CN110852512A - Sea wave prediction system, method and equipment - Google Patents
Sea wave prediction system, method and equipment Download PDFInfo
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Abstract
The invention discloses a wave prediction system, a method and equipment, wherein the wave prediction system comprises: ocean data acquisition equipment and wave prediction module, wherein, ocean data acquisition equipment places in the target area in the form of buoy, includes: the device comprises a sensor module and a communication module, wherein the sensor module and the communication module are composed of an acceleration sensor, an electronic compass and a wind field information acquisition module, the acceleration sensor is used for acquiring the acceleration information of a buoy, the electronic compass is used for acquiring the movement direction information of the buoy, and the wind field information acquisition module is used for acquiring the wind speed and the wind direction of a target area; the wave prediction module is used for predicting wave information of the target area. According to the technical scheme of the embodiment of the invention, data acquisition is carried out through the small buoy consisting of the acceleration sensor, the electronic compass and the wind field information acquisition module, the system cost is low, so that high-density data acquisition can be carried out through arranging a plurality of buoys, and then wave prediction is carried out according to the wave prediction module, and the prediction precision is high.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a sea wave prediction system, a sea wave prediction method and sea wave prediction equipment.
Background
The existing mature sea wave prediction in China is mainly realized by the fact that the national ocean bureau generates a prediction for 24-72 hours in the future through various ocean observation stations along the coast and data acquired by a remote sensing satellite, and the national sea prediction is externally issued through a national ocean prediction center.
The space scale and the time scale of the conventional sea wave monitoring and forecasting are generally larger, the scale of the minimum forecasting unit is basically at the kilometer level, for example, a square area with the longitude and the latitude of 0.5 degrees multiplied by 0.5 degrees is used as a forecasting unit for providing forecasting of sea waves, sea temperature and sea surface wind for 72 hours in the future, and the forecasting time interval is 6 hours.
Meanwhile, the number of devices which are arranged at present and can collect wave information is small, and the cost is high. For example, the price of each domestic large ocean full-environment buoy is about 150 ten thousand yuan, and the price of each ocean pasture environment monitoring buoy arranged along the coast of Shandong is about 100 ten thousand. The using unit can only bear the arrangement cost of dozens of buoys generally, so that the data acquisition quantity is insufficient, and the specific practical situation of a large sea area is difficult to represent.
Disclosure of Invention
The invention provides a sea wave prediction system, a sea wave prediction method and sea wave prediction equipment, which are used for realizing low-cost and high-density monitoring and prediction of sea waves.
In a first aspect, an embodiment of the present invention provides a wave prediction system, including:
the ocean wave prediction system comprises ocean data acquisition equipment and an ocean wave prediction module, wherein the ocean data acquisition equipment is placed in a target area in a buoy mode and comprises: the system comprises a sensor module and a communication module, wherein the sensor module consists of an acceleration sensor, an electronic compass and a wind field information acquisition module, the acceleration sensor is used for acquiring the acceleration information of the buoy, the electronic compass is used for acquiring the movement direction information of the buoy, the wind field information acquisition module is used for acquiring the wind speed and the wind direction of the target area, and the acceleration information, the movement direction information, the wind speed and the wind direction are basic information of the target area; the communication module is used for sending the basic information to the sea wave prediction module; the sea wave prediction module is used for predicting the sea wave information of the target area according to the basic information sent by the communication module.
In a second aspect, an embodiment of the present invention further provides a method for predicting ocean waves, where the method includes:
acquiring acceleration information of a buoy via an acceleration sensor, wherein the buoy is placed in a target area; collecting movement direction information of the buoy via an electronic compass; acquiring the wind speed and the wind direction of the target area through a wind field information acquisition module, wherein the acceleration information, the motion direction information, the wind speed and the wind direction are basic information of the target area; and predicting the sea wave information of the target area according to the basic information through a sea wave prediction module.
