Dynamic Characteristic Compensation Method for Marine Conductivity Sensors

Through calculation and model construction, the error of marine conductivity sensors in dynamic marine environments is evaluated and compensated, which solves the problem of insufficient measurement accuracy of sensors in complex marine environments, and achieves higher measurement accuracy and stability.

CN118821494BActive Publication Date: 2025-03-18QILU UNIVERSITY OF TECHNOLOGY (SHANDONG ACADEMY OF SCIENCES)
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Patent Information

Application Number
CN202411295356.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-18
Publication Date
2025-03-18
Estimated Expiration
2044-09-18

AI Technical Summary

Technical Problem

The marine conductivity sensor has insufficient measurement accuracy in dynamic marine environments, especially under rapidly changing marine parameters and different wave conditions, which leads to large fluctuations in measurement errors, limiting its application effect in complex marine environments.

Method used

By calculating the error correlation coefficients of wave height, wave period, wave direction and the average error of the induced current signal, the wave height error model, wave period error model and wave direction error model are built, the wave error compensation of the ocean conductivity sensor is calculated, and the compensation strategy is adjusted based on the wave data collected in real time to improve the sensor's response ability and measurement accuracy.

Benefits of technology

Through the dynamic characteristic compensation method, the impact of waves on sensor performance can be more comprehensively evaluated, a more comprehensive compensation strategy can be formulated, and the measurement accuracy and stability of the sensor in complex marine environments can be improved.

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Abstract

The invention discloses a method for compensating the dynamic characteristics of an ocean conductivity sensor, and relates to the technical field of dynamic characteristics compensation of sensors, including using a wave maker to simulate waves, outputting simulated induced current signals of an inductive conductivity sensor under different simulated waves, and calculating average errors and error correlation coefficients of the induced current signals of the ocean conductivity sensor under different simulated waves; placing the inductive conductivity sensor in an actual ocean environment for operation, calculating the fluctuation coefficient of actual ocean waves, and issuing an early warning of changing a dynamic characteristics compensation strategy; building a wave height error model, a wave period error model, and a wave direction error model, calculating wave error compensation of the ocean conductivity sensor, and further calculating the actual induced current signal 。 The compensation strategy is adjusted according to the wave data collected in real time, so that the sensor can better adapt to the complex and changeable marine environment.
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Description

Technical Field

[0001] The invention relates to the technical field of sensor dynamic characteristic compensation, and in particular to a method for compensating the dynamic characteristic of an ocean conductivity sensor. Background Art

[0002] With the deepening of marine science research and the continuous development of marine engineering technology, accurate monitoring of marine environmental parameters has become increasingly important. As an important parameter reflecting key characteristics such as seawater salinity and temperature, the accurate measurement of marine conductivity is of great significance to the fields of marine resource exploration, environmental protection, shipping safety, and marine climate research. However, in practical applications, the measurement accuracy of marine conductivity sensors is often affected by many factors. Traditional marine conductivity sensors often focus on measurement accuracy under static or quasi-static conditions during design, but their dynamic characteristics often show certain limitations when facing dynamically changing marine environments. This limitation is mainly reflected in the lack of sensor response to rapidly changing ocean parameters and the large fluctuation of measurement errors under different wave conditions. These problems seriously restrict the application effect of marine conductivity sensors in complex marine environments.

[0003] In a Chinese invention application with application publication number CN117408102A, a method for analyzing the characteristics of wave noise in conductive stratified seawater is disclosed, including: S1. Establishing a wave-induced electromagnetic field calculation model based on finite-depth conductive stratified seawater; S2. Solving the wave-induced electromagnetic field through Maxwell differential equations and seawater wave equation conditions; S3. Analyzing the noise generated by the wave movement cutting the geomagnetic field based on the solved wave-induced electromagnetic field, and deriving the spatial distribution of unit amplitude wave magnetic noise and electric noise; S4. Analyzing the wave electromagnetic noise power spectrum under different sea conditions in combination with the wave spectrum.

