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