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

<p>This article proposes a software fusion processing method for multi-sensor monitoring the Internet of Things based on the fractional differential filtering algorithm. The purpose is to solve the difference between the detection data caused by the difference in each production information sampling node’s equipment performance and working environment. The article applies the above algorithm to the remote detection data fusion processing experiment of the discrete manufacturing system of the Internet of Things. The research found that the algorithm realizes the remote high-precision measurement of the Internet of Things sensor information. The fractional integral operator has high fusion accuracy in remote detection data fusion processing.</p>
</abstract>

This article proposes a software fusion processing method for multi-sensor monitoring the Internet of Things based on the fractional differential filtering algorithm. The purpose is to solve the difference between the detection data caused by the difference in each production information sampling node’s equipment performance and working environment. The article applies the above algorithm to the remote detection data fusion processing experiment of the discrete manufacturing system of the Internet of Things. The research found that the algorithm realizes the remote high-precision measurement of the Internet of Things sensor information. The fractional integral operator has high fusion accuracy in remote detection data fusion processing.

Fractional Differential Equations in the Standard Construction Model of the Educational Application of the Internet of Things

Applied Mathematics and Nonlinear Sciences

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

This article proposes a software fusion processing method for multi-sensor monitoring the Internet of Things based on the fractional differential filtering...

Fractional Differential Equations in the Standard Construction Model of the Educational Application of the Internet of Things

Publié en ligne: 15 juil. 2022

Pages: 527 - 534

Reçu: 09 févr. 2022

Accepté: 31 mars 2022

DOI: https://doi.org/10.2478/amns.2022.2.0037

Mots clés
Integral discrete guidance, Fractional differential equations, Internet of things, Differentiated data fusion, Modeling

© 2023 Fen Wang et al., published by Sciendo

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

Fractional Differential Equations in the Standard Construction Model of the Educational Application of the Internet of Things

Publié en ligne: 15 juil. 2022

Pages: 527 - 534

Reçu: 09 févr. 2022

Accepté: 31 mars 2022

DOI: https://doi.org/10.2478/amns.2022.2.0037

Mots clésIntegral discrete guidance, Fractional differential equations, Internet of things, Differentiated data fusion, Modeling

© 2023 Fen Wang et al., published by Sciendo

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

Mots clés
Integral discrete guidance, Fractional differential equations, Internet of things, Differentiated data fusion, Modeling