摘要
针对"能源消费与水泥生产的排放"项目中所采集、生产的各类数据,设计并构建基于反演模式的碳排放数据集成管理系统,提供采样数据的预处理、录入导入、分析挖掘及反演预测等功能。着重解析了系统设计开发中的架构设计、数据预处理和反演预测模型等关键模块。实践结果表明,这些模块在碳排放数据集成管理系统中的应用,有利于实现多源数据的统一管理展示,有利于精准确定我国能源消费和水泥生产过程的碳排放系数。
We designed and constructed the integrated management system of carbon emission data based on inversion model, considering the data in the " energy consumption and carbon emissions of cement production" project. The system provides the sample data pre-processing, input, analysis, mining and inversion prediction and other functions. This paper focuses on the analysis of the system design and development of the architecture design, data preprocessing and inversion prediction model and other key modules. The practices show that the adoption of these modules in carbon emissions data integrated management system, is conducive to the unified management of multi-source data display, and to precisely determine the coefficient of carbon emissions of China, energy consumption and cement production process.
出处
《计算机应用与软件》
2017年第8期42-47,共6页
Computer Applications and Software
基金
中国科学院战略性先导科技专项(XDA05010000)
关键词
碳排放
数据预处理
数据挖掘
反演
预测
Carbon emission Data preprocessing Data mining Inversion Forecas