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基于多种预测模型优选的充填体终了强度预测

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充填体抗压强度对于地下矿山安全生产具有非常的意义,为了准确判定充填体终了强度,采用多种预测模型对充填体终了强度进行优选预测:根据充填体抗压强度早期统计值,利用符合充填体抗压强度发展趋势曲线的多种预测模型对充填体早期强度统计值进行模拟,优选出模拟精度最高的预测模型对充填体终了强度进行准确预测,并根据终了强度预测结果采取有针对性的补强措施以提高矿山井下充填的安全可靠性.实例证明:某地下矿山的8个充填采场,根据其早期7d的抗压强度统计值,采用GM(1,1)模型、微分verhulst模型及差分verhulst模型进行模拟值精度对比,对7个采场优选采用微分verhulst模型、对1个采场优选采用差分verhulst模型进行终了强度预测,并根据预测结果对各采场采取有针对性的补强措施,有效保证了矿山井下生产作业安全.
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.

FillingStrengthPrediction

范生武、范生奎

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金诚信矿业管理股份有限公司,北京 101500

湖北宜化集团有限公司,湖北 宜昌 443000

充填 强度 预测

2024

世界有色金属
有色金属技术经济研究院

世界有色金属

影响因子:0.138
ISSN:1002-5065
年,卷(期):2024.(6)
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