A compatible carbon efficiency information service framework based on the industrial internet identification

IF 7.5 2区 计算机科学 Q1 TELECOMMUNICATIONS Digital Communications and Networks Pub Date : 2024-08-01 DOI:10.1016/j.dcan.2023.06.005
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Abstract

Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth. If explainable and available carbon emission data can be accurately obtained, it will help policy regulators and enterprise managers to more accurately implement this development strategy. A lot of research has been carried out, but it is still a difficult problem that how to accommodate and adapt the complex carbon emission data computing models and factor libraries developed by different regions, different industries and different enterprises. Meanwhile, with the rapid development of the Industrial Internet, it has not only been used for the supply chain optimization and intelligent scheduling of the manufacturing industry, but also been used by more and more industries as an important way of digital transformation. Especially in China, the Industrial Internet identification and resolution system is becoming an important digital infrastructure to uniquely identify objects and share data. Hence, a compatible carbon efficiency information service framework based on the Industrial Internet Identification is proposed in this paper to address the problem of computing and querying multi-source heterogeneous carbon emission data. We have defined a multi cooperation carbon emission data interaction model consisting of three roles and three basic operations. Further, the implementation of the framework includes carbon emission data identification, modeling, calculation, query and sharing. The practice results show that its capability and effectiveness in improving the responsiveness, accuracy, and credibility of compatible carbon efficiency data query and sharing services.

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基于工业互联网识别的兼容碳效率信息服务框架
绿色低碳是一种新的发展模式,旨在寻求环境可持续性与经济高速增长之间的平衡。如果能够准确获取可解释、可利用的碳排放数据,将有助于政策监管者和企业管理者更准确地实施这一发展战略。虽然已经开展了大量研究,但如何适应不同地区、不同行业、不同企业开发的复杂碳排放数据计算模型和因子库仍是一个难题。同时,随着工业互联网的快速发展,它不仅被用于制造业的供应链优化和智能调度,还被越来越多的行业作为数字化转型的重要途径。特别是在中国,工业互联网识别与解析系统正成为唯一标识对象、共享数据的重要数字化基础设施。因此,本文提出了基于工业互联网识别的兼容碳效率信息服务框架,以解决多源异构碳排放数据的计算和查询问题。我们定义了由三个角色和三个基本操作组成的多合作碳排放数据交互模型。此外,该框架的实现包括碳排放数据的识别、建模、计算、查询和共享。实践结果表明,该框架能够有效提高兼容碳效率数据查询和共享服务的响应速度、准确性和可信度。
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来源期刊
Digital Communications and Networks
Digital Communications and Networks Computer Science-Hardware and Architecture
CiteScore
12.80
自引率
5.10%
发文量
915
审稿时长
30 weeks
期刊介绍: Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
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