RESEARCH OF THE PRODUCTION CYCLE OF AUTOMATION OF TECHNOLOGICAL PROCESSES IN DECENTRALIZED SYSTEMS

Abstract

In modern industrial production, the optimization of technological process management is of critical importance due to the increasing complexity of production systems and higher requirements for product quality. Within the framework of Kazakhstan’s Industrial-Innovative Development Program 2020–2025, the implementation of new automation methods, decentralized control systems, and the enhancement of production efficiency is a priority. The objective of this study is to develop and implement effective methods for managing technological processes using decentralized automated systems with the Trace Mode 6 software environment. The main tasks include comprehensive analysis of the production cycle; identification of ways to increase the efficiency of subsystems; modeling multi-stage processes; developing algorithms for managing emergency events and alarms; and integrating new solutions into existing control systems. The results demonstrated that decentralized control systems improve equipment reliability, reduce downtime, optimize information flows, and enhance product quality. The use of explicit decomposition methods ensures effective interaction between subsystems, achieving a synergistic effect in managing complex production processes. Tools within Trace Mode 6, such as alarm recorders and notification systems, enable preventive maintenance planning and rapid response to emergency situations. The conclusion confirms the prospects of decentralized control systems and their applicability in Kazakhstan’s industry and abroad. The study shows the potential for scalability and integration with modern information technologies, opening opportunities for further optimization of production processes, increasing their efficiency and reliability.