This paper deals with the pyrolysis conversion of synthetic waste materials into noble fuels, i.e., heating oils, gasoline, diesel, and carbon. The following article presents the principle and use of pyrolysis conversion of waste tires and plastics. The core of the paper is the determination of energy properties of noble fuels obtained from pyrolysis conversion and the possibility of their real use in industry. The aim of this paper is a technical-economic evaluation of the use of waste pyrolysis in practice in the Slovak Republic. Unlike various methods of waste management, there are also more efficient methods, which primarily have a positive effect on the ecology of our Earth and at the same time can be effectively used for the production of alternative fuels. One of these methods is the pyrolysis conversion of synthetic waste materials into noble fuels. It is an ecological, waste-free, economical, and economical disposal of waste with a full recovery of its energy and material components with reduced emissions, and therefore this direction of using synthetic waste for the conversion of alternative fuels contributes to sustainable development. A significant advantage of this waste management is considered to be the fact that only waste tires or chlorine-free plastics are used as input materials without other necessary raw materials obtained by other economic activity. Tires and plastics are generated daily as waste in every household.
In modern conditions, management technology is becoming the main instrument of competition in many areas of production and business. The article focuses on the examinations of issues related to the possibilities of introducing an integrated risk management system in modern high-tech enterprises. The main scientific research methods are bibliographic analysis, formal logic methods, comparative analysis, methods of analogies. Based on the application of the guidelines of systems’ theory, of the theory of self-organization, the theory of risk management, and the theory of reflexive control the expert technology for risk management in a high-tech industrial enterprise was developed. As a result of the study, it was revealed that the use of technologies such as the ETRM will help to increase the feasibility and effectiveness of implementing complex projects such as fast-response QRM production.
This article deals with solving the urgent scientific problem of the diagnostics of drives of technological robotized workplaces with support of sensors. The dependence of diagnostic parameters on the technical state of drives of automated technological systems, which is of great economic importance for industrial enterprises, is being investigated. Diagnostic models have been developed based on sensory systems to diagnose drive models of technological robotized workplaces. The use of these models may also include monitoring systems in which it is possible to build a system for identifying detected changes. These systems identify many contradictory changes and thereby reduce the false alarm frequency of monitoring sensory systems. Numerous methods for solving technical diagnostics problems are often based on methods based on mathematical models describing work processes, as well as on spectral analysis of measured parameters, such as vibrations, noise, and electric current. A fuzzy inference system for assessing the technical condition, a system for estimating the residual resource of drives, and asystem for calculating diagnostic intervals based on fuzzy knowledge have been developed. Based on the historical trend of the diagnostic parameters, the intelligent diagnostic system determines the current technical condition of the actuator and predicts future technical condition changes, determines the remaining service life and the time intervals for diagnostics. The analysis of the time spent on planned preventive maintenance of technological equipment makes it possible to conclude that, after the modernization of equipment in 2018, the repair time was reduced from 350 h to 260 h per year (26%). Since 2019, there is a tendency to increase repair time by 30 h each year.
Calculation methods based on finite volume methods (CFD method) have proven to be very useful in optimizing (efficiency, emission) heat sources for wood burning. Such heat sources also include gasification hot-water boilers for the combustion of dry wood. One of the important parts of the entire process of converting the primary energy contained in the fuel to the transfer of heat to the heat carrier is the gasification of the fuel in the feed chamber and the subsequent burning of wood gas. The paper presents CFD simulation of wood gasification process in the filling chamber and subsequent burning of wood gas on a model heat source. As a model heat source, was selected a hot-water boiler with lower fuel firing with a flue gas-water heat exchanger tubular heat exchanger. It is a gasification hot water boiler for the combustion of dry wood. The interior of the boiler consists of a filling chamber where the fuel is dried and fused. The wood gas then passes through the nozzle to the combustion chamber, where it burns with the aid of secondary air. The flue gases pass their heat in the heat exchanger through the walls of the pipes into the water.
Harmful influence of human factor upon industrial processes and while vehicles running control necessitates to search for ways of its minimizing or total elimination. During the trials of ergatic system “locomotive team – brigade” assessment of informative functioning capacity of machinist is done with experimentally-statistic method. According to the research done the total number of signals that influence on locomotive brigade in process of movement makes approximately 20000 for during one trip, and the number of signals indicating abnormal situation reaches 165 for one trip. In time of train movement the period of signal processing lays at such interval – 0.3c < toc < 11c. It was stated during calculations with given assumptions that informative functioning capacity of a locomotive brigade approaches the threshold values, which constitute 2–4 bps. Received model allows to evaluate parameters of informative functioning capacity on a locomotive brigade in contrast to the information which should be obtained by a machinist in process of taking management decisions. This enables to define the ways of a locomotive brigade informative functioning capacity decrease.
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