基于图像智能判断的室内助燃材料内温升高趋势研究

Study on Indoor Combustion Material and Temperature Increase Trend Based on Image Intelligent Judgment

对室内助燃材料的内温变化情况进行研究,一直存在着分析不准确的问题,提出基于图像智能判断的室内助燃材料内温升高趋势分析方法。通过采用数字图像处理的温度检测智能方法,引入耐高温的电荷耦合器件(CCD)获取室内助燃材料温度变化的实时图像,通过比色算法,提取室内助燃材料温度变化图像特征,采用BP神经网络算法,对室内助燃材料内温变化图像智能识别。实验证明,使用该检测系统能够提取获取温度变化的极值点图像特征信息,预防火灾的发生。

Combustion supporting materials for indoor temperature change research, there has been the problem of inaccurate analysis, based on image intelligent judgment of indoor combustion supporting material temperature rising trend analysis method is proposed. By using digital image processing temperature intelligent detection methods, the introduction of resistance to high temperature charge coupled device(CCD) to obtain the real-time images of the interior materials, combustion temperature change, by colorimetric algorithm to extract interior materials, combustion temperature change image features, using BP neural network algorithm, indoor materials, combustion temperature change of image intelligent recognition. Experimental results show that the detection system can be used to extract the characteristic information of the extreme points of the temperature change, and to prevent the occurrence of fire.