A self-adaptive filtering method for pipeline magnetic flux leakage internal detector data

Abstract

The invention provides an adaptive filtering method for pipeline magnetic flux leakage internal detector data, and relates to the technical field of pipeline fault diagnosis. This method uses a detector device in the pipeline to collect magnetic flux leakage signals, amplifies and stores them, converts them into actual digital voltage signals, performs baseline correction on the digital voltage signals, and then searches, eliminates and compensates abnormal data; performs single-channel signal classification , adopt corresponding single-channel adaptive filtering algorithms for line filtering for different signal categories; perform multi-channel equalization of magnetic leakage signals by comparing and analyzing the degree of noise influence between adjacent channels; then classify multi-channel signal areas, and Different signal areas adopt corresponding multi-channel adaptive filtering algorithms for surface filtering. The method provided by the invention makes pipeline life prediction more accurate, makes feature extraction easier during pipeline fault diagnosis, has obvious filtering effect, and has fast and accurate big data processing functions.

Description

Technical field: [0001] The invention relates to the technical field of pipeline fault diagnosis, in particular to an adaptive filtering method for pipeline magnetic flux leakage internal detector data. Background technique: [0002] Oil and natural gas are non-renewable resources with fluid characteristics, and because they have no definite shape, pipeline transportation can be transported in large quantities across long distances without being affected by sudden climate changes and environmental mutations, so pipeline transportation has become a natural resource for transporting oil. The inevitable choice for fluids such as natural gas and natural gas. During oil and gas transportation, when a pipeline leaks, especially when a pipe bursts, it will cause economic losses, energy losses, adverse effects on the ecological environment, and serious casualties. Leakage detection and pipeline maintenance of pipeline transportation are important aspects of pipeline transportation. ...

AI Technical Summary

Problems solved by technology

There are many deficiencies in the existing magnetic flux leakage data filtering technology, such as the inaccurate prediction of the existing pipeline life, the difficulty of feature extraction during pipeline fault diagnosis, and the filtering effect is not obvious, etc.

Images