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Compensation method and device for pipeline pressure missing data based on genetic neural network

A genetic neural network and missing data technology, applied in the field of pipeline inspection, can solve problems such as loss of continuity of real-time information, missing pressure data, and pressure data that cannot form a time series

Inactive Publication Date: 2011-12-07
NORTHEASTERN UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

However, in the process of pipeline pressure data acquisition, unknown situations such as sensor failure, AD acquisition failure, data storage failure and network communication failure may occur. These situations can cause incomplete pipeline pressure data and make the real-time pipeline information lose continuity. , and the pressure data of the pipeline cannot form a complete and effective time series, which will have a serious impact on the acquisition and research of real-time information on the pipeline
At present, in the field of oil pipeline leak detection technology, there is no good solution to the problem of missing pressure data.

Method used

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  • Compensation method and device for pipeline pressure missing data based on genetic neural network
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  • Compensation method and device for pipeline pressure missing data based on genetic neural network

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Embodiment Construction

[0107] The present invention is described in detail in combination with specific embodiments and accompanying drawings.

[0108] In this example, the DSP chip adopts the model TMS320C2812, the A / D data acquisition module adopts the model AD7656, the data register adopts the model IDT72V263; the ARM processor adopts the model S3C2440;

[0109] Such as figure 1 , 4 , 5, 6, 7, and 8, the output terminals of the transmitters for pressure, flow, and density parameters are connected to the input terminals of the multiplexer, and the output pins of the multiplexer are connected to the input terminals of the instrumentation amplifier. . The output pins of the instrumentation amplifier are connected to the six input pins of DIN1~DIN6 of the six-way voltage follower of AD7656, the output pins of the voltage follower are connected to the AD conversion equipment, and the 16-way output DB0~DB15 of the AD conversion is used as the FIFO data buffer. Input, the output pins Q0-Q15 of FIFO ...

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Abstract

The invention provides a method and device for compensating pipeline pressure missing data based on a genetic neural network, belonging to the technical field of pipeline detection. The device provided by the invention comprises an A / D (Analog to Digital) data collecting unit, a DSP (Digital Signal Processor) data processing unit and an ARM-Linux (Advanced Risc Machines-Linux) data collection controlling unit; the A / D data collecting unit comprises a transmitter, a multiplexer, an instrument amplifier and an A / D data collecting module; the DSP data processing unit comprises a data cache, a DSP chip and a scan table; and the ARM-Linux data collection controlling unit comprises an ARM processor, an ARM liquid display screen and a GPS (Global Position System) module. The method with utilization of the device comprises the following steps of: 1, collecting analogue signals; 2, filtering the collected signals; 3, extracting characteristic indexes; 4, carrying out a dimension-reduction treatment on the characteristic indexes; 5, training a network; and 6, detecting pipeline pressure data and judging whether the missing data exist. The method and the device provided by the invention havethe advantages as follows: the method and the device can be used for remotely transmitting files, the effect is not distorted and the operation state of the system at the moment is restored.

Description

technical field [0001] The invention belongs to the technical field of pipeline detection, in particular to a compensation method and device for pipeline pressure missing data based on a genetic neural network. Background technique [0002] With the rapid economic development in the past ten years, oil pipeline leakage detection technology has also made great progress. Cause pipeline leakage, even cause explosion, combustion, lead to serious accidents such as casualties and environmental pollution, resulting in greater economic losses and adverse social impact. Therefore, the requirements for the safety of oil pipelines are also increasing. The pressure data of oil pipelines has important research significance and value for detecting pipeline leaks and locating leak points. Using today's technical means, the operating status of the oil pipeline system at a certain moment can be analyzed from these data, which is convenient for the staff to discover and solve unsafe factors...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 刘金海冯健张化光关福生高丁马大中
Owner NORTHEASTERN UNIV
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