• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (11): 1-13.doi: 10.3901/JME.260586

• 特邀专栏:制造互联与工业智能 • 上一篇    

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工业互联环境下生产设备运行能耗研究现状及关键技术

江沛1, 李嘉濠1, 李孝斌1, 任磊2   

  1. 1. 重庆大学机械与运载工程学院 重庆 400044;
    2. 北京航空航天大学自动化科学与电气工程学院 北京 100191
  • 收稿日期:2025-06-08 修回日期:2025-10-28 发布日期:2026-07-29
  • 作者简介:江沛,男,1985年出生,博士,副教授,博士研究生导师。主要研究方向为机器人技术、绿色制造、智能制造等。E-mail:peijiang@cqu.edu.cn;李嘉濠,男,2001年出生,硕士研究生,主要研究方向为工业机器人能耗优化。E-mail:1403974981@qq.com;李孝斌(通信作者),男,1987年出生,博士,副教授,博士研究生导师,主要研究方向为智能制造、网络协同制造,以及大数据、物联网、人工智能等新一代信息技术在离散制造行业中的应用。E-mail:xiaobin_lee@cqu.edu.cn;任磊,男,1979年出生,博士,教授,博士研究生导师,主要研究方向为工业互联网、工业大数据、工业智能、智能制造系统等。E-mail:renlei@buaa.edu.cn
  • 基金资助:
    国家重点研发计划(2023YFB3308800)、国家自然科学基金(52475511,52075060)、重庆市研究生科研创新(CYB25008)、重庆市自然科学基金面上(CSTB2022NSCQ-MSX1283)和重庆市技术创新与应用发展专项(CSTB2024TIAD-STX0029)资助项目。

Research Status and Key Technologies for Operational Energy Consumption of Production Equipment in the Industrial Internet Environment

JIANG Pei1, LI Jiahao1, LI Xiaobin1, REN Lei2   

  1. 1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044;
    2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191
  • Received:2025-06-08 Revised:2025-10-28 Published:2026-07-29

摘要: 制造业生产设备量大面广,能耗巨大,节能减排潜力突出。然而生产设备呈现出广域分散、海量异构、能耗特征动态演化等特征,导致设备能耗的精准预测和制造过程的高效节能管控困难。工业互联网强大的全维度数据感知能力和数据分析处理能力是实现生产设备过程节能优化运行的重要技术手段。对工业互联环境下生产设备运行能耗建模与优化技术研究进行了综述。首先从设备、工艺、系统三个维度梳理了生产设备的能耗特性及现有能耗感知、建模与优化方法研究进展。在此基础上,从工业互联网视角提出了生产设备运行能耗云边端协同管控框架,并给出了工业互联环境下生产设备运行能耗协同管控关键技术,为广大制造企业生产节能优化运行及绿色转型发展提供理论支撑。

关键词: 生产设备, 能耗, 工业互联网, 研究现状

Abstract: In the manufacturing industry, there are a large number of production equipment with a wide range, huge energy consumption, and great potential for energy conservation and environmental emission reduction. However, production equipment presents characteristics such as wide area dispersion, massive heterogeneity, and dynamic evolution of energy consumption characteristics, which pose great challenges to accurate prediction of equipment energy consumption and efficient energy-saving control of manufacturing processes. The powerful full-dimensional data perception ability and data analysis and processing ability of the Industrial Internet are important technical means to realize energy-saving and optimized operation of production equipment processes. The research on perception, modeling and optimization of production equipment operational energy consumption in the industrial Internet environment is summarized. Firstly, the energy consumption characteristics of production equipment and existing perception, modeling and optimization methods were sorted out from three dimensions: equipment, process, and system. On this basis, from the perspective of industrial Internet, the operational energy consumption management and control framework for production equipment under the industrial Internet environment is summarized, and finally the key technologies for operational energy consumption of production equipment under the industrial Internet environment is summarized and analyzed.

Key words: production equipment, energy consumption, industrial internet, current research status

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