Abstract
Sag is one of the important parameters for operation and maintenance of the transmission lines, and its size directly affects the safe and stable operation of the line. In recent years, in order to improve the transmission capacity, many existing transmission lines allow the temperature from 70 °C to 80 °C, and then the transmission line sag becomes a major constraint for the transmission security. This chapter presents a novel sag measurement method based on image processing. Firstly it grays the collected color images and preprocesses the images with some image-denoizing methods. Secondly, special points generated by the isolation rod are extracted by the corner extraction algorithm, and the spatial coordinate values of the extracted points are identified according to the principle of binocular vision and the relationship of three-dimensional coordinate space coordinates and image coordinates. Finally via the method of the curve fitting, the actual sag of the transmission line is calculated. The experimental results show that this method is suitable for both the cases in which the height of the transmission line is equal or not, and it has good adaptability.
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Acknowledgements
This work is supported by “the Fundamental Research Funds for the Central Universities” of China.
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© 2014 Springer International Publishing Switzerland
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Cheng, W., Chen, L. (2014). Overhead Transmission Lines Sag Measurement Based on Image Processing. In: Wong, W.E., Zhu, T. (eds) Computer Engineering and Networking. Lecture Notes in Electrical Engineering, vol 277. Springer, Cham. https://doi.org/10.1007/978-3-319-01766-2_55
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DOI: https://doi.org/10.1007/978-3-319-01766-2_55
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