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

Assembly line scheduling system and method based on PLC and AI identification results

A technology for identifying results and scheduling systems, applied in control/regulation systems, general-purpose control systems, and program control in sequence/logic controllers, etc. It can solve the problem that the manual recognition speed is slow, the solution structure is too complex, and the overall structure is simple.

Inactive Publication Date: 2021-06-29
SHANDONG UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a pipeline scheduling system based on PLC and AI recognition results, adopting PLC control based on AI recognition results can effectively solve the problems of slow manual recognition speed and low degree of automation of pipeline operation
At the same time, the use of PLC with the position sensor can ensure that the products to be detected enter and leave the diversion area, ensure the orderly and stable operation of the assembly line, and solve the problem that the structure of the industrial assembly line is too complicated

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
  • Assembly line scheduling system and method based on PLC and AI identification results
  • Assembly line scheduling system and method based on PLC and AI identification results
  • Assembly line scheduling system and method based on PLC and AI identification results

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] A pipeline scheduling system based on PLC and AI recognition results, such as figure 1 As shown, including camera input module, sensor group module, PLC control module, host computer module, motor module;

[0060] The photo input module is used to take pictures of the appearance of the product to be detected on the assembly line, and input the photo of the appearance of the product to the upper computer module;

[0061] The AI ​​target detection algorithm is deployed in the upper computer module to detect whether the appearance of the product is qualified, and control the output of the PLC control module according to the detection results;

[0062] The sensor group module is used to detect the position of the product on the assembly line, and input the position of the product on the assembly line to the PLC control module;

[0063] The PLC control module controls the operation of the motor module based on the detection results of the upper computer module and the posit...

Embodiment 2

[0066] According to the pipeline scheduling system based on PLC and AI recognition results provided in Embodiment 1, the difference is that:

[0067] The assembly line includes a snapshot detection area, diversion area, qualified area and unqualified area; the snapshot detection area, diversion area, and qualified area are connected sequentially along the production line transportation direction; the unqualified area is connected with the diversion area, and the unqualified area is vertical to the production line direction of transport;

[0068] A camera input module is arranged in the capture detection area; in this embodiment, the camera input module adopts an industrial camera;

[0069] The sensor group module includes a first sensor, a second sensor and a third sensor, such as Image 6 As shown, a first sensor is provided at the junction of the snap detection area and the diversion area, and the first sensor is used to detect whether the product has completely left the sn...

Embodiment 3

[0084] A pipeline flow scheduling method based on PLC and AI results, based on the pipeline flow scheduling system provided in embodiment 1 or 2, such as Figure 7 As shown, the specific methods include:

[0085] S1. Start the air conditioner external unit detection pipeline, such as Image 6As shown in , the assembly line transports the air conditioner external unit according to the production line transportation direction. When it is detected that the product enters the snapshot detection area, the camera input module (industrial camera on the assembly line) captures the appearance photo of the product (air conditioner external unit) and sends the captured The photos are uploaded to the host computer module; the host computer module is a computer that deploys the trained AI target detection algorithm;

[0086] S2. Deploy the trained AI target detection algorithm in the host computer module. The trained AI target detection algorithm detects and recognizes the photos of the a...

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 an assembly line scheduling system and method based on PLC and AI recognition results. In the system, a photographing input module photographs the appearance of a product and inputs a picture to an upper computer module; the upper computer module controls the output of a PLC control module according to a detection result of the appearance of the product; a sensor group module detects the position of the product on an assembly line, and position information is input to the PLC control module; the PLC control module controls the operation of a motor module; the motor module inputs qualified products and unqualified products to different areas on the assembly line based on output of the PLC control module, and separate scheduling is achieved. The PLC control based on an AI recognition result effectively solves the problems that the manual recognition speed is low and the automation degree of assembly line operation is low. Meanwhile, the PLC is matched with a sensor for use, so that to-be-detected products can enter and leave a shunting area, and the problem that an industrial assembly line structure is too complicated is solved.

Description

technical field [0001] The invention relates to a pipeline scheduling system and scheduling method based on PLC and AI recognition results, belonging to the technical fields of control science and engineering and pipeline industrial production. Background technique [0002] With the development of AI (Artificial Intelligence, artificial intelligence) technology, the industry welcomes the development opportunity of intelligent manufacturing. However, at present, most industrial enterprises do not have a deep understanding of the application potential of AI, and industrial big data also lacks appropriate analysis and processing methods after collection. Considering the opacity of AI technology and the complexity of industrial production sites, the practicability, reliability and replicability of industrial technology still need to be considered. [0003] The operation of industrial assembly line often uses PLC to participate in the control. PLC, also known as programmable lo...

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): G05B19/05
CPCG05B19/054G05B2219/1103
Inventor 张海霞马睿袁东风王翊州
Owner SHANDONG UNIV
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