The present invention needs to build a big data platform, and the platform has two forms: cloud and local. The cloud is responsible for storing the linear spectrogram, feature vector and category of the internal audio of various types of tankers in different locations. The local end only stores the linear spectrogram, feature vector and category of the internal audio of the tanker at different locations with the same model as the local tanker. During non-working ...

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Abstract

The invention discloses an oiling machine abnormal sound analysis and fault early warning system based on artificial intelligence and big data. The system comprises a cloud end and a local end, and further comprises a spectrogram processing module used for processing oiling machine audio signals input in real time to obtain a linear spectrogram; an abnormal sound detection module, which is used for analyzing the input linear spectrogram of the single period and outputting a judgment result about whether an abnormal condition exists or not; and a fault early warning module, which is used for carrying out fault judgment according to the data of the vibration sensor in the oiling machine and the result of the abnormal sound detection module. According to the invention, oiling machine fault early warning can be realized.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a system for abnormal sound analysis and fault warning of fuel dispensers based on artificial intelligence and big data. Background technique [0002] At present, the abnormality detection of fuel dispensers is generally carried out through manual inspection. However, since fuel dispenser faults usually occur inside the dispenser, manual inspection is difficult and not suitable for daily inspections. The document whose publication number is CN110493566A discloses a safety identification system for a gas station based on video analysis, and a method for early warning of faults through environment perception sensors and video monitoring. The sensor monitoring information used is temperature and humidity, ammonia content, smoke, etc. The problem with this method is that it can only monitor the safety of the gas station environment, and the collected information will...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/51G01M13/00G10L25/03G10L25/18
CPCG01M13/00G10L25/03G10L25/18G10L25/51
Inventor 张鹏黄日光
Owner 张鹏