Digital transformation of irrigation system performance management

The paper presents the results of an analysis of the current state of research in the field of technical operation of irrigation systems and the introduction of information support systems in the management of land reclamation activities. The relevance and expediency of using optimization modeling for planning investments for repair and restoration work in stressful natural and economic conditions are substantiated. A multi-criteria nonlinear function based on genetic algorithms is proposed as an optimization tool. The optimization criteria are selected: maxima of the irrigation area under command, reduction of water losses and income of the water management organization, planned from improving the technical condition of the facilities in operation. To implement an optimization model for managing the technical condition of the irrigation system, an automated system for planning repair and restoration activities of the automated control system “Technical Operation” has been developed and the results of its testing are presented. The goals and objectives of the system are analyzed, and its functional structure is determined. The information flows are investigated using the example of the Krasnogvardeyskaya irrigation system in the Crimea. The use of the 1C-Enterprise server shell software product as a technological platform for automated control system development is substantiated. The functional structure of the application solution is described, including reference books, operational accounting data, data processing algorithms and reports. The system interface, data entry examples, and output forms are provided. The use of GIS for visualization of information on planning activities for technical operation and analysis of remote sensing data is justified. It is established that the use of automated control systems for the implementation of optimization models for managing the technical condition of the irrigation system contributes to increased operational efficiency, reduced costs and increased competitiveness of the operating organization.