摘要
随着信息技术的蓬勃发展,越来越多的技术被应用于工业数字化与信息化进程中。基于此,通过信息化、可视化的手段,利用数据挖掘与分析、大数据建模等技术方法研究影响煤炭价格的各类因素,结合现有数据资源,实现了煤炭采购辅助决策系统的开发,为燃煤采购及调配提供决策支持。该系统在提升工作效率的同时,能够提升相关业务的信息化水平,为提升经济效益打下坚实的基础。
With the development of information technology,more and more methods have been applied in the process of industrial digitalization and informatization.Based on this,by means of informatization and visualization,using data mining and analysis,big data modeling and other technical methods to study various factors that affect the coal price,combined with existing data resources,the development of coal procurement auxiliary decision-making system has been realized to provide decision-making support for coal procurement and deployment.The system can improve the informatization level of relevant businesses while improving the work efficiency,laying a solid foundation for improving economic benefits.
作者
兰丰
凌冰
邵声新
龚福
俞笑本
LAN Feng;LING Bing;SHAO Shengxin;GONG Fu;YU Xiaoben(Shanghai Minghua Electric Power Science&Technology Co.,Ltd.,Shanghai 200090,China;Shanghai Electric Power Fuel Co.,Ltd.,Shanghai 200231,China;Shanghai Electric Power Co.,Ltd.,Shanghai 200090,China)
出处
《信息与电脑》
2022年第23期56-58,共3页
Information & Computer
关键词
决策系统
数据挖掘
大数据模型
信息化
decision-making system
data mining
big-data model
information technology