MODELING OF LOCAL INDUSTRIAL ENVIRONMENTAL MONITORING SYSTEMS
Author(s): Surina E.E.
Rubric: Management in social and economic systems
DOI: 10.21777/2500-2112-2021-2-65-71
Release: 2021-2 (35)
Pages: 65-71
Keywords: environmental monitoring, information model, expert assessment, functionality of an automated system
Annotation: The article examines the problem of creating and developing a comprehensive system of industrial environmental monitoring. The complexity of the problem lies in the presence of uncertainty in solving the problems of assessing and forecasting the environmental situation. The complexity of the structure and functionality of heterogeneous industrial environmental monitoring systems is shown, the relevance of modeling local systems at various levels is justified. Methods of mathematical support of software complexes of industrial environmental monitoring systems are investigated, characteristic features are highlighted. A comparative analysis of the methods used in the models allowed us to conclude that in certain cases, some of the methods cannot be used, some will require adaptation to a given object by empirically refining the coefficients of the equations underlying the method. Another group of methods is singled out, which does not take into account the geographical specifics of the area or, taking it into account, gives significant calculation errors commensurate with the initial values of concentrations. To solve the problem of leveling these shortcomings, an information model for modeling and monitoring the environmental situation is proposed. Recommendations are formulated for the creation and development of local industrial environmental monitoring systems based on improving numerical modeling methods, strengthening integration with enterprise information system platforms, expanding the functionality of remote data transmission, strengthening the analytical functionality of software tools.
Bibliography: Surina E.E. MODELING OF LOCAL INDUSTRIAL ENVIRONMENTAL MONITORING SYSTEMS // Education Resources and Technologies. – 2021. – № 2 (35). – С. 65-71. doi: 10.21777/2500-2112-2021-2-65-71