Integrating IoT-Driven Events into Business Processes

被引:4
|
作者
Kirikkayis, Yusuf [1 ]
Gallik, Florian [1 ]
Seiger, Ronny [2 ]
Reichert, Manfred [1 ]
机构
[1] Ulm Univ, Inst Databases & Informat Syst, Ulm, Germany
[2] Univ St Gallen, Inst Comp Sci, St Gallen, Switzerland
关键词
Internet of Things; Event-driven Systems; Business Processes; Decision Modeling; METHODOLOGY; INTERNET; THINGS; BPMN;
D O I
10.1007/978-3-031-34674-3_11
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Extending Business Process Management (BPM) with Internet of Things (IoT) enhances process automation, improves process monitoring, and enables decision making based on data from the physical world. In this context, the transformation of low-level IoT data to process-level IoT-driven events constitutes an important step. However, the modeling of these transformations is challenging due to the complexity of IoT environments. Contemporary approaches do not provide sufficient support to model these transformations. Process models either become too complex with increasing numbers of devices and transformations, or this logic is externalized and viewed as a black box. This paper presents an integrated approach to model IoT-driven events in processes based on a BPMN 2.0 extension and a tool that adopts concepts from DMN. A scenario from smart production is used to demonstrate the application and improved integration of IoT-driven events in processes.
引用
收藏
页码:86 / 94
页数:9
相关论文
共 50 条
  • [31] An IoT-Driven Smart Cafe Solution for Human Traffic Management
    Prithivirajan, Maruthi
    Shim, Kyong Jin
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 6186 - 6188
  • [32] Problem Domain Analysis of IoT-Driven Secure Data Markets
    Horvath, Mate
    Buttyan, Levente
    SECURITY IN COMPUTER AND INFORMATION SCIENCES, EURO-CYBERSEC 2018, 2018, 821 : 57 - 67
  • [33] IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model
    Swaminathan, Bhuvaneswari
    Palani, Saravanan
    Vairavasundaram, Subramaniyaswamy
    Kotecha, Ketan
    Kumar, Vinay
    IEEE CONSUMER ELECTRONICS MAGAZINE, 2023, 12 (02) : 109 - 117
  • [34] IoT-Driven Digital Twin for Improved Product Disassembly in Remanufacturing
    Garrido-Hidalgo, Celia
    Roda-Sanchez, Luis
    Ramirez, F. Javier
    Olivares, Teresa
    ADVANCES IN REMANUFACTURING, IWAR 2023, 2024, : 281 - 291
  • [35] IoT-driven Lean Manufacturing: a bibliometric analysis of the emerging literature
    Jesus, Rodriguez-Martin
    Patxi, Ruiz-de-Arbulo-Lopez
    DIRECCION Y ORGANIZACION, 2024, 83 : 43 - 52
  • [36] Development of an IoT-Driven Building Environment for Prediction of Electric Energy Consumption
    Bedi, Guneet
    Venayagamoorthy, Ganesh Kumar
    Singh, Rajendra
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (06) : 4912 - 4921
  • [37] A Social IoT-driven Pedestrian Routing Approach during Epidemic Time
    Khanfor, Abdullah
    Friji, Hamdi
    Ghazzai, Hakim
    Massoud, Yehia
    2020 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2020, : 123 - 128
  • [38] Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities
    Kamruzzaman, M. M.
    Yan, Bingxin
    Sarker, Md Nazirul Islam
    Alruwaili, Omar
    Wu, Min
    Alrashdi, Ibrahim
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022
  • [39] A knowledge-based approach to the IoT-driven data integration of enterprises
    Mahmoodpour, Mehdi
    Lobov, Andrei
    RESEARCH. EXPERIENCE. EDUCATION., 2019, 31 : 283 - 289
  • [40] IoT-Driven Microseismic Sensing System and Monitoring Platform for Landslide Detection
    Indukala, P. K.
    Gosh, U. G.
    Ramesh, Maneesha Vinodini
    IEEE ACCESS, 2024, 12 : 97787 - 97805