In a third aspect, an embodiment of the present invention further provides a wave prediction apparatus, including:
one or more processors; a memory for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement a wave prediction method as provided by any of the embodiments of the invention.
According to the technical scheme of the embodiment of the invention, the small buoy consisting of the acceleration sensor, the electronic compass and the wind field information acquisition module is designed to collect the wave related signals, so that the cost of the collection equipment is greatly reduced, high-density signal collection can be realized, the prediction precision is improved, and the rapid and short-time interval prediction of the waves is facilitated; the wave prediction module is used for predicting the waves according to the acquired information, so that the real-time and rapid prediction of the waves is realized, the prediction precision is high, and the prediction result is comprehensive and detailed.
Drawings
Fig. 1 is a schematic structural diagram of a wave prediction system according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a wave prediction system according to a second embodiment of the present invention;
fig. 3 is a flowchart of a wave prediction method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic structural diagram of a wave prediction system according to an embodiment of the present invention, which can be applied to a case of predicting ocean waves, as shown in fig. 1, the system includes: the ocean wave forecasting system comprises ocean data acquisition equipment 10 and an ocean wave forecasting module 20, wherein the ocean data acquisition equipment 10 comprises a sensor module 110 and a communication module 120, wherein the sensor module 110 consists of an acceleration sensor 111, an electronic compass 112 and a wind field information acquisition module 113.
Wherein, the marine data acquisition equipment 10 is placed in the target area in the form of a buoy, and comprises: the system comprises a sensor module 110 and a communication module 120, wherein the sensor module 110 and the communication module 120 are composed of an acceleration sensor 111, an electronic compass 112 and a wind field information acquisition module 113, the acceleration sensor 111 is used for acquiring the acceleration information of a buoy, the electronic compass 112 is used for acquiring the movement direction information of the buoy, the wind field information acquisition module 113 is used for acquiring the wind speed and the wind direction of a target area, and the acceleration information, the movement direction information, the wind speed and the wind direction are basic information of the target area; the communication module 120 is configured to send basic information to the wave prediction module 20; the wave prediction module 20 is used for predicting wave information of the target area according to the basic information sent by the communication module. The target area may be an observation point of the ocean to be predicted.
Compared with the existing ocean buoy, the data acquisition equipment is miniaturized, so that the equipment cost is greatly reduced, and the hardware basis is improved for improving the data acquisition density.
The wind field information acquiring module 113 may acquire or capture wind field information such as wind direction, wind speed, and the like of a target area through a meteorological department, or may acquire wind field information such as wind direction, wind speed, and the like according to a wind direction anemoscope placed in a set buoy, and the wind direction anemoscope is not required to be set for each buoy, but the wind direction anemoscope is set in the buoy at a set interval, and the specific interval is determined according to the interval distance of each buoy. For example, a wind vane may be provided at intervals of 10, 15, 20 or other values to monitor the sea surface wind direction and velocity information of the target area. The wind field information acquiring module 113 may further determine the wind field information of the target area by combining the wind field information acquired by the meteorological department and the wind field information monitored by the anemoscope. The method mainly comprises the steps of acquiring the wind field information of the sea surface of a target area by taking the wind field information issued by a meteorological department as a main part and taking the wind field information monitored by a wind direction anemoscope as an auxiliary part, thereby effectively ensuring the authenticity and the accuracy of the wind field information.
Optionally, the acceleration sensor 111 is a two-dimensional acceleration sensor, and is configured to collect acceleration information of the buoy in two directions perpendicular to each other.
Optionally, the acceleration sensor 111 may be a three-dimensional acceleration sensor, and the acceleration sensor is used to collect acceleration information of the buoy moving up and down, back and forth, left and right along with the sea wave, and is used to calculate the wave height and period of the subsequent sea wave.
