Dynamic Acquisition and Real-Time Distribution of Carbon Emission for Machining Through Mining Energy Data

The acquisition and distribution of carbon emission in manufacturing process are usually regarded as a precondition for management and decision making of carbon emission reduction in mechanical manufacturing industry. Current researches regarding acquisition of carbon emission for mechanical manufacture mainly derive from static statistics and are insufficient to reflect interactive influence of running statues and production processes on carbon emission in mechanical processing. This paper proposed a dynamic acquisition of carbon emission for mechanical manufacture, especially for machining process, which contributes to carbon emission monitoring and management in manufacturing process and overcomes existing deficiencies in static statistic methods. Furthermore, a dynamic monitoring system, consisting of single-machine and multi-machine levels, is developed to verify the feasibility of the proposed method, and is applied in a machining workshop. Case study shows that the proposed method is valid to obtain dynamic variation and distribution of carbon emission, to determine influence of running statues or production processes on emission carbon and to explore potential emission reduction strategies.