Method and device for constructing and using TEC model considering the relationship between solar-terrestrial activities and space

Abstract

The present invention discloses a method and device for constructing and using a TEC model that takes into account the relationship between solar and terrestrial activities and space. The TEC model construction method includes: obtaining a long-term series of solar and terrestrial activity factors and global ionospheric TEC products; calculating multiple solar and terrestrial spatial relationship factors at the grid point coordinates of the global ionospheric TEC products at all times; matching the solar and terrestrial activity factors, the calculated solar and terrestrial spatial relationship factors, and the ionospheric TEC values ​​according to time and grid points to form a training data set; constructing a multi-layer neural network model, the input of the multi-layer neural network model is multiple solar and terrestrial spatial relationship factors and solar and terrestrial activity factors at different times, and the output is the TEC value of the corresponding time and grid point; using the training data set to train and verify the constructed multi-layer neural network model, and output the trained TEC model.

Description

Technical Field

[0001] The present invention relates to the field of ionosphere modeling, and in particular to a method and device for constructing and using a TEC model that takes into account the relationship between solar-terrestrial activities and space. Background Art

[0002] Ionospheric error is an important error source for GNSS positioning. The TEC model is usually used to correct the ionospheric error in GNSS positioning. The traditional empirical TEC (Total Electron Content) model usually uses a simple mathematical function with longitude and latitude as independent variables to express the horizontal distribution of ionospheric TEC, such as the Klobuchar model used by GPS.

[0003] Ionospheric TEC is affected by both solar radiation and geomagnetic activity. The solar-terrestrial activity factors and solar-terrestrial spatial relationship parameters that affect the horizontal distribution of the ionosphere are difficult to express as simple mathematical functions. Therefore, the accuracy of the traditional empirical TEC model expressed by simple mathematical functions is low, and its error usually reaches several TECU (low solar activity period) to dozens of TECU (high solar activity period). Summary of the invention

[0004] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a method and device for constructing and using a TEC model that takes into account the relationship between solar-terrestrial activity and space. By taking into account solar-terrestrial activity factors and spatial relationship factors, a TEC model is jointly constructed, and the TEC value is determined based on the constructed TEC model, thereby improving the accuracy of the empirical TEC model.

[0005] According to one aspect of the present invention, there is provided a method for constructing a TEC model taking into account the relationship between solar-terrestrial activities and space, comprising:

[0006] Obtain long-term series of solar-terrestrial activity factors and global ionospheric TEC products;

[0007] Calculate multiple Sun-Earth spatial relationship factors at the grid point coordinates of the global ionospheric TEC product at all times;

[0008] Matching the solar-terrestrial activity factor, the calculated solar-terrestrial spatial relationship factor and the ionospheric TEC value according to time and grid points to form a training data set;

[0009] Constructing a multi-layer neural network model, wherein the input of the multi-layer neural network model is a plurality of solar-terrestrial spatial relationship factors and solar-terrestrial activity factors at different times, and the output is the TEC value of the corresponding time and grid point;

[0010] The constructed multi-layer neural network model is trained and verified using the training data set, and the trained TEC model is output.

[0011] As a further technical solution, when matching by time and grid points, it also includes: obtaining the solar-terrestrial activity factor of the previous day, and matching the solar-terrestrial activity factor of the previous day, the solar-terrestrial spatial relationship factor of the current day and the ionospheric TEC value by time and grid points.

[0012] As a further technical solution, the sun-earth spatial relationship factors include: solar altitude angle, solar azimuth angle, solar altitude angle at noon, duration of nightfall, polar day and night conditions, geomagnetic longitude and geomagnetic latitude.

[0013] According to one aspect of the present invention, there is provided a method for using a TEC model taking into account the relationship between solar-terrestrial activities and space, comprising:

[0014] Get the solar and terrestrial activity factors of the previous day;

[0015] Calculate multiple sun-earth spatial relationship factors of the points to be determined;

[0016] The solar-terrestrial activity factor of the previous day and the calculated multiple solar-terrestrial spatial relationship factors are input into the TEC model constructed by the method, and the TEC value of the point to be determined is output.

