Reference for citation: Zaharov V. V. Basics of automation of proactive monitoring processes of generalized states of complex agrobiotechnical objects. Journal of Instrument Engineering. 2024. Vol. 67, N 11. P. 918–927 (in Russian). DOI: 10.17586/0021-3454-2024-67-11-918-927.

Abstract. As a basic concept for automating the processes of monitoring the functioning of complex agrobiotechnical objects (CABO), a transition from a reactive approach to a proactive one is proposed. Methodological foundations are proposed for automating the process of solving the problem of multi-criteria synthesis of control programs for proactive monitoring of generalized states of CABO and integrated ACS (IACS) as a process of managing the corresponding developing situation, which includes the subjects of modeling, the original object, its model, the external environment, as well as dynamic binary relations arising during their interaction. The purpose of developing the methodological foundations is to increase the efficiency of detection, localization and prevention of emergency situations. Based on the concepts of system modeling, proactive management, invariance of computational, modeling and real processes, as well as intellectualization of management, a system of interrelated fundamental principles is developed that takes into account the multi-aspect nature of the functioning of the CABO and the CABO IACS as a whole, including reflecting the relationships that were not taken into account in previous studies - between the generalized state of the computational process and the degree of interoperability. The developed concepts and fundamental principles make it possible to correctly substantiate and automate the selection of the most preferred intelligent technologies and systems for proactive monitoring of generalized states of the CABO at all stages of their life cycle, as well as to increase the indicators of efficiency and reliability of management decisions, as well as the development of appropriate recommendations that ensure increased efficiency and quality of functioning of the objects and systems under consideration in the given conditions.

Keywords: digital agriculture, complex agrobiotechnical objects, automation and intellectualization of monitoring processes, proactivity, interoperability

Acknowledgement: the study was supported by the Russian Science Foundation grant No. 24-19-00823, https://rscf.ru/project/24-19-00823/.

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