A deformation monitoring method for extra-large bridges based on medium and long baseline GNSS monitoring network

Abstract

A method for super-large bridge deformation monitoring based on a medium and long-term baseline GNSS monitoring network includes the following steps: using a dual-frequency receiver to receive GPS signals in the central area of the bridge B at the monitoring area, and calculating the ionospheric delay information in the direction of the satellite's line of sight; broadcasting the ionospheric delayinformation in the step 1, configuring the ionospheric delay correction parameters at a monitoring station at the position B and sending the ionospheric delay correction parameters to a mobile communication network in real time; using a single-frequency receiver in the monitoring area to receive the ionospheric delay information broadcast in the step 2 and calculating an ionospheric delay correction value and its accuracy after reference unification; using the dual-frequency receiver to receive the GPS signals at a reference station A far from the monitoring area, and using the above steps tofind the ionospheric delay correction and removing an average value to obtain the ionospheric delay correction parameter of the reference station through pseudorange and carrier, and removing the ionospheric delay error of the monitoring area; and correcting the coordinates of a measuring station site in the monitoring area. This method can help to achieve high-precision deformation monitoring ofsuper-large bridges.

Description

technical field [0001] The invention relates to a method for monitoring deformation or displacement of structures, in particular to a method for monitoring deformation of a super-large bridge based on a medium-long baseline GNSS monitoring network. Background technique [0002] With the widespread use of radio frequency identification (Radio Frequency Identification, RFID) technology in intelligent transportation, mobile medical care, digital libraries and other fields, the security issues caused by it have attracted much attention. The identifier of an RFID tag is usually unique. If the tag responds the same to the reader every time it visits, it will easily lead to tracking attacks and replay attacks against the tags. [0003] GNSS technology monitoring, as the latest monitoring method, is used for bridge deformation monitoring. It has strong fluidity, high precision, and fast acquisition speed, which greatly improves the efficiency of bridge inspection data acquisition. H...

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Problems solved by technology

[0011] The main problems of the first type of model (empirical model) are: low precision, time-consuming and labor-intensive measurement of multiple atmospheric parameters in the area, etc.

[0015] The disadvantage of the second type of model is that it needs ionospheric VTEC data at several locations in the measured area; the regional fitting model needs to be selected and constructed, and the accuracy of the constructed fitting model varies greatly

[0017] To sum up, in the prior art, when the medium and long baseline GNSS monitors the bridge, the ionospheric errors observed by the reference stations at both ends and the observation stations lack a high degree of spatial correlation, and the accuracy of the ionospheric correction cannot be directly improved by double difference

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