Research on Fault Monitoring and Early Warning System of Elevators Based on Internet of Things

With the acceleration of urbanization, the number of elevators continues to increase, and elevator safety issues are becoming increasingly prominent. In order to improve the safety and reliability of elevators, this paper proposes an elevator fault monitoring and early warning system based on the Internet of Things. The system utilizes IoT technology to monitor the real-time operation status of elevators and provide early warning for elevator malfunctions. The hardware part includes a microcontroller, sensors, buzzer alarm module, and display module. The system software is divided into local software, communication software, and monitoring software. The monitoring software is the top layer in the Internet of Things, providing a monitoring interface for fault monitoring personnel. Local software is the control program of the local controller, responsible for data collection, processing, storage, and uploading in case of faults. Communication software is responsible for the communication of information. The feasibility and effectiveness of the system were verified by analyzing the hardware design, software design, and testing results of the system.

Authors

Publication Details

Published
2024-08-14
DOI
https://doi.org/10.1109/peeec63877.2024.00054
Citations
1
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Fault Monitoring and Early Warning System of Elevators Based on Internet of Things

Chenggang Zhang, Xiaojun Jiang
1 citations
Elevator Systems and Control
0.33
article

Research on Fault Monitoring and Early Warning System of Elevators Based on Internet of Things

Chenggang Zhang, Xiaojun Jiang
article en
1 citations

Abstract

With the acceleration of urbanization, the number of elevators continues to increase, and elevator safety issues are becoming increasingly prominent. In order to improve the safety and reliability of elevators, this paper proposes an elevator fault monitoring and early warning system based on the Internet of Things. The system utilizes IoT technology to monitor the real-time operation status of elevators and provide early warning for elevator malfunctions. The hardware part includes a microcontroller, sensors, buzzer alarm module, and display module. The system software is divided into local software, communication software, and monitoring software. The monitoring software is the top layer in the Internet of Things, providing a monitoring interface for fault monitoring personnel. Local software is the control program of the local controller, responsible for data collection, processing, storage, and uploading in case of faults. Communication software is responsible for the communication of information. The feasibility and effectiveness of the system were verified by analyzing the hardware design, software design, and testing results of the system.

Climate action
Openalex Percentile: Top 37%
Elevator Systems and Control
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Fault Monitoring and Early Warning System of Elevators Based on Internet of Things — Chenggang Zhang, Xiaojun Jiang · (2024) | TGRS Research Map | TGRS