Analysis and construction of the coal and rock cutting state identification system in coal mine intelligent mining

作者：Meichen Zhang, Lijuan Zhao, Baisheng Shi · 发表于：Scientific Reports · 年份：2023 · DOI：10.1038/s41598-023-30617-9 · 被引用次数：25 · 研究领域：Mineral Processing and Grinding、Technology and Security Systems、Coal Properties and Utilization

The recognition of cutting state of coal-rock is the key technology to realize "unmanned" mining in coal face. In order to realized real-time perception and accurate judgment of coal-rock cutting state information, this paper combined the field test sampling, construction technology of complex coal seam, virtual prototype technology, bidirectional coupling technology, data processing theory, image fusion method, and deep learning theory to carry out multi domain deep fusion experimental research on multi-source heterogeneous data of coal and rock cutting state. The typical complex coal seam containing gangue, inclusion, and minor fault in Yangcun mine of Yanzhou mining area was taken as the engineering object. The high-precision three-dimensional simulation model of the complex coal seam that can update and replace particles was constructed. Based on the simulation results of Discrete Element Method-Multi Flexible Body Dynamics (DEM-MFBD), the one-dimensional original vibration acceleration signals of the key components of the shearer cutting part were determined, including spiral drum, rocker arm shell, and square head. After transforming one-dimensional original signal data into two-dimensional time-frequency images by Short-time Fourier Transform, morphological wavelet image fusion technology was used to realize the effective fusion of characteristic information of spiral drum, rocker arm shell, and square head under different working conditions. Based on the deep learning...