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2023 | OriginalPaper | Buchkapitel

Data-Driven Generation of Services for IoT-Based Online Activity Detection

verfasst von : Ronny Seiger, Marco Franceschetti, Barbara Weber

Erschienen in: Service-Oriented Computing

Verlag: Springer Nature Switzerland

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Abstract

Business process management (BPM) technologies are increasingly adopted in the Internet of Things (IoT) to analyze processes executed in the physical world. Process mining is a mature discipline for analyzing business process executions from digital traces recorded by information systems. In typical IoT environments there is no central information system available to create homogeneous execution traces. Instead, many distributed devices including sensors and actuators produce low-level IoT data related to their operations, interactions and surroundings. We leverage this data to monitor the execution of activities and to create events suitable for process mining. We propose a framework to generate activity detection services from IoT data and a software architecture to execute these services. Our proof-of-concept implementation is based on an extensible complex event processing platform enabling the online detection of activities from IoT data. We use a running example from smart manufacturing to showcase the framework.

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Titel: Data-Driven Generation of Services for IoT-Based Online Activity Detection
verfasst von: Ronny Seiger
Marco Franceschetti
Barbara Weber
Verlag: Springer Nature Switzerland
Buch: Service-Oriented Computing
Print ISBN: 978-3-031-48423-0

Electronic ISBN: 978-3-031-48424-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-48424-7_14

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