GNSS high-precision data automatic processing method and system
Through the automated GNSS data processing method, the low efficiency of manual operation in the existing technology is solved, and efficient and automated three-dimensional coordinate acquisition is achieved, with data accuracy evaluation and visualization effects.
Patent Information
- Application Number
- CN202411959505.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-09-16
AI Technical Summary
In the existing technology, obtaining the three-dimensional coordinates of the GNSS observation station requires manual operation, which is inefficient.
A method for automatically processing high-precision GNSS data is designed, including data downloading, quality inspection, and group processing. It automates single-day relaxation solutions and coordinate transformations to achieve efficient three-dimensional coordinate acquisition without manual operation.
It realizes the automatic acquisition of high-precision three-dimensional coordinates without manual operation, improves efficiency, reduces labor costs, and has data accuracy evaluation and visualization effects, and is easy to operate.
Smart Images
Figure CN120652503A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a GNSS data processing method and system, belonging to the field of geodetic surveying, navigation and positioning, and in particular to a GNSS high-precision data automatic processing method and system. Background Art
[0002] During the operation of the BeiDou satellite navigation system, it is necessary to establish, maintain and refine the daily high-precision three-dimensional coordinates of the GNSS observation stations to ensure the stable and accurate operation of the BeiDou satellite navigation system.
[0003] A Chinese patent application with application number 202111624612.4 and application date of December 28, 2022 discloses an integrated indoor and outdoor positioning method, including receiving regional information of the target station, the regional information including an outdoor unobstructed area, an outdoor obstructed area, an indoor-outdoor transition area, or an indoor area; based on the regional information, a corresponding preset combination positioning algorithm is screened out from a preset positioning algorithm database, and the target station is positioned according to the preset combination positioning algorithm. Although this design achieves matching of corresponding preset combination positioning algorithms for target stations in different areas to overcome different complex positioning environments, improves the accuracy of positioning the target station, and meets the needs of precise positioning, it still has the following defects: In this design, the three-dimensional coordinates of the target station are determined through a variety of combined algorithms. However, in the process of determining the three-dimensional coordinates of the target station, it is often necessary to manually execute multiple algorithms in sequence every day to determine the three-dimensional coordinates of the target station. Therefore, the efficiency of obtaining the three-dimensional coordinates of this design is low.
[0004] The information disclosed in this background technology section is only intended to increase the understanding of the overall background of the application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to ordinary technicians in this field. Summary of the Invention
[0005] The purpose of the present invention is to overcome the defects and problems of the prior art that require manual operation and have low efficiency in obtaining three-dimensional coordinates, and to provide a GNSS high-precision data automatic processing method and system that does not require manual operation and has high efficiency in obtaining three-dimensional coordinates.
[0006] To achieve the above objectives, the technical solution of the present invention is: A method for automatically processing GNSS high-precision data, comprising the following steps: Step 1: First, download the GNSS original observation data and external network satellite ephemeris data, wherein the GNSS original observation data includes the original observation data of multiple GNSS stations to obtain the data to be processed, and the first step is completed; Step 2: First, perform a quality check on the data to be processed, and then obtain a quality result of the data to be processed, wherein the quality result includes high data accuracy or low data accuracy, and the second step ends; Step 3: First, group the data to be processed according to the specified method to obtain multiple data networks to be processed, and then perform single-day relaxation solution processing on the multiple data networks to be processed in turn to obtain single-day relaxation solution results of multiple network areas, and then merge the single-day relaxation solution results of multiple network areas to obtain a single-day relaxation solution result for the entire station, and then convert the single-day relaxation solution result for the entire station into a reference frame to obtain a site coordinate information file, and then obtain the single-day high-precision three-dimensional coordinates of the GNSS observation site from the site coordinate information file, and the third step ends.
