量子电子学报 ›› 2025, Vol. 42 ›› Issue (5): 620-628.doi: 10.3969/j.issn.1007-5461.2025.05.004

• 光谱 • 上一篇    下一篇

基于光声光谱的变压器油中溶解气体高灵敏检测技术

陈兴龙 1, 陈可友 1, 万国华 1, 张春晓 1, 陈 珂 2*   

  1. 1 上海思源光电有限公司, 上海 213133; 2 大连理工大学, 辽宁 大连 116024
  • 收稿日期:2024-09-03 修回日期:2024-12-03 出版日期:2025-09-28 发布日期:2025-09-28
  • 通讯作者: E-mail: Chenke@dlut.edu.cn E-mail:E-mail: Chenke@dlut.edu.cn
  • 作者简介:陈兴龙 ( 1986 - ), 博士, 主要从事光学检测技术、电力系统在线监测技术方面的研究。E-mail: xlchen@mail.hfut.edu.cn
  • 基金资助:
    国家自然科学基金 (62275040)

High sensitivity detection technology for dissolved gases in transformer oil based on photoacoustic spectroscopy

CHEN Xinglong 1 , CHEN Keyou 1 , WAN Guohua 1 , ZHANG Chunxiao 1 , CHEN Ke 2*   

  1. 1 Shanghai Sieyuan Optoelctronic Co., Ltd., Shanghai 213133, China; 2 Dalian University of Technology, Dalian 116024, China
  • Received:2024-09-03 Revised:2024-12-03 Published:2025-09-28 Online:2025-09-28

摘要: 针对变压器运行状态实时监测的需求, 提出了一种基于光声光谱的绝缘油中溶解故障特征气体的检测技术。 根据变压器绝缘油中溶解故障特征气体总量小且析出困难等特点, 设计了一种高性能的小型化非共振式光声池。通 过同轴高反镜在光声池内构建双程激励结构, 有效地增强了光声信号幅度。将真空脱气装置与高性能非共振光声池 通过气路连接, 形成变压器油中溶解故障特征气体的自动化脱离与分析体系。优化吸收谱线的选择, 抑制水汽对标 志性故障特征气体乙炔的交叉干扰, 提高检测准确度。采用波长调制结合二次谐波探测技术, 降低了背景噪声, 进一 步提高了乙炔的检测灵敏度。实验结果表明, 该方案对变压器绝缘油中乙炔的检测极限可以达到0.05 μL/L。

关键词: 光谱学, 光声光谱, 真空脱气, 变压器, 油中溶解乙炔

Abstract: A detection technology for dissolved fault characteristic gases in insulating oil based on photoacoustic spectroscopy is proposed to meet the real-time monitoring requirement of transformer operation status. Considering the characteristics of low total amount and difficult separation of fault characteristic gases dissolved in transformer insulation oil, a high-performance miniaturized non-resonant photoacoustic cell is designed. By constructing a two-way excitation structure in the photoacoustic cell with a coaxial high-reflection mirror, the amplitude of the photoacoustic signal is effectively enhanced. By connecting a vacuum degassing device with the high-performance non-resonant photoacoustic cell through a gas circuit, an automated detachment and analysis system for dissolved fault characteristic gases in transformer oil is formed. By optimizing the selection of absorption spectral lines, the crossinterference of water vapour on the characteristic fault gas acetylene is suppressed and the detection accuracy is improved. In addition, by combining wavelength modulation technology with second harmonic detection technology, the background noise is reduced and the detection sensitivity of acetylene is further improved. The experimental results show that this proposed scheme can achieve a detection limit of 0.05 μL/L for acetylene in transformer insulation oil.

Key words: spectroscopy, photoacoustic spectroscopy, vacuum degassing, transformer, dissolved acetylene in oil

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