Real-Time Energy Consumption Sensing System in SMT Intelligent Workshop

被引:0
|
作者
Pei, Fengque [1 ,2 ]
Li, Zhi [1 ,2 ]
Di, Wei [1 ]
Mei, Song [3 ]
Song, Haojie [4 ]
机构
[1] Hohai Univ, Coll Mech & Elect Engn, Changzhou 213000, Peoples R China
[2] Hohai Univ, Changzhou Key Lab Intelligent Mfg Technol & Equipm, Changzhou 213000, Peoples R China
[3] Minist Agr & Rural Affairs, Nanjing Inst Agr Mechanizat, Nanjing 210014, Peoples R China
[4] Nanjing Res Inst Elect Engn, Nanjing 210007, Peoples R China
来源
MECHANIKA | 2023年 / 29卷 / 05期
关键词
real-time energy consumption; SMT intelligent workshop; 3-matrix;
D O I
10.5755/j02.mech.32129
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
How to ensure the "carbon peaking and carbon neutrality" goal is a crucial problem for China with good performance, low cost and limited time. As a pillar industry, the manufacturing industry need offer more great potential helps. In this paper, for the intelligent workshop, firstly, an energy consumption architecture, based on mutual inductance sensing technology & a multi-granularity production line energy consumption modeling, is put forward. Secondly, the device-level sensing technology demonstrates the detailed implementation for the multi working condition machines whose power is unknown. And then, the research devoted the basic aspects of the proposed multi-granularity production line energy consumption modeling and summarized the implementation elements of 3-matrix (the attribute attributes, power attributes and cumulative timing attributes). Above the 2 sections, the robot and SMT production lines case studies are presented separately. Results show that the architecture can effectively sense and model the energy consumption of the devices and the workshop, which provides an available method for the fine management and control of energy consumption and energy efficiency. Through this study, we hope to provide some reference ideas for future researchers.
引用
收藏
页码:387 / 394
页数:8
相关论文
共 50 条
  • [31] A real-time intelligent multiple fault diagnostic system
    Bae, Yong-Hwan
    Lee, Seok-Hee
    Kim, Ho-Chan
    Lee, Byung-Ryong
    Jang, Jaejin
    Lee, Jay
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 29 (05): : 590 - 597
  • [32] Network intrusion intelligent real-time detection system
    Zhao, Haibo
    Li, Jianhua
    Yang, Yuhang
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 1999, 33 (01): : 76 - 79
  • [33] An intelligent real-time system for polymer and composite processing
    Maguire, JF
    Miller, MA
    Venkatesen, S
    LeClair, SR
    ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1995 (AIRTC'95), 1996, : 259 - 262
  • [34] A real-time intelligent multiple fault diagnostic system
    Yong-Hwan Bae
    Seok-Hee Lee
    Ho-Chan Kim
    Byung-Ryong Lee
    Jaejin Jang
    Jay Lee
    The International Journal of Advanced Manufacturing Technology, 2006, 29 : 590 - 597
  • [35] A real-time intelligent multiple fault diagnostic system
    Bae Y.-H.
    Lee S.-H.
    Kim H.-C.
    Lee B.-R.
    Jang J.
    Lee J.
    International Journal of Advanced Manufacturing Technology, 2006, 29 (5-6): : 590 - 597
  • [36] Real-Time Embedded System-Based Approach for Sensing Power Consumption on Motion Profiles
    Olmedo-Garcia, Luis F.
    Garcia-Martinez, Jose R.
    Cruz-Miguel, Edson E.
    Barra-Vazquez, Omar A.
    Gonzalez-Lee, Mario
    Martinez-Sanchez, Trinidad
    ELECTRONICS, 2023, 12 (18)
  • [37] A Minimizing Energy Consumption Scheme for Real-Time Embedded System Based on Metaheuristic Optimization
    Liu, Zewei
    Hu, Chunqiang
    Wang, Baolin
    Chen, Jiajun
    Deng, Shaojiang
    Yu, Jiguo
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 42 (07) : 2276 - 2289
  • [38] Intelligent Multimodal and Hyperspectral Sensing for Real-Time Moving Target Tracking
    Wang, Tao
    Zhu, Zhigang
    2008 37TH IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2008, : 242 - 249
  • [39] An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving
    Mata-Carballeira, Oscar
    Diaz-Rodriguez, Mikel
    del Campo, Ines
    Martinez, Victoria
    APPLIED SCIENCES-BASEL, 2020, 10 (18):
  • [40] Digital colorimetric sensing for real-time gas monitoring for smart green energy system
    Cho, Hui Hun
    Dutta, Riya
    Kwak, Jang-Kyun
    Moon, Changgyun
    Kim, Min-Jae
    Suh, Su-Jeong
    Kim, Dong-Hwan
    Lee, Jung Heon
    Kim, Sunkook
    ECOMAT, 2023, 5 (09)