In order to study the influences of environmental factors such as temperature

humidity

wind speed and air pressure on the detection of corona discharge ultraviolet imaging

the rod plate gap model is taken as the research object in this paper. The ultraviolet visual frequency signals of AC discharge under different environmental factors are collected by using the CoroCAM504 ultraviolet imager at 70% gain. The experimental results show that the area of the discharge spot increases non-linearly with temperature. The area of the discharge spot decreases with increasing humidity

and a power-law relationship governs this behaviour. At a humidity of 40% to 90%

the power index varies from 1.6 to 2.6. Wind speed weakens coronal discharge: when the wind speed is 12 m/s and the voltage is 50 kV

the discharge spot area is reduced by 76.7% compared with that in windlessl conditions. Air pressure has a significant effect on ultraviolet imaging. The test results in Kunming

Yunnan Province and Baoding

Hebei Province are basically the same as those in the laboratory. On the basis of the above experimental research

the method of normalization of discharge spot area is proposed based on the modified coefficient method

and the corrected relative error is generally less than 20%.