中国石油大学学报（社会科学版）2024，Vol.40Issue(1)：29-35,7.DOI:10.13216/j.cnki.upcjess.2024.01.0004
基于大数据技术的LNG加注站智能选址方案设计
Intelligent Location Design of LNG Filling Stations based on Big Data Technology
沙琦皓 1胡文娟 1江军 1许家栋1
作者信息
- 1. 中海石油气电集团有限责任公司,北京 100028
- 折叠
摘要
Abstract
In order to achieve the"double carbon"goal,China has vigorously promoted the use of clean energy for transportation.As a result,the reasonable layout and construction of LNG filling stations become really important.Based on the traffic vehicle satellite po-sitioning data,the advanced technologies such as machine learning model and big data algorithm architecture are used for the intelligent identification of LNG filling stations.Besides,with these technologies,the intelligent statistical analysis of road section flow and LNG heavy truck filling behavior is carried out,and the site value analysis model is built to carry out the layout planning and location selec-tion of LNG filling stations.Based on the analysis of traffic big data,the location distributions of more than 6 000 LNG filling stations and the high-value stations in our country are determined,which are marked with maps.The data system of filling stations is built,which greatly improves the scientificity and efficiency of LNG stations'location selection.关键词
液化天然气/交通大数据/数据算法/LNG加注站/布局选址Key words
LNG/traffic big data/data algorithm/LNG filling station/layout and location selection分类
建筑与水利引用本文复制引用
沙琦皓,胡文娟,江军,许家栋..基于大数据技术的LNG加注站智能选址方案设计[J].中国石油大学学报（社会科学版）,2024,40(1):29-35,7.
