A method and apparatus for all-time water body circular polarization hyperspectral measurement

Abstract

The application provides an all-day water body circular polarization hyperspectral measurement method and device. The method provided by the application comprises the following steps: emitting circular polarization white light and linear polarization white light to a first spectrometer and a second spectrometer respectively, constructing a first equation based on received circular polarization white light information, and constructing a second equation based on received linear polarization white light information; solving a first correction coefficient and a second correction coefficient by simultaneously solving the first equation and the second equation; emitting a circular polarization white light source above a horizontal plane of a water area to be measured, receiving scattering light information of substances in the water area to be measured, and correcting the received scattering light information based on the first correction coefficient and the second correction coefficient; and determining a target substance attribute corresponding to a measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and a circular polarization spectrum curve standard library search. The all-day water body circular polarization hyperspectral measurement method and device provided by the application are used to realize all-day circular polarization hyperspectral accurate detection of water bodies.

Description

Technical Field

[0001] The present application relates to the technical field of water body detection and identification, and in particular to a method and device for all-day circular polarization hyperspectral measurement of water bodies. Background Art

[0002] Changes in the composition and content of substances in water bodies directly reflect the health of ecosystems and are closely related to human production and life. 24 / 7 monitoring of marine and reservoir waters is crucial for early warning of algal blooms and monitoring the health of water ecosystems. Optical detection methods, due to their non-invasive and rapid response, have been widely used and researched in water monitoring.

[0003] Among the many optical water detection technologies, methods based on spectral analysis are relatively common. Existing technologies typically infer the composition and content of substances in water by analyzing the absorption and scattering properties of light of different wavelengths. Some advanced technologies have taken into account the polarization properties of light, attempting to use linearly polarized light to reduce interference from light reflected from the water surface and improve measurement accuracy. Some studies have used linearly polarized light of a specific wavelength to measure the changes in the polarization state of light scattered from the water, thereby analyzing the concentration and size distribution of particulate matter in the water.

[0004] However, these existing technologies still have significant limitations. On the one hand, spectral analysis technology is susceptible to interference from natural light, especially during the day, when the complex background light generated by solar radiation can seriously affect the accuracy of measurement results. Even with the use of linearly polarized light technology, it is difficult to completely eliminate the interference of different polarization components in natural light, resulting in deviations in the analysis of water substances. On the other hand, existing polarized light detection technology only focuses on linearly polarized light, while ignoring the spectral information carried by circularly polarized light. The interaction between circularly polarized light and substances in water has unique scattering and absorption characteristics, but existing technologies fail to fully utilize this characteristic, resulting in limited detection capabilities for certain special substances in water (such as algae with specific microstructures, microplastics, etc.), and unable to achieve comprehensive and accurate identification of water substances. Summary of the Invention

[0005] In view of this, the present application provides a method and device for measuring circular polarization hyperspectral of water bodies throughout the day, so as to realize accurate detection of circular polarization hyperspectral of water bodies throughout the day.

[0006] Specifically, this application is implemented through the following technical solutions:

[0007] The first aspect of the present application provides a method for all-day water body circular polarization hyperspectral measurement, the method comprising:

[0008] emitting circularly polarized white light and linearly polarized white light to the first spectrometer and the second spectrometer, respectively, constructing a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and constructing a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer;

[0009] Solve the first and second equations simultaneously to obtain a first correction coefficient corresponding to the first spectrometer and a second correction coefficient corresponding to the second spectrometer;

[0010] Emitting a circularly polarized white light source above the horizontal plane of the water area to be measured, receiving scattered light information of substances in the water area to be measured based on the first spectrometer and the second spectrometer, and correcting the received scattered light information based on the first correction coefficient and the second correction coefficient respectively;

[0011] Calculate the measured circular polarization spectrum curve based on the corrected scattered light information;

[0012] Construct a standard library of circular polarization spectral curves of multiple substances;

[0013] Based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library search, the target substance properties corresponding to the measured circular polarization spectrum curve are determined to complete the identification of the substances in the water area to be tested.

[0014] The second aspect of the present application provides a full-time water body circular polarization hyperspectral measurement device, the device includes a correction module, a construction module and an identification module; wherein,

[0015] The correction module is configured to transmit circularly polarized white light and linearly polarized white light to the first spectrometer and the second spectrometer, respectively, construct a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and construct a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer;

[0016] The correction module is further used to solve the first correction coefficient corresponding to the first spectrometer and the second correction coefficient corresponding to the second spectrometer by simultaneously solving the first equation and the second equation;

[0017] The correction module is further configured to emit a circularly polarized white light source above the horizontal plane of the water area to be measured, receive scattered light information of substances in the water area to be measured based on the first spectrometer and the second spectrometer, and correct the received scattered light information based on the first correction coefficient and the second correction coefficient respectively;

[0018] The construction module is used to calculate the measured circular polarization spectrum curve based on the corrected scattered light information;

[0019] The construction module is also used to construct a standard library of circular polarization spectrum curves of multiple substances;

[0020] The identification module is used to determine the target substance properties corresponding to the measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library search, and complete the identification of the substances in the water area to be tested.

[0021] The all-day water body circular polarization hyperspectral measurement method and device provided by the present application can independently calibrate two spectrometers in an actual water environment. On the basis that each spectrometer can accurately measure in the actual water environment, the difference detection method of the two spectrometers is used to eliminate the interference of polarization state detection in the actual water environment, and accurately obtain the effective information of the circular polarization state in the actual water environment. Without the need for complex reflection, scattering, and refraction mechanism analysis and denoising, the substances in the water area to be measured are inverted and identified based on the similarity of the circular polarization spectrum curve. Without the need for complex calculations on the spectral data, the substance identification is converted into the similarity calculation of the curve geometry, thereby achieving accurate and efficient identification of the substances in the water area to be measured, while improving the efficiency of identification, and providing strong technical support for water environment monitoring and analysis in real-time scenarios. First, circularly polarized white light and linearly polarized white light are emitted to a first spectrometer and a second spectrometer, respectively, to obtain corresponding circularly polarized white light information and linearly polarized white light information. A first equation and a second equation, each including a first correction coefficient and a second correction coefficient, are constructed based on the circularly polarized white light information and the linearly polarized white light information, respectively. The first correction coefficient corresponding to the first spectrometer and the second correction coefficient corresponding to the second spectrometer are solved simultaneously by the first and second equations. This fully accounts for possible errors that may occur in the spectrometers under complex measurement environments and ensures that the spectrometers can accurately capture scattered light information. Secondly, a circularly polarized white light source is emitted above the water area to be measured, and the scattered light information of the substances in the water area to be measured is corrected based on the first and second correction coefficients. This ensures that the obtained scattered light information can truly and accurately reflect the properties of the substances in the water area to be measured. A high-precision measured circular polarization spectral curve is then calculated, and a comprehensive and systematic circular polarization spectral curve standard library is further constructed, providing a rich and reliable reference sample for substance identification. Finally, by comparing and searching the measured circular polarization spectral curve with the standard library, the target substance properties corresponding to the measured curve can be accurately determined, and the substances in the water area to be measured can be accurately identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Flowchart of Example 1 of the all-day water body circular polarization hyperspectral measurement method provided by this application;

