System control technology water use using methods artificial intelligence and models – double organizations

Improving water efficiency is closely linked with the use of innovative information and technologies to support management decisions in land reclamation projects. The aim of this study is to validate a promising approach for managing water use in inter-farm irrigation systems using artificial intelligence techniques and twin models. Methodological approaches to creating a unified and automated management system are based on the optimization of management decisions made in conditions of incomplete and uncertain information, as well as the necessity to process large volumes of data. The analysis of the theoretical and practical aspects of managerial decision-making has been conducted, and principles for the creation of an automated irrigation management system using artificial intelligence and dual organizational models have been formulated. Priority areas for enhancing the management impact have been identified, and a functional and structural design of the automated control system "Water Use" and algorithms to support management decisions have been developed. A system of models has been developed to optimize water distribution in conditions of water scarcity, and to forecast the technical status of water supply networks and infrastructure. It also manages the financial and economic performance of operations, as well as auxiliary and service functions. The composition and structure of the database and knowledge for the automated control system, "Water Use", have been determined. Automation and optimization of decision making based on diagnostic analysis of current issues, a range of possible solutions, and informational and technological support for specialists involved in preparation and decision making, will ensure enhanced efficiency and quality in control activities.