Hydraulic system oil leakage fault degree detection method based on artificial intelligence

A hydraulic system and fault degree technology, which is applied in the field of detection of hydraulic system oil leakage fault degree based on artificial intelligence, can solve the problem of consuming large human resources

Active Publication Date: 2022-07-08
江苏新之阳新能源科技有限公司
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a hydraulic system oil leakage fault detection method based on artificial intelligence, which is used to solve the problem of whether there is hydraulic oil in the hydraulic system by manual inspection. The problem of consuming a lot of human resources when detecting leaks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hydraulic system oil leakage fault degree detection method based on artificial intelligence
  • Hydraulic system oil leakage fault degree detection method based on artificial intelligence
  • Hydraulic system oil leakage fault degree detection method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be introduced below with reference to the accompanying drawings in the embodiments of the present invention.

[0028] This embodiment aims to solve the problem of consuming a large amount of human resources when the existing manual detection of hydraulic oil leakage occurs in the hydraulic system, such as figure 1 As shown, the artificial intelligence-based hydraulic system oil leakage fault detection method in this embodiment includes the following steps:

[0029] (1) Obtain the RGB image of the ground area under the hydraulic system, and determine the suspected hydraulic oil leakage area in the RGB image based on the pixel value of each pixel in the RGB image;

[0030] When a hydraulic oil leakage fault occurs in the hydraulic system, the hydraulic oil will flow to the ground bel...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a hydraulic system oil leakage fault degree detection method based on artificial intelligence, and belongs to the field of hydraulic system oil leakage detection. The method comprises the following steps: obtaining an RGB image of a ground area under a hydraulic system, and determining a suspected hydraulic oil leakage area in the RGB image based on the pixel value of each pixel point in the RGB image; according to the descriptor of each pixel point in the suspected hydraulic oil leakage area and the descriptor of the corresponding pixel point when leakage does not occur, calculating the leakage confidence of each pixel point in the suspected hydraulic oil leakage area; and judging whether the leakage confidence coefficient of each pixel point in the suspected hydraulic oil leakage area is greater than a set pixel point confidence coefficient or not, if the leakage confidence coefficient of each pixel point in the suspected hydraulic oil leakage area is greater than the set pixel point confidence coefficient, marking the corresponding pixel point as a leakage pixel point, and judging the severity of hydraulic oil leakage according to the leakage pixel point. The invention belongs to an automatic detection method, and solves the problem of high manpower resource consumption caused by manual detection.

Description

technical field [0001] The invention relates to the field of hydraulic system oil leakage detection, in particular to a hydraulic system oil leakage fault detection method based on artificial intelligence. Background technique [0002] For the failures that can occur in the hydraulic system, hydraulic oil leakage occurs frequently; hydraulic oil leakage not only causes waste of hydraulic oil resources, but also causes pollution to the environment, low system work efficiency, and serious problems will lead to hydraulic system not functioning properly. [0003] At present, the oil leakage phenomenon of hydraulic system is generally detected by manual observation by operation and maintenance operators, which requires a large amount of human resources; how to realize automatic detection of oil leakage phenomenon in hydraulic system is an important problem that needs to be solved to reduce the consumption of human resources. . SUMMARY OF THE INVENTION [0004] The purpose of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06T7/90G06K9/62G06V10/762
CPCG06T7/0002G06T7/62G06T7/90G06F18/23213
Inventor 张保廷徐根保唐成颖王凤熊健
Owner 江苏新之阳新能源科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap