Method for analyzing sea water flow rate and wave data

Abstract

The application provides a seawater flow velocity and wave data analysis method and application, and belongs to the technical field of seawater monitoring. The application solves the technical problems of low seawater flow velocity and wave data collection efficiency and poor analysis accuracy. The seawater flow velocity and wave data analysis method comprises the following steps: device arrangement; real-time data collection; data processing; data feature extraction; data comparison and correction; model establishment; statistical analysis; visual display; result interpretation and report. The seawater flow velocity and wave data analysis method is applied to the following fields: marine engineering; marine resource development; marine environment management; marine disaster early warning; marine ecological protection; ship traffic management and marine weather forecast. The application can realize real-time collection of seawater flow velocity and wave data in different ways, accurate processing and analysis, comparison of multiple parties, removal of errors, acquisition of the most accurate data, establishment of a mathematical model, statistical analysis and visual display, and has high reliability and wide application range.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of seawater monitoring, and relates to a seawater flow velocity and wave data analysis method. BACKGROUND

[0002] The ocean is closely related to human life, and global marine environmental problems occur frequently, which forces human beings to pay attention to the ocean and rationally develop marine resources. The way to study the change of the marine environment is divided into field observation and numerical simulation, and the data of field observation is the basis of numerical simulation. Seawater flow velocity data is an important parameter for human beings to study the change process of the ocean. The flow field distribution of seawater can reflect the topography, weather change and water exchange capacity of the sea area to a certain extent. Therefore, accurate seawater flow velocity data is the basic data for studying the change of the marine environment.

[0003] If long-term continuous high-precision observation is carried out, the amount of data stored in the instrument at the end of observation is very large. For example, if 25 days of observation is carried out, the sampling frequency is 4Hz / s, and then the length of the finally obtained data reaches more than 800 million. The data occupies a large memory, and is more troublesome to use.

[0004] Long-term monitoring of the surface flow field of the ocean, mastering and predicting the law of the ocean current, has important significance for fishery, shipping, pollution and military, etc.

[0005] The existing seawater flow velocity and wave data analysis method has low efficiency and poor analysis accuracy, cannot collect seawater flow velocity and wave data in real time, cannot accurately process and analyze, generally only uses a floating monitoring device, cannot perform suspended monitoring, cannot perform multi-party comparison, and cannot obtain the most accurate data.

[0006] Based on this, we propose a seawater flow velocity and wave data analysis method with high collection efficiency and high analysis accuracy, high reliability and wide application range. SUMMARY

[0007] The purpose of the application is to solve the above problems existing in the prior art, and a seawater flow velocity and wave data analysis method is proposed. The technical problem to be solved by the application is how to realize high collection efficiency and high analysis accuracy of seawater flow velocity and wave data analysis, high reliability and wide application range.

[0008] The purpose of the application can be achieved by the following technical solutions:

[0009] A seawater flow velocity and wave data analysis method comprises the following analysis steps:

[0010] Step one, device arrangement: 1. Set up positioning monitoring devices at different spatial locations in seawater; 2. Place mobile monitoring devices in different spatial locations in seawater; 3. Data transmission equipment; 4. Other equipment;

[0011] Step two, real-time data collection: Real-time seawater flow rate and wave data collection through the monitoring devices in step one; accurate position and speed information can be provided, and wave data includes but is not limited to wave height, period, direction, wind field and temperature;

[0012] Step three, data processing: The collected raw data needs to be pre-processed and post-processed, and the data processing methods include but are not limited to data cleaning, filtering and denoising, and the signal processing and data analysis techniques used include but are not limited to frequency domain analysis and time domain analysis;

[0013] Step four, data feature extraction: Extract useful features from processed data, including but not limited to average flow rate, maximum wave height, and wavelength; used to describe the basic characteristics of seawater flow rate and wave;

[0014] Step five, data comparison and correction: Based on the measured data, multiple comparisons are made to remove errors, or take the average value, or take the maximum value, or take the minimum value, to obtain the most accurate data;

[0015] Step six, model establishment: Based on the measured data, a mathematical model is established to describe the relationship between seawater flow rate and wave; the model includes but is not limited to fluid dynamics model and wave model, and by solving these models, the predicted values of flow rate and wave can be obtained;

