Transmission Line Equipment Infrared Diagnosis Using an Improved Pulse-Coupled Neural Network

Abstract

In order to detect the status of power equipment from infrared transmission line images under the spatial positioning relationship of the transmission line equipment, such as corridor, substation equipment, and facilities, this paper presents an improved PCNN model which merges an optimized parameter setting method. In this PCNN model, the original iteration mechanism is abandoned, and instead, the thresholding model is built by the maximum similarity thresholding rule. To ensure similarity during classifying neighboring neurons into cluster centers, a local clustering strategy is used for setting the linking coefficient, thus improving the efficiency of the method to detect the power equipment in infrared transmission line images. Finally, experimental results on transmission line infrared images show that the proposed method can provide the basis for the diagnosis of power equipment, preventing the casualties and property damage caused by the thermal damage of power equipment, and effectively improving the safety risk identification and operation control ability of power grid engineering.

The research on infrared radiation affected by smoke or fog in different environmental temperatures

“…where D represents the distance from the infrared thermal imager to the target object, the absorption extinction coefficient σ a of smoke is 1.5 g/m 2 , and the mass concentration c of smoke is 0.885 g/m 3 .The attenuation due to scattering is shown in Eq. ( 12).…”

“…These measurements were conducted in a normal environment, a fog environment, and a smoke environment, respectively (Supplementary Figs. [1][2][3][4][5][6][7][8][9][10]. The data for the target temperatures in the normal environment are detailed in Table 3.…”

“…Thermal imaging serves as a non-contact detection method, producing images by capturing infrared radiation emitted from an object's surface 1 . It enables the visualization of target objects under varying environmental temperatures, finding applications in fire detection 2 , power grid risk identification 3 , driving assistance 4 , medicine 5 , and more. For instance, during fire incidents, substantial smoke is produced, rendering visible light penetration impossible, as illustrated in Fig.…”

Thermal fault diagnosis of complex electrical equipment based on infrared image recognition

“…Substations serve as fundamental units within the power system, primarily responsible for the reception, transformation, and distribution of electric energy. They house critical electrical equipment, including potential transformers, current transformers, circuit breakers, and switches 1 . The collective functioning and stable operation of this equipment are pivotal for ensuring the safety and reliability of power transmission.…”