Real-Time Energy Consumption Sensing System in SMT Intelligent Workshop

IF 0.6 4区 工程技术 Q4 MECHANICS
Mechanika Pub Date : 2023-10-18 DOI:10.5755/j02.mech.32129
Fengque PEI, Zhi LI, Wei DI, Song MEI, Haojie SONG
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引用次数: 0

Abstract

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.
SMT智能车间实时能耗传感系统
如何确保“碳调峰和碳中和”的目标,是中国一个性能好、成本低、时间有限的关键问题。制造业作为支柱产业,需要提供更多巨大的潜力助力。本文针对智能车间,首先提出了一种基于互感传感技术的能耗体系结构;提出了一种多粒度生产线能耗模型。其次,对功率未知的多工况机器进行了设备级传感技术的详细实现。然后,研究了所提出的多粒度生产线能耗建模的基本方面,总结了3-矩阵的实现要素(属性属性、功率属性和累计时序属性)。以上2节分别介绍了机器人和SMT生产线的案例研究。结果表明,该体系结构能够有效地感知设备和车间的能耗并建立模型,为能耗和能效的精细化管理和控制提供了一种可行的方法。希望通过本研究,为今后的研究者提供一些参考思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mechanika
Mechanika 物理-力学
CiteScore
1.30
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The journal is publishing scientific papers dealing with the following problems: Mechanics of Solid Bodies; Mechanics of Fluids and Gases; Dynamics of Mechanical Systems; Design and Optimization of Mechanical Systems; Mechanical Technologies.
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