开发和评估基于 MQ-5 传感器的现场管道泄漏检测状态监测系统

I. Okokpujie, Oghenemaro Avwunu, Saheed Akande, Olufemi J. Dada, A. I. Musa, David I. Agbemuko
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摘要

原位管道状态监测系统是一个创新概念,它使用 MQ-5 传感器检测管道中的燃料泄漏,并将浓度数据传送到接收站。监测过程的本质是确保工程财产和生命安全。该项目解决了快速检测燃料泄漏的关键要求,以避免环境问题、经济损失和与管道循环相关的安全风险。目标是建立一个泄漏检测监控系统。该项目要求设计和实施四个发射站,每个发射站负责检测小型输油管道上不同位置的燃料泄漏,并将浓度数据传输到中央接收站。系统的响应时间是该项目的一个关键性能参数,其测量方法是在发射器检测到泄漏后,计算警报到达接收站所需的时间。该时间是在发射站和接收站之间的三个距离进行测量的:1米、2米和3米。在每个距离上进行多次测量,并计算出平均响应时间。结果表明,随着发射站和接收站之间距离的增加,反应时间也在增加。1 米处的平均反应时间为 3.37 秒,而 2 米和 3 米处的平均反应时间分别为 3.856 秒和 4.198 秒。为了检查每个距离的反应时间是否存在明显差异,我们进行了 t 检验推断,结果发现差异显著。所构建的系统有效地证明了其检测燃料泄漏的能力,而观察到的响应时间则为系统在不同距离上的性能提供了有用的信息。这项技术展示了通过早期识别燃料泄漏提高管道运输安全和效率的潜力。
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Development and Evaluation of a MQ-5 Sensor-Based Condition Monitoring System for In-Situ Pipeline Leak Detection
The condition monitoring system for an in-situ pipeline is an innovative concept that uses MQ-5 sensors to detect fuel leaks in pipelines and relay concentration data to a receiver station. The essence of the monitoring process is to ensure the safety and security of engineering properties and lives. The project addresses the crucial requirement for rapid detection of fuel leaks to avoid environmental problems, economic losses, and safety risks connected with pipeline circulation. The goal is to create a leak detection monitoring system. The project required the design and execution of four transmitter stations, each responsible for detecting fuel leaks at various places along a small-scale pipeline and transmitting concentration data to a central receiver station. The system's response time, a critical performance parameter for this project, was measured by timing how long it took for an alert to arrive at the receiving station after the transmitter detected a leak. This time was measured at three distances between the transmitter and receiver stations: 1m, 2m, and 3m. Multiple measurements were taken at each distance, and the average response time was computed. The results showed that as the distance between the stations increased, so did the reaction time. The average response time at 1m was 3.37 seconds, whereas, at 2m and 3m, it was 3.856 seconds and 4.198 seconds, respectively. A t-test inference was performed to check that there was a distinct difference between the response times for each distance, and a significant difference was detected. The built system effectively demonstrated its ability to detect fuel leaks, and the observed response times offered useful information about the system's performance at various distances. This technology demonstrates the potential to improve pipeline transportation safety and efficiency by enabling early identification of fuel leaks.
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