GNSS tropospheric delay correction method and device based on meteorological satellite remote sensing data

By obtaining meteorological satellite remote sensing data in real time, tropospheric delay calculations have solved the problem of lack of large-scale, real-time and low-cost tropospheric delay correction in the existing technology, and achieved high-precision and high-timed tropospheric delay products, providing convenience for GNSS positioning solution.

CN118778071BActive Publication Date: 2024-12-13WUHAN UNIV
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Patent Information

Application Number
CN202411235038.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-04
Publication Date
2024-12-13
Estimated Expiration
2044-09-04

AI Technical Summary

Technical Problem

The prior art lacks large-scale, real-time, low-cost and convenient tropospheric delay products for tropospheric delay correction for GNSS positioning.

Method used

By obtaining the remote sensing data of meteorological satellites in real time, the atmospheric precipitation amount is calculated, and the troposphere zenith wet delay and static delay are obtained. The troposphere delay prior value is calculated for precise single point positioning of GNSS with bilinear interpolation.

Benefits of technology

It realizes a large-scale, real-time, low-cost and convenient tropospheric delay product, improves the accuracy and timeliness of GNSS positioning, reduces costs, and does not require a measurement site to be laid out.

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Abstract

The present invention discloses a GNSS tropospheric delay correction method and device based on meteorological satellite remote sensing data, the method comprising: acquiring meteorological satellite remote sensing data in real time; obtaining atmospheric precipitable water according to the meteorological satellite remote sensing data; obtaining tropospheric zenith wet delay according to the atmospheric precipitable water; obtaining tropospheric zenith total delay based on meteorological satellite remote sensing data according to the tropospheric zenith wet delay and tropospheric zenith static delay; obtaining tropospheric delay prior value required for GNSS precise single point positioning according to the tropospheric zenith total delay. The present invention performs tropospheric delay correction through real-time meteorological satellite remote sensing data, and realizes a large-scale, real-time, low-cost and convenient tropospheric delay product.
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Description

Technical Field

[0001] The present invention relates to the field of GNSS precision positioning, and in particular to a GNSS tropospheric delay correction method and device based on meteorological satellite remote sensing data. Background Art

[0002] Tropospheric delay is an important error source in GNSS positioning. In global navigation satellite system (GNSS) positioning, the tropospheric delay processing strategy is usually given a priori value. The accuracy of the prior tropospheric delay plays an important role in improving the accuracy of GNSS positioning. Commonly used methods for calculating prior tropospheric delay include: (1) based on empirical tropospheric delay models, such as the GPT series model and the UNB series model. However, the accuracy of the tropospheric delay calculated by this method is low. (2) based on the surrounding GNSS stations, the estimation is interpolated to the target point. This method relies on the surrounding GNSS station facilities, has a small coverage range, and has a high cost of station construction. (3) the meteorological parameters are measured at the GNSS receiver, and the tropospheric delay model is calculated based on the measured meteorological parameters. However, this method requires the deployment of meteorological stations or the measurement of meteorological parameters at the receiver, has a small coverage range, and a complex operation process. (4) based on weather forecast products, such as ECMWF ERA5 weather forecast data. Although this method can obtain a wide range of tropospheric delayed products, the timeliness of weather forecast products is poor, usually delayed by more than 1 day.

[0003] In summary, the existing technology lacks a large-scale, real-time, low-cost, and convenient tropospheric delay product for tropospheric delay correction of GNSS positioning. Summary of the invention

[0004] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a GNSS tropospheric delay correction method and device based on meteorological satellite remote sensing data, which performs tropospheric delay correction by using real-time meteorological satellite remote sensing data, thereby realizing a large-scale, real-time, low-cost and convenient tropospheric delay product.