[0007] In the first step, the downloading of the GNSS original observation data and the external network satellite ephemeris data is performed by first setting a data download time, and then downloading the GNSS original observation data and the external network satellite ephemeris data when the data download time arrives; In the second step, the quality check of the data to be processed is performed by first setting a quality check time, and when the quality check time is reached, performing the quality check on the data to be processed; In the third step, the data to be processed are grouped according to a specified method by first setting a data positioning time, and then grouping the data to be processed according to the specified method after the data positioning time is reached.
[0008] In the second step, the quality check of the data to be processed is to perform quality checks on the signal-to-noise ratio, multipath effect, cycle slip, and data efficiency of the signals of different satellites and different frequency bands from each satellite to the GNSS observation station in the data to be processed.
[0009] In the third step, the site coordinate information file is obtained by first obtaining the site coordinate information file, then extracting the site coordinate information file to obtain the coordinate time series of each site, then performing time series processing and drawing on the coordinate time series to obtain the coordinate time series, and then using the coordinate time series to calculate the distance between the two points to obtain the baseline time series.
[0010] In the third step, the baseline time series is obtained by first obtaining the baseline time series, then grouping multiple GNSS observation sites into an area, and then calculating the strain rate based on the original observation data of the GNSS observation sites in the area.
[0011] In the third step, the sequentially performing single-day relaxation solution processing on the multiple data networks to be processed is first sequentially performing data correction on the multiple data networks to be processed to obtain a corrected data network to be processed, and then sequentially performing single-day relaxation solution processing on the multiple data networks to be processed.
[0012] In the first step, downloading the GNSS original observation data and external network satellite ephemeris data is downloading the GNSS original observation data, external network satellite ephemeris data, stream layer data, and model correction files.
[0013] In the third step, the data correction of multiple data networks to be processed is first performed using a model correction file to correct the solid tide, extreme tide, and ocean tide in the multiple data networks to be processed, and then the model correction file is used to correct the stratum delay in the multiple data networks to be processed, and then multiple network area single-day relaxation solution results are obtained, and the network area single-day relaxation solution results include the single-day relaxation solution of the station coordinates, the single-day relaxation solution of the satellite orbit, and the single-day relaxation solution of the zenith tropospheric delay.
[0014] In the third step, the single-day relaxation solution results of multiple network areas are merged to obtain a single-day relaxation solution result for the entire station. The single-day relaxation solution results of multiple network areas are merged with the single-day relaxation solution of the global IGS station using GLOBK software to obtain a single-day relaxation solution result for the entire station.
[0015] A system for running a GNSS high-precision data automated processing method, the system comprising a data download module, a quality inspection module, and a data positioning module; The data download module is connected to the memory signal, and is used to download the GNSS original observation data and the external network satellite ephemeris data and store them in the memory; The quality inspection module is connected to the memory signal, and the quality inspection module is used to perform quality inspection on the data to be processed in the memory; The data locating module is connected to the memory signal, and is used to locate the data to be processed in the memory.
[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention provides a method and system for automatically processing GNSS high-precision data, the method comprising the following steps: a first step: first downloading the data to be processed; a second step: first performing a quality check on the data to be processed to determine whether the data accuracy is high or low for user reference; a third step: first grouping the data to be processed to obtain a data network to be processed, then performing a single-day relaxation solution on the data network to obtain multiple single-day relaxation solution results, then merging the multiple single-day relaxation solution results to obtain a single-day relaxation solution result for the entire station, then converting the single-day relaxation solution result for the entire station into a reference frame to obtain station coordinate information, and then obtaining the single-day high-precision three-dimensional coordinates of the GNSS observation station from the station coordinate information. The advantages of the present invention also include: First point: The first, second, and third steps are automatically performed in sequence to obtain the high-precision three-dimensional coordinates of the target station. No manual operation is required, which saves labor costs and makes the acquisition of three-dimensional coordinates more efficient. The running time of the first, second, and third steps can also be set to achieve the effect of automatically obtaining three-dimensional coordinates at a specified time. Second point: In the prior art, algorithms for processing data to be processed often only have one function, such as a data download function, a quality check function, or a function for calculating the three-dimensional coordinates of a target station. The user first manually runs the data download function, waits for the data download to complete, then manually runs the data check function, waits for the data check function to complete, then manually runs the function for calculating the three-dimensional coordinates of the target station, waits for the function for calculating the three-dimensional coordinates of the target station to complete, and finally obtains the three-dimensional coordinates of the target station. The entire process is relatively complex and difficult for users who are not good at code operation. However, the present invention integrates the first, second, and third steps into one, and automatically runs them in sequence to obtain the high-precision three-dimensional coordinates of the target station, making it more convenient to use. Therefore, the present invention does not require manual operation and has high efficiency in obtaining three-dimensional coordinates.
