Building Robust Information Systems for Remote Sensing Data Management

2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2023): Proceedings 2023
Pāvels Osipovs, Mihails Fraimans, Dmitrijs Bļizņuks, Mihails Kovaļovs

The article describes the experience of building an information system for collecting and processing data from remote sensors. The specificity of the organization of a local system that provides storage, visualization [1] and processing of data from a certain set of external sensors is considered. Both the general architecture of the system and its modules are described, which provide a local graphical user interface, asynchronous data collection, visualization, notifications about reaching unacceptable values by the sensor, and processing of sensor data. The structure of interaction of the system with an external WEB-site through the implementation of the REST API [2] is shown. The issues of software emulation of sensors and risk management were also touched upon. © 2023 IEEE.

Keywords
asynchronous data processing; JavaScript visualization; Python; robustness; time series; WEB REST API
DOI
10.1109/ITMS59786.2023.10317685
Hyperlink
https://ieeexplore.ieee.org/document/10317685

Osipovs, P., Fraimans, M., Bļizņuks, D., Kovaļovs, M. Building Robust Information Systems for Remote Sensing Data Management. In: 2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2023): Proceedings, Latvia, Riga, 5-6 October, 2023. Piscataway: IEEE, 2023, pp.1-6. ISBN 979-8-3503-7030-0. e-ISBN 979-8-3503-7029-4. ISSN 2771-6953. e-ISSN 2771-6937. Available from: doi:10.1109/ITMS59786.2023.10317685

Publication language
English (en)