Specifically, the electronic compass 112 may also be a digital compass, and further may be a three-dimensional electronic compass. The magnetic field direction of the earth is determined mainly by using a magneto-resistance sensor, and then the movement direction of the equipment is determined according to the magnetic field direction. The wind field information acquisition module 113 is configured to measure wind field data of a sea surface where the target area is located, and mainly measure an instantaneous wind speed and a wind direction. It needs to be understood that the wind field information released by the meteorological department is wind field data 10m above the sea surface, is used for carrying out sea wave prediction with larger error, can be combined with a wind direction anemoscope arranged on a set buoy to carry out the collection of the wind field information of a target area, has strong real-time performance of collected data, and is closer to the real situation of the sea surface. The communication module 120 may communicate based on satellite communication, radio frequency broadcast communication, or a data transmission link that relies on existing large buoys.
Optionally, the wave prediction module 20 includes: the data analysis unit is used for carrying out data analysis on the basic information to obtain prediction reference information of the sea waves in the target area; and the sea wave prediction unit is used for predicting the sea wave information of the target area according to the prediction reference information.
Specifically, the wave prediction module 20 may be disposed at a remote end, or may be partially disposed on a buoy and partially disposed at the remote end. For example, the data analysis unit may be disposed on the buoy, or may be disposed at a remote end together with the wave prediction unit.
Further, the data parsing unit is further configured to: and storing the basic information and preprocessing the basic information. Preprocessing can include operations such as GPS positioning, filtering, outlier removal, normalization, and the like. The above functions can be realized by a multi-channel data acquisition instrument.
Optionally, the data parsing unit is specifically configured to: filtering the basic information; and determining prediction reference information of the waves in the target area according to the filtered basic information, wherein the prediction reference information comprises one or more of wave height, wave length, direction and period of the waves.
Further, the marine data acquisition device 10 further comprises a housing, and the housing mainly meets the requirement of long-term safe and stable operation of the buoy under the severe marine environmental conditions, and plays roles of water resistance, corrosion resistance and the like.
According to the technical scheme of the embodiment of the invention, the small buoy consisting of the acceleration sensor, the electronic compass and the wind field information acquisition module is designed to collect the wave related signals, so that the cost of the collection equipment is greatly reduced, high-density signal collection can be realized, the prediction precision is improved, and the rapid and short-time interval prediction of the waves is facilitated; the wave prediction module is used for predicting the waves according to the acquired information, so that the real-time and rapid prediction of the waves is realized, the prediction precision is high, and the prediction result is comprehensive and detailed.
Example two
Fig. 2 is a schematic structural diagram of a wave prediction system according to a second embodiment of the present invention, which is a further refinement and supplement to the first embodiment, and the wave prediction system further includes: and a power supply module.
As shown in fig. 2, the wave prediction system includes: the system comprises a sensor module 210, a communication module 220, a power supply module 230, a data analysis unit 240, an environmental factor acquisition subunit 250, a model building subunit 260 and a sea wave display subunit 270.
The sensor module 210 includes an acceleration sensor 211, an electronic compass 212, and a wind field information acquisition module 213, where the acceleration sensor 211 is configured to acquire acceleration information of the buoy, the electronic compass 212 is configured to acquire movement direction information of the buoy, the wind field information acquisition module 213 is configured to acquire wind speed and wind direction of a target area, and the acceleration information, the movement direction information, the wind speed, and the wind direction are basic information of the target area; the communication module 220 is configured to send the basic information to the data analysis unit 240; the power supply module 230 is used for supplying power to the system; the data analysis unit 240 is configured to perform data analysis on the basic information to obtain prediction reference information of the sea waves in the target area; an environmental factor obtaining subunit 250, configured to obtain an environmental factor of the target area, where the environmental factor includes: topographic information, water depth information and wind field information; a model establishing subunit 260, configured to establish a hydrodynamic model of the target area according to the environmental factors and the prediction reference information, so as to obtain water level information and water velocity information of the target area; establishing a sea wave model of the target area according to the environmental factors, the prediction reference information, the water level information and the water flow speed information to obtain prediction information of sea waves of the target area, wherein the prediction information comprises; one or more of wave height, wavelength, direction, period of the sea waves and fluctuation period and motion trail of the bottom of the target area; and a sea wave display subunit 270, configured to display the sea wave information of the target area according to the prediction information.
