This thesis deals with the design of a software library for PLC Siemens S7-1200 usable in programming of robotic cell. The theoretical part explains the principle of PLC programming and the configuration of an industrial robot. The practical part presents the design of the software library and then the individual blocks of the library are described. The library contains blocks for PLC and is also supplemented by blocks for HMI. Using the proposed library reduces the time required for programming. The software library allows the creation of a unified structure of control programs within the company. The result of the diploma thesis is a tested software library usable in the field.

The thesis ,,DC motor control by PLC Simatic S7-1200“ focuses on the control of the DC motor using the programmable automatic machine PLC Simatic S7_1200 CPU1214C, designed by the German company Siemens, generating the PWM signal. The PWM is processed by the integrated circuit called the H-Bridge, which subsequently controls the DC motor.

The master thesis focuses on the design and implementation of data collection from production using a PLC into an SQL database located in the cloud and subsequent visualization. The work describes the applicable communication protocols MQTT and OPC UA with the fact that the protocol MQTT was selected. It deals with securing data transfer from the line to the cloud using the TLS protocol. The individual cloud services and their possibilities for data collection are described here. The work deals with the possibilities of data visualization using existing open source solutions and the differences between them. I describe the possibilities of modifying the open source environment of the Grafany project. Real dashboards from production are presented. The data collection system was deployed in two plants for testing.

The automation of industrial processes has been one of the greatest innovations in the industrial sector. It allows faster and accurate operations of production processes while producing more outputs than old manual production techniques. In the beverage industry, this innovation was also well embraced, especially to improve its bottling processes. However it has been proven that a continuous optimization of automation techniques using advanced and current trend of automation is the only way industrial companies will survive in a very competitive market. This becomes more challenging for small to medium scale enterprises (SMEs) which are not always keen in adopting new technologies by fear of overspending their little revenues. By doing so, SMEs are exposing themselves to limited growth and vulnerable lifecycle in this fast growing automation world. The main contribution of this study was to develop practical and affordable applications that will optimize the bottling process of a SME beverage plant by combining its existing production resources to basic principles of the current trend of automation, Industry 4.0 (I40). This research enabled the small beverage industry to achieve higher production rate, better delivery time and easy access of plant information through production forecast using linear regression, predictive maintenance using speed vibration sensor and decentralization of production monitoring via cloud applications. The existing plant Siemens S7-1200 programmable logic controller (PLC) and ZENON supervisory control and data acquisition (SCADA) system were used to program the optimized process with very few additional resources. This study also opened doors for automation in SMEs, in general, to use I40 in their production processes with available means and limited cost. / School of Computing / M.Tech (Engineering, Electrical)