Intelligent fire detection method based on WSN

Abstract

The invention discloses an intelligent fire detection method based on a WSN. The method includes the following analyzes the application features of a wireless sensor network and analyzing the non-structural features of how a fire happens, and in combination with a general function model of the data fusion technology, and establishes a multi-layer and graded fire detection model. The model adopts the WSN which is composed of 3types of sensors. Firstly, the acquired original data undergoes data level processing so as to standardize the data, and the data undergoes special level processing so asto remove redundant information from a network and increase the precision in identifying a fire and the robustness of the WSN. According to the invention, the method herein sufficiently takes the features of the wireless sensor network into consideration, makes sure that a fire early warning is sent in an in-time and accurate manner, makes systems more suitable for the environment, makes the decision-making of a fire fighting monitoring system more scientific, and is very significant and practical for the early warnings and forecasting of fire hazards.

Description

technical field [0001] The invention relates to an intelligent fire detection algorithm based on a wireless sensor network and information fusion technology, and belongs to the technical field of data fusion in the wireless sensor network. Background technique [0002] Among the many disasters, fire has become one of the most frequent, destructive and influential disasters in our country. Stability has also had an adverse effect. With the rapid development of economy and urban construction, the number of high-rise buildings, underground buildings and large-scale comprehensive buildings in cities is increasing day by day, and the fire hazards are also greatly increased. The number of fires and the losses caused by them are increasing year by year. How to quickly and accurately detect the fire hazard in the early stage is undoubtedly an urgent problem to be solved. [0003] For today's fire detection system, people not only hope that it can detect the occurrence of fire as s...

AI Technical Summary

Problems solved by technology

However, WSN is a resource-constrained network with limited battery capacity, computing power, storage space, and communication bandwidth. For large-scale WSN applications such as fire prevention, there is a large amount of invalid redundant data in the network.

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