Equipment with diesel engines is used in all mining enterprises. Monorail diesel transport is of great importance in coal mines, as it facilitates the heavy labor of workers when transporting materials and people, fixing mining workings, refueling and repairing equipment, which leads to an increase in the speed of tunneling operations. Reducing the concentration of harmful gases from diesel-hydraulic locomotives at the workplaces of coal mine locomotive drivers can be ensured by the use of additives to diesel fuel that reduce the volume of harmful gas emissions during the operation of diesel-hydraulic locomotives. Additive ester-based on vegetal oil in the amount of 5 mass % in a mixture with hydrotreated diesel fuel reduces the concentration of carbon monoxide by 19-60 %, nitrogen oxides by 17-98 %, depending on the operating mode of the engine, the smoke content of the exhaust gases is reduced to 71 %. There is an improvement in working conditions at the workplace of the driver of a diesel-hydraulic locomotive by the chemical factor due to the reduction of the class of working conditions from 3.1. to 2.
The paper contains the analysis of the data on major industrial accidents and occupational injuries at the coal mine industry enterprises of Russia in order to reveal statistically significant correlations between the indicators impacting the accident rate and the employees’ death risk level. As the risk criteria, the values of the methane-air resultant mixtures (MARM) explosions frequency and the frequency of the staff exposure at MARM explosions in the mines (observed levels of personal risks) are taken. The Kolmogorov–Smirnov test and Kruskal–Wallis test are used to analyze the categorized data samplings over the period from 2005 to 2016. The authors have defined the influence of relative gas content and hazard of layers regarding spontaneous combustion on the MARM explosions frequency. The regression models that take into consideration the impact of hazardous factors on the risk indicators have been received. The results of the performed coal mines ranging in Russia have been presented according to the level of individual risk, caused by MARM explosions; the received results have been compared with the acceptable tolerable risk level. The relevance of applying the research findings has been shown at the implementation of the dynamic model of the risk-based approach for ensuring coal mines safe exploitation.
Purpose. Rationale of priority areas in the field of hazard analysis at hazardous production facilities (HPF) and the develop ment of a method that allows for spatial analysis of the risk of accidents at a high level of detail. methodology. The authors proposed a method for processing heterogeneous information in order to identify hazardous areas for accidents, based on systematization and processing of source data using expert systems. findings. Using the example of spatial analysis of risk of explosion of methaneair mixture in the working area of a coal mine, the possibility of practical implementation of the proposed method was demonstrated. For this purpose, an expert system was used, which was formed on the basis of fuzzy logic inference algorithms in MATLAB Fuzzy Logic Toolbox environment, and further point interpolation was performed using the Golden Software Surfer. originality. Based on the model of expert system of a fuzzy logical output, relationships have been established between a nu merical indicator of the risk of an accident-an explosion of a methaneair mixture, and indicators of mining, geological, mining, subjective, and organizational risk factors. The expediency of the development of separate expert systems for the analysis of indi vidual sources of hazards in order to create a single component object environment for the implementation of comprehensive analysis of safety of HPF is substantiated. Practical value. The work presents the rationale for the universality of the chosen methodological approach, which allows adapting expert systems for analyzing various hazards on HPF in various industries. The obtained results can be used for the timely and targeted implementation of preventive protective measures, which will be the practical use of the principles of the risk based approach (RBA) in ensuring the safety of HPF.
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