Version 1
: Received: 9 March 2023 / Approved: 9 March 2023 / Online: 9 March 2023 (11:38:36 CET)
How to cite:
Zuo, Y.; Cheng, H. High Precision Information Data Acquisition Method for Mobile Equipment Based on Fractional Partial Differential Equations. Preprints2023, 2023030177. https://doi.org/10.20944/preprints202303.0177.v1
Zuo, Y.; Cheng, H. High Precision Information Data Acquisition Method for Mobile Equipment Based on Fractional Partial Differential Equations. Preprints 2023, 2023030177. https://doi.org/10.20944/preprints202303.0177.v1
Zuo, Y.; Cheng, H. High Precision Information Data Acquisition Method for Mobile Equipment Based on Fractional Partial Differential Equations. Preprints2023, 2023030177. https://doi.org/10.20944/preprints202303.0177.v1
APA Style
Zuo, Y., & Cheng, H. (2023). High Precision Information Data Acquisition Method for Mobile Equipment Based on Fractional Partial Differential Equations. Preprints. https://doi.org/10.20944/preprints202303.0177.v1
Chicago/Turabian Style
Zuo, Y. and Hua Cheng. 2023 "High Precision Information Data Acquisition Method for Mobile Equipment Based on Fractional Partial Differential Equations" Preprints. https://doi.org/10.20944/preprints202303.0177.v1
Abstract
The information data accuracy affects the working reliability of production management system directly. Mobile equipment is an important part of integrated manufacturing system, in the course of its works, due to the complex working environment and the dynamic change of its position, it lead to the important problem of information detection distortion. Because the application of fractional differential operator has the dual functions of enhancing signal strength and reducing data error, we puts forward a data processing method of obtaining production information data of various accuracy by changing the parameters of fractional differential operator. Establish a mobile equipment detection data fusion processing model based on fractional order partial differential equations and apply it in the processing experiment of mobile equipment testing information detection data in an integrated manufacturing system, the feasibility and effectiveness of the method are verified. We conclude that the fractional order partial differential equations used in the processing of mobile equipment monitoring information data of an integrated manufacturing system has the function of obtaining production information data of various accuracy, which are of great significance to improve the working reliability in integrated manufacturing system. which is of great significance to improve the working reliability and scientific decision of integrated manufacturing system.
Keywords
Integrated Manufacturing; Mobile Equipment; Production Information; Data Accuracy; Fractional Partial Differential
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
