摘要
本文通过分析传动轴磨削加工过程中碳排放量的影响因素,建立了较为准确的碳足迹核算模型。并且鉴于传统核算方法存在的一些问题决定将大数据技术运用于碳足迹的收集与核算。传统的碳足迹收集及核算方法在面临海量与无界数据时存在着诸如算力不足、收集困难等一系列问题,而本研究利用大数据技术,能够收集和分析大量的生产数据和能耗数据,为碳足迹核算模型提供实时准确的元数据。
By analyzing the influencing factors of carbon emission in the grinding process of drive shaft, a more accurate carbon footprint calculation model is established in this paper. In view of some problems existing in traditional calculation methods, it is decided to apply big data technology to the collec-tion and calculation of carbon footprint in the grinding process of drive shaft. Traditional methods of carbon footprint collection and accounting have a series of problems such as insufficient computing power and collection difficulties when faced with massive and unbounded data. However, this study uses big data technology to collect and analyze a large number of production data and energy con-sumption data to provide real-time and accurate metadata for carbon footprint accounting models.
出处
《建模与仿真》
2023年第6期5924-5935,共12页
Modeling and Simulation
