Big data mining based integrated forest fire prevention informatization system

Abstract

The invention discloses a big data mining based integrated forest fire prevention informatization system. The big data mining based integrated forest fire prevention informatization system comprises a big data platform, and a multi-dimension perception subsystem, an early-warning prediction subsystem and a multi-hierarchy application subsystem, which are connected with the big data platform, respectively; the multi-dimension perception subsystem is used for acquiring various forest data, the big data platform is used for pre-processing and computing the data; the early-warning prediction subsystem can realize fire warning and prediction and forest fire spreading prediction; and the multi-hierarchy application subsystem is used for realizing forest resource planning, forest fire prevention management, and forest fire suppression dispatching and command. The big data mining based integrated forest fire prevention informatization system can realize multi-azimuth comprehensive monitoring on a forest, is used for mining and analyzing historical data and mass forestry data obtained by real-time monitoring to accurately predict forest fire and provide an early-warning function, can analyze the development tendency of the forest fire to provide aid in decision making, can put out the forest fire in an airland and multi-method manner, and can provide high-efficiency and accurate equipment and personnel assignment; and the system is integrated and has high informationization degree.

Description

technical field [0001] The invention belongs to the technical field of forest fire prevention, and in particular relates to an integrated forest fire prevention information system based on big data mining. Background technique [0002] Forests are the largest ecosystems on land. Changes in forest resources have always had an important impact on the global ecological environment, biodiversity, climate change, and carbon cycle. They play an irreplaceable role in maintaining global ecological balance and are extremely important. renewable resource. With the increase of forest area and forest stock volume year by year, coupled with the variability of climatic conditions, forest fires have become more and more frequent. Due to the suddenness and randomness of forest fires, which can cause huge economic losses in a short period of time, the task of forest fire prevention has become more and more difficult. Generally, forest fires occur far away from residential settlements, so e...

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Problems solved by technology

In practice, forest fires are affected by the forest environment and meteorological conditions. The monitoring equipment in the existing forest fire protection system cannot effectively warn in advance and detect forest fires in time, and due to the lack of accurate calculation models, false alarms often occur

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