Leakage point concentration data

Citation Author(s):
qinglin
He
Submitted by:
lianjie zhou
Last updated:
Tue, 07/18/2023 - 00:49
DOI:
10.21227/w94d-qa50
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Abstract 

This dataset contains data collected from multiple paths, such as Unequally space path, Curved path, ESPLB, data collected from actual paths, and concentration prediction data. This experiment adopts a new concentration data collection path ESBLP method efficiently divides the study area into three parts and measures concentration data along the boundaries to calculate gradients. This allows for the approximate positioning of the leak point within its corresponding region.Based on the data collected above, the MGA algorithm is used to process it, obtain the backcalculated coordinates of the leakage point, and then compare it with the actual leakage point position to determine which path is more optimal

Instructions: 

This dataset contains gas detection concentration values and gas prediction values. Each data corresponds to the concentration value of the point at this point. The experimental area is divided into rows and columns, and data from the X row and Y column points is collected based on different paths. Multiple operations are performed to obtain all data for this path