一种基于强度演化与温度耦合的分层自适应充填控制方法

By introducing a hierarchical adaptive filling control method with equivalent age and depth Q network, the problems of uneven intensity distribution and control lag in mine filling are solved, and the precise control and adaptive adjustment of the filling body are realized, thereby improving the stability of the filling structure.

CN122131615BActive Publication Date: 2026-07-17SHANDONG GOLD MINING TECHNOLOGY CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG GOLD MINING TECHNOLOGY CO LTD
Filing Date
2026-05-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing mine backfill control methods are difficult to accurately control the strength distribution of backfill bodies when facing deep and complex geological conditions. In particular, they neglect the influence of temperature field on hydration reaction and the nonlinear law of strength evolution, resulting in unbalanced backfill structure and control lag.

Method used

A layered adaptive filling control method based on strength evolution and temperature coupling is adopted. By using discrete time control and the concept of equivalent age, combined with real-time data acquisition from temperature sensors, a composite state vector is constructed. A deep Q-network is used for multi-step look-ahead optimization to achieve precise control and adaptive adjustment of the layered strength of the filling body.

Benefits of technology

It achieves an overall improvement in the stability of the filling structure, dynamically balances the strength development relationship between the poured layer and the layer to be poured, and solves the control lag and imbalance problems caused by ignoring the nonlinearity of strength evolution and the influence of temperature field in traditional control methods.

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Abstract

本发明公开了一种基于强度演化与温度耦合的分层自适应充填控制方法,涉及矿山控制领域。该方法以固定控制周期执行,每个周期采集各充填层的当前温度并更新等效龄期,基于等效龄期向量、温度偏差向量和上一步控制输入向量构建复合状态向量;然后以深度Q网络预测未来强度达标程度,构建包含强度跟踪误差、控制增量惩罚和Q函数项的优化模型并求解,得到当前控制步的水泥掺量、水胶比及浆体浓度并执行;最后存储经验数据并周期性更新深度Q网络。本发明通过等效龄期将控制周期与强度响应时间尺度解耦,利用可测温度实现软测量,结合模型预测与强化学习处理大滞后连续控制问题,实现了充填体分层强度的精准自适应控制。
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