Internet of Things
At the Faculty of Computer Science, research is being conducted in fields that are related to the broader domain of the Internet of Things (IoT), including the collection and processing of environmental data.
A particular focus and a practical aspect of the conducted IoT-related research are advanced environmental condition monitoring systems. The overarching goal of the research at the department is to support environmental initiatives and energy transformation, with a specific focus on supporting distributed energy systems and contributing to improving the air quality in southern Poland.
Some examples of solutions for collecting, storing, and processing large amounts of data are the collaborative state-of-the-art proprietary systems called DataHub and EnvGuard; both systems were developed by individuals from the Faculty of Computer Science. The DataHub and EnvGuard systems are versatile but can also be tailored to various use cases; they have been implemented in scenarios that monitor environmental conditions and energy resources.
Presentation of environmental condition monitoring systems and DataHub system as part of KlastER project:
https://www.youtube.com/watch?v=QMDCJV4WetM&t=6320s
KlastER project website:
An earlier IoT project that was carried out from 2016 to 2019 by individuals from the Faculty of Computer Science was FogDevices. The project focused on a modern approach to comprehensive and universal IoT systems, incorporating artificial-intelligence algorithms.
Project information page: https://home.agh.edu.pl/~tszydlo/fogdevices.agh.edu.pl/badania
Between 2013 and 2016, individuals from the Faculty of Computer Science also worked on a project that was aimed at conducting research on the development of a comprehensive monitoring system for the static and dynamic states of earthen flood embankments on a continuous basis. This project enabled us to simulate structural changes and estimate the risks of damage.
Project website: https://ismop.ki.agh.edu.pl/pl
keywords: IoT, fog computing, edge computing, wireless sensor networks, data acquisition, embedded systems
