2018
DOI: 10.1155/2018/1342593
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Analysis and Design of an Effective Light Interference Methane Sensor Based on Three-Dimensional Optical Path Model

Abstract: As an important environmental monitoring equipment, the existing methane sensors or the traditional interferometer-based methane detectors have some drawbacks, such as low accuracy, large size, and complex calibration operations. Moreover, the optical path model and analysis method for the light interference methane sensor are not practical. In this paper, an effective light interference methane sensor is proposed based on a three-dimensional optical path model with point light source. Based on this model, the… Show more

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Cited by 3 publications
(2 citation statements)
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“…Strengthening effective monitoring, preventing and reducing the occurrence of disaster accidents have attracted wide attention [4]- [9]. Xia, Long et al studied new types of detection sensors [4], [5]. Xiao et al studied a small leak detection method based on variational mode decomposition adaptive de-noising and ambiguity correlation classification intended for natural gas pipelines [6].…”
Section: Introductionmentioning
confidence: 99%
“…Strengthening effective monitoring, preventing and reducing the occurrence of disaster accidents have attracted wide attention [4]- [9]. Xia, Long et al studied new types of detection sensors [4], [5]. Xiao et al studied a small leak detection method based on variational mode decomposition adaptive de-noising and ambiguity correlation classification intended for natural gas pipelines [6].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, a wide variety of sensors have been developed for carbon dioxide (CO 2 ) detection, such as a fluorescent and colorimetric chemosensor, electrochemical sensing, nondispersive infrared (NDIR) sensors, porous silicon associated with thin films, Raman spectroscopy, graphene-like two-dimensional (2D) materials, and mesoporous silica thin films . In terms of methane (CH 4 ) detection, techniques such as lithium-ion-doped carbon nanotubes, SnO 2 nanohybrid, , mid-infrared light emitting diode, , photoacoustic, a hollow-core photonic band gap fiber, Au-promoted Ce–Zr catalytic filter for Pt/SnO 2 , light interference, cobalt-doped zinc oxide microstructures, graphene stacking, luminescent, surface acoustic wave (SAW), and magneto-plasmonic sensors have been reported. On the other hand, mid-infrared sensor systems, FTIR spectroscopy, and Raman spectroscopy can be used for both CO 2 and CH 4 detection.…”
mentioning
confidence: 99%