Chrome Extension
WeChat Mini Program
Use on ChatGLM

Implementation and Performance Evaluation of the Real-Time Algorithms for Wendelstein 7-X Divertor Protection System for OP2.1

Fusion Engineering and Design(2023)SCI 3区

Lodz Univ Technol | Max Planck Inst Plasma Phys

Cited 2|Views46
Abstract
A new Infrared (IR) image analysis system will be deployed for real-time divertor protection during the upcoming Operational Phase (OP) 2.1 in the Wendelstein 7-X (W7-X) stellarator. Its primary objective is to prevent thermal overloads from permanently damaging Plasma-Facing Components (PFCs), resulting in machine downtimes and repair costs. The real-time constraint for this system is 110 ms, which is the maximum allowed delay entailing the acquisition, calibration, processing, and interlock, while all processing steps have to complete within 10 ms allowing for processing longer than the acquisition time of 10 ms at 100 Hz. This paper describes the implementation, real-time processing performance and detection effectiveness of Thermal Overload Detection (TOD). The implemented and evaluated TOD system fulfils real-time constraints. It reduces the total system delay to 50 ms and provides high detection sensitivity of 0.97 for archived discharge sequences from the OP1.2 campaign. The attained acceleration is significant, i.e., a 95% and 99% decrease in runtime for the sequential Central Processing Unit (CPU) and parallel Graphics Processing Unit (GPU) implementations, respectively, compared to the initial Python prototype. For the first time, the presented results confirm the feasibility of protecting W7-X in real-time comprising fundamentals for further advanced protection and control.
More
Translated text
Key words
Graphics processing unit,Real-time,Image processing,Plasma diagnostics,Plasma-facing components
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文介绍了为 Wendelstein 7-X 聚变反应堆设计的实时红外图像分析系统,实现了在规定时间内对等离子体面组件的热过载检测,显著提高了处理速度和检测灵敏度。

方法】:文章描述了 Thermal Overload Detection (TOD) 系统的实现,采用特定的算法确保数据处理在极短时间内完成,满足实时性的严格要求。

实验】:研究使用了 OP1.2 运行阶段存档的放电序列进行测试,新系统将总延迟降至 50ms,并实现了 0.97 的高检测灵敏度,同时对比了顺序 CPU 和并行 GPU 实现的运行时间,分别达到了 95% 和 99% 的加速效果。