仪器仪表机械产品全生命周期碳足迹建模方法
Carbon Footprint Modeling Method of Instrumentation Machinery for Product Lifecycle
摘要: 随着全球气候变暖和环境问题的日益严峻,碳足迹作为一种衡量人类活动对气候变化影响的重要指标,逐渐受到广泛关注。碳达峰碳中和已经成为国家的重大战略。当前碳足迹评估由于数据来源分散、格式不统一、质量参差不齐,缺乏统一的数据表达方法。这些情况阻碍了设计检测认证不同系统之间的信息共享,影响了结果的准确性和可比性。传统的碳足迹数据记录存在格式混乱,急需建立一种通用的标准化表达体系。本文研究JSON在仪器仪表机械产品全生命周期碳足迹建模中的应用。首先介绍了JSON结构化文档的优势,其次,介绍了仪器仪表机械产品碳足迹核算的基本步骤;并在此基础上,建立了基于JSON结构的仪器仪表机械产品全生命周期碳足迹建模,并以液相色谱仪为例进行了分析。通过建立标准化的数据模型和交换协议,从而获得碳足迹信息,提高仪器仪表机械产品全生命周期评估设计和检测认证提供技术支撑,实现仪器仪表机械低碳设计与制造。
Abstract: With global warming and environmental problems becoming more and more serious, the carbon footprint, as an important indicator of the impact of human activities on climate change, has gradually received widespread attention. Carbon peaking and carbon neutralization have become major national strategies. The current carbon footprint assessment lacks a unified method of data expression due to scattered data sources, inconsistent formats and uneven quality. These circumstances hinder information sharing between different systems and affect the accuracy and comparability of results. The traditional carbon footprint data records have confusing formats, and there is an urgent need to establish a common standardized expression system. This paper investigates the application of JSON in instrumentation machinery product full life cycle carbon footprint modeling. Firstly, the advantages of JSON structured documents are introduced, and secondly, the basic steps of instrumentation machinery product carbon footprint accounting are introduced; and based on this, a product full life cycle carbon footprint expression based on JSON structure is established and exemplified, using liquid chromatograph as an example. By establishing a standardized data model and exchange protocol, it improves the technical support of instrumentation machinery product full life cycle assessment and certification & testing, to realize the low-carbon design and manufacturing of instrumentation machinery.
文章引用:郁灵. 仪器仪表机械产品全生命周期碳足迹建模方法[J]. 建模与仿真, 2025, 14(8): 326-336. https://doi.org/10.12677/mos.2025.148571

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