[0005] According to one aspect of the present invention, a GNSS tropospheric delay correction method based on meteorological satellite remote sensing data is provided, comprising:

[0006] Real-time acquisition of meteorological satellite remote sensing data;

[0007] Obtaining atmospheric precipitable water according to the meteorological satellite remote sensing data;

[0008] According to the atmospheric precipitable water, a tropospheric zenith wet delay is obtained;

[0009] According to the tropospheric zenith wet delay and in combination with the tropospheric zenith static delay, a tropospheric zenith total delay based on meteorological satellite remote sensing data is obtained;

[0010] According to the total tropospheric zenith delay, a priori value of tropospheric delay required for GNSS precise point positioning is obtained.

[0011] As a further technical solution, the tropospheric zenith wet delay is obtained according to the atmospheric precipitable water, including: calculating the tropospheric zenith wet delay based on the global Tm model.

[0012] As a further technical solution, the method further includes: calculating the tropospheric zenith static delay based on a global empirical tropospheric delay model.

[0013] As a further technical solution, the tropospheric delay prior value required for GNSS precise point positioning is obtained, including:

[0014] Obtain the total zenith delay of the troposphere at multiple preset points around the point to be calculated;

[0015] According to the total tropospheric zenith delay of the plurality of preset points, in combination with the bilinear interpolation method, the tropospheric delay prior value of the location where the GNSS precise point positioning is located is calculated.

[0016] According to one aspect of the present invention, there is provided a GNSS tropospheric delay correction device based on meteorological satellite remote sensing data, comprising:

[0017] Input module, used to obtain meteorological satellite remote sensing data in real time;

[0018] A first calculation module is used to obtain atmospheric precipitable water according to the meteorological satellite remote sensing data;

[0019] A second calculation module is used to obtain the tropospheric zenith wet delay according to the atmospheric precipitable water;

[0020] A third calculation module is used to obtain the total tropospheric zenith delay based on meteorological satellite remote sensing data according to the tropospheric zenith wet delay and the tropospheric zenith static delay;

[0021] The fourth calculation module is used to obtain a priori value of tropospheric delay required for GNSS precise single-point positioning according to the total tropospheric zenith delay.

[0022] As a further technical solution, the second calculation module is also used to execute the following instructions: based on the global Tm model, calculate the tropospheric zenith wet delay.

[0023] As a further technical solution, the third calculation module is also used to execute the following instructions: based on the global empirical tropospheric delay model, calculate the tropospheric zenith static delay.

[0024] As a further technical solution, the fourth computing module is further used to execute the following instructions:

[0025] Obtain the total zenith delay of the troposphere at multiple preset points around the point to be calculated;

[0026] According to the total tropospheric zenith delay of the plurality of preset points, in combination with the bilinear interpolation method, the tropospheric delay prior value of the location where the GNSS precise point positioning is located is calculated.

[0027] According to one aspect of the present specification, there is provided an electronic device, comprising: at least one processor, at least one memory and a communication interface; wherein the processor, memory and communication interface communicate with each other; the memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the described method.

[0028] According to one aspect of the present specification, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores computer instructions, wherein the computer instructions enable the computer to execute the method described above.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention obtains real-time atmospheric precipitable water based on real-time meteorological satellite remote sensing data, obtains tropospheric zenith wet delay according to the atmospheric precipitable water, and obtains real-time tropospheric zenith total delay by combining the tropospheric zenith wet delay and dry delay, and finally calculates the tropospheric delay prior value of the location of GNSS precise single point positioning according to the tropospheric zenith total delay data of multiple points, thereby realizing GNSS tropospheric delay correction based on meteorological satellite remote sensing data.

[0031] The present invention performs GNSS tropospheric delay correction based on meteorological satellite remote sensing data, and has good time resolution and timeliness. At the same time, due to the large coverage of meteorological satellites, a wide range of tropospheric delay products can be obtained for GNSS tropospheric delay correction.

[0032] The present invention performs GNSS tropospheric delay correction based on meteorological satellite remote sensing data, does not require the deployment of measurement sites, and has low cost and good convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief introduction is given below to the drawings used in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 A schematic flow chart of a method for correcting GNSS tropospheric delay of meteorological satellite remote sensing data provided by an embodiment of the present invention.

