IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing
Abstract
Recently, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for implementing CMfg is how to realize manufacturing resource intelligent perception and access. In order to achieve intelligent perception and access of various manufacturing resources, the applications of IoT technologies in CMfg has been investigated in this paper. The classification of manufacturing resources and services, as well as their relationships, are presented. A five-layered structure (i.e., resource layer, perception layer, network layer, service layer, and application layer) resource intelligent perception and access system based on IoT is designed and presented. The key technologies for intelligent perception and access of various resources (i.e., hard manufacturing resources, computational resources, and intellectual resources) in CMfg are described. A prototype application system is developed to valid the proposed method.
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DT provides further advancement on smart manufacturing by managing data by providing relevant information in real-time.
“DT provides further advancement on smart manufacturing by managing these data by providing relevant information in real-time.”
From A review of digital twin applications in construction (2022) · cites this paper as Tao et al, 2014
Cites
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Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172 · see citing works
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“[28] put forward the concept, architecture, and network characteristics of social IoT by combining the IoT with social networks.”
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Industry 5.0: A survey on enabling technologies and potential applications
Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100257 · Cited by 1,890 · see citing works
Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716 · see citing works
Self-citationInternet of things and supply chain management: A literature review
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019) · International Journal of Production Research · doi:10.1080/00207543.2017.1402140 · Cited by 1,501 · see citing works
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An energy-efficient architecture for the Internet of Things (IoT)
Kaur, N., & Sood, S. K. (2017) · IEEE Systems Journal · doi:10.1109/jsyst.2015.2469676 · Cited by 282 · see citing works
A review of digital twin applications in construction
Madubuike, O. C., Anumba, C. J., & Khallaf, R. (2022) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2022.008 · Cited by 147 · see citing works
“To attain a realtime update on the status of the bridge, sensors are attached to obtain relevant data which are simulated in the IoT cloud platform to produce the expected real-time updates.”
Influential
- Authors
- Tao, F., Zuo, Y., Xu, L. D., & Zhang, L.
- Affiliations
- Beihang University (CN)
- Chinese Academy of Sciences (CN)
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2014-05
- Volume
- 10
- Issue
- 2
- Pages
- 1547-1557
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2020041214
- Cited by
- 587
- References
- 2
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 23 · 2023: 30 · 2022: 51 · 2021: 57 · 2020: 60 · 2019: 87 · 2018: 87 · 2017: 74 · 2016: 52 · 2015: 42 · 2014: 7
- FWCI
- 109.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Industrial Informatics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- cloud manufacturing, Internet of Things, access to resources, service-oriented manufacturing, layered architecture, computational resources, intellectual resources, prototype system
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