Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture

Nadeem Iftikhar, Bartosz Piotr Lachowicz, Akos Madarasz, Finn Ebertsen Nordbjerg, Thorkil Baattrup-Andersen, Karsten Jeppesen

Publikation: Bidrag til bog/antologi/rapportKonferenceartikel i proceedingpeer review


Smart manufacturing technologies (Industry 4.0) as solutions to enhance productivity and improve efficiency is a priority to manufacturing industries worldwide. Such solutions have the ability to extract, integrate, analyze and visualize sensor and data from other legacy systems in order to enhance the operational performance. This paper proposes a solution to the challenge of real-time analysis and visualization of sensor and ERP data. Dynamic visualization is achieved using a machine learning approach. The combination of real-time visualization and machine learning allow for early detection and prevention of undesirable situations or outcomes. The prototype system has so far been tested by a smart manufacturing company with promising results.
TitelProceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA
RedaktørerSlimane Hammoudi, Christoph Quix, Jorge Bernardino
Antal sider8
ForlagSCITEPRESS Digital Library
ISBN (Elektronisk)978-989-758-440-4
StatusUdgivet - 2020