[0017] 2. In the present invention, a method and system for automated processing of high-precision GNSS data includes a second step in which the signal from each satellite to the GNSS observation station in different frequency bands is quality-checked for signal-to-noise ratio, multipath effect, cycle slips, and data efficiency. This allows users to determine the accuracy of the raw GNSS observation data. High data accuracy leads to high accuracy in the derived high-precision three-dimensional coordinates of the target station, making this quality check valuable. Therefore, the present invention has a certain degree of evaluability.
[0018] 3. In the present invention's method and system for automated processing of high-precision GNSS data, in the third step, after obtaining the site coordinate information file, the site coordinate information is extracted to obtain the coordinate time series, baseline time series, and strain rate, and a schematic diagram of the coordinate time series, baseline time series, and strain rate is drawn. The schematic diagram helps users better view the data, enhancing the visualization effect of the present invention. Therefore, the present invention has a better visualization effect.
[0019] 4. In a method and system for automated processing of high-precision GNSS data, the present invention includes a method for grouping the data to be processed to obtain a data network to be processed, performing data correction on the data network, merging the data networks to obtain a single-day relaxation solution for the entire station, and converting the single-day relaxation solution for the entire station into a reference frame to obtain a station coordinate information file. When used, the data to be processed is first corrected to improve its accuracy. Therefore, the present invention processes data with higher accuracy.
[0020] 5. The present invention provides a method and system for automatically processing high-precision GNSS data. The system includes a data download module, a quality inspection module, and a data positioning module. The aforementioned modules are all installed in a browser. When used, the browser is first installed, and then the data download module downloads the data to be processed. The quality inspection module then performs a quality inspection on the data to be processed. The data positioning module then processes the data to obtain the high-precision three-dimensional coordinates of the GNSS observation station for a single day. The relevant processing results can be directly displayed by the browser. The user can also click the data download button, the quality inspection button, and the data positioning button to run the data download module, the quality inspection module, and the data positioning module separately, achieving a visual operation effect. Compared with the existing technology that requires inputting code or algorithm, the difficulty of use is greatly reduced. Therefore, the present invention is easy to operate. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 It is a schematic diagram of the present invention.
[0022] Figure 2 yes Figure 1 Schematic diagram of data download.
[0023] Figure 3 yes Figure 1 Schematic diagram of quality inspection.
[0024] Figure 4 yes Figure 1 Schematic diagram of data positioning in .
[0025] Figure 5 yes Figure 1 Schematic diagram of product output.
[0026] Figure 6 It is an application schematic diagram of the present invention.
[0027] Figure 7 yes Figure 6 An enlarged view of the operation interface.
[0028] Figure 8 It is a visual display diagram of the present invention. DETAILED DESCRIPTION
[0029] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0030] See Figure 1 — Figure 8 , a method for automatically processing GNSS high-precision data, the method comprising the following steps: Step 1: First, download the GNSS original observation data and external network satellite ephemeris data, wherein the GNSS original observation data includes the original observation data of multiple GNSS stations to obtain the data to be processed, and the first step is completed; Step 2: First, perform a quality check on the data to be processed, and then obtain a quality result of the data to be processed, wherein the quality result includes high data accuracy or low data accuracy, and the second step ends; Step 3: First, group the data to be processed according to the specified method to obtain multiple data networks to be processed, and then perform single-day relaxation solution processing on the multiple data networks to be processed in turn to obtain single-day relaxation solution results of multiple network areas, and then merge the single-day relaxation solution results of multiple network areas to obtain a single-day relaxation solution result for the entire station, and then convert the single-day relaxation solution result for the entire station into a reference frame to obtain a site coordinate information file, and then obtain the single-day high-precision three-dimensional coordinates of the GNSS observation site from the site coordinate information file, and the third step ends.
