Oil transportation pipeline leakage flow estimating device and method based on KPCA-RBF curve fitting

Abstract

The invention relates to an oil transportation pipeline leakage flow estimating device and method based on KPCA-RBF curve fitting, and belongs to the technical field of oil transportation pipeline detection. According to the estimating method, the dimensionality of data, in which non-linear relationships exist, of an oil transportation pipeline is reduced by using kernel principal component analysis (KPCA), and therefore the number of principal component variables is greatly reduced; the leakage flow is estimated in the mode of KPCA-RBF neural network curve fitting, solution of a high-order equation set is avoided, and accuracy and precision of leakage flow estimation are improved; in addition, information affecting the leakage flow serves as system input, so that the estimating method effectively adapts to the complex and changeful environment, and the practicability of the leakage flow estimating method is improved. An FPGA and DSP architecture is adopted, and compared with a single FPGA system or a single DSP system, an FPGA and DSP system has higher calculation processing capacity; the FPGA and DSP framework simultaneously has the advantages of good real-time performance of an FPGA and low development difficulty of a DSP, shortens a development cycle, reduces technical risks, and is more suitable for real-time data processing, system functions are partitioned clearly, and the overall performance indexes of the system are greatly increased.

Description

Technical field [0001] The invention belongs to the technical field of oil pipeline detection, and in particular relates to an oil pipeline leakage flow estimation device and method based on KPCA-RBF curve fitting. Background technique [0002] Pipeline transportation is a very important mode of transportation and plays an important role in the development of the national economy. With the development of the pipeline transportation industry, most of the oil pipelines have been in service for more than 20 years. Among them, the inevitable degree of aging is serious, and some other natural causes cause corrosion and damage to the oil pipeline, especially the man-made oil theft is common. , Pipeline leakage occurs frequently. Accurately judging the size of the leakage flow is of great significance for controlling the probability and severity of accidents and formulating reasonable and effective emergency rescue measures. [0003] At present, the main leakage flow estimation method i...

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Problems solved by technology

[0003] At present, the main leakage flow estimation method is based on the pipeline leakage model. By solving the numerical solution of the continuity equation and the momentum equation, or using a computer to simulate, the estimated value of the leakage flow is obtained. This method is simple in modeling and easy to operate, but based on The solution process of the model method is complicated, and the accuracy and precision of the leakage flow obtained by the solution are low, and because the model is too idealized, it is difficult to adapt to the complex and changeable environment

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