摘要
LPG供应站的布局应保证供应,做到连续、稳定的供气,满足用户的需求。基于大数据分析,综合考虑供应站的地域覆盖度、布局区域内的用气户数、订单量、安全性、运营成本及配送时间等参数,建立供应站地域覆盖评价、加权平均距离模型和基于遗传算法的实证预测分析模型。在此基础上,构建基于大数据和深度学习的供应站布局优化评价数学模型,得出供应站的数量及最优化布局。
The layout of the liquefied petroleum gas(LPG)supply station should ensure the supply,maintaining continuous and stable gas supply to meet user needs.Based on big data analysis,the supply station area coverage assessment,average weighted distance-based models and genetic algorithm-based empirical predictions,analysis models is developed by comprehensively considering the area coverage of the supply station,the number of gas consumers,order volume,safety,operating costs and delivery time and etc.in the layout area.On this basis,building the mathematical model for the supply station layout optimization and evaluation based on big data and deep learning,the number and optimal layout of supply stations are obtained.
作者
张晓青
ZHANG Xiaoqing(Shanghai Energy Construction Design and Research Co.,Ltd.)
出处
《上海煤气》
2023年第3期35-38,共4页
Shanghai Gas
关键词
LPG
大数据
优化布局
数学模型
LPG
big data
layout optimization
mathematical model
