Analysis of Occupational Injuries in Construction and Offer of a Technical Solution Increasing Tower Crane Stability

Spirina, Antonina; Mironov, A. F.; Datkhuzheva, Ruzana; Maksimov, A. Yu.; Белова, Н В

doi:10.1016/j.trpro.2023.02.076

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Similarly, when Samanta & Gochhayat [8] investigated the major challenges and issues faced by construction industry in India by distributing questionnaires, they arrived at the conclusion that priorities should be given to (1) awareness and training, (2) workplace ergonomics and safety measures, (3) workplace information and monitoring, (4) support practices, (5) safety thinking, and (6) spirituality, subsequently, to make significant safety improvement at the sites. However, a different characteristic of recommendations can be seen from the specific investigation made by Spirina et al [26] that was focused on the lifting mechanisms of tower crane. They scaled down Rzhevsky Crane Plant (KB-401 Crane) tower crane to improve the safety of tower crane operation by shifting its counterweight across traveling rollers in the direction contrary to the probable collapse.…”

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A Multifaceted Assessments of Occupational Hazards in a Building Construction Site: Insights from a Case Study

Hanani,

Yuhan,

Imron

et al. 2024

Engineering Headway

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The current study presents a comprehensive investigation of occupational hazards at a building construction site in Palembang, Indonesia. The primary aim of this research was to identify and understand the range of occupational safety and health (OSH) hazards present at the construction site, including physical, chemical, biological, ergonomic, and psychological hazards, in a bid to enhance the mitigation of these hazards. The primary data collection methods involved direct observations, photographic documentation, and short interviews with on-site personnel where a substantial array of insights was collected, including the presence of a workplace safety program, the recognition of main, potential workplace hazards, and other unsafe activities which workers performed within their job. Considering the scale of the project, with only 40 workers involved and the minimum utilization of heavy equipment, the focus of the physical and biological hazards findings was fixed around the presence of a diesel engine that was used as a part of an improvised crane to lift and lower objects, as well as the accumulated waste (mostly discarded food packaging) that was built-up at one corner of the construction site. Other hazards were also identified, including chemical hazards related to specific on-site activities, ergonomic hazards arising from workers’ movements, and the psychological hazard of extended overtime hours. A series of recommendations were then tailored to address these recognized hazards as the conclusion of the study. While the research is site-specific, the insights and recommendations were expected to provide value for the broader construction sector, particularly for those facing the unique challenges posed by evolving OSH practices and emerging safety culture.

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confidence: 99%

A Multifaceted Assessments of Occupational Hazards in a Building Construction Site: Insights from a Case Study

Hanani,

Yuhan,

Imron

et al. 2024

Engineering Headway

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Human reliability of the intelligent construction site tower crane driver interface based on DEMATEL-ISM-BN

Lixia,

2024

PLoS ONE

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With the arrival of Industry 4.0, intelligent construction sites have seen significant development in China. However, accidents involving digitized tower cranes equipped with smart systems continue to occur frequently. Among the main causes of these accidents is human unsafe behavior. To assess the human factors reliability of intelligent construction site tower cranes, it is necessary to shift the safety focus to the human-machine interface and identify patterns of human error behaviors among tower crane drivers through text mining techniques (TF-IDF-TruncatedSVD-ComplementNB). Based on the SHEL model, the behavioral factors influencing human factors reliability in the human-machine interface are categorized and a Performance Shaping Factors (PSF) system is constructed. Building on the foundation of constructing an indicator system for human factors error influence in the driver interface of intelligent construction site tower cranes, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is combined with the Interpretive Structural Modeling (ISM) to analyze the importance of various factors in causing human errors and to analyze the logical structure among these factors. Simultaneously, a Bayesian network is constructed using a multi-level hierarchical structural model, thus establishing a new evaluation method for the human-machine interface. The effectiveness of the proposed method is validated through Bayesian network causal inference based on real case studies. The results demonstrate that the evaluation process of this method aligns with the operational scenarios of tower crane drivers in intelligent construction sites. It not only allows for quantifying the likelihood of human errors but also enables the development of targeted measures for controlling unsafe behaviors among tower crane drivers in intelligent construction sites.

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Influence of the Competencies of Lifting Crane Specialists on the Probability of Emergencies

Egelsky,

Nikolaev,

Egelskaya

et al. 2023

jour

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Introduction. The operation of lifting cranes is an integral part of the production processes. For the trouble-free operation of these mechanisms, certain knowledge, skills and abilities are required, which should also be possessed by specialists performing organizational and supervisory functions at facilities where such cranes are involved. Here there is an important problem – the lack of a reasonable connection between the level of development of professional competencies and possible emergency situations, as well as various incidents during the operation of lifting cranes. The authors of this study are trying to solve it. Their goal in this regard is to assess the probability of an emergency during the operation of lifting cranes, depending on the level of professional competence of specialists, through the use of neural networks.Materials and Methods. The competencies of workers in the operation of lifting cranes (knowledge, skills and work responsibilities) provided for by the professional standard «Specialist in the operation of lifting structures» were used as initial data to train neural networks. Based on them, a list of possible incidents was compiled. For the purposes of training, the results of the certification of 200 conditional employees were generated. During the generation, the Monte Carlo method was used, and the data were output to Excel tables. Neural networks were trained in Python 3.10 in the PyCharm development environment. Open libraries Keras and TensorFlow, as well as auxiliary libraries for data representation and processing (Pandas, NumPy, Scikit-learn) were used for neural networks training.Results. As a result, a tool was obtained – a neural network in the form of executable program code, which makes it possible to assess the probability of emergencies during the operation of lifting cranes by analyzing the degree of proficiency of specialists in professional competencies. It is proposed to implement artificial intelligence technologies based on neural networks in order to assess the knowledge, skills and abilities of specialists of facilities operating lifting cranes, both during the certification of employees and in the course of work.Discussion and Conclusion. The main result of using neural networks to assess the knowledge of employees of facilities operating lifting cranes is the expected reduction in accidents, which can be ensured by timely identification of incompetent personnel at the stages of primary certification and, most importantly, during periodic tests of knowledge based on an impartial analysis and evaluation of data.

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Analysis of Occupational Injuries in Construction and Offer of a Technical Solution Increasing Tower Crane Stability

Cited by 3 publications

References 3 publications

A Multifaceted Assessments of Occupational Hazards in a Building Construction Site: Insights from a Case Study

A Multifaceted Assessments of Occupational Hazards in a Building Construction Site: Insights from a Case Study

Human reliability of the intelligent construction site tower crane driver interface based on DEMATEL-ISM-BN

Influence of the Competencies of Lifting Crane Specialists on the Probability of Emergencies

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