Because wave monitoring and prediction are activities performed for a long time, a corresponding power supply module needs to be designed to ensure the normal operation of the equipment. The power supply module 230 mainly supplies power to the marine data acquisition device composed of the sensor module 210 and the communication module 220. The power module 230 may be one or more of a solar panel, a rechargeable battery, and a parasitic existing large buoy power system.
Because the raw data collected by the sensor may contain a lot of interference information, and the data elements are not concerned types, the raw data needs to be analyzed, clutter is filtered, and the interference data is eliminated. Further, the data parsing unit 240 is specifically configured to: filtering the basic information; and determining prediction reference information of the waves in the target area according to the filtered basic information, wherein the prediction reference information comprises one or more of wave height, wave length, direction and period of the waves.
Specifically, the model establishing subunit 260 is specifically configured to: based on a Delft 3D platform, establishing a hydrodynamic model of a target area according to environmental factors and prediction reference information; and based on the SWAN platform, establishing a sea wave model of the target area according to the environmental factors, the prediction reference information, the water level information and the water flow speed information.
Optionally, the method further includes:
and the model updating subunit is used for updating the hydrodynamic model according to the prediction information and updating the sea wave model according to the water level information and the water flow speed information.
Due to the mutual influence between water flow and waves, the exchange of data between the water flow model and the wave model is realized by establishing the water power model and the wave model and the model updating subunit, so that the two-way coupling of the two models is realized.
Further, the model updating subunit is specifically configured to:
and when the running time reaches the data exchange time, updating the hydrodynamic model according to the predicted reference information and the predicted information of the running time, and updating the sea wave model according to the predicted reference information, the water level information and the water flow speed information of the running time.
Specifically, data transmission between the model establishing subunit 260 and the model updating subunit may be performed based on Parallel methods such as PVM (Parallel Virtual Machine) and MPI (Message Passing Interface), so as to improve data transmission efficiency.
Further, the model updating subunit is further configured to:
when it is detected that the termination condition is met, the updating of the hydrodynamic model and the wave model is terminated.
Wherein, satisfying the termination condition comprises: the running time reaches the set time, the updating times reach the set times, the prediction precision meets the set conditions, and the like.
For example, after the wave prediction system determines the prediction reference information of the waves in the target area, the subsequent establishment process of the prediction model can be divided into three stages: model initialization, updating and termination. The model initialization stage is mainly performed by the model establishing subunit 260, a hydrodynamic initial model and a wave initial model of a target area can be established in advance according to environmental factors, and when prediction reference information from a buoy is received at a time t1, the hydrodynamic initial model and the wave initial model are respectively updated according to the prediction reference information at the time t1 to obtain a hydrodynamic model and a wave model; the updating stage is mainly carried out by a model updating subunit, when the running time reaches the switching time t2, relevant data are exchanged through the model updating subunit, namely, water level information and water flow speed information output by the hydrodynamic model at the time t2 are sent to the sea wave model, meanwhile, prediction information output by the sea wave model at the time t2 is sent to the hydrodynamic model, the two models are respectively updated according to newly received data, and when the next data switching time is reached, the next round of data switching is carried out; and the termination stage is carried out by the model updating subunit, when the termination condition is met, the model updating is terminated, and the prediction information output by the sea wave model at the moment is sent to the sea wave display subunit to predict the sea wave information.
Specifically, the sea wave display subunit 270 may display the prediction information in a set format. The method can also comprise the following steps: and the visualization platform is used for presenting the prediction information in the forms of dynamic thermodynamic diagrams, time sequence line graphs and the like. The information such as wave height, direction period and the like of sea waves in the target sea area can be visually displayed through a two-dimensional or three-dimensional graph, so that the target sea area is simulated through the simulation platform. And the operation information and the loading information of the ships sailing in each channel of the target sea area can be displayed in real time by acquiring the information of the marine system.
