The development of gyrotron data management system for ECRH system based on InfluxDB

Wang Xiaojie; Chang Haoming; Wu Zege; Hu Huaichuan; Liu Fukun

doi:10.1016/j.net.2025.103489

논문KCI 등재

The development of gyrotron data management system for ECRH system based on InfluxDB

Wang Xiaojie|Chang Haoming|Wu Zege|Hu Huaichuan|Liu Fukun

한국원자력학회 (Korean Nuclear Society)|2025.07|Nuclear Engineering and Technology|제57권 제7호|DOI 10.1016/j.net.2025.103489

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키워드

InfluxDB Data processing Data storage ECRH Gyrotron Spring boot

주제분류원자력공학

초록

The Electron Cyclotron Resonance Heating (ECRH) system is a critical method for heating in magnetic confinement nuclear fusion, with the gyrotron as its core component, generating substantial time-series data. Previous approaches used MDSplus to archive this data, segmenting long-pulse data across various storage formats, which posed challenges in retrieval and scalability. This study proposes replacing MDSplus with InfluxDB, a time-series database optimized for efficient storage and retrieval. The data is categorized into static parameter datasets and dynamic waveform datasets, with MySQL utilized for static parameter management and InfluxDB for dynamic waveform storage. Customized scripts were developed to process waveform data, ensuring compatibility and enhanced performance. The system is implemented with a Spring Boot architecture and an MVVM design pattern. Performance evaluations reveal that the proposed system improves data retrieval efficiency compared to the previous MDSplus-based system. These enhancements provide a scalable and robust solution for managing multi-tube gyrotron data, establishing a strong foundation for advanced fusion research and applications.

Abstract

The Electron Cyclotron Resonance Heating (ECRH) system is a critical method for heating in magnetic confinement nuclear fusion, with the gyrotron as its core component, generating substantial time-series data. Previous approaches used MDSplus to archive this data, segmenting long-pulse data across various storage formats, which posed challenges in retrieval and scalability. This study proposes replacing MDSplus with InfluxDB, a time-series database optimized for efficient storage and retrieval. The data is categorized into static parameter datasets and dynamic waveform datasets, with MySQL utilized for static parameter management and InfluxDB for dynamic waveform storage. Customized scripts were developed to process waveform data, ensuring compatibility and enhanced performance. The system is implemented with a Spring Boot architecture and an MVVM design pattern. Performance evaluations reveal that the proposed system improves data retrieval efficiency compared to the previous MDSplus-based system. These enhancements provide a scalable and robust solution for managing multi-tube gyrotron data, establishing a strong foundation for advanced fusion research and applications.

참고문헌 (32)

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