With the rapid development of the petrochemical industry,tanker trucks as the main transportation tool for hazardous chemicals,play a crucial role in the safety of railway and highway transportation.This study aims to explore the in-service thermal imaging and acoustic emission detection methods for tank trucker defects and leaks.By analyzing the changes in the surface temperature gradient of the tank body and the high-frequency vibration signals generated during leaks,a multi-modal data fusion in-service inspection strategy based on long-wave infrared thermal imaging and acoustic emission technology is proposed.This strategy,through data fusion processing,achieves autonomous inspection of abnormal states of the tanker truck body,providing solid technical support for the safe transportation of tanker trucks.
Tanker truckInfrared thermographyAcoustic emission testingMultimodal data fusionNon-destructive testing
维普
万方数据
