Name
Abstract | ||
|---|---|---|
The geometry PIG is a system that can inspect the inside of a pipeline. The amount of pigging data is usually considerable because the system records multi-channel sensor values for a long distance inspection. Therefore, the efficient visualization of geometry PIG data is essential for the operator to analyze the amount of sensor data and to assess the pipeline features and conditions within a few hours.In this paper, we develop a geometry PIG software, which is a powerful and highly user friendly diagnostic tool. It allows the user to visualize the sensor data with various views such as fisheye, histogram and wave views to distinguish particular type of features. Furthermore, an integrated GUI with synchronized multiple views is very effective managing and navigating the multi-channel data. As a result, our system contributes to the high precision of the analysis results as well as in reducing the time to take to analyse the geometry PIG data. |
Year | Venue | Keywords |
|---|---|---|
2006 | APVIS | geometry pig,geometry pig data,pigging data,integrated visualization,user friendly diagnostic tool,system record,pipeline feature,multi-channel data,sensor value,geometry pig software,sensor data,navigation |
Field | DocType | ISBN |
Pigging,Computer vision,Histogram,Visualization,Software,Operator (computer programming),Artificial intelligence,User Friendly,Engineering,Geometry | Conference | 1-920682-41-4 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bok Dong Kim | 1 | 0 | 0.34 |
| Sang Ok Koo | 2 | 14 | 4.25 |
| Hyok Don Kwon | 3 | 0 | 0.34 |
| Seong Dae Jung | 4 | 0 | 0.34 |
| Soon Ki Jung | 5 | 326 | 35.31 |
| Minho Lee | 6 | 565 | 75.66 |
| YongWoo Rho | 7 | 0 | 0.34 |
| Sung-Ja Koo | 8 | 1 | 1.15 |