Journal of Applied Science and Engineering

Published by Tamkang University Press

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The Role of Analog-to-Digital Converter Based Mechanical Data Acquisition for Mineral Geological Exploration

 2026

 Volume 34

Zhongxiao Wei

Hebi Automobile Engineering Professional College, Hebi 458030, China

Received: July 08, 2026
Accepted: July 29, 2026
Publication Date: August 05, 2026

上傳圖片

Hardware transmission system for WSNs with multimode multiplexing

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Mineral geological exploration requires mechanical data to be collected and analyzed. To process these data effectively, the mechanical data acquisition method based on analog-to-digital converter is adopted in the experiment and optimized. In the experiment, integrated empirical modal decomposition is used for noise reduction processing of data signals, and convolutional neural network is used for feature identification and classification processing of data. After performance validation, for the Analog-to-digital Converter (ADC) based mechanical data acquisition method, the amplitude error between the standard signal and the test signal is between 0.7% and 3.1%, and the frequency error is from 0.05% to 0.30%. After optimization, the proposed method has the lowest final loss value of 0.075. it has the highest accuracy of 99.2%. Also, the proposed method has the lowest Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) values among all models with 0.38% and 0.094% respectively. In conclusion, the proposed method can effectively process the mechanical acquisition data in mineral geological exploration, which is favorable to the application of ADC-based mechanical data acquisition method in mineral geological exploration

Keywords: ADC; Data acquisition; Geological exploration; Wireless Sensor Networks; Ensemble Empirical Mode Decomposition; Convolutional Neural Networks; Mineral products

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