We consider the problem of providing acoustic safety at the machine-building enterprises, where manual pneumatic tools and electrical tools are widely used in assembly shops. As an example we considered the noise during operation of pneumatic tools, which are the most preferable from the point of view of ensuring electrical safety. The necessity of monitoring audiograms of operators performing assembly operations, repair and adjustment at the machine assembly lines is justified. We analyzed the types of the used pneumatic tools and their service life, measured the level of generated noise and compared the obtained data with the passport acoustic characteristics from manufacturer. As a result, we showed the need to take into account the operating characteristics of instrument while ensuring acoustic safety. The main criteria for acoustic safety are defined.
There is suggested an analytical approach to occupational safety management based on the use of a logico-statistical model for assessing occupational risks, which allows processing large sets of data for instrumental measurements of labor conditions. The results of processing information on the assessment of working conditions using a logico-statistical model allow us to predict the levels of occupational risks at various workplaces, which makes it possible to develop optimal management decisions for preserving the life and health of workers in enterprises. The prospect of using data mining methods in the tasks of OSH management at the enterprise opens up the possibility of creating decision-making mechanisms that take into considiration the dynamism of the working environment and make it possible to increase the validity of the choice of the priority of labor protection measures.
An analytical data mining approach to the assessment of an occupational risks is proposed and based on the use of an injury safety indicator, which allows to determine the degree of safety (hazard) of the workplace, to carry out statistical processing of the results collected with its help, which will help with further planning of labour protection measures. The results of an occupational risk assessment with the use of an injury safety indicator make it possible to predict the levels of occupational risks at various workplaces, which makes it possible to develop the optimal management decisions for the preservation of the life and health of workers in enterprises. The prospect of using data mining methods in the tasks of labour protection management at an enterprise opens up the possibility of creating decision-making mechanisms that take into account the dynamic state of the working environment and make it possible to increase the validity of the choice of priority labour protection measures.
The article considers an algorithm for assessing professional risk for employees of energy production enterprises using sources of ionizing radiation. The problematic issues in determining the professional risk of employees are identified and the ways of their solution are proposed. There are also two criteria for assessing professional risk: “Dose load” and “Permissible work experience”. When assessing professional risk, it is proposed to take into account the impact on the environment and sustainable development of society.
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