The power supply system is a huge network structure with complex connection modes.Moreover

the ambient temperature of the gas turbine power plant varies widely

which makes it difficult to detect the abnormal temperature.Therefore

it designs an anomaly detection method for gas turbine power plant power supply system based on infrared sensing.It uses the infrared thermal imaging sensing system to collect infrared thermal sensing images of power supply system of gas turbine power plant.Using infrared sensing technology

it estimates the abnormal hot spots of gas turbine power supply system.Based on this

it uses the support vector machine model to classify the normal temperature state and abnormal temperature state

and the abnormal power supply system of the gas turbine power plant is accurately detected.The experimental results show that the infrared image of the gas turbine power plant power supply system collected by the research method using infrared sensing technology is clearer

and the temperature anomaly detection has a high accuracy.