技术中心

【英文篇名】 Study on algorithm of neighborhood statistic flame detection in FSSS 【作者中文名】 李高建; 朱秀斌; 杜巍; 【作者英文名】 Li gaojian Zhu xiubin Du wei（ZIBO Vocational Institute; ZIBO 255013）; 【作者单位】 淄博职业学院电子电气工程系; 淄博职业学院电子电气工程系 淄博; 【文献出处】 制冷与空调(四川), Refrigeration nbsp; 期刊荣誉：ASPT来源刊 CJFD收录刊 【关键词】 火焰检测; 数字图像处理; 邻域统计; 炉膛安全监控系统; 【英文关键词】 Flame Detecting; Digital Image Processing; Neighborhood Statistic; FSSS; 【摘要】 针对目前火焰检测器中采用的火焰燃烧判别算法存在的不足,提出了一种新的邻域统计火焰检测算法。首先根据选定的火焰图像区得到火焰图像的特征灰度级,然后通过统计特征灰度级邻域范围内的像素数对火焰状况进行判断,得出了正确的检测结果。该方法可以在线修改参数,为正常燃烧状态、不稳定燃烧状态、低负荷状态和灭火状态设定不同的判别阈值,保证了在不同工况下准确地检测出火焰燃烧状况,提高了检测的可靠性。 【英文摘要】 In order to improve the algorithm of flame detection in furnace safeguard supervisory system,a new algorithm of neighborhood statistic was proposed in the paper.Characteristic threshold of flame gray was obtained according to chosen image.The flame state was judged by the pixels number of flame in the threshold pixel neighborhood area.The advantages of the method are that parameters can be modified online and the flame states can be obtained by the different thresholds.The method satisfied the requirements ...