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相关概念视频

Gradually Varying Flow01:29

Gradually Varying Flow

32
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
32
Rapidly Varying Flow01:24

Rapidly Varying Flow

48
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
48
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

120
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
120
Underflow Gates01:30

Underflow Gates

37
Underflow gates are vital for controlling water flow in irrigation canals. The three main types of underflow gates — vertical, radial, and drum gates — serve different purposes while ensuring effective flow management. Vertical gates move up and down, generating a free-flowing water jet; radial gates pivot to regulate the flow; and drum gates rotate for precise adjustments. The flow through these gates is influenced by downstream conditions, resulting in free or drowned outflow.Free and...
37
Typical Model Studies01:30

Typical Model Studies

319
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
319
Modeling and Similitude01:12

Modeling and Similitude

231
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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相关实验视频

Updated: May 29, 2025

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采矿水流入预测模型基于变化模式分解和由改进的黑猩猩优化算法优化的封闭循环单位.

Juntao Chen1,2, Mingjin Fan3

  • 1College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

Scientific reports
|February 5, 2025
PubMed
概括

准确的矿井水预测对于安全至关重要. 新型VMD-iCHOA-GRU模型显著提高了预测准确性,超过了预测矿山水流入现有方法.

关键词:
有门的经常性单位.改进了黑猩猩优化算法.变化模式分解的变化模式分解水损伤事故 水损伤事故

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科学领域:

  • 采矿工程 采矿工程 采矿工程
  • 水资源管理 水资源管理
  • 人工智能的人工智能

背景情况:

  • 在中国的矿山中经常发生水损失事故,这对煤炭资源的开采构成风险.
  • 准确预测入水对于安全高效的采矿操作至关重要.

研究的目的:

  • 为了提高矿井水流入预测的准确性.
  • 引入一个完善的模型,集成分解,时间序列预测和优化技术.

主要方法:

  • 提出了变化模式分解改进的混沌灰狼优化器带有门的反复单元 (VMD-iCHOA-GRU) 模型.
  • 使用平均绝对误差 (MAE),根平均平方误差 (RMSE),平均绝对百分比误差 (MAPE) 和R平方 (R2) 进行评估.
  • 将VMD-iCHOA-GRU与VMD-GRU,iCHOA-GRU,CHOA-GRU和GRU模型进行比较.

主要成果:

  • VMD-iCHOA-GRU模型在预测水流入趋势方面表现出卓越的表现.
  • 获得的评价指数值为0.00862 (MAE),0.01059 (RMSE),0.02189% (MAPE) 和0.87079 (R2).这些指数值均为0.00862 (MAE),0.01059 (RMSE),0.02189% (MAPE) 和0.87079 (R2).
  • 显示最小的MAE,RMSE,MAPE和最大的R2,表示最高的预测准确度.

结论:

  • VMD-iCHOA-GRU模型为矿井水流入提供了最好的预测效果.
  • 与传统方法相比,这种先进的模型显著提高了预测准确度.
  • 这些发现支持采用VMD-iCHOA-GRU以提高矿山安全和运营效率.