An open-path sensor for simultaneous atmospheric pressure detection of CO and CH4 around 2.33 μm

Dang, Jingmin; Kong, Lijuan; Zheng, Chuantao; Wang, Yiding; Sun, Yujing; Yu, Hao

doi:10.1016/j.optlaseng.2019.06.024

Cited by 31 publications

(12 citation statements)

References 32 publications

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“…However, a simple comparison is investigated here with some recently reported systems employing MIR laser spectroscopy detection schemes. Our NIR sensor performance is comparable with those established MIR laser based schemes at wavelengths around 3.3 and 7.9 μm 6,13,15,16 . However, the high sensitivities achieved by MIR gas sensors involve rather expensive quantum cascade lasers (QCLs) which permit to target the strong fundamental rotational‐vibrational transitions in the MIR spectral region, which are typically one or two orders of magnitude stronger than the overtone transitions in the NIR at wavelengths around 1.65 μm.…”

Section: Resultsmentioning

confidence: 56%

“…Our NIR sensor performance is comparable with those established MIR laser based schemes at wavelengths around 3.3 and 7.9 μm. 6,13,15,16 However, the high sensitivities achieved by MIR gas sensors involve rather expensive quantum cascade lasers (QCLs) which permit to target the sensor system for open-path applications, such as toxic and harmful gas leakage monitoring and early warning.…”

Section: Resultsmentioning

confidence: 99%

“…The relative research shows that the broadening effect of H 2 O has a non-negligible influence on retrieving trace gases concentration with high accuracy, especially in a high-humidity environment. 8 To date, a variety of analytical techniques have been developed for trace CH 4 detection, such as electrochemical sensors, 9 gas chromatography, 10 and optical spectroscopic techniques, for example, direct absorption spectroscopy (DAS), 11,12 wavelength modulation (WM), or frequency modulation spectroscopy, 13,14 photoacoustic spectroscopy (PAS) or quartz-enhanced PAS (QEPAS), [15][16][17] cavity ringdown spectroscopy (CRDS), and its variation integrating cavity output spectroscopy and cavity-enhanced absorption spectroscopy (CEAS). 18,19 In comparison, laser absorption spectroscopy shows the unique advantages of calibration-free, high sensitivity and selectivity, rapid responsibility, non-destructive, environmentally friendly analysis.…”

Section: Introductionmentioning

confidence: 99%

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High sensitivity open‐path gas sensor based on a triangular multi‐pass cell

Sang

Zhou

et al. 2021

Micro & Optical Tech Letters

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In this article, a gas sensing technique utilizing a compact multi‐pass absorption cell in a triangular configuration was proposed for open‐path trace gases detection. To demonstrate this technique, an open‐path gas sensor system was developed by combing the innovated triangular multi‐pass cell with a near infrared distributed feedback diode laser (at 1.65 μm) for simultaneous detection of atmospheric CH4 and H2O. A Gaussian‐noise‐limited limit of detection of approximate 52 ppb and 445 ppm were achieved for CH4 and H2O, respectively, with 1 Hz sampling rate and at normal atmospheric pressure. Allan variance analysis indicates that a sensitivity of 5.5 ppb (for CH4) and 75 ppm (for H2O) could be obtained at the optimal averaging time of 300 s, which is comparative with the mid‐infrared laser based gas sensors. This technique will be a critical tool for developing low‐cost open‐path trace gas monitoring networks for environmental, industrial, and public security applications.

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Section: Resultsmentioning

confidence: 56%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High sensitivity open‐path gas sensor based on a triangular multi‐pass cell

Sang

Zhou

et al. 2021

Micro & Optical Tech Letters

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“…Open-path detectors may be used for the latter. (55)(56)(57) The open-path detector consists of two separate block-radiational and measuring-which are placed at a distance from one another (Fig. 3).…”

Section: Optical Sensorsmentioning

confidence: 99%

Latest Progress in Sensors for Pre-explosive Detection of Flammable Gases: A Review

Baranov¹,

Osipova²

2022

Sensors and Materials

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In this paper, we present a brief review of current trends in the development of technologies for manufacturing sensors of flammable gases and volatile organic compounds at pre-explosive concentrations. Different types of gas sensor, including catalytic, semiconductor, and optical sensors, and the principles of their operation are discussed. The advantages and disadvantages of each type of gas sensor are shown. New and traditional production technologies of sensitive elements are discussed, providing improvements of sensor parameters such as effectiveness, miniaturization, and reduction of energy consumption. In conclusion, we suggest future trends and prospects for research and development to increase the sensitivity and selectivity of sensors.

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“…Therefore, the test set’s demand for methane sensors with high stability and sensitivity is gradually increasing. At present, methane sensors based on absorption spectroscopy are widely employed because of their high sensitivity, good selectivity, resistance to electromagnetic interference, long life, and contact-free measurements. − …”

Section: Introductionmentioning

confidence: 99%

Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors

et al. 2022

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Noise significantly limits the accuracy and stability of retrieving gas concentration with the traditional direct absorption spectroscopy (DAS). Here, we developed an adaptively optimized gas analysis model (AOGAM) composed of a neural sequence filter (NSF) and a neural concentration retriever (NCR) based on deep learning algorithms for extraction of methane absorption information from the noisy transmission spectra and obtaining the corresponding concentrations from the denoised spectra. The model was trained on two data sets, including a computationally generated one and the experimental one. We have applied this model for retrieving methane concentration from its transmission spectra in the near-infrared (NIR) region. The NSF was implemented through an encoder–decoder structure enhanced by the attention mechanism, improving robustness under noisy conditions. Further, the NCR was employed based on a combination of a principal component analysis (PCA) layer, which focuses the algorithm on the most significant spectral components, and a fully connected layer for solving the nonlinear inversion problem of the determination of methane concentration from the denoised spectra without manual computation. Evaluation results show that the proposed NSF outperforms widely used digital filters as well as the state-of-the-art filtering algorithms, improving the signal-to-noise ratio by 7.3 dB, and the concentrations determined with the NCR are more accurate than those determined with the traditional DAS method. With the AOGAM enhancement, the optimized methane sensor features precision and stability in real-time measurements and achieves the minimum detectable column density of 1.40 ppm·m (1σ). The promising results of the present study demonstrate that the combination of deep learning and absorption spectroscopy provides a more effective, accurate, and stable solution for a gas monitoring system.

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An open-path sensor for simultaneous atmospheric pressure detection of CO and CH4 around 2.33 μm

Cited by 31 publications

References 32 publications

High sensitivity open‐path gas sensor based on a triangular multi‐pass cell

High sensitivity open‐path gas sensor based on a triangular multi‐pass cell

Latest Progress in Sensors for Pre-explosive Detection of Flammable Gases: A Review

Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors

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