面向多场景的机床加工过程环境排放清单数据获取方法研究

doi:10.3901/JME.260026

机械工程学报 ›› 2026, Vol. 62 ›› Issue (1): 361-373.doi: 10.3901/JME.260026

• 数字化设计与制造 • 上一篇

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面向多场景的机床加工过程环境排放清单数据获取方法研究

肖兴源^1,2, 王黎明^1,2, 汪晓光^1,2,3, 李方义^1,2, 李剑峰^1,2,4, 聂延艳⁴, 刘伟彤^1,2, 王忆同^1,2, 马艳^1,2, 王泊云^1,2, 崔羽齐^1,2

1. 山东大学机械工程学院济南 250061;
2. 山东大学高效洁净机械制造教育部重点实验室济南 250061;
3. 中国机械工业联合会北京 100010;
4. 山东大学工程训练中心济南 250002

收稿日期:2025-01-08 修回日期:2025-07-03 发布日期:2026-02-13
作者简介:肖兴源，男，1999年出生。主要研究方向为绿色设计、生命周期评估、绿色制造。E-mail：xiaoxingyuan1999@mail.sdu.edu.cn
王黎明(通信作者)，男，1986年出生，博士，教授，博士研究生导师。主要研究方向为绿色设计与制造、生命周期评价和智能优化算法。E-mail：liming_wang@sdu.edu.cn
基金资助:
国家重点研发计划(2020YFB1711601)和国家自然科学基金(52175473)资助项目。

Acquisition of Life Cycle Inventory for Manufacturing Process of Machine Tools Subjected to Multi-scenario

XIAO Xingyuan^1,2, WANG Liming^1,2, WANG Xiaoguang^1,2,3, LI Fangyi^1,2, LI Jianfeng^1,2,4, NIE Yanyan⁴, LIU Weitong^1,2, WANG Yitong^1,2, MA Yan^1,2, WANG Boyun^1,2, CUI Yuqi^1,2

1. School of Mechanical Engineering, Shandong University, Jinan 250061;
2. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061;
3. China Machinery Industry Federation, Beijing 100010;
4. Engineering Training Center, Shandong University, Jinan 250002

Received:2025-01-08 Revised:2025-07-03 Published:2026-02-13

摘要/Abstract

摘要： 机床加工场景复杂多样，加工过程环境排放扩散无规律、时变性强等特点，导致清单数据实时获取困难，造成制造工艺环境排放清单数据缺失严重等问题，制约了机床加工过程的环境影响分析以及绿色化改进。针对上述问题，构建了基于“加工设备-加工对象-辅助材料-工艺参数”的机床加工单元过程场景模型，实现了机床加工场景信息的统一表达。在此基础上，搭建了基于物联网(Internet of Things，IoT)架构的环境排放清单数据采集系统，实时采集、传输、处理和存储清单数据；提出了面向多场景的机床加工过程环境排放采集策略和清单计算模型，实现复杂工况下的排放数据采集与转换。最后，以电火花线切割机床加工过程为例，基于正交试验探究了场景属性对环境性能的影响趋势，确定了最优工艺方案，验证了所提方法的可行性与有效性。该研究为机床加工过程环境排放清单数据的实时采集、建模、溯源提供了一套系统的解决方案，为机床加工过程的绿色工艺评价、优化与绿色改造提供了量化基础数据和决策参考。

关键词: 绿色制造, 机床加工, 场景建模, 环境排放, 清单数据

Abstract: The complexity and diversity of machine tool processing scenarios, along with the irregular diffusion and strong time variability of environmental emissions during the manufacturing process, lead to significant challenges in obtaining real-time inventory data. These challenges result in severe data gaps in the environmental emission inventory of manufacturing processes, thereby constraining environmental impact analysis and green improvement efforts in machine tool processing. To address these issues, a machine tool processing unit process scenario model is constructed based on the framework of “processing equipment, processing object, auxiliary materials, and process parameters,” enabling a unified representation of machine tool processing scenario information. On this basis, an environmental emission inventory data collection system is developed using the Internet of Things (IoT) architecture, which facilitates real-time collection, transmission, processing, and storage of inventory data. A strategy for environmental emission data collection and an inventory calculation model for multi-scenario machine tool processing are proposed, allowing for the acquisition and conversion of emission data under complex working conditions. Finally, the electrical discharge wire-cutting machine tool processing is taken as an example, and the influence of scenario attributes on environmental performance is explored through orthogonal experiments, leading to the determination of an optimal process scheme. The feasibility and effectiveness of the proposed method are thereby validated. This research provides a systematic solution for real-time collection, modeling, and traceability of environmental emission inventory data in machine tool processing, offering quantitative foundational data and decision-making references for green process evaluation, optimization, and green transformation in the field.

Key words: green manufacturing, machine tool processing, scenario modeling, environmental emissions, inventory data

中图分类号:

TH166
TG506

肖兴源, 王黎明, 汪晓光, 李方义, 李剑峰, 聂延艳, 刘伟彤, 王忆同, 马艳, 王泊云, 崔羽齐. 面向多场景的机床加工过程环境排放清单数据获取方法研究[J]. 机械工程学报, 2026, 62(1): 361-373.

XIAO Xingyuan, WANG Liming, WANG Xiaoguang, LI Fangyi, LI Jianfeng, NIE Yanyan, LIU Weitong, WANG Yitong, MA Yan, WANG Boyun, CUI Yuqi. Acquisition of Life Cycle Inventory for Manufacturing Process of Machine Tools Subjected to Multi-scenario[J]. Journal of Mechanical Engineering, 2026, 62(1): 361-373.

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面向多场景的机床加工过程环境排放清单数据获取方法研究

Acquisition of Life Cycle Inventory for Manufacturing Process of Machine Tools Subjected to Multi-scenario

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