[0035] Figure 2 A schematic diagram of the structure of a GNSS tropospheric delay correction device for meteorological satellite remote sensing data provided by an embodiment of the present invention.

[0036] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0037] It should be noted that:

[0038] Tropospheric delay: The amount of delay an electromagnetic wave experiences as it passes through the troposphere.

[0039] Zenith Total Tropospheric Delay (ZTD): The delay of electromagnetic waves when they pass through the troposphere from the zenith direction, including static delay and wet delay.

[0040] Zenith Wet Tropospheric Delay (ZWD): The amount of delay in the ZTD due to the "wet" part of the atmosphere.

[0041] Zenith Tropospheric Static Delay (ZHD): The amount of delay in the ZTD due to the "dry" part of the atmosphere.

[0042] The relationship among ZTD, ZWD and ZHD is: ZTD=ZHD+ZWD. Among them, ZHD accounts for about 90% of ZTD and can usually be accurately expressed using the model. Affected by water vapor changes, ZWD changes greatly and the model expression accuracy is low.

[0043] PWV: Precipitable Water Volume, that is, the water vapor content in the atmosphere.

[0044] Relationship between PWV and ZWD: ,

[0045] in, is the conversion coefficient, which is the weighted average temperature of the atmosphere ( ) function: .

[0046] Meteorological remote sensing satellite: A remote sensing satellite used for meteorology, usually located in geostationary orbit, with the characteristics of large imaging range and high temporal resolution, such as China's Fengyun-4A and Japan's Hibiscus-8.

[0047] The terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions, for example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to the steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0048] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices. The flowcharts shown in the accompanying drawings are merely exemplary and do not necessarily include all the contents and operations / steps, nor do they necessarily have to be executed in the order described. For example, some operations / steps may be further decomposed, while some operations / steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In addition, the technical features in the various embodiments or single embodiments provided by the present invention are arbitrarily combined with each other to form a new technical solution. This combination is not restricted by the sequence of steps and / or the structural composition mode, but must be based on the ability of ordinary technicians in this field to achieve. When the combination of technical solutions is contradictory or cannot be achieved, it should be considered that this combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0050] The embodiment of the present invention provides a GNSS tropospheric delay correction method based on meteorological satellite remote sensing data, including: a meteorological satellite remote sensing data acquisition step; an atmospheric precipitable water calculation step; a tropospheric zenith wet delay calculation step; a tropospheric zenith total delay calculation step; and a tropospheric delay prior value calculation step. The embodiment of the present invention performs tropospheric delay correction based on meteorological satellite remote sensing data, and through the combined effect of the aforementioned steps, a large-scale, real-time, low-cost, and convenient tropospheric delay product is realized for tropospheric delay correction of GNSS positioning.

[0051] like Figure 1 As shown, an embodiment of the present invention provides a GNSS tropospheric delay correction method based on meteorological satellite remote sensing data, which specifically includes:

[0052] Step 1: Acquire meteorological satellite remote sensing data in real time. The embodiment of the present invention acquires remote sensing data based on the Japanese meteorological remote sensing satellite Himawari-8.

[0053] Specifically, this step downloads Himawari-8 real-time multi-band data for GNSS tropospheric delay correction.

[0054] Step 2, processing the meteorological satellite remote sensing data to obtain a large range of atmospheric precipitable water (PWV).

[0055] This step is based on the method of Du et al (2024), Atmospheric Research (DOI:j.atmosres.2024.107281) to calculate the real-time PWV product. Specifically, this step uses a stacked machine learning model, and its process includes: (1) using Himawari-8 multi-band data and ECMWF ERA5 data set water vapor products to build a random deep forest model and a back propagation neural network model; (2) inputting Himawari-8 real-time multi-band data to obtain the PWV estimation values ​​of the random deep forest model and the back propagation neural network model; (3) fusing the PWV values ​​of each model through a multivariate linear regression model.

