| Popis: |
Oil-water two-phase flow exists widely in petroleum exploitation, storage and transportation, chemical industry, energy and other industrial fields, and water content is one of the important parameters of oil-water two-phase flow system. At present, the successful measurement of moisture content in two-phase flow is X-ray method, in which the hot cathode X-ray has a short life, a long preheating time and a large volume, which is not conducive to the measurement of two-phase flow. Compared with the existing hot cathode X ray tube, the coniferous tree carbon nanotube used in this study has a long life, short preheating time and is easy to carry. In view of the low pixel resolution of the image collected by cold cathode X-ray, median filtering, local binarization, morphological operation, small area removal and other preprocessing are carried out on the X-ray image to accurately locate the target information in the image, remove excess pixel noise, and accurately marginalize the information. Canny algorithm is used to extract the edge of X-ray pictures based on preprocessing, and a geometric model is established to calculate the moisture content. In conclusion, the two-phase flow moisture content measurement scheme based on cold cathode X-ray is completely feasible, providing an effective measurement method for the two-phase flow moisture content measurement. |
