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Multi-information fusion fire hazard detection method

A multi-information fusion and fire detection technology, applied in the field of fire detection, can solve the problems of low detection sensitivity, high false alarm rate, lack of intelligence, etc., achieve reliable fault diagnosis, accurate alarm signal, and reduce the effect of false alarm rate

Inactive Publication Date: 2011-04-13
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

[0004] The defect of the existing fire detection system is that the detection sensitivity is low, the false alarm rate is high, and it lacks intelligence, and it cannot play its due role for some places with weak information and poor information, and even the situation of no alarm

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Embodiment Construction

[0017] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0018] now refer to figure 1 , which is a flowchart of a multi-information fusion fire detection method according to an embodiment of the present invention. Include the following steps:

[0019] Step 102, perform preprocessing such as trend and threshold judgment on the fire detection feature signals periodically collected on site, and eliminate unreasonable data due to normal environmental changes.

[0020] The data collected by the on-site detectors is first judged by the threshold and trend algorithm, where the threshold and trend s...

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Abstract

The invention discloses a multi-information fusion fire hazard detection method, comprising the following steps: preprocessing is carried out on a fire hazard detection signal sequence obtained by site period sampling, and unreasonable data generated by normal environmental change is removed; a gray model GM (1, 1) is built according to the preprocessed original fire hazard detection signal sequence, and fire hazard detection signal data at follow-up time points is predicted, so as to obtain an equal dimensionality new information gray prediction model; the original hazard detection signal sequence is utilized to carry out posterior check on the fire hazard detection signal data obtained by prediction, so as to check whether the fire hazard detection signal data generated by prediction on gray prediction model is qualified or not; and a diagnosis neural network is utilized to diagnose the qualified fire hazard detection signal time sequence data, so as to obtain a fire hazard detection result. By means of the invention, reliable fault diagnosis can be provided and the false alarm rate of fire detection result can be reduced.

Description

technical field [0001] The invention belongs to the technical field of fire detection, and in particular relates to a multi-information fusion fire identification method, in particular to fire identification in scenes with poor information and weak information. Background technique [0002] The occurrence of fire has duality, both its randomness and its certainty. Therefore, fire detection signal detection is a very difficult signal detection. It requires signal processing algorithms to adapt to changes in various environmental conditions and automatically adjust parameters to achieve both fast fire detection and low false alarm rate. Therefore, a numerical and non-mathematical function estimation and dynamic system is needed to realize fire detection. [0003] In the 1990s, the use of neural network and its fuzzy system fusion method for fire detection has attracted great attention in the field of fire engineering due to its self-learning, self-adaptive, and self-organizin...

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Application Information

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IPC IPC(8): G08B17/00
Inventor 张永明王彦方俊王进军
Owner UNIV OF SCI & TECH OF CHINA
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