Prediction of the final strength of backfill based on multiple prediction models optimization
The compressive strength of filling materials is of great significance for the safety production of underground mines.In order to accurately determine the final strength of filling materials,multiple prediction models are used to optimize and predict the final strength of filling materials.Based on the early statistical values of compressive strength of filling materials,multiple prediction models that conform to the development trend curve of compressive strength of filling materials are used to simulate the early statistical values of compressive strength of filling materials.The prediction model with the highest simulation accuracy is selected to accurately predict the final strength of filling materials,and targeted reinforcement measures are taken based on the final strength prediction results to improve the safety and reliability of underground filling in mines.Example proof:Based on the statistical values of compressive strength in the early 7 days of a certain underground mine,the GM(1,1)model,differential verhulst model,and differential verhulst model were used to compare the accuracy of simulation values.The differential verhulst model was used to optimize 7 mining sites,and the differential verhulst model was used to predict the final strength of 1 mining site.Targeted reinforcement measures were taken for each mining site according to the prediction results,effectively ensuring the safety of underground production operations.