[0023] Figure 2 This is a schematic diagram of an all-day circular polarization detection device according to an exemplary embodiment of the present application;

[0024] Figure 3 This is a structural diagram of Example 1 of the all-day water body circular polarization hyperspectral measurement device provided in this application. DETAILED DESCRIPTION

[0025] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different drawings represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this application.

[0026] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a," "the," and "the" used in this application are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0027] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0028] Specific embodiments are given below to introduce the technical solutions of the present application in detail.

[0029] Figure 1 This is a flow chart of the first embodiment of the all-day water body circular polarization hyperspectral measurement method provided by this application. Figure 1 The method provided in this embodiment may include:

[0030] S101. emitting circularly polarized white light and linearly polarized white light to a first spectrometer and a second spectrometer, respectively; constructing a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer; and constructing a second equation including a first correction coefficient and a second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer.

[0031] Specifically, circularly polarized white light and linearly polarized white light are emitted to the first spectrometer and the second spectrometer, respectively. A first equation including a first correction coefficient and a second correction coefficient is established through the circularly polarized light information received by the two spectrometers. A second equation including the first correction coefficient and the second correction coefficient is established through the linearly polarized light information received by the two spectrometers, thereby further constraining the accuracy of the correction coefficient from different polarization dimensions.

[0032] S102 , solving the first correction coefficient corresponding to the first spectrometer and the second correction coefficient corresponding to the second spectrometer by simultaneously solving the first equation and the second equation.

[0033] Specifically, the first equation can be expressed by the following formula:

[0034] ;

[0035] in, is the first correction coefficient corresponding to the first spectrometer;

[0036] is the circularly polarized white light information received by the first spectrometer;

[0037] is the second correction coefficient corresponding to the second spectrometer;

[0038] is the circularly polarized white light information received by the second spectrometer.

[0039] The second equation can be expressed as follows:

[0040] ;

[0041] in, is the first correction coefficient corresponding to the first spectrometer;

[0042] is the linearly polarized white light information received by the first spectrometer;

[0043] is the second correction coefficient corresponding to the second spectrometer;

[0044] is the linearly polarized white light information received by the second spectrometer.

[0045] By substituting the circularly polarized white light information and the linearly polarized white light information received by the first spectrometer and the second spectrometer into the first equation and the second equation, and combining the first equation and the second equation through algebraic operations, the first correction coefficient and the second correction coefficient corresponding to the first spectrometer and the second spectrometer can be solved.

[0046] S103, emitting a circularly polarized white light source above the horizontal plane of the water area to be measured, receiving scattered light information of substances in the water area to be measured based on the first spectrometer and the second spectrometer, and correcting the received scattered light information based on the first correction coefficient and the second correction coefficient.

[0047] Specifically, circularly polarized white light refers to white light whose electric field vector performs circular motion in a plane perpendicular to the propagation direction. When the circularly polarized white light enters the water area to be tested, it will interact with the substances in the water area to be tested, resulting in scattering, absorption, and refraction. The first spectrometer and the second spectrometer respectively receive this scattered light information. The scattered light information contains multiple information such as the wavelength, intensity, and polarization state of the circularly polarized white light, reflecting the scattering characteristics of the substances in the water area to be tested for the circularly polarized white light. The spectral range in the water area to be tested is 400-700nm.

[0048] In real-world environments, sunlight is a mixture of multiple polarization states, including linearly polarized components. When transmitting circularly polarized white light to the water area under test for measurement, the received scattered light inevitably incorporates the various polarization states of natural light and is not a pure circularly polarized signal. This necessitates noise removal to obtain more accurate circularly polarized light scattering information.

[0049] Furthermore, before emitting a circularly polarized white light source above the horizontal surface of the water area to be measured, the method further includes:

[0050] (1) Divide the light intensity into multiple intervals based on the light intensity change trend of the detection environment sunlight conditions;

[0051] Specifically, in actual detection, environmental sunlight conditions (such as day and night alternation, cloud cover) will cause significant changes in light intensity, which in turn affects the measurement accuracy of the spectrometer. The light intensity sensor is used to monitor the sunlight intensity of the detection environment in real time, record the sunlight intensity change data within 24 hours, form a light intensity-time curve, and determine the light intensity change trend based on the curve.

[0052] Furthermore, the light intensity range of the detected ambient sunlight conditions is divided into multiple light intensity intervals according to the light intensity change trend. For example, in one embodiment, the light intensity range is divided into weak light interval, medium light interval and strong light interval by performing cluster analysis on the light intensity change trend.

[0053] (2) Traverse each light intensity interval and select the representative light intensity value of the currently calculated light intensity interval;

[0054] Specifically, for each light intensity interval, a representative light intensity value is selected therefrom. The representative light intensity value of each light intensity interval can be obtained by taking the median or average value of the light intensity in the light intensity interval.

[0055] (3) emitting circularly polarized white light and linearly polarized white light having light intensities representing light intensity values ​​to the first spectrometer and the second spectrometer, respectively, constructing a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and constructing a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer;

[0056] Specifically, referring to the description above, compare the light intensity range to which the current ambient light intensity belongs, select the representative light intensity value of the light intensity range as the light intensity of circularly polarized white light and linearly polarized white light, and input the circularly polarized white light and linearly polarized white light with the light intensity as the representative light intensity value into the first spectrometer and the second spectrometer, so that the first spectrometer receives the corresponding circularly polarized white light information and linearly polarized white light information, and the second spectrometer receives the corresponding circularly polarized white light information and linearly polarized white light information. Based on this, the first equation and the second equation are constructed.

[0057] (4) Solve the first and second equations simultaneously to obtain the first correction coefficient corresponding to the first spectrometer and the second correction coefficient corresponding to the second spectrometer within the currently calculated light intensity range, and store each pair of the first correction coefficient and the second correction coefficient in correspondence with the corresponding light intensity range.

[0058] Specifically, in combination with the above description, the first equation and the second equation are solved to obtain the first correction coefficient and the second correction coefficient corresponding to the first spectrometer and the second spectrometer in the currently calculated light intensity range, and then return to step (3), and transmit circularly polarized white light and linearly polarized white light representing the light intensity values ​​of other light intensity ranges to the first spectrometer and the second spectrometer respectively, to obtain the first correction coefficient and the second correction coefficient corresponding to the first spectrometer and the second spectrometer in other light intensity ranges, and store the light intensity ranges in correspondence with the first correction coefficient and the second correction coefficient, so that in the subsequent detection process, by determining the light intensity range of the environment in which the water area to be measured is located, the corresponding first correction coefficient and the second correction coefficient stored are searched, so as to facilitate the corresponding correction of the scattered light information detected by the first spectrometer and the second spectrometer. Compared with the traditional method of only obtaining a set of correction coefficients under a fixed light intensity, the light intensity is divided into intervals according to the light intensity change trend, and then the corresponding correction coefficient is determined according to the light intensity value of each interval, which effectively eliminates the influence of light intensity change on the response of the spectrometer, significantly improves the measurement accuracy and equipment adaptability in complex lighting environments, and reduces the detection error caused by light intensity fluctuations in field monitoring.

[0059] Specifically, the method provided in this embodiment uses an all-day circular polarization detection device to emit a circularly polarized white light source; the all-day circular polarization detection device includes: a white light source, a wide-spectrum polarizer, a first wide-spectrum quarter-wave plate, a receiving lens, a second wide-spectrum quarter-wave plate, a polarization beam splitter prism, a first focusing lens, a second focusing lens, a first spectrometer, and a second spectrometer;

[0060] A white light source emits an illumination light source toward the water area, which is modulated into a polarized illumination light source by a wide spectrum polarizer, and the polarized illumination light source is modulated into a circularly polarized white light source by a first wide spectrum quarter wave plate;

[0061] The receiving lens receives the scattered light, modulates it into linearly polarized white light through the second wide spectrum quarter-wave plate, and the polarization splitting prism splits the linearly polarized white light into orthogonal first linearly polarized white light and second linearly polarized white light;

[0062] The first linearly polarized white light passes through the first focusing lens to generate left-handed circularly polarized white light; the second linearly polarized white light passes through the second focusing lens to generate right-handed circularly polarized white light; the first spectrometer receives the left-handed circularly polarized white light, and the second spectrometer receives the right-handed circularly polarized white light, and the scattered light information is determined based on the light intensity difference between the left-handed circularly polarized white light and the right-handed circularly polarized white light.

[0063] Specifically, Figure 2 This is a schematic diagram of an all-day circular polarization detection device shown in an exemplary embodiment of the present application. Please refer to Figure 2 , Figure 2 The arrows shown in the figure indicate the direction of light propagation. First, after the white light source generates an illumination light source, the light path of the illumination light source passes through a wide spectrum polarizer, which modulates the illumination light source into a polarized illumination light source. Subsequently, the light path of the polarized illumination light source passes through the first wide spectrum quarter wave plate and becomes a circularly polarized white light source. Further, the circularly polarized white light source is incident on the water to be tested along the light path. After being scattered by the water to be tested, the scattered light is received by the receiving lens. Subsequently, the light path of the scattered light passes through the second wide spectrum quarter wave plate and becomes linearly polarized white light. The optical path of the first linear polarized white light is divided into two orthogonal beams of a first linear polarized white light and a second linear polarized white light after passing through a polarization beam splitter prism. The optical path of the first linear polarized white light is focused by a first focusing lens to become left-handed polarized white light and is received by a first spectrometer, thereby realizing the detection of the left-handed circularly polarized light intensity of the reflected light; the optical path of the second linear polarized white light is focused by a second focusing lens to become right-handed polarized white light and is received by a second spectrometer, thereby realizing the detection of the right-handed circularly polarized light intensity of the reflected light. The scattered light information corresponding to the water area to be measured is determined by the light intensity difference between the left-handed circularly polarized white light and the right-handed circularly polarized white light.

[0064] Furthermore, after receiving scattered light information from the measured water area, the first spectrometer uses its corresponding first correction coefficient to correct the received scattered light information, while the second spectrometer uses its corresponding second correction coefficient to correct the scattered light information. Due to the differences in the measurement optical paths and optical components of the two spectrometers, their respective correction coefficients can specifically eliminate or reduce errors generated during their own measurement processes, thereby more accurately obtaining scattered light information from the measured water area and providing a reliable data foundation for the subsequent calculation of the measured circular polarization spectrum curve.

[0065] S104, calculate the measured circular polarization spectrum curve based on the corrected scattering light information.

[0066] Specifically, the spectrum curve is a curve drawn with the wavelength of circularly polarized light as the horizontal coordinate and the light intensity of circularly polarized light as the vertical coordinate. The implementation steps of calculating the measured circular polarization spectrum curve based on the corrected third scattering light information include:

[0067] (1) According to the measurement wavelength range of the first spectrometer and the second spectrometer, calculate the circular polarization component at multiple wavelengths to obtain multiple data points, wherein the circular polarization component is the intensity difference value of left circularly polarized white light and right circularly polarized white light in the corrected scattering light information.

