مشخصات مقاله | |
ترجمه عنوان 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) |
انتشار | مقاله سال 2022 |
تعداد صفحات مقاله انگلیسی | 16 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس نمیباشد |
نمایه (index) | DOAJ |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
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 |
فرضیه | ندارد |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | مهندسی فناوری اطلاعات، مهندسی صنایع |
گرایش های مرتبط | اینترنت و شبکه های گسترده، شبکه های کامپیوتری، تولید صنعتی |
نوع ارائه مقاله |
ژورنال |
مجله | سنسورهای بین المللی – Sensors International |
دانشگاه | Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India |
کلمات کلیدی | اینترنت صنعتی اشیا، برنامه های کاربردی، امکانات، ساخت، اینترنت اشیا |
کلمات کلیدی انگلیسی | Industrial internet of things – Applications – Features – Manufacturing – Internet of things |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.sintl.2021.100129 |
کد محصول | E15922 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
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 متن مقاله: |
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]. |