Formal Prevention through Design Process and Implementation for Mechanical, Electrical, and Plumbing Worker Safety

Osburn, Laura; Lee, Hyun Woo; Gambatese, John

doi:10.1061/(asce)me.1943-5479.0001083

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…The literature emphasizes the importance of a thorough risk analysis from the initial conception phase, incorporating proactive measures to mitigate risks in the design (JOHANSEN;SCHULTZ;TEIZER, 2024). Various terms are used to define this strategy, such as prevention through design, safety by design, safety through design, design for safety, and safe design (OSBURN; LEE; GAMBATESE, 2022;SAMSUDIN et al, 2022).…”

Section: Security Risks In Designingmentioning

confidence: 99%

Accident prevention in construction

Azevedo,

Vasconcelos

2024

arq.urb

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Construction is a sector characterized by a high likelihood of accidents, among the factors that have the potential to reduce such accidents, the design stage is important to reduce risks in the life cycle of the enterprise. The need to reduce risks on the construction site early and proactively has fostered the development of digital tools for designs. This study aimed to conduct a systematic review of the literature on the development and application of digital tools capable of identifying security risks in designs and examine them to point out their characteristics and limitations. The review of the literature was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. The research showed that although the use of digital tools has great potential for impact on risk mitigation in the design stage, they are still little used and have not reached their maximum potential. In addition, this systematic review indicates possibilities of use, which include the automation of risk verification and provision of security measures, as well as limitations, as the absence of consideration of the dynamism of the work in digital tools. Therefore, the present work presents a basis to help structure future applied research in the area.

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Section: Security Risks In Designingmentioning

confidence: 99%

Accident prevention in construction

Azevedo,

Vasconcelos

2024

arq.urb

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“…Mobile inspection robots are equipped with high-definition cameras to obtain real-time data of the power construction site and are based on high-precision machine vision technology to form an intelligent analysis algorithm. When a power operator is found to have illegal actions, it can be reflected in the control center in real-time [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Research on Electricity Operation Behaviour Recognition Strategy Combined with Intelligent Image Recognition and Its Key Technology

Feng,

Chen,

Zhou

et al. 2024

Applied Mathematics and Nonlinear Sciences

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This paper builds a power operation target detection model based on the YOLOv4 algorithm in intelligent image recognition, and optimizes the YOLOv4 algorithm by combining with the loss function to improve the accuracy of power target operation detection. The kmeans++ algorithm was used to cluster the electric power operation behaviors to obtain a more accurate electric power operation behavior dataset. Three sets of tests were conducted after the model was constructed, targeting the behavioral set of electric power workers in a certain place and the behavior in VOC format, followed by the multi-target tracking effect test. The analysis based on the obtained data showed that the helmet placement detection confidence, fatigue detection confidence, smoking detection confidence, and fall detection confidence reached 0.97, 0.93, 0.89, and 0.93, respectively. The transmission speed got 53.58 fps, and the recall and precision of the multi-target tracking were also above 93%. The YOLOv4 detection model based on keans++ clustering algorithm can effectively detect and identify the variable power operation behavior images.

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