Abstract：In order to realize the whole process intelligent management of power transmission and transformation engineering, and ensure the safety of tower hoisting and the use effect after hoisting, a moving point coordinate calculation method based on multi-scale Retinex algorithm was proposed. The multi-scale Retinex algorithm was used to enhance the image quality of tower hoisting, the features were extracted by the least square method, and the categories of tower were identified by feature matching. The moving point coordinate calculation models of different categories of tower hoisting were established by Picard method, and the moving point coordinates of multi-lifting point constraint rope of tower hoisting were calculated. The test results show that this method has good image enhancement effect. The test results of BIQI index and BRISQUE index are more than 4.6. It can complete the distinction of towers in the image, obtain the classification results of towers, calculate the moving point coordinates of lifting point restraint rope system, and ensure the safe lifting of towers. The inclination angle is less than 10 °, and the more uniform the section bending moment is more than 92.5%.
吴健,李洋,韩义成,黄鹏. 基于多尺度Retinex算法的杆塔多吊点约束绳系动点坐标计算方法[J]. 计量学报, 2023, 44(7): 1087-1092.
WU Jian,LI Yang,HAN Yi-cheng,HUANG Peng. Calculation Method of Moving Point Coordinates of Tower Multi Lifting Point Constrained Rope System Based on Multi-Scale Retinex Algorithm. Acta Metrologica Sinica, 2023, 44(7): 1087-1092.
Wang W, Wang Q Z, Shen L, et al. A NLOS passive localization method based on probability accumulation［J］. Systems Engineering and Electronics, 2022, 44(1):64-69.
Ai Y Q, Huang F L, Feng F, et al. Theoretical calculation of suspender tension based on frequency method［J］. Journal of Railway Science and Engineering, 2020, 17(8):2030-2036.
Yue Y, Zhao Z C. Calculation method of work piece pose based on regional point cloud［J］. Chinese Journal of Construction Machinery, 2021, 19(4):295-301.
Peng J, Xue F J, Yuan Y B. Adaptive Image Defogging Algorithm Combining Multi-Scale Retinex and Dark Channel［J］. Laser & Optoelectronics Progress, 2021, 58(4):117-125.
Wu Y H, Wang X W, Zhang T. Detection Method of Lifting Point Positions of Prefabricated Component Based on Improved Guide Filter［J］. Journal of Shenyang Jianzhu University Natural Science, 2020, 36(6):1113-1120.
Wang X Z, Niu S S, Zhang K, et al. Image Fusion of Infrared Weak-Small Target Based on Wavelet Transform and Feature Extraction［J］. Journal of Northwestern Polytechnical University, 2020, 38(4):723-732.
Jiang Q L, Lu J P, Sun T, et al. Defect Detection of Pole Tower Grounding Body Based on GPR Offset Imaging［J］. High Voltage Engineering, 2021, 47(1):322-330.
Wei Y, Ouyang P. Retinex Image Enhancement Algorithm Based on Fast Bright-pass Bilateral Filtering［J］. Journal of Chinese Computer Systems, 2021, 42(9):1944-1949.
Li G Q, Peng C G, Wang Y, et al. Real-time estimation of three-dimensional attitude of towers based on deep learning［J］. Application of Electronic Technique, 2021, 47(6):87-91+95.
Hao C W, Wang M F, Zhang Y S, et al. Research on Deck Cross-Sections of Long-Span Arch Bridge with Crossbeams As Main Load Bearing Components after Strengthening by Adding Large Longitudinal Beams［J］. World Bridges, 2021, 49(6):103-109.
Zhou Q S Huang S, Chen H L. Multi Scale Image Vignetting Correction Based on Adaptive Compensation Retinex Algorithm［J］. Computer Simulation, 2021, 38(4):155-158.
Zhang J, Pang S Q, Li X B, et al. Automatic Tower Recognition Method Based on LSD Algorithm and Hough Transform in Aerial Transmission Line Image［J］. Chinese Journal of Electron Devices, 2021, 44(5):1210-1214.
Wan N, Zhou Q A, Guo K G, et al. Accurate autonomous retaking method based on foreground tower recognition in power tower inspection［J］. Journal of Computer Applications, 2021, 41(S1):298-303.
2023, Vol. 44 
