Automation of Proactive Monitoring Processes of Complex Agrobiotechnical Objects

This article is concerned with the approach to the development of an automation system for monitoring complex agrobiotechnical objects (CABO) involving a transition from reactive to proactive methodologies. The paper examines created methodological foundations for automating the multi-criteria synthesis of control programs for proactive monitoring of CABO and integrated Automated Control Systems (IACS). The proposed approach considers monitoring as a process of managing a developing situation, including modeling subjects, the target object, its digital twin, the external environment, and dynamic binary relationships resulting from their interaction. The methodology is aimed at improving the detection, localization and prevention of emergency situations. Specifically, based on the theory of integrated modeling, principles of proactive management and control, concepts of invariance of processes (computational, modeling and real) and paradigms of intelligent control, an integrated system of fundamental principles is designed to explain the multidimensional nature of CABO/IACS operations, including previously unexplored relationships between computational process states and levels of interoperability.