[0031] In the first step, the downloading of the GNSS original observation data and the external network satellite ephemeris data is performed by first setting a data download time, and then downloading the GNSS original observation data and the external network satellite ephemeris data when the data download time arrives; In the second step, the quality check of the data to be processed is performed by first setting a quality check time, and when the quality check time is reached, performing the quality check on the data to be processed; In the third step, the data to be processed are grouped according to a specified method by first setting a data positioning time, and then grouping the data to be processed according to the specified method after the data positioning time is reached.
[0032] In the second step, the quality check of the data to be processed is to perform quality checks on the signal-to-noise ratio, multipath effect, cycle slip, and data efficiency of the signals of different satellites and different frequency bands from each satellite to the GNSS observation station in the data to be processed.
[0033] In the third step, the site coordinate information file is obtained by first obtaining the site coordinate information file, then extracting the site coordinate information file to obtain the coordinate time series of each site, then performing time series processing and drawing on the coordinate time series to obtain the coordinate time series, and then using the coordinate time series to calculate the distance between the two points to obtain the baseline time series.
[0034] In the third step, the baseline time series is obtained by first obtaining the baseline time series, then grouping multiple GNSS observation sites into an area, and then calculating the strain rate based on the original observation data of the GNSS observation sites in the area.
[0035] In the third step, the sequentially performing single-day relaxation solution processing on the multiple data networks to be processed is first sequentially performing data correction on the multiple data networks to be processed to obtain a corrected data network to be processed, and then sequentially performing single-day relaxation solution processing on the multiple data networks to be processed.
[0036] In the first step, downloading the GNSS original observation data and external network satellite ephemeris data is downloading the GNSS original observation data, external network satellite ephemeris data, stream layer data, and model correction files.
[0037] In the third step, the data correction of multiple data networks to be processed is first performed using a model correction file to correct the solid tide, extreme tide, and ocean tide in the multiple data networks to be processed, and then the model correction file is used to correct the stratum delay in the multiple data networks to be processed, and then multiple network area single-day relaxation solution results are obtained, and the network area single-day relaxation solution results include the single-day relaxation solution of the station coordinates, the single-day relaxation solution of the satellite orbit, and the single-day relaxation solution of the zenith tropospheric delay.
[0038] In the third step, the single-day relaxation solution results of multiple network areas are merged to obtain a single-day relaxation solution result for the entire station. The single-day relaxation solution results of multiple network areas are merged with the single-day relaxation solution of the global IGS station using GLOBK software to obtain a single-day relaxation solution result for the entire station.
[0039] A system for running a GNSS high-precision data automated processing method, the system comprising a data download module, a quality inspection module, and a data positioning module; The data download module is connected to the memory signal, and is used to download the GNSS original observation data and the external network satellite ephemeris data and store them in the memory; The quality inspection module is connected to the memory signal, and the quality inspection module is used to perform quality inspection on the data to be processed in the memory; The data locating module is connected to the memory signal, and is used to locate the data to be processed in the memory.
[0040] The supplementary description of the present invention is as follows: The GNSS mentioned in this invention refers to the Global Navigation Satellite System, which is an airborne radio navigation and positioning system that can provide users with all-weather three-dimensional coordinates, speed, and time information at any location on the Earth's surface or in near-Earth space. In order for this system to operate, it is necessary to obtain the daily high-precision three-dimensional coordinates of GNSS observation stations.
