Risk factors and emerging technologies for preventing falls from heights at construction sites

Khan, Muhammad Basit; Nnaji, Chukwuma; Khan, Muhammad Shoaib; Ibrahim, Abdullahi; Lee, Doyeop; Park, Chan-Sik

doi:10.1016/j.autcon.2023.104955

Cited by 13 publications

(4 citation statements)

References 115 publications

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“…Considering that construction workers mainly perform physical work for extended periods, their fatigue level can potentially affect their body stability [ 32 ]. Consequently, studies have been conducted to investigate the relationship between fatigue and body stability from various perspectives [ 33 , 34 , 35 , 36 , 37 , 38 ]. Escobar-Linero et al [ 37 ] utilized electromyography (EMG) sensors to measure muscle fatigue and evaluated its impact on body stability.…”

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Fatigue, Recovery, and Environmental Factors on the Body Stability of Construction Workers

Jo,

Kim

2024

Sensors

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In the construction industry, falls, slips, and trips (FST) account for 42.3% of all accidents. The primary cause of FST incidents is directly related to the deterioration of workers’ body stability. To prevent FST-related accidents, it is crucial to understand the interaction between physical fatigue and body stability in construction workers. Therefore, this study investigates the impact of fatigue on body stability in various construction site environments using Dynamic Time Warping (DTW) analysis. We conducted experiments reflecting six different fatigue levels and four environmental conditions. The analysis process involves comparing changes in DTW values derived from acceleration data obtained through wearable sensors across varying fatigue levels and construction environments. The results reveal the following changes in DTW values across different environments and fatigue levels: for non-obstacle, obstacle, water, and oil conditions, DTW values tend to increase as fatigue levels rise. In our experiments, we observed a significant decrease in body stability against external environments starting from fatigue Levels 3 or 4 (30% and 40% of the maximum failure point). In the non-obstacle condition, the DTW values were 9.4 at Level 0, 12.8 at Level 3, and 23.1 at Level 5. In contrast, for the oil condition, which exhibited the highest DTW values, the values were 10.5 at Level 0, 19.1 at Level 3, and 34.5 at Level 5. These experimental results confirm that the body stability of construction workers is influenced by both fatigue levels and external environmental conditions. Further analysis of recovery time, defined as the time it takes for body stability to return to its original level, revealed an increasing trend in recovery time as fatigue levels increased. This study quantitatively demonstrates through wearable sensor data that, as fatigue levels increase, workers experience decreased body stability and longer recovery times. The findings of this study can inform individual worker fatigue management in the future.

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Section: Literature Reviewmentioning

confidence: 99%

The Influence of Fatigue, Recovery, and Environmental Factors on the Body Stability of Construction Workers

Jo,

Kim

2024

Sensors

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“…This recognition has increased research activities aimed at exploring various methods and applications tailored to monitoring construction sites. Despite acknowledging their potential, the literature emphasizes the limited practical deployment and application of these techniques within the dynamic environment of construction sites [23]. This limitation underscores the necessity for further exploration and development in this area.…”

Section: Computer Vision Techniques For Construction Safety Monitoringmentioning

confidence: 99%

“…However, these methods, despite their effectiveness in controlled environments, have yet to be deployed and assessed on actual construction sites in real-time [23]. Some researchers have proposed practical applications of their CV techniques in real constructionsite scenarios, but these models commonly exhibit limited generalizability, performing well only within the specific conditions of their training datasets.…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Construction Safety Monitoring Utilizing Temporal Analysis to Reduce False Alarms

Zaidi,

Yang,

Abbas

et al. 2024

Buildings

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Construction safety requires real-time monitoring due to its hazardous nature. Existing vision-based monitoring systems classify each frame to identify safe or unsafe scenes, often triggering false alarms due to object misdetection or false detection, which reduces the overall monitoring system’s performance. To overcome this problem, this research introduces a safety monitoring system that leverages a novel temporal-analysis-based algorithm to reduce false alarms. The proposed system comprises three main modules: object detection, rule compliance, and temporal analysis. The system employs a coordination correlation technique to verify personal protective equipment (PPE), even with partially visible workers, overcoming a common monitoring challenge on job sites. The temporal-analysis module is the key component that evaluates multiple frames within a time window, triggering alarms when the hazard threshold is exceeded, thus reducing false alarms. The experimental results demonstrate 95% accuracy and an F1-score in scene classification, with a notable 2.03% average decrease in false alarms during real-time monitoring across five test videos. This study advances knowledge in safety monitoring by introducing and validating a temporal-analysis-based algorithm. This approach not only improves the reliability of safety-rule-compliance checks but also addresses challenges of misdetection and false alarms, thereby enhancing safety management protocols in hazardous environments.

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“…Building information modeling (BIM) has been shown to improve occupational safety, for instance, by facilitating accurate site layouts and safety plans, applying cutting-edge methods for visualizing existing designs, the acquisition of spatial-temporal information, and safety communication [6,[17][18][19][20]. Thus, project teams can glean helpful information for furthering the aims of the project.…”

Section: Introductionmentioning

confidence: 99%

A Human Detection Approach for Intrusion in Hazardous Areas Using 4D-BIM-Based Spatial-Temporal Analysis and Computer Vision

Tran,

Lee,

Bao

et al. 2023

Buildings

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Detecting intrusion in hazardous areas is one of the priorities and duties of safety enhancement. With the emergence of vision intelligence technology, hazardous-area-detection algorithms can support safety managers in predicting potential hazards and making decisions. However, because of the dynamic and complex nature of the jobsite, high-risk zones have a different geometry and can be changed following the schedule and workspace of activity. This leads to hazardous areas being annotated manually. Thus, this study proposes a computer vision and a 4D BIM-based approach for intrusion detection in hazardous areas, called IDC4D. IDC4D comprises three modules: (1) the 4D BIM-based safety planning (4BSP) module, which analyzes the hazardous area; (2) the hazardous area registration (HAR) module, which delivers the hazardous area from the BIM model to the camera’s first frame image; and (3) the hazardous-area-intrusion-detection module (HAID), which applies the computer vision algorithm to identify the correlation between workers and hazardous areas. The efficiency of the IDC4D approach is validated by testing a maintenance project on the construction site. IDC4D supports the planner in choosing the plan and detecting the event of workers entering hazardous areas while working. It showed an average precision of 93% and 94% in phase 1 and phase 2, respectively. These findings provide insight into how varying geometries of diverse hazard areas can be handled for enhancing intrusion detection.

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Risk factors and emerging technologies for preventing falls from heights at construction sites

Cited by 13 publications

References 115 publications

The Influence of Fatigue, Recovery, and Environmental Factors on the Body Stability of Construction Workers

The Influence of Fatigue, Recovery, and Environmental Factors on the Body Stability of Construction Workers

Vision-Based Construction Safety Monitoring Utilizing Temporal Analysis to Reduce False Alarms

A Human Detection Approach for Intrusion in Hazardous Areas Using 4D-BIM-Based Spatial-Temporal Analysis and Computer Vision

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