关键词: 机械加工车间, 碳足迹, 实时监测, 动态预警, 节能减排

Abstract: To improve the energy saving and emission reduction capability of mechanical processing workshop under uncertainty,a carbon footprint monitoring and early-warning method for machine shop was proposed.By considering timeliness,dynamic and uncertainty of carbon footprint control in machine shop,the control charts of carbon footprint based on Bayesian estimation was constructed,and the carbon footprint anomalies criteria was given.The key technologies of system implementation such as hardware topology,data model and multi-information acquisition and integration were researched,which achieved  monitoring carbon footprint abnormal patterns and dynamic warning in real time for machining shop under uncertainty.The proposed method was applied to the Manufacturing Execution System (MES) system of a machining shop,and the effectiveness and feasibility were demonstrated.

Key words: machining shop, carbon footprint, monitoring, dynamic warning, energy saving