[0017] According to one aspect of the present invention, there is provided a TEC model construction device taking into account the relationship between solar and terrestrial activities and space, comprising:

[0018] The first building block is used to obtain long-term series of solar-terrestrial activity factors and global ionospheric TEC products;

[0019] The second building block is used to calculate multiple Sun-Earth spatial relationship factors at the grid point coordinates of the global ionospheric TEC product at all times;

[0020] The third construction module is used to match the solar-terrestrial activity factor, the calculated solar-terrestrial spatial relationship factor and the ionospheric TEC value according to time and grid points to form a training data set;

[0021] A fourth construction module is used to construct a multi-layer neural network model, wherein the input of the multi-layer neural network model is a plurality of solar-terrestrial spatial relationship factors and solar-terrestrial activity factors at different times, and the output is a TEC value corresponding to the time and grid point;

[0022] The fifth construction module is used to train and verify the constructed multi-layer neural network model using the training data set, and output the trained TEC model.

[0023] As a further technical solution, the third construction module is also used to execute the following instructions: obtain the solar-terrestrial activity factor of the previous day, and match the solar-terrestrial activity factor of the previous day, the solar-terrestrial spatial relationship factor of the day and the ionospheric TEC value according to time and grid points.

[0024] According to one aspect of the present invention, there is provided a device for using a TEC model taking into account the relationship between solar and terrestrial activities and space, comprising:

[0025] The first usage module is used to obtain the solar-terrestrial activity factor of the previous day;

[0026] The second use module is used to calculate multiple sun-earth spatial relationship factors of the point to be determined;

[0027] The third using module is used to input the solar-terrestrial activity factor of the previous day and the calculated multiple solar-terrestrial spatial relationship factors into the TEC model constructed by the device, and output the TEC value of the point to be determined.

[0028] 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.

[0029] 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.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention provides a TEC model construction method. The method takes into account the influence of solar-terrestrial activity factors and spatial relationship factors, respectively obtains solar-terrestrial activity factors and solar-terrestrial spatial relationship factors of a to-be-determined point, matches the solar-terrestrial activity factors and spatial relationship factors with ionospheric TEC values ​​in time and grid points, and then constructs a data set. The data set is used to train a multi-layer neural network to obtain a high-precision empirical TEC model.

[0032] The present invention provides a method for determining the TEC value of the ionosphere. The method uses a trained TEC model to determine the TEC value. Only the solar-terrestrial activity factor of the previous day and the solar-terrestrial spatial relationship factor of the to-be-determined point need to be input to obtain the TEC value of the to-be-determined point. Compared with the traditional method of expressing the empirical TEC model with a simple mathematical function, the present invention improves the accuracy of the empirical TEC model. 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 flow chart of a method for constructing a TEC model taking into account the relationship between solar-terrestrial activities and space provided in an embodiment of the present invention.

[0035] Figure 2 A schematic diagram of the structure of a TEC model construction device taking into account the relationship between solar-terrestrial activities and space provided in an embodiment of the present invention.

[0036] Figure 3 A schematic flow chart of a method for determining an ionospheric TEC value provided in an embodiment of the present invention.

[0037] Figure 4 A schematic diagram of the structure of an ionospheric TEC value determination device provided in an embodiment of the present invention.

[0038] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] 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.

[0040] 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.

[0041] 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.

[0042] like Figure 1 As shown, an embodiment of the present invention provides a TEC model construction method that takes into account the relationship between solar-terrestrial activities and space, including:

[0043] Step 1: Obtain long-term series of solar-terrestrial activity factors and global ionospheric TEC products.

[0044] In the embodiment of the present invention, the solar-terrestrial activity factor includes the F10.7 index and the Dst index, wherein the F10.7 index expresses the solar activity and the Dst index expresses the geomagnetic activity.

[0045] In the embodiment of the present invention, the global ionospheric TEC product is usually a global grid product, such as CODE GIM product, etc. The embodiment of the present invention mainly uses the grid point coordinates of the product for time matching, and does not need to use TEC data during training and use.

[0046] As a preferred embodiment, the CODE GIM products and F10.7 index and Dst index for 11 years (1 solar activity cycle) from 2010 to 2020 can be downloaded in this step.

