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智能机器人, 在施工现场利用工业4.0：挑战与机遇, 智能工地, 机器人技术在现场建筑施工中的系统综述, 智能机器人（）, 任务书,…
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任务书
SPSS数据分析
差异性检验
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差异性检验的数值意义是1.均值±标准差；2.T值中两颗✳✳代表P值小于0.01（显著）三颗代表小于0.001一颗代表小于0.05；3. :需要注意样本检验时候的数值的选择，在方差方程的Levene检验中，如果P值小于0.05，则取下面一行的T值和P值，大于则取第一行 :warning:
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效度检验
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检验方式
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探索性因子分析（EFA）
看特征值是否大于1,以及有几个题目大于1；同时累计方差解释度达到60%即可
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Smart construction
AI Technology
Smart work clothing
almost same function with helmet, but can focus on body temperature monitoring
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VR devices
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Improve workers' operational awareness and pre-job training in the face of high-risk machinery to reduce safety risks
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Final purpose
Develop a comprehensive smart construction site management system to interconnect equipment and share data. This improves the efficiency and safety of site management and reduces costs and risks
Selling smart site technology and services to construction companies, engineering contractors and other businesses
It may also be possible to consider promoting smart site technology to government to improve safety and health across the construction industry
Mobile technology
Camera
Provide high quality monitoring, increase management visibility and improve management efficiency
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Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance
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Results and analysis
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Most people's organisations have fewer than 10 AI systems, indicating low market share
The main application scenarios for AI in order of importance: consistent with the four applications mentioned earlier
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robot-Identification and classification of risk factors for human-robot collaboration from a system-wide perspective
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Enhancing on-site Workers‘ Health and Safety via Construction 4.0 technology implementation to improve productivity
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接受建筑项目成本管理的现代技术
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摘要
建筑行业变得更加数字化，传统的建筑活动方法正在逐渐过时。在这个数字化施工的时代，各种信息和通信技术已经被开发并部署到现场，用于管理和控制施工活动，包括成本管理。无论采用这些技术的好处，他们中的大多数仍然没有被接受用于施工管理。本研究阐述了七（7）个最新的技术驱动行业，并评估了他们的接受建设项目的成本管理。这些技术包括移动的技术、增强/虚拟现实（AR/VR）、建筑信息建模（BIM）、物联网（IoT）、自主设备（无人机和机器人）、人工智能（AI）和预测分析（PA）。数据收集使用一个重组的问卷和技术接受模型分析进行，以确定哪些技术具有较高的接受成本管理的基础上的标准的可用性，可负担性，使用频率，成本管理的有用性，并接受在行业中。测试统计使用斯皮尔曼的相关性和肯德尔的相关性的技术和斯皮尔曼的相关性的技术接受与其他变量在TAM模型进行。结果表明，移动的技术具有较高的相关值比其他技术，因此有较高的接受成本管理。肯德尔的一致性值和斯皮尔曼的相关值的系数为移动的技术都高于0.6，这表明一个高水平的协议之间的评分员和TAM变量之间的强关系。
Initial report
research background
Problems in the construction industry in the area of safety and health of construction workers plus examples or data (overall impact)
Some data on the development of the construction industry (e.g. scale of development, number of people employed, etc.), showing the importance of the construction industry, leading to the importance of concern for the health and safety of workers
Highlight the urgent need for society or government to focus on worker safety and health and the future trend of focusing on worker safety and health, possibly from a corporate social responsibility perspective
The background of the creation of Industry 4.0, together with the process of the creation of the concept of Building 4.0, leads to the technologies related to Building 4.0
The importance of Construction 4.0 technologies in improving worker safety, giving a description of the current state of use of some of these technologies and how to improve worker safety
Pointing out that the implementation of Building 4.0 technologies is still at an imperfect stage (highlighting the challenges faced), as well as identifying general trends for the future (future opportunities) highlighting the importance of implementing Building 4.0 technologies in the construction industry
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