An Application of Cloud Computing Based Industrial Internet of Things for Generator System

OpenAlex English

With the transformation of Industry 4.0, the current understanding of production in the industry is being reshaped together with information technologies. Internet of things and cloud computing are the most important components of this transformation. In this study, the generator system producing electricity as a simulation of an industrial system was used as the main system. 3-phase driven by an internal combustion engine, AC alternator voltage, current, frequency, alternator temperature and so on, and for the internal combustion engine that provides mechanical drive, oil / water pressure, oil / water temperature, fuel level, etc. The electrical and physical quantities are measured by means of PLC and sensors. It is provided to monitor this measurement data of the generator system both locally via HMI screen and computer screen and as a remote point in Web-based format. RS485 standard has been used together with MQTT protocol which is becoming more and more widespread nowadays and Modbus protocol which is used frequently in industrial systems in both physical and electrical measurements for user viewing and transfer to cloud information system. The measurement data were recorded in the Azure cloud computing system for the performance evaluation of the diesel fuel generator. Firstly, user interface was developed in Node-Red software running on Raspberry Pi. And as a second method, the same application structure is provided with a user interface created on Labview software running on Windows based operating system. In addition, real-time measurement analysis is provided by monitoring data remotely via the PowerBI internet platform.