MODELS AND ALGORITHMS FOR COLLECTING INFORMATION TO FORM THE DATABASE OF THE FOREST FIRE MONITORING SYSTEM
The article describes the technology for collecting and storing officially published data on forest fires that occurred on the territory of the Russian Federation in recent years. The paper analyzes the current state of the subject area and assesses the relevance of the problem posed. By results of the analysis the problems arising at suppression of forest fires on territories remote from places of deployment of forces of the Ministry of Emergency Measures are revealed, the hypothesis about expediency of conducting monitoring of territory of fire and creation of its digital duplicate is formulated. Information from open sources of data on forest plantations was collected. The analysis of data on forests in regions of the Russian Federation is made and the geobotanical typology traditional for the country is presented. The classification of forest fires by speed of spread and nature of ignition is given. The structure of publication of data on forest fires in open sources, in particular on the site of the Federal Budget Institution “Central base of aviation forest protection” was studied. On the basis of the analysis a typical algorithm was developed and a program to extract data from the pages of the site was implemented. The information model of the system has been developed and used to create a database to store information retrieved from open sources. The developed models and algorithms allowed us to effectively collect data for further implementation in the system of monitoring and forecasting the spread of forest fires.