Research on A Data Processing Procedure for the Gas Pipeline Inspection Gauge

This article presents a data processing procedure for the PIG (Pipeline Inspection Gauge) using an adaptive filtering algorithm. A simple model of a vehicle with a magnetic frame and four Hall sensors was created for testing. Data from the Hall sensors will be preliminarily processed before being sent to the data collection and transmitted to the computer where a software program on the C # background will pick data samples in the 1 ms or 0,5 ms time period to process and display the results. In this procedure, an adaptive filtering algorithm is proposed to automatically adjust the filter parameter according to the speed of the magnetic vehicle. Experimental results show that the output data of the filter not only proves to be clearer but also records no delay or decrease in amplitude as the magnetic vehicle moves at a speed of 0,2 m/s to 1 m/s. These findings form a basis for developing a complete PIG product to be employed in reality