DOI: 10.11799/ce202409019
Prediction of periodic weighting based on POI ConvLSTM model
YIN Chunlei
Abstract：Aiming at solving the technical difficulties in predicting the periodic weighting of fully mechanized mining face,theoretical analysis,data acquisition and pre-processing,model evaluation and optimization are studied,and the ConvLSTM model with spatio-temporal correlation analysis and POI(Point of Intersesting)data is proposed.Based on multi-source data consolidation,the optimal solution for periodic weighting prediction is obtained and real-time sensing and prediction of working face environment is realized.The test results show that the mean square error based on POI ConvLSTM model for working face periodic weighting is 0.159,and R2 evaluation index is 0.999.Compared with the Seq2Seq and ConvLSTM models,the mean square error is reduced by 68.07%and 4.22%,respectively.Therefore,the POI ConvLSTM model with multiple data has more precise prediction and universality,which will accurately predict periodic pressure in advance.
Keywords：POIConvLSTMperiodic weightingspatiotemporal correlation
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 121-126 )