A training station using virtual reality to simulate working at heights
dr inż. Marcin Jachowicz, dr inż. Grzegorz Owczarek, dr inż. Joanna Szkudlarek
The article presents presents the possibilities of using virtual reality technology for safety training, utilized when working at heights, and also describes an original training station developed at Central Institute for Labour Protection – National Research Institute, integrated with an application intended for conducting this type of training, which enables simulations of working at heights at selected work stations, in various weather conditions and taking into account the elements of the selection of protective and work equipment. The application was prepared in the Unity 3D environment based on scenarios developed by the authors of article.
DOI: 10.54215/BP.2023.10.20.Jachowicz
Estimation of the probability and the severity of an accident at work based on statistical data analysis
dr Szymon Ordysiński
The article presents a method of analysing statistical data registered in national databases concerning accidents at work and persons employed. The results of such analysis can be used to determine the probability and severity of accidents at work in particular groups of employees, defined on the basis of the characteristics of these employees and the circumstances of their work. The analysis of statistical data from two different databases, in which a specially developed method of data integration and identification of representative groups of employees was used (consisting in the gradual reduction of the division rule and the use of the bootstrap coefficient of variation), allows for the calculation of the probability index of occupational accidents. In addition, the combination of several one-dimensional and multidimensional analysis methods made it possible to identify groups of injured in accidents at work that are sufficiently numerous and strongly diversified in terms of the severity of accidents, which ensures high accuracy of the severity of accidents predicted on their basis.
DOI: 10.54215/BP.2023.10.21.Ordysinski