E3S Web of Conf.
Volume 222, 2020International Scientific and Practical Conference “Development of the Agro-lndustrial Complex in the Context of Robotization and Digitalization of Production in Russia and Abroad” (DAIC 2020)
|Number of page(s)||7|
|Section||Creation and use of Modern Digital, Intelligent, Robotic Systems and Technologies, New Materials and Methods of Construction, Big Data Processing and the Internet of Things in the Agro-Industrial Complex|
|Published online||22 December 2020|
Development of information support for the technological production process of drinks based on plant roughage
1 Kemerovo State University, Kemerovo, Russia
2 Kuzbass State Technical University named after T. F. Gorbachev, Kemerovo, Russia
* Corresponding author: firstname.lastname@example.org
Today, SCADA is the main and advanced method for automated management of complex dynamic systems (processes). Supervisory control of technological processes in various branches of the agro-industrial complex is an essential factor in improving their effectiveness and fulfilling the tasks of increasing productivity, competitiveness, and profitability of production. Due to the introduction of SCADA, the company manages to facilitate and improve the production process. The article deals with an example of supervisory control of the production of a drink based on plant roughages. In order to decrease capital costs and further maintenance costs during automation, the functions of the controller level are united with the operator level, and dispatching functions are combined with the level of the administrative automated process control system. SCADA TRACE MODE was selected as the development framework for the technological process information support of the drink. The structure of the SCADA project and the key screen forms allowing dispatching the technological production process of a drink based on plant roughage were designed.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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