Forestry fire dynamic-prediction method based on patrolling and protection terminals

Abstract

The invention discloses a forestry fire dynamic-prediction method based on patrolling and protection terminals. Forest rangers hold meteorological collection equipment by hands to perform data timing collection, collected data are transmitted to APPs of intelligent mobile phones through Bluetooth to parse the data, and the forest rangers input a phonological phenomenon discrimination coefficient according to a standard; terminal systems send the terminal collected data to a fire danger class prediction system through the internet, boundaries of area management are input in advance on the fire danger class system according to forest rangers' responsibility patrolling areas, terrain-based meteorological element interpolation is performed according to adjacent forest rangers' fire danger meteorological information, a fire danger is predicted according to the designated responsibility areas, a map is marked and drawn, and a fire danger class is issued; and the forest workers are positioned through a GPS, and the fire danger classes of areas where the forest workers are located are issued to the forest ranger terminals. The method enables a fire prevention office to know the meteorological fire danger class of each responsibility area of a managed forestry area well, and a precaution in advance aiming at a fire emergency condition of a high fire danger area can be made.

Description

technical field [0001] The invention relates to the technical field of forest fire prevention, in particular to a dynamic prediction method of forest fire danger based on patrol terminals. Background technique [0002] The occurrence and development of forest fires are closely related to meteorological conditions. Forest fire risk is a measure of the possibility and spread of forest fires. The construction of forest fire risk level indicators must fully consider the role of meteorological factors. Forest fire risk forecasting is inseparable from Open real-time observation of meteorological elements and forecasting of meteorological elements. The main duty of forest patrol personnel is to detect fires and predict fires. Traditionally, the forest rangers' experience is used to judge, or the weather stations are used to judge the fire danger level of forest areas as a whole. [0003] The classification of forest fire danger weather grades is based on the industry standard LYT1...

AI Technical Summary

Problems solved by technology

[0006] 1. Based on the existing meteorological observations and fire risk forecasts of automatic weather stations, since there are few fixed meteorological observation stations in mountainous areas, the environment in mountainous areas is complex, and meteorological factors vary with terrain, altitude, and forest locations, and there are not enough representative ones. There is a permanent weather station monitoring site, and the microclimate in the forest has great changes with the observation station data. This kind of prediction cannot reflect the fire danger level of the forest ranger's area of ​​responsibility;

[0007] 2. Based on the weather monitoring of handheld terminals, there are many communication blind spots in key forest areas, resulting in the failure of signal transmission;

[0008] 3. "⑤ Influence correction index of biotic and abiotic phenological seasons during the forest fire prevention period", the equipment cannot be judged

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