A scalable spherical matrix forest fire risk prediction method and device

Abstract

The invention discloses a scalable spherical matrix forest fire risk prediction method and device, including a controller, a monitoring terminal, a receiving terminal and a publishing terminal, the monitoring terminal is connected to the controller, and the controller transmits the detection result to the receiving terminal end, the receiving end is used to calculate the detection results of the controller combined with meteorological data, the receiving end transmits the results to the publishing end, the monitoring end is composed of combustible humidity bulb matrix, and the combustible humidity bulb The matrix is ​​provided with multiple layers, and the combustible humidity ball moments are stacked up and down. The present invention uses local tree species to make combustible humidity balls, which can be better suitable for local fire risk forecasting, and adopts multi-path level combustible humidity balls arranged in a matrix , which is helpful to obtain the humidity of combustibles of various types and diameters, comprehensively considering the comprehensive influence of spatial arrangement, diameters, tree species, etc., which has better accuracy, deployability, and conformity to actual conditions than traditional combustible humidity sticks.

Description

technical field [0001] The invention relates to the technical field of fire risk prediction, in particular to an expandable spherical matrix forest fire risk prediction method and device. Background technique [0002] Forest fire risk forecasting is one of the difficulties in fire risk forecasting. Traditional fire risk forecasting is an important part of forest fire management. From simple forest fire risk forecasting based on weather elements, it gradually becomes comprehensive forest fire risk forecasting, forest fire occurrence forecasting and fire behavior forecasting. However, due to the difficulty of obtaining real-time information on surface combustibles, the existing fire risk forecasting methods generally use meteorological fire risk, and meteorological factors are used to indirectly predict fire risk. Since the humidity information of combustibles cannot be directly obtained, the forecast results are somewhat limited. limitation. [0003] Existing combustible hum...

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Problems solved by technology

[0002] Forest fire risk forecasting is one of the difficulties in fire risk forecasting. Traditional fire risk forecasting is an important part of forest fire management. From simple forest fire risk forecasting based on weather elements, it gradually becomes comprehensive forest fire risk forecasting, forest fire occurrence forecasting and fire behavior forecasting. However, due to the difficulty of obtaining real-time information on surface combustibles, the existing fire risk forecasting methods generally use meteorological fire risk, and meteorological factors are used to indirectly predict fire risk. Since the humidity information of combustibles cannot be directly obtained, the forecast results are somewhat limited. limitation

[0003] Existing combustible humidity monitoring methods generally require manual use, such as weighing and drying methods, or the method of using humidity sticks to manually measure combustible humidity or automatically weigh. Under field conditions, large-scale deployment has certain advantages. However, it consumes a lot of manpower and material resources. At the same time, weighing is greatly affected by external conditions, and the sampling time and frequency of the weighing process are greatly affected by the sensitivity of weighing instruments.

Although there is also a method for evaluating wood humidity based on changes in wood resistance, there is no convenient and reliable production and deployment plan for humidity sensors, and it is impossible to network for large-scale deployment

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