基于IRCCD的翻车机报警系统

针对煤矿工业.散货码头等时常发生的"活埋"事故,本文应用IRCCD+CPLD+DSP结构设计了报警系统,实现了红外图像的实时采集、处理及显示,从而对翻车机内的生命目标进行识别报警.以CPLD为控制核心的图像采集模块,应用SAA7111A视频处理芯片完成了图像的模数转换及时序的同步控制;以定点DSPTMS320C6416为核心的图像处理模块,对红外图像进行了增强,特征提取等操作,实现了对翻车机内生命体的识别;以555为核心的声光报警延时电路实现了报警功能.本文最后给出了在不同的灰度分割门限下所提取的目标特征,结果表明在灰度分割门限为0.8时已经可以得到较理想的分割结果.

Alarm System for Tipper Based on IRCCD

Aiming at the often occurred "buried alive" accidents in the coal industry, bulk cargo docks etc., a alarm system was designed by using structure of IRCCD+CPLD+DSP. Real-time capturing, processing and displaying of infrared image were implemented to recognize the fife target in tipper consequently. In the image capture module in which CPLD is the controlling core, SAA7111A video processing chip was used to implement changing analogue image to digital image and synchronously controlling time-sequence. In the image processing module in which fix DSP TMS320C6416 is the core, infrared image was enhanced and the image feature was extracted, and life target recognizing in tipper was realized. Sound-light alarm delay circuit in which 555 is the core is used to implement alarming. In the ending of the paper, the result of feature extraction at the different interior thresholds was given. Experiment results demonstrate that the ideal result can be achieved at the 0.8 interior thresholds of gray level.