Infrared and Laser Engineering, Volume. 51, Issue 12, 20220179(2022)
Characterization and identification of static and dynamic hammer tail characteristics in infrared temperature field of leaking steam
Fig. 1. Settings of model boundary condition
Fig. 2. Steam leakage development process
Fig. 3. Influence of leakage pressure, leakage amount and leakage direction on temperature distribution
Fig. 4. Influence of turbulence scale on temperature distribution
Fig. 5. Temperature distribution of leakage steam under different leakage pressure, leakage volume and leakage direction
Fig. 6. Schematic diagram of leakage steam
Fig. 7. (a) Temperature layer
Fig. 8. (a) Temperature layer ; (b) Temperature layer ; (c) Temperature layer ; (d) Temperature layer ; (e) Temperature layer ; (f) Temperature layer ; (h) Difference area between temperature layer and ; (i) Difference area between temperature layer and ; (j) Difference area between temperature layer and (a) 温度层 ;(b) 温度层 ;(c)温度层 ;(d)温度层 ;(e)温度层 ;(f) 温度层 ;(h) 温度层 和 ;(i) 温度层 和 ;(j) 温度层 和
Fig. 9. (a) Skeleton; (b) Fitting line; (c) Direction of leakage source prediction
Fig. 10. (a) Infrared image of leakage steam collected by FOTCRIC 686; (b) Extracted suspected steam area
Fig. 11. (a) Original image; (b) Adaptive median filter (window size 5×5); (c) Adaptive median filter (window size 11×11); (d) Adaptive median filter (window size 25×25)
Fig. 12. Temperature layer extraction effect
Fig. 13. Variable scale extraction processing effect
Fig. 14. Frame diagram of Mask R-CNN
Fig. 15. (a) Binarization processing; (b) Dimensional adjustment; (c) Labeling
Fig. 16. (a) Judged as hammer-tail; (b) Judged as not a hammer-tail
Fig. 17. Flow chart of steam temperature field identification algorithm
Fig. 18. Steam experimental platform
Fig. 19. Original image and two consecutive infrared image
Fig. 20. Variable scale extraction processing
Fig. 21. Results of Mask R-CNN network model identification
Fig. 22. Judgment results of diffusion characteristic
Fig. 23. Judgment results of dynamic hammer tail characteristics
Fig. 24. Prediction results of steam leakage direction
|
|
|
Get Citation
Copy Citation Text
Tao Wu, Cancheng Xiong, Cong Li, Yuanyuan Xu, Shengping Li. Characterization and identification of static and dynamic hammer tail characteristics in infrared temperature field of leaking steam[J]. Infrared and Laser Engineering, 2022, 51(12): 20220179
Category: Image processing
Received: Mar. 14, 2022
Accepted: --
Published Online: Jan. 10, 2023
The Author Email: