Abstract:
The article presents a system for collecting and analysing distributed geophysical data
from a sensor network of test ranges with multiple landscapes. The paper presents an architecture and
features of a software for collecting data from sensors and for their intelligent analysis, taking into
account the lack of stable access to the Internet on the territory of the test ranges. The article shows
principles of intelligent system analysis of sensor data designed to use various approaches to create
artificial intelligence systems. Moreover, the process of data exchanging with programs to model
intelligent systems based on multi-agent neurocognitive architectures is described. In addition, the
structure of a website and database of a service for collecting and processing data are presented.
Keywords:distributed sensor network, intelligent data processing, multi-agent systems,
neurocognitive architectures, test ranges with multiple landscapes, data forecasting, wireless sensor
networks, geophysical data