Abstract
As the use of dynamic process simulation in industry has increased, a need has emerged for an easy way to configure reliable and powerful data exchange between simulation applications and distributed control systems (DCS's). A system where the control applications and man-machine interfaces of the real DCS are connected to a simulation model of the process, can be used for building, tuning and testing the control system implementation, and for training the operators, independently from the plant hardware. OPC (OLE for Process Control) is a set of component specifications widely used in the automation domain for software application interoperability. OPC Data Access interfaces have been used e.g. for connecting DCS applications of multiple vendors to simulation models. This paper discusses architecture and design issues that affect the performance of the OPC data exchange in applications involving simulation. The performance test results of an OPC server designed according to the guidelines given show that OPC-based communication can offer sufficient data transfer capacity for most dynamic process simulation purposes.
| Original language | English |
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| Title of host publication | Proceedings of the 2001 International Symposium on Performance Evaluation of Computer and Telecommunication Systems |
| Editors | Mahammad Obaidat, Franco Davoli |
| Publisher | Society for Modeling and Simulation International |
| Pages | 231-235 |
| ISBN (Print) | 1-56555-240-7 |
| Publication status | Published - 2001 |
| MoE publication type | B3 Non-refereed article in conference proceedings |
| Event | International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2001 - Orlando, United States Duration: 15 Jul 2001 → 19 Jul 2001 |
Conference
| Conference | International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2001 |
|---|---|
| Country/Territory | United States |
| City | Orlando |
| Period | 15/07/01 → 19/07/01 |
Keywords
- OPC
- performance evaluation
- process control
- automation design