Method, device and equipment for water vapor detection of offshore floating platform and storage medium

Abstract

Embodiments of the present disclosure provide a method, device and equipment for water vapor detection of a floating platform at sea and a storage medium. The method is applied to the technical field of atmospheric water vapor detection. The method comprises predicting offset position information of a floating buoy at sea according to initial installation position information of the floating buoy at sea, determining total delay time of the troposphere according to position information and the offset position information of the floating buoy at sea, calculating the troposphere wet delay time, and determining first water vapor information. In this way, the error of satellite signal receiving time caused by the fact that the position of the floating buoy at sea is not fixed due to the influence of sea currents, wind power and the like can be effectively eliminated, thereby improving the accuracy of water vapor detection of the floating platform at sea.

Description

Technical Field

[0001] This disclosure relates to the field of atmospheric water vapor detection technology, and in particular to water vapor detection methods, devices, equipment, and storage media for offshore floating platforms. Background Technology

[0002] Existing technologies typically infer atmospheric water vapor content by sending satellite signals to land-based observation stations and then calculating the delay time of the received signals. However, this method is only applicable to water vapor detection on land. Since water vapor detection devices on floating platforms are installed on buoys at sea to receive satellite signals, the positions of these buoys are not fixed due to factors such as ocean currents and wind, resulting in errors in satellite reception time. Therefore, existing technologies are not applicable to water vapor detection on floating platforms at sea. Summary of the Invention

[0003] This disclosure provides a method, apparatus, equipment, and storage medium for detecting water vapor on a floating platform at sea, which solves the technical problem that the position of a floating buoy at sea is not fixed due to the influence of ocean currents, wind, etc., resulting in errors in the satellite signal reception time.

[0004] According to a first aspect of this disclosure, a method for detecting water vapor on a floating offshore platform is provided. The method includes: determining the initial installation location information of an offshore buoy;

[0005] The initial installation location information is sent to the movement trajectory prediction model of the marine buoy to obtain the offset location information of the marine buoy;

[0006] The total tropospheric delay time is determined based on the position information of the marine buoy obtained through the satellite navigation system and the offset position information of the marine buoy; the wet tropospheric delay time is obtained based on the total tropospheric delay time; and water vapor information is determined based on the wet tropospheric delay time.

[0007] In addition to the aspects described above and any possible implementations, a further implementation is provided in which the trajectory prediction model of the marine buoy is used for:

[0008] Receive initial installation location information of marine buoys;

[0009] The influence of sea surface current speed on the movement of marine buoys is calculated based on sea surface wind speed information, sea surface wind direction information, the relationship factor between sea surface wind direction and sea surface current direction, and the relationship factor between sea surface wind speed and sea surface current speed, thus obtaining the second characteristic information;

[0010] The offset position information of the marine buoy is predicted based on the initial installation location information, the first feature information, and the second feature information.

[0011] In addition to the aspects described above and any possible implementations, a further implementation is provided, wherein the initial installation location information and the prediction of the offset position information of the marine buoy based on the first feature information and the second feature information include:

[0012] The third feature information is calculated based on the first feature information and the second feature information, and the third feature information is the speed of the buoy at sea.

[0013] The offset position of the buoy is calculated based on the transmission time information required for the signal transmitted from the constellation navigation system to the detection device of the buoy, the initial installation position information, and the third feature information.

[0014] As described above and in any possible implementation, a further implementation is provided, wherein calculating the third feature information based on the first feature information and the second feature information includes:

[0015] The calculation parameters are obtained based on the density of the atmosphere and seawater, the drag coefficient of the atmosphere and seawater on the object, and the area of ​​the buoy exposed to the atmosphere and seawater respectively.

[0016] The third feature information is calculated based on the calculation parameters, the first feature information, and the second feature information.

[0017] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein the method further includes:

[0018] The first time information is corrected based on the fitting function to obtain the corrected first time information, which is the time required for the coastal observation station to receive the satellite signal sent by the detection device.

[0019] The first distance information is determined based on the location information of the coastal observation station and the offset position information of the marine buoy;

[0020] Calculate the second time information based on the first distance information and the preset wave velocity;

[0021] The third time information is obtained by calculating based on the corrected first time information and the second time information;

[0022] Determine whether the third time information is greater than a preset time threshold;

[0023] When the third time information is less than or equal to the preset time threshold, there is no need to correct the offset position of the buoy at sea;

[0024] When the third time information is greater than the preset time threshold, the offset position of the buoy is corrected according to the second time information to obtain the corrected offset position information;

[0025] The water vapor information determined based on the tropospheric wet delay time is adjusted according to the corrected offset position information to obtain the first water vapor information.

[0026] As described above and in any possible implementation, a further implementation is provided in which the acquisition of the fitting function includes:

[0027] The second distance information is determined based on the initial installation location of the marine buoy and the location of the coastal observation station;

[0028] The fourth time information is calculated based on the second distance information and the wave velocity information;

[0029] Obtain the fifth time information, which is the actual time required for the signal receiving point to receive the signal sent by the signal transmitting point;

[0030] The fourth and fifth time information are fitted using the least squares method to obtain a fitting function.

[0031] According to a second aspect of this disclosure, a water vapor detection device for a floating platform at sea is provided. The device includes: an acquisition module for determining the initial installation position information of a marine buoy;

[0032] The prediction module is used to send the initial installation location information to the movement trajectory prediction model of the buoy to obtain the offset position information of the buoy.

[0033] The processing module is used to determine the total tropospheric delay time based on the position information of the marine buoy obtained through the satellite navigation system and the offset position information of the marine buoy; to obtain the tropospheric wet delay time based on the total tropospheric delay time; and to determine water vapor information based on the tropospheric wet delay time.

[0034] According to a third aspect of this disclosure, an electronic device is provided. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the methods according to the first and / or second aspects of this disclosure.

[0035] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the methods according to the first and / or second aspects of this disclosure.

[0036] In this disclosure, the offset position information of the marine buoy is predicted based on the initial installation position information of the marine buoy, and the total tropospheric delay time is determined based on the position information and offset position information of the marine buoy. The tropospheric wet delay time is then calculated to determine the first water vapor information. In this way, the error in satellite signal reception time caused by the non-fixed position of the marine buoy due to the influence of ocean currents, wind, etc. is effectively eliminated, thereby improving the accuracy of water vapor detection of the marine floating platform.

[0037] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0038] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0039] Figure 1 A flowchart of a water vapor detection method for a floating offshore platform according to an embodiment of the present disclosure is shown;

[0040] Figure 2 Another flowchart of a method for detecting water vapor on a floating offshore platform according to an embodiment of the present disclosure is shown;

[0041] Figure 3 A block diagram of a water vapor detection device for a floating offshore platform according to an embodiment of the present disclosure is shown;

[0042] Figure 4 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0044] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0045] This disclosure provides a method, apparatus, device, and storage medium for detecting water vapor on a floating platform at sea. It is understood that, in this embodiment, a scenario can be set up, such as: setting up a buoy at sea and installing a water vapor detection device on the buoy to receive satellite signals to detect water vapor on the floating platform at sea.

[0046] In this disclosure, the offset position information of the marine buoy is predicted based on the initial installation position information of the marine buoy, and the total tropospheric delay time is determined based on the position information and offset position information of the marine buoy. The tropospheric wet delay time is then calculated to determine the first water vapor information. In this way, the error in satellite signal reception time caused by the non-fixed position of the marine buoy due to the influence of ocean currents, wind, etc. is effectively eliminated, thereby improving the accuracy of water vapor detection of the marine floating platform.

[0047] Figure 1 A flowchart of a water vapor detection method 100 for a floating platform at sea according to an embodiment of this disclosure is shown. Figure 1 As shown, the methods for detecting water vapor on offshore floating platforms include:

[0048] S101, determine the initial installation location information of the marine buoy.

[0049] In one possible implementation, since there are few reference points at sea and the initial installation position coordinates of the buoy are difficult to determine, the position coordinates of the coastal observation station are used as a reference point to determine the initial installation position of the buoy.

[0050] S102, the initial installation location information is sent to the movement trajectory prediction model of the marine buoy to obtain the offset location information of the marine buoy.

[0051] In some embodiments, the trajectory prediction model for marine buoys is used for:

[0052] Receive initial installation location information of marine buoys;

[0053] The impact of sea surface wind on the movement of offshore buoys is calculated based on sea surface wind speed and direction information to obtain the first feature information.

[0054] The influence of sea surface current speed on the movement of marine buoys is calculated based on sea surface wind speed information, sea surface wind direction information, the relationship factor between sea surface wind direction and sea surface current direction, and the relationship factor between sea surface wind speed and sea surface current speed, thus obtaining the second characteristic information.

