Intelligent fire-fighting analysis and management integrated platform based on remote image analysis and processing technology

Abstract

The invention discloses an intelligent fire-fighting analysis and management integrated platform based on a remote image analysis and processing technology. The platform comprises a region division module, a region parameter detection module, a tree density detection module, a fallen leaf basic parameter detection module, an external environment parameter detection module, a data processing and analysis module, a database, an early warning terminal and a display terminal. According to the platform, the tree density of each sub-region of the forest, the ratio of fallen leaves and green leaves in each sub-region, the fallen leaf thickness, the fallen leaf area, the external illumination intensity, the methane concentration, the oxygen concentration and the temperature of each sub-region are detected and analyzed in detail, so that the comprehensive danger influence coefficient of each sub-region of the forest is effectively counted, therefore, the problem that an existing forest fire-fighting platform does not detect and analyze factors of forest natural fire disasters is solved, the prevention and control efficiency of forest fire disasters is greatly improved, and intelligent fire-fighting and efficient management of forests are realized.

Description

technical field [0001] The invention belongs to the technical field of intelligent fire protection, and relates to an integrated platform for analysis and management of intelligent fire protection based on remote image analysis and processing technology. Background technique [0002] The forest is an important place to generate oxygen and absorb carbon dioxide. The quality of the forest directly affects the quality of our living air. However, due to the special structure of the forest, the forest is extremely prone to fires during dry periods such as winter, spring, and autumn. This kind of forest fire is difficult to control, and it is easy to cause serious air pollution. Therefore, the fire analysis of forest fire is very important. [0003] The existing forest fire protection platform management is mainly aimed at the impact of external factors such as personnel on forest fire protection. The prevention and control of forest life is achieved through regular inspections of...

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Problems solved by technology

[0002] The forest is an important place to generate oxygen and absorb carbon dioxide. The quality of the forest directly affects the quality of our living air. However, due to the special structure of the forest, the forest is extremely prone to fires during dry periods such as winter, spring, and autumn. This kind of forest fire is difficult to control, and it is easy to cause serious air pollution. Therefore, the fire analysis of forest fires is very important.

[0003] The existing forest fire protection platform management is mainly aimed at the impact of external factors such as personnel on forest fire protection. The prevention and control of forest life is achieved through regular inspections of personnel and control of personnel setting fires in the wild. The method of regular inspection needs to consume a lot of time resources and human resources, and the prevention and control effect on forest fires is not very satisfactory. Therefore, the existing forest fire prevention methods still have great disadvantages. On the one hand, the existing The forest fire protection platform does not detect and analyze the factors that cause natural forest fires. On the one hand, the existing forest fire protection platform cannot realize the intelligent fire protection of the forest. On the other hand, the existing forest fire protection platform cannot effectively improve the protection against forest fire prevention and control efficiency

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