Environment parameter perceiving fire hazard judgment method

Abstract

The invention relates to an environment parameter perceiving fire hazard judgment method which includes the steps of (1) building three layers of feedforward BP neural networks and invariable T-S-type fuzzy inference systems, (2) collecting infrared rays, smoke, temperature, humidity and light intensity data in a monitored site through a sensor, (3) calculating infrared values in natural light through a light intensity sensor, conducting background infrared removal processing, caused by the natural light, on the infrared values, obtaining the processed infrared values, (4) inputting smoke read values and the infrared values processed by the step (3) into the three layers of trained feedforward BP neural networks, outputting the fire hazard occurrence degree, (5) inputting temperature and humidity read values into the invariable T-S-type fuzzy inference systems, outputting a fire hazard judgment threshold value, (6) comparing the fire hazard occurrence degree with the fire hazard judgment threshold value, and determining that a fire hazard occurs when the fire hazard occurrence degree is larger than the fire hazard judgment threshold value. The environment parameter perceiving fire hazard judgment method has the environment parameter perceiving function and is good in adaptability.

Description

technical field [0001] The invention is applicable to the field of fire early warning, in particular to a fire judging method in an (alarm) system. Background technique [0002] The fire development process is a random and unpredictable process. In the design process of the fire judging device (or fire warning system), the high rate of missed alarms and high false positives caused by the single type of sensor and the inability of the fire judging threshold to perceive the difference in the external environment has become a factor affecting the reliability of the fire judging device. important problem. Therefore, it is of great significance to design an efficient and environmental parameter-aware fire judgment method to protect people's lives and property safety. [0003] At present, the more advanced fire judgment method is the judgment method based on data fusion technology. That is, the fire signals collected by various sensors are input into a data fusion model, and th...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantages of the existing fire judgment method that the fire judgment threshold is fixed and the fire judgment process does not have the ability to adapt to the environment, the present invention proposes a fire judgment method with environmental parameter perception function and good adaptability

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