Industrial equipment surface defect fault early warning method based on edge calculation

A technology for industrial equipment and fault early warning, applied in the field of fault early warning of industrial equipment surface defects based on edge computing, which can solve the problems of difficult to obtain performance detection models, less fault data, and difficult to obtain.

Pending Publication Date: 2021-08-03
SHANDONG INSPUR SCI RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The invention introduces an internet-of things (IoT) technology that helps reduce errors caused by regular usage of images on devices like smartphones or tablets during testing processes. This can help detect any issues with these models without being able to make them look good enough for analysis purposes.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving the accuracy and speed at detecting failures on internet connected things (IoT) systems used for monitoring their status during various stages of operations. Current methods require complicated computations that cannot be done with low-quality videos captured through cameras attached to these machines due to poor signal reception caused by noise interference. Deep Learning has been developed recently but its use remains limited because of difficulties handling large amounts of high-quality input data obtained over long periods of time.

Method used

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  • Industrial equipment surface defect fault early warning method based on edge calculation

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Embodiment Construction

[0018] Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0019] An industrial equipment surface defect failure warfront based industrial equipment, including the following steps:

[0020] (1) Build a data set: acquire the normal image data of the normal image data to be detected; image data;

[0021] (2) Grayness and normalize the input data;

[0022] (3) Enter the coding method of the normal image;

[0023] (4) Complete the training of images;

[0024] (5) Uninstall the reasoning task to the terminal and determine the real-time data acquired by the sensor.

[0025] like figure 1 As

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Abstract

The invention provides an industrial equipment surface defect fault early warning method based on edge calculation. The industrial equipment surface defect fault early warning method based on edge calculation comprises the following steps: (1) constructing a data set: acquiring multi-angle and multi-scale image data of normal image data of equipment to be detected; (2) graying and normalizing the input data; (3) inputting into a cascade self-coding network, and learning a coding and decoding mode of a normal image; (4) completing image training; and (5) unloading the reasoning task to the terminal, and judging the real-time data acquired by the sensor.

Description

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Claims

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Application Information

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Owner SHANDONG INSPUR SCI RES INST CO LTD
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