Integration MALLAB and S7-300 PLC System; Case study in Bottle Detecting
Main Article Content
Abstract
This Paper describes an implementation of using camera to capture image of bottle on conveyor belt. The image analysis will be done in order to determine a density of number of bottles (DNB) instead of using sensor or limit switch which activate when bottles arrived to detecting point of the sensor. The data from the image processing to be used in conjunction with the drive control system in order to adjust the belt speed in accordance with the amount of bottles in assigned zone on the conveyor. The image analysis will be done by MATLAB to obtain information on the number of bottles in the specific area. The data from MATLAB will be sent via OPC to S7-300 PLC for the motor speed control system. The experiment result shows that the system can exchange information and can actually work together.
Article Details
Article Accepting Policy
The editorial board of Thai-Nichi Institute of Technology is pleased to receive articles from lecturers and experts in the fields of business administration, languages, engineering and technology written in Thai or English. The academic work submitted for publication must not be published in any other publication before and must not be under consideration of other journal submissions. Therefore, those interested in participating in the dissemination of work and knowledge can submit their article to the editorial board for further submission to the screening committee to consider publishing in the journal. The articles that can be published include solely research articles. Interested persons can prepare their articles by reviewing recommendations for article authors.
Copyright infringement is solely the responsibility of the author(s) of the article. Articles that have been published must be screened and reviewed for quality from qualified experts approved by the editorial board.
The text that appears within each article published in this research journal is a personal opinion of each author, nothing related to Thai-Nichi Institute of Technology, and other faculty members in the institution in any way. Responsibilities and accuracy for the content of each article are owned by each author. If there is any mistake, each author will be responsible for his/her own article(s).
The editorial board reserves the right not to bring any content, views or comments of articles in the Journal of Thai-Nichi Institute of Technology to publish before receiving permission from the authorized author(s) in writing. The published work is the copyright of the Journal of Thai-Nichi Institute of Technology.
References
Pieter P. Jonker, “Image Processing Hardware for Counting Massive Object Streams”, IV Conference D: Architectures for Vision and Pattern Recognition (IAPR), International Conference, 1992, page(s) 31-33
OPC Foundation, OLE for Process Control Data Access Custom Interface Standard Version 2.5
OPC ToolboxTM User’s Guide 2004-2015 by The MathWorks, Inc., https://cn.mathworks.com/help/pdf_doc/opc/opc.pdf
Siements TCP/IP Ethemet Driver Help © 2015 Kepware Technologies; https://www.kepware.com/support/manuals/siemenstcp-ip-ethernet-manual.pdf.
Image Processing Toolbox™ User's Guide © COPYRIGHT 1993–2014 by The MathWorks, Inc.
Image Acquisition Toolbox™ User's Guide © COPYRIGHT 2013–2015 by The MathWorks, Inc.
Jae-Ho Kim, “Look-up table reduction using the relationship between pixel pitch and reconstructed distance”, Information and Communication Technology Convergence (ICTC), 2010, page(s) 205-204.
L.N. Wayne, “The Automated Inspection of Moving Webs using Machine Vision” IEE Colloquium in Application of Machine Vision, 1995, page(s) 3/1-3/8.
Zhang Lieping. “On Remote Real-time Communication between MATLAB and PLC Based on OPC Technology”. Control Conference Chinese (CCC), 2007, page(s) 545-548.