Lift real-time data transmission and scheduling system based on 5G communication
The current lift system faces problems such as low data transmission efficiency, inaccurate fault prediction, and unintelligent operation scheduling. This paper designs a real-time data transmission and scheduling system for lifts based on 5G communication technology, and constructs a four-layer architecture of data collection, 5G network transmission, cloud processing and application services. The system makes use of the high bandwidth and low latency characteristics of 5G network to achieve real-time transmission and processing of lift operation data, and significantly improves the efficiency of lift operation and fault prediction ability through edge computing and intelligent scheduling algorithms. The system provides a new technical path for intelligent management of lifts, which is of great significance in promoting the intelligent transformation of vertical transport systems.
Authors
- Gang Huang (ORCID: https://orcid.org/0000-0002-3249-9315)
- Jinlong Li (ORCID: https://orcid.org/0000-0002-0915-4095)
- Bei Guo
- Jin Liu (ORCID: https://orcid.org/0000-0001-7249-698X)
Institutions
- Zibo Vocational Institute (CN)
- The Fourth People's Hospital of Zibo City (CN)
- Shinva (China) (CN)
Publication Details
- Published
- 2025-07-11
- DOI
- https://doi.org/10.1109/cisat66811.2025.11181807
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00