مقاله انگلیسی ارتقاء بخش تولید از طریق کاربردهای اینترنت اشیا صنعتی (IIoT)
ترجمه نشده

مقاله انگلیسی ارتقاء بخش تولید از طریق کاربردهای اینترنت اشیا صنعتی (IIoT)

عنوان فارسی مقاله: ارتقاء بخش تولید از طریق کاربردهای اینترنت اشیا صنعتی (IIoT)
عنوان انگلیسی مقاله: Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)
مجله/کنفرانس: سنسورهای بین المللی - Sensors International
رشته های تحصیلی مرتبط: مهندسی فناوری اطلاعات، مهندسی صنایع
گرایش های تحصیلی مرتبط: اینترنت و شبکه های گسترده، شبکه های کامپیوتری، تولید صنعتی
کلمات کلیدی فارسی: اینترنت صنعتی اشیا، برنامه های کاربردی، امکانات، ساخت، اینترنت اشیا
کلمات کلیدی انگلیسی: Industrial internet of things - Applications - Features - Manufacturing - Internet of things
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: DOAJ
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.sintl.2021.100129
دانشگاه: Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
صفحات مقاله انگلیسی: 16
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2022
ایمپکت فاکتور: 0.635 در سال 2020
شاخص H_index: 38 در سال 2021
شاخص SJR: 0.255 در سال 2020
شناسه ISSN: 2666-3511
شاخص Quartile (چارک): Q3 در سال 2020
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
آیا این مقاله فرضیه دارد: ندارد
کد محصول: E15922
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

Keywords

1. Introduction

2. What is the industrial Internet of Things (IIoT)

3. Need of IIoT

4. Research objectives

5. Different supporting technologies of IIoT

6. Major benefits of IIoT in manufacturing

7. Collective features of IIoT for Manufacturing Domain

8. Smart Transformations made into manufacturing through IIoT culture

9. Applications of IIoT in the field of manufacturing

10. Discussion

11. Limitations and future scope

12. Conclusion

Conflicts of interest

Declaration of competing interest

References

بخشی از مقاله (انگلیسی)

Abstract

Now a day's manufacturing has become more intelligent and data-driven. A smart production unit can be thought of as a powerful connected industrial system with materials, parts, equipment, tools, inventory, and logistics that can transmit data and communicate with one another in the age of the Industrial Internet of Things (IIoT). This IIoT refers to linked devices, sensors, and other equipment that may be networked in the industrial environment to provide remote access, effective monitoring, better data collecting, analysis, & exchange etc. In Industry 4.0, IIoT is fundamental to transforming cyber-physical systems and production processes through big data and analytics. This paper provides an overview of the IIoT and the technologies that underpin it. The primary benefits and features of IIoT in manufacturing are discussed in detail. Smart Transformations made into the manufacturing field through IIoT Culture are discussed diagrammatically. Finally, twenty-nine significant applications of IIoT in the field of manufacturing are identified and discussed. IIoT can monitor the transport, supply of the goods, consult details on things in warehouses, and check the conditions related to product storage and delivery and allow all dispersed and outsourced operations to be monitored. Therefore, the industry is being revolutionised by IIoT, altering the way industrial enterprises function daily to improve efficiency and performance levels.

 

1. Introduction

Industrial Internet of Things (IIoT) is the next level of Internet of Things (IoT) technology and is unique in its manufacturing transformation. Companies seeking a competitive edge today need just look at the capabilities that IIoT can offer the advantages all from maintenance, logistics providers, workflows for employees, and product delivery. IIoT enables manufacturers to digitise almost all parts of their businesses. Manufacturers can decrease the main risks associated with manual work and human error by minimising hand processes and entries. IIoT can help decrease cyber risk and human mistake data violations. There are hundreds of sensors that generate data in a typical industrial plant [[1], [2], [3]]. With IIoT, producers can proactively enhance performance by recognising possible bottlenecks, breakdowns, and production process gaps. Combining data from a site network may also contribute to more effective management of material flows early detection and identification of production, and optimising machinery and equipment performance at all installations [4,5].