The Knowledge Expression for the Low Carbon Economy of Cold Heading Machine

Abstract

当前，全球正发生着以变暖为主要特征的气候变化，并已成为世界各国共同面临的危机和挑战。低碳经济是减少温室气体排放，应对全球变暖的最佳经济模式。冷墩机是制造业进行生产加工的主体，在其制造和使用等阶段消耗大量的能源和资源，同时向环境排放出温室气体，冷镦机的低碳性能也直接影响了生产对象的环保性能。因此，本文分析了冷墩机的低碳经济知识表达，提出了基于语义网络的冷镦机全生命周期碳足迹表达模型，有效支持语义网络的冷镦机碳足迹表达及在产品低碳设计系统中的理论研究。 At present, the world is experiencing a climate change with warming as the main feature, and the global warming has become the crisis and challenges of the word. Low carbon economy is the best economic model in response to the global warming and the greenhouse gas reduction. The cold heading machine is the main manufacturing production; it consumes a lot of energy and resources in the manufacturing and using stage, at the same time to produce greenhouse gases; therefore, the low carbon performance of cold heading machine will have a direct impact on the environmental protection. Therefore, this paper proposes the knowledge expression for the low carbon economy of cold heading machine, establishes the expression model of cold heading machine based on the semantic network, and effectively supports the cold heading machine carbon footprint expression of the semantic network and the theory research in low carbon product design system.