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

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...

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

Images