Abstract

In view of the problem that the traditional fire detection node is not intelligent enough for data processing when building fire occurs, a design and evaluation method of wireless fire detection node based on multi-source sensor data fusion is proposed. Firstly, the temperature and humidity sensor, carbon monoxide sensor and smoke sensor are selected to collect three kinds of fire information eigenvalues at the same time. Secondly, the analysis and processing method of two-level data fusion is established, and the fire information is processed in STC89C52 microcontroller. The first level data fusion uses fuzzy proximity algorithm to get the eigenvectors of environmental parameters, so that the measured values are closer. The second level data fusion uses D-S evidence theory to analyze the data systematically. According to the probability distribution function after fusion, more accurate decision results are obtained. Finally, the fire signal is sent to the superior data management center through ZigBee wireless transmission network, and the alarm signal is triggered in time. The whole node design gives a complete hardware selection and software data fusion processing method. Compared with the traditional fire detection node, it significantly reduces the false alarm rate. At the same time, the node has good application effect in the experiment, and realizes a wireless intelligent fire detection node with low cost, wide application range and high intelligence.

Highlights

  • Fire has always been one of the serious natural disasters in our country

  • The wireless intelligent fire detection node consists of four parts: fire information acquisition unit, data fusion processing unit, wireless data transmission unit and power supply unit

  • 20 Huang Ye et al.: Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion structure, and can carry out corresponding data fusion for different types of fire parameters, so as to get a more accurate method to judge the fire, On the other hand, ZigBee technology has low power consumption, low wiring cost and simple maintenance, which is suitable for building a wide range of wireless fire detection node network [3]

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Summary

Introduction

Fire has always been one of the serious natural disasters in our country. If there are no effective fire monitoring measures in the fire area, it will lead to immeasurable economic losses and casualties. 20 Huang Ye et al.: Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion structure, and can carry out corresponding data fusion for different types of fire parameters, so as to get a more accurate method to judge the fire, On the other hand, ZigBee technology has low power consumption, low wiring cost and simple maintenance, which is suitable for building a wide range of wireless fire detection node network [3]. Its principle is to collect data in real time by deploying different types of sensors in many places to form multiple autonomous nodes These nodes can be combined with wireless transmission module to form an integrated network structure, It has the function of real-time collection and timely feedback, which is convenient for the central controller to process the relevant data and parameters.

Design of Fire Information Acquisition Unit
Design of Wireless Data Transmission Unit
Design of Fire Detection Node Circuit
Two Level Data Fusion Algorithm
Secondary Data Fusion Processing
Findings
Conclusion
Full Text
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