[0004] In the above invention application, considering the uneven conductivity of seawater, a wave-induced electromagnetic field calculation model of a four-layer medium is established to analyze the electromagnetic noise of the waves. However, the four-layer medium model is more complex than the single-layer or double-layer model, and more parameters are required to describe the conductivity, magnetic permeability, thickness of each layer of medium and the interface characteristics between them. It is very difficult to accurately obtain and set these parameters, and they may vary due to the temporal and spatial changes of the marine environment. The complex model structure increases the difficulty and amount of calculation, requiring more powerful computing resources and longer calculation time. In addition, the marine environment is complex and changeable. As one of the most important dynamic factors, waves have characteristics such as wave height, wave period and wave direction that are constantly changing. These changes not only directly affect the flow state and mixing process of seawater, but also interfere with the marine conductivity sensor through mechanical force, resulting in fluctuations and errors in the measurement data.

[0005] To this end, the present invention provides a method for compensating dynamic characteristics of an ocean conductivity sensor. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the shortcomings of the prior art, the present invention provides a method for compensating the dynamic characteristics of an ocean conductivity sensor. , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and , build wave height error model, wave period error model and wave direction error model, and convert the actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw, Calculating Wave Error Compensation for Ocean Conductivity Sensors Bc , and further calculate the actual induced current signal Yd ,Considering the three parameters of wave height, wave period and wave direction at the same time, the impact of waves on the sensor performance can be evaluated more comprehensively, so as to develop a more comprehensive compensation strategy.,At the same time, the compensation strategy can be adjusted according to the wave data collected in real time, so that the sensor can better adapt to the complex and changeable,ocean environment, thus solving the technical problems recorded in the background,technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for compensating dynamic characteristics of an ocean conductivity sensor, comprising the following steps:

[0010] Use a wave machine to simulate waves and output simulated induced current signals of the inductive conductivity sensor under different simulated waves , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves , and calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and ;

[0011] Place the inductive conductivity sensor in the actual ocean environment to calculate the wave coefficient of the actual ocean waves , and issue an early warning of dynamic characteristic compensation strategy replacement;

[0012] Build wave height error model, wave period error model and wave direction error model, and convert the actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw, Calculating Wave Error Compensation for Ocean Conductivity Sensors Bc , and further calculate the actual induced current signal Yd.

[0013] Furthermore, the inductive conductivity sensor is placed in water with constant temperature and salinity to operate, and the reference inductive current signal of the inductive conductivity sensor in the absence of waves is output. Sc , and use the wave machine to simulate waves, and the buoy wave meter to measure the wave height and wave period of different simulated waves and wave direction , output the simulated induced current signal of the inductive conductivity sensor under different simulated waves .

[0014] Further, obtain the reference induction current signal Sc and simulated induced current signal , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves :

[0015]

[0016] in, i Indicates the number of each simulated wave, i=1、2、…b , j Indicates the sequence number of the periodically detected induced current signals under the same simulated wave, j=1、2、…a , the periodic detection period of all waves is T.

[0017] Furthermore, the wave heights of different simulated waves are obtained. , wave period , wave direction The average error of the induced current signal of the ocean conductivity sensor under different simulated waves , respectively calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and :

[0018]

[0019] in, Wave height The steady average error of the induced current signal The error correlation coefficient, The wave period The average error of the induced current signal The error correlation coefficient, Wave direction The average error of the induced current signal The error correlation coefficient, is the wave height of all simulated waves The mean of is the wave period of all simulated waves The mean of is the wave direction of all simulated waves The mean of is the average error of all The mean of .

[0020] Furthermore, the inductive conductivity sensor is placed in the actual ocean environment and operated, and the wave height of the actual ocean waves is periodically measured using a buoy wave meter. , wave period and wave direction , calculate the wave coefficient of actual ocean waves :

[0021]

[0022]

[0023] in, x Indicates the detection time number of the actual ocean wave data, x=1、2、…c .

