Related Experiment Video
Updated: Apr 20, 2026
04:06
Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
Published on: January 12, 2024
1.2K
A wireless swing angle measurement scheme using attitude heading reference system sensing units based on
Bingtuan Gao1, Zhenyu Zhu2, Jianguo Zhao3
1School of Electrical Engineering, Southeast University, No. 2, Sipailou, Nanjing 210096, China. gaobingtuan@seu.edu.cn.
Sensors (Basel, Switzerland)
|December 2, 2014
Summary
This study introduces a wireless MEMS system for real-time crane swing angle measurement. The system enhances industrial crane safety and efficiency by accurately tracking payload movement using advanced sensors and filters.
Area of Science:
- Engineering
- Robotics
- Instrumentation
Background:
- Industrial cranes require precise swing angle measurement for operational safety and efficiency.
- Existing methods may lack real-time capabilities or are complex to implement.
- Accurate payload orientation monitoring is crucial for preventing accidents and optimizing load handling.
Purpose of the Study:
- To develop and validate a novel wireless Microelectromechanical System (MEMS)-based system for real-time swing angle measurement in industrial cranes.
- To integrate Attitude Heading Reference System (AHRS) sensing units with wireless communication for robust data acquisition.
- To enable precise calculation of payload swing angles by combining sensor data with crane system parameters.
Main Methods:
- Utilized two wireless AHRS sensing units, one on the payload and one on the crane base, each equipped with a three-axis accelerometer, gyroscope, and magnetometer.
- Employed the Extended Kalman Filter (EKF) algorithm to estimate the orientation of both the payload and the base.
- Implemented wireless ZigBee communication to transmit payload orientation data to the base unit for integrated calculations.
Main Results:
- The proposed system successfully estimated the orientation of the payload and the crane base in real-time.
- Swing angles were accurately calculated by integrating sensor-derived orientation data with physical parameters from the crane control system.
- Experimental validation demonstrated the feasibility and effectiveness of the MEMS-based swing angle measurement system.
Conclusions:
- The wireless MEMS-based AHRS system provides a feasible and effective solution for real-time swing angle measurement in industrial cranes.
- This technology has the potential to significantly improve the safety and efficiency of crane operations.
- The integration of MEMS sensors, EKF, and wireless communication offers a robust approach for complex motion monitoring.
