JE Dunn Construction, Portland, OR 97209, USA.
School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, USA.
Sensors (Basel). 2020 Feb 2;20(3):806. doi: 10.3390/s20030806.
Proximity warning systems for construction sites do not consider whether workers are already aware of the hazard prior to issuing warnings. This can generate redundant and distracting alarms that interfere with worker ability to adopt timely and appropriate avoidance measures; and cause alarm fatigue, which instigates workers to habitually disable the system or ignore the alarms; thereby increasing the risk of injury. Thus, this paper integrates the field-of-view of workers as a proxy for hazard awareness to develop an improved hazard proximity warning system for construction sites. The research first developed a rule-based model for the warning generation, which was followed by a virtual experiment to evaluate the integration of worker field-of-view in alarm generation. Based on these findings, an improved hazard proximity warning system incorporating worker field-of-view was developed for field applications that utilizes wearable inertial measurement units and localization sensors. The system's effectiveness is illustrated through several case studies. This research provides a fresh perspective to the growing adoption of wearable sensors by incorporating the awareness of workers into the generation of hazard alarms. The proposed system is anticipated to reduce unnecessary and distracting alarms which can potentially lead to superior safety performance in construction.
施工现场的接近警告系统并没有考虑到工人在发出警告之前是否已经意识到了危险。这可能会产生冗余和分散注意力的警报，干扰工人及时采取适当的回避措施的能力；并导致警报疲劳，促使工人习惯性地禁用系统或忽略警报；从而增加受伤的风险。因此，本文将工人的视野范围作为危险意识的代理，以开发一种改进的施工现场危险接近警告系统。研究首先开发了基于规则的警告生成模型，然后进行了虚拟实验来评估在警报生成中整合工人视野范围。基于这些发现，开发了一种改进的危险接近警告系统，该系统将工人的视野范围纳入其中，用于现场应用，该系统利用可穿戴惯性测量单元和定位传感器。通过几个案例研究说明了该系统的有效性。本研究通过将工人的意识纳入危险警报的生成，为可穿戴传感器的日益普及提供了新的视角。预计所提出的系统将减少不必要的和分散注意力的警报，从而有可能在建筑安全方面取得更好的性能。
