Architectural solutions for the placement of controlled infrastructure facilities using GIS technologies and artificial intelligence methods

The article proposes an approach to building the architecture of the location of infrastructure facilities based on the integration of qualitative and quantitative analysis of features of objects using GIS technologies and artificial intelligence methods. The approach makes it possible to increase the objectivity and accuracy of assessing the state of the infrastructure; provides a visual representation of the results; informing about the potential risk of failures and the need for updating or correcting errors, recovery procedures, performance assessment; network traffic optimization, data warehouses and other resources depending on their demand. GIS technologies and tools for assessing territorial, social, and socio-economic factors are used to assess the feasibility of the territorial location of infrastructure facilities. The results of the analysis of the constructed architecture of the location of infrastructural objects to increase visibility can be presented in the form of interactive thematic maps using perceptually linear color palettes, quantitative metrics, and the synthesis of scenarios for the use of infrastructural objects. Visualization modules additionally allow for the formation of sound recommendations on the choice of locations of infrastructure facilities. The developed model of the location of infrastructure facilities and the methodology for analyzing the architectures of the location of facilities take into account the strategic priorities of the operating organization, make it possible to rank potential locations of facilities by qualitative and quantitative analysis of the signs of facilities, demonstrate a high degree of practical applicability and can be used to optimize the location of infrastructure facilities.

Authors: A. G. Glushchenko, I. I. Kholod

Direction: Informatics, Computer Technologies And Control

Keywords: information systems, system analysis, geospatial analysis, information processing, artificial intelligence, data visualization, decision support

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