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An integrated energy efficiency evaluation method for forging workshop based on IoT and data-driven

delete2022-10-01
delete7
PRE
AI
H
Hongwei Zhang
L
Li Li *
L
Li, Lingling
W
Wei Cai
J
Jiefei Liu
J
John W. Sutherland
DOI:10.1016/j.jmsy.2022.10.010delete
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摘要

摘要

En 中文
Forging is an industry with high emissions and high energy consumption. Due to the constant increase in the international energy price and the negative impact on the world's environment, researchers have begun to focus on transforming forging into information and sustainable development. However, there remains a substantial gap in the development of the energy management process and energy-efficiency evaluation for complicated forging processes. Therefore, this paper defines a multi-level energy flow model and energy indicators with forging energy characteristics. Then, an energy management system for energy efficiency evaluation is developed based on IoT and data-driven. The energy consumption data are conceived for collection, transmission, storage, processing, mining, and application. Moreover, an integrated energy efficiency evaluation method is detailed with the system energy consumption data. Finally, a case study is carried out to verify the proposal's feasibility and credibility. Through the proposed evaluation method, a forging enterprise can make energy efficiency-optimization decisions.
Keyword:
Energy efficiency evaluation
Forging workshop
IoT
Data-driven

期刊

Journal of Manufacturing Systems 封面图
Journal of Manufacturing Systems
IF:
14.2
论文数:
2.7K
被引数:
1.6W

机构

S
southwest university - china
学者数:
2.6W
论文数: 1.9W
被引数: 21
Purdue University System 封面图
Purdue University System
学者数:
4.0W
论文数: 3.6W
被引数: 66
P
Purdue University
学者数:
2.7W
论文数: 2.1W
被引数: 147
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