The formwork system belonging to the temporary structure plays an important
role in the smooth progress and successful completion of a construction
project. Ensuring that the formwork system is installed as designed is
essential for construction safety and quality. The current way to measure the
spacing between formwork system members is mostly done using manual measuring
tools. This research proposes a framework to measure the spacing of formwork
system members using 3D point cloud data to enhance the automation of this
quality inspection. The novelty is not only in the integration of the different
techniques used but in the detection and measurement of key members in the
formwork system without human intervention. The proposed framework was tested
on a real construction site. Five cases were investigated to compare the 3D
point cloud data approach to the manual approach with traditional measuring
tools. The results indicate that the 3D point cloud data approach is a
promising solution and can potentially be an effective alternative to the
manual approach.

本研究提出了使用三维点云数据来检测和测量模板系统关键部位间距离的框架，该框架的自动化检测具有良好的应用前景，并在真实建筑工地获得了验证。

基于三维点云数据的模板系统构件自动间距测量

Automated spacing measurement of formwork system members with 3D point  cloud data

Detecting Personal Protective Equipment in images and video streams is a
relevant problem in ensuring the safety of construction workers. In this
contribution, an architecture enabling live image recognition of such equipment
is proposed. The solution is deployable in two settings -- edge-cloud and
edge-only. The system was tested on an active construction site, as a part of a
larger scenario, within the scope of the ASSIST-IoT H2020 project. To determine
the feasibility of the edge-only variant, a model for counting people wearing
safety helmets was developed using the YOLOX method. It was found that an
edge-only deployment is possible for this use case, given the hardware
infrastructure available on site. In the preliminary evaluation, several
important observations were made, that are crucial to the further development
and deployment of the system. Future work will include an in-depth
investigation of performance aspects of the two architecture variants.

本文提出了一种在线识别人们佩戴个人防护装备的架构，可用于确保建筑工人的安全，可以在边缘 - 云和仅边缘的两种设置下部署，使用 YOLOX 方法在建筑工地上进行了测试，初步评估表明，对于这种用例，边缘部署是可行的，未来的工作将包括对两种架构变体性能方面进行深入研究和部署。