Abstract
Aiming at the current situation of coal mine safety in China is still severe and the efficiency of supervision needs to be improved, a three-level networking platform for coal mine safety supervision based on big data has been designed and implemented. The platform adopts a hierarchical architecture design method, formulates and complies with data exchange standards and specifications, builds a three-level network of coal mines, districts, counties and regions, and realizes the effective integration of multiple coal mine heterogeneous system data sources. At the same time, we use the non-spatial attribute spatial clustering method and big data analysis method to mine coal mine safety information. The use of simulated data and actual data to verify that the spatial clustering method of non-spatial attributes can find the spatial clusters of arbitrary shape and density change of the QR code, and can well identify the noise points of the coal mine safety information system based on the QR code.
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