Algorithm for Selection Equipment to Reduce the Technogenic Effect on the Environment

The work is devoted to the development of an algorithm for selection dust and gas purification equipment in order to reduce the anthropogenic impact on the environment from emissions of the heat, power and chemical industries, which are sources of complex environmental pollution. The need for the research was necessitated by the inefficiency of environmental measures taken due to the huge number of devices with different designs for emissions’ purification, their non-universality and low efficiency of the purification systems. The main goal of the study was to develop a software algorithm for the reasonable choice of the optimal dust and gas purification equipment, taking into account the actual conditions of the technological environment and the characteristics of pollutants. The goal was achieved using a logical and mathematical description of the pollutant parameters, environmental conditions and process equipment parameters. The uniqueness of the developed algorithm consisted of rechecking the compliance of each equipment parameter with environmental conditions and pollutant characteristics. The most important aims were to obtain an algorithm for selection efficient equipment, taking into account its parameters and initial characteristics of pollutants and environmental conditions, the simplicity and accessibility of its implementation for a wide number of industrial facilities in the heat, power and chemical industries. The proposed algorithm, in contrast to the approaches used in practice, was characterized by the work flexibility due to the possibility of supplementing and improving the databases of pollutants and equipment.