Cross-CPP - An ecosystem for provisioning, consolidating, and analysing big data from cyber-physical products
| Autor: | Correia, A., Wolff, C., Herrmann, E. A., Corral, V., Kachelmann, M., Zanin, M., Menasalvas, E., Delong, R., Pavel Smrz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | 1st Workshop on Cyber-Physical Social Systems (CPSS2019), | 1st Workshop on Cyber-Physical Social Systems (CPSS2019), | October 22, 2019 | Bilbao, Spain Scopus-Elsevier |
| Popis: | It is expected that with the increasing number of connected sensors and actuators within mass products, the large spectrum of sensor data coming from high volume products in various industrial sectors (vehicles, smart home devices, etc.) will rise in short-term. This enormous amount of data continuously generated by CPPs will represent (1) a new information resource to create new value, allowing the improvement of existing services or the establishment of diverse new cross-sectorial services, by combining data streams from various sources, and (2) a major big data-driven business potential, not only for the manufacturers of Cyber Physical Products (CPP), but in particular also for cross-sectorial industries as well as various organisations with interdisciplinary applications. In spite of major advances in the field, several challenges still hinder the use of these data, like the lack of, or only few, CPP ecosystems that are in the best-case manufacturer specific and not open for external companies interested in using such data. We present here a solution that envisions to establish a CPP Big Data Ecosystem to bring to the outside world CPP data from various industrial sectors, brand independent, allowing for external service providers that use CPP data from this unique CPP data access point (as well as from other sources) to develop cross-sectorial services. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|