Novel detection method for the balance coefficient of the traction elevator

Yuanyuan Zhao; Zhike Zhao; Tao Lu; Xiaobing Wei

doi:10.1117/12.3026150

1 April 2024 Novel detection method for the balance coefficient of the traction elevator

Yuanyuan Zhao, Zhike Zhao, Tao Lu, Xiaobing Wei

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130823O (2024) https://doi.org/10.1117/12.3026150
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

The traditional method currently used to detect the balance coefficient of elevators has a limitation in accurately obtaining the instantaneous current signal when the elevator is at the position of the balance floor. To address this issue, a novel detection method is proposed for determining the elevator balance coefficient. As the elevator runs through its full stroke, its speed waveform exhibits a symmetrical trapezoidal distribution. By accurately capturing the start and stop signals of the elevator operation, the current signal at the position of the balance floor can be determined. In this study, a combination of red light through-beam photoelectric sensors is used to record the trigger signals during the start and stop times of the traction elevator. Real-time data collection is conducted simultaneously using both the photoelectric sensor and the current transmitter. The moment when the photoelectric signal jumps is considered as the moment when the elevator starts or stops. However, the signal collected from the red light through the photoelectric sensor may be affected by the magnetic field generated by the permanent magnet motor. To mitigate the interference of clutter signals, a simple threshold filtering method is employed based on the characteristics of noisy signals. Experimental results demonstrate that this novel balance coefficient detection device enables fast and accurate measurement of the elevator's balance coefficient.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuanyuan Zhao, Zhike Zhao, Tao Lu, and Xiaobing Wei "Novel detection method for the balance coefficient of the traction elevator", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130823O (1 April 2024); https://doi.org/10.1117/12.3026150

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KEYWORDS

Sensors

Data acquisition

Transmitters

Magnetism

Inspection

Interference (communication)

LabVIEW

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