[0056] Step 3, according to the atmospheric precipitable water volume (PWV), obtain the tropospheric zenith wet delay (ZWD). Preferably, in the embodiment of the present invention, when calculating the tropospheric zenith wet delay, an available method is a technical method based on the global Tm model.

[0057] Specifically, the embodiment of the present invention calculates the atmospheric weighted average temperature within the PWV product range based on the GTm3 model (DOI: 10.1093 / gji / ggu008) to obtain the conversion coefficient between PWV and ZWD:

[0058] ,

[0059] Convert real-time PWV products to real-time ZWD products:

[0060] .

[0061] It should be noted that the atmospheric weighted average temperature can be obtained from the GTm series model as well as the GPT series model. The specific method of obtaining the temperature can be implemented by using existing mature technologies, and the embodiments of the present invention will not be described in detail here.

[0062] Step 4: According to the tropospheric zenith wet delay and the tropospheric zenith static delay, the tropospheric zenith total delay based on meteorological satellite remote sensing data is obtained.

[0063] Specifically, the global empirical tropospheric delay model GPT3 is used to calculate the ZHD within the ZWD range, and then the tropospheric zenith total delay (ZTD) product based on meteorological satellite remote sensing data is obtained, that is, the real-time ZTD product: ZTD = ZHD + ZWD.

[0064] Step 5: derive a tropospheric delay prior value required for GNSS precise point positioning according to the tropospheric zenith total delay.

[0065] After obtaining the real-time ZTD product, the ZTD of the GNSS point to be located can be calculated. One method that can be used is to obtain the ZTD values ​​of the four grid points around the point to be calculated, and use bilinear interpolation to calculate the ZTD of the GNSS point to be located. It should be noted that this step can also use the nearest method (1 point) or the nearest 9 points for interpolation calculation.

[0066] Specifically, based on the approximate position of the point to be located, the ZTD values ​​of the four surrounding ZTD grid points are retrieved, and then the bilinear interpolation method is used to obtain the prior ZTD required for the point to be located.

[0067] Compared with the existing methods, the GNSS tropospheric delay correction method based on meteorological satellite remote sensing data provided by the embodiment of the present invention has the advantages of high accuracy, large range, good real-time performance and low cost, as shown in Table 1.

[0068] Table 1 Comparison table of the method described in the embodiment of the present invention and the existing method

[0069]

[0070] The large-scale, high-precision, and high-real-time GNSS tropospheric delay correction method proposed in the present invention realizes the tropospheric delay correction based on real-time meteorological satellite remote sensing data. Since meteorological satellite remote sensing data has high temporal resolution and can be obtained in real time, such as the Himawari imager (AHI) carried by Himawari-8, which has a temporal resolution of 10 minutes and a time delay of only a few minutes, it has good temporal resolution and timeliness. At the same time, meteorological satellites have a large coverage area, and a large range of tropospheric delay products can be obtained for GNSS tropospheric delay correction.

[0071] The implementation basis of each embodiment of the present invention is to implement programmed processing through a device with a processor function. Therefore, in engineering practice, the technical solutions and functions of each embodiment of the present invention are encapsulated into various modules. Based on this reality, on the basis of the above embodiments, an embodiment of the present invention provides a GNSS tropospheric delay correction device based on meteorological satellite remote sensing data, which is used to execute the GNSS tropospheric delay correction method based on meteorological satellite remote sensing data in the above method embodiment.

[0072] See also Figure 2 The device includes: an input module for acquiring meteorological satellite remote sensing data in real time; a first calculation module for obtaining atmospheric precipitable water according to the meteorological satellite remote sensing data; a second calculation module for obtaining tropospheric zenith wet delay according to the atmospheric precipitable water; a third calculation module for obtaining a tropospheric zenith total delay based on meteorological satellite remote sensing data according to the tropospheric zenith wet delay and the tropospheric zenith static delay; and a fourth calculation module for obtaining a tropospheric delay prior value required for GNSS precise point positioning according to the tropospheric zenith total delay.

