通过基于图像的活动分类来评估安全激励对工人安全行为控制的影响
1Department of ICT Integrated Ocean Smart Cities Engineering, Dong-A University, Busan, Republic of Korea.
Frontiers in public health
|August 27, 2024
概括
本研究使用基于图像的方法来监测建筑工人安全. 在没有反的情况下奖励良好的行为是有效的,而处罚最好是频繁反以改善遵守.
科学领域:
- 建筑工程安全 建筑工程安全
- 行为科学 行为科学
- 计算机视觉 计算机视觉
背景情况:
- 建筑工人安全是一个持续的挑战,目前安全激励措施的有效性很难准确地衡量.
- 传统的指标,如事故发生率,并不完全反映工人遵守安全法规.
研究的目的:
- 开发一种基于图像的方法,用于实时监测建筑工人的安全行为.
- 评估不同安全激励场景对工人合规性的有效性.
主要方法:
- 利用集成OpenPose和时空图卷积网络的模型捕捉工人安全行为.
- 评估了安全激励场景,包括奖励/处罚类型和反频率.
- 对个人防护设备,避免危险和安全使用的合规率进行比较.
主要成果:
- 当没有提供关于状态的反时,奖励良好的合规性更有效.
- 在任务中给出三次反时,惩罚不合规更有效.
结论:
- 拟议的基于图像的方法可以更准确地评估安全激励措施的有效性.
- 专注于可观察到的安全行为可以促进建筑工人更好地遵守安全规定.
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