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相关概念视频

Flat Belts: Problem Solving01:28

Flat Belts: Problem Solving

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Flat belts are crucial in many industrial applications as they help transmit power from one pulley to another. The concept of forces and moments is used to determine the maximum moment on a pulley. For instance, consider a flat belt that wraps around two pulleys, A and B, with radii of 30 cm and 10 cm, respectively. The angle between the belt and the horizontal is 20 degrees at the pulleys. As pulley B rotates clockwise and drives pulley A, tension T2 is caused at one end of the belt, while...
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Flat belts are commonly used in various industrial applications for transmitting power from one pulley to another. When a flat belt is wrapped around a set of pulleys, it experiences different tensions at the driving pulley ends due to the friction between the belt and pulley surface. When the pulley moves in a counterclockwise direction, the tension T2 on the opposite side of the pulley where the belt is moving away from is higher than the tension T1 on the side where the belt is moving...
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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Understanding the calculations and concepts related to double-collar bearings is essential for engineers and designers to optimize the performance of these components in various applications. By analyzing the bearing under different conditions, one can ensure that it can withstand the forces and moments experienced during operation. This knowledge enables better decision-making when designing and selecting bearings for specific purposes and configurations. Consider a double-collar bearing with...
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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
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相关实验视频

Updated: Feb 28, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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基于GSSA-YOLOM的外来物体和输送带偏差检测.

Zuguo Chen1,2,3, Jiayu Liu2, Yimin Zhou4

  • 1Sanya Institute of Hunan University of Science and Technology, Sanya 572024, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

一个新的GSSA-YOLOM算法通过检测异物和带偏差来提高煤矿中带式输送机的安全性. 这种人工智能模型提高了检测准确度,同时减少了可靠监控的计算负载.

关键词:
皮带偏差检测系统检测皮带偏差输送带输送机 输送带输送机检测外来物体检测外来物体检测多任务学习是多任务学习.

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科学领域:

  • 工业安全 工业安全 工业安全
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 带式输送机的安全性在煤矿开采中至关重要.
  • 当前的监控系统在同时检测多个问题时可能面临挑战.

研究的目的:

  • 为带式输送机状态监控提出了一种新的多任务算法.
  • 为了提高对外物体和皮带偏差的检测.

主要方法:

  • 开发了一个GSSA-YOLOM算法,集成了用于多任务检测的细分头.
  • 用于多尺度特征融合的非对称特征金字塔网络 (AFPN).
  • 为了实现架构简化,采用了分组可分离的卷积 (GSConv) 和SlideLoss/Soft-NMS,以提高检测准确度.

主要成果:

  • 与基线相比,GSSA-YOLOM模型在50%IoU (mAP@50) 的平均精度提高了3.4%.
  • 将模型参数数量减少了27%,表明了计算效率.
  • 证明有效检测异物和带偏差.

结论:

  • GSSA-YOLOM算法为煤矿安全监控提供了一个强大的解决方案.
  • 该模型平衡了检测精度与减少计算复杂性的平衡,适用于边缘设备.
  • 这种方法满足了关键的煤矿安全监测要求.