IoT and digital twin enabled smart tracking for safety management
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A series of DT models for indoor safety tracking has been created.
“A series of DT models for indoor safety tracking has been created.”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [104]
These DT models are designed to identify abnormal motionless behavior and implement self-learning genetic positioning.
“These models are designed to identify abnormal motionless behavior and implement self-learning genetic positioning.”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [104]
The DT concept has been seamlessly integrated into the design and development of the framework to achieve real-time visibility and traceability.
“To achieve real-time visibility and traceability, the DT concept has been seamlessly integrated into the design and development of the framework.”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [104]
These DT models are utilized to monitor the status of operators and provide accurate information on their precise indoor location.
“They are utilized to monitor the status of operators and provide accurate information on their precise indoor location.”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [104]
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- Authors
- Zhao, Z., Shen, L., Yang, C., Wu, W., Zhang, M., & Huang, G. Q.
- Affiliations
- Nanjing University of Posts and Telecommunications (CN)
- University of Hong Kong (HK)
- Beijing Institute of Technology (CN)
- Corresponding author
- Yang, Chen
- Venue
- Computers & Operations Research
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 128
- Pages
- 105183
- ISSN
- 0305-0548 (ISSN-L)
- OpenAlex
- W3110867873
- Cited by
- 155
- References
- 46
- Citations by year
- 2026: 17 · 2025: 34 · 2024: 39 · 2023: 30 · 2022: 27 · 2021: 8
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Operations Research (publishedVersion)
- Funders
- Natural Science Foundation of Jiangsu Province (BK20180749)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Keywords
- indoor positioning, cold storage facilities, cold chain, digital twin, Internet of Things, safety management, real-time location tracking
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