[0024] Furthermore, the wave coefficient of the actual ocean waves is obtained , if the actual ocean wave wave coefficient If the fluctuation threshold is exceeded, an alert for changing the dynamic characteristic compensation strategy will be issued, and the dynamic compensation strategy input will be changed to the latest collected actual ocean wave data. If the fluctuation threshold is not exceeded, the current dynamic compensation strategy is maintained. The fluctuation threshold is the fluctuation coefficient of all actual ocean waves. The mean of .

[0025] Furthermore, the actual ocean wave height collected is As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw .

[0026] Further, the wave height error is obtained Gw, Wave period error Zw、 Wave direction error Xw、 Error correlation coefficient , and , calculate wave error compensation for ocean conductivity sensors Bc :

[0027]

[0028] Corresponding wave error compensation of ocean conductivity sensor Bc The calculation formula is as above.

[0029] Furthermore, the inductive conductivity sensor is placed in the seawater to detect and obtain the seawater induced current signal. Hg , combined with wave error compensation Bc , calculate and obtain the actual induced current signal of the inductive conductivity sensor Yd :

[0030]

[0031] The actual induced current signal Yd Output.

[0032] (III) Beneficial effects

[0033] The present invention provides a method for compensating the dynamic characteristics of an ocean conductivity sensor, which has the following beneficial effects:

[0034] 1. Use a wave machine to simulate waves and output simulated induced current signals of the inductive conductivity sensor under different simulated waves. , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves , and calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and , can provide a deeper understanding of the impact of different wave characteristics on the performance of ocean conductivity sensors, help optimize the design and use conditions of sensors, and improve their accuracy and reliability in complex marine environments.

[0035] 2. Place the inductive conductivity sensor in the actual ocean environment to calculate the fluctuation coefficient of the actual ocean waves , and issue a warning to the outside to change the dynamic characteristic compensation strategy. By implementing the dynamic characteristic compensation strategy, the output of the sensor can be corrected and compensated according to the real-time monitoring data, thereby improving the measurement accuracy and stability of the sensor.

[0036] 3. Build wave height error model, wave period error model and wave direction error model, and convert the actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw, Calculating Wave Error Compensation for Ocean Conductivity Sensors Bc , and further calculate the actual induced current signal Yd ,Considering the three parameters of wave height, wave period and wave direction at the same time, the impact of waves on the sensor performance can be evaluated more comprehensively, so as to formulate a more comprehensive compensation strategy. At the same time, the compensation strategy can be adjusted according to the wave data collected in real time, so that the sensor can better adapt to the complex and changeable ocean environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic flow chart of the method for compensating the dynamic characteristics of the marine conductivity sensor of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 The present invention provides a method for compensating the dynamic characteristics of an ocean conductivity sensor, comprising the following steps:

[0040] Step 1: Use a wave maker to simulate waves and output simulated induced current signals of the inductive conductivity sensor under different simulated waves , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves , and calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and .

[0041] The step 1 includes the following contents:

[0042] Step 101: Place the inductive conductivity sensor in water with constant temperature and salinity, and output a reference inductive current signal of the inductive conductivity sensor in the absence of waves. Sc , and use the wave machine to simulate waves, and the buoy wave meter to measure the wave height of different simulated waves , wave period and wave direction , output the simulated induced current signal of the inductive conductivity sensor under different simulated waves .

[0043] The inductive conductivity sensor uses the principle of electromagnetic induction to measure the conductivity of seawater. Its structure is similar to a pair of transformer coils, and the seawater to be measured serves as the transformer core. When the excitation voltage is applied to the sensor, an induced current is generated in the seawater. The circuit inside the sensor converts and amplifies this weak induced current signal and sends it to the data processing unit for further processing. Finally, the conductivity value of the seawater is obtained and displayed on a display screen or other means.

[0044] Step 102: Obtain reference induction current signal Sc and simulated induced current signal , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves :

[0045]

[0046] in, i Indicates the number of each simulated wave, i=1、2、…b , j Indicates the sequence number of the periodically detected induced current signals under the same simulated wave, j=1、2、…a , the periodic detection period of all waves is T.