[0041] Example 1: See Figure 1 — Figure 8, a method for automatically processing GNSS high-precision data, the method comprising the following steps: Step 1: First, download the GNSS original observation data and external network satellite ephemeris data, wherein the GNSS original observation data includes the original observation data of multiple GNSS stations to obtain the data to be processed, and the first step is completed; Step 2: First, perform a quality check on the data to be processed, and then obtain a quality result of the data to be processed, wherein the quality result includes high data accuracy or low data accuracy, and the second step ends; Step 3: First, group the data to be processed according to the specified method to obtain multiple data networks to be processed, and then perform single-day relaxation solution processing on the multiple data networks to be processed in turn to obtain single-day relaxation solution results of multiple network areas, and then merge the single-day relaxation solution results of multiple network areas to obtain a single-day relaxation solution result for the entire station, and then convert the single-day relaxation solution result for the entire station into a reference frame to obtain a site coordinate information file, and then obtain the single-day high-precision three-dimensional coordinates of the GNSS observation site from the site coordinate information file, and the third step ends.
[0042] In the first step, the downloading of the GNSS original observation data and the external network satellite ephemeris data is performed by first setting a data download time, and then downloading the GNSS original observation data and the external network satellite ephemeris data when the data download time arrives; In the second step, the quality check of the data to be processed is performed by first setting a quality check time, and when the quality check time is reached, performing the quality check on the data to be processed; In the third step, the data to be processed are grouped according to a specified method by first setting a data positioning time, and then grouping the data to be processed according to the specified method after the data positioning time is reached.
[0043] Example 2: The basic content is the same as Example 1, except that: See Figure 1 — Figure 3 In the second step, the quality check of the data to be processed is to perform a quality check on the signal-to-noise ratio, multipath effect, cycle slip, and data efficiency of the signals of different satellites and different frequency bands from each satellite to the GNSS observation station in the data to be processed.
[0044] When applied, in the second step, the signal-to-noise ratio, multipath effect, cycle slip, and data efficiency of the signals from each satellite in the processed data to different satellites and different frequency bands of the GNSS observation station are quality checked, and the accuracy of the processed data is judged according to the specified standards. A high accuracy means that the accuracy of the subsequently obtained three-dimensional coordinates is high, and a low accuracy means that the accuracy of the subsequently obtained three-dimensional coordinates is low.
[0045] Example 3: The basic content is the same as Example 1, except that: See Figure 1 — Figure 8 In the third step, obtaining the site coordinate information file involves first obtaining the site coordinate information file, then extracting the site coordinate information file to obtain a coordinate time series for each site, then performing time series processing and plotting the coordinate time series to obtain a coordinate time series, and then using the coordinate time series to calculate the distance between two points to obtain a baseline time series. In the third step, obtaining the baseline time series involves first obtaining the baseline time series, then grouping multiple GNSS observation sites into a region, and then calculating the strain rate based on the raw observation data of the GNSS observation sites within the region.
[0046] When applied, after obtaining the site coordinate information file, the site coordinate information file is extracted to obtain the coordinate time series of each site, and then the coordinate time series is time-series processed and plotted to obtain the coordinate time series. The coordinate time series is then used to calculate the distance between two points to obtain the baseline time series. Multiple GNSS observation sites are then grouped into an area, and the strain rate is calculated based on the original observation data of the GNSS observation sites in the area. Information such as the coordinate time series, baseline time series, and strain rate can be displayed in the form of data or schematic diagrams for user viewing convenience.
[0047] Example 4: The basic content is the same as Example 1, except that: See Figure 1 — Figure 7 In the third step, the sequentially performing daily relaxation solution processing on multiple data networks to be processed is to first perform data correction on the multiple data networks to be processed in order to obtain the corrected data networks to be processed, and then sequentially perform daily relaxation solution processing on the multiple data networks to be processed. In the first step, the downloading of GNSS original observation data and external network satellite ephemeris data is to download GNSS original observation data, external network satellite ephemeris data, flow layer data, and model correction files. In the third step, the sequentially performing data correction on multiple data networks to be processed is to first use the model correction file to correct the solid tide, extreme tide, and ocean tide in the multiple data networks to be processed, and then use the model correction file to correct the flow layer delay in the multiple data networks to be processed, and then obtain the daily relaxation solution results of multiple network areas, and the daily relaxation solution results of the network areas include the daily relaxation solution of the station coordinates, the daily relaxation solution of the satellite orbit, and the daily relaxation solution of the zenith tropospheric delay. In the third step, the single-day relaxation solution results of multiple network areas are merged to obtain a single-day relaxation solution result for the entire station. The single-day relaxation solution results of multiple network areas are merged with the single-day relaxation solution of the global IGS station using GLOBK software to obtain a single-day relaxation solution result for the entire station.
