Yang Xiu, Chen Baisong, He Yuyang, Zhu Chenchen, Zhou Xing, Liang Yize, Li Biao, Yin Xukun
Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China.
School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
Sensors (Basel). 2024 Dec 11;24(24):7911. doi: 10.3390/s24247911.
A highly sensitive sulfur dioxide (SO) photoacoustic gas sensor was developed for the sulfur hexafluoride (SF) decomposition detection in electric power systems by using a novel 266 nm low-cost high-power solid-state pulse laser and a high -factor differential photoacoustic cell. The ultraviolet (UV) pulse laser is based on a passive -switching technology with a high output power of 28 mW. The photoacoustic signal was normalized to the laser power to solve the fluctuation of the photoacoustic signal due to the power instability of the UV laser. A differential photoacoustic cell can obtain a high -factor and reduce the gas flow noise in SF buffer gas. The parameters of the SO sensor system were optimized in terms of laser power and operating pressure. A 1σ detection limit (SNR = 1) of 2.34 ppb was achieved with a 1 s integration time, corresponding to a normalized noise equivalent absorption (NNEA) coefficient of 7.62 × 10 cmWHz.
通过使用新型266nm低成本高功率固态脉冲激光器和高系数差分光声池，开发了一种用于电力系统中六氟化硫（SF）分解检测的高灵敏度二氧化硫（SO）光声气体传感器。紫外（UV）脉冲激光器基于被动开关技术，输出功率高达28mW。将光声信号归一化为激光功率，以解决由于紫外激光功率不稳定导致的光声信号波动问题。差分光声池可以获得高系数，并降低SF缓冲气体中的气流噪声。在激光功率和工作压力方面对SO传感器系统的参数进行了优化。在1s积分时间下实现了2.34ppb的1σ检测限（SNR = 1），对应于7.62×10 cmWHz的归一化噪声等效吸收（NNEA）系数。
