IoT monitoring petroleum pipeline.

Using an IoT analytics platform service, we simulated real-time pipeline monitoring and pinpointed the exact site of pipeline damage in this research. This research uses pressure pulses to monitor pipelines, using vibration in pipes. This work similarly uses the notion of a temporal delay between the arrival of pulses at sensor sites. The Thing Speak internet of things (IoT) analytics platform interfaces with a wireless communication device built with an Arduino and a Wi-Fi module. An experiment rig that employed a wireless connection device called for five channels of data collection on the platform. All tracks were refreshed every two minutes, and every 15 seconds signal data were recorded. The wireless communication device's data was instantly visualized using Thing Speak. The data was analyzed and processed online as soon as it was received. Data were processed on a second test rig developed with an onboard data logger. The recorded pulse propagation velocity was 355 m/s. Between 4.243 and 4.246 m, the 50 measurements yielded event location estimations. Compared to the measured event location of 4.23 m, this had a dispersion of only 3 mm, It was found that the wireless communication device performed as well as the data logger when used for real-time monitoring of pipelines, according to the trial findings. [ABSTRACT FROM AUTHOR]