一个多约束和多目标优化布局方法,用于矿井水冲进监测网络的矿井水冲进监测网络
Zhili Du1,2, Qiang Wu3,4, Yingwang Zhao3,4
1College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China. zhili_du20201122@163.com.
Scientific reports
|July 21, 2023
概括
一个新的矿井水冲入监测网络使用最佳传感器部署来改进预警系统. 这种方法大大缩短了响应时间,提高了矿山安全,防止了潜在的灾难.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 地质技术工程 地质技术工程
- 环境监测 环境监测
背景情况:
- 矿井水的涌入对安全和基础设施构成重大风险.
- 目前的矿井水冲入预测方法不足.
- 准确及时检测水冲入对于矿山安全至关重要.
研究的目的:
- 开发一个优化的矿井水冲入监测网络.
- 建立一个多重约束和多重目标的传感器最佳部署方法.
- 为了增强矿井水冲入事件的早期预警系统.
主要方法:
- 在矿山道路上网络部署水位传感器.
- 开发一个数学模型,对采矿区,风险水平和安装位置有限制.
- 应用非主导排序基因算法II (NSGA-II) 以优化传感器的位置,以最小的成本和监控时间.
- 监控网络的时间和空间优化.
主要成果:
- 一个矿井水冲入监测网络成功开发和验证.
- 优化的网络使用了28个水位传感器,平均响应时间为916秒.
- 响应时间随着水冲入风险水平的增加而减少.
- 在风险级别2,3和4下,反应时间分别为<3000s,<2100s和<900s.
结论:
- 开发的多约束,多目标优化方法有效地提高了矿井水在冲击早期预警系统.
- 优化的传感器网络提供了一种新且有效的解决方案,用于及时检测矿井水的冲动.
- 这种方法提高了安全性,并降低了与矿井水冲入事件相关的风险.
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