[0016] Step seven, statistical analysis: Statistical analysis is performed on the measured data and model predicted values, and the statistical quantities include but are not limited to mean, variance and correlation coefficient, to evaluate the stability and reliability of the data; at the same time, statistical methods are used to analyze the correlation between flow rate and wave; statistical characteristics include but are not limited to average flow rate, wave height probability distribution and spectral characteristics;

[0017] Step eight, visualization: The measured data and model predicted values are visualized in the form of charts, images and maps, etc., to better understand and analyze the data. Various visualization tools and techniques can be used, including but not limited to JONSWAP, Matplotlib, Sea-born and Tableau;

[0018] Step nine, result interpretation and report: Interpret and summarize the analysis results and write the corresponding report; present the analysis results in a clear and accurate manner to relevant personnel to support decision-making and further research.

[0019] The positioning monitoring device in the first step includes but is not limited to wave meter, sonar, radar, GPS, sea surface sensor and sea bottom pressure sensor.

[0020] The wave meter includes PUV wave meter, SUV wave meter and array wave meter, the PUV wave meter includes but is not limited to Aquadopp, FSI 3D WAVE and MIDAS DWR; the SUV wave meter includes but is not limited to AWAC, and the array wave meter includes but is not limited to ADCP.

[0021] The moving monitoring device in the first step includes but is not limited to acceleration sensor, GPS wave measuring buoy and suspended monitoring equipment.

[0022] The data transmission equipment in the first step includes but is not limited to satellite sensor.

[0023] The arrangement mode of the suspended monitoring equipment is vertical column type distribution, horizontal plane distribution and space stereoscopic distribution.

[0024] The suspended monitoring equipment includes a body, the outside of the body is provided with two symmetrical anti-collision half cover bodies, and the two anti-collision half cover bodies are cooperatively installed through a plurality of mounting screws;

[0025] The front end of the body is provided with a front cover body, the front end of the front cover body is provided with a cover head installation bin, the rear end of the body is provided with a rear cover body, the rear end of the rear cover body is provided with an impeller installation bin, the rear end of the rear cover body is rotatably provided with an impeller, the impeller is located in the impeller installation bin, an impeller motor is fixed in the rear cover body, and an output shaft of the impeller motor is in transmission connection with the impeller.

[0026] A waterproof ring is arranged between the front cover body and the body, between the rear cover body and the body and between the rear cover body and the impeller installation bin, four body installation bins that are circumferentially distributed are arranged on the front side of the body, upper and lower symmetrical body installation bins are arranged on the rear side of the body, left and right symmetrical position adjusting tabs are rotatably arranged on the rear side of the body, a position adjusting motor is arranged in the body, and an output shaft of the position adjusting motor is in transmission connection with the position adjusting tabs.

[0027] A camera, a light supplement lamp and a sonar are arranged in the cover head installation bin and the body installation bin, and transparent cover plates are arranged at the ends of the cover head installation bin and the body installation bin, and the transparent cover plates and the cover head installation bin and the transparent cover plates and the body installation bin are cooperatively installed through a plurality of sealing pads and locking screws.

[0028] The body installation bin and the position adjusting tabs extend out of the outside of the anti-collision half cover bodies.

[0029] The inside of the body is provided with a working cabin, an embedded water suction cabin and a gas distribution cabin, and the inside of the working cabin is provided with a PLC mainboard, a CPS module, a storage battery, a buzzer and an air compression pump.

[0030] The PLC mainboard is electrically connected with the CPS module, the battery, the buzzer, the air compression pump, the camera, the light supplement lamp, the sonar, and the impeller motor and the position adjusting motor.

[0031] With the above structure, the anti-collision half cover body is used to protect the machine body and has good anti-collision function. The output shaft of the impeller motor drives the impeller to rotate, providing the moving power of the suspended monitoring device. The output shaft of the position adjusting motor drives the position adjusting paddle to rotate, which is used to control the moving direction of the suspended monitoring device. The transparent cover plate is convenient for the camera to shoot related content. The light supplement lamp is used for light supplement. The sonar is used to locate the water depth of the suspended monitoring device, and cooperates with the buzzer to drive away animals. The PLC mainboard controls the timing power-on to start, which is used for power preservation. The built-in water suction tank and air distribution tank cooperate with the air compression pump to suck water and compress air for sinking the suspended monitoring device, and to drain water and decompress air for floating the suspended monitoring device. The waterproof ring is used for sealing and waterproofing. The transparent cover plate and the machine body mounting bin are installed through cooperation of a plurality of sealing pads and locking screws, which ensures sealing between the transparent cover plate and the machine body mounting bin.

