Abstract
Oil pipeline monitoring is having a significant role in minimizing the impact on the environment and humans during pipeline accidents. The real-time monitoring of oil pipelines empowers the authorities to have continuous supervision of the oil pipeline. The Internet of Things (IoT) provides an opportunity for realizing the real-time monitoring system by deploying the IoT-enabled end devices on the oil pipeline. In this study, we propose a hybrid architecture based on 2.4 GHz-based Zigbee and LoRa communication for oil pipeline monitoring. Moreover, customized end devices and LoRa based gateway are designed and implemented for sensing the critical parameters of an oil pipeline. Here, we have performed the simulation of ZigBee communication on the OPNET simulator for evaluating the parameters such as packet delivery ratio (PDR), retransmission attempts, throughput, medium access (MAC) queue size, and queue delay. Furthermore, the distinct evaluation metrics of LoRa such as bit rate, link budget, and receiver sensitivity are also included. Finally, a real-time experiment is implemented with customized end devices and a gateway for evaluating the proposed architecture. In the real-time experiment, the devices and gateway are logging the pressure sensory data into the Cayenne cloud.
Highlights
The utilization of pipelines is recognized as a significant means of transporting petroleum products, such as gases, fossil fuels, chemicals, and other prominent hydrocarbon fluids that contribute to the nation’s economy [1]
We have proposed a hybrid architecture for oil pipeline monitoringbased on 2.4 GHz-based Zigbee and LoRa communication
As a monitoring end device integrating with 2.4 GHz-based Zigbee RF communication and LoRa communication, it transmits the sensory data to the gateway
Summary
The utilization of pipelines is recognized as a significant means of transporting petroleum products, such as gases, fossil fuels, chemicals, and other prominent hydrocarbon fluids that contribute to the nation’s economy [1]. The accidents and statistics related to the oil pipeline failure encouraged researchers to implement a monitoring and supervising system. Implementing this PIG requires a high amount of investment due to the length of the pipeline is about 2.5 km [8]. The pipelines pass through the outer environment of the cities, so here IoT-based remote monitoring systems require a robust and reliable communication protocol that can communicate the data of the pipeline to a long range without any interruption. The long-range (LoRa) communication is feasible for communicating the data to the long-range with minimum consumption With this advantage, we have proposed a hybrid architecture for oil pipeline monitoringbased on 2.4 GHz-based Zigbee and LoRa communication.
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