Further, the wave prediction system further comprises: and the alarm model is used for evaluating the sea wave grade according to the sea wave information output by the sea wave display subunit 270 and giving an alarm according to the sea wave grade. Specifically, the alarm content may include a dangerous sea area and a duration.
According to the technical scheme of the embodiment of the invention, the model establishing subunit establishes the hydrodynamic model and the sea wave model of the target sea area respectively according to the environmental factors and the prediction reference information, the interaction between water flow and sea waves is fully considered, the simulation of the sea wave generation, propagation and dissipation processes is realized through the coupling of the two models, and the accuracy of sea wave prediction is greatly improved; meanwhile, a parallel mechanism is adopted for data transmission, so that the data transmission efficiency is improved, the speed of wave prediction is further improved, and the rapid and high-precision prediction of waves is realized.
EXAMPLE III
Fig. 3 is a flowchart of a wave prediction method provided in a third embodiment of the present invention, where the third embodiment is applicable to a case of sea wave prediction, and the method may be executed by a wave prediction system or device, as shown in fig. 3, and the method specifically includes the following steps:
And step 320, collecting the movement direction information of the buoy through an electronic compass.
And 330, acquiring the wind speed and the wind direction of the target area through a wind field information acquisition module, wherein the acceleration information, the motion direction information, the wind speed and the wind direction are basic information of the target area.
And 340, predicting the sea wave information of the target area according to the basic information through a sea wave prediction module.
According to the technical scheme of the embodiment of the invention, the small buoy consisting of the acceleration sensor, the electronic compass and the wind field information acquisition module is designed to collect the wave related signals, so that the cost of the collection equipment is greatly reduced, high-density signal collection can be realized, the prediction precision is improved, and the rapid and short-time interval prediction of the waves is facilitated; the wave prediction module is used for predicting the waves according to the acquired information, so that the real-time and rapid prediction of the waves is realized, the prediction precision is high, and the prediction result is comprehensive and detailed.
Optionally, the acquiring the acceleration information of the buoy via an acceleration sensor includes:
the acceleration information of the buoy in two mutually perpendicular directions is collected via a two-dimensional acceleration sensor.
Optionally, predicting, by a wave prediction module, wave information of the target area according to the basic information, including:
performing data analysis on the basic information through a data analysis unit to obtain prediction reference information of the sea waves in the target area; and predicting the sea wave information of the target area according to the prediction reference information by a sea wave prediction unit.
Optionally, the data analysis unit performs data analysis on the basic information to obtain the prediction reference information of the sea wave in the target area, including:
filtering the basic information via a data parsing unit; and determining prediction reference information of the waves in the target area according to the filtered basic information, wherein the prediction reference information comprises one or more of wave height, wave length, direction and period of the waves.
Optionally, predicting, by a wave prediction unit, wave information of the target area according to the prediction reference information, including:
acquiring the environmental factors of the target area via an environmental factor acquisition subunit, wherein the environmental factors include: topographic information, water depth information and wind field information; establishing a hydrodynamic model of the target area according to the environmental factors and the prediction reference information via a model establishing subunit to acquire water level information and water velocity information of the target area; establishing a sea wave model of the target area according to the environmental factors, the prediction reference information, the water level information and the water flow speed information to obtain prediction information of sea waves of the target area, wherein the prediction information comprises; one or more of wave height, wavelength, direction, period of sea waves, and wave period and motion trajectory of the bottom of the target area; and the sea wave display subunit is used for displaying the sea wave information of the target area according to the prediction information.
Optionally, before the sea wave display subunit is configured to display the sea wave information of the target area according to the prediction information, the method further includes:
and updating the hydrodynamic model according to the prediction information and updating the sea wave model according to the water level information and the water flow speed information by a model updating subunit.