[0073] The GNSS tropospheric delay correction device based on meteorological satellite remote sensing data provided by the embodiment of the present invention adopts Figure 2 Several modules in it perform tropospheric delay correction based on meteorological satellite remote sensing data, and through the joint action of meteorological satellite remote sensing data acquisition, atmospheric precipitable water calculation, tropospheric zenith wet delay calculation, tropospheric zenith total delay calculation and tropospheric delay prior value calculation, a large-scale, real-time, low-cost and convenient tropospheric delay product is realized for tropospheric delay correction of GNSS positioning.

[0074] It should be noted that the device embodiments provided by the present invention are used to implement the methods in the above method embodiments as well as the methods in other method embodiments provided by the present invention. The only difference is that the corresponding functional modules are set, and the principle is basically the same as the principle of the above device embodiments provided by the present invention. As long as those skilled in the art refer to the specific technical solutions in other method embodiments on the basis of the above device embodiments, obtain the corresponding technical means and the technical solutions composed of these technical means by combining technical features, and improve the equipment in the above device embodiments on the premise of ensuring the practicality of the technical solutions, obtain the corresponding device class embodiments, and implement the methods in other method class embodiments. For example:

[0075] Based on the content of the above device embodiment, as a preferred embodiment, in the GNSS tropospheric delay correction device based on meteorological satellite remote sensing data provided in the embodiment of the present invention, the second calculation module is also used to execute the following instructions:

[0076] Based on the global Tm model, the tropospheric zenith wet delay is calculated.

[0077] Based on the content of the above device embodiment, as a preferred embodiment, in the GNSS tropospheric delay correction device based on meteorological satellite remote sensing data provided in the embodiment of the present invention, the third calculation module is also used to execute the following instructions:

[0078] Based on the global empirical tropospheric delay model, the tropospheric zenith static delay is calculated.

[0079] Based on the content of the above device embodiment, as a preferred embodiment, in the GNSS tropospheric delay correction device based on meteorological satellite remote sensing data provided in the embodiment of the present invention, the fourth calculation module is also used to execute the following instructions:

[0080] Obtain the total zenith delay of the troposphere at multiple preset points around the point to be calculated;

[0081] According to the total tropospheric zenith delay of the plurality of preset points, in combination with the bilinear interpolation method, the tropospheric delay prior value of the location where the GNSS precise point positioning is located is calculated.

[0082] The method of the embodiment of the present invention is implemented by relying on electronic devices, so it is necessary to introduce the relevant electronic devices. Based on this purpose, the embodiment of the present invention provides an electronic device, such as Figure 3As shown, the electronic device includes: at least one processor, a communication interface, at least one memory, and a communication bus, wherein at least one processor, the communication interface, and at least one memory communicate with each other through the communication bus. At least one processor calls the logic instructions in at least one memory to execute all or part of the steps of the method provided by the aforementioned various method embodiments.

[0083] In addition, when the logic instructions in the at least one memory mentioned above are implemented in the form of a software functional unit and sold or used as an independent product, they are stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or partly in other words, the part that contributes to the prior art or part of the technical solution is embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for enabling a computer device (a personal computer, a server, or a network device) to perform all or part of the steps of the method described in each method embodiment of the present invention. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and various media for storing program codes.

[0084] The system embodiments described above are merely illustrative, wherein the units described as separate components are or are not physically separated, and the components shown as units are or are not physical units, located in one place, or distributed on multiple network units. Some or all of the modules are selected according to actual conditions to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement without creative effort.

[0085] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable storage medium produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0089] In summary, the present invention obtains real-time atmospheric precipitable water based on real-time meteorological satellite remote sensing data, obtains tropospheric zenith wet delay according to the atmospheric precipitable water, and obtains real-time tropospheric zenith total delay by combining the tropospheric zenith wet delay and dry delay. Finally, the tropospheric delay prior value of the location of the GNSS precise single point positioning is calculated according to the tropospheric zenith total delay data of multiple points, thereby realizing GNSS tropospheric delay correction based on meteorological satellite remote sensing data.

