Implementación de una aplicación de Internet Industrial de las Cosas para la integración de tecnologías de comunicación heterogéneas de un sistema multi-tanque

Abstract

In the current environment of the production and manufacturing sector, industries face di↵erent challenges, such as technological improvement, the competition amongst manufacturers in the market and the Internet of Things (IoT) going worldwide. In order to deal with this, the industry evolves and reinvents itself, thus conceiving the 4.0 Industry and the Industrial Internet of Things (IIoT). It is key for IIoT to constantly work on the integration of heterogeneous technologies, since the industry hardly implements solutions using equipment from the same manufacturer or supplier. This will allow the industry to optimize its manufacturing processes, achieve greater flexibility and generate stronger value proposals for users or customers. In this context, this work proposes the implementation of an IIoT application that allows the integration of heterogeneous communication technologies, using laboratory equipment from the University of Cuenca for the automation of a multi-tank system. This application integrates a variety of hardware, from high-end equipment such as the Simatic Siemens S7-1500 programmable logic controller (PLC) to low-cost equipment such as the Controllino Maxi Automatization PLC, through the development of an Open Platform Communications with Unified Architecture industrial server (OPC-UA) and mostly free software. The OPC-UA server allows the integration of the IIoT application with the control and supervision systems of the plant. The proposed architecture is based on Computer Integrated Manufacturing (CIM), from a virtualization of the Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) layers by means of an IIoT solution. The IIoT solution enables total interaction with the plant, from monitoring systems implemented in dashboards, data storage in a local database and in the cloud, chat consultation systems and fault detection services using machine learning; all executed in parallel and in isolation. The purpose of this project is to exploit the capabilities of the equipment used and enhance the results by implementing innovative solutions in the field of telecommunications