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Remote Monitoring of Natural Gas Pipeline Compressor Stations using ThingSpeak Platform

Journal: International Journal of Trend in Scientific Research and Development (Vol.9, No. 5)

Publication Date:

Authors : ;

Page : 142-146

Keywords : ESP32 Wi-Fi; Internet of Things; Bluetooth; Monitoring; Wireless Transmission; Atmospheric; Compressed Natural Gas; Methane.;

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Abstract

Compressed Natural Gas CNG is mainly comprises of methane and is produced by compressing natural gas to less than 1 of its original volume, making it suitable for transportation and other applications. However, fears arise regarding the natural gas infrastructure such as compressor stations' emissions in the host communities, which can release Volatile Organic Compounds VOCs , Nitrogen Oxides NOx , and other pollutants that can affect human health negatively and lead to ozone formation, especially for nearby communities. This research aims to monitor the presence of methane gas in the atmosphere with concentration measuring in Parts Per Million ppm . The proposed system collects data from methane gas sensor MQ 4. Data collected from this sensor are uploaded to the server via ESP 32 Wi Fi module. By employing ThingSpeak server, an open source Internet of Things IoT platform, data can be monitored by the appropriate authority at any time with the aid of internet browser. ThingSpeak generates a unique channel identity, which could be used in ThingShow App so that user can monitor and visualize the concentration of methane gas when required through mobile devices. This research therefore not only proof the remote and real time data access but also provides a broader applications of atmospheric monitoring in environmental protection and scientific research. Kaosoluchukwu Stanislaus Ogbuokebe | Frederick Alapa | Blessing Baryat Omowumi | Oluwatosin S. Aremo | George Echiye Okpanachi "Remote Monitoring of Natural Gas Pipeline Compressor Stations using ThingSpeak Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-5 , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97459.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97459/remote-monitoring-of-natural-gas-pipeline-compressor-stations-using-thingspeak-platform/kaosoluchukwu-stanislaus-ogbuokebe

Last modified: 2026-01-03 18:20:18