Digital Twin applications toward Industry 4.0: A Review

复杂度 计算机科学 过程(计算) 虚拟表示法 产品(数学) 工业4.0 构造(python库) 工厂(面向对象编程) 故障排除 数据科学 数据挖掘 社会科学 几何学 数学 社会学 政治学 法学 程序设计语言 操作系统
作者
Mohd Javaid,Abid Haleem,Rajiv Suman
出处
期刊:Cognitive robotics [Elsevier]
卷期号:3: 71-92 被引量:93
标识
DOI:10.1016/j.cogr.2023.04.003
摘要

Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and digital worlds. This technology plays a vital role in fulfilling various requirements of Industry 4.0. It gives a digital image of a factory's operations, a communications network's activities, or the movement of items through a logistics system. This paper studies Digital Twin and its need in Industry 4.0. Then the process and supportive features of Digital Twin for Industry 4.0 are diagrammatically discussed, and finally, the major applications of Digital Twin for Industry 4.0 are identified. Digital Twin sophistication depends on the process or product represented and the data available. Manufacturers can learn how assets will behave in real-time, in the physical world, by putting sensors on particular assets, gathering data, creating digital duplicates, and employing machine intelligence. They can confidently make wise judgments, which helps improve company performance. Digital Twin assesses material usage to save costs, discover inefficiencies, replicate tool tracking systems, and do other things. Manufacturers construct a digital clone for specific equipment and tools, exclusive products or systems, entire procedures, or anything else they want to improve on the factory floor. Sensors and other equipment that collect real-time data on the state of the process or product collect this information, which on the other hand, must be handled and processed appropriately. It is made feasible by IoT sensors, which collect data from the physical environment and transmit it to be virtually recreated. This information comprises design and engineering details that explain the asset's shape, materials, components, and behaviour or performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
英俊qiang应助Docgrace采纳,获得10
刚刚
1秒前
1秒前
1秒前
1秒前
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
Ava应助科研通管家采纳,获得10
1秒前
爆米花应助科研通管家采纳,获得10
2秒前
文献期待应助科研通管家采纳,获得10
2秒前
科目三应助科研通管家采纳,获得10
2秒前
共享精神应助科研通管家采纳,获得10
2秒前
李健应助科研通管家采纳,获得10
2秒前
小二郎应助科研通管家采纳,获得10
2秒前
打打应助科研通管家采纳,获得10
2秒前
min完成签到,获得积分10
2秒前
周不是舟应助科研通管家采纳,获得10
2秒前
烟花应助科研通管家采纳,获得10
2秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
YH发布了新的文献求助10
3秒前
随遇而安的萝卜完成签到,获得积分10
3秒前
辣姜发布了新的文献求助10
4秒前
香蕉觅云应助缓慢耳机采纳,获得10
5秒前
BenjaminBrain完成签到,获得积分10
5秒前
6秒前
7秒前
7秒前
NexusExplorer应助Yyyyyyyyy采纳,获得10
9秒前
9秒前
量子星尘发布了新的文献求助10
10秒前
大海风发布了新的文献求助10
11秒前
可可完成签到,获得积分10
11秒前
11秒前
大胆惊蛰发布了新的文献求助10
12秒前
吴陈发布了新的文献求助10
12秒前
时倾完成签到,获得积分10
12秒前
13秒前
14秒前
mrking发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6048258
求助须知:如何正确求助?哪些是违规求助? 7831149
关于积分的说明 16259057
捐赠科研通 5193600
什么是DOI,文献DOI怎么找? 2778977
邀请新用户注册赠送积分活动 1762311
关于科研通互助平台的介绍 1644490