@inproceedings{8b9257c395884c419bc3db82c5b41dbb,
title = "Building Robust Information Systems For Remote Sensing Data Management",
abstract = "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.",
keywords = "asynchronous data processing, JavaScript visualization, Python, robustness, time series, WEB REST API",
author = "Osipovs, \{P. A.\} and M. Fraimans and D. Bliznuks and M. Kovalovs",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2023 ; Conference date: 05-10-2023 Through 06-10-2023",
year = "2023",
doi = "10.1109/ITMS59786.2023.10317685",
language = "English",
series = "2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Janis Grabis and Andrejs Romanovs and Galina Kulesova",
booktitle = "2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2023 - Proceedings",
address = "United States",
}