[0055] The offset position information of the marine buoy is predicted based on the initial installation location information, the first feature information, and the second feature information.

[0056] In one possible implementation, the calculation process for the first feature information is as follows: In the above formula, V1 is the first feature information, V si Let θ be the magnitude of the sea surface wind speed observed and recorded within the i-th unit time period. si Let t be the sea surface wind direction and angle observed and recorded within the i-th unit time period, with true north denoted as 0°. i The duration of the sea surface wind in the i-th time period.

[0057] In one possible implementation, the calculation process for the second feature information is as follows: In the above formula, V2 represents the second feature information, V si The magnitude of the sea surface wind speed observed and recorded within the i-th unit time period, θ si Let c be the sea surface wind direction and angle observed and recorded within the i-th unit time period. i d is the factor relating wind direction and sea current direction. i This is the factor relating sea surface wind speed and sea surface current speed.

[0058] In one possible implementation, the movement of the buoy is mainly affected by sea winds and ocean currents. The sea winds not only act on the buoys but also push the surface seawater. Taking into account the movement of the surface seawater driven by the sea winds can effectively improve the accuracy of trajectory prediction.

[0059] In some embodiments, a third feature information is calculated based on the first feature information and the second feature information, wherein the third feature information is the speed of the buoy at sea.

[0060] The offset position of the buoy is calculated based on the transmission time information required for the signal transmitted from the satellite navigation system to the detection device of the buoy, the initial installation position information, and the third feature information.

[0061] In some embodiments, calculation parameters are obtained based on the density of the atmosphere and seawater, the drag coefficient of the atmosphere and seawater on the object, and the area of ​​the buoy exposed to the atmosphere and seawater, respectively.

[0062] The third feature information is calculated based on the calculation parameters, the first feature information, and the second feature information.

[0063] In some embodiments, the calculation process for the calculation parameters is as follows: In the above formula, α is the calculation parameter, ρ1 and ρ2 are the densities of the atmosphere and seawater, w1 and w2 are the drag coefficients of the atmosphere and seawater on the object, and s1 and s2 are the areas of the buoy exposed in the atmosphere and seawater, respectively.

[0064] In some embodiments, the third feature information calculation process includes: In the above formula, V3, V1, and V2 represent the third feature information, the first feature information, and the second feature information, respectively, and α is the calculation parameter.

[0065] In some embodiments, the movement of a marine buoy is the result of the combined action of two parts, one above water and one below. Therefore, considering the ratio of the area of ​​the marine buoy on the sea surface to the area submerged in seawater, i.e., the calculation parameter, on the movement of the marine buoy, can further improve the accuracy of the prediction of the marine buoy's trajectory.

[0066] In one possible approach, the movement trajectory of a marine buoy can be predicted using a motion trajectory prediction model. Based on the satellite signal transmission time, a unique point in the trajectory can be determined as the location of the water vapor detection device when it receives the satellite signal.

[0067] In some embodiments, the main difference between water vapor detection on offshore floating platforms and on land is that the location of land-based water vapor detection stations is fixed, while the buoys on offshore floating platforms carrying water vapor detection devices cannot be fixed. When the buoys move with wind and ocean currents, the position of the water vapor detection devices changes, resulting in errors in addition to tropospheric delay errors caused by changes in the position of the water vapor detection devices. This makes the water vapor detection on offshore floating platforms inaccurate. Therefore, in this step, a trajectory prediction model can be used to predict the trajectory of the buoys, thereby obtaining the position deviation when the water vapor detection devices receive signals. This eliminates the errors caused by changes in the position of the water vapor detection devices, effectively improving the accuracy of water vapor detection on offshore floating platforms.

[0068] S103, determine the total tropospheric delay time based on the position information and offset position information of the marine buoy obtained through the satellite navigation system; obtain the tropospheric wet delay time based on the total tropospheric delay time; determine the water vapor information based on the tropospheric wet delay time.

[0069] In some embodiments, the tropospheric wet delay time is proportional to the water vapor content in the atmosphere. Therefore, the water vapor content of a floating platform at sea can be detected based on the tropospheric wet delay time.