[0032] The CPS module is used to send its position information to the satellite, which records the position of the suspended monitoring device in real time.

[0033] The application of a method for analyzing seawater flow rate and wave data, the method for analyzing seawater flow rate and wave data is applied in the following fields: ocean engineering: used for designing and evaluating the stability and safety of marine structures, including but not limited to offshore wind farms and coastal protection projects;

[0034] Marine resource development: used for evaluating the availability and sustainability of marine energy, fishery resources, etc.; wave data can understand the distribution, intensity and period information of waves, and then evaluate the resource reserves and development potential of wave energy. At the same time, flow rate data can be used to evaluate the influence of water flow on wave energy conversion devices to improve the efficiency of wave energy conversion

[0035] Marine environmental management: used for monitoring and predicting environmental problems such as marine pollution and coastal erosion, and formulating corresponding protection measures;

[0036] Marine disaster warning: used for predicting and warning marine disasters such as tsunamis and storm surges to reduce losses and protect people's life and property safety.

[0037] Marine ecological protection: wave and flow rate data help scientists understand the dynamic changes of marine ecosystems, evaluate the impact of human activities on marine ecosystems, and formulate corresponding protection measures;

[0038] Ship traffic management: In ship traffic management, understanding flow rate and wave data can help ships plan the best route and speed to avoid collisions or grounding accidents in complex sea conditions; the above data are used to evaluate the reliability and safety of port facilities;

[0039] Ocean weather forecast: Wave and flow rate data are important parameters for ocean weather forecasting, providing information on sea surface wind field, tides, and sea wave, which helps improve the accuracy and reliability of weather forecasting.

[0040] Compared with the prior art, the method and application of sea water flow rate and wave data analysis have the following advantages:

[0041] By positioning the monitoring device and the mobile monitoring device, real-time collection of sea water flow rate and wave data in different ways is realized;

[0042] The collected raw data need to be pre-processed and post-processed to ensure the authenticity and reliability of the data, and the signal processing and data analysis technology used ensures the accuracy of data analysis;

[0043] Through data feature extraction and data comparison correction, characteristic data are quickly obtained, and based on the above various types of measured data, multi-party comparison is carried out to remove errors and obtain the most accurate data;

[0044] A mathematical model is established and statistical analysis is carried out to analyze the correlation between flow rate and wave, and to visualize the results, and finally the analysis results are interpreted and summarized, and a corresponding report is written.

[0045] The method of analyzing sea water flow rate and wave data has high reliability and wide application range. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 is the analysis method flowchart of the present application.

[0047] Figure 2 is the analysis method flowchart of the present application.

[0048] Figure 3 is the measurement method schematic diagram of the wave measurement of SUV method in the present application.

[0049] Figure 4 is the wave array calculation method schematic diagram of ADCP in the present application.

[0050] Figure 5 is a typical comparison schematic diagram of the wave meter of the buoy type in the present application.

[0051] Figure 6 is a typical comparison schematic diagram of the wave meter of the buoy type in the present application.

[0052] Figure 7 is a structural schematic diagram of the suspension monitoring device in the present application.

[0053] Figure 8 is a partial cutaway structural schematic diagram of the suspension monitoring device in the present application.

[0054] Figure 9 is an application schematic diagram of the analysis method of the present application

[0055] In the figure, 1, front cover body; 2, cover head mounting bin; 3, transparent cover plate; 4, anti-collision half cover body; 5, machine body mounting bin; 6, rear cover body; 7, waterproof ring; 8, impeller mounting bin; 9, impeller; 10, position adjusting knob; 11, mounting screw; 12, machine body; 13, camera; 14, light supplement lamp; 15, sonar; 16, sealing gasket; 17, locking screw. DETAILED DESCRIPTION

[0056] The following is a specific embodiment of the present application and further describes the technical solutions of the present application in combination with the drawings, but the present application is not limited to these embodiments.

[0057] As Figures 1-8 shown, the analysis method of the seawater flow rate and wave data includes the following analysis steps:

[0058] Step one, device arrangement: 1, set the positioning monitoring device at the fixed monitoring position in different spatial positions of seawater; 2, place the mobile monitoring device in different spatial positions of seawater; 3, data transmission equipment; 4, other equipment;

[0059] Step two, real-time data acquisition: real-time seawater flow rate and wave data acquisition is performed through the monitoring device of step one; accurate position and speed information can be provided, and the wave data includes but is not limited to wave height, period, direction, wind field and temperature;

[0060] Step three, data processing: the collected original data needs to be pre-processed and post-processed, and the data processing mode includes but is not limited to data cleaning, filtering and denoising, and the signal processing and data analysis techniques used include but are not limited to frequency domain analysis and time domain analysis;

[0061] Step four, data feature extraction: useful features are extracted from the processed data, and the features include but are not limited to average flow rate, maximum wave height, and wavelength; which are used to describe the basic characteristics of seawater flow rate and wave;

[0062] Step five, data comparison and correction: based on the measured data, multiple comparisons are performed to remove errors, or the average value is taken, or the maximum value is taken, or the minimum value is taken, to obtain the most accurate data;

[0063] Step six, model establishment: based on the measured data, a mathematical model is established to describe the relationship between seawater flow rate and wave; the model includes but is not limited to fluid dynamics model and wave model, by solving these models, the predicted value of flow rate and wave can be obtained;

[0064] Step seven, statistical analysis: statistical analysis is carried out on the measured data and model predicted value, and the analysis statistics include but are not limited to mean, variance and correlation coefficient, in order to evaluate the stability and reliability of the data; at the same time, statistical method is used to analyze the correlation between flow rate and wave; statistical characteristics include but are not limited to average flow rate, probability distribution of wave height and spectral characteristics;

[0065] Step eight, visual display: the measured data and model predicted value are visualized in the form of charts, images and maps, so as to better understand and analyze the data. Various visualization tools and technologies can be used, including but not limited to JONSWAP, Matplotlib, Sea-born and Tableau;

[0066] Step nine, result interpretation and report: the analysis results are interpreted and summarized, and the corresponding report is written; the analysis results are presented to the relevant personnel in a clear and accurate manner, in order to support decision-making and further research.

[0067] The positioning monitoring device in step one includes but is not limited to wave meter, sonar, radar, GPS, sea surface sensor and seabed pressure sensor.

[0068] The wave meter includes PUV method wave meter, SUV method wave meter and array method wave meter, the PUV method wave meter includes but is not limited to Aquadopp, FSI 3D WAVE and MIDAS DWR; the SUV method wave meter includes but is not limited to AWAC, and the array method wave meter includes but is not limited to ADCP.

[0069] The moving monitoring device in step one includes but is not limited to acceleration sensor, GPS wave measuring buoy and suspended monitoring equipment.

[0070] The data transmission equipment in step one includes but is not limited to satellite sensor;

[0071] The arrangement mode of the suspended monitoring equipment is vertical column type distribution, horizontal plane distribution and space three-dimensional distribution.

[0072] The suspended monitoring equipment includes a machine body 12, the outside of the machine body 12 is provided with two symmetrical anti-collision half cover bodies 4, and the two anti-collision half cover bodies 4 are cooperatively installed through a plurality of mounting screws 11;

[0073] The front end of the body 12 is provided with a front cover body 1, the front end of the front cover body 1 is provided with a cover head mounting bin 2, the rear end of the body 12 is provided with a rear cover body 6, the rear end of the rear cover body 6 is provided with an impeller mounting bin 8, the rear end of the rear cover body 6 is rotatably provided with an impeller 9, the impeller 9 is located inside the impeller mounting bin 8, and an impeller motor is fixedly arranged inside the rear cover body 6, and an output shaft of the impeller motor is in transmission connection with the impeller 9;

[0074] A waterproof ring 7 is arranged between the front cover body 1 and the body 12, between the rear cover body 6 and the body 12, and between the rear cover body 6 and the impeller mounting bin 8, four body mounting bins 5 that are circumferentially distributed are arranged on the front side of the body 12, body mounting bins 5 that are symmetrically arranged in up and down directions are arranged on the rear side of the body 12, position adjusting knobs 10 that are symmetrically arranged in left and right directions are rotatably arranged on the rear side of the body 12, and a position adjusting motor is arranged inside the body 12, and an output shaft of the position adjusting motor is in transmission connection with the position adjusting knobs 10;

[0075] The inside of the cover head mounting bin 2 and the body mounting bin 5 is provided with a camera 13, a light supplement lamp 14 and a sonar 15, the end of the cover head mounting bin 2 and the body mounting bin 5 is provided with a transparent cover plate 3, and the transparent cover plate 3 and the cover head mounting bin 2 and the transparent cover plate 3 and the body mounting bin 5 are mounted in cooperation through a plurality of sealing pads 16 and locking screws 17;

[0076] The body mounting bin 5 and the position adjusting knob 10 extend out of the outside of the anti-collision half cover body 4;

[0077] The inside of the body 12 is provided with a working cabin, a built-in water suction cabin and a gas distribution cabin, the inside of the working cabin is provided with a PLC mainboard, a CPS module, a storage battery, a buzzer and an air compression pump;

[0078] The PLC mainboard is electrically connected with the CPS module, the storage battery, the buzzer, the air compression pump, the camera 13, the light supplement lamp 14, the sonar 15, the impeller motor and the position adjusting motor.

[0079] The anti-collision half cover body 4 is used for protecting the body 12 and has good anti-collision function, the output shaft of the impeller motor drives the impeller 9 to rotate, the output shaft of the position adjusting motor drives the position adjusting knob 10 to rotate, the transparent cover plate 3 is convenient for the camera 13 to shoot related content, the light supplement lamp 14 is used for light supplement, the sonar 15 is used for positioning the water depth of the present suspended monitoring device, and is used for driving animals in cooperation with the buzzer, the PLC mainboard controls the timing power-on to be turned on and is used for power preservation, the built-in water suction cabin and the gas distribution cabin cooperate with the air compression pump to perform water suction and air compression and are used for sinking the present suspended monitoring device, perform drainage and air decompression and are used for floating the present suspended monitoring device, and the waterproof ring 7 is used for sealing and waterproofing, the transparent cover plate 3 and the body mounting bin 5 are mounted in cooperation through a plurality of sealing pads 16 and locking screws 17, and sealing between the transparent cover plate 3 and the body mounting bin 5 is ensured;

[0080] The CPS module is used to send its position information to the satellite, which records the position of the floating monitoring device in real time.

[0081] As Figure 9 The application of the seawater flow velocity and wave data analysis method is applied in the following fields: marine engineering: used for designing and evaluating the stability and safety of marine structures, including but not limited to offshore wind farms and coastal protection projects;

[0082] Marine resource development: used for evaluating the availability and sustainability of marine energy, fishery resources, etc.; wave data can understand the distribution, intensity and period information of waves, and then evaluate the resource reserves and development potential of wave energy; at the same time, flow velocity data can be used to evaluate the influence of water flow on wave energy conversion device to improve the efficiency of wave energy conversion

[0083] Marine environmental management: used for monitoring and predicting environmental problems such as marine pollution and coastal erosion, and formulating corresponding protection measures;

[0084] Marine disaster warning: used for predicting and warning marine disasters such as tsunamis and storm surges to reduce losses and protect people's lives and property safety;

[0085] Marine ecological protection: wave and flow velocity data help scientists understand the dynamic changes of marine ecosystems, evaluate the impact of human activities on marine ecosystems, and formulate corresponding protection measures;

[0086] Ship traffic management: in ship traffic management, understanding flow velocity and wave data can help ships plan the best route and speed to avoid accidents such as collisions or grounding in complex sea conditions; the above data are used to evaluate the reliability and safety of port facilities;

[0087] Marine weather forecasting: wave and flow velocity data are important parameters for marine weather forecasting, providing information about sea surface wind field, tide, wave, which helps to improve the accuracy and reliability of weather forecasting.

[0088] The working principle of the present application:

[0089] Step one, device arrangement: 1, fixed monitoring position setting positioning monitoring device in different spatial positions of seawater, positioning monitoring device is wave instrument, sonar, radar, GPS, sea surface sensor and seabed pressure sensor and other components, wave instrument is PUV method wave instrument, SUV method wave instrument and array method wave instrument, PUV method wave instrument is Aquadopp, FSI 3D wave and MIDAS DWR; SUV method wave instrument is AWAC, array method wave instrument is ADCP; 2, placing mobile monitoring device in different spatial positions of seawater, which is acceleration sensor, GPS wave measuring buoy and suspended monitoring equipment; 3, data transmission equipment is satellite sensor and other equipment; 4, other equipment;

[0090] Step two, real-time data acquisition: real-time acquisition of seawater flow rate and wave data at the fixed position by the positioning monitoring device of step one; several mobile monitoring devices are distributed in vertical, horizontal and spatial three-dimensional distribution according to requirements, and the mobile monitoring devices flow with seawater to acquire real-time seawater flow rate and wave data; accurate position and speed information can be provided, and wave data includes wave height, period, direction, wind field and temperature data;

[0091] The anti-collision half cover body 4 is used for protecting the machine body 12, has good anti-collision function, the output shaft of the impeller motor drives the impeller 9 to rotate, provides the moving power of the suspended monitoring equipment, the output shaft of the adjusting motor drives the adjusting paddle 10 to rotate, which is used for adjusting the moving direction of the suspended monitoring equipment, the transparent cover plate 3 facilitates the camera 13 to shoot related content, the fill light 14 is used for light filling, the sonar 15 is used for positioning the water depth of the suspended monitoring equipment, and cooperates with the buzzer to drive away animals, the PLC mainboard controls the timing power-on opening, which is used for power preservation, the built-in water suction chamber and the air distribution chamber cooperate with the air compression pump to perform water suction and air compression for sinking the suspended monitoring equipment, and perform drainage and air decompression for floating the suspended monitoring equipment; the waterproof ring 7 is used for sealing and waterproofing, the transparent cover plate 3 and the machine body mounting bin 5 are mounted through cooperation of the sealing pads 16 and the locking screws 17, so that the transparent cover plate 3 and the machine body mounting bin 5 are sealed;

[0092] The CPS module is used for sending position information to the satellite, recording the position of the suspended monitoring equipment in real time, and recording.

[0093] The seabed pressure sensor measures the pressure change caused by the fluctuation of waves, and the measured wave period is shorter and more accurate; the theoretical formula of the dynamic pressure at the seabed pressure sensor under the water surface changing with time t derived according to the linear wave theory is ; in the formula, P is pressure, d is water depth, g is gravity acceleration, z is positive in upward direction, k is wave number, ω is wave circular frequency, A is free surface wave amplitude, and ρ is density of water. ​

[0094] Wave probe PUV method: In the PUV measurement method, in addition to the traditional pressure measurement method for statistical calculation of undirectional wave elements, the acoustic Doppler principle is used to calculate the flow velocity in the horizontal and vertical directions (u and v), so as to obtain the flow direction; the wave probe for calculating waves by the PUV method mainly includes Aquadopp (1M), FSI 3D WAVE, MIDAS DWR, etc.

[0095] Wave probe SUV method: In the SUV measurement method, in addition to the acoustic Doppler principle for calculating the flow velocity in the horizontal and vertical directions (u and v) to obtain the flow direction, the acoustic wave surface tracking method is used to calculate the wave height and wave spectrum; the difference between SUV and PUV is that the wave surface measurement is changed to acoustic measurement instead of pressure sensor measurement; the device for calculating waves by the SUV method mainly includes AWAC.

[0096] Wave probe array method: The wave probe uses the flow velocity of 3-4 beam directions of 3 layers of units close to the water surface as an array, and the wave height and wave direction are obtained by inversion of the track flow velocity of these units; the MLM (maximum likelihood statistical method) is generally used in the processing process to calculate the wave direction; the device for calculating waves by the array method mainly includes ADCP.

[0097] There are two types of wave measuring buoys, one is acceleration sensor, which uses high-precision acceleration sensor to measure the double integral of acceleration to calculate the wave height and wave spectrum series, the other is GPS wave measuring buoy, which calculates the wave parameters by detecting the relative motion speed of GPS; and the calculation of wave direction by compass or motion sensor.

[0098] Telemetric wave measurement: Telemetric wave measurement refers to a measurement method different from direct contact with seawater, which generally uses high-frequency or ultrahigh-frequency radar waves to irradiate and receive the reflection of sea surface waves.

[0099] Step three, data processing: The collected raw data needs to be preprocessed and postprocessed, and the data processing methods include but are not limited to data cleaning, filtering and denoising, and the signal processing and data analysis techniques used include but are not limited to frequency domain analysis and time domain analysis.

[0100] Filtering method is derived from engineering technology, which is a specific application and development of linear theory. From the perspective of system response analysis, the filter is actually a system, and the function x(t) to be filtered can be regarded as the input of the system, and the result y(t) of filtering is regarded as the output of the system. A linear filtering process can be represented by equation (1):

[0101] y(t)= (1)

[0102] In the filtering method, the impulse response function is called the time function, weight function or filter factor of the filter. The common filter usually has the characteristic of non-time variation, which corresponds to the non-time variation constant coefficient linear system. That is, when the input is and the output is y(t), then for any , when the input is , the output must be y( ). This shows that the physical characteristics of the filter are not changed with time, that is, the waveform of the output signal does not change when the input signal is delayed by , and the only difference is that the output signal is also delayed by .

[0103] In the filtering method, the Fourier transform H( ) of the term in formula (1) is called the spectral function of the filter.

[0104] Let and be the Fourier transforms of and the filtering result y(t) respectively, and from formula (1) we have: ( )=H( ) )(2)

[0105] The frequency response function, that is, the spectral function H( ) of the filter here, can be written as H( )=|H( )| , where H( ) represents the amplitude ratio of the output to the input, and represents the phase difference of the output to the input. In this way, as long as H( ) is properly selected, the filtering requirements can be achieved. For example, sometimes the relationship among the above-mentioned observation data, that is, the effective signal and the noise signal, can be written as follows:

[0106] (3)

[0107] and only contain low frequency signals, only contain high frequency signals, and their frequency spectrum ( ) and ( ) have different frequency domain distribution characteristics, when | , = 0; and = 0; and = 0; and Thus, a filter can be designed such that its spectral function has the following properties:

[0108] H( ) = H( ) (4)

[0109] From equation (3) and the fact that Fourier transform is a linear transform, the spectrum of the signal before filtering is (5)

[0110] Let the result of filtering be y(t), and its spectrum (6)

[0111] From equations (4), (5) and (6), we have

[0112] (7)

[0113] Taking inverse Fourier transform of , we get the effective signal s(t). Thus, the high frequency noise is eliminated and the low frequency effective signal is preserved, so that the purpose of filtering is achieved.

[0114] Step four, data feature extraction: useful features are extracted from the processed data, including but not limited to average flow rate, maximum wave height, wave length; used to describe the basic characteristics of seawater flow rate and wave;

[0115] Step five, data comparison correction: based on the above various types of measured data, multi-party comparison is carried out to remove errors, or take the average value, or take the maximum value, or take the minimum value, to obtain the most accurate data;

[0116] ​​​​​​​​​​​​​​​​​​​​​​​​Step six, model establishment: based on the measured data, a mathematical model is established to describe the relationship between the flow rate of seawater and the wave; the model includes but is not limited to fluid dynamics model and wave model, by solving these models, the predicted values of flow rate and wave can be obtained;

[0117] Step seven, statistical analysis: statistical analysis is performed on the measured data and model predicted values, and the analysis statistics include but are not limited to mean, variance and correlation coefficient, to evaluate the stability and reliability of the data; at the same time, statistical methods are used to analyze the correlation between flow rate and wave; statistical characteristics include but are not limited to average flow rate, probability distribution of wave height and spectral characteristics;

[0118] Step eight, visualization display: the measured data and model predicted values are visualized in the form of charts, images and maps, etc., to better understand and analyze the data; various visualization tools and techniques can be used, including but not limited to JONSWAP, Matplotlib, Sea-born and Tableau;

[0119] Step nine, result interpretation and report: the analysis results are interpreted and summarized, and the corresponding report is written; the analysis results are presented to the relevant personnel in a clear and accurate manner to support decision-making and further research.

[0120] In summary, through the cooperation of positioning monitoring devices and mobile monitoring devices, real-time collection of seawater flow rate and wave data in different ways is realized;

[0121] The collected raw data needs to be preprocessed and postprocessed to ensure the authenticity and reliability of the data; signal processing and data analysis techniques are used to ensure the accuracy of data analysis;

[0122] Through data feature extraction and data comparison correction, characteristic data is quickly obtained; based on the above various measured data, multi-party comparison is carried out to remove errors and obtain the most accurate data;

[0123] A mathematical model is established, and statistical analysis is performed to analyze the correlation between flow rate and wave, and visualization is performed; finally, the analysis results are interpreted and summarized, and the corresponding report is written.

[0124] The seawater flow rate and wave data analysis method described in this paper has high reliability and wide application range.

[0125] The specific embodiments described in this paper are only illustrative of the spirit of the invention. Those skilled in the art of the invention can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, without deviating from the spirit of the invention or exceeding the scope defined by the appended claims.

Claims

1. A method of analyzing sea water flow velocity and wave data, characterized by, The analysis steps include: Step 1: Device arrangement: fixed monitoring position setting positioning monitoring device in different spatial positions of seawater; placing mobile monitoring device in different spatial positions of seawater; wherein the positioning monitoring device includes wave instrument, sonar, radar, GPS, sea surface sensor and sea bottom pressure sensor, the mobile monitoring device includes acceleration sensor, GPS wave measuring buoy and suspended monitoring equipment, the suspended monitoring equipment includes body, the outside of the body is provided with two symmetrical anti-collision half cover bodies, the two anti-collision half cover bodies are cooperatively installed through a plurality of mounting screws; the front end of the body is provided with a front cover body, the front end of the front cover body is provided with a cover head installation bin, the rear end of the body is provided with a rear cover body, the rear end of the rear cover body is provided with an impeller installation bin, the rear end of the rear cover body is rotatably provided with an impeller, the impeller is located inside the impeller installation bin, the inside of the rear cover body is fixedly provided with an impeller motor, the output shaft of the impeller motor is in transmission connection with the impeller; waterproof rings are arranged between the front cover body and the body, between the rear cover body and the body, and between the rear cover body and the impeller installation bin, four circumferentially distributed body installation bins are arranged on the front side of the body, upper and lower symmetrical body installation bins are arranged on the rear side of the body, left and right symmetrical position adjusting tabs are rotatably arranged on the rear side of the body, a position adjusting motor is arranged inside the body, and the output shaft of the position adjusting motor is in transmission connection with the position adjusting tabs; a camera, a light supplement lamp and a sonar are arranged inside the cover head installation bin and the body installation bin, transparent cover plates are arranged at the ends of the cover head installation bin and the body installation bin, and the transparent cover plates and the cover head installation bin and the transparent cover plates and the body installation bin are cooperatively installed through a plurality of sealing pads and locking screws; the body installation bin and the position adjusting tabs extend out of the outside of the anti-collision half cover bodies; the inside of the body is provided with a working cabin, an embedded water suction cabin and a gas distribution cabin, the inside of the working cabin is provided with a PLC mainboard, a CPS module, a storage battery, a buzzer and an air compression pump; the PLC mainboard is electrically connected with the CPS module, the storage battery, the buzzer, the air compression pump, the camera, the light supplement lamp, the sonar, the impeller motor and the position adjusting motor; Step 2: Real-time data acquisition: real-time seawater flow rate and wave data acquisition is performed through the monitoring device of step 1; the wave data at least includes wave height, period, direction, wind field and temperature; Step 3: Data processing: pre-processing and post-processing are performed on the collected original data; Step 4: Data feature extraction: useful features are extracted from the processed data, the features at least include average flow rate, maximum wave height and wave length; Step 5: Data comparison and correction: based on the measured data, multi-party comparison is performed, errors are removed, average value, maximum value or minimum value is taken, and the most accurate data is obtained; Step 6: Model establishment: based on the measured data, a mathematical model is established to describe the relationship between seawater flow rate and wave; the mathematical model at least includes fluid dynamics model and wave model, by solving these models, the predicted value of flow rate and wave is obtained; Step 7: Statistical analysis: statistical analysis is performed on the measured data and the predicted value, at the same time, statistical method is used to analyze the correlation between flow rate and wave; the statistical features at least include average flow rate and probability distribution and spectral characteristics of wave height; Step eight, visual display: the measured data and the predicted values are visualized; Step nine, result interpretation and reporting: the analysis results are interpreted and summarized, and the corresponding report is written; the analysis results are presented to the relevant personnel.

2. The method of claim 1, wherein, The wave instrument includes a PUV method wave instrument, a SUV method wave instrument and an array method wave instrument, the PUV method wave instrument at least includes Aquadopp, FSI3D WAVE and MIDAS DWR; the SUV method wave instrument at least includes AWAC, and the array method wave instrument at least includes ADCP.

3. The method of claim 2, wherein, The arrangement mode of the suspension type monitoring device is vertical column type distribution, horizontal plane distribution and space three-dimensional distribution.

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