Steel rail mileage estimation method based on information fusion

Abstract

The invention relates to the field of rail transit and steel rail flaw detection, and discloses a steel rail mileage estimation method based on information fusion. The method comprises the following steps: S1, collecting odometer data; S2, collecting GPS data and converting the GPS data into mileage data; S3, respectively modeling odometer measurement data and GPS mileage data by utilizing Kalmanfiltering; and S4, performing data fusion by utilizing Kalman filtering and obtaining position information. According to the invention, real-time intelligent detection of steel rail flaw detection mileage position information is realized through application of an intelligent algorithm, flaw detection mileage data acquisition is completed, flaw detection positioning is realized, the real-time performance and the accuracy of flaw detection work are improved, repeated flaw detection is prevented from wasting human resources and reducing the operation efficiency, the mileage of the damaged part ofthe steel rail is better estimated, and effective information is provided for safety protection and operation safety of railways.

Description

technical field [0001] The invention relates to the field of rail transit and rail flaw detection, in particular to a rail mileage estimation method based on information fusion. Background technique [0002] In recent years, China's rail transit has developed rapidly. As of the end of 2018, the total operating mileage of national railways has reached more than 131,000 kilometers, an increase of 5 times compared with 1949. The connection and distribution of rail stations are the extension of rail mileage, and the national railway operating mileage has increased significantly. The increase also means a sharp increase in the workload of railway rail flaw detection, so the accuracy of rail mileage positioning and recording also greatly affects the accuracy and effectiveness of later damage review and rail replacement. [0003] Rail flaw detection vehicle is a kind of track maintenance equipment for damage detection of in-service steel rails in the railway industry. In addition t...

AI Technical Summary

Problems solved by technology

However, the task of flaw detection is heavy, the flaw detection operation goes back and forth, the damage review and elimination work is cumbersome and complicated, and the flaw detection analysis relies on manpower, which is inefficient. It is not conducive to the re-examination and exclusion work. It is urgent to use modern, intelligent, and information-based technical means to upgrade the flaw detection equipment so that it can also have the odometer function and record the flaw detection mileage signal more accurately and quickly, output position information, and determine track damage. Line mileage for later damage review and rail replacement

[0004] However, due to the deviation of the flaw detection equipment moving up and down the track during on-site flaw detection, the possible offset of the installation position of the ultrasonic sensor of the flaw detection equipment, the random error of human movement and placement, and the systematic error of GPS data output, or the detection of trolleys During the driving process, due to vibration, the image angle obtained by the ultrasonic sensor is wrong, etc., which may cause the mileage data measured by the odometer to correspond to the mileage data converted by GPS. Display delay and inaccuracy

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