| 摘要: |
| 为实现“双碳”目标,国家大力推动交通清洁能源的使用,因此合理布局和建设LNG加注站就非常重要。基于交通车辆卫星定位数据的算法技术,运用机器学习模型和大数据架构等先进技术,实现对LNG加注站的智能识别,并对路段流量和LNG重卡加注行为进行智能统计分析,搭建站点价值分析模型,进行LNG加注站的规划布局和建站选址。根据对交通大数据的分析,确定了全国6 000余个LNG加注站的位置分布和其中的高价值站点,借助地图进行标注并打造加注站数据系统,大幅度提高了LNG加注站选址的科学性及效率。 |
| 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 |
| DOI：10.13216/j.cnki.upcjess.2024.01.0004 |
| 分类号:TU996.8;U495;TE834 |
| 基金项目: |
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| Intelligent Location Design of LNG Filling Stations based on Big Data Technology |
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SHA Qihao, HU Wenjuan, JIANG Jun, XU Jiadong
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(CNOOC Gas and Power Group, Beijing 100028, China)
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| 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 positioning 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 selection 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. |
| Key words: LNG traffic big data data algorithm LNG filling station layout and location selection |
