Multi-sensor fire detection method based on hierarchical fuzzy fusion

Abstract

The invention relates to a multi-sensor fire detection method based on hierarchical fuzzy fusion. According to the method, when a fire is detected, five fire parameters including a flame signal, the temperature change rate, the temperature, the carbon monoxide concentration and the smoke concentration are processed; a hierarchical fuzzy data fusion model composed of two-stage fuzzy reasoning models is built; the first stage takes the temperature change rate and the temperature as inputs; the second stage takes a first-stage judgment result, the carbon monoxide concentration, the smoke concentration and the flame signal as inputs; an output is a probability that the fire occurs; and accurate fire judgment can be carried out by comparing the value with a set threshold value. Through fuzzy fusion of multi-sensor fire information and a hierarchical mechanism of the two-stage fuzzy reasoning models, the number of fuzzy rule bases of a system is remarkably reduced, and the robustness, rapidity and accuracy of fire detection are improved.

Description

technical field [0001] The invention relates to the field of fire detection, in particular to a multi-sensor fire detection method based on layered fuzzy fusion. Background technique [0002] With the rapid development of social economy, buildings are becoming more and more dense, and the fire environment is becoming more and more complex, making fire rescue more difficult, and rescue methods are also very limited, especially in densely populated areas. If the fire cannot be extinguished in time, it will cause incalculable losses. . With the help of fire detection technology, early warning of early fire, and timely and effective countermeasures to control the fire in the early stage so that it causes less damage, can effectively eliminate the adverse effects of fire and avoid the disadvantages of post-fire treatment. [0003] When a fire occurs, it is accompanied by changes in multiple environmental parameters, such as temperature, smoke concentration, flame presence, etc. ...

AI Technical Summary

Problems solved by technology

Most of the existing fire detection systems use a single sensor to alarm for a single fire parameter. Due to the small amount of environmental information, the rate of fire false alarms and false alarms is high

Multi-sensors are used to extract multiple parameters of the fire environment and fuse multiple information acquired by the system to produce more accurate multi-sensor judgments, which not only overcomes the limitations of single sensor data acquisition, but also obtains more comprehensive fire information. At present, the emergence of a few multi-sensor fire detection systems has improved the accuracy of fire detection to a certain extent, but due to the lack of fusion mechanism for multi-sensor information, the overall detection accuracy of fire is still insufficient, and the detection speed is generally slow. The problem becomes more prominent when the number increases

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