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

<p>In order to further reduce the errors arising in synchronous sampling, this paper designs a multi-channel hybrid sampling electrical parametric feature modeling method based on an AIOT sensing module in the process of design. The AIOT sensing module is used to process the received RF signals using a transconductance amplifier to improve the digitization and reconfigurability of the RF front-end circuit. The signal is transformed and calculated using the Fast Fourier Transform to obtain electrical parameters such as the amplitude of each harmonic and the power factor. The results show that the variation amplitude of the window function of the design method in this paper is generally maintained between -1.5 and 1.5, the amplitude accuracy of the active power rate is within 3.17555%, and the relative error accuracy is within 0.000951%. It can be seen that the AIOT-based sensing module can significantly improve the calculation accuracy of electrical parameters and can be applied to the process of sampling digital measurements of other power signal characteristics.</p>
</abstract>

In order to further reduce the errors arising in synchronous sampling, this paper designs a multi-channel hybrid sampling electrical parametric feature modeling method based on an AIOT sensing module in the process of design. The AIOT sensing module is used to process the received RF signals using a transconductance amplifier to improve the digitization and reconfigurability of the RF front-end circuit. The signal is transformed and calculated using the Fast Fourier Transform to obtain electrical parameters such as the amplitude of each harmonic and the power factor. The results show that the variation amplitude of the window function of the design method in this paper is generally maintained between -1.5 and 1.5, the amplitude accuracy of the active power rate is within 3.17555%, and the relative error accuracy is within 0.000951%. It can be seen that the AIOT-based sensing module can significantly improve the calculation accuracy of electrical parameters and can be applied to the process of sampling digital measurements of other power signal characteristics.

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Applied Mathematics and Nonlinear Sciences

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

In order to further reduce the errors arising in synchronous sampling, this paper designs a multi-channel hybrid sampling electrical parametric feature...

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Online veröffentlicht: 25. Nov. 2023

Seitenbereich: -

Eingereicht: 01. März 2023

Akzeptiert: 05. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01243

Schlüsselwörter
AIOT sensing, Sampled electrical parameters, Fourier transform, Harmonic amplitude, Window function

© 2023 Congcong Li et al., published by Sciendo

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

Modeling Method of Multiplexed Sampling Electrical Parameter Characteristics Based on AIOT Sensing Module

Online veröffentlicht: 25. Nov. 2023

Seitenbereich: -

Eingereicht: 01. März 2023

Akzeptiert: 05. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01243

SchlüsselwörterAIOT sensing, Sampled electrical parameters, Fourier transform, Harmonic amplitude, Window function

© 2023 Congcong Li et al., published by Sciendo

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

Schlüsselwörter
AIOT sensing, Sampled electrical parameters, Fourier transform, Harmonic amplitude, Window function