| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 03063 | |
| Number of page(s) | 5 | |
| Section | Digital Signal and Image Processing | |
| DOI | https://doi.org/10.1051/matecconf/201817303063 | |
| Published online | 19 June 2018 | |
Visualization for compressed natural gas(CNG) secondary station refilling behaviors
1
College of Engineering and Technology, Tianjin Agricultural University, 300384 Tianjin, China
2
Tianjin Huabei Gas & Heating Engineering Design Co. LTD, 300384 Tianjin, China
* Corresponding author: author@e-mail.org
Data visualizations are recently used for providing an access to complex data and information. In this paper, the visualization method is adopted to find possible ways of improving CNG secondary filling station’s refilling efficiency. Based on single attribute of volume, initial and final pressure, the visualization results show that one possible way to improve refilling efficiency is to by avoid abnormal inefficient refilling behaviors with small volume, higher initial pressure or lower final pressure. Based on time, the visualization results, considering the periodic property of refilling behaviors, present another possible way to improve refilling efficiency through reducing inefficient use of time. From the refilling log’s visualization, it is found that there is room for improvement in refilling efficiency and possible improving ways are primary studied. But the reasons of these abnormal actions are needed to be studied in future research.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.