[0068] Specifically, first, the measurement wavelength range of the first spectrometer and the second spectrometer needs to be determined. Within this measurement wavelength range, the circular polarization component is calculated for multiple different wavelengths. For each wavelength, the circular polarization component is calculated based on the corrected scattering light information. The circular polarization component is the intensity difference value of left circularly polarized white light and right circularly polarized white light in the corrected scattering light information. By calculating the circular polarization component corresponding to each wavelength, a series of data points are obtained, each containing a specific wavelength and its corresponding circular polarization component intensity value. It should be noted that the selection of wavelengths within the measurement wavelength range is based on actual needs, and the wavelengths within the measurement wavelength range can be determined by starting from the minimum wavelength, ending at the maximum wavelength, and increasing by a preset fixed value.

[0069] (2) Determine that the curve horizontal coordinate is the wavelength of the circular polarization component, and the curve vertical coordinate is the light intensity of the circular polarization component. Draw the measured circular polarization spectrum curve according to the multiple data points.

[0070] Specifically, based on the multiple data points obtained in the previous step, these data points are labeled on the coordinate plane. Then, by connecting these data points, the measured circular polarization spectrum curve can be drawn. This curve directly shows the scattering characteristics of the substance in the water to be measured at different wavelengths, providing an important visual basis for subsequent analysis of the substance composition, concentration, and other information in the water to be measured.

[0071] (3) When it is daytime above the water level of the water to be measured, the corrected third scattering light information includes the circular polarization state signal of the scattering light of the circularly polarized white light source, the linear polarization state signal of the natural light, and the random polarization state signal generated by the instrument noise.

[0072] (4) When it is night above the horizontal plane of the water area to be measured, the corrected third scattered light information includes a circular polarization state signal of the scattered light of the circularly polarized white light source in the water area to be measured and a random polarization state signal generated by instrument noise.

[0073] Specifically, when it is daytime above the horizontal surface of the water area to be measured, the scattered light generated by the interaction between the circularly polarized white light source emitted by the device and the substances in the water area to be measured will carry a circular polarization state signal, which contains important clues about the properties of the substances in the water area, such as the type and concentration of the substances, which may affect the characteristics of the circular polarization state signal. In addition, since there is a large amount of natural light during the day, the natural light will generate a linear polarization state signal after reflection and scattering by the water area to be measured and the surrounding environment, and will be received by the device. In addition, since there is a certain amount of noise in the measuring instrument itself, these noises will generate random polarization state signals. Therefore, when it is daytime above the horizontal surface of the water area to be measured, the corrected scattered light information includes circular polarization state signals, linear polarization state signals and random polarization state signals.

[0074] Furthermore, when it is night above the horizontal surface of the water area to be measured, the intensity of natural light in the environment is greatly reduced or even almost non-existent. At this time, the corrected scattered light information mainly includes two parts: circular polarization state signal and random polarization state signal.

[0075] S105. Construct a standard library of circular polarization spectrum curves of multiple substances.

[0076] Specifically, the specific implementation steps of constructing a circular polarization spectrum curve standard library include:

[0077] (1) Identify multiple samples of substances to be tested;

[0078] Specifically, the material properties of multiple test samples are known, and representative substances can be selected based on the application scenario, while ensuring the diversity of the sample materials. For example, in water quality monitoring, typical test materials such as chlorophyll a, suspended solids, and organic pollutants are selected, covering a range of material concentration gradients (such as 0.1-100 mg / L chlorophyll a solution), physical states (solid, liquid, powder), and mixing ratios (multi-substance composite samples), thereby obtaining multiple test material samples.

[0079] (2) establishing a scattering model corresponding to the material properties of each of the material samples to be tested based on the improved Monte Carlo method, wherein the input of the scattering model is the material properties of the material sample to be tested, and the output of the scattering model is the circular polarization spectrum curve corresponding to the material sample to be tested, obtaining a standard circular polarization spectrum curve corresponding to each of the material samples to be tested, and constructing a circular polarization spectrum curve standard library;

[0080] Specifically, the Monte Carlo method is a numerical calculation method that simulates physical processes through random sampling. This process simulates the propagation and scattering of a large number of circularly polarized photons in a sample of the material being tested, taking into account interactions such as light attenuation, material absorption, and scattering. Parameters such as the probability and direction of photon scattering are determined based on the correlation between material properties and historical spectral curves. Through multiple simulations and statistical analysis, a model is established that accurately describes the scattering behavior of circularly polarized photons in the sample of the material being tested.

[0081] Optionally, specific implementation steps for establishing the scattering model include:

[0082] 2.1 Generate a random number of circularly polarized photons, and determine the physical quantities of the circularly polarized photons based on the random number, wherein the physical quantities include an initial position, a propagation direction, and a speed;

[0083] Specifically, the random number of circularly polarized photons refers to a series of values ​​generated by a computer's random number generator. Random number generation generally follows a certain probability distribution, such as uniform or normal distribution. The random number is then used to determine the physical quantities of the circularly polarized photons. The initial position determines the starting point of the photon in the sample of the material being tested, which may be randomly determined at different depths and horizontal positions in the sample. The propagation direction determines the direction in which the photon begins to propagate, typically randomly set in three-dimensional space based on a random number. The speed is determined based on the propagation characteristics of light in the sample of the material being tested and related physical laws. Generally, the speed of light in the sample of the material being tested is slower than its speed in a vacuum. Determining these physical quantities using random numbers simulates the uncertainty of the photon's initial state in the sample of the material being tested.

[0084] 2.2 simulating the propagation characteristics of the circularly polarized photons in the plurality of samples of the substance to be tested by combining the physical quantity and the scattering phase function, and determining the circularly polarized spectrum curve according to the propagation characteristics;

[0085] Specifically, the scattering phase function describes the probability distribution of photons scattering in different directions when interacting with the material sample under test. Based on the scattering phase function and the physical quantities of the photons, the process of photon propagation, scattering, and absorption in the material sample under test is simulated. During this simulation, the circular polarization spectrum curve is determined by statistically analyzing information such as the photon propagation trajectory and interaction with the material. The circular polarization spectrum curve reflects the changes in the characteristics of circularly polarized light at different wavelengths, such as light intensity and polarization degree. It is a comprehensive reflection of the results of photon propagation in the material sample under test.

[0086] 2.3 Calculating the error between the circular polarization spectrum curve and the historical circular polarization spectrum curve under the same material properties, and updating the random number for the next calculation cycle according to the error;

[0087] Specifically, the magnitude of the error can be quantified by comparing the numerical differences between the two curves at various wavelengths. A large error indicates that the current simulation results deviate significantly from the actual situation (represented by the historical circularly polarized spectral curves). Adjusting the random number, thereby altering the physical quantities of the circularly polarized photons, is necessary to achieve results closer to reality in subsequent simulations. The method for updating the random number may depend on the specific algorithm and requirements, such as through mathematical transformations or adjustments based on the magnitude and direction of the error.

[0088] 2.4 Return to the step of determining the physical quantity of circularly polarized photons according to the random number, and re-obtain the circular polarization spectrum curve. Stop when the error is less than the error threshold, and obtain the scattering model.

[0089] Specifically, the updated random number is used to re-determine the initial position, propagation direction, and speed of the circularly polarized photons. The propagation characteristics of the photons in the sample of the material to be tested are then simulated again to obtain a new circularly polarized spectrum curve. The above process of calculating the error, updating the random number, and resimulating is repeated until the calculated error is less than a pre-set error threshold. When the error meets the requirement, the result obtained by the current simulation is considered to be sufficiently accurate, and the simulation is stopped. The model obtained at this time is the scattering model, which can more accurately describe the propagation and scattering behavior of circularly polarized photons in the sample of the material to be tested. It should be noted that the error threshold is set according to actual needs and is not limited in this embodiment.

[0090] Furthermore, the material properties of each material sample to be tested are used as input to the scattering model, so that the scattering model outputs a standard circular polarization spectral curve corresponding to each material sample to be tested. A circular polarization spectral curve standard library is constructed based on these standard circular polarization spectral curves. This standard library contains the circular polarization spectral characteristics of each material sample to be tested and is an important reference for material identification.

[0091] Optionally, the steps of obtaining a standard circular polarization spectrum curve corresponding to each sample of the substance to be tested include:

[0092] 3.1 Input the material properties of each sample to be tested into the scattering model, and the scattering model simulates the propagation trajectory of circularly polarized photons based on the property parameters;

[0093] 3.2 Generate the standard circular polarization spectrum curve according to the propagation trajectory, and mark the corresponding material information, environmental information and curve information in the standard circular polarization spectrum curve.

[0094] Specifically, the substance attribute is a detailed description of the substance, which can include the type of the substance (such as microalgae, microplastics, silt, etc.), the concentration, the particle size and distribution, the microstructure, the optical characteristic parameters (such as the absorption coefficient and the scattering coefficient), and the like. The scattering model based on the Monte Carlo method simulates the propagation trajectory of the circularly polarized photons in the substance according to the input attribute parameters. In the simulation process, the absorption and scattering of the photons and the substance are considered, and the state of the photons at different positions and different times is determined, including the position, the propagation direction, the energy, and the like.

[0095] Further, the circularly polarized spectrum curve standard library of multiple substances can also be constructed by the following method, and the method further comprises:

[0096] (1) determining multiple substance samples to be measured;

[0097] (2) respectively emitting circularly polarized white light with a light intensity value as a representative light intensity value under multiple light intensity intervals to each of the substance samples to be measured, and receiving scattered light information of each of the substance samples to be measured under the multiple light intensity intervals by the first spectrometer and the second spectrometer;

[0098] Specifically, for each of the multiple substance samples to be measured, circularly polarized white light with a light intensity value as a representative light intensity value under each light intensity interval is respectively emitted to the substance sample to be measured, and the first spectrometer and the second spectrometer synchronously receive scattered light information, and record the scattered light information of each of the substance samples to be measured under different light intensity intervals. For example, in an embodiment, in combination with the above description, the light intensity range of the detection environment is divided into three light intensity intervals, circularly polarized white light with a light intensity value as a representative light intensity value under the three light intensity intervals is respectively emitted to each of the substance samples to be measured, and the first spectrometer and the second spectrometer receive corresponding scattered light information, thereby obtaining three scattered light information corresponding to the three light intensity intervals of each of the substance samples to be measured.

[0099] (3) determining a first correction coefficient corresponding to the first spectrometer and a second correction coefficient corresponding to the second spectrometer based on the light intensity of the circularly polarized white light in each light intensity interval, and obtaining corrected scattered light information of the substance attribute of the substance sample to be measured under each light intensity interval;

[0100] Specifically, in combination with the above description, the first correction coefficient and the second correction coefficient corresponding to each light intensity interval are found, and the scattered light information corresponding to the substance sample to be measured under the light intensity interval is corrected according to the first correction coefficient and the second correction coefficient, thereby obtaining the corrected scattered light information of each of the substance samples to be measured under the multiple light intensity intervals. It should be noted that the first correction coefficient and the second correction coefficient corresponding to different light intensity intervals of the same substance sample to be measured are different.

[0101] (4) Construct a standard circular polarization spectrum curve based on the corrected scattered light information, obtain the standard circular polarization spectrum curve corresponding to each sample of the substance to be tested in multiple light intensity ranges, and construct a standard library of circular polarization spectrum curves.

[0102] The specific steps for constructing a standard circular polarization spectrum curve based on the corrected scattered light information are described above and will not be repeated here. The standard circular polarization spectrum curves for all test samples at various light intensity ranges, along with sample metadata (material composition, concentration, etc.), light intensity range information, spectrometer calibration coefficients, and other data, are stored to form a standard library of circular polarization spectrum curves for easy reference and comparison during subsequent actual testing.

[0103] Furthermore, the generated standard circular polarization spectrum curve is labeled. This information includes the corresponding substance information, such as the substance name, concentration range, and particle size characteristics; environmental information, such as the water optical parameters (absorption coefficient, scattering coefficient) set during the simulation, the simulated spatial range (water depth, measurement area size), etc.; and curve information, such as the curve generation method (based on the scattering model and algorithm), the number of simulated photons, and related calculation parameters. This labeled information facilitates subsequent understanding, use, and comparative analysis of the standard circular polarization spectrum curve. When identifying the substance in the water to be tested, this labeled information can be used to accurately find the matching standard curve.

[0104] S106 , searching and determining the target substance property corresponding to the measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library, thereby completing the identification of the substance in the water area to be measured.

[0105] Specifically, the specific implementation steps of searching and determining the target material property corresponding to the measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library include:

[0106] (1) extracting geometric features of the measured circular polarization spectrum curve;

[0107] Specifically, in actual measurement environments, the measured circular polarization spectrum curve may correspond to a single substance or a mixture of multiple substances. For single-substance spectral curves, the curve typically exhibits a relatively regular, single characteristic pattern, with a simple and distinct curve shape and clear, stable geometric features, making them easy to extract and annotate. Parameters such as the absorption peak position, peak height, and peak width at a specific wavelength can be directly used as standard features. The spectral curve of a mixture, on the other hand, is a superposition and fusion of the spectral features of multiple substances, manifesting as multiple absorption peaks, shoulders, or complex curve morphology variations. For example, when chlorophyll a and suspended particulate matter are coexisting in water, the measured spectral curve not only contains the characteristic peak of chlorophyll a but also exhibits additional spectral intensity fluctuations due to scattering from the particulate matter, resulting in a more complex and variable curve shape. Extracting the geometric features of the mixture curve requires more sophisticated algorithms, such as multi-peak decomposition and local extreme value analysis, to separate and identify the characteristic information of each substance.

[0108] Specifically, geometric features and standard geometric features can be extracted through specific algorithms and methods. The geometric features of the measured circularly polarized spectrum curve may include the peak position of the curve (i.e., the wavelength corresponding to the maximum light intensity), the valley position (the wavelength corresponding to the minimum light intensity), the peak-to-valley intensity difference (the difference between the peak light intensity and the valley light intensity), the change in the slope of the curve (such as in which wavelength ranges the slope changes the most), the symmetry of the curve, etc. These geometric features reflect the scattering and absorption characteristics of circularly polarized light by the substances in the water to be measured, and are a quantitative description of the measured curve. Since the curves in the standard library are generated based on known material properties and specific conditions, their geometric features represent the response characteristics of different substances to circularly polarized light under ideal or specific conditions. Therefore, the standard geometric features of each circularly polarized spectrum curve in the standard library represent the standard state that the circularly polarized spectrum curve should present under the corresponding material properties.

[0109] (2) extracting standard geometric features of each circular polarization spectrum curve in the circular polarization spectrum curve standard library;

[0110] Specifically, the standard geometric features of the circular polarization spectrum curves of single substances in the standard library are clear and stable, and are easy to extract and annotate. Parameters such as the absorption peak position, peak height, and peak width at a specific wavelength can be directly used as standard features. However, for the curves of mixed substances, the extraction of their standard geometric features is more complicated. On the one hand, the composition and proportion of the mixed substances need to be clarified in advance, and the spectral curves under different ratios need to be obtained through simulation or experiment; on the other hand, the characteristics of the mixed curve not only include the characteristic peaks of each single substance, but also involve the interaction between peaks, such as peak displacement, fusion, and intensity change. For example, when two substances are mixed, the position of the characteristic peak of a substance may shift slightly due to intermolecular interactions, and this shift information also needs to be included in the standard geometric features. Therefore, when constructing a geometric feature library for the standard curves of mixed substances, it is necessary to establish a more comprehensive and multi-dimensional characteristic parameter system to accurately describe the complex characteristics of the spectra of mixed substances.

[0111] (3) calculating the similarity between the geometric feature and the standard geometric feature;

[0112] (4) calculating a similarity threshold according to the multiple similarities, and determining a circular polarization spectrum curve having a similarity greater than the similarity threshold as a target circular polarization spectrum curve;

[0113] (5) Determine the material property corresponding to the target circular polarization spectrum curve as the target material property.

[0114] Specifically, the similarity between geometric features and standard geometric features can be calculated using methods such as Euclidean distance, cosine similarity, and the Pearson correlation coefficient. For example, Euclidean distance measures similarity by taking the square root of the sum of the squared differences between the corresponding elements of two feature vectors. A smaller distance indicates higher similarity. Cosine similarity measures similarity by calculating the cosine of the angle between the two vectors. A cosine value closer to 1 indicates higher similarity. These methods can be used to determine the similarity between the measured curve and each curve in the standard library. Based on the multiple similarity values ​​calculated, the average and standard deviation of all similarity values ​​are calculated. The average plus standard deviation is used as the similarity threshold. Circularly polarized spectral curves that exceed this similarity threshold are identified as target circularly polarized spectral curves. These target curves are considered to have a high degree of similarity to the measured curve and may correspond to substances in the waters being tested.

[0115] Furthermore, because each curve in the standard library of circular polarization spectral curves corresponds to specific material properties (such as substance type, concentration range, and particle size), the material properties corresponding to the target circular polarization spectral curve can be determined as the target material properties of the water area being tested. In this way, the measured circular polarization spectral curve is matched with the standard library to determine the material properties of the water area being tested, thus completing the identification of the substances in the water area being tested.

[0116] The present embodiment provides a method for measuring circular polarization of water bodies throughout the day. The method obtains scattered light information by emitting circularly polarized and linearly polarized white light to a first spectrometer and a second spectrometer, respectively. The method then calculates and determines a first correction coefficient for the first spectrometer and a second correction coefficient for the second spectrometer, thereby effectively reducing measurement errors and improving the accuracy of spectrometer measurements. The method emits circularly polarized white light above the water area to be measured, and uses a calibrated spectrometer to receive and correct the scattered light information corresponding to the water area to be measured, thereby obtaining a high-precision measured circular polarization spectrum curve. The method establishes a historical circular polarization spectrum curve based on the material properties of multiple material samples to be measured, and uses the Monte Carlo method to construct a circularly polarized photon spectrum curve. In the scattering model of material samples, this model can simulate the propagation and scattering process of photons in material samples, providing a solid theoretical basis for the subsequent calculation of standard circular polarization spectral curves; based on the scattering model and various types of material samples to be tested, the corresponding standard circular polarization spectral curves are calculated, and a standard library of standard circular polarization spectral curves is constructed, providing a reliable basis for material identification; finally, the measured curves are compared with the standard library to accurately determine the properties of the substances in the water area to be tested, realizing comprehensive and accurate identification of water substances, providing strong technical support for water environment monitoring and analysis, and overcoming the limitations of existing technologies such as large interference from natural light and inability to fully utilize circularly polarized light information.

