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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

36
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
36
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

21
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
21
Manipulation and Analysis01:21

Manipulation and Analysis

18
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
18
Levels of Use of a GIS01:29

Levels of Use of a GIS

41
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
41
Survey Safety01:28

Survey Safety

25
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
25
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

30
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
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地下矿山中的地缘危险识别:一个移动应用程序

Pedro Lopez1, Nathalie Risso1, Angelina Anani1

  • 1Department of Mining and Geological Engineering, University of Arizona, Tucson, AZ 8572, USA.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括

一个新的移动应用程序,HUMApp,使用人工智能来检测地下矿山中危险的屋顶倒塌,提高安全性. 这种危险识别工具达到90%的准确性,有助于采矿业务的积极风险管理.

科学领域:

  • 地质技术工程 地质技术工程
  • 采矿领域的人工智能

背景情况:

  • 矿业存在重大地质技术危险,对工人的安全构成风险.
  • 有效的危险识别对于减轻地下采矿环境中的风险至关重要.

研究的目的:

  • 引入地下矿山危险识别应用程序 (HUMApp),以提高矿山安全.
  • 开发一个移动应用程序,有效地识别地质技术危险,特别是屋顶塌.

主要方法:

  • 开发一个使用卷积神经网络 (CNN) 的移动应用程序 (HUMApp).
  • 数据集准备,CNN模型培训和严格的绩效评估.
  • 用于危险识别的专家评估对应用程序的验证.

主要成果:

  • 在检测地质技术危险方面,HUMApp实现了90%的准确性.
  • 回忆和F1得分也达到了90%,表明了高可靠性.
  • 在HUMApp的评估和专家评估之间发现了显著的一致性.

结论:

  • 在识别关键的地质技术危险方面,HUMApp表现出高可靠性和有效性.
  • 该应用程序提供了一个可扩展的解决方案,用于在各种地下采矿环境中主动进行风险管理.
关键词:
深度学习是一种深度学习.矿山安全 矿山安全基于视觉检测的检测

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  • HUMApp有可能在采矿行业内显著提高安全协议.