A Grassland Fire Real-time Monitoring System and Early Warning Method Based on Geostationary Meteorological Satellites

Abstract

The invention provides a grassland fire real-time monitoring system and early warning method based on stationary meteorological satellites, which includes a detection device, a collection device, an interaction device, a feedback device and a processor, and the detection device is used to collect on-site data; the collection device It is used to receive images of meteorological satellites and monitor the location and layout of the data of meteorological satellites; the interactive device is used to interact with the data on site; the feedback device provides feedback based on the data of the acquisition device, the interactive device and the detection device, and triggers an early warning operate. The invention detects the fire field through the detection mechanism carried by the mobile platform, so that the change of the wind direction of the fire field can monitor the momentum of fire spread or the direction of extension, and also establishes the relationship model between the optimal threshold value and the structural similarity in a specific scene, And collect other physical quantities of the detection location to analyze the path or trend of the fire spread, and improve the accurate monitoring of the fire location by the entire system.

Description

technical field [0001] The invention relates to the technical field of fire forecasting and rescue, in particular to a real-time grassland fire monitoring system and early warning method based on stationary meteorological satellites. Background technique [0002] Thousands of forest and grassland fires occur every year, burning an area of ​​hundreds of thousands of hectares, which brings huge losses to animal husbandry production, people's lives and ecosystems. In forest and grassland fire prevention, establishing and improving a suitable monitoring and early warning mechanism can effectively prevent problems before they happen, reduce the number of fire occurrences, and reduce the economic losses caused by fires. [0003] For example, CN101719298B prior art discloses a remote sensing monitoring and early warning method for forest and grassland fires. At present, in the early warning of forest and grassland fires, the widely used method is to use meteorological observation d...

AI Technical Summary

Problems solved by technology

Although the acquisition of meteorological observation data has time continuity, and can also reflect the environmental conditions of the fire to indirectly evaluate the state of combustibles, the meteorological observation data from meteorological stations can be used in geographical space, especially in large-scale and complex topographical spaces (such as forest and grassland ecosystems). ) is greatly limited, and must rely on the spatial interpolation analysis of geographic information systems to complete the spatial representation of information

At the same time, the site selection of each environmental detection module is relatively fixed, and in order to facilitate the maintenance of site equipment, the above site selection is generally a place where human activities are more frequent or where human footprints are easier to reach, and there is a sample bias in statistics. It will affect the readiness of monitoring; secondly, the above-mentioned fixed-point monitoring mode also limits the accuracy of monitoring to a certain extent. In forests or grasslands, since the scope of human activities is constantly changing, such as newly opened Forest trails, newly erected transmission lines, etc., all need to adjust the position of the monitoring point. Obviously, the above-mentioned fixed-point monitoring method is not effective

[0004] In order to solve the common problems in the field such as small detection range, high detection intensity, lack of early warning means and poor real-time monitoring, etc., the present invention is made

Images