Research On Feature Extraction Related On Temperature Based On Rotary Kiln Digital Image

Rotary kiln is a very important kind of thermo-equipments, used in materialsintering. In the industrial production process, the firing temperature measurementand monitoring is an important factor for the product quality. The study of the firingzone combustion temperature is very necessary for achieving the operation of therotary kiln control system intelligent.Although burning zone temperature detection techniques have a variety of ways,But more is manually looking at the fire. In this way the personal qualities ofworkers demand highly, and has a great risk. Therefore, to find an effective methodachieve detection of the kiln burning zone temperature conditions is the key to thecurrent control.The developments of image processing broaden people’s ideas. The researchersfound that the video images that collected from the rotary kiln contain a wealth ofinformation, most of them are directly or indirectly associated with temperature.This paper based on image processing technology, deal with image sequence thatcollected in the burning video image from the rotary kiln and extract feature volumereaction kiln combustion, achieve of the computer looking at the fire.To achieve an effective extraction of the characteristic quantities, according toartificial experience in looking at the fire, on the basis of researching on featureinformation that contain firing zone flame area, the material height and materialsdistrict particle situation in the different kiln case. Use algorithms described in thisarticle to filter, denoise, and segment the video image sequence.get the noise-freeimage of corresponding region, extract the clear contour of the corresponding region.In this paper, to achieve a valid estimate of the materials District particleposition, use the improved algorithm, calculate Optical flow field in any frame imagesequences from normal combustion to less burning of this process in different period of time. process optical flow field, extract corresponding material particles size ofmarkers in the different combustion stage of the optical flow field.Finally, based on the characteristics of the above extracted, by a large number ofsimulation results, summary of features and depict the respective trend curves,discuss the relationship between combustion temperature and its.