Steppe fire monitoring and early warning method and device based on multi-source heterogeneous data

A grassland and data technology, used in forest fire alarms, fire alarms that rely on radiation, fire alarms, etc., can solve the problems of low fire point identification efficiency and low accuracy.

Inactive Publication Date: 2021-09-07
INNER MONGOLIA UNIV OF TECH
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Problems solved by technology

[0004] However, with the methods of the prior art, there are low fire point identification efficiency, underreporting and underreporting, resulting in low accuracy in determining whether a fire has occurred in the grassland

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  • Steppe fire monitoring and early warning method and device based on multi-source heterogeneous data
  • Steppe fire monitoring and early warning method and device based on multi-source heterogeneous data
  • Steppe fire monitoring and early warning method and device based on multi-source heterogeneous data

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Embodiment Construction

[0053] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0054] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.

[0055] In one embodiment, such as figure 1 as shown, figure 1 It is a flowchart of a grassland fire monitoring and early warning method based on multi-source heterogeneous data in an embodiment. In this embodiment, the method includes the following steps:

[0056] S101: Obtain the multi-spectr...

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Abstract

The invention relates to the technical field of steppe fire monitoring, and provides a steppe fire monitoring and early warning method and device based on multi-source heterogeneous data, a computer readable storage medium and computer equipment. The method comprises the steps of acquiring an unmanned aerial vehicle multispectral image, a first satellite remote sensing image and grassland environment influence factor data; performing correction processing on the first satellite remote sensing image according to the unmanned aerial vehicle multispectral image to obtain a second satellite remote sensing image; according to the second satellite remote sensing image, constructing a combustible moisture content inversion model; according to the combustible moisture content inversion model and the grassland environment influence factor data, a grassland fire danger index model is constructed, and a grassland fire danger index grid map layer is obtained; obtaining a grassland fire danger grade zoning map according to the grassland fire danger index grid map layer; and determining a target monitoring area according to the grassland fire danger grade zoning map. By adopting the method, the fire point identification efficiency can be improved, the phenomenon of underreporting is avoided, and the accuracy of determining whether a fire occurs in the grassland is improved.

Description

technical field [0001] The present application relates to the technical field of grassland fire monitoring, in particular to a grassland fire monitoring and early warning method, device, computer-readable storage medium and computer equipment based on multi-source heterogeneous data. Background technique [0002] Grassland fires refer to disasters caused by natural or human-induced burning of combustible materials in grasslands. Grassland fires have caused huge losses to grassland resources, animal husbandry production, and the ecological environment. [0003] In order to reduce the losses caused by grassland fires to grassland resources, animal husbandry production and ecological environment, the existing fire monitoring and early warning methods mainly include artificial ground observation, satellite remote sensing monitoring and ground wireless sensor network monitoring. Among them, artificial ground monitoring mainly uses observation decks built on the ground and manual ...

Claims

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Application Information

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IPC IPC(8): G08B17/00G08B17/12
CPCG08B17/005G08B17/12
Inventor 刘志强郭建伟张旭吴晓雄赫妮
Owner INNER MONGOLIA UNIV OF TECH
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