通过基于3D点云技术的实时检测多式模式模块评估建筑废料处理中的聚合物的颗粒特性
Xiaohui Sun1, Bowen Liao2, Shuhua Huang3
1State Key Laboratory of Intelligent Geotechnics and Tunnelling (Shenzhen University), Shenzhen 518060, China; College of Civil and Transportation Engineering, the Underground Polis Academy, Shenzhen University, Shenzhen, Guangdong 518060, China; Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen, Guangdong 518060, China.
Waste management (New York, N.Y.)
|October 2, 2025
概括
本研究介绍了用于建筑破坏分级分析的智能3D扫描系统,取代了低效的选方法. 新方法提供了准确的实时粒子大小分布评估,以有效地重复使用材料.
科学领域:
- 土木工程 土木工程是指土木工程.
- 地质技术工程 地质技术工程
- 计算机视觉 计算机视觉
背景情况:
- 建筑破坏需要对重复使用进行分级评估.
- 传统的选方法效率低下,劳动密集.
- 准确的颗粒大小分布对于材料表征至关重要.
研究的目的:
- 开发一个智能多模式模块用于建筑破坏分级检测.
- 用先进的3D扫描技术取代传统的技术.
- 为了实现实时,准确的粒子大小和质量确定.
主要方法:
- 利用3D扫描技术来生成粒子点云.
- 实现了粒子点云集群用于细分精度.
- 使用的颗粒选尺寸测定用于分类.
- 集成的粒子表面重建和一种新的体积预测方法.
- 开发了一种粒子质量修饰模型,用于总体质量的确定.
主要成果:
- 在2秒内实现了对多粒子点云的近100%的细分精度.
- 保证颗粒大小分类准确度超过93.0%.
- 将分级错误平均减少到不到1.2%.
- 证明了适用于建筑工地的实时,二级检测能力.
结论:
- 拟议的3D扫描方法提供了一个高效和准确的替代传统选用于建筑破坏分级.
- 智能模块提供实时数据,对材料再利用和现场应用至关重要.
- 该技术在其他行业也有潜在的应用,例如采矿用于颗粒选.
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