[0047] Step 103: Obtaining wave heights of different simulated waves , wave period , wave direction The average error of the induced current signal of the ocean conductivity sensor under different simulated waves , respectively calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and :

[0048]

[0049] in, Wave height The steady average error of the induced current signal The error correlation coefficient, The wave period The average error of the induced current signal The error correlation coefficient, Wave direction The average error of the induced current signal The error correlation coefficient, is the wave height of all simulated waves The mean of is the wave period of all simulated waves The mean of is the wave direction of all simulated waves The mean of is the average error of all The mean of .

[0050] When using, combine the contents in steps 101 to 103:

[0051] Use a wave machine to simulate waves and output simulated induced current signals of the inductive conductivity sensor under different simulated waves , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves , and calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and , can provide a deeper understanding of the impact of different wave characteristics on the performance of ocean conductivity sensors, help optimize the design and use conditions of sensors, and improve their accuracy and reliability in complex marine environments.

[0052] Step 2: Place the inductive conductivity sensor in the actual ocean environment and calculate the wave coefficient of the actual ocean waves. , and issue an early warning of changing the dynamic characteristic compensation strategy.

[0053] The step 2 includes the following contents:

[0054] Step 201: Place the inductive conductivity sensor in an actual ocean environment and use a buoy wave meter to periodically measure the wave height of actual ocean waves. , wave period and wave direction , calculate the wave coefficient of actual ocean waves :

[0055]

[0056]

[0057] in, x Indicates the detection time number of the actual ocean wave data, x=1、2、…c .

[0058] Step 202: Obtain the actual ocean wave wave coefficient , if the actual ocean wave wave coefficient If the fluctuation threshold is exceeded, an alert for changing the dynamic characteristic compensation strategy will be issued, and the dynamic compensation strategy input will be changed to the latest collected actual ocean wave data. If the fluctuation threshold is not exceeded, the current dynamic compensation strategy is maintained. The fluctuation threshold is the fluctuation coefficient of all actual ocean waves. The mean of .

[0059] When using, combine the contents in steps 201 and 202:

[0060] Place the inductive conductivity sensor in the actual ocean environment to calculate the wave coefficient of the actual ocean waves , and issue a warning to the outside to change the dynamic characteristic compensation strategy. By implementing the dynamic characteristic compensation strategy, the output of the sensor can be corrected and compensated according to the real-time monitoring data, thereby improving the measurement accuracy and stability of the sensor.

[0061] Step 3: Build wave height error model, wave period error model and wave direction error model, and use the actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw, Calculating Wave Error Compensation for Ocean Conductivity Sensors Bc , and further calculate the actual induced current signal Yd.

[0062] The step three includes the following contents:

[0063] Step 301: Use the buoy wave meter to measure the wave heights of different simulated waves. , wave period and wave direction As independent variables, the average error of the induced current signal of the ocean conductivity sensor under different simulated waves As the dependent variable, the linear regression model is imported to build the wave height error model, wave period error model and wave direction error model.

[0064] Step 302: The actual ocean wave height collected is As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw .

[0065] Step 303: Obtain wave height error Gw, Wave period error Zw、 Wave direction error Xw、 Error correlation coefficient , and , calculate wave error compensation for ocean conductivity sensors Bc :

[0066]

[0067] Corresponding wave error compensation of ocean conductivity sensor Bc The calculation formula is as above.

[0068] Step 304: Place the inductive conductivity sensor in seawater to detect and obtain the seawater induced current signal Hg , combined with wave error compensation Bc , calculate and obtain the actual induced current signal of the inductive conductivity sensor Yd :

[0069]

[0070] The actual induced current signal YdThe output is used to calculate the conductivity value of the seawater and display it on a display or other means.

[0071] When used, combine the contents in steps 301 to 304:

[0072] Build wave height error model, wave period error model and wave direction error model, and convert the actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained Gw , wave period As the input of the wave period error model, the wave period error is obtained Zw , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw, Calculating Wave Error Compensation for Ocean Conductivity Sensors Bc , and further calculate the actual induced current signal Yd ,Considering the three parameters of wave height, wave period and wave direction at the same time, the impact of waves on the sensor performance can be evaluated more comprehensively, so as to formulate a more comprehensive compensation strategy. At the same time, the compensation strategy can be adjusted according to the wave data collected in real time, so that the sensor can better adapt to the complex and changeable ocean environment.

