<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper first analyzes the mechanism of transmission line dancing and constructs the mathematical model of transmission line dancing and the parameters of transmission line dancing. Then, a transmission line dancing monitoring and warning system is designed by integrating multiple inertial sensors, and the tower monitoring main splitter and wireless inertial monitoring and warning unit are designed, respectively. Then, the transmission line dancing trajectory was denoised using the wavelet threshold method, and the two-way inequality was determined by the attitude decomposition algorithm so as to design the transmission line dancing trajectory parameter identification algorithm. Finally, the designed system is tested experimentally, and the monitoring performance of the dance monitoring trajectory system is analyzed using collected data. The results show that the angular error of the sensor’s pitch and roll attitudes is within 0.5°, the angular error of the heading angle is within 1°, and the acceleration of the smoothed signal is in the range of -0.2/g~0.2/g. The relative error of amplitude recognition is up to 2.6 cm, and the frequency recognition basically agrees with the actual movement frequency, which is 0.21 Hz, and the error of the recognized frequency is within 0.03 Hz. Hz.</p>
</abstract>

This paper first analyzes the mechanism of transmission line dancing and constructs the mathematical model of transmission line dancing and the parameters of transmission line dancing. Then, a transmission line dancing monitoring and warning system is designed by integrating multiple inertial sensors, and the tower monitoring main splitter and wireless inertial monitoring and warning unit are designed, respectively. Then, the transmission line dancing trajectory was denoised using the wavelet threshold method, and the two-way inequality was determined by the attitude decomposition algorithm so as to design the transmission line dancing trajectory parameter identification algorithm. Finally, the designed system is tested experimentally, and the monitoring performance of the dance monitoring trajectory system is analyzed using collected data. The results show that the angular error of the sensor’s pitch and roll attitudes is within 0.5°, the angular error of the heading angle is within 1°, and the acceleration of the smoothed signal is in the range of -0.2/g~0.2/g. The relative error of amplitude recognition is up to 2.6 cm, and the frequency recognition basically agrees with the actual movement frequency, which is 0.21 Hz, and the error of the recognized frequency is within 0.03 Hz. Hz.

Research on transmission line dance monitoring and early warning system by fusing multi inertial sensors

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper first analyzes the mechanism of transmission line dancing and constructs the mathematical model of transmission line dancing and the parameters of...

Research on transmission line dance monitoring and early warning system by fusing multi inertial sensors

Pubblicato online: 09 dic 2023

Pagine: -

Ricevuto: 16 gen 2023

Accettato: 19 giu 2023

DOI: https://doi.org/10.2478/amns.2023.2.01425

Parole chiave
Dance mathematical model, Wavelet threshold denoising, Pose decomposition algorithm, Dance trajectory recognition algorithm, Multi inertial sensor, Dance monitoring system

© 2023 Shuhuai An et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on transmission line dance monitoring and early warning system by fusing multi inertial sensors

Pubblicato online: 09 dic 2023

Pagine: -

Ricevuto: 16 gen 2023

Accettato: 19 giu 2023

DOI: https://doi.org/10.2478/amns.2023.2.01425

Parole chiaveDance mathematical model, Wavelet threshold denoising, Pose decomposition algorithm, Dance trajectory recognition algorithm, Multi inertial sensor, Dance monitoring system

© 2023 Shuhuai An et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Dance mathematical model, Wavelet threshold denoising, Pose decomposition algorithm, Dance trajectory recognition algorithm, Multi inertial sensor, Dance monitoring system