Integration of Heterogeneous Devices through an Industrial IoT Architecture for Data Centralization and Cloud Processing in Industry 4.0 Applications

Current Industrial Digitalization systems face challenges regarding the interoperability of their technological equipment and the acquired data, due to the coexistence of devices from different vendors, communication technologies, and functionalities. In response to this issue, the present project proposes the development of a data acquisition, logging, and processing system aimed at Industry 4.0 applications, enabling the centralization of variables acquired from heterogeneous technologies such as a Programmable Logic Controller (PLC) and an Industrial Robotic Arm. The hardware architecture of the implemented system consists of the EPSON C12 Industrial Robotic Arm, the EPSON RC700A robot controller, the Siemens LOGO! 12/24 RCE PLC, an IoT Gateway embedded in a Raspberry Pi 4 mini-computer, and a TL-WR840N router. The twelve variables acquired by the developed technological architecture include: six joint variables, four end-effector coordinates in millimeters ($\mathrm{X}, \mathrm{Y}, \mathrm{Z}, \mathrm{U}$) of the robotic arm, and the temperature and humidity data captured by the PLC. To interconnect the devices, HTTP, MQTT, and S7 communication protocols were used. The development environments for the data acquisition and transmission routines included Epson RC+, LOGOSoft, Node-RED, and the Amazon Web Services (AWS) cloud platform. For performance testing of the proposed technological architecture, the system was integrated into the Industrial Robotics Laboratory, where approximately 12,600 data points were autonomously captured, remotely monitored, and stored in a cloud-based database.