CN-122017901-A - Data quality inspection method based on Beidou third-generation satellite

CN122017901ACN 122017901 ACN122017901 ACN 122017901ACN-122017901-A

Abstract

The invention relates to a data quality inspection method based on Beidou third-generation satellites, which comprises the steps of obtaining original observation data of the Beidou third-generation satellites received by a reference station, analyzing the original observation data to obtain an observation file, preprocessing the observation file to obtain Zhou Tiaoshu quantity and multi-jump errors, indicating that the reference station operates abnormally if an obtained signal-to-noise ratio observation value is larger than a preset reference station signal-to-noise ratio threshold value, generating an operation maintenance signal, otherwise, calculating a reference station monitoring coefficient based on the signal-to-noise ratio observation value, the preset reference station signal-to-noise ratio threshold value, the number of cycle hops and the multi-jump errors, judging the relation between the reference station monitoring coefficient and the preset reference station monitoring coefficient threshold value, and obtaining a data quality inspection result based on a judgment result.

Inventors

SONG LEI
LI LANXIN
WEN KAI
Zhu Liangteng
YANG DI
ZHANG ZHOU
HU QUANGUI
ZHENG YUEFENG
WANG YONG
PAN BIAO
JI FULONG
ZHOU MENG
WANG BINGHUI

Assignees

国网思极位置服务有限公司

Dates

Publication Date: 20260512
Application Date: 20260119

Claims (10)

1. The data quality inspection method based on the Beidou third-generation satellite is characterized by comprising the following steps of: Acquiring original observation data of the Beidou third-generation satellite received by a reference station; Analyzing the original observation data to obtain an observation file, and preprocessing the observation file to obtain Zhou Tiaoshu quantity and multi-jump errors; If the obtained signal-to-noise ratio observation value is larger than a preset signal-to-noise ratio threshold value of the reference station, the signal-to-noise ratio observation value indicates that the reference station operates abnormally, and an operation maintenance signal is generated; And judging the relation between the reference station monitoring coefficient and a preset reference station monitoring coefficient threshold value, and obtaining a data quality inspection result based on the judgment result.
2. The method for detecting data quality based on the Beidou third-generation satellite according to claim 1, wherein the Beidou third-generation satellite comprises at least one satellite system selected from the group consisting of a GPS satellite, a BDS satellite, a GLONASS satellite and a QZSS satellite.
3. The method for detecting data quality based on Beidou third-generation satellites according to claim 1, wherein the format of the original observation data at least comprises one of RTCM3.0, RTCM3.1, RTCM3.2, RTCM3.3, RTCM2.3, RTCM2.4 and CMR format; the format of the observation file is rinex format.
4. The method for detecting quality of data based on the Beidou third-generation satellite according to claim 1, wherein the preprocessing further comprises: and eliminating the original observed data with the error exceeding a preset range based on the error between the pseudo range and the carrier phase in the original observed data.
5. The data quality inspection method based on the Beidou third-generation satellite of claim 1, wherein the Zhou Tiaoshu measuring method comprises the following specific calculation steps: extracting pseudo-range observation values and carrier phase observation values of a specified satellite on preset frequency points from the preprocessed observation file, wherein the preset frequency points at least comprise B1C frequency points, B2a frequency points and B3I frequency points of the Beidou third generation; Constructing a combined observation value sequence of the B1C frequency point and the B2a frequency point by adopting a geometric distance-free combination method; If the difference value of the combined observation value sequence between the continuous epochs exceeds a preset first threshold value, preliminarily marking the cycle slip position; further utilizing a three-frequency geometric distance-free combination method to construct cycle slip verification values among the B1C frequency point, the B2a frequency point and the B3I frequency point to verify cycle slip positions of the preliminary marks; If the variation of the cycle slip verification value between the continuous epochs exceeds a preset second threshold value, confirming that cycle slip occurs; and counting the total number of the events for confirming occurrence of cycle slips in a preset quality inspection time window, and recording the total number as the cycle slip number.
6. The data quality inspection method based on the Beidou third-generation satellite of claim 5, wherein the specific calculation steps of the multi-hop error are as follows: Extracting pseudo-range observation values and carrier phase observation values of a specified satellite on preset frequency points from the preprocessed observation file, wherein the preset frequency points at least comprise B1C frequency points and B2a frequency points of the Beidou third generation; and calculating a double-frequency point observation value by using the pseudo-range observation values of the B1C frequency point and the B2a frequency point and the carrier phase, wherein the calculation mode is as follows: ; ; In the formula, Representing a double-frequency point observation value; Pseudo-range observation values representing B1C frequency points; carrier wave wavelength of the B1C frequency point is represented; Representing carrier phases of the B1C frequency points; carrier wave wavelength of the B2a frequency point is represented; the carrier phase of the B2a frequency point; representing the center frequency coefficient; the center frequency of the B1C frequency point is represented; The center frequency of the B2a frequency point is represented; Counting the observation values of the double-frequency points in a preset time window, and calculating the standard deviation of the observation values as a multipath error intensity index of a specified satellite in a current epoch; and carrying out weighted average on all multipath error intensity indexes in the current epoch to obtain a multi-hop error.
7. The data quality inspection method based on the Beidou third-generation satellite of claim 6, wherein the reference station monitoring coefficient is calculated based on a signal-to-noise ratio observation value, a preset reference station signal-to-noise ratio threshold value, the number of cycle hops and a multi-hop error in the following calculation mode: ; In the formula, Represent the first Reference station monitoring coefficients for the individual signal-to-noise ratio observations; Representing a correction factor; Representing a first scale factor; representing a second scaling factor; Representing a third scaling factor; Represent the first A signal-to-noise ratio observation; Representing a preset signal-to-noise ratio threshold value of the reference station; Indicating the number of cycle slips; Representing the total number of observation epochs; Representing a multi-hop error; If the reference station monitoring coefficient is smaller than the reference station monitoring coefficient threshold, judging that the quality of the current signal-to-noise ratio observation value is qualified; And if the reference station monitoring coefficient is greater than or equal to the reference station monitoring coefficient threshold, judging that the quality of the current signal-to-noise ratio observation value is unqualified, and discarding the current signal-to-noise ratio observation value.
8. Data quality inspection system based on big dipper third generation satellite, its characterized in that, the system includes: the data acquisition module is used for acquiring original observation data of the Beidou third-generation satellite received by the reference station; the data processing module analyzes the original observation data to obtain an observation file, and preprocesses the observation file to obtain Zhou Tiaoshu quantity and multi-jump errors; The quality detection module is used for indicating that the reference station operates abnormally and generating an operation maintenance signal if the acquired signal-to-noise ratio observation value is larger than a preset signal-to-noise ratio threshold value of the reference station, and calculating a reference station monitoring coefficient based on the signal-to-noise ratio observation value, the preset signal-to-noise ratio threshold value of the reference station, the cycle slip number and the multi-hop error if the acquired signal-to-noise ratio observation value is not larger than the preset signal-to-noise ratio threshold value of the reference station; And judging the relation between the reference station monitoring coefficient and a preset reference station monitoring coefficient threshold value, and obtaining a data quality inspection result based on the judgment result.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 7.

Description

Data quality inspection method based on Beidou third-generation satellite Technical Field The invention relates to the technical field of data quality detection, in particular to a data quality detection method based on Beidou third-generation satellites. Background Along with the acceleration of the modernization process of the global navigation satellite system, the frequency band number of satellite signals is continuously increased, and especially in the professional fields of an electric Beidou system and the like, the data quality directly influences the acquisition efficiency and stability of a fixed solution of a terminal, wherein the problems of pseudo-range deviation, carrier phase cycle slip, multipath interference, abnormal signal-to-noise ratio and the like existing in original observation data and ephemeris data can directly lead to the reduction of the positioning solution precision, slow convergence and even failure of the fixed solution. The invention patent application of China with the publication number of CN119322813A discloses a quality analysis management system and method based on Beidou reference station network observation data. The technical scheme includes a data conversion module used for carrying out data conversion on original Beidou observation data collected by a reference station, a data splicing module used for splicing an hour file of the observation data into a day file, a data checking module used for storing the data file in a text form and carrying out normalization auditing on a file header, a data quality analysis module used for reading GNSS observation data and navigation ephemeris data of the reference station and realizing data quality analysis of a BDS/GPS/Galileo/GLONASS navigation system and all public navigation frequency points, a visual display module used for displaying quality images and index value information of the reference station, and a data editing module used for editing data. The technical scheme focuses on the generalized quality analysis of a multi-navigation system (BDS/GPS/Galileo/GLONASS) and all public frequency points, special optimization is not carried out on special signal characteristics (such as new frequency point characteristics of B1C, B a and the like and observed data format differences) of the Beidou third-generation satellites, the new frequency points and a new protocol are not fully adapted, the analysis capability of Beidou third-generation new frequency point data is not enough, coding rules of Beidou new system signals in an RTCM33 supplementary protocol are not fully adapted, in addition, the linkage analysis mechanism is not established in the technical scheme, a signal-to-noise ratio threshold judgment rule for the Beidou third-generation data is not established, and abnormal operation of equipment cannot be identified through correlation of signal-to-noise ratio and core errors, meanwhile, the technical scheme does not design a comprehensive evaluation model fusing a core error index for the Beidou third-generation data, accurate quantitative quality conclusion of the data quality cannot be achieved, and only single dimension index or file standardization can be provided. Disclosure of Invention In order to solve the problems in the prior art, the invention provides a data quality inspection method based on Beidou third-generation satellites. The technical scheme of the invention is as follows: in one aspect, the invention provides a data quality inspection method based on Beidou third-generation satellites, which comprises the following steps: Acquiring original observation data of the Beidou third-generation satellite received by a reference station; Analyzing the original observation data to obtain an observation file, and preprocessing the observation file to obtain Zhou Tiaoshu quantity and multi-jump errors; If the obtained signal-to-noise ratio observation value is larger than a preset signal-to-noise ratio threshold value of the reference station, the signal-to-noise ratio observation value indicates that the reference station operates abnormally, and an operation maintenance signal is generated; And judging the relation between the reference station monitoring coefficient and a preset reference station monitoring coefficient threshold value, and obtaining a data quality inspection result based on the judgment result. Preferably, the Beidou third-generation satellite comprises at least one satellite system selected from GPS satellites, BDS satellites, GLONASS satellites and QZSS satellites. Preferably, the format of the original observation data at least comprises one of RTCM3.0, RTCM3.1, RTCM3.2, RTCM3.3, RTCM2.3, RTCM2.4 and CMR formats; the format of the observation file is rinex format. Preferably, the pretreatment further comprises: and eliminating the original observed data with the error exceeding a preset range based on the error between the pseudo range and the carrier phase in the original observed d