A Method of Geocoordinate Measurement Based on Inertial Navigation of Long Oil and Gas Pipelines
Abstract
In order to solve the problem of geocoordinate measurement and trajectory distribution of buried long oil and gas pipelines, the positioning accuracy of pipeline is improved. In this paper, the data fusion of the mileage data by Kalman filtering algorithm is used to solve the segmented trajectories of gyroscope and accelerometer observation data collected by inertial navigation system. Calculating the total mileage of 49.902 km, each position error with checkpoint contrast are controlled to less than 1 m. The overall trend with map match exactly, integrated positioning accuracy is 0.928 ‰. It has a certain reference for using inertial navigation technology buried long distance oil and gas pipeline geographic coordinates measurement.
Keywords
Inertial navigation system, Kalman filter algorithm, Geographic coordinates, Data fusion, Positioning accuracy
DOI
10.12783/dtcse/aiie2017/18196
10.12783/dtcse/aiie2017/18196
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