Scania aimed to enhance the real-time data visualization, automation, and decision making within its smart factory by implementing IO-Link device data into its Ignition SCADA (Su-rvisory Control and Data Acquisition) system. In this case study, the IF6123 inductive sensor was examined in order to determine how effectively MQTT protocol and Edge Com-puting provide the necessary data communication and processing from the factory floor up. For gapless communication, the IF6123 sensor which has IO-Link capability was integrated through MQTT to efficiently communicate with Ignition SCADA with low latency. This configuration assured the efficient data transfer while guaranteeing the interoperability with the current industrial automation systems.

Furthermore, Edge Computing was used for data analysis and processing at the local level to reduce latency, consumption of bandwidth and reliance on the cloud to improve the system’s efficiency. Several major advantages were identified in using the Inductive Sensor IF6123 in this application. Data connectivity was established easily because real-time data was sent to Ignition SCADA through MQTT protocol. The company enhanced its performance by data processing at the local level for quick decision making and better automation. Stronger system robustness guaranteed the continuity of operations during network failures due to Edge Computing [1]. Also, the integration of real-time condition monitoring and anomaly detection for predictive maintenance led to decreased downtime and better maintenance strategies.

Thus, the Inductive Sensor IF6123 was chosen as a representative of devices that support the IO-Link interface and are connected to the Ignition SCADA system via MQTT and Edge Computing. This way, the benefits of a more intelligent, integrated and effective manufacturing environment have been well-emphasized and in line with the concepts of Industry 4.0.