[0047] Step 2: Calculate multiple Sun-Earth spatial relationship factors at the grid point coordinates of the global ionospheric TEC product at all times.

[0048] In the embodiment of the present invention, step 2 may further include:

[0049] Step 2.1, calculate multiple solar-terrestrial spatial relationship factors at the grid point coordinates of the global TEC product at a specific time;

[0050] Step 2.2, repeat step 2.1 to calculate the above multiple Sun-Earth spatial relationships and activity factors at the global TEC product grid point coordinates at all times.

[0051] It should be noted that the sun-earth spatial relationship factors described in the embodiments of the present invention include: solar altitude angle, solar azimuth angle, solar altitude angle at noon, duration of nightfall, polar day and night conditions, geomagnetic longitude and geomagnetic latitude.

[0052] Furthermore, the nightfall duration is the duration after sunset.

[0053] Furthermore, in the polar day and night conditions, polar day, polar night, and non-polar day and night are represented by 1, -1, and 0, respectively.

[0054] Step 3, matching the solar-terrestrial activity factor, the calculated solar-terrestrial spatial relationship factor and the ionospheric TEC value according to time and grid points to form a training data set.

[0055] In the embodiment of the present invention, the above-mentioned multiple sun-earth spatial relationship factors and activity factors (including solar altitude angle, solar azimuth angle, noon solar altitude angle, nightfall duration, polar day and night conditions, geomagnetic longitude, geomagnetic latitude, F10.7 index, Dst index) and ionospheric TEC values ​​are matched according to time and grid points to form a data set.

[0056] It should be noted that since the F10.7 index and Dst index are difficult to obtain in real time, the F10.7 index and Dst index of the previous day are used for time matching. In other words, when matching, multiple sun-earth spatial relationship factors at the current time, the F10.7 index and Dst index at the same time of the previous day are matched with the ionospheric TEC value.

[0057] In an embodiment of the present invention, after aligning multiple solar-terrestrial spatial relationship factors of the same time and the same grid and the solar-terrestrial activity factors (F10.7 index, Dst index) of the previous day, a training set and a validation set can be randomly selected, for example, the data set ratio is set to 8:2.

[0058] Step 4, constructing a multi-layer neural network model, the input of which is a plurality of solar-terrestrial spatial relationship factors and solar-terrestrial activity factors at different times, and the output is the TEC value at the corresponding time and grid point.

[0059] As an implementation method, a back propagation neural network (BPNN) model with three hidden layers is constructed. The input layer is the multiple solar-terrestrial spatial relationship factors and solar-terrestrial activity factors (F10.7 index, Dst index) at different times mentioned above, and the output layer is the TEC value at the corresponding time and grid point.

[0060] Step 5: Use the training data set to train and verify the constructed multi-layer neural network model, and output the trained TEC model.

[0061] In the embodiment of the present invention, the training set and the validation set are input into the multi-layer neural network model, the model is trained until convergence, and the model parameters are saved.

[0062] 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 TEC model construction device that takes into account the relationship between solar and terrestrial activities and space, and the device is used to execute a TEC model construction method that takes into account the relationship between solar and terrestrial activities and space in the above method embodiment.

[0063] See also Figure 2 The device comprises: a TEC model construction device taking into account the relationship between solar and terrestrial activities and space, comprising: a first construction module for obtaining a long-term series of solar and terrestrial activity factors and global ionospheric TEC products; a second construction module for calculating a plurality of solar and terrestrial spatial relationship factors at the grid point coordinates of the global ionospheric TEC products at all times; a third construction module for matching the solar and terrestrial activity factors, the calculated solar and terrestrial spatial relationship factors and the ionospheric TEC values ​​according to time and grid points to form a training data set; a fourth construction module for constructing a multi-layer neural network model, the input of the multi-layer neural network model is a plurality of solar and terrestrial spatial relationship factors and solar and terrestrial activity factors at different times, and the output is the TEC values ​​corresponding to the time and grid points; a fifth construction module for training and verifying the constructed multi-layer neural network model using the training data set, and outputting the trained TEC model.

