A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Big data in emission producing manufacturing industries – An explorative literature review




TekijätEsa Hämäläinen, Tommi Inkinen

ToimittajaC. Ellul, A. Abdul Rahman, V. Coors, S. Zlatanova, R. Laurini, M. Rumor

Konferenssin vakiintunut nimiInternational Conference on Smart Data and Smart Cities

Julkaisuvuosi2019

JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Kokoomateoksen nimi4th International Conference on Smart Data and Smart Cities (Volume IV-4/W9)

Sarjan nimiISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

VuosikertaIV-2/W8

Aloitussivu57

Lopetussivu64

ISSN2194-9042

eISSN2194-9050

DOIhttps://doi.org/10.5194/isprs-annals-IV-4-W9-57-2019

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/42189449


Tiivistelmä

Data management and intelligent systems provide new possibilities and
trajectories for environmentally robust industrial production. Global
climate change has evoked a number of fresh studies on data management,
openness and environmental innovation. This literature review approaches
current academic research focusing on big data, industry, and
emissions. The paper is based on key word searches that returned
publications from high-class scientific journals dedicated to this
particular topic. The article reading illustrates that big data is
utilised in various industries, and explores a large variety of
polluting substances. The authors argue that innovative and insightful
new ways of using big data provide tools for emission monitoring and
clean technology utilisation. The diversity in the analysed articles
proves the complexity of market operations and corporate responsibility.
The paper concludes in addressing the need of using and combining data
resources, particularly at the industry unit level, in order to develop
more efficient tools for environmental monitoring and decision making.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 21:17