Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent maintenance method and system for tobacco cutter based on automatic optical inspection technology

An automatic optical detection and shredding machine technology, which is applied in food science, computer parts, character and pattern recognition, etc., to achieve efficient and intelligent maintenance strategies, improve accuracy and adaptability

Active Publication Date: 2018-10-23
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the shortcomings of manual detection of the key components of the shredder in the prior art, the present invention provides an intelligent maintenance method and system for the shredder based on automatic optical detection technology

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
  • Intelligent maintenance method and system for tobacco cutter based on automatic optical inspection technology
  • Intelligent maintenance method and system for tobacco cutter based on automatic optical inspection technology
  • Intelligent maintenance method and system for tobacco cutter based on automatic optical inspection technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] An intelligent maintenance method for shredding machine based on automatic optical detection technology, such as figure 1 shown, including the following steps:

[0065] S100. Obtain an original image of the target component of the shredding machine, perform preprocessing on the original image, and obtain a preprocessed image;

[0066] S200. Perform image segmentation processing on the preprocessed image to obtain target image area data;

[0067] S300. Perform abstract dimensionality reduction processing on the target image area data, extract the feature quantities of the key features of the target image area data, and establish the feature quantities of the key features as a sample feature set and a target set;

[0068] S400. Establish a fault detection model for detecting each component of the shredder through the sample feature set and target set, and perform fault detection on the sample to be tested through the fault detection model to obtain a fault detection resu...

Embodiment 2

[0103] An intelligent maintenance system for wire cutters based on automatic optical detection technology, such as figure 2 As shown, it includes an image acquisition module 100, an image preprocessing module 200, an image segmentation module 300, a feature extraction module 400, a fault detection module 500, a health assessment module 600, an intelligent maintenance module 700, an update module 800 and a self-learning module 900;

[0104] The image acquisition module 100 is used to acquire the original image of the target part of the shredding machine;

[0105] The image preprocessing module 200 is configured to preprocess the original image to obtain a preprocessed image;

[0106] The image segmentation module 300 is configured to perform image segmentation processing on the preprocessed image to obtain target image area data;

[0107] The feature extraction module 400 is used to perform abstract dimension reduction processing on the target image area data, extract the fea...

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 discloses an intelligent maintenance method for a tobacco cutter based on an automatic optical inspection technology. The method comprises the following steps that an original image of atarget component of the tobacco cutter is acquired and preprocessed; the preprocessed image is identified and segmented to obtain target image region data; the target image region data is processed,characteristic quantities of key characteristics of the target image region data are extracted to be built into a sample characteristic set and a target set; a fault detection model detecting each component of the tobacco cutter is established through the sample characteristic set and the target set, and fault detection is performed to obtain a fault detection result; the fault detection result iscombined with an original evaluation result of the tobacco cutter to perform multi-level health assessment on the tobacco cutter so as to obtain the health assessment results of multiple levels; andthe fault detection result is integrated with the health assessment results to obtain an intelligent maintenance scheme for the tobacco cutter; and an intelligent maintenance strategy can be providedtimely, clearly and efficiently.

Description

technical field [0001] The invention relates to the technical field of shredding machine maintenance, in particular to an intelligent maintenance method and system for shredders based on automatic optical detection technology. Background technique [0002] The shredding machine is a kind of special equipment with high technical content and extremely complex mechanical structure among the shredding equipment in the cigarette industry. The state and performance of the key components of the shredding machine will directly determine the process quality index of shredded shreds, which in turn will affect the downstream Quality control of the entire process of splicing packages. At present, there are many problems in the key components of the shredder, the most prominent are two points: first, the cutter is prone to various defects, such as hard damage such as cracks and chipping of the blade, wear and stains, etc., which may further It causes process quality problems such as fil...

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
IPC IPC(8): A24B7/14G06T5/00G06T7/10G06K9/46
CPCA24B7/14G06T7/10G06V10/40G06T5/70
Inventor 张开桓楼阳冰吴芳基倪军
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com