Paper
23 August 2023 Design of electrical resistivity monitoring instrument collection system in coal mine
Bingchun Wang
Author Affiliations +
Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127841Z (2023) https://doi.org/10.1117/12.2692875
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
Electrical resistivity monitoring method is an important means for potential risk exploring, monitoring, and early warning of water hazards in coal mines, as well as a key source of data for mine safety, production intelligence, and geological information transparency. However, in the special working conditions of coal mines where explosive gases may accumulate, the energy of the artificial source for electrical resistivity monitoring is strictly limited, and the response signal is subject to interference from high-power electrical equipment underground. Therefore, in the process of electrical monitoring in coal mines, the design of the collection circuit of monitoring instruments has a critical impact on the high-precision imaging of resistivity inversion. The article introduced a coal mine intrinsic safety electrical monitoring instrument collection system based on the STM32 main control chip and the 32-bit low-noise analog-to-digital converter chip ADS1262, and provide a detailed description of its data acquisition channel design and test results. Through testing and physical simulation experiments in a water tank, it was verified that it has a strong ability to suppress power frequency interference and random interference, and can obtain reliable and effective data in the limited observation space and strong interference conditions in coal mines, thereby improving the imaging resolution of the spatial position and distribution range of anomalous bodies in the inversion results. This provides effective technical support for achieving high-precision imaging of anomalous body resistivity under the disturbance of coal mining process and promoting the development of electrical resistivity monitoring method in the field of coal mine water hazard prevention technology.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bingchun Wang "Design of electrical resistivity monitoring instrument collection system in coal mine", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127841Z (23 August 2023); https://doi.org/10.1117/12.2692875
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KEYWORDS
Data acquisition

Tunable filters

Signal filtering

Mining

Design and modelling

Equipment

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