Hydrological integrated detection system, method, device, storage medium and product

Abstract

The application discloses a water condition integrated detection system, method, equipment, storage medium and product, and the system comprises a fiber sensing module and a signal analysis module; the fiber sensing module comprises a flow velocity probe and at least one water quality probe; the flow velocity probe detects the flow velocity of a water body through surface enhanced first Raman signals, and obtains first Raman scattering signals related to flow velocity measurement; the at least one water quality probe detects a to-be-measured substance in the water body through surface enhanced second Raman signals, and obtains at least one second Raman scattering signal related to water quality measurement; and the signal analysis module analyzes the flow velocity and the water quality of the water body according to the first Raman scattering signal and the at least one second Raman scattering signal, and obtains flow velocity and water quality monitoring results; the application can realize synchronous measurement and accurate determination of the flow velocity and pollutants of the water body, does not need to establish a monitoring station at the water source, and realizes integrated detection of multiple indexes of the flow velocity and pollutants of the water body.

Description

Technical Field

[0001] This invention relates to the field of data monitoring technology, and in particular to an integrated water situation monitoring system, method, equipment, storage medium, and product. Background Technology

[0002] Water condition monitoring and management typically require rapid, sensitive, and accurate real-time monitoring of multiple parameters across various dimensions, including flow velocity and water quality. For water quality monitoring, since water quality involves multiple pollutants such as heavy metal ions, chemical oxygen demand (COD), and other organic and inorganic chemical pollutants, existing water quality monitoring systems usually employ absorption spectroscopy-based equipment. These systems detect pollutants by utilizing changes in absorbance caused by the absorption of specific wavelengths. However, limited by the broad peak width at half maximum (FWHM) and low spectral resolution of the absorption spectrum, absorption spectroscopy-based systems struggle to achieve high-precision measurements and often can only measure single-component pollutants within a limited range. Therefore, existing monitoring systems usually require setting up monitoring stations near water sources, placing multiple spectral water quality monitoring devices measuring different parameters within each station. For water flow monitoring, existing flow velocity monitoring systems typically use devices such as ultrasonic flow meters or specific devices to convert flow rate into electrical signals for measurement.

[0003] Existing monitoring systems typically consist of three parts: a monitoring station, a transmission module, and a processing module. The monitoring station houses monitoring equipment for different indicators, such as the aforementioned spectral water quality monitoring equipment and flow velocity monitoring equipment, by pumping water into the source or establishing tributaries. The results from each monitoring device are then processed, analyzed, and summarized to form the monitoring results. However, because water pollutant detection relies on absorption spectroscopy, it requires a long detection time and has limited sensitivity, low resolution, and can only detect a limited range of pollutants. Furthermore, crosstalk exists between multiple pollutants, making it impossible to accurately identify and detect multiple pollutants simultaneously in real time. Additionally, flow velocity detection and pollutant detection are independent systems, requiring separate monitoring stations with their respective detection devices. The acquired monitoring data then needs to be processed and analyzed to obtain complete monitoring results, resulting in a lack of integration and cohesion. Summary of the Invention

[0004] To address the problems existing in the prior art, embodiments of the present invention provide an integrated water condition monitoring system, method, equipment, storage medium, and product, which can simultaneously measure and accurately determine water flow velocity and pollutants, while eliminating the need to establish monitoring stations at water sources, and achieving integrated monitoring of multiple indicators such as water flow velocity and pollutants.

[0005] In a first aspect, embodiments of the present invention provide an integrated water condition detection system, comprising: an optical fiber sensing module and a signal analysis module; the optical fiber sensing module includes a flow velocity probe for penetrating into the water body and at least one water quality probe; The flow velocity probe is used to detect the water flow velocity through a surface-enhanced first Raman signal to obtain a first Raman scattering signal related to the flow velocity measurement; At least one of the water quality probes is used to detect the analyte in the water body by means of a surface-enhanced second Raman signal, thereby obtaining at least one second Raman scattering signal related to the water quality determination; The signal analysis module is used to analyze the flow velocity and water quality of the water body based on the first Raman scattering signal and at least one second Raman scattering signal, and obtain the flow velocity and water quality monitoring results.

