A modular system for smart energy plug stream analysis

Examensarbete för kandidatexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/243909
Download file(s):
File Description SizeFormat 
243909.pdfFulltext871.19 kBAdobe PDFView/Open
Type: Examensarbete för kandidatexamen
Bachelor Thesis
Title: A modular system for smart energy plug stream analysis
Authors: GROTH, JONAS
FORSBERG, ERIK
JINTON, JOHAN
TANNERUD, IVAN
ERIKSSON, ISAK
LUNDGREN, ANTON
Abstract: This report documents the development of a system capable of gathering energy consumption data from multiple different brands of smart energy plugs. The problem today is that firstly the manufacturers’ software is not general and provides a limited set of functions. For example, one brand’s software may provide forecasting of energy consumption while another does not. Secondly, it is not possible to use different brands of plugs together. The system presented in this report consists of a plug data parser, a message broker and a data processing engine. The plug data parser can gather data from one or multiple different brands of energy plugs at once. Using a message broker opens the possibility to gather data from a large number of plugs at the same time and in real-time. A data processing engine enables processing of the data through which use cases are implemented. It provides functions such as calculation of a moving average for the energy consumption, the total power consumption for all plugs and provides alerts for the energy consumption. Lastly, it provides a foundation to forecast future consumption. The resulting system is capable of processing more than 500 plug readings per second in real time, from two different plug brands.
Keywords: Informations- och kommunikationsteknik;Data- och informationsvetenskap;Information & Communication Technology;Computer and Information Science
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/243909
Collection:Examensarbeten för kandidatexamen // Bachelor Theses



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.