Optionally, the updating the hydrodynamic model according to the prediction information and the updating the wave model according to the water level information and the water flow speed information by a model updating subunit includes:
and updating the hydrodynamic model according to the prediction reference information and the prediction information of the running time and updating the sea wave model according to the prediction reference information, the water level information and the water flow speed information of the running time by a model updating subunit when the running time reaches the data exchange time.
Example four
Fig. 4 is a schematic structural diagram of a wave prediction apparatus according to a fourth embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 410, a memory 420, an input device 430, and an output device 440; the number of the device processors 410 may be one or more, and one processor 410 is taken as an example in fig. 4; the processor 410, the memory 420, the input device 430 and the output device 440 in the apparatus may be connected by a bus or other means, for example, in fig. 4.
The memory 420 serves as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the wave prediction method in the embodiment of the present invention. The processor 410 executes software programs, instructions and modules stored in the memory 420 to execute various functional applications of the device and data processing, namely, to implement the wave prediction method described above.
The memory 420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 420 may further include memory located remotely from the processor 410, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus. The output device 440 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the invention also provides a storage medium containing computer-executable instructions which, when executed by a computer processor, perform a method of wave prediction, the method comprising:
acquiring acceleration information of a buoy via an acceleration sensor, wherein the buoy is placed in a target area;
collecting movement direction information of the buoy via an electronic compass;
acquiring the wind speed and the wind direction of the target area through a wind field information acquisition module, wherein the acceleration information, the motion direction information, the wind speed and the wind direction are basic information of the target area;
and predicting the sea wave information of the target area according to the basic information through a sea wave prediction module.
Of course, the embodiment of the present invention provides a storage medium containing computer-executable instructions, where the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the wave prediction method provided in any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the wave prediction system, the units and modules included in the embodiment are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A wave prediction system, comprising: marine data acquisition equipment and a wave prediction module, wherein,
the marine data acquisition device is placed in a target area in the form of a buoy, and comprises: the system comprises a sensor module and a communication module, wherein the sensor module consists of an acceleration sensor, an electronic compass and a wind field information acquisition module, the acceleration sensor is used for acquiring the acceleration information of the buoy, the electronic compass is used for acquiring the movement direction information of the buoy, the wind field information acquisition module is used for acquiring the wind speed and the wind direction of the target area, and the acceleration information, the movement direction information, the wind speed and the wind direction are basic information of the target area; the communication module is used for sending the basic information to the sea wave prediction module;
the sea wave prediction module is used for predicting the sea wave information of the target area according to the basic information sent by the communication module.
2. The system of claim 1, wherein the acceleration sensor is a two-dimensional acceleration sensor for acquiring acceleration information of the buoy in two mutually perpendicular directions.
3. The system of claim 1, wherein the marine data collection device further comprises a power module comprising one or more of solar panels, rechargeable batteries, and a parasitic existing large buoy power system.
4. The system of claim 1, wherein the ocean wave prediction module comprises:
the data analysis unit is used for carrying out data analysis on the basic information to obtain prediction reference information of the sea waves in the target area;
and the sea wave prediction unit is used for predicting the sea wave information of the target area according to the prediction reference information.
5. The system of claim 4, wherein the data parsing unit is specifically configured to:
filtering the basic information;
and determining prediction reference information of the waves in the target area according to the filtered basic information, wherein the prediction reference information comprises one or more of wave height, wave length, direction and period of the waves.
6. The system of claim 4, wherein the wave prediction unit comprises:
an environmental factor obtaining subunit, configured to obtain an environmental factor of the target area, where the environmental factor includes: topographic information, water depth information and wind field information;
the model establishing subunit is used for establishing a hydrodynamic model of the target area according to the environmental factors and the prediction reference information so as to acquire water level information and water flow speed information of the target area; establishing a sea wave model of the target area according to the environmental factors, the prediction reference information, the water level information and the water flow speed information to obtain prediction information of sea waves of the target area, wherein the prediction information comprises; one or more of wave height, wavelength, direction, period of sea waves, and wave period and motion trajectory of the bottom of the target area;
and the sea wave display subunit is used for displaying the sea wave information of the target area according to the prediction information.
