Copper industrial product monitoring system based on digital twin technology

被引：0
作者：
Li, Can [1 ]
Zhu, Zhengyuan [1 ]
Mao, Xiang [1 ]
机构：
[1] Nanchang Univ, Nanchang 330031, Jiangxi, Peoples R China
来源：
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ALGORITHMS, SOFTWARE ENGINEERING, AND NETWORK SECURITY, ASENS 2024 | 2024年
关键词：
Digital Twin; Copper Industrial Product Monitoring; Data Acquisition; Data Processing; Data Analysis; Visualization; Visual Detection;
D O I：
10.1145/3677182.3677276
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes the design of a monitoring system for copper industrial products that uses digital twin technology. The system's objective is to monitor the dimensions and surface conditions of copper components in industrial settings accurately. The paper provides a comprehensive overview of the system's structure and functionality, including the design of the visualization dashboard. It also explains the implementation of the data acquisition, processing, analysis, and visualization modules. Additionally, this text discusses the use of visual detection techniques for dimension inspection and defect recognition in detail. The system's architecture incorporates advanced sensing technologies and computational algorithms to ensure accurate monitoring and assessment of copper product attributes.
引用
收藏
页码：531 / 536
页数：6
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