[0048] When applied, in the first step, the data download module downloads the GNSS original observation data, external network satellite ephemeris data, stratum data, and model correction files for use in subsequent steps; in the third step, the data positioning module first groups the data to be processed according to a specified method to obtain multiple data networks to be processed; for example, 260 GNSS stations can be divided into four data networks to be processed according to region, or randomly divided into four data networks to be processed; the data positioning module then uses the model correction file (including the latest satellite and antenna absolute phase center correction model) to correct the solid tide, extreme tide, and ocean tide in the data network to be processed, and uses the model correction file (including the latest GPT2 global pressure and temperature model) to correct the tropospheric delay, and then obtains the results of the daily relaxation solutions of multiple network areas, which include the coordinates of the station, the satellite orbit, and the daily relaxation solutions of the zenith tropospheric delay; and then uses the GLOBK software to compare the results of the daily relaxation solutions of the multiple network areas with the SOPAC (Scripps Orbital and Permanent Array The daily relaxation solutions of the global IGS stations produced by the Global GNSS Center are combined to obtain a single-day relaxation solution for the entire station. Then, the GLOBK software is used to obtain the single-day coordinate solution processing result in the ITRF14 reference frame through a similarity transformation of 7 parameters (3 translations, 3 rotations, and 1 scale factor). In other words, the high-precision 3D coordinates of the GNSS observation station for a single day are obtained.
[0049] Example 5: The basic content is the same as Example 1, except that: See Figure 1 — Figure 7 A system for executing a method for automatically processing high-precision GNSS data includes a data download module, a quality inspection module, and a data positioning module. The data download module is connected to a memory signal and is used to download GNSS raw observation data and external satellite ephemeris data and store them in the memory. The quality inspection module is connected to the memory signal and is used to perform a quality inspection on the data to be processed in the memory. The data positioning module is connected to the memory signal and is used to perform data positioning on the data to be processed in the memory. Preferably, the system also includes a product output module, which is connected to the memory signal and is used to process the file generated by data positioning in the memory into information such as coordinate time series, baseline time series, and strain rate. Preferably, the data download module, quality inspection module, data positioning module, and product output module are disposed in a browser.
[0050] When applied, the data download module, quality inspection module, data positioning module, and product output module are set in the browser, that is, a B / S architecture is adopted, which is convenient for users to use; after setting the data download time, quality inspection time, data positioning time, and product output time, when the time arrives, the data download module, quality inspection module, data positioning module, and product output module will run automatically; users can also click the data download button, quality inspection button, data positioning button, and product output button to start the data download module, quality inspection module, data positioning module, and product output module respectively; the results of the product output module can be displayed directly in the browser and can be viewed directly without downloading.
[0051] The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiment. Any equivalent modifications or changes made by ordinary technicians in this field based on the contents disclosed in the present invention should be included in the protection scope recorded in the claims.
Claims
1. A method for automatically processing high-precision GNSS data, characterized by: The method comprises the following steps: Step 1: First, download the GNSS original observation data and external network satellite ephemeris data, wherein the GNSS original observation data includes the original observation data of multiple GNSS stations to obtain the data to be processed, and the first step is completed; Step 2: First, perform a quality check on the data to be processed, and then obtain a quality result of the data to be processed, wherein the quality result includes high data accuracy or low data accuracy, and the second step ends; Step 3: First, group the data to be processed according to the specified method to obtain multiple data networks to be processed, and then perform single-day relaxation solution processing on the multiple data networks to be processed in turn to obtain single-day relaxation solution results of multiple network areas, and then merge the single-day relaxation solution results of multiple network areas to obtain a single-day relaxation solution result for the entire station, and then convert the single-day relaxation solution result for the entire station into a reference frame to obtain a site coordinate information file, and then obtain the single-day high-precision three-dimensional coordinates of the GNSS observation site from the site coordinate information file, and the third step ends.
