Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products
Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products
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DOI：
10.1109/tii.2014.2306771
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发表时间：
2014-05-01
影响因子：
12.3
通讯作者：
Zhang, Lin
中科院分区：
文献类型：
--
作者：
Tao, Fei;Zuo, Ying;Zhang, Lin
近年来，由于面临严峻的环境挑战，节能减排、碳足迹、碳标签和碳交易备受关注。如何实现对ESER的有效定量评价是实现上述理念的关键技术之一。本文首先对现有的ESER评价技术和体系进行了综述。研究发现，现有的ESER评价技术和系统几乎与企业资源规划（ERP）、产品数据管理（PDM）、客户关系管理（CRM）等现有企业信息系统相隔离，导致企业信息孤岛不断扩大。为了解决这一问题，本文提出了一种基于物联网和物料清单的ESER生命周期评估方法。设计并提出了一个基于物联网和BOM的四层结构（感知访问层、数据层、服务层和应用层）ESER LCA系统，以及各层的关键技术和功能。开发了一个原型应用系统来验证所提出的方法。该方法的主要贡献在于：1)利用物联网技术促进实时智能感知，并收集制造全生命周期中产生的能耗和环境影响数据；2)基于BOM实现ESER评价系统与现有企业信息系统的有效数据集成。
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.