7. The system of claim 6, wherein the wave prediction unit further comprises:
and the model updating subunit is used for updating the hydrodynamic model according to the prediction information and updating the sea wave model according to the water level information and the water flow speed information.
8. The system according to claim 7, wherein the model updating subunit is specifically configured to:
and when the running time reaches the data exchange time, updating the hydrodynamic model according to the predicted reference information and the predicted information of the running time, and updating the sea wave model according to the predicted reference information, the water level information and the water flow speed information of the running time.
9. A method of wave prediction, comprising:
acquiring acceleration information of a buoy via an acceleration sensor, wherein the buoy is placed in a target area;
collecting movement direction information of the buoy via an electronic compass;
acquiring the wind speed and the wind direction of the target area through a wind field information acquisition module, wherein the acceleration information, the motion direction information, the wind speed and the wind direction are basic information of the target area;
and predicting the sea wave information of the target area according to the basic information through a sea wave prediction module.
10. A wave prediction apparatus, characterized in that the apparatus comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a wave prediction method as recited in claim 9.
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| CN (1) | CN110852512A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112377032A (en) * | 2020-10-19 | 2021-02-19 | 秦皇岛远舟工业气体有限公司 | Cruise ship guest room automatic control method, system, device and storage medium |
| CN113344275A (en) * | 2021-06-15 | 2021-09-03 | 上海交通大学 | Floating platform wave climbing online forecasting method based on LSTM model |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004191268A (en) * | 2002-12-13 | 2004-07-08 | Mitsubishi Heavy Ind Ltd | Buoy, buoy system, and billow information measuring device |
| KR101152016B1 (en) * | 2012-02-21 | 2012-06-08 | (주)세영통신 | System for receiving and transmitting status information using buoy |
| CN105389468A (en) * | 2015-11-06 | 2016-03-09 | 中国海洋大学 | Rip current forecasting method |
| CN109927849A (en) * | 2019-04-11 | 2019-06-25 | 南京信息工程大学 | Ocean wave buoy and wave statistics method based on six-dimension acceleration sensor |
| CN110182318A (en) * | 2019-05-14 | 2019-08-30 | 大连理工大学 | A kind of marine information on-line monitoring buoyage towards winter sea ice risk management |
-
2019
- 2019-11-13 CN CN201911106791.5A patent/CN110852512A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004191268A (en) * | 2002-12-13 | 2004-07-08 | Mitsubishi Heavy Ind Ltd | Buoy, buoy system, and billow information measuring device |
| KR101152016B1 (en) * | 2012-02-21 | 2012-06-08 | (주)세영통신 | System for receiving and transmitting status information using buoy |
| CN105389468A (en) * | 2015-11-06 | 2016-03-09 | 中国海洋大学 | Rip current forecasting method |
| CN109927849A (en) * | 2019-04-11 | 2019-06-25 | 南京信息工程大学 | Ocean wave buoy and wave statistics method based on six-dimension acceleration sensor |
| CN110182318A (en) * | 2019-05-14 | 2019-08-30 | 大连理工大学 | A kind of marine information on-line monitoring buoyage towards winter sea ice risk management |
Non-Patent Citations (1)
| Title |
|---|
| 刘国栋: "波浪浮标数据处理方法研究", 《中国优秀博硕士学位论文全文数据库(硕士) 基础科学辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112377032A (en) * | 2020-10-19 | 2021-02-19 | 秦皇岛远舟工业气体有限公司 | Cruise ship guest room automatic control method, system, device and storage medium |
| CN113344275A (en) * | 2021-06-15 | 2021-09-03 | 上海交通大学 | Floating platform wave climbing online forecasting method based on LSTM model |
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