Abstract
New technological solutions led the industrial society to new methods of collecting, processing, storing, and transmitting a large amount of information. This factor is directly related to the fact, that now they are moving away from partial automation of mechanisms to the tasks of combining the entire production process into a single information cycle of control and monitoring. Automated systems for logical control of technological processes were built to perform simple tasks, but with the increase in production capacity, the complexity of control also increased, which led increasing the number of information links and information flows [1-3]. This, in turn, led to the need for modularity, flexibility, expansion of software and logical capabilities, increased fault tolerance, and scalability [4-6]. When such requirements are met, automated production systems are one step closer to "smart production", and for the full implementation of the "Industry 4.0" concept. It is necessary to combine all digital streams and data into a single systematized database for processing Big Data. In KIAM, on the base of the International laboratory "Sensorika" and partners, a processing control system has been developed and implemented, capable to handle large data loops within itself. Specialized application program has been created, that allows simultaneous monitoring of all control actions emanating from the operator, technologist and rigid control logic with the ability to analyze for contradictions, thereby eliminating the occurrence of emergencies, in turn. It allows you to keep the risk of equipment failure at the necessary low level. The role of the operator in this process system is to passively monitor the displayed data, that occurs in the shop in real time, on the monitor, as well as the selection of necessary recipes that are created automatically and stored in the database. In addition to the control system was implemented in software for database, preserving all actions of the operator, as well as storage of recipes and recording new recipes for "intelligent system" monitoring all components and assemblies of the processes.
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CITATION STYLE
Aryskin, A., Grigorev, A., Khelemendik, R., Petrakov, M., Pryanichnikov, V., & Tarasov, R. (2020). System for monitoring control in industrial technological processes. In Annals of DAAAM and Proceedings of the International DAAAM Symposium (Vol. 31, pp. 644–649). DAAAM International Vienna. https://doi.org/10.2507/31st.daaam.proceedings.089
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