Estimation of a Gas Mixture Explosion Risk by Measuring the Oxidation Heat Within a Catalytic Sensor

Combustible gas mixtures and flammable vapors are present in the operating environments of many industries. Detection of the presence of these combustible gases and vapors and assessment of the explosion hazard is of vital importance to ensure that mitigation of the potential hazard can occur before an explosive concentration is reached. In this work, we introduce a gas mixture explosion risk estimation technique for a catalytic sensor. The contribution of this work is threefold. First, we propose the idea of explosion estimation of unknown gas mixtures, which are based on the measurement of heat dissipated during the mixture oxidation at a slow rate. Second, the analysis of transient oxidation processes and sensor response is performed for devising the associated computational scheme to be implemented in a low-power microcontroller. Third, we implement the proposed computational scheme in a wireless sensor node and carry out experiments with various gas mixtures for demonstrating the feasibility of our approach. Combustible heat of gas mixtures of methane, propane, butane, and hydrogen were studied at various concentrations in the range of 28%–56% lower explosive limit. The measurement procedure takes 8.5 s.

[1]  Ahmet Özmen,et al.  Design of a Portable E-Nose Instrument for Gas Classifications , 2009, IEEE Transactions on Instrumentation and Measurement.

[2]  Vera Stavroulaki,et al.  Virtualization and Cognitive Management of Real World Objects in the Internet of Things , 2012, 2012 IEEE International Conference on Green Computing and Communications.

[3]  S De Vito,et al.  Wireless Sensor Networks for Distributed Chemical Sensing: Addressing Power Consumption Limits With On-Board Intelligence , 2011, IEEE Sensors Journal.

[4]  R. Kester,et al.  A Real-time Gas Cloud Imaging Camera for Fugitive Emission Detection and Monitoring , 2012 .

[5]  Alexander Baranov,et al.  Energy efficient planar catalytic sensor for methane measurement , 2013 .

[6]  C. J. Lea,et al.  Flammability of hydrocarbon and carbon dioxide mixtures , 2011 .

[7]  L. Benini,et al.  Context-Adaptive Multimodal Wireless Sensor Network for Energy-Efficient Gas Monitoring , 2013, IEEE Sensors Journal.

[8]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[9]  R. Tatam,et al.  Optical gas sensing: a review , 2012 .

[10]  Haitao Yu,et al.  Micro-/Nanocombined Gas Sensors With Functionalized Mesoporous Thin Film Self-Assembled in Batches Onto Resonant Cantilevers , 2012, IEEE Transactions on Industrial Electronics.

[11]  Elena Karpova,et al.  Compact Low Power Wireless Gas Sensor Node With Thermo Compensation for Ubiquitous Deployment , 2015, IEEE Transactions on Industrial Informatics.

[12]  D. Diamond,et al.  Evaluation of a low cost wireless chemical sensor network for environmental monitoring , 2008, 2008 IEEE Sensors.

[13]  V. Rowe,et al.  Flammable Mixture Analysis for Hazardous Area Classification , 2008, IEEE Transactions on Industry Applications.

[14]  Andrey Somov,et al.  Flammable gases and vapors of flammable liquids: Monitoring with infrared sensor node ☆ , 2015 .

[15]  John Leis,et al.  A Temperature Compensation Technique for Near-Infrared Methane Gas Threshold Detection , 2016, IEEE Transactions on Industrial Electronics.

[16]  Klaus Moessner,et al.  Enabling smart cities through a cognitive management framework for the internet of things , 2013, IEEE Communications Magazine.

[17]  John A. Stankovic,et al.  Research Directions for the Internet of Things , 2014, IEEE Internet of Things Journal.

[18]  V. Sysoev,et al.  The gas-analytical multisensor chip based on monolithic catalyst elements , 2015, 2015 International Siberian Conference on Control and Communications (SIBCON).

[19]  J. A. López-Villanueva,et al.  Hybrid Printed Device for Simultaneous Vapors Sensing , 2016, IEEE Sensors Journal.