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.