[0117] Corresponding to the aforementioned embodiment of a method for measuring circular polarization hyperspectral of water bodies throughout the day, the present application also provides an embodiment of a device for measuring circular polarization hyperspectral of water bodies throughout the day.

[0118] Figure 3 This is a schematic diagram of the structure of the first embodiment of the all-day water body circular polarization hyperspectral measurement device provided by this application. Figure 3 The device provided in this embodiment includes a correction module 310, a construction module 320 and an identification module 330; wherein,

[0119] The correction module 310 is configured to transmit circularly polarized white light and linearly polarized white light to the first spectrometer and the second spectrometer, respectively, to construct a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and to construct a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer;

[0120] The correction module 310 is further configured to simultaneously solve the first equation and the second equation to obtain a first correction coefficient corresponding to the first spectrometer and a second correction coefficient corresponding to the second spectrometer;

[0121] The correction module 310 is further configured to emit a circularly polarized white light source above the horizontal plane of the water area to be measured, receive scattered light information of substances in the water area to be measured based on the first spectrometer and the second spectrometer, and correct the received scattered light information based on the first correction coefficient and the second correction coefficient respectively;

[0122] The construction module 320 is used to calculate the measured circular polarization spectrum curve based on the corrected scattered light information;

[0123] The construction module 320 is further used to construct a standard library of circular polarization spectrum curves of multiple substances;

[0124] The identification module 330 is used to determine the target substance property corresponding to the measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library search, and complete the identification of the substance in the water area to be measured.

[0125] The device of this embodiment can be used to perform Figure 1 The steps, specific implementation principles and implementation processes of the method embodiment shown are similar and will not be repeated here.

[0126] The implementation process of the functions and effects of each unit in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, and will not be repeated here.

[0127] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application scheme. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0128] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for measuring circular polarization hyperspectral of water bodies throughout the day, characterized in that: The method comprises: emitting circularly polarized white light and linearly polarized white light to the first spectrometer and the second spectrometer, respectively, constructing a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and constructing a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer; Wherein, constructing a second equation including a first correction coefficient and a second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer includes: Calculating a difference and a sum between a product of a first correction coefficient and circularly polarized white light information received by the first spectrometer and a product of a second correction coefficient and circularly polarized white light information received by the second spectrometer; constructing a first equation based on a ratio of the difference value to the sum value being 1; Calculating a difference between a product of a first correction coefficient and the linearly polarized white light information received by the first spectrometer and a product of a second correction coefficient and the linearly polarized white light information received by the second spectrometer; Construct a second equation based on the difference being equal to 0; Solve the first and second equations simultaneously to obtain a first correction coefficient corresponding to the first spectrometer and a second correction coefficient corresponding to the second spectrometer; Emitting a circularly polarized white light source above the horizontal plane of the water area to be measured, receiving scattered light information of substances in the water area to be measured based on the first spectrometer and the second spectrometer, and correcting the received scattered light information based on the first correction coefficient and the second correction coefficient respectively; Calculate the measured circular polarization spectrum curve based on the corrected scattered light information; The measured circular polarization spectrum curve is calculated based on the corrected scattered light information, including: Calculating circular polarization components at multiple wavelengths according to the measurement wavelength ranges of the first spectrometer and the second spectrometer to obtain multiple data points, wherein the circular polarization component is the intensity difference between left-handed circularly polarized white light and right-handed circularly polarized white light in the corrected scattered light information; Determine that the abscissa of the curve is the wavelength of the circularly polarized component, the ordinate of the curve is the light intensity of the circularly polarized component, and draw the measured circular polarization spectrum curve according to the multiple data points; When it is daytime above the horizontal plane of the water area to be measured, the corrected scattered light information includes a circular polarization state signal of the scattered light of the water area to be measured to the circularly polarized white light, a linear polarization state signal of the scattered light to natural light, and a random polarization state signal generated by instrument noise; When it is night above the horizontal plane of the water area to be measured, the corrected scattered light information includes a circular polarization state signal of the scattered light of the circularly polarized white light by the water area to be measured and a random polarization state signal generated by instrument noise; Construct a standard library of circular polarization spectral curves of multiple substances; Based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library search, the target substance properties corresponding to the measured circular polarization spectrum curve are determined to complete the identification of the substances in the water area to be tested.

2. The method according to claim 1, characterized in that The method comprises: Divide the light intensity into multiple intervals based on the light intensity change trend of the detection environment sunlight conditions; Traverse each light intensity interval and select the representative light intensity value of the currently calculated light intensity interval; emitting circularly polarized white light and linearly polarized white light having light intensities representing light intensity values ​​to the first spectrometer and the second spectrometer, respectively, constructing a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and constructing a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer; The first and second equations are solved simultaneously to obtain the first correction coefficient corresponding to the first spectrometer and the second correction coefficient corresponding to the second spectrometer within the currently calculated light intensity range, and each pair of the first correction coefficient and the second correction coefficient is stored in correspondence with the corresponding light intensity range.

3. The method according to claim 1, characterized in that A circularly polarized white light source is emitted by a full-time circular polarization detection device; the full-time circular polarization detection device includes: a white light source, a wide-spectrum polarizer, a first wide-spectrum quarter-wave plate, a receiving lens, a second wide-spectrum quarter-wave plate, a polarization beam splitter prism, a first focusing lens, a second focusing lens, a first spectrometer, and a second spectrometer; A white light source emits an illumination light source toward the water area, which is modulated into a polarized illumination light source by a wide spectrum polarizer, and the polarized illumination light source is modulated into a circularly polarized white light source by a first wide spectrum quarter wave plate; The receiving lens receives the scattered light, modulates it into linearly polarized white light through the second wide spectrum quarter-wave plate, and the polarization splitting prism splits the linearly polarized white light into orthogonal first linearly polarized white light and second linearly polarized white light; The first linearly polarized white light passes through the first focusing lens to generate left-handed circularly polarized white light; the second linearly polarized white light passes through the second focusing lens to generate right-handed circularly polarized white light; the first spectrometer receives the left-handed circularly polarized white light, and the second spectrometer receives the right-handed circularly polarized white light, and the scattered light information is determined based on the light intensity difference between the left-handed circularly polarized white light and the right-handed circularly polarized white light.

