A Study on the Design and Implementation of ODSP in Different PLC of Production Process

Dal-Joong Kim (김달중); Phyoung-Jung Kim (김평중); 하수철

A Study on the Design and Implementation of ODSP in Different PLC of Production Process

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2015, 10(6), pp.707-721
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : December 31, 2015

Dal-Joong Kim ¹, Phyoung-Jung Kim ², 하수철 ¹

¹대전대학교
²충북도립대학교

Accredited

ABSTRACT

In this paper, we designed and implemented by ODSP(OPC Data Sharing Platform) to share data in real time the production facilities of different PLC. Also We made a ODSP that a management of manufacturing process integrated data from real-time. Interface of the production relies on providing DLL by the manufacturer for communication. We solved problem that Interface module programed in every DLL communication for different PLC with gathering server logic. In this paper, ODSP was implemented by system that solved providing real-time information about the End User for several different PLC data. ODSP services in real time from the different PLC by the OPC data sharing platform and stores the data in real-time, it is implemented to take advantage of a variety of information through the connection with other systems. In addition, automation equipment can be applied to production test reports submitted proof of origin for imports through the FTA partners in the export business operators. ODSP can be the self diagnosis of the real-time manufacturing graph, production management monitoring, facility management and production process. This shows middle-and-small companies can expand production management, process management, and PLC data sharing to real-time production operation management by the level and sector, and can control production facility by the real-time base.

KEYWORDS

OPC server, Factory automation, MES, Automated diagnosis, PLC, Databases, Realtime data sharing

Citation status

* References for papers published after 2023 are currently being built.

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89