ppb-Level SO2 光声传感器用于SF6 分解分析使用高功率紫外线激光与功率规范化方法
Xiu Yang1, Baisong Chen2, Yuyang He2
1Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
一个新的二氧化硫 (SO2) 传感器检测到电力系统中的硫六化物 (SF6) 分解. 这种高度敏感的设备使用了一种新型的紫外线激光和光声细胞进行精确的气体分析.
科学领域:
- 气体传感技术的技术
- 环境监测环境监测环境监测
- 电气工程 电气工程 电气工程
背景情况:
- 六化硫 (SF6) 是一种强大的温室气体,用于高压电气设备.
- SF6的降解可能会产生有害的副产品,如二氧化硫 (SO2),这表明设备有故障.
- 精确而敏感的SO2检测对于保持电力系统完整性和环境安全至关重要.
研究的目的:
- 开发一种高度灵敏的光声气体传感器,用于检测二氧化硫 (SO2).
- 为了能够在电力系统中检测SF6分解产品.
- 为了实现SO2的低检测极限,用于早期故障识别.
主要方法:
- 使用了一种新的266nm低成本,高功率的固态脉冲激光器.
- 采用高Q因子差异光声细胞来提高灵敏度.
- 实施了紫外线 (UV) 激光器的被动Q切换技术,实现28mW的输出功率.
- 将光声信号正常化为激光功率以减轻波动.
- 优化传感器参数,包括激光功率和工作压力.
主要成果:
- 达到了 1σ 检测极限,即 SO2 的每十亿分之 2.34 (ppb),整合时间为 1 秒.
- 获得了7.62 × 10−10 cm−1WHz−1/2.2. 的正常化噪声等效吸收系数 (NNEA).
- 证明了传感器对敏感的SO2检测能力,这与SF6分解有关.
结论:
- 开发的SO2光声学传感器提供了高灵敏度和低检测极限.
- 该传感器适用于在电力系统中监测SF6分解.
- 紫外线脉冲激光和差异光声细胞的新组合为气体分析提供了一个有前途的解决方案.
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