Smoke and fire detection system based on combination neural network and multi-sensor fusion

Abstract

The invention discloses a smoke and fire detection system based on a combined neural network and multi-sensor fusion. The smoke and fire detection system comprises a mounting and fixing assembly, a focus anti-reflection type precise temperature monitoring and collecting module, a fusion type multi-sensor auxiliary monitoring device, an emergency negative pressure air suction type chemical particle adsorption fire extinguishing device and a cloud service processing unit. The invention belongs to the technical field of smoke and fire detection, and particularly provides a smoke and fire detection system which gathers monitoring key areas into one point on an infrared sensor in a total reflection mode, greatly improves smoke and fire detection accuracy, avoids misjudgment, relieves the burden of workers, and improves the smoke and fire detection accuracy through fusion of a neural network and multi-sensor fusion. According to the smoke and fire detection system based on the combination neural network and the multi-sensor fusion, the detection accuracy is further improved, small-scale smoke and fire can be effectively and nondestructively extinguished in a negative pressure and combustion-supporting avoiding mode, meanwhile, harmful particles are adsorbed, harm to a human body is avoided, and the timeliness and effectiveness of fire extinguishment are guaranteed.

Description

technical field [0001] The invention relates to the technical field of fireworks detection, in particular to a fireworks detection system based on combined neural network and multi-sensor fusion. Background technique [0002] In recent years, there has been a great demand for intelligent pyrotechnic detection in large industrial parks, especially in chemical industrial parks. Every time an accident occurs, it causes a lot of loss of life and property. [0003] At present, the commonly used detection methods for fire include: 1. Sensor detection method: the gas concentration of the fireworks is detected by the pyrotechnic sensor, so as to detect the occurrence of fireworks; 2. Video algorithm analysis method: The video captured by the visible light camera is used for identification, and at the same time by adding Deep learning fireworks detection models and algorithms to determine whether fireworks occur. [0004] However, when the above detection method is specifically impl...

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