Data set from Fischertechnik Smart Factory Model at University of St.Gallen (Custom Python Configuration)

<p>This is about 60 mins worth of data collected from Fischertechnik Industry 9.0V smart factory model available at the University of St.Gallen.</p> <p>In this data set, we used a custom Python-based software stack to control the smart factory via a business process system (Camunda Platform) that calls the functionality of the smart factory via web services implemented in Python flask. MQTT is used to collect the data.</p> <p>Each entry in the file (low-level_log_20230206-140808.txt) corresponds to one message (as JSON object) received on a specific topic via MQTT. Each line contains all the readings of all the sensors, actuators and additional data from <strong>one </strong>CPS component (i.e., production station) at <strong>one </strong>point in time.</p> <p>The data set contains the following files</p> <ul> <li>low-level_log_20230206-140808.txt: low-level IoT data from all the sensors and actuators <ul> <li>*.bpmn: executable BPMN 2.0 models of three different processes that have been executed several times via the Camunda Platform BPM system to control the smart factory</li> </ul> </li> <li>camunda_process-instance.json: event log generated by the BPM system regarding the process instance execution</li> <li>camunda_activity-instance.json: event log generated by the BPM system regarding the activity instance execution</li> </ul> <p>Check the following publications to learn more about our research using the model factory:</p> <p>Malburg, L., Seiger, R., Bergmann, R., &amp; Weber, B. (2020). Using physical factory simulation models for business process management research. In&nbsp;<em>Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain, September 13&ndash;18, 2020, Revised Selected Papers 18</em>&nbsp;(pp. 95-107). Springer International Publishing.</p> <p>Seiger, R., Zerbato, F., Burattin, A., Garc&iacute;a-Ba&ntilde;uelos, L., &amp; Weber, B. (2020, October). Towards iot-driven process event log generation for conformance checking in smart factories. In&nbsp;<em>2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)</em>&nbsp;(pp. 20-26). IEEE.</p> <p>Seiger, R., Malburg, L., Weber, B., &amp; Bergmann, R. (2022). Integrating process management and event processing in smart factories: A systems architecture and use cases.&nbsp;<em>Journal of Manufacturing Systems</em>,&nbsp;<em>63</em>, 575-592.</p>