Forest fire intelligent moritoring and alarming device

Abstract

The device comprises: fire signal detector for detecting fire signal in site; signal transfer device for transferring fire signal to fire database and management device, which process data; then, sending varied procedure of signal of physical quantity through signal transfer device to fire alarming controller; comparing the said varied procedure with reference mode, the fire alarming controller makes decision of whether fire happens as well as based on the said decision, determines whether fire alarming signal is needed to send out; fire alarming signal through A / D converter is transferred to fire alarming device, which sends out alarming signal. Computer system, fuzzy theory and technique of artificial neural network are utilized to assistant intelligent device of monitoring forest fire to carry out processing in real tine. The device possessing features of fast reaction speed and high fault tolerant is capable of monitoring and forecasting forest fire with accuracy and in time.

Description

technical field [0001] The invention relates to a forest fire monitoring and alarm device, more specifically, a forest fire model based on the research of chaos theory, combined with fuzzy theory and artificial neural network technology, and has a self-learning function for forest fire intelligent monitoring alarm system. Background technique [0002] The composition of the traditional fire alarm device is: the sensing element detects physical signals such as temperature, concentration, luminosity, and sound level of the fire; through intermediate transmission and amplification elements, the physical signal is converted into an electrical signal; and then the electrical signal is transmitted. Give the regional or central control station and give instructions to start the fire extinguishing device. This approach is based on the fact that fires manifest as uncontrolled combustion phenomena in time and space, producing flames, noise, combustion prod...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the disadvantages of existing fire alarm devices, such as imperfect theoretical basis, low intelligence, high rate of false alarms and false alarms, and provide a new type of forest fire intelligent monitoring and alarm device, which transmits fire alarms. The change process of the signal, instead of the traditional threshold method, the signal change process is compared with the forest fire reference model established by the present invention, and the judgment of the fire alarm is made, and the fire disaster situation judgment and the fire alarm made by the device are accurately determined each time. The rate is fed back to the forest fire database, and the artificial neural network technology self-learns the feedback data, so that the device has a self-learning function; improve the accuracy and timeliness of forest fire prediction and fire alarm

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