High parameter elevator health monitoring and on-demand operation and maintenance technology
With the acceleration of urbanization, high parameter elevators are widely used in super high-rise buildings and large commercial complexes. However, the increase in elevator load and frequency of use has brought challenges to safe operation. Through the Internet of Things, big data, and artificial intelligence technologies, we have conducted in-depth research on elevator health monitoring and on-demand operation and maintenance, achieving real-time monitoring and fault warning, reducing downtime caused by malfunctions, and improving operation and maintenance efficiency. Fault prediction and health assessment are carried out in combination with big data analysis and artificial intelligence. At the same time, edge computing and cloud computing are used to process data together to optimize scheduling and operation and maintenance mode. This article explores the key technologies of elevator health monitoring and on-demand operation and maintenance, proposes improvement plans, and enhances the intelligent operation and maintenance level of elevators. This not only improves the technological level of elevator manufacturing industry, but also promotes the intelligent transformation of property management.
Authors
- Yun Liu (ORCID: https://orcid.org/0000-0002-1370-4467)
- Licheng Yang
- Jiang Yujun
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.58286/31033
- Primary Topic
- Elevator Systems and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00