A detection method of oil leakage point and oil leakage rate of oil pipeline

Abstract

The invention discloses a method for detecting oil leakage point and oil leakage rate of an oil pipeline based on an underwater sensor network. The pressure and concentration values ​​monitored by the upstream and downstream sensor working nodes of the oil pipeline are compared with the theoretically calculated values ​​to judge whether there is leakage in the underwater oil pipeline, and build a training set to train the pre-built neural network model; through the trained neural network The model calculates the location of the oil spill point; according to the distance between the oil spill point and the downstream sensor node, the oil leakage rate of the oil spill point is obtained through the mathematical model. The method of the invention can improve the monitoring efficiency and reliability of the underwater three-dimensional sensor network.

Description

technical field [0001] The invention belongs to the technical field of underwater sensor monitoring and oil leakage detection of oil pipelines, and in particular relates to a method for detecting oil leakage points and oil leakage rates of oil pipelines based on an underwater sensor network. Background technique [0002] The underwater sensor network is arranged in water to detect the oil leakage point of the oil pipeline; in addition, the concentration change of the oil leakage point can be measured through the three-dimensional sensor network, and then the oil leakage rate of the oil pipeline can be calculated. [0003] With the application of underwater robots in the detection of underwater oil pipelines, by arranging this three-dimensional sensor network underwater, the position of the oil spill point can be detected according to the concentration change of an adjacent underwater node; by arranging the position and time of the sensor The oil leakage rate in the water can...

AI Technical Summary

Problems solved by technology

[0004] At present, although the sensor network can be applied under the water surface, it still has the problem of low judgment accuracy when monitoring oil spill points underwater; in addition, it also has low reliability for complex and variable underwater environments. Defects

[0005] To sum up, the current method cannot monitor the changes of the underwater oil pipeline well to a certain extent. A new detection method based on the underwater sensor network for the oil leakage point and oil leakage rate of the oil pipeline is continued.

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