The non-equilibrium plasma jet at atmospheric pressure produces low-temperature plasma in an open environment, which has broad application prospects. Based on the emission spectrum of the argon plasma jet, this paper studies the variation of irradiance, electron temperature, electron density, and metastable particle number when the gas flow rate and axial distance are used as independent variables, respectively. The results show that with the increase in gas flow rate, the irradiance generally shows an increasing trend. At the same gas flow rate, the irradiance decreases with the increase of axial distance. With the increase of gas flow rate, the electron temperature decreases gradually, and the electron density increases gradually at the same axial distance. At the same gas flow rate, the electron temperature and electron density increase first and then decrease with the increase of axial distance. The number density of metastable particles increases with the increase of gas flow rate, and increases, decreases, and then increases with the increase of axial distance.
Insulator defect detection of transmission lines is one of the important tasks in the operation of power systems. Therefore, the self-explosion defect of insulators has become an important task in power inspection. Therefore, this article proposes an improved YOLOv7 based algorithm for detecting self-exploding defects in insulators. Firstly, select the loss function WIoU to reduce the missed detection rate; Then, use the CARAFE module for feature recombination to improve the detection accuracy of the model; Finally, the CBAM attention mechanism is cited to further improve the model performance. Through experimental verification, the improved YOLOv7 model has good detection performance, with mAP@.5% and Recall increased by 1.3% and 2.4% respectively, making it more suitable for detecting self-exploding defects in insulators.
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