Study On Coal Preparation Plant Fire Detection System Based On Image Processing

Coal preparation plant is fire prone places, has broad space and air flow characteristics such as strong, traditional fire detectors in the working environment is difficult to play a role and conventional sensor real-time fire detection based on difference, on the initial fire smoke cannot detect. In recent years, with the continuous development of digital graphic discipline and visual,digital graphics technology is using more and more engineering practice and software development, the application of computer image processing method of coal preparation plant fire detection research, in order to solve the open environment of smoke detection problem. Based on the analysis of the feature of fire pixels based on, Intel launched a vision library opencv as a development tool,with angle detection of fire detection algorithm research. The specific contents are as follows:Firstly, this paper briefly introduces the research background and related technologies of the development status, through the comparison of traditional detection methods and image processing technology analysis, elaborates on the application of image processing technology for fire detection is of great practical significance.Secondly, the paper relates to the concept, theory and basic algorithm are described, on the image processing tools and multi thread technology are briefly introduced in this paper, provides a reliable theoretical basis for the research.Thirdly, analysis of the fire foreground region dynamic characteristics and pixel feature; through the analysis of the foreground image and background image, judge foreground objects is to satisfy the flame dynamic characteristics;flame pixel color space conversion, conversion after the flame image meet the conditions, and pointed out that the flame three corridor asymptote with law ofdiminishing; on the windows platform of several luminous objects were detected that pixel feature algorithm can effectively detect the fire occurrence, but easy to cause the error checking on other objects.Finally, in the pixel feature algorithm based on, this paper puts forward the detection algorithm with measurement of the angle, and the classical Harris detection algorithm do further optimization, the Harris strength value flame angle angle estimation, and through the look-up table method to calculate the specific angle value, that satisfy the conditions of flame angle number; the integrated flame angle characteristic and pixel features, the realization of the detection algorithm with measurement of the angle, and then judge whether there is a fire,through in experimental platform and feature pixels algorithm compared to that with angle measurement of the fire detection algorithm can effectively improve the accuracy of automatic alarm, timely completion of effective fire detection.