摘要
基于"物联网+"的人工智能算法使制造业发生了翻天覆地的变化。采用由设备层、任务层和辅助生产层三层结构构建的能耗结构,详细描述了离散制造系统层的数学模型,通过对模型的分析,发现设备层为耗能主体,且其关键参数无法直接获取,基于此,从设备层能耗模型切入,通过测量设备总功率与主轴实时功率,采用基于变遗忘因子算法来估计设备加工时的附加载荷损数系数,结合能耗集成化模型和预测出的附加载荷损耗系数用于能耗量化分析。
The AI algorithm based on "Internet of Things+" has brought about earth-shaking changes in the manufacturing industry. The energy consumption structure composed of equipment layer, task layer and auxiliary production layer is adopted, and the mathematical model of discrete manufacturing system layer is described in detail. Through analysis of the model, it is found that the equipment layer is the main energy consuming body, and its key parameters cannot be directly obtained. Based on this, starting from the equipment layer energy consumption model, by measuring the total power of equipment and the real-time power of the spindle, the additional load loss coefficient during equipment processing is estimated based on the variable forgetting factor algorithm, and the energy consumption integrated model and the predicted additional load loss coefficient are used for energy consumption quantitative analysis.
作者
潘琛
杨瑞丽
PAN Chen;YANG Ruili(School of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu He nan 476000,China)
出处
《微处理机》
2020年第3期24-29,共6页
Microprocessors
基金
河南省高等学校重点科研项目(20B520026)。
关键词
物联网+
离散制造
能耗模型
变遗忘因子算法
能耗量化分析
Internet of Things+
Discrete manufacturing
Energy consumption
VFF algorithm
Quantitative analysis of energy consumption
