Abstract:
To address the challenges of intelligent analysis and precise decision-making in the process of intelligent mining in coal mining faces, By leveraging the Hadoop big data platform, integrates analysis and decision-making technologies, machine learning methods, and distributed storage architectures, and designs and implements a set of intelligent mining face planning systems for coal mines that integrate data collection, storage, processing, and analysis.This system achieves full lifecycle management of data such as mine pressure, gas, and equipment status through a multi-layer data architecture.Specifically, the data collection layer uses underground sensor networks, Sqoop, Flume, and Kafka components to achieve real-time collection and transmission of multi-source heterogeneous data; the data storage and processing layer uses distributed technologies such as HDFS and HBase to achieve classified storage and efficient processing of structured, semi-structured, and unstructured data, and uses MapReduce and Spark frameworks to complete data cleaning and aggregation; the decision planning layer combines principal component analysis to reduce the dimensionality of high-dimensional data, selects key indicators such as mine pressure, gas, and equipment status, and based on the K-Means clustering algorithm divides the data into clusters with different characteristics, further processes the clustering results through the CART decision tree model to precisely identify the key factors affecting the safety of the mining face, processes continuous and discrete monitoring data, and realizes real-time monitoring and early warning of the safety status of the intelligent mining face.During the experiment, the accuracy of the model test set reached 92.3% and the
F1 score was 0.91, demonstrating high reliability and practicality.Finally, the system builds a closed-loop intelligent planning system covering perception, analysis, and decision-making through multi-source information fusion and dynamic iterative optimization mechanisms, providing reliable technical support for the safe and efficient production of coal mines.