论文标题
空间时间分析，用于自动具体可加工性估计
Spatial-temporal Analysis for Automated Concrete Workability Estimation
论文作者
论文摘要
具体的可加工性措施主要是基于对认证评估者进行视觉检查的主观评估来确定的。衡量可加工性和对可加工性的不必要调整的潜在人为错误是建筑行业面临的重大挑战，导致了巨大的成本，物质浪费和延迟。在本文中，我们尝试应用计算机视觉技术来观察混凝土混合过程并估算可工程性。具体而言，我们收集了视频数据，然后构建了三个不同的深神经网络，以用于时空回归。试点研究表明，使用计算机视觉技术的实用应用，以估计混合过程中具体的可行性。
Concrete workability measure is mostly determined based on subjective assessment of a certified assessor with visual inspections. The potential human error in measuring the workability and the resulting unnecessary adjustments for the workability is a major challenge faced by the construction industry, leading to significant costs, material waste and delay. In this paper, we try to apply computer vision techniques to observe the concrete mixing process and estimate the workability. Specifically, we collected the video data and then built three different deep neural networks for spatial-temporal regression. The pilot study demonstrates a practical application with computer vision techniques to estimate the concrete workability during the mixing process.
