制造过程碳足迹知识驱动下装备碳排放监测系统设计方法

doi:10.3901/JME.2025.02.395

机械工程学报 ›› 2025, Vol. 61 ›› Issue (2): 395-406.doi: 10.3901/JME.2025.02.395

• 交叉与前沿 • 上一篇

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制造过程碳足迹知识驱动下装备碳排放监测系统设计方法

柯庆镝^1,2, 崔华涛^1,2, 邹翔^1,2, 鲍宏^1,2, 黄海鸿^1,2

1. 合肥工业大学机械工程学院合肥 230009;
2. 机电产品低碳循环利用技术与装备安微省重点实验室合肥 230009

收稿日期:2024-02-15 修回日期:2024-09-27 发布日期:2025-02-26
作者简介:柯庆镝，男，1984年出生，博士，副教授，硕士研究生导师。主要研究方向为绿色制造、绿色设计、再制造工程、低碳制造。E-mail：Qingdi.ke@hfut.edu.cn;崔华涛，男，1999年出生。主要研究方向为绿色设计、低碳制造。E-mail：2021110124@mail.hfut.edu.cn
基金资助:
国家重点研发计划资助项目(2020YFB1711602)。

Design Method of Equipment Carbon Emission Monitoring System Driven by Carbon Footprint Knowledge in Manufacturing Process

KE Qingdi^1,2, CUI Huatao^1,2, ZOU Xiang^1,2, BAO Hong^1,2, HUANG Haihong^1,2

1. School of Mechanical Engineering, Hefei University of Technology, Hefei 230009;
2. Anhui Provincial Key Laboratory of Low Carbon Recycling Technology and Equipment for Mechanical and Electrical Products, Heifei 230009

Received:2024-02-15 Revised:2024-09-27 Published:2025-02-26

摘要/Abstract

摘要： 智能制造及传感器技术的不断发展，为制造过程信息的主动获取提供了技术手段，以实现“双碳”政策下“低能耗、绿色”的制造过程。针对重大装备服役过程中碳排放数据获取、分析及反馈优化需求，结合制造过程碳排放模型，分析并提取碳足迹知识，提出制造过程碳足迹知识驱动下装备碳排放监测系统设计方法。分析制造过程中装备碳排放过程模型，构建基于碳排放-状态变量的碳足迹知识表达，用于提取装备碳排放信息的服役状态监测需求。结合现有在线监测技术及智能制造系统，分析各类状态变量的获取方式及特征结构，建立制造过程监测路径模型。分析碳排放监测需求下技术性及经济性代价，提出制造过程碳足迹知识驱动下装备碳排放监测系统设计方法。针对重载成形装备的服役过程，设计并搭建了对应在线监测系统，以验证所提出方法的有效性。

关键词: 碳排放监测, 制造过程, 碳足迹知识, 监测系统设计

Abstract: With the development of intelligent manufacturing and sensor, it provides methods to actively obtain manufacturing process information, for low energy consumption and green manufacturing process in the “carbon peaking and carbon neutrality” policy. Considering the carbon emission data acquisition, analysis and feedback optimization in key equipment’s usage, based on the carbon emission model of manufacturing process, the Carbon footprint knowledge is obtained, the design method of equipment carbon emission monitoring system driven by Carbon footprint knowledge in manufacturing process is proposed. First, after analyzing the carbon emission process model of equipment’s manufacturing process, the Carbon footprint knowledge expression is presented based on carbon emission-performance variable, to obtain the performance monitoring requirements of equipment carbon emission information. Secondly, based on online monitoring and intelligent manufacturing systems, the acquisition methods and feature structures of various state variables are discussed, and the monitoring model of manufacturing process is established. Then, with analyzing the technical and economic cost in monitoring requirements of carbon emission, the design method of equipment carbon emission monitoring system driven by Carbon footprint knowledge in the manufacturing process is proposed. Finally, considering the usage of heavy-duty forming equipment, the online monitoring system is designed and proposed to verify the effectiveness of the proposed method.

Key words: carbon emission monitoring, manufacturing process, carbon footprint knowledge, monitoring system design

中图分类号:

TH164

柯庆镝, 崔华涛, 邹翔, 鲍宏, 黄海鸿. 制造过程碳足迹知识驱动下装备碳排放监测系统设计方法[J]. 机械工程学报, 2025, 61(2): 395-406.

KE Qingdi, CUI Huatao, ZOU Xiang, BAO Hong, HUANG Haihong. Design Method of Equipment Carbon Emission Monitoring System Driven by Carbon Footprint Knowledge in Manufacturing Process[J]. Journal of Mechanical Engineering, 2025, 61(2): 395-406.

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制造过程碳足迹知识驱动下装备碳排放监测系统设计方法

Design Method of Equipment Carbon Emission Monitoring System Driven by Carbon Footprint Knowledge in Manufacturing Process

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