Intelligent subsystem of technical operation of the automated control system “Water use of the irrigation system”

The analysis of the current state of research on the technical operation of irrigation systems and the introduction of information systems in the field of land reclamation management is carried out. The expediency of using optimization modelling of the allocation of limited financial resources for repair and restoration work using a multi-criteria nonlinear function based on genetic algorithms has been revealed. The following optimization criteria were used when choosing priority facilities for carrying out repair and restoration work: irrigation area, reduction of water losses, financial result of the water management organization. A prototype of the automated control system “Irrigation system water use” has been developed. The goals and objectives of the system are analyzed, and its functional structure is determined. The information flows of the production organization are characterized on the basis of data from a survey of the technical operation of the Krasnogvardeyskaya irrigation system (Republic of Crimea), subordinate to the State Budgetary Institution of the Republic of Crimea “Crimean Department of Water Resources and Land Reclamation”. The software implementation of the subsystem “Technical operation” is carried out and the results of the implementation of the control example are presented. The use of the domestic software product 1C-Enterprise as a technological platform for the development of automated control systems is justified. The functional structure of the application solution is described: the composition of reference books, operational accounting data, reports and data processing. The application solution interface is described, as well as data entry examples and output forms. The use of the 1C GIS Spatial Data Management software solution as an add-on is justified to solve the problem of data visualization related to the planning of technical operation measures, including for the analysis of remote sensing data in the tasks of monitoring the state of irrigation system facilities.

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