Architecture and task analysis of Ambient Intelligence systems within the Smart Environment field of study.

Gerasimos Drakontaeidis Dellaportas

Bachelor's thesis

Abstract:

This thesis examines the advantages that Ambient Intelligence systems provide within the Smart Environment field of study, their structure and architecture as well as the reasons behind why certain components are used. The theoretical part consists of analysis of various software used in the development of Ambient Intelligence systems, methods used in a Smart Environment by which the system gathers ambient information such as individual sensors or sensor networks as well as means of communication between the sensors, basic modelling and decision making on system-side and parameters by which the decisions are made.The practical part of the thesis contains the design of an Ambient Intelligence system that automatically grows vegetation without the immediate involvement of the human factor by utilizing a sensor network, custom-made software and custom-made decision algorithms. The parameters by which a certain strain of vegetation thrives and grows are a given. The proposed system accepts those parameters and monitors the Smart Environment through its sensor network at all times. When a single parameter is off the predetermined setting, the system will make the decision to make corrective movements, such as add more water or change the luminosity cycle of the plant. The three most important components of such a system are, the sensor network, the software suite which the decision algorithms will be implemented and finally the knowledge rules according to which the system will be based upon. In order to obtain the most reliable results for this thesis, the theoretical background given in the theoretical part of the thesis is closely followed in the implementation of the practical part.

Keywords

sensor, ambient intelligence, smart environment, sensor network, knowledgebase

Language used: English

Date on which the thesis was submitted / produced: 21. 3. 2020

Thesis defence

• Supervisor: Ing. Jan Tyrychtr, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme / field:
Systems Engineering and Informatics / Informatics