Research on High-precision Detection Technology for Un-derground Space Information Data
Zuo Yanhong, Zhou Chao, Xia Shilong, Yang kun

TL;DR
This paper develops a novel mathematical model for high-precision remote detection of underground space information data, addressing limitations of existing overground detection methods and improving underground data quality.
Contribution
It introduces a new spectral analysis of fractional-order differential operators and establishes a mathematical model for accurate underground data detection.
Findings
Model effectively detects underground information data remotely
Improves accuracy and quality of underground space data
Validated through engineering application
Abstract
The quality of underground space information data has become a major problem endangering the safety of underground space. After research and analysis, we found that the current high accuracy information data remote detection methods are limited to the detection of overground spaces objects, and are not applicable to the detection of various information data in underground space. In this paper, we analyze the spectral properties of the fractional-order differential (FDO) operator, and establish mathematical model of remote transmission and high-precision detection of information data, which realizes the functions of high-precision and remote detection of information data. By fusing the information data to detect the mathematical model in a long distance and with high accuracy, A mathematical model has been established to improve the quality of underground spatial information data.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Research in Science and Engineering · Advanced Measurement and Detection Methods
