A track alignment irregularity measuring method based on a double-antenna GNSS/INS

Abstract

The invention discloses a track alignment irregularity measuring method based on double antennas GNSS / INS. The invention aims to overcome the defects in the prior art. A track detector is used as a carrier; a dynamic reference station is constructed to achieve double-antenna GNSS high-precision differential measurement, measured high-precision GNSS data are used for correcting INS accumulative errors, track alignment data of the other side of the track is obtained through combining track gauge data after the track alignment data of one side of the track is obtained, and therefore continuous and accurate track alignment irregularity measurement data are obtained. The method comprises the following steps: 1, equipment is installed; step 2, initialization of the equipment; step 3, data measurement; step 4, fusing of the data; and 5, calculation of the track alignment.

Description

technical field [0001] The invention relates to the field of railway line detection, in particular to a method for measuring track irregularity based on dual-antenna GNSS / INS. Background technique [0002] The rail direction (the curve segment is called the positive vector) refers to the horizontal change of the measuring point on the inner surface of the rail along the longitudinal direction due to hard bending of the rail, loose fasteners, and poor slope of the relaxation curve. The direction in which the left and right tracks are moving. The track direction is of great significance to the stability of the train, because the poor track direction will cause the train to swing left and right, aggravate the wheel-rail lateral force, and cause line disease, especially for high-speed trains. Severe irregularities in the direction of the rail will cause a large lateral force, which may cause the rails in the sleeper and bad fastening parts to tip over or the rail row to move la...

AI Technical Summary

Problems solved by technology

Inertial devices have the advantages of high short-term measurement accuracy, high data update rate, and strong anti-interference ability, but the measurement process does not refer to the external environment but is carried out through internal integral calculations, so errors will quickly accumulate over time

Moreover, this cumulative error is a problem in principle, so it can only be corrected by additional external means, which affects the continuity of measurement and makes the detection algorithm more complicated

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