2. The method for automatically processing GNSS high-precision data according to claim 1, characterized in that: In the first step, the downloading of the GNSS original observation data and the external network satellite ephemeris data is performed by first setting a data download time, and then downloading the GNSS original observation data and the external network satellite ephemeris data when the data download time arrives; In the second step, the quality check of the data to be processed is performed by first setting a quality check time, and when the quality check time is reached, performing the quality check on the data to be processed; In the third step, the data to be processed are grouped according to a specified method by first setting a data positioning time, and then grouping the data to be processed according to the specified method after the data positioning time is reached.
3. The method for automatically processing GNSS high-precision data according to claim 1 or 2, characterized in that: In the second step, the quality check of the data to be processed is to perform quality checks on the signal-to-noise ratio, multipath effect, cycle slip, and data efficiency of the signals of different satellites and different frequency bands from each satellite to the GNSS observation station in the data to be processed.
4. The method for automatically processing GNSS high-precision data according to claim 1 or 2, characterized in that: In the third step, the site coordinate information file is obtained by first obtaining the site coordinate information file, then extracting the site coordinate information file to obtain the coordinate time series of each site, then performing time series processing and drawing on the coordinate time series to obtain the coordinate time series, and then using the coordinate time series to calculate the distance between the two points to obtain the baseline time series.
5. The method for automatically processing GNSS high-precision data according to claim 4, characterized in that: In the third step, the baseline time series is obtained by first obtaining the baseline time series, then grouping multiple GNSS observation sites into an area, and then calculating the strain rate based on the original observation data of the GNSS observation sites in the area.
6. The method for automatically processing GNSS high-precision data according to claim 1 or 2, characterized in that: In the third step, the sequentially performing single-day relaxation solution processing on the multiple data networks to be processed is first sequentially performing data correction on the multiple data networks to be processed to obtain a corrected data network to be processed, and then sequentially performing single-day relaxation solution processing on the multiple data networks to be processed.
7. The method for automatically processing GNSS high-precision data according to claim 6, characterized in that: In the first step, downloading the GNSS original observation data and external network satellite ephemeris data is downloading the GNSS original observation data, external network satellite ephemeris data, stream layer data, and model correction files.
8. The method for automatically processing GNSS high-precision data according to claim 7, characterized in that: In the third step, the data correction of multiple data networks to be processed is first performed using a model correction file to correct the solid tide, extreme tide, and ocean tide in the multiple data networks to be processed, and then the model correction file is used to correct the stratum delay in the multiple data networks to be processed, and then multiple network area single-day relaxation solution results are obtained, and the network area single-day relaxation solution results include the single-day relaxation solution of the station coordinates, the single-day relaxation solution of the satellite orbit, and the single-day relaxation solution of the zenith tropospheric delay.
9. The method for automatically processing GNSS high-precision data according to claim 8, characterized in that: In the third step, the single-day relaxation solution results of multiple network areas are merged to obtain a single-day relaxation solution result for the entire station. The single-day relaxation solution results of multiple network areas are merged with the single-day relaxation solution of the global IGS station using GLOBK software to obtain a single-day relaxation solution result for the entire station.
10. A system for executing the method for automatically processing GNSS high-precision data according to claim 1, characterized in that: The system includes a data download module, a quality inspection module and a data positioning module; The data download module is connected to the memory signal, and is used to download the GNSS original observation data and the external network satellite ephemeris data and store them in the memory; The quality inspection module is connected to the memory signal, and the quality inspection module is used to perform quality inspection on the data to be processed in the memory; The data positioning module is connected to the memory signal, and is used to perform data positioning on the data to be processed in the memory to obtain the high-precision three-dimensional coordinates of the GNSS observation station for a single day.