Abstract: Pipeline is the most economical and efficient transportation mode of oil and gas. It is very important to ensure the safety and integrity of pipeline. Nondestructive testing of pipeline is a powerful guarantee for the safe and stable operation of oil and gas pipeline. In the data processing of pipeline inspection, the multi-sensor data fusion model with low computational cost and high precision has a broad application prospect in the future pipeline defect identification quantification and contour reconstruction. In this paper, the multi-sensor data fusion technology and its application in the field of pipeline inspection were reviewed, the application of multi-sensor data fusion technology in composite inspection technology, pipeline defect identification and quantification was discussed, and the existing problems and future research directions were analyzed.