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Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products

机译:物联网和基于BOM的产品节能减排生命周期评估

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Energy-saving and emission-reduction (ESER), carbon footprint, carbon labeling, and carbon trading have attracted much attention recently due to severe environmental challenges. One key technology for implementing the above concepts is how to realize the effective quantitative evaluation of ESER. In this paper, the existing ESER evaluation technology and systems are summarized first. It is found that the existing ESER evaluation technology and systems are almost isolated from the existing enterprise information systems, such as enterprise resource planning (ERP), product data management (PDM), and customer relationship management (CRM), which results in the expanding of the enterprise information islands. In order to address this problem, a new method for ESER life cycle assessment (LCA) based on Internet of Things (IoT) and bill of material (BOM) is proposed in this paper. A four-layered structure (i.e., perception access layer, data layer, service layer, and application layer) ESER LCA system based on IoT and BOM is designed and presented, as well as the key technologies and the functions in each layer. A prototype application system is developed to validate the proposed method. The main contributions of the proposed method are: 1) facilitate real-time intelligent perception, and the collection of energy consumption and environmental impact data generated in the entire life cycle of manufacturing by using IoT technologies; and 2) realize effective data integration between the ESER evaluation system and the existing enterprise information systems based on BOM.
机译:由于严峻的环境挑战,节能减排(ESER),碳足迹,碳标签和碳贸易最近引起了广泛关注。实现上述概念的一项关键技术是如何实现对ESER的有效定量评估。本文首先总结了现有的ESER评估技术和系统。发现现有的ESER评估技术和系统几乎与现有的企业信息系统(例如企业资源计划(ERP),产品数据管理(PDM)和客户关系管理(CRM))相隔离,从而导致其扩展企业信息孤岛。为了解决这个问题,本文提出了一种基于物联网(IoT)和物料清单(BOM)的ESER生命周期评估(LCA)新方法。设计并提出了一种基于物联网和BOM的四层结构(即感知访问层,数据层,服务层和应用层)ESER LCA系统,以及每层的关键技术和功能。开发了原型应用系统以验证所提出的方法。该方法的主要贡献是:1)促进实时智能感知,并通过使用物联网技术收集在整个制造生命周期中产生的能耗和环境影响数据; 2)基于BOM,实现ESER评估系统与现有企业信息系统之间的有效数据集成。

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