[0070] Figure 2 Another flowchart of a water vapor detection method 100 for a floating platform at sea according to an embodiment of this disclosure is shown. Figure 2 As shown, water vapor detection methods for offshore floating platforms also include:

[0071] S104, Correct the first time information based on the fitting function to obtain the corrected first time information;

[0072] In some embodiments, the first time information is the time required for the coastal observation station to receive the satellite signal sent by the detection device;

[0073] In one possible implementation, obtaining the fitted function includes:

[0074] The second distance information is determined based on the initial installation location of the marine buoy and the location of the coastal observation station;

[0075] The fourth time information is calculated based on the second distance information and the wave velocity information;

[0076] Obtain the fifth time information, which is the actual time required for the signal receiving point to receive the signal sent by the signal transmitting point;

[0077] The fourth and fifth time information are fitted using the least squares method to obtain the fitting function.

[0078] In one possible implementation, the signal transmission scenario takes place at sea, where atmospheric conditions can reduce the signal transmission speed. Therefore, it is necessary to correct the first-time information to reduce the error caused by the signal transmission scenario on the signal transmission time, and further improve the accuracy of the judgment on whether the prediction of the offset position of the buoy at sea is accurate.

[0079] S105, determine the first distance information based on the location information of the coastal observation station and the offset position information of the marine buoy;

[0080] S106, Calculate the second time information based on the first distance information and the preset wave velocity;

[0081] S107, calculate the third time information based on the corrected first and second time information;

[0082] In one possible implementation, the corrected first time information is subtracted from the second time information to obtain the third time information.

[0083] S108, Determine whether the third time information is greater than the preset time threshold;

[0084] In one possible implementation, although the interference of the maritime scene on signal transmission is eliminated, the influence of maritime navigation on signal transmission cannot be eliminated. When the signal passes through the navigation vessel, it will cause speed attenuation. Therefore, even if the prediction of the offset position of the buoy at sea is accurate, the corrected first time information and the second time information cannot be completely the same.

[0085] In one possible implementation, the preset time threshold is 2% of the corrected first time information to improve the fault tolerance rate.

[0086] S109, If the third time information is less than or equal to the preset time threshold, there is no need to correct the offset position of the buoy at sea;

[0087] S110, if the third time information is greater than the preset time threshold, the offset position of the buoy at sea is corrected according to the second time information to obtain the corrected offset position information;

[0088] S111, adjust the water vapor information determined based on the tropospheric wet delay time according to the corrected offset position information to obtain the first water vapor information.

[0089] In one possible implementation, when the third time information is less than or equal to a preset time threshold, it indicates that the model's predicted offset position of the buoy is correct. Therefore, there is no need to correct the buoy's offset position, and water vapor can be accurately detected. When the third time information is greater than the preset time threshold, it indicates that the model's predicted offset position of the buoy deviates significantly from the actual buoy position. In this case, it is necessary to determine the actual distance between the offset position and the coastal observation station based on the second time information, thereby correcting the buoy's offset position to obtain the corrected position information. Then, the water vapor of the floating platform is detected again based on the position information of the constellation navigation system and the corrected position information.

[0090] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.

[0091] The above is an introduction to the method embodiments. The following describes the solution described in this disclosure further through device embodiments.

[0092] Figure 3 A block diagram of a water vapor detection device 300 for a floating offshore platform according to an embodiment of the present disclosure is shown. Figure 3As shown, the device 300 includes:

[0093] The acquisition module 301 is used to determine the initial installation location information of the marine buoy;

[0094] The prediction module 302 is used to send the initial installation position information to the movement trajectory prediction model of the marine buoy to obtain the offset position information of the marine buoy;

[0095] The processing module 303 is used to determine the total tropospheric delay time based on the position information of the marine buoy obtained through the constellation navigation system and the offset position information of the marine buoy; to obtain the tropospheric wet delay time based on the total tropospheric delay time; and to determine the first water vapor information based on the tropospheric wet delay time.

[0096] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0097] The acquisition, storage, and application of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0098] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0099] Figure 4 A schematic block diagram of an electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0100] Electronic device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in ROM 402 or a computer program loaded into RAM 403 from storage unit 408. RAM 403 can also store various programs and data required for the operation of electronic device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O interface 405 is also connected to bus 404.

[0101] Multiple components in electronic device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of displays, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows electronic device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0102] The computing unit 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as method 100. For example, in some embodiments, method 100 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform method 100 by any other suitable means (e.g., by means of firmware).

[0103] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0104] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0105] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0106] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including voice input, speech input, or tactile input).

