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Author: Admin | 2025-04-28
Residual subsidence time series model of underground mining in mountainous areas in the inversion parameter phase, the dynamic prediction phase and the measured values are shown in Table 5.Table 5 Accuracy evaluation of time series model of residual subsidence in underground mining in mountainous areasFull size tableFrom the Table 5, it can be seen that the average error of the residual subsidence prediction results of the four monitoring station observation data based on the residual subsidence time series model of underground mining in mountainous areas established in this paper is small in the inversion parameter phase and the dynamic prediction phase. The maximum average error in the inversion parameter phase is 5.3 mm, and the minimum average error is 2.0 mm; in the dynamic prediction phase, the maximum average error is 4.3 mm and the minimum average error is 0.1 mm. In addition, the maximum error of the predicted value in the inversion parameter phase is 6.5 mm, and the minimum value is 2.3 mm; in the prediction dynamic phase, the maximum error is 4.6 mm, and the minimum is 0.2 mm.In addition, it can be seen from Tables 2 and 5 that the larger the ratio of the inversion parameter period to the dynamic prediction stage of the residual subsidence prediction process, the higher the prediction accuracy of the residual subsidence. On the contrary, the smaller the ratio is, the lower the prediction accuracy of residual subsidence is.It shows that the time series model of residual subsidence in underground
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