基于工业互联网的能碳数字化和智能化建设
Digital and intelligent construction of energy and carbon based on industrial internet
张伟 1安振文 1刘子强1
作者信息
- 1. 中海油信息科技有限公司研发中心,天津 300450
- 折叠
摘要
通过对接边缘侧数据采集服务,实时获取设备参数信息,实现能源管理的采集、监控、统计和分析,并能结合各能源使用情况,实时计算汇总企业碳排量,帮助企业摸清碳家底.分析能源和碳排放的历史数据,利用变量灰色模型建立自变量的预测值,建立能源灰色预测GM(1,1)回归模型,预测数据为决策者提供决策支持,从而实现企业能源和碳排放管理的数字化和智能化.
Abstract
Through the data collection service at the docking edge,obtained equipment parameter information on real time,collection,monitoring,statistics,and analysis.Additionally,calculation and summarization of carbon emissions according to col-lected data.Helping businesses understand their carbon footprint.Applying grey theory GM(1,1)model,analyzing historical data and forecast energy data.Policy maker can use the forecast data.Improve the enterprise energy and carbon emission management level of digitalization and intelligence.
关键词
灰色预测/能源管理/碳排核算Key words
gray forecast/energy manager/carbon accounting引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据