Issue |
E3S Web Conf.
Volume 161, 2020
International Conference on Efficient Production and Processing (ICEPP-2020)
|
|
---|---|---|
Article Number | 01052 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/e3sconf/202016101052 | |
Published online | 15 April 2020 |
3D Models, QR-Codes and Parcel-Codes as an Innovative Method of Volumetric Assessment and Certification of Oil-Contaminated Sites
1 Industrial University of Tyumen, 628616 Nizhnevartovsk, Russian Federation
2 Industrial University of Tyumen, 628616 Nizhnevartovsk, Russian Federation
* Corresponding author: muhametshina.elwina2015@yandex.ru
The article describes an innovative method of volumetric assessment and certification of oil-contaminated land plots, which allows us to give an accurate assessment of the volume content of some limiting factors (in this work we considered such factors as oil pollution, chloride concentration and pH). This technique involves building 3D models, tabular systematization of concentrations and volumes of oil pollution, and improving the certification of the above-mentioned areas using special QR codes and parcel codes created by us. The method described by us makes it easier and at the same time increases the objectivity of certification of oil-contaminated land plots, reflects the qualitative and quantitative volume-time parameters of plots, increases the convenience, efficiency and reliability of accounting, data transmission and storage. To speed up the processing of information, we suggest using new forms of its representation (parcel codes). Parcel codes are an intermediate link for creating QR codes.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.