[0064] The embodiment of the present invention provides a TEC model construction device that takes into account the relationship between solar and terrestrial activities and space, which solves the problem of low accuracy of traditional empirical models and adopts Figure 2 Several modules in the TEC model are combined to consider the solar-terrestrial activity factors and spatial relationship factors, thus improving the accuracy of the empirical model.

[0065] 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 the technical personnel in this field 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 the technical features, and on the premise of ensuring the practicality of the technical solutions, they can improve the equipment in the above device embodiments to obtain the corresponding device class embodiments, which are used to implement the methods in other method class embodiments. For example:

[0066] Based on the content of the above device embodiment, as a preferred embodiment, in the embodiment of the present invention, a TEC model construction device taking into account the relationship between solar-terrestrial activities and space is provided, wherein the third construction module is further used to execute the following instructions:

[0067] The solar-terrestrial activity factor of the previous day is obtained, and the solar-terrestrial activity factor of the previous day, the solar-terrestrial spatial relationship factor of the current day and the ionospheric TEC value are matched according to time and grid points.

[0068] like Figure 3 As shown, an embodiment of the present invention provides a method for using a TEC model that takes into account the relationship between solar-terrestrial activities and space, including:

[0069] Step 10, obtaining the solar-terrestrial activity factor of the previous day;

[0070] Step 20, calculating multiple sun-earth spatial relationship factors of the point to be determined;

[0071] Step 30, inputting the solar-terrestrial activity factor of the previous day and the calculated multiple solar-terrestrial spatial relationship factors into the TEC model obtained in the aforementioned construction method embodiment, and outputting the TEC value of the point to be determined.

[0072] It should be noted that the undetermined point refers to a point with known latitude, longitude and time.

[0073] The method for determining the ionospheric TEC value provided in the embodiment of the present invention uses a trained TEC model to determine the TEC value. It only needs to input the solar-terrestrial activity factor of the previous day and the solar-terrestrial spatial relationship factor of the point to be determined to obtain the TEC value of the point to be determined. Compared with the traditional method of expressing the empirical TEC model with a simple mathematical function, the accuracy of the empirical TEC model is improved.

[0074] Based on the above method embodiment, an embodiment of the present invention further provides a device for using a TEC model that takes into account the relationship between solar-terrestrial activity and space. The device is used to execute a method for using a TEC model that takes into account the relationship between solar-terrestrial activity and space in the above method embodiment.

[0075] See also Figure 4 The device includes: a first use module for obtaining the solar-terrestrial activity factor of the previous day; a second use module for calculating multiple solar-terrestrial spatial relationship factors of the point to be determined; and a third use module for inputting the solar-terrestrial activity factor of the previous day and the calculated multiple solar-terrestrial spatial relationship factors into the TEC model constructed by the device, and outputting the TEC value of the point to be determined.

[0076] The embodiment of the present invention provides a device for using a TEC model that takes into account the relationship between solar and terrestrial activities and space. The device solves the problem of low accuracy in determining the traditional empirical model by using Figure 2Several modules in the TEC model, which takes into account the solar-terrestrial activity factors and spatial relationship factors, improve the accuracy of the empirical model in determining the TEC value.

[0077] 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 5 As 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.

[0078] In addition, when the logic instructions in the above-mentioned at least one memory 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.

[0079] 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.

[0080] 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-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0081] 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.

[0082] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising 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.

[0083] 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.

[0084] In summary, the present invention proposes to construct an empirical TEC model by taking into account the parameters of the solar-terrestrial spatial relationship that affect the distribution of solar radiation (solar altitude angle, azimuth angle, solar altitude angle at noon, duration of nightfall, polar day and night area), the F10.7 index that expresses the solar activity, the geomagnetic position parameters that express the distribution of geomagnetic lines (geomagnetic longitude, geomagnetic latitude), and the geomagnetic activity index (Dst index) and other solar-terrestrial environmental factors. In order to express the nonlinear relationship between various solar-terrestrial environmental factors and ionospheric TEC, a neural network (NN) is used to construct a model. By taking into account the influence of solar-terrestrial activity factors and solar-terrestrial spatial relationship factors and jointly constructing a neural network model, the accuracy of the empirical TEC model is improved.

