Version 1
: Received: 3 March 2023 / Approved: 3 March 2023 / Online: 3 March 2023 (08:37:27 CET)
How to cite:
Zuo, Y.; Cheng, H.; Fang, J. High Accuracy Remote Data Detection Method for Underground Space Information Based on Fractional-order Differential Algorithm. Preprints2023, 2023030062. https://doi.org/10.20944/preprints202303.0062.v1
Zuo, Y.; Cheng, H.; Fang, J. High Accuracy Remote Data Detection Method for Underground Space Information Based on Fractional-order Differential Algorithm. Preprints 2023, 2023030062. https://doi.org/10.20944/preprints202303.0062.v1
Zuo, Y.; Cheng, H.; Fang, J. High Accuracy Remote Data Detection Method for Underground Space Information Based on Fractional-order Differential Algorithm. Preprints2023, 2023030062. https://doi.org/10.20944/preprints202303.0062.v1
APA Style
Zuo, Y., Cheng, H., & Fang, J. (2023). High Accuracy Remote Data Detection Method for Underground Space Information Based on Fractional-order Differential Algorithm. Preprints. https://doi.org/10.20944/preprints202303.0062.v1
Chicago/Turabian Style
Zuo, Y., Hua Cheng and Jigen Fang. 2023 "High Accuracy Remote Data Detection Method for Underground Space Information Based on Fractional-order Differential Algorithm" Preprints. https://doi.org/10.20944/preprints202303.0062.v1
Abstract
The quality of underground space information has become a major problem that endangers the safety of underground spaces. Currently, the main methods for the high-precision and long-distance transmission of detection information are radar and optical methods. However, in practical applications, we found that the radar method has the shortcomings of large energy loss and poor anti-jamming ability, which limit the accuracy of information data transmission and distance. The optical method has the shortcomings that the weather has a great impact on its accuracy and can only be applied to static objects above ground; therefore, it has the limitation of application objects and use environment. More importantly, the current high-precision information remote detection methods are limited to the detection of overground space objects and are not applicable to the detection of various information data in underground space. In this study, we analyze the spectral properties of the fractional differential operator and find that it is suitable for studying non-linear, non-causal, and non-stationary signals. The theory of fractional calculus is applied to the field of data processing, and a mathematical model of remote transmission and high-precision detection of information based on fractional difference is established, which realizes the functions of high-precision and remote detection of information. By fusing the information data to detect the mathematical model over a long distance and with high accuracy, a mathematical model for stratum data processing used to provide long-distance and high-accuracy data was established. Through application in engineering practice, the effectiveness of this method for underground space information data detection was verified.
Keywords
Underground space, information detection, fractional differentiation, high accuracy remote data
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.
