首页> 外国专利> UNDERWATER SENSOR NETWORK-BASED METHOD FOR DETECTING OIL LEAKAGE POINT OF OIL TRANSPORT PIPELINE AND MEASURING OIL LEAKAGE RATE

UNDERWATER SENSOR NETWORK-BASED METHOD FOR DETECTING OIL LEAKAGE POINT OF OIL TRANSPORT PIPELINE AND MEASURING OIL LEAKAGE RATE

机译:基于水下的传感器网络,用于检测油输送管道的漏油点和测量漏油率

摘要

An underwater sensor network-based method for detecting an oil leakage point of an oil transport pipeline and measuring an oil leakage rate, comprising: arranging working nodes (4) and transfer nodes (2) of sensors around an oil transport pipeline (3), so as to establish a stereo sensor network; recording pressure and concentration values measured by the working nodes (4) of upstream and downstream sensors of the underwater oil transport pipeline (3), and comparing the pressure and concentration values with theoretical calculation values to determine whether the underwater oil transport pipeline (3) leaks; constructing a neural network model and training the pre-constructed neural network model; calculating the position of an oil leakage point by means of the trained neural network model; and according to the distance between the oil leakage point and a downstream sensor node, obtaining an oil leakage rate of the oil leakage point by means of a mathematical model. The method can improve the monitoring efficiency and monitoring reliability of an underwater stereo sensor network.
机译:一种用于检测油输送管道的漏油点并测量漏油率的基于水下传感器网络的方法,包括:在油运输管道(3)周围的传感器(3)中排列工作节点(4)和传感器的传递节点(2),以建立立体声传感器网络;记录由水下油输送管道(3)的上游和下游传感器的工作节点(4)测量的记录压力和浓度值,并将压力和浓度值与理论计算值进行比较,以确定水下油输送管道(3)泄漏;构建神经网络模型并训练预构建的神经网络模型;通过训练有素的神经网络模型计算漏油点的位置;根据漏油点和下游传感器节点之间的距离,通过数学模型获得漏油点的漏油率。该方法可以提高水下立体声传感器网络的监测效率和监控可靠性。

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