[0085] 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. A method for constructing a TEC model taking into account the relationship between solar-terrestrial activity and space, characterized in that: include: Obtain long-term series of solar-terrestrial activity factors and global ionospheric TEC products; Calculate multiple sun-earth spatial relationship factors at the grid point coordinates of the global ionospheric TEC product at all times; the sun-earth spatial relationship factors include: solar altitude angle, solar azimuth angle, solar altitude angle at noon, nightfall duration, polar day and night conditions, geomagnetic longitude and geomagnetic latitude; Matching the solar-terrestrial activity factor, the calculated solar-terrestrial spatial relationship factor and the ionospheric TEC value according to time and grid points to form a training data set; Constructing a multi-layer neural network model, wherein the input of the multi-layer neural network model is a plurality of solar-terrestrial spatial relationship factors and solar-terrestrial activity factors at different times, and the output is the TEC value of the corresponding time and grid point; The constructed multi-layer neural network model is trained and verified using the training data set, and the trained TEC model is output.

2. A method for constructing a TEC model taking into account the relationship between solar-terrestrial activity and space according to claim 1, characterized in that: When matching by time and grid points, it also includes: obtaining the solar-terrestrial activity factor of the previous day, and matching the solar-terrestrial activity factor of the previous day, the solar-terrestrial spatial relationship factor of the current day and the ionospheric TEC value by time and grid points.

3. A method for using a TEC model that takes into account the relationship between solar and terrestrial activities and space, characterized in that: include: Get the solar and terrestrial activity factors of the previous day; Calculate multiple sun-earth spatial relationship factors of the points to be determined; The sun-earth spatial relationship factors include: solar altitude angle, solar azimuth angle, solar altitude angle at noon, nightfall duration, polar day and night conditions, geomagnetic longitude and geomagnetic latitude; The solar-terrestrial activity factor of the previous day and the calculated multiple solar-terrestrial spatial relationship factors are input into the TEC model constructed by the method according to any one of claims 1 to 2, and the TEC value of the point to be determined is output.

4. A TEC model construction device taking into account the relationship between solar and terrestrial activities and space, characterized in that: include: The first building block is used to obtain long-term series of solar-terrestrial activity factors and global ionospheric TEC products; The second construction module is used to calculate multiple sun-earth spatial relationship factors at the grid point coordinates of the global ionospheric TEC product at all times; the sun-earth spatial relationship factors include: solar altitude angle, solar azimuth angle, noon solar altitude angle, nightfall duration, polar day and night conditions, geomagnetic longitude and geomagnetic latitude; The third construction module is used to match the solar-terrestrial activity factor, the calculated solar-terrestrial spatial relationship factor and the ionospheric TEC value according to time and grid points to form a training data set; A fourth construction module is used to construct a multi-layer neural network model, wherein the input of the multi-layer neural network model is a plurality of solar-terrestrial spatial relationship factors and solar-terrestrial activity factors at different times, and the output is a TEC value corresponding to the time and grid point; The fifth construction module is used to train and verify the constructed multi-layer neural network model using the training data set, and output the trained TEC model.

5. A TEC model construction device taking into account the relationship between solar and terrestrial activities and space according to claim 4, characterized in that: The third construction module is further used to execute the following instructions: obtain the solar-terrestrial activity factor of the previous day, and match the solar-terrestrial activity factor of the previous day, the solar-terrestrial spatial relationship factor of the current day and the ionospheric TEC value according to time and grid points.

6. A device for using a TEC model that takes into account the relationship between solar and terrestrial activities and space, characterized in that: include: The first usage module is used to obtain the solar-terrestrial activity factor of the previous day; The second use module is used to calculate multiple sun-earth spatial relationship factors of the point to be determined; The third using module is used to input the solar-terrestrial activity factor of the previous day and the multiple calculated solar-terrestrial spatial relationship factors into the TEC model constructed by the device described in any one of claims 4 to 5, and output the TEC value of the point to be determined.

7. An electronic device, 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 2.

8. A non-transitory computer readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the method of any one of claims 1 to 2.

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