Near real-time deformation monitoring method for multi-gnss long baselines with multiple base stations

Abstract

The invention provides a multi-GNSS (Global navigation satellite system) long baseline near-real-time deformation monitoring method based on multiple base stations. In order to improve the accuracy of long baseline calculation, an ultrafast multi-GNSS satellite orbit product is used to reduce the influence of orbit error on baseline calculation. The influence of abnormal data on baseline calculation is presented as much as possible through multiple posterior residual editing iterations. Near-real-time high-precision baseline calculation can be realized through a sliding window-based batch processing mode. The precision and stability of baseline calculation can be improved through a multi-base-station joint processing mode. The precision of baseline calculation is further improved by using a creative ambiguity processing strategy. In order to improve the efficiency of data processing, a normal equation stacking technology is used and the previous normal equation information is fully utilized to avoid repeated calculation. A shared base station is used for processing, and repeated processing by the same base station is avoided. By using an un-differenced processing mode, the advantage of distributed computing can be fully utilized, and the efficiency of data processing can be improved.

Description

technical field [0001] The invention relates to the technical field of deformation monitoring, in particular to a multi-GNSS long baseline near real-time deformation monitoring method based on multiple base stations. Background technique [0002] GNSS (Global navigation satellite system, global satellite positioning system) deformation monitoring is an important technology related to the safety of people's lives and property. It has a large number of applications in dangerous building monitoring, landslide monitoring, dam monitoring and other working conditions. Traditional deformation monitoring is only carried out to solve specific businesses. With the development of the national economy, the demand for large-scale deformation monitoring services is becoming more and more obvious, such as nationwide monitoring of dilapidated buildings, landslide monitoring along long-distance railways, and settlement monitoring of long-distance power towers. [0003] GNSS deformation monit...

AI Technical Summary

Problems solved by technology

In order to meet the near-real-time deformation monitoring business needs of large-scale spans such as dangerous building monitoring, landslide monitoring along long-distance railway lines, and settlement monitoring of long-distance power towers across the country, the current traditional algorithm for short and medium baseline lengths cannot meet large-scale business needs. Moreover, the traditional processing algorithm is not efficient for the working conditions of tens of thousands of monitoring points.

In addition, traditional deformation monitoring is a business developed for specific needs, and the number of users is small

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