Belt Transport Dynamic Hazard Of Infrared Visual Monitoring Of Critical Issues

Mine tape transport system is the lifeblood of coal production. During the belt running, some sharp objects such as stone or metal store at the entrance of the stage loader conveyor or a capture device for broken belt and lacerate the belt.This will result in some belt longitudinal tear such as penetrated by some objects or materials entrapment. Thus, belt conveying dynamic hazards online monitoring is a key measure to prevent belt been penetrated and torn and it is a necessary condition for enterprise to security, stability and efficient operation.However, due to poor visibility underground mine, the mine has a lot of dust and the effect of temperature and humidity are severely restricting the transport of coal mine development and application of tape longitudinal tear line detection technology, to meet the needs of coal mine production safety, therefore, in the harsh environment the on-line monitoring of accidents and hazards identification and early warning technology problem should be solved.In this paper, for the actual needs of belt conveying hazards of real-time online monitoring, introduces the existing coal belt conveying longitudinal tearand hazards actual status, existing longitudinal tear and hazards detection methods are analyzed and summarized, the measurement principle based contact and non-contact longitudinal tear detection methods and various measurements`drawbacks are analyzed. The method of infrared target detection and recognition is introduced, and the infrared target image and the processing method are studied. The underground coal dust serious business, large humidity, low light imaging harsh environment. Since the underground coal dust serious, large humidity and low light imaging, a non-contact Transport belt infrared dynamic hazards monitoring method is proposed, the domain decomposition method and the idea of meshing is introduced, a mathematical model of infrared spectroscopic imaging is created using bidirectional reflectance distribution function, the target image plane in the energy distribution formula is given and an infrared spectral imaging detection system is established. The reflecting differences in background radiation of the best infrared range between hazards and the coal is studied and the infrared spectral characteristics of hazards are converted into hazards infrared image features. Then processing the image and obtain hazards information. The experimental shows that hazards can be identified by the method described in this paper, and the hazardous image can be extracted reliability from the background.It is necessary to track hazards due to the state while the tape is tearing is changing. The algorithm of the image tracking such as particle filte and extended kalman filter is analyzed. The Mean shift that can analyze thehazardous image in the Kernel-Bandwidth is putted in the based on the particularly environment in the coal mine and the method can reduce the time in the process of the analysis. In the complex conditions, the Mean shift can track the hazards and identify the tears, it laid on a stability foundation for the security of the coal.