Forest fire identification method and forest fire identification system

Abstract

The invention discloses a forest fire identification method and a forest fire identification system. The forest fire identification method comprises the steps of analyzing forest zone monitoring images, extracting image features, judging whether the image features conform to features of fire behaviors, and judging that suspected fire points exist if the image features conform to the features of the fire behaviors so that the purpose of identifying forest fire is achieved. Moreover, alarm can be conducted. Monitoring personnel can visually identify images of suspected fire points so as to confirm whether forest fires occur. The method and the system have the forest fire automatic identification function, can automatically alarm the fire behaviors, combines a geographic information system (GIS) to accurately locate the fire points, form images clearly, avoid limitation of original manual observing fire behaviors, realize forest zone management digitization and signification, greatly reduce expenditure and management cost of forestry sectors, and improve efficiency of enterprises in forest areas.

Description

technical field [0001] The invention relates to the technical field of forest fire prevention, in particular to a forest fire identification method and system. Background technique [0002] With the continuous development of afforestation, the area of ​​forest land and the stock of forestry have increased year by year, and fire prevention has become the primary task. Forest fire is one of the important disasters of forestry in the world. There are a certain number of occurrences every year, causing heavy loss of forest resources and global environmental pollution. Forest fires are characterized by suddenness, randomness of disasters, and huge losses in a short period of time. Therefore, once a fire occurs, rescue measures must be taken at an extremely fast speed. Whether the rescue is timely and whether the decision-making is appropriate depends on whether the forest fire behavior is discovered in a timely manner, whether the analysis is accurate and reasonable, and whether...

AI Technical Summary

Problems solved by technology

[0003] However, at present, the detection of forest fire danger still relies on manual observation, resulting in problems such as untimely detection of forest fire and inaccurate judgment of the location of the fire point, which is not conducive to early warning and disaster relief, and has caused great damage to forest resources.

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