Abstract
State monitoring of power grid equipment is an important method for discovering dangerous points of power grid equipment and monitoring the surrounding environment. In order to solve the problem of data redundancy in the process of data collection of power grid equipment status parameters and accurately obtain the operating status and fault information, a wireless transmission model of power grid equipment state based on compressed sensing (CS) is proposed. This model uses the sequential generalization of k-means (SGK) algorithm to generate a dictionary set that can sparsely represent each signal, and uses the orthogonal matching pursuit (OMP) algorithm to restore high-dimensional sparse features. According to the collected data set test, the simulation experiment results show that: Using the compressed sensing technology of SGK and OMP algorithm, the transmission volume of the power grid equipment status data is only 30% to 40% of the original, and the reconstructed image quality is also very good, which can improve the speed of detecting the status of power grid equipment to a certain extent.
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Liu, L., Luo, J., Liu, P., Ye, R. (2022). A Wireless Transmission Model of Power Grid Equipment State Based on Compressed Sensing. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_15
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DOI: https://doi.org/10.1007/978-3-031-06788-4_15
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