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MolecuSpec FG

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This machine learning enabled fuel gas composition monitor that utilizes Raman spectroscopy-based sensing systems to monitor in real time to determine the composition signatures of delivered fuel gases in various industry processes, with an accuracy of 0.01% of FS with concentration ranges of 0.01 – 100%. This sensor can operate in environments where conventional gas sensors cannot.

Multiple Targets

Highly specific fuel gas molecular classification and quantification, replaces multiple sensors with one

Autonomous Operation

User-friendly operation and low maintenance in one convenient device

In
Situ

Continuous real-time chemical information and process visibility

Custom Data Processing

Sporian can develop custom algorithms to streamline your specific application

Product Features

Species Simultaneously quantified: Common fuel gas components (H2, CH4, C2H6, C3H8, C4H10, CO2, O2, N2, etc.)
NFPA/NEC-compliant packaging/electronics
Concentration Range: 0.01 to 100%
Accuracy: 0.01% of FS
Max operational pressure: 3,000+ psi
Measurement rate: Real time (<1 sec)
Onboard processing capability: Classification, quantification, metric/index calculation: self-test, self-identification
Designed for industrial/rugged use
Communications/interface: Ethernet/OEM control data-bus support
Target system size: <60 in3
Supported power: 110AC/28DC