Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Recently, the development and utilization of industrial heritage resources by using big data has gradually attracted attention.
This paper proposes a real-time visualization optimization management simulation of an industrial heritage cloud platform, which realizes the high reliability and diversified storage and utilization of industrial big data by the cloud data distributed storage subsystem.
The big data prediction model of the GRU neural network based on a spark distributed framework is constructed to realize the prediction of industrial genetic data.
Finally, visualization technology can provide information supporting for industrial production by displaying effective information intuitively.
The model’s effectiveness and reliability are verified by simulation.
American Psychological Association (APA)
Gao, Mengya. 2020. Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1145151
Modern Language Association (MLA)
Gao, Mengya. Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1145151
American Medical Association (AMA)
Gao, Mengya. Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1145151
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145151