Check patentability & draft patents in minutes with Patsnap Eureka AI!

Modified plastics production line based on mechanical vision detection and detection method thereof

A technology of machine vision and production line, which is applied in the field of machine vision inspection and automation, can solve problems such as negligent plastic production quality and unqualified performance of plastic products, and achieve the effects of low cost, good practicability, and reduced burden

Inactive Publication Date: 2018-10-23
JIANGSU UNIVERSITY OF TECHNOLOGY
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the current plastic production line is usually equipped with machine inspectors, inspectors and testers to ensure the normal progress of the plastic production process, and the production of plastic is usually 24 hours a day, which also means that the caretakers are divided into black and white However, it is easy to neglect the quality of plastic production during the shift shift or when the caregivers are tired, resulting in unqualified performance of plastic products.

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
  • Modified plastics production line based on mechanical vision detection and detection method thereof
  • Modified plastics production line based on mechanical vision detection and detection method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the technical solutions of the present invention clearer and clearer to those skilled in the art, the present invention will be further described in detail below in conjunction with the examples and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0032] like figure 1 As shown, a modified plastics production line based on machine vision detection provided in this embodiment includes: a feeding bucket 8 for holding uniformly stirred plastic raw materials, color masterbatch, toner and additives; the feeding bucket 8 A single-screw feeding device 10 is connected to the top, and the single-screw feeding device 10 is connected to the glass fiber 9, so that the glass fiber 9 is fed together with the uniformly stirred plastic raw materials, color masterbatch, toner and additives; A twin-screw feeding extruder 11 for extruding linear plastics below the barrel 8; connected to the twin-screw feeding extruder 11, 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
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a modified plastics production line based on mechanical vision detection and a detection method thereof, and belongs to the technical field of machine vision detection and automation. The modified plastics production line comprises a feeding barrel, a double screw feeding extruder, an extruder control box, a transfer table, a plastic plate blanking machine, a vibrating table, a spiral feeding device, a storage tank and a single screw feeding device. A water temperature tank is arranged above the transfer table, a detection camera is installed on the vibrating table, andby detecting the color and size of plastic granulation captured by the detection camera, whether a fault exists in the whole process or not can be fed back to a monitoring room. The modified plasticsproduction line uses machine vision to detect the plastic granulation in the process of plastic production, makes an alarm and error reason feedback according to the color and shape of the plastic granulation, realizes the intelligent monitoring of the plastic production line, and reduces the burden of inspectors, and the equipment has good practicability and low cost.

Description

technical field [0001] The invention relates to a plastic production line and a detection method thereof, in particular to a modified plastic production line based on machine vision detection and a detection method thereof, belonging to the technical field of machine vision detection and automation. Background technique [0002] At present, the current plastic production line is usually equipped with machine inspectors, inspectors and testers to ensure the normal progress of the plastic production process, and the production of plastic is usually 24 hours a day, which also means that the caretakers are divided into black and white However, it is easy to neglect the quality of plastic production during the shift change or when the caregivers are tired, resulting in unqualified performance of plastic products. Contents of the invention [0003] The main purpose of the present invention is to provide a modified plastic production line based on machine vision detection and its...

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): B29B9/06B29C47/92B29C48/92
CPCB29B9/06B29C48/92B29C2948/92447
Inventor 杨龙兴杨成郭大伟张陈
Owner JIANGSU UNIVERSITY OF TECHNOLOGY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More