[0107] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0108] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0109] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this disclosure can be achieved, and this is not limited herein.

[0110] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for detecting water vapor on a floating offshore platform, characterized in that, include: Determine the initial installation location information of the marine buoy; The initial installation location information is sent to the buoy trajectory prediction model to obtain the buoy's offset location information; wherein, the buoy trajectory prediction model is used for: Receive initial installation location information of marine buoys; The impact of sea surface wind on the movement of offshore buoys is calculated based on sea surface wind speed and direction information to obtain the first feature information. The influence of sea surface current speed on the movement of marine buoys is calculated based on sea surface wind speed information, sea surface wind direction information, the relationship factor between sea surface wind direction and sea surface current direction, and the relationship factor between sea surface wind speed and sea surface current speed, thus obtaining the second characteristic information; Predict the offset position information of the marine buoy based on the initial installation position information, the first feature information, and the second feature information; The total tropospheric delay time is determined based on the position information of the marine buoy obtained through the satellite navigation system and the offset position information of the marine buoy; the wet tropospheric delay time is obtained based on the total tropospheric delay time; and water vapor information is determined based on the wet tropospheric delay time.

2. The method according to claim 1, characterized in that, The step of predicting the offset position information of the marine buoy based on the initial installation position information, the first feature information, and the second feature information includes: The third feature information is calculated based on the first feature information and the second feature information, and the third feature information is the speed of the buoy at sea. The offset position of the buoy is calculated based on the transmission time information required for the signal emitted by the constellation navigation system to be transmitted to the detection device of the buoy, the initial installation position information, and the third feature information.

3. The method according to claim 2, characterized in that, The step of calculating the third feature information based on the first feature information and the second feature information includes: The calculation parameters are obtained based on the density of the atmosphere and seawater, the drag coefficient of the atmosphere and seawater on the object, and the area of ​​the buoy exposed to the atmosphere and seawater respectively. The third feature information is calculated based on the calculation parameters, the first feature information, and the second feature information.

4. The method according to claim 1, characterized in that, The method further includes: The first time information is corrected based on the fitting function to obtain the corrected first time information, which is the time required for the coastal observation station to receive the satellite signal sent by the detection device. The first distance information is determined based on the location information of the coastal observation station and the offset position information of the marine buoy; Calculate the second time information based on the first distance information and the preset wave velocity; The third time information is obtained by calculating based on the corrected first time information and the second time information; Determine whether the third time information is greater than a preset time threshold; If the third time information is less than or equal to the preset time threshold, there is no need to correct the offset position of the buoy at sea; If the third time information is greater than the preset time threshold, the offset position of the buoy is corrected according to the second time information to obtain the corrected offset position information; The water vapor information determined based on the tropospheric wet delay time is adjusted according to the corrected offset position information to obtain the first water vapor information.

5. The method according to claim 4, characterized in that, Obtaining the fitting function includes: The second distance information is determined based on the initial installation location of the marine buoy and the location of the coastal observation station; The fourth time information is calculated based on the second distance information and the wave velocity information; Obtain the fifth time information, which is the actual time required for the signal receiving point to receive the signal sent by the signal transmitting point; The fourth and fifth time information are fitted using the least squares method to obtain a fitting function.

6. A water vapor detection device for a floating offshore platform, characterized in that, include: The acquisition module is used to determine the initial installation location information of the marine buoy; The prediction module is used to send the initial installation position information to the buoy's trajectory prediction model to obtain the buoy's offset position information. The buoy's trajectory prediction model is used to: receive the initial installation position information of the buoy; calculate the influence of sea surface wind on the buoy's movement based on sea surface wind speed and direction information to obtain first feature information; calculate the influence of sea surface current speed on the buoy's movement based on sea surface wind speed, sea surface wind direction, the relationship factor between sea surface wind direction and sea surface current direction, and the relationship factor between sea surface wind speed and sea surface current speed to obtain second feature information; and predict the buoy's offset position information based on the initial installation position information, the first feature information, and the second feature information. The processing module is used to determine the total tropospheric delay time based on the position information of the marine buoy obtained through the satellite navigation system and the offset position information of the marine buoy. The wet delay time of the troposphere is obtained based on the total delay time of the troposphere. Water vapor information is determined based on the tropospheric wet delay time.

7. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in any one of claims 1-5.

8. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1 to 5.

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