Forestry fire prevention intelligent inspection monitoring and early warning system based on big data

Abstract

The invention discloses a forestry fire prevention intelligent inspection monitoring and early warning system based on big data. The system comprises an inspection area division module, an unmanned aerial vehicle, an unmanned aerial vehicle inspection route matching module, a database, a plant height acquisition module, an inspection height adjustment module, a fire hazard inspection parameter acquisition and analysis module, a GPS positioning module, a distance navigation module, a central monitoring platform and an early warning module.According to the invention, the forest area is divided;the unmanned aerial vehicle is used for replacing manual inspection, infrared thermal imaging shooting is carried out on the inspection subareas in the inspection process to count fire points with fire risks, meanwhile, flames and visible smoke phenomena of all the inspection subareas are monitored, intelligent inspection monitoring can be carried out on forest fires, the inspection efficiency ishigh, The forestry fire prevention intelligent inspection monitoring and early warning system has the advantages of being high in monitoring speed, high in timeliness and high in accuracy, meanwhile,the fire point position is positioned, the positioned geographical position is sent to forest protection personnel, the forest protection personnel go to extinguish a fire, and therefore damage to forest resources is reduced.

Description

technical field [0001] The invention belongs to the technical field of forestry fire prevention inspection management, and relates to a big data-based forestry fire prevention intelligent inspection monitoring and early warning system. Background technique [0002] Forest is one of the important resources in my country. Today, with the rapid economic development, people's awareness of sustainable development is gradually improving. Therefore, the protection of forest resources is not only the need of the economy and society, but also the need to protect the ecological environment. Natural disasters and man-made damages continue to damage forest resources, especially forest fires, which are devastating to forests, and also pose a great threat to people's lives and properties. critical. [0003] The traditional inspection and monitoring of forest fires is carried out manually by forest rangers. Manual inspections are prone to missed inspections, and manual inspections are easil...

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Problems solved by technology

[0003] The traditional inspection of forest fires is carried out manually by forest rangers. Manual inspections with naked eyes are prone to missed inspections, and manual inspections are easily restricted by terrain. Inspections on rough terrain are more difficult and inevitable. Prolong the inspection time and reduce the inspection efficiency. In order to solve the above problems, the present invention proposes a forestry fire prevention intelligent inspection monitoring and early warning system based on big data.

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