Design pragmatic method to low-carbon economy visualisation in enterprise systems based on big data

被引：4
|
作者：
Guan, Zhigui [1 ]
Zhao, Yuanjun [2 ]
Wang, Xingdong [3 ]
机构：
[1] Shenzhen Inst Informat Technol, Sch Finance & Econ, Shenzhen, Peoples R China
[2] Shanghai Lixin Univ Accounting & Finance, Sch Business Adm, Shanghai, Peoples R China
[3] Shenzhen Polytech, Sch Commun Engn, Shenzhen 518000, Peoples R China
来源：
ENTERPRISE INFORMATION SYSTEMS | 2022年 / 16卷 / 8-9期
关键词：
Big data; smart factory; quality control; low-carbon economy; visualisation platform; TECHNOLOGY;
D O I：
10.1080/17517575.2021.1898049
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The production execution system is designed and constructed to achieve intelligent inspection of product quality and information management of energy conservation and emission reduction in intelligent factories. In this study, big data and business intelligence (BI) data are applied to analyse and standardise the production process, and a low-carbon economic visualisation platform is designed. The research results show that the application of big data technology in intelligent factory quality management and low-carbon economy visualisation platform can make up for the lack of objectivity of product quality management, and realise the visualisation of low-carbon economy data index.
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收藏
页数：24
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