The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Industrie 4.0: Enabling technologies
Abstract
With the development of industries, we have realized the third industrial revolution. Following the development of Cyber-Physical Systems (CPS), industrial wireless network and some other enabling technologies, the fourth industrial revolution is being gradually rolled out. This paper presents an overview of the background, concept, basic methods, major technologies and application scenarios for industrie 4.0. In our view, industrie 4.0 as an abstract concept can closely integrate the physical world with virtual world. This strategy of industrie 4.0 will lead to more and more people coming to participate in the manufacturing process and further popularize our products through CPS technology. The typical approach for industrie 4.0 is the social manufacturing. In fact, the social manufacturing can directly link our customers' need and our industries, but it must be based on the enabling technologies, such as embedded systems, wireless sensor network, industrial robots, 3D printing, cloud computing, and big data. Therefore, this paper in detail explains these concepts, advantages and the relations to industries. We can foresee that our life will be changed to be more efficient, fast, safe and convenient due to the development of industrie 4.0 in the near future.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
Data Mining for Internet of Things: A Survey
Tsai, C.-W., Lai, C.-F., Chiang, M.-C., & Yang, L. T. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.103013.00206 · Cited by 620
Cited by
Future developments in standardisation of cyber risk in the Internet of Things (IoT)
Radanliev, P., De Roure, D. C., Nurse, J. R. C., Mantilla Montalvo, R., Cannady, S., Santos, O., Maddox, L., Burnap, P., & Maple, C. (2020) · SN Applied Sciences · doi:10.1007/s42452-019-1931-0 · Cited by 91
Cyber Risk Management for the Internet of Things
Radanliev, P., Charles De Roure, D., R.C. Nurse, J., Burnap, P., Anthi, E., Uchenna, A., Maddox, L., Santos, O., & Mantilla Montalvo, R. (2019) · doi:10.20944/preprints201904.0133.v1 · Cited by 17
Metadata
- Authors
- Wan, J., Cai, H., & Zhou, K.
- Venue
- Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things
- Publisher
- IEEE
- Published
- 2015-01
- Pages
- 135-140
- OpenAlex
- W1602301441
- Cited by
- 202
- References
- 2
- FWCI
- 38.50
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Industrie 4.0: Enabling technologies. https://app.cochat.ai/papers/10.1109/icaiot.2015.7111555
- The paper
- Wan, J., Cai, H., & Zhou, K. (2015). Industrie 4.0: Enabling technologies. Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things. https://doi.org/10.1109/icaiot.2015.7111555
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.