Next Article in Journal
Using a Citizen Science Approach with German Horse Owners to Study the Locomotion Behaviour of Horses on Pasture
Next Article in Special Issue
Development of an Assessment Method for Evaluation of Sustainable Factories
Previous Article in Journal
Does Culture of Origin Have an Impact on Online Complaining Behaviors? The Perceptions of Asians and Non-Asians
Previous Article in Special Issue
A Study on the Relationship between Paradox Cognition, Green Industrial Production, and Corporate Performance
Open AccessArticle

An Innovative Industry 4.0 Cloud Data Transfer Method for an Automated Waste Collection System

Faculty of Industrial Engineering and Robotics, Department of Robots and Manufacturing Systems, University Politehnica of Bucharest, 060042 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(5), 1839; https://doi.org/10.3390/su12051839
Received: 30 December 2019 / Revised: 13 February 2020 / Accepted: 26 February 2020 / Published: 29 February 2020
(This article belongs to the Special Issue Industry 4.0 and Industrial Sustainability)
Moving to Industry 4.0 involves the collection of massive amounts of data and the development of big data applications that can ensure a quick data flow between different systems, including massive amounts of data and information collection from smart sensors, and sending them to cloud applications that allow real-time data monitoring and processing. Securing and protecting the transmitted data represents a big issue to be discussed and resolved. In the paper, we propose a new method of data encoding and encryption for cloud applications using PNG format images. The proposed method is described in comparison with one of the classical methods of data encoding and transmission used currently. The paper includes a case study in which the proposed method was used to collect and transmit data from an automated waste collection system. The results show that the proposed method represents a secure, fast and efficient way to send and store the data in the cloud compared to the methods currently used. The proposed method is not limited to being used only in waste management but can be used successfully for any type of manufacturing system from smart factories. View Full-Text
Keywords: Industry 4.0; database; waste management; cloud; smart sensors; Industrial Internet of Things Industry 4.0; database; waste management; cloud; smart sensors; Industrial Internet of Things
Show Figures

Figure 1

MDPI and ACS Style

Cotet, C.E.; Deac, G.C.; Deac, C.N.; Popa, C.L. An Innovative Industry 4.0 Cloud Data Transfer Method for an Automated Waste Collection System. Sustainability 2020, 12, 1839.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop