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MRI India Journals Vol. 13 No. 1 (2024)

An IoT Gas, Flame and Environment Monitoring Node for Explosion-Risk Detection

Authors

  • Julius Niwin L Department of Electrical and Electronics Engineering, Stella Mary's College of Engineering, Aruthenganvilai, Kanyakumari District, Tamil Nadu 629202, India
  • Linsin Bedsho S Department of Electrical and Electronics Engineering, Stella Mary's College of Engineering, Aruthenganvilai, Kanyakumari District, Tamil Nadu 629202, India
  • Rexon Liso N Department of Electrical and Electronics Engineering, Stella Mary's College of Engineering, Aruthenganvilai, Kanyakumari District, Tamil Nadu 629202, India
  • Sahaya Lismen Rai S Department of Electrical and Electronics Engineering, Stella Mary's College of Engineering, Aruthenganvilai, Kanyakumari District, Tamil Nadu 629202, India
  • Stanly Selvakumar J Department of Electrical and Electronics Engineering, Stella Mary's College of Engineering, Aruthenganvilai, Kanyakumari District, Tamil Nadu 629202, India

Keywords:

Gas Detection Lower Explosive Limit Metal-Oxide Sensor Flame Sensor ESP8266 Internet of Things Process Safety Sensor Calibration Ventilation Hazardous-Area Certification

Abstract

This paper reports an IoT monitoring node built to demonstrate early detection of explosion-risk conditions, and assesses it against the requirements that apply to gas detection in flammable atmospheres. The node combines a metal-oxide combustible-gas sensor, a flame sensor read as an analogue range, a temperature and humidity sensor, an ESP8266 controller, a relay-driven ventilation actuator and a cloud dashboard. The telemetry actually recorded is reported exactly as captured: a single snapshot showing 32 degrees Celsius, 82 % relative humidity and a gas channel reading zero, together with a demonstrated fire-detected notification. The assessment then states plainly what such a record can support. Because the gas channel was never exposed to certified calibration gas, its output remains an uncalibrated ratiometric value, not a concentration. Therefore, no LEL or ppm reading or alarm threshold is justified; zero only indicates no response, not gas absence.

Detection time, minimum detectable concentration, cross-sensitivity, warm-up behaviour and drift were likewise not measured. Metal-oxide sensor response is further shown from the literature to depend strongly on humidity, which the recorded 82 % places in the region where that dependence is largest. This revision adds two quantitative elements. First, the alarm bands the paper discusses are expressed in absolute units using published explosive limits, so that the concentration range an instrument would have to span is stated rather than left abstract: a low alarm at 20 % of the limit corresponds to 10,000 ppm for methane and 4,200 ppm for propane. Second, the ventilation relations are evaluated, showing that a relay-driven fan dilutes an enclosure on a timescale of tens of minutes, which places it firmly among slow mitigations rather than protective responses. The paper separates built-and-demonstrated capability from unmeasured capability, and states the certification and enclosure requirements that a node intended for a genuinely hazardous area must satisfy but which this prototype does not address.

 

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Published

2024-04-15

How to Cite

L, J. N., S, L. B., N, R. L., S, S. L. R., & J, S. S. (2024). An IoT Gas, Flame and Environment Monitoring Node for Explosion-Risk Detection. International Journal of Advanced Electrical and Electronics Engineering, 13(1), 45–56. Retrieved from https://journals.mriindia.com/index.php/ijaeee/article/view/4338

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