4. The method according to claim 1, wherein The method of constructing a standard library of circular polarization spectrum curves of multiple substances comprises: determining a plurality of samples of substances to be tested; Based on the improved Monte Carlo method, a scattering model corresponding to the material properties of each material sample to be tested is established. The input of the scattering model is the material properties of the material sample to be tested, and the output of the scattering model is the circular polarization spectrum curve corresponding to the material sample to be tested. The standard circular polarization spectrum curve corresponding to each material sample to be tested is obtained, and a standard library of circular polarization spectrum curves is constructed.

5. The method according to claim 1, wherein The method of constructing a standard library of circular polarization spectrum curves of multiple substances further comprises: determining a plurality of samples of substances to be tested; emitting circularly polarized white light with a light intensity representing a light intensity value in a plurality of light intensity intervals to each of the samples of the substance to be tested, and receiving scattered light information of each of the samples of the substance to be tested in the plurality of light intensity intervals by the first spectrometer and the second spectrometer; Determining a first correction coefficient corresponding to the first spectrometer and a second correction coefficient corresponding to the second spectrometer based on the intensity of the circularly polarized white light in each light intensity interval, and obtaining corrected scattered light information corresponding to the material properties of the sample to be tested in each light intensity interval; A standard circular polarization spectrum curve is constructed based on the corrected scattered light information, and the standard circular polarization spectrum curve corresponding to each sample of the substance to be tested in multiple light intensity ranges is obtained to construct a circular polarization spectrum curve standard library.

6. The method according to claim 4, characterized in that The method of establishing a scattering model corresponding to the material properties of each of the material samples to be tested based on the improved Monte Carlo method includes: Generate a random number of circularly polarized photons, and determine physical quantities of the circularly polarized photons based on the random number, the physical quantities including initial position, propagation direction, and speed; Simulating the propagation characteristics of the circularly polarized photons in the plurality of samples of the substance to be tested by combining the physical quantity and the scattering phase function, and determining the circularly polarized spectrum curve according to the propagation characteristics; Calculating the error between the circular polarization spectrum curve and the historical circular polarization spectrum curve for the same sample of the substance to be tested, and updating the random number for the next calculation cycle according to the error; Return to the step of determining the physical quantity of circularly polarized photons according to the random number, and re-obtain the circular polarization spectrum curve. Stop until the error is less than an error threshold, and obtain the scattering model.

7. The method according to claim 1, characterized in that The method of searching and determining the target material property corresponding to the measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library comprises: Extracting geometric features of the measured circular polarization spectrum curve; Extracting standard geometric features of each circular polarization spectrum curve in the circular polarization spectrum curve standard library; Calculating the similarity between the geometric feature and the standard geometric feature; Calculating a similarity threshold according to the multiple similarities, and determining a circular polarization spectrum curve having a value greater than the similarity threshold as a target circular polarization spectrum curve; The material property corresponding to the target circular polarization spectrum curve is determined as the target material property.

8. The method according to claim 4, characterized in that The step of obtaining a standard circular polarization spectrum curve corresponding to each sample of the substance to be tested comprises: Inputting the material properties of each material sample to be tested into the scattering model, the scattering model simulates the propagation trajectory of circularly polarized photons according to the property parameters; The standard circular polarization spectrum curve is generated according to the propagation trajectory, and the corresponding material information, environmental information and curve information in the standard circular polarization spectrum curve are marked.

9. A full-time water body circular polarization hyperspectral measurement device, characterized in that: The device includes a correction module, a construction module and an identification module; wherein, The correction module is configured to transmit circularly polarized white light and linearly polarized white light to the first spectrometer and the second spectrometer, respectively, construct a first equation including a first correction coefficient and a second correction coefficient based on the circularly polarized white light information received by the first spectrometer and the second spectrometer, and construct a second equation including the first correction coefficient and the second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer; Wherein, constructing a second equation including a first correction coefficient and a second correction coefficient based on the linearly polarized white light information received by the first spectrometer and the second spectrometer includes: Calculating a difference and a sum between a product of a first correction coefficient and circularly polarized white light information received by the first spectrometer and a product of a second correction coefficient and circularly polarized white light information received by the second spectrometer; constructing a first equation based on a ratio of the difference value to the sum value being 1; Calculating a difference between a product of a first correction coefficient and the linearly polarized white light information received by the first spectrometer and a product of a second correction coefficient and the linearly polarized white light information received by the second spectrometer; Construct a second equation based on the difference being equal to 0; The correction module is further used to solve the first correction coefficient corresponding to the first spectrometer and the second correction coefficient corresponding to the second spectrometer by simultaneously solving the first equation and the second equation; The correction module is further configured to emit a circularly polarized white light source above the horizontal plane of the water area to be measured, receive scattered light information of substances in the water area to be measured based on the first spectrometer and the second spectrometer, and correct the received scattered light information based on the first correction coefficient and the second correction coefficient respectively; The construction module is used to calculate the measured circular polarization spectrum curve based on the corrected scattered light information; The measured circular polarization spectrum curve is calculated based on the corrected scattered light information, including: Calculating circular polarization components at multiple wavelengths according to the measurement wavelength ranges of the first spectrometer and the second spectrometer to obtain multiple data points, wherein the circular polarization component is the intensity difference between left-handed circularly polarized white light and right-handed circularly polarized white light in the corrected scattered light information; Determine that the abscissa of the curve is the wavelength of the circularly polarized component, the ordinate of the curve is the light intensity of the circularly polarized component, and draw the measured circular polarization spectrum curve according to the multiple data points; When it is daytime above the horizontal plane of the water area to be measured, the corrected scattered light information includes a circular polarization state signal of the scattered light of the water area to be measured to the circularly polarized white light, a linear polarization state signal of the scattered light to natural light, and a random polarization state signal generated by instrument noise; When it is night above the horizontal plane of the water area to be measured, the corrected scattered light information includes a circular polarization state signal of the scattered light of the circularly polarized white light by the water area to be measured and a random polarization state signal generated by instrument noise; The construction module is also used to construct a standard library of circular polarization spectrum curves of multiple substances; The identification module is used to determine the target substance properties corresponding to the measured circular polarization spectrum curve based on the measured circular polarization spectrum curve and the circular polarization spectrum curve standard library search, and complete the identification of the substances in the water area to be tested.

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