Forest fire online monitoring and early warning management system based on artificial intelligence

Abstract

The invention discloses a forest fire on-line monitoring and early warning management system based on artificial intelligence, and the system comprises the steps: analyzing the topographic factor influence proportionality coefficient of each to-be-monitored forest sub-region through detecting each topographic parameter value of each to-be-monitored forest sub-region; monitoring each related parameter and lightning intensity index of trees in each forest sub-region to be monitored, comprehensively calculating a natural fire pre-estimation incidence coefficient of each forest sub-region to be monitored, and comparing the natural fire pre-estimation incidence coefficient with a set forest natural fire pre-estimation incidence coefficient; and screening each to-be-monitored forest sub-region greater than the set forest natural fire pre-estimation occurrence rate coefficient, and enabling the corresponding to-be-monitored forest sub-region number to be subjected to early warning reminding, so that the personnel can have enough time to take effective prevention measures, the forest ecological structure is effectively protected, and life and property safety of people around the forest is guaranteed.

Description

technical field [0001] The invention relates to the field of forest fire monitoring and early warning, and relates to an artificial intelligence-based forest fire online monitoring and early warning management system. Background technique [0002] Dozens of forest fires occur every year in our country, causing serious ecological damage and economic losses, and most of the fires are caused by spontaneous combustion in forests and burning caused by lightning. Therefore, it is of great practical significance to actively and effectively monitor, warn and prevent forest fires. [0003] At present, the existing forest fire monitoring and early warning management system has the following deficiencies: [0004] The existing forest fire monitoring and early warning management system mainly uses forest guards to control UAVs for periodic patrol monitoring, but this monitoring method is easily affected by forest terrain and meteorological conditions, resulting in abnormal forest monit...

AI Technical Summary

Problems solved by technology

[0004] The existing forest fire monitoring and early warning management system mainly uses forest guards to control UAVs for periodic patrol monitoring, but this monitoring method is easily affected by forest terrain and meteorological conditions, resulting in abnormal forest monitoring data transmission, which affects forest fires. monitor the proper functioning of the system;

[0005] At the same time, this monitoring method can only monitor the forest fire situation after the fire occurs, and it cannot realize the early warning of the possible occurrence of forest fires before the fire occurs, which leads to the inability to take effective preventive measures against forest fires in time, and seriously damages the forest ecological structure. It poses a great threat to the life and property of the people around the forest;

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