The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Toward the Future—Upgrading Existing Remote Monitoring Concepts to IIoT Concepts
Open accessAbstract
The futuristic idea of smart factories should take into account existing industrial facilities and the practical application of IIoT in them. The greatest benefits from the implementation of IIoT concepts are expected in the modification and modernization of complex technical systems. The modification of existing concepts of multiparameter monitoring systems into IIoT concepts is one of the hot issues of IIoT. This article deals with the practical aspect of this issue and provides an overview of two procedures for transforming existing three monitoring system concepts into IIoT concepts. The first system consists of three wayside hotbox monitoring systems that are installed in three distant locations. This system plays an important role in keeping railway safety, preventive maintenance, and accident avoidance, and thus provides reliable transport and accumulation of coal in two thermal power plants. The second one is useful for monitoring the presence of the vessels in the lock gate zones and controlling water traffic through the river lock. The third system is useful for infrared temperature measuring and detecting of overheated water-cooled rotor poles of hydrogenerators in the hydropower plant. The existing concepts of three remote multiparameter monitoring systems, as well as their novel IIoT concepts and multilayered frameworks, are described in detail.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The problem of remote access to enterprise resources at the edge has been analyzed in Industrial IoT scenarios [9] or in Industrial Control Systems architectures [10,11], often with a reduced focus on security.”
From A Zero-Trust Architecture for Remote Access in Industrial IoT Infrastructures (2023) · cites this paper as [9]
Citations
Cites
1 retracted
Aldaej, A. (2019) · IEEE Access · doi:10.1109/access.2019.2893445 · Cited by 31
RetractedLasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276
Guide to Industrial Control Systems (ICS) Security
Stouffer, K., Pillitteri, V., Lightman, S., Abrams, M., & Hahn, A. (2015) · doi:10.6028/nist.sp.800-82r2 · Cited by 1,377
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017) · IEEE Access · doi:10.1109/access.2017.2783682 · Cited by 1,150
Xia, F., Yang, L. T., Wang, L., & Vinel, A. V. (2012) · International Journal of Communication Systems · doi:10.1002/dac.2417 · Cited by 846
Software-Defined Industrial Internet of Things in the Context of Industry 4.0
Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M. A., & Vasilakos, A. V. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2565621 · Cited by 691
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
Aazam, M., Zeadally, S., & Harras, K. A. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2855198 · Cited by 572
Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective
Wang, K., Wang, Y., Sun, Y., Guo, S., & Wu, J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.1600399cm · Cited by 435
Operating Systems for Low-End Devices in the Internet of Things: A Survey
Hahm, O., Baccelli, E., Petersen, H., & Tsiftes, N. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2505901 · Cited by 305
Das, A. K., Wazid, M., Kumar, N., Vasilakos, A. V., & Rodrigues, J. J. P. C. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2877690 · Cited by 234
Research works printed but not linked: 4
- kamolov, 2017, IoT based smart reporting and mooring system for vessels, Proc Korean Inst Commun Inf Sci Conf, 27, 395
- 2013, NIST Cloud Computing Standards Roadmap
- 2017, Connectivity Backbone of the Digital Enterprise
- anderson, 0, The Industrial Internet of Things Volume T3 Analytics Framework
Cited by
Sorted by citations
Luo, T., Xie, J., Zhang, B., Zhang, Y., Li, C., & Zhou, J. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122780 · Cited by 80
A Zero-Trust Architecture for Remote Access in Industrial IoT Infrastructures
Federici, F., Martintoni, D., & Senni, V. (2023) · Electronics · doi:10.3390/electronics12030566 · Cited by 74
dos Santos, J. F., Tshoombe, B. K., Santos, L. H. B., Araújo, R. C. F., Manito, A. R. A., Fonseca, W. D. S., & Silva, M. D. O. E. (2022) · IEEE Access · doi:10.1109/access.2022.3232063 · Cited by 59
A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain
Fanoro, M., Božanić, M., & Sinha, S. (2021) · Technologies · doi:10.3390/technologies9040077 · Cited by 50
Data science and machine learning in the IIoT concepts of power plants
Milić, S., Đurović, Ž., & Stojanović, M. D. (2022) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2022.108711 · Cited by 38
Self-citation
Metadata
- Authors
- Milic, S. D., & Babic, B. M.
- Affiliations
- University of Belgrade (RS)
- Venue
- IEEE Internet of Things Journal
- Published
- 2020-12
- Volume
- 7
- Issue
- 12
- Pages
- 11693-11700
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W3034119023
- Cited by
- 34
- References
- 30
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 8 · 2022: 5 · 2021: 5
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Industrial Internet of Things, remote monitoring, smart factory, thermal power plants, coal transportation, infrared thermometry, hydrogenerators, hydroelectric power plant, preventive maintenance, railway safety, system modernization
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