相关实验视频
Updated: Jul 1, 2025

08:20
In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
6.2K
在地下公用事业工程中立即细分和安装挖掘
IEEE transactions on visualization and computer graphics
|March 4, 2024
概括
本研究引入了一种自动化方法,以提高地下公用事业工程 (SUE) 数据的准确性. 这种新的方法使挖掘测量与现有的SUE数据库保持一致,实时纠正按计划建造的文档.
科学领域:
- 地理学工程 工程地质学
- 土木工程 土木工程是指土木工程.
- 计算机视觉 计算机视觉
背景情况:
- 在地下公用事业工程 (SUE) 中,增强现实 (AR) 已经取得了进展,但数据质量仍然是一个挑战.
- 现有的SUE数据往往缺乏完整性和准确性,阻碍有效的公用事业管理.
- 准确的建成文件对于安全高效的挖掘和基础设施项目至关重要.
研究的目的:
- 介绍一种新的自动化方法,用于将现有的SUE数据库与实时挖掘测量对齐.
- 为了应对纠正规划和建造实用设施文档之间的偏差的挑战.
- 提供一种解决方案,通过在线和现场纠正数据来规避繁的后期处理.
主要方法:
- 使用现场挖掘现场捕获的基础设施细分.
- 一个合适的方法来将推断的位置和方向与现有的数字计划相关联.
- 使用自动化数据对齐,将按计划模型注册到按建造状态.
主要成果:
- 证明了SUE数据库与挖掘测量的成功对齐.
- 验证了拟议的方法能够正确规划和构建文件的偏差.
- 实现在线,现场数据校正,消除后期处理的需要.
结论:
- 开发的方法在自动化SUE数据质量提升方面提供了显著的改进.
- 这种方法有可能彻底改变即建实用程序文档的管理方式.
- 在现场实时数据校正提高了地下公用事业工程的准确性和效率.
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