Research on High-quality Information Data Detection Technology of Underground Spatial Information Data Based on FODO

Introduction: The development of underground space has been highly valued by all walks of life. However, in the process of construction and utilization of underground space, the quality of information data is directly related to the quality of the underground space project and the safety of life and property during the construction process. Methods: In the detection of information data in underground spaces, it is necessary to go through two stages: onsite acquisition and long-distance transmission. In the information data acquisition stage, owing to the complex and changeable working environment, the accuracy of information data is affected by multiple factors, such as temperature and humidity at the work site, which results in unpredictable measurement errors of information data. In the information data transmission stage, the underground space is characterized by a "deep, large, clustered, and hidden" distance from the information data processing center. Information data detection needs to be transmitted to the ground information data processing center over a long distance, and the information data will have a large signal distortion due to signal interference, energy loss, and other factors in long-distance transmission. Therefore, obtaining accurate information on underground spaces has become a problem that needs to be solved urgently in the process of underground space construction and utilization. In engineering practice, the information detection system is based on the work required to set the signal-to-noise ratio, resolution, accuracy, and other information data quality standards. Information qualityrefers to the quality of the data obtained. The quality of the information detection system, in turn,determines the degree of congruence between the obtained information';s quality and the target';s actual quality. The detection method for underground space information data and ground information data is similar, but it fails to fully consider the characteristics of underground space information data and the shortcomings of not having the ability to adapt to the different requirements of the working system. Results: In this paper, on the basis of the previous research, according to the spectral characteristics of the Fractional-Order Differential Operator (FODO), the mathematical models based on Fractional-Order Differential Equations (FODE) of remote transmission of information data and high-precision detection are established. The high-precision and remote detection functions of information data are realized, respectively. Through the fusion of the two mathematical models, another mathematical model for the long-distance and high-precision detection of information data was established to reduce the measurement error of information data in the process of collection, the distortion of information in the process of transmission, and the detection technology that can obtain high-quality information data in an underground space was explored. Most of the coal mine working face is at a depth of several hundred meters underground. The distance from the production control center is as far as several kilometers, which is a typical underground space. Owing to the complex and changeable working environment, the production information is subject to various influencing factors in the measurement process to produce unpredictable measurement errors. Discussion: The research findings in this paper can be applied to different types of underground space information data detection and have general applicability across various fields. However, it is limited to measuring information data influenced by a single factor within underground spaces. In practical engineering applications, underground spaces often involve multiple detection information affected by several factors simultaneously. Although these influencing factors are independent of each other, due to the combined effects of multiple influencing factors, the measured values of the information data may exhibit unpredictable measurement errors. Conclusion: This study verifies the validity of the research results by testing the gas concentration in a coal mine working face 500 meters underground and approximately 2 km from the inlet. The test proves that FODO has the advantage of improving the quality of information data. By setting the quality of the gas concentration data required by the detection system, high-quality information data with established quality requirements can be obtained by adjusting parameters v and h in the FODE. The effectiveness of the proposed method was proved.