School of Management, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, China.
PLoS One. 2022 Jul 25;17(7):e0270290. doi: 10.1371/journal.pone.0270290. eCollection 2022.
Due to the weak monitoring equipment for low- and medium-pressure gas pipelines, it is not easy to identify small flow leaks. The detection methods are mostly traditional manual inspections or night pressure-maintaining leak detection methods, which cannot be automatically monitored and sensed immediately. The abnormal fluctuations in client traffic caused by pipeline leaks studied in this paper can locate and detect leak locations more effectively. This paper analyzes the theoretical formula of leakage location based on flow data and finds out how to use the abnormal fluctuation of user-side flow to detect and locate gas pipeline leakage. First of all, this article uses the simulation software Pipeline Studio to construct the medium and low-pressure pipeline model. On this basis, 6 sets of leakage conditions were designed and simulated dynamically. Finally, the simulation results are analyzed, and the results show that: 1) The advisable monitoring period for monitoring abnormal fluctuations of user-side traffic is 10s. 2) There are two relationships between abnormal flow fluctuations and leakage position. They are: when the leakage point is at the first 40% of the relative distance from the gas source, the disturbance amplitude first increases and then decreases, and at the last 60%, it continues to decrease.; The closer the leak is to the user end, the more significant the abnormal flow fluctuations will be. On the contrary, the smaller the abnormal flow fluctuations will be; 3) No matter where the leakage occurs, the abnormal flow fluctuations in the 2nd and 3rd seconds after the leak occurs tend to be consistent. The proposal of the advisable monitoring period and the relationship between abnormal fluctuations of flow and the location of leakage provides a theoretical basis for the use of abnormal fluctuations of user-side flow for gas pipeline leakage detection and location.
由于中低压燃气管道的监测设备薄弱,小流量泄漏不易识别。检测方法大多是传统的人工巡检或夜间保压检漏方法,不能自动监测和即时感知。本文研究的管道泄漏引起的客户端流量异常波动,可以更有效地定位和检测泄漏位置。本文分析了基于流量数据的泄漏位置理论公式,找出如何利用用户侧流量的异常波动来检测和定位燃气管道泄漏。首先,本文使用仿真软件 Pipeline Studio 构建中低压管道模型。在此基础上,设计并动态模拟了 6 组泄漏情况。最后,对仿真结果进行分析,结果表明:1)监测用户侧流量异常波动的适宜监测周期为 10s。2)异常流量波动与泄漏位置之间存在两种关系:当泄漏点位于距气源相对距离的前 40%时,干扰幅度先增大后减小,最后 60%时持续减小;泄漏点越接近用户端,异常流量波动越明显,反之,异常流量波动越小;3)无论泄漏发生在哪里,泄漏发生后第 2 秒和第 3 秒的异常流量波动趋于一致。建议的监测周期和流量异常波动与泄漏位置之间的关系,为利用用户侧流量异常进行燃气管道泄漏检测和定位提供了理论依据。