矿山生产过程的时变计算实验及其精准过程控制方法基础
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作者单位:

1.榆林学院 信息工程学院;2.洛阳栾川钼业集团有限公司

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中图分类号:

TP1

基金项目:

国家自然科学基金项目


Time Varying Computation Experiment of Mine Production Process and the Basis of Precise Process Control Method
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Yulin University

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    摘要:

    在复杂多变的矿山开采环境下,计划难以执行问题突出,如执行过程中发现生产计划方案不可行或工序流程欠合理,未在预警下的突发事件频繁,生产执行结果尚未达到预期效果等,是长期以来矿山企业面临的关键困难之一。因此,提出“先时变计算实验再精准过程执行”的智能开采新范式。首先根据基本需求初始化生产计划方案或工序流程;其次,对计划方案进行时变计算实验,即借助多代理方法构建基于计算机的人工系统,利用各简单代理自主推演和基于订阅感知的多代理互动涌现进行计算实验或试验,评估方案的合理性和可靠性,预测生产现场可能发生的突发状况,包括人员、设备、环境的属性状态和整体系统的经济、空间及安全状态,根据实验结果调整方案后再次实验,直到具有稳定的预期结果为止;最后,以优化后的最优方案和工序流程进行现场执行,同时对执行过程进行实时感知、仿真及纠正,实现按计划控制。在物联网数据驱动下,这种低成本、高效率、零风险和快速度的事前预演手段及精准过程控制方法,对于辅助计划制定及安全高效生产意义重大。

    Abstract:

    In the complex and changeable mining environment, it is difficult to implement the plan. For example, during the implementation process, it is found that the production plan is not feasible or the process flow is not reasonable, the unexpected events that are not under early warning occur frequently, and the production implementation results have not reached the expected effect, etc., which is one of the key difficulties faced by mining enterprises for a long time.Therefore, a new intelligent mining paradigm of "First virtual experiment then precise implementation" is proposed.Firstly, initialize the production plan or process flow according to the basic needs; Secondly, the time-varying computation experiment is carried out for the plan scheme.That is to build a computer-based artificial system with multi-agent method. The computing experiments is carried out,with the independent deduction of each simple agent and the emergence of multi-agent interaction based on subscription awareness. So as to evaluate the rationality and reliability of the scheme and predict the possible emergency situation. According to the experimental results, the scheme is adjusted and the experiments are carried out again until the expected results are stable.Finally, the optimized scheme and process flow are used for on-site execution. At the same time, the real-time perception, simulation and correction of the execution process are carried out to achieve the planned control. So as to realize process control according to plan.Driven by the Internet of things data, this low-cost, high-efficiency, zero risk and fast-speed preview method and precise process control method are of great significance for auxiliary planning and safe-efficient production.

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历史
  • 收稿日期:2020-08-20
  • 最后修改日期:2021-02-17
  • 录用日期:2021-03-03
  • 在线发布日期: 2021-04-01
  • 出版日期: