TW200928303A - Observation method for sea-level wave fluctuation by using GPS - Google Patents

Abstract

This invention relates to an observation method for sea-level wave fluctuation by using a GPS, in which a GPS module is used to detect and obtain the wave movement speed variations on X-axis, Y-axis, and Z-axis, and convert the same to output a wave movement speed time series. An analyzing and processing module filters out the low frequency noise in the movement speed time series and leave only the actual wave movement speed time series. The movement speed time series is then processed by Fourier transform analysis in addition to the wave theory so as to calculate the wave data such as velocity spectrum, level spectrum, significant wave height, average cycle, direction spectrum, etc. Thus, this invention is not limited by constraint of GPS base stations and not interfered by low frequency noise. It can be used to observe sea-level wave fluctuation in any offshore area as long as a buoy used as the carrier is capable of moving with the wave particles. Thus, without limitation to the type of the buoy, this invention is capable of obtaining accurate information of sea-level wave variation.

Description

200928303 IX. Description of the invention: [Technical field to which the invention pertains] The present invention is a GPS sea surface fluctuation observation method, and more particularly to a method for detecting the velocity of water particles on the sea and obtaining water surface fluctuation data. [Prior Art] According to the conventional observation and acquisition of the relevant wave information of the sea area, observation is made by using the observation device of the floating body. The observation device uses the conventional accelerometer to observe the wave wave system based on the wave analysis theory, and analyzes the sequence data of the acceleration, east-west and north-south inclination to obtain the wave data. When citing this theory, the floating body must be able to accurately measure the change in inclination with the wave surface movement. However, the floating body used in the prior art must be limited to a dish-shaped floating body in order to optimize the observation effect, and other types of floating bodies cannot be used. Furthermore, the conventional observation technique uses an accelerometer to observe waves. Only when observing

The accelerometer generates noise, and the acceleration time sequence data output by the accelerometer is calculated according to the wave/good analysis theory, and then converted to the water level spectrum by the frequency quadratic reciprocal count _ _ wave height, Zhou Lin material. Ah, the acceleration spectrum noise is also at the same time. After the frequency is quadruple-reciprocal conversion, the noise at the low-frequency noise is amplified at a higher frequency than at the high frequency, and the wrong water level spectrum is obtained. The conventional technology also has a full-scale RTK Gps ride. When using RTK-GPS, use + # with more than two GPS receivers, and set one of the fixed points in the known position as the GpS base station, which is calculated based on the received observation data. Atmospheric error # + , production (ionosphere, tropospheric delay) and the impact of the obstacle error 5 200928303 . Ringing 'through the ground domain money money letter, will send the wrong value of the positive value of his GPS receivers' instant calculation The relative vector of the position of the device and the base station is obtained: the position data with high precision is obtained. Fine ·-Whether it is in the system, that is, when the distance between the reference station and the receiver increases, the influence of the atmospheric error makes the receiver only about (four) kilometers away from the reference station to achieve the public classification accuracy. Therefore, using RTK GPS to measure H and % in coastal waters, this technology is applied to deep sea areas, and the measurement accuracy will be greatly reduced.练 In this practice, we have solved the problem of (4) fine technology, and after the continuous design and improvement, the invention has been made. SUMMARY OF THE INVENTION The present invention provides a GPS sea surface fluctuation observation method, the purpose of which is to make the observation device provided on the floating body not subject to the limitation of the GPS reference station and the interference of the low frequency noise, and perform sea surface fluctuation observation in any sea area. And only the floating body of the vehicle can move with the wave water particles, and the type of the floating body is not limited, so that an accurate sea surface change information can be obtained. In order to achieve the above object, the present invention is a GPS wave surface observation method, which comprises: the GPS module detects the amount of change of the wave motion speed in the X axis, the γ axis and the z axis, and converts the output. The wave motion speed time sequence is used by the analysis processing module to filter out the low frequency noise contained in the sequence of the motion speed, retaining the sequence of the motion speed truly belonging to the wave, and applying the Fourier transform analysis method to the motion speed time series, and matching the wave Theoretical calculations obtain wave data such as velocity spectrum, one-dimensional water level spectrum, indicative wave height, average period and direction spectrum. 200928303 • *According to the above concept, the GPS sea motion observation method further includes: the wave data such as the water level 4, the irrational Bonan, the average period and the direction spectrum, and the knives are processed into the data words. String and store the data string in the storage module. ' Miscellaneous Syrian County' shoot_Gu_ is a hard-type machine, or F (four) Hidden card Compact F1 ash memory card as a recording medium card reader. According to the above-mentioned county, its infringing GPS fine wave her test method includes The sub-declining processing group outputs the request string to the transmission module, and the transmission unit transmits the data string to the remote base station by wireless transmission. According to the above-mentioned county, the transmission key is a radio GSM data machine, GPRS data machine or satellite transmission device. [Embodiment] The technical means of the present invention is described in detail below, and the present invention is deeply understood and recognized. ❹ First, please refer to the first figure, which is a schematic diagram of a preferred embodiment of the GPS sea surface fluctuation observation method. In the preferred embodiment, the observation method must be provided by the observation device provided on the floating body 200. (10) The observation device (10) comprises a milk module 10, an analysis processing module 20, a storage module 3A, a transmission module 4A, and a power module 50. wherein: the GPS module 1 has global positioning System (G1〇bal p〇s out (10) Adding a system 'GPS'. The GPS module 10 is electrically connected to the analysis processing module 2, and is used to instantly detect the floating body when the floating body 200 floats in a predetermined observation sea area. The water particle velocity changes in the Y direction, the Y axis, and the Z axis, and simultaneously outputs the sequence to the analysis processing module 20 corresponding to the output of the three axial motion speed. The aforementioned axis is preset to something in this example. The GPS module 10 detects the change of the water particle velocity in the east-west direction. The Y-axis is preset to be north-south in this example, that is, the GPS module detects the change of the water particle velocity in the north-south direction. The axial direction is preset to be perpendicular to the sea level in this example, that is, the GPS module 10 detects the vertical speed change of the water level. ❹ ❹ The analysis processing module 20 and the GPS module 1 and the storage module 3 The transmission module 40 is electrically connected. The analysis processing module 2 calculates, by using the analysis processing software, a sequence of motion speeds transmitted by the GPS module 10 as an input value, and after processing, the water particles are obtained in the X axis. , γ-axis and z-axis velocity spectrum, water level spectrum, indicative wave height, average period and Wave data such as a spectrum is encoded, and the wave data is encoded into a miscellaneous material, which is the same as the _ _ _ touch 4 () and the memory module 3 〇. The storage module 30 receives the analysis processing module 2 〇 The output data string is stored, and the data string is stored. The storage module 3G is a hard disk drive, or the oil memory card and the Conpaet Fiash pin are used to record the Wei card reader. Receiving the data string of the output of the analysis (four). The transmission module 40 is transmitted to the remote base station by wireless transmission. The transmission module 4 is a radio, a GSM data machine, a GpRS data machine or a satellite transmission. The power module 40 is electrically connected to the GPS module 1Q, the analysis processing module 2 (), the storage module 3A, and the transmission module 4G for providing the modules 1G, 20, 30 Power supply required. 8 200928303 • As shown in the second figure, when the observation device (10) is placed on the floating body and placed in a predetermined observation sea area, the floating body 200 floats on the sea surface and moves with the wave water particles, and The analysis processing module 20 activates the GPS module 10 and the transmission contact 40' at a preset time period to enable the GPS module 1 to instantly detect the water particles in the sea area in the X axis, the Y axis, and the Z axis. To the speed of the change, and simultaneously output the sequence of the three-axis motion speed to the analysis processing module 2 〇 analysis operation. As shown in the third figure, the analysis steps of the analysis processing module 2 () are as follows: ❹ Division-lake: age analysis processing 20 turns three (four) silk movement speed time sequence. The GPS module 10 detects the physical quantity of water particle velocity obtained in the x-axis, the γ-axis, and the z-axis, and transmits the sequence of motion speed to the analysis processing module 2〇. The analysis processing module 20 uses the velocity physical quantities as input values for the arithmetic processing. Step 2: S200: The analysis processing module 2 first determines whether there is a GPS signal offset before the sequence of the three-axis water particle motion speed is calculated.

Loss). The so-called GPS signal offset (10) L〇ss) refers to the speed of water particle motion output by the GPS module 1G when the satellite is offset or the signal cannot be received.

The time sequence will be (4) - the whole segment is shifted upwards (10) sigJ

Loss). When the analysis processing module 2G uses the moving average method to determine the motion speed, the sequence has a GPS signal offset, then the program for removing the GPS signal offset is entered. In contrast, the analysis group 20 performs the analysis of the wave information for the motion time series. ° Step 3: S300: When the analysis processing mode, group 2〇 determines the motion speed, the sequence has 9 200928303 GPS signal offset, then the analysis processing module 2 further filters it out, and retains the true wave speed reduction. 'The analysis operation of the wave information for the seam. Step 4: S400: In this step, the analysis processing module 2 obtains a velocity spectrum for the three-way moving speed time series ship processing. · The variation of the wave towel has a regularity (gamma〇nary), an erg-dic (erg〇dic), and a Gaussian process ((4) such as process). Then its temporal and spatial statistics n will be infinitely large. The cosine function of the unique amplitude, the word, her and the person's general direction is superimposed, as shown below: + _ at 2 about +~} (S4-1) where 'is a waveform function' This function is related to position and time, 乂For the wave frequency of Dong Mobo, _ should be, the wave direction of the human wave is the amplitude and phase of the frequency and direction. When the floating body 200 of the preferred embodiment is finished and follows the sea surface movement, the speed of the Z-axis observed by the observation device 1 can be differentiated from the time by (S4-1): The autocorrelation function (aut0-correlati〇n functi〇n) from 〇丨巧=.=笔客(2 一一11(2约+〜)(S4-2) W) is defined as follows: \Vz{ t) 'Vz{t + r)dT (S4-3)

—T where 7 is the time interval' and the spectral density function can be obtained from the Fourier transform 200928303 of the autocorrelation function, which is the energy of the wave in a certain frequency range, expressed as follows: ^f(/)=2£/? (r)exp(-/2^v)i/r ( S4-4 ) where / is fresh, 5v<y)^ z , z upconversion function (¥2) is available - dimension water level spectrum), as follows Shown: S(f)=Sv(fh(2^ c, ν〇4-〇) Ο 〇Step 5 S5〇〇: In this step, the analysis processing module 20 pairs the three-axis motion velocity time series The direction distribution function is obtained by the operation processing, and the direction spectrum is obtained. The definition of the interlaced spectrum is the interleaved correlation function (c simple c〇rrelatic) n Fusion ) The Fourier transform 'interlace correlation function Α(Γ) is defined as follows: R^ = ^ J^(^ + T)dt (S5)) In the above formula, ice) represents the waveform function, and Γ represents the delay time, and the interleaved spectrum is obtained by: (S5-2) (S5-3). Interlaced spectrum

<^(/)= LR^~2mfTdT The staggered spectrum is expressed as a complex number as follows: ^(/)=c,(/)-^(/) where d/) is called the isotope spectrum, 込(7) The steering spectrum and the directional spectrum have the relationship shown in the following equation: _=PS (/plus (S5-4) When the GPS module 10 is the floating body, the χ axial direction at the fixed position of the sea surface, γ axis And the velocity of the water particles in the axial direction, the interlaced spectrum can be expressed as follows: 200928303

Ο ΦίΜ)= _π (S5-5) When the GPS module 10 observes the velocity of the 波, γ, and ζ axes of the wavefront, it can 彳(10) six sets of staggered spectra, and six sets of spectrum After the splitter (Μ), the financial limit (four) series method is assumed, and the direction distribution function can be expanded into a finite order Fourier series, as shown below: s{f, 〇>a0{f)^an (/) cos ηθ + bn (/) sin n〇(S5-6) Then, the three-axis motion velocity obtained by GPS module 1G is substituted into the second-order solution (S5-3), and the coefficients of each are respectively The following formula is calculated: a(n- Cn(f) (· (S5-7a) a(f)- Qn(f) Αη~{2π[)27ώ (S5-7b) a (f\- ^22(/) - ^33(/) (2φ)2π (S5-7c) (S5-7d) w)--i2C£l , , cosh Λζ/ , where hsinhW W is the water depth of 4 or less: (S5-7e) i / Q? (/)+^33(/) Ί cu(f) (S5-8) The directional spectrum can be regarded as the inner product of the one-dimensional energy spectrum and the direction distribution function. S(/^) = S(/)-D(e (f5~i〇) (S5-11) &(/) stands for S(f) = i S{Le)de = Cu{f)K27tff=aQ{f)n /) is expressed as follows: i{2+ri^Cos^~(^'^(/))]^2(/)cos^-(2<9-<92(/))]| Use '), smart (/) to represent the width of the wave direction distribution. Ingeniously, the direction in which the wave is transmitted. Step 6 S600: After obtaining the water level spectrum, as in the following formula: In this step, the analysis processing module 20 uses the step four to calculate the indicative wave height Hs from the water level spectrum. With an average period t, ^ - 4.004

Tz =V«v^r (S6'2)

, 'Bu. And % are the zeroth moment and the second moment of the water level spectrum energy, respectively. In addition, the direction corresponding to the largest volume density is calculated after the fifth calculation, and (4) is the main wave direction. After the analysis processing module 2 calculates the wave data such as the velocity spectrum, the water level °, the irregular wave height, the average chat and the direction spectrum through the above program, the analysis processing = and 20 will encode the aforementioned wave data. It is a data word _, and the data string is simultaneously outputted to the storage module 3Q for storage and the transmission module 4Q. After the transmission mode, and 40 receives the data string, the data string is transmitted to the wireless transmission mode. 13 200928303 In summary, it can be known that the advantages of the present _

The wide sea surface fluctuation observation method uses the milk module analysis to obtain the X-axis ^west direction) γ axis (Nanbai) and 2 axial (up and down) water particle transport = degree phase data 1 剌 wave (4). Only the body body with the wavy water particles GP^l卩, Ke Ke < read _ restrictions. Furthermore, the method of this method is based on the wave theory-based analysis method without the need to set up a milky quasi-station to accurately obtain wave information, and there is no interference problem of low-frequency noise. In view of the above-mentioned invention, the combination and characteristics of the present invention have not been seen in the same kind of products, and the disclosure before the application is open, and the company has already complied with the statutory requirements of the patent law, and has filed an invention patent application according to law. _ X_L is only for the purpose of reading the present invention. If it is not possible to limit the equivalent of the present invention, the equivalent change and modification of the patent application and the invention. Within the scope of the invention patent. [Simple diagram of the diagram] The first diagram is a block diagram of the observation apparatus of the GPS sea surface wave method of the present invention. Explain the architectural relationship of the observing device. $二_ The observation device of the preferred embodiment of the GPS sea surface fluctuation observation method of the present invention is set in the floating body ‘the floating body floats the mosquito money (4). The second figure is the analysis and processing of the preferred embodiment of the GPS sea surface fluctuation observation method of the present invention. 200928303 • The analysis and processing flow chart of the module. [Main component symbol description] 100—observation device 10 GPS module 20 analysis processing module 30----one storage unit 40------transmission module

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Claims (1)

200928303 X. Patent application scope: 1. A GPS sea surface wave observation method, the method includes: · GPS module detects the X-axis, γ-axis and %-axis wave motion speed change amount' and turns the wheel When the wave motion speed sequence is used, the & analysis processing module removes the low frequency noise contained in the sequence when the motion speed is removed, retains the sequence of the motion speed truly belonging to the wave, and applies the Fourier transform analysis method to the motion speed time series, and According to the wave theory, the wave data such as velocity spectrum, one-dimensional water level spectrum, high-order periodic wave and directional chopping spectrum are obtained. 2. The Gps sea surface wave observation method described in claim 1 of the patent scope, wherein the GPS sea surface wave observation method further comprises: a wave body material such as an underspeed spectrum, a one-dimensional water level spectrum, an indicative wave height, an average period, and a direction spectrum. The analysis processing module is encoded into a data string, and the data string is stored in the storage module. q: The GPS sea surface fluctuation observation method described in claim 2, wherein the storage module is a hard disk drive, or a card reader with a flash memory card and (4) a memory card as a recording medium. . 4. The GPS sea surface fluctuation observation method described in claim 2, wherein the S sea surface fluctuation observation method further comprises: • the analysis processing outputs the data string to the transmission module, and the transmission unit ... The line-passing mode transmits the data string to the remote base station. The Gp s sea surface fluctuation observation method described in claim 4, wherein the 200928303 ’ transmission module is a radio, a GSM data machine, a GPRS data machine or a satellite transmission device. 〇 17