Kim J B, Lee W, Yun G S, Park H K, Domier C W, Luhmann N C
Department of Physics, POSTECH, San-31, Hyoja-dong, Nam-gu, Pohang, Kyungbuk 790-784, South Korea.
Rev Sci Instrum. 2010 Oct;81(10):10D931. doi: 10.1063/1.3479023.
A new innovative electron cyclotron emission imaging (ECEI) diagnostic system for the Korean Superconducting Tokamak Advanced Research (KSTAR) produces a large amount of data. The design of the data acquisition and processing system of the ECEI diagnostic system should consider covering the large data production and flow. The system design is based on the layered structure scalable to the future extension to accommodate increasing data demands. Software architecture that allows a web-based monitoring of the operation status, remote experiment, and data analysis is discussed. The operating software will help machine operators and users validate the acquired data promptly, prepare next discharge, and enhance the experiment performance and data analysis in a distributed environment.
一种用于韩国超导托卡马克先进研究装置（KSTAR）的新型创新电子回旋辐射成像（ECEI）诊断系统会产生大量数据。ECEI诊断系统的数据采集与处理系统设计应考虑应对大量数据的产生与流动。该系统设计基于可扩展的分层结构，以便未来能适应不断增长的数据需求。文中讨论了一种允许基于网络监测运行状态、进行远程实验和数据分析的软件架构。该操作软件将帮助机器操作员和用户迅速验证采集到的数据，为下一次放电做准备，并在分布式环境中提高实验性能和数据分析能力。
