Superconducting inductive pulsed power supplies have attracted a lot of attention due to its lower electrical loss and higher energy storage density than traditional inductors. To effectively improve charging rate and output continuous current pulses, a repetitive inductive pulsed power supply circuit topology based on high-temperature superconducting (HTS) pulsed power transformer was proposed and simulated in our previous studies. This paper aims to further study the feasibility of the repetitive inductive pulsed power supply circuit topology through experiments. A small air-core HTS pulsed power transformer and a bridge-type capacitor switching circuit were used to build the experimental platform. The experimental results show that the bridge-type capacitor switching circuit can shorten the charging time of each new cycle and the repetitive inductive pulsed power supply circuit is feasible for continuous current pulse output.

The environmental conditions affect the external insulation performance of power equipment. In order to study the physical characteristics of air discharge, the microscopic process of electron–molecule collision in the air based on the Boltzmann equation has been studied in this paper. The influence of humidity on the air gap insulation performance was also analyzed. The calculation results show that with the temperature 300 K and the pressure 1.0 atm, the electron energy distribution function and electron transport parameters varied with the air relative humidity. As the air relative humidity is increased by each 30%, the average electron energy decreases by about 0.2 eV, the reduced electron mobility decreases by about 0.25 × 10²³ [1/(V·m·s)], the reduced electron diffusion coefficient decreases by about 0.2 × 10²⁴ [1/(m s)], and the effective ionization coefficient decreases by about 4 × 10⁻²⁴ m². As the air relative humidity increases from 0% to 60%, the critical breakdown electric field increases by 1.22 kV/cm.

In this research, an image defogging algorithm is proposed for the electricity transmission line monitoring system in the smart city. The electricity transmission line image is typically situated in the top part of the image which is rather thin in size. Because the electricity transmission line is situated outside, there is frequently a sizable amount of sky in the backdrop. Firstly, an optimized quadtree segmentation method for calculating global atmospheric light is proposed, which gives higher weight to the upper part of the image with the sky region. This prevents interference from bright objects on the ground and guarantees that the global atmospheric light is computed in the top section of the image with the sky region. Secondly, a method of transmission calculation based on dark pixels is introduced. Finally, a detail sharpening post-processing based on visibility level and air light level is introduced to enhance the detail level of electricity transmission lines in the defogging image. Experimental results indicate that the algorithm performs well in enhancing the image details, preventing image distortion and avoiding image oversaturation.