[0090] The present invention performs GNSS tropospheric delay correction based on meteorological satellite remote sensing data, and has good time resolution and timeliness. At the same time, due to the large coverage of meteorological satellites, a wide range of tropospheric delay products can be obtained for GNSS tropospheric delay correction.

[0091] The present invention performs GNSS tropospheric delay correction based on meteorological satellite remote sensing data, does not require the deployment of measurement sites, and has low cost and good convenience.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. GNSS tropospheric delay correction method based on meteorological satellite remote sensing data, It is characterized in that include: Real-time acquisition of meteorological satellite remote sensing data; Obtaining atmospheric precipitable water according to the meteorological satellite remote sensing data; According to the atmospheric precipitable water, a tropospheric zenith wet delay is obtained; According to the tropospheric zenith wet delay and in combination with the tropospheric zenith static delay, a tropospheric zenith total delay based on meteorological satellite remote sensing data is obtained; According to the total tropospheric zenith delay, a priori value of tropospheric delay required for GNSS precise point positioning is obtained.

2. The GNSS tropospheric delay correction method based on meteorological satellite remote sensing data according to claim 1, It is characterized in that According to the atmospheric precipitable water, the tropospheric zenith wet delay is obtained, including: based on the global Tm model, calculating the tropospheric zenith wet delay.

3. The GNSS tropospheric delay correction method based on meteorological satellite remote sensing data according to claim 1, It is characterized in that The method further comprises: calculating the tropospheric zenith static delay based on a global empirical tropospheric delay model.

4. The GNSS tropospheric delay correction method based on meteorological satellite remote sensing data according to claim 1, It is characterized in that The tropospheric delay prior value required for GNSS precise point positioning is obtained, including: Obtain the total zenith delay of the troposphere at multiple preset points around the point to be calculated; According to the total tropospheric zenith delay of the plurality of preset points, in combination with the bilinear interpolation method, the tropospheric delay prior value of the location where the GNSS precise point positioning is located is calculated.

5. GNSS tropospheric delay correction device based on meteorological satellite remote sensing data, It is characterized in that include: Input module, used to obtain meteorological satellite remote sensing data in real time; A first calculation module is used to obtain atmospheric precipitable water according to the meteorological satellite remote sensing data; A second calculation module is used to obtain the tropospheric zenith wet delay according to the atmospheric precipitable water; A third calculation module is used to obtain the total tropospheric zenith delay based on meteorological satellite remote sensing data according to the tropospheric zenith wet delay and the tropospheric zenith static delay; The fourth calculation module is used to obtain a priori value of tropospheric delay required for GNSS precise single-point positioning according to the total tropospheric zenith delay.

6. The GNSS tropospheric delay correction device based on meteorological satellite remote sensing data according to claim 5, It is characterized in that The second calculation module is further used to execute the following instruction: based on the global Tm model, calculate the tropospheric zenith wet delay.

7. The GNSS tropospheric delay correction device based on meteorological satellite remote sensing data according to claim 5, It is characterized in that The third calculation module is further used to execute the following instruction: based on the global empirical tropospheric delay model, calculate the tropospheric zenith static delay.

8. The GNSS tropospheric delay correction device based on meteorological satellite remote sensing data according to claim 5, It is characterized in that The fourth computing module is further configured to execute the following instructions: Obtain the total zenith delay of the tropospheric layer at four preset points around the point to be calculated; According to the total tropospheric zenith delay of the four preset points, in combination with the bilinear interpolation method, the tropospheric delay prior value of the location where the GNSS precise point positioning is located is calculated.

9. An electronic device, It is characterized in that include: At least one processor, at least one memory and a communication interface; wherein the processor, memory and communication interface communicate with each other; The memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the method according to any one of claims 1 to 4.

10. A non-transitory computer-readable storage medium, It is characterized in that The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the method of any one of claims 1 to 4.