Superstructure of yOTs-the network-based chemical process operator training system for multiple trainees
- PDF / 1,193,987 Bytes
- 8 Pages / 597.28 x 842.28 pts Page_size
- 25 Downloads / 136 Views
Superstructure of yOTS-The Network-Based Chemical Process Operator Training System for Multiple Trainees Seonyong Park, Sujin Lee and IF Moon' Department of Chemical Engineering, Yonsei University, t34 Shinchon-dong, Seodaemun-gu, Seoui t20-749, Korea
(Receit'ed 3 August 1999. accepted 28 .hme 2001) Abstract-OTS (Operator Training System) is becoming popular tbr the sate mid efl?ctive operation of chemical processes and control systems. This paper outlines the total ilardware system superstructure and software modules of yOTS t Yonsei Operator ]raining Systcnn) which we developed, yOTS is a netwoN ba,,,ed multi-training system cornposed of a workstation-based sea, er module and PC-based user modules. The user module has a DCS-like user interlhce and sends data to OM tyOTS Mmlager) over the network, Reliability and stability are essential for ,,he successful development of distributed OTS. State-@HTe-arl technologies of efficiency and stability are main b considered in this paper, yOTS is superior to other OTS in its ease of handling discrete events, managing process models, expanding module functionality and multi-training ox,er the network. The structure ofyOTS and core algorithm lbr a multiple trainer over the network is also presented. A batch process example is used to illustrate the pruposed advantages ofyOTS. Key' words: Operator Training Sy~em, Network Based Multi-Training, Training Simulator. Virtuat Reality, Chemical ees~r163
INTRODUCTION
sinus. Implementing OTS requires the ability to handle both discrete and continuous dynamic behaviors such as pump on/off` valve open/ close and discrete phase changes, It also requires fast computation, flexible interfaces among modules, efficient database for storing/ retrieving emergency scenarios and the history of personal trotting, distributed system architecture, multiple execution, numerical solvers and psychological understanding of local operators, Based on these techniques, we have been developing yOTS, which is bet*er in handling discrete events, managing process models, multi-training over the network and evaluating the operator's capabilities. The network-based architecture allows multi-trainees' link and execution, "[hese algorithms are mainly emphasized in this paper. Current yOTS can train about I0 persons or more simultaneously and allows users to access the system anywhere on the network by using a special interface.
The safe and efficient operation of chemical processes is becoming more important because chemical industries are mote competitive and government safety regulations are becoming more strict |Dessonky, 1993: Park and Moon, 1994], Major accidents in chemical industry such as fires, explosions and toxic chemical releases are mainly caused by unskilled operators and careless operations [Nicholas, f995], So systematically training plant operators is a main topic in the area of the process safety and operation. One effective way of training owrators is by using a vimJal reality simulator [Shier et aL, 1996]. OTS includes a virtual environment
Data Loading...