[0073] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0074] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for compensating dynamic characteristics of an ocean conductivity sensor, characterized in that: The steps include: Use a wave machine to simulate waves and output simulated induced current signals of the inductive conductivity sensor under different simulated waves , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves , and calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and ; Place the inductive conductivity sensor in the actual ocean environment to calculate the wave coefficient of the actual ocean waves , and issue an early warning of dynamic characteristic compensation strategy replacement; Build wave height error model, wave period error model and wave direction error model, and convert the actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained G , wave period As the input of the wave period error model, the wave period error is obtained Z , wave direction As the input of the wave direction error model, the wave direction error is obtained Xw, Calculating Wave Error Compensation for Ocean Conductivity Sensors Bc , and further calculate the actual induced current signal Y .

2. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 1, characterized in that: Place the inductive conductivity sensor in water with constant temperature and salinity to operate, and output the reference inductive current signal of the inductive conductivity sensor in the absence of waves. Sc , and use the wave machine to simulate waves, and the buoy wave meter to measure the wave height of different simulated waves , wave period and wave direction , output the simulated induced current signal of the inductive conductivity sensor under different simulated waves .

3. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 2, characterized in that: Get the reference induction current signal Sc and simulated induced current signal , calculate the average error of the induced current signal of the ocean conductivity sensor under different simulated waves : in, i Indicates the number of each simulated wave, i=1, 2, …b , j Indicates the sequence number of the periodically detected induced current signals under the same simulated wave, j=1, 2, …a , the periodic detection period of all waves is T.

4. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 3, characterized in that: Get the wave height of different simulated waves , wave period , wave direction The average error of the induced current signal of the ocean conductivity sensor under different simulated waves , respectively calculate the wave height , wave period , wave direction The average error of the induced current signal The error correlation coefficient , and : in, Wave height The steady average error of the induced current signal The error correlation coefficient, The wave period The average error of the induced current signal The error correlation coefficient, Wave direction The average error of the induced current signal The error correlation coefficient, is the wave height of all simulated waves The mean of is the wave period of all simulated waves The mean of is the wave direction of all simulated waves The mean of is the average error of all The mean of .

5. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 4, characterized in that: The inductive conductivity sensor is placed in the actual ocean environment and operated, and the wave height of the actual ocean waves is periodically measured using a buoy wave meter. , wave period and wave direction , calculate the wave coefficient of actual ocean waves : in, x Indicates the detection time number of the actual ocean wave data, x=1, 2, …c .

6. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 5, characterized in that: Get the wave coefficient of actual ocean waves , if the actual ocean wave wave coefficient If the fluctuation threshold is exceeded, an alert for changing the dynamic characteristic compensation strategy will be issued, and the dynamic compensation strategy input will be changed to the latest collected actual ocean wave data. If the fluctuation threshold is not exceeded, the current dynamic compensation strategy is maintained; the fluctuation threshold is the fluctuation coefficient of all actual ocean waves The mean of .

7. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 6, characterized in that: The actual ocean wave height collected As the input of the wave height error model, the wave height error is obtained G , wave period As the input of the wave period error model, the wave period error is obtained Z , wave direction As the input of the wave direction error model, the wave direction error is obtained XW .

8. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 7, characterized in that: Get wave height error Gw Wave period error Zw, Wave direction error Xw, Error correlation coefficient , and , calculate wave error compensation for ocean conductivity sensors Bc : Corresponding wave error compensation of ocean conductivity sensor Bc The calculation formula is as above.

9. The method for compensating dynamic characteristics of an ocean conductivity sensor according to claim 8, characterized in that: Place the inductive conductivity sensor in seawater to detect and obtain the seawater induced current signal Hg , combined with wave error compensation Bc , calculate and obtain the actual induced current signal of the inductive conductivity sensor Y : The actual induced current signal Y Output.

Citation Information

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