The article focuses on the development of a web portal for monitoring and forecasting atmospheric air quality in the Khabarovsk Territory. The study analyzes existing solutions in the field of environmental monitoring, identifying their key shortcomings, such as the lack of real-time data, limited functionality, and outdated interfaces. The authors propose a modern solution based on the Python/Django and PostgreSQL technology stack, which enables the collection, processing, and visualization of air quality sensor data. Special attention is given to the implementation of harmful gas concentration forecasting using a recurrent neural network, as well as the creation of an intuitive user interface with an interactive map based on OpenStreetMap. The article provides a detailed description of the system architecture, including the backend, database, and frontend implementation, along with the methods used to ensure performance and security. The result of this work is a functional web portal that provides up-to-date information on atmospheric air conditions, forecast data, and user-friendly visualization tools. The developed solution demonstrates high efficiency and can be scaled for use in other regions.

Keywords: environmental monitoring, air quality, web portal, forecasting, Django, Python, PostgreSQL, neural networks, OpenStreetMap

The main problem is to determine the bandwidth of the power cable system (PCS) through monitoring of the thermalfluctuation processes cable. Investigated the temperature field in the cross section of the cable in accordance with the theory of heat conduction. The results of studying the thermal conductivity of the PCS. In Matlab, using the system equations Fourier transform in the cylindrical coordinate system is built, the temperature gradient in the cross section of the cable and the environment. On the basis of the thermalfluctuation theory to examine the process of destruction of insulation by thermal vibrations of the atoms, with the partial discharges (PD). The study of failure-free operation of the insulating material PCS. Determined the probability of occurrence of the CR in dependence on influencing factors (temperature, insulation, number and size of inclusions). The distribution of the probability of occurrence of the CR in dependence on a value of density inhomogeneities insulation (y) and the energy of rupture of chemical bonds (D).

Keywords: forecasting, aging of insulation, partial discharges, thermalfluctuation theory