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相关概念视频

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The universe is composed of matter in different forms, and all forms of matter contain energy.  The different forms of energy on Earth originate from the Sun — the ultimate energy source. Plants capture light energy from the Sun, and, via the process of photosynthesis, convert it into chemical energy. This stored energy from plants can be harnessed in many ways. For example, eating plant products as food provides energy for our body to function, and burning wood or coal (fossilized...
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Free energy—abbreviated as G for the scientist Gibbs who discovered it—is a measurement of useful energy that can be extracted from a reaction to do work. It is the energy in a chemical reaction that is available after entropy is accounted for. Reactions that take in energy are considered endergonic and reactions that release energy are exergonic. Plants carry out endergonic reactions by taking in sunlight and carbon dioxide to produce glucose and oxygen. Animals, in turn, break...
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Chemical reactions, such as those that occur when you light a match, involve changes in energy as well as matter.
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The total of all possible kinds of energy present in a substance is called the internal energy (U), sometimes symbolized as E. Suppose a system with initial internal energy, Uinitial, undergoes a change in energy (transfer of work or heat), and the final internal energy of the system is Ufinal. Change in internal energy equals the difference between Ufinal and Uinitial.
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Updated: Jan 29, 2026

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在无人机辅助移动监控中集成频率空间特征以实现节能高效的OPGW目标识别.

Lin Huang1,2, Xubin Ren3, Daiming Qu1

  • 1School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

一个新的轻量级AI模型,OPGW-DETR,在无人机检查期间准确地识别光纤复合物上空接地线 (OPGW) 电缆. 这样可以确保可靠的电网监控,同时能耗最小.

关键词:
无人机图像 无人机图像频率 空间融合 频率电力输电线路输电线路的电力输电线路.小物体检测 小物体检测

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科学领域:

  • 电气工程 电气工程
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 光纤复合物上空接地线 (OPGW) 电缆对于电力系统的防雷和实时电网监控通信至关重要.
  • 在无人机 (UAV) 检查期间准确识别OPGW对于防止服务中断和维护功能至关重要.
  • 由于计算和能源限制,在视觉上类似的线缆中检测OPGW对低功耗,基于边缘的无人机平台提出了挑战.

研究的目的:

  • 开发一种轻量级和节能的人工智能模型,用于在基于边缘的无人机平台上准确检测OPGW.
  • 解决无人机在电池寿命和带宽方面的局限性,以实现连续的实时检测.
  • 通过减轻与OPGW错误识别相关的风险,提高电网监控的可靠性.

主要方法:

  • 提出OPGW-DETR,基于D-FINE框架的轻量级物体检测模型,优化用于低功率无人机操作.
  • 引入了多尺度卷积全球平均聚合 (MC-GAP) 来融合多尺度空间特征和光谱动机特征.
  • 实施混合门机制,以动态平衡全球和空间特征,同时通过剩余连接保存信息.

主要成果:

  • 与基线相比,S级OPGW-DETR模型显示平均精度 (AP) 提高了3.9%,AP50提高了2.5%.
  • 该模型允许实时推断,以最小的能源消耗,解决无人机功率和带宽限制.
  • 实现了对低功率无人机检查场景至关重要的持续检测能力.

结论:

  • 在资源有限的无人机检查环境中,OPGW-DETR为准确的OPGW识别提供了可行的解决方案.
  • 改进的检测精度提高了通信可靠性,并通过减少错误识别风险来保护电网.
  • 实现不间断的电网监控,确保关键基础设施管理中的通信完整性.