Forest grassland fire early warning system and method based on PNN neural network
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A technology of fire early warning and neural network, which is applied to forest fire alarms, neural learning methods, biological neural network models, etc., can solve problems such as low accuracy, inability to obtain fire information, and mismatch, so as to improve accuracy degree of effect
Active Publication Date: 2022-01-28
TERMINUSBEIJING TECH CO LTD
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[0004] Therefore, the technical problem to be solved by the embodiments of the present invention is to overcome the defects of low accuracy of the forest and grassland fire early warning scheme in the prior art and the ina...
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Embodiment 1
[0051] The present embodiment provides a kind of forest and grassland fire warning system based on PNN neural network, such as figure 1 As shown, it includes: an early warning management platform 1 and a plurality of detection devices 2 connected in communication with the early warning management platform 1;
[0052] A plurality of detection devices 2 are used to be respectively arranged in a plurality of different positions in the forest or grassland; the detection device 2 includes: a detection module 21, a wireless communication module 22 and a microprocessor 23;
[0053] The detection module 21 includes a plurality of detection sensors, and the detection sensors include at least one of a smoke sensor, a carbon dioxide concentration sensor, a carbon monoxide concentration sensor, a temperature sensor, a humidity sensor, an illumination sensor and an image sensor;
[0054] The microprocessor 23 is used to control the wireless communication module 22 to send the information d...
Embodiment 2
[0117] The present embodiment provides a kind of forest grassland fire early warning method based on PNN neural network, such as figure 2 shown, including the following steps:
[0118] S1: Using the fire early warning model based on the PNN neural network, analyze the information detected by the detection module to obtain fire early warning information, the fire early warning information includes the fire early warning level; the detection module includes a plurality of detection sensors, the The detection sensor includes at least one of a smoke sensor, a carbon dioxide concentration sensor, a carbon monoxide concentration sensor, a temperature sensor, a humidity sensor, a light sensor and an image sensor;
[0119] S2: Perform an early warning according to the fire early warning information.
[0120] In this embodiment, multiple detection sensors are used to collect fire-related information, which can improve the accuracy of fire early warning. In addition, artificial intell...
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Abstract
The invention provides a forest grassland fire early warning system and method based on a PNN neural network, and belongs to the technical field of artificial intelligence early warning. The system comprises an early warning management platform and a plurality of detection devices which are in communication connection with the early warning management platform. Each detection device comprises a detection module, a wireless communication module and a microprocessor. Each detection module comprises a plurality of detection sensors. Each microprocessor is used for controlling the wireless communication module to send the information detected by the detection module to the early warning management platform, and is also used for analyzing the information detected by the detection module by using the fire early warning model based on a PNN neural network to obtain fire early warning information including a fire early warning level. The early warning management platform is used for carrying out early warning according to the fire early warning information determined by the detection devices. According to the invention, the artificial intelligence neural network is adopted to carry out intelligent analysis on various detection information, the early warning accuracy can be improved, and the fire early warning level matched with the current fire behavior is obtained, so that the early warning processing is more suitable.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence early warning, in particular to a forest and grassland fire early warning system and method based on a PNN neural network. Background technique [0002] Forest and grassland fires not only seriously damage forest and grassland resources and the ecological environment, but also cause great harm to people's lives and property and public safety, and pose a huge threat to the sustainable development of the national economy and ecological security. The specific hazards are manifested in the following aspects: burning forest and grassland vegetation resources, endangering wild animals, causing soil erosion, reducing the water quality of downstream rivers, causing air pollution, and threatening the safety of people's lives and property. [0003] Timely fire warning and timely extinguishment of forest and grassland fires at the initial stage are the most practical and effective methods, wh...
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