You can view the full text of this article for free using the link below.

Title: A real-time data acquisition method of industrial production line based on OPC technology

Authors: Airong Xu; Panpan He; Kaiyuan Meng; Jijun Xue; Chao Wang

Addresses: College of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China ' College of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China ' Software Research Institute, College of Computer Science, Xi'an Shiyou University, Xi'an 710065, China ' College of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China ' College of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China

Abstract: In view of the low timeliness and accuracy of traditional production line data acquisition methods, this study proposed a real-time data acquisition method of industrial production line based on OPC technology. Considering the heterogeneity of industrial production line data sources, a data transmission scheme is generated based on OPC technology and multi-point communication with Modbus protocol after data preprocessing by piecewise linear interpolation method. Then, the improved decision tree algorithm is used to design the data processing mode. Finally, the current state of industrial production line data is judged by comparing the threshold value, and the real-time data collection of industrial production line is completed after the collection interval is determined. Experimental results show that the acquisition accuracy of this method is up to 96.8%, the maximum acquisition time is only 12.5 s, and the highest packet loss rate is only 1.89%, indicating that this method improves the acquisition quality.

Keywords: OPC technology; industrial production line; real-time data acquisition; piecewise linear interpolation; Modbus protocol; decision tree algorithm.

DOI: 10.1504/IJIMS.2023.129285

International Journal of Internet Manufacturing and Services, 2023 Vol.9 No.1, pp.16 - 31

Received: 19 Jan 2022
Accepted: 05 Jun 2022

Published online: 03 Mar 2023 *

Full-text access for editors Full-text access for subscribers Free access Comment on this article