[0006] As an improvement to the above scheme, the signal analysis module includes a Raman spectroscopy unit; The Raman spectroscopy unit is used to generate an excitation source and transmits the excitation source to the flow velocity probe and at least one of the water quality probes via an optical fiber; The flow velocity probe generates a first Raman signal under the action of the excitation light source; at least one of the water quality probes generates a second Raman signal under the action of the excitation light source.

[0007] As an improvement to the above solution, the signal analysis module further includes an analysis unit; The Raman spectroscopy unit is also used to receive the first Raman scattering signal returned by the flow velocity probe through the optical fiber and at least one second Raman scattering signal returned by at least one water quality probe through the optical fiber, and to convert the first Raman scattering signal into a first Raman spectral signal and at least one second Raman scattering signal into at least one second Raman spectral signal. The analysis unit is used to analyze the flow rate and water quality of the water body based on the first Raman spectral signal and at least one second Raman spectral signal, and to obtain the flow rate and water quality monitoring results.

[0008] As an improvement to the above scheme, the flow velocity probe includes a first optical fiber probe and a first gold nanoparticle layer. The surface of the first optical fiber probe is provided with a first gold nanoparticle coating. The first gold nanoparticle layer is disposed on the surface of the first optical fiber probe and has an electrostatic repulsion force with the first gold nanoparticle coating. An internal standard molecule is provided on the surface of the first gold nanoparticle layer. The flow velocity probe measures the flow velocity by measuring the change in the first Raman signal caused by the change in the spacing between the first gold nanoparticle layer and the first gold nanoparticle coating due to the flow velocity.

[0009] As an improvement to the above scheme, the water quality probe includes a second optical fiber probe and a second gold nanoparticle layer. The surface of the second optical fiber probe is provided with a second gold nanoparticle coating, and the second gold nanoparticle layer is disposed on the surface of the second optical fiber probe and has an electrostatic repulsion force with the second gold nanoparticle coating. The water quality is determined by the change in the second Raman signal generated by the analyte approaching or adsorbing onto the gold nanoparticles in the second gold nanoparticle layer.

[0010] As an improvement to the above scheme, the flow velocity and water quality monitoring results include the current flow velocity of the water body and the types and concentrations of the substances to be tested contained in the water body. The analysis unit includes a signal conversion subunit, a flow rate comparison subunit, a water quality comparison subunit, and a normalization calibration subunit; The signal conversion subunit is used to convert the first Raman spectral signal into a first digital matrix and to convert at least one second Raman spectral signal into at least one second digital matrix; The flow velocity comparison subunit is used to compare and analyze the first digital matrix with a preset flow velocity standard database to determine the current flow velocity of the water body; The normalization calibration subunit is used to normalize and calibrate each of the second digital matrices according to the first Raman spectral signal to obtain the corresponding calibrated second digital matrices; The water quality comparison subunit is used to compare and analyze each calibrated first digital matrix with a preset water quality standard database to determine the types and concentrations of the substances to be tested contained in the water body.

[0011] Secondly, embodiments of the present invention provide an integrated hydrological monitoring method, applied to an integrated hydrological monitoring system, the system comprising a flow velocity probe for penetrating the water body and at least one water quality probe; the method comprising: The water flow velocity is detected by surface-enhanced first Raman signal of the flow velocity probe, and a first Raman scattering signal related to the flow velocity measurement is obtained. The analyte in the water body is detected by at least one surface-enhanced second Raman signal of the water quality probe, and at least one second Raman scattering signal related to the water quality determination is obtained. The flow velocity and water quality of the water body are analyzed based on the first Raman scattering signal and at least one second Raman scattering signal to obtain flow velocity and water quality monitoring results.

[0012] Thirdly, embodiments of the present invention provide an integrated water situation detection device, comprising: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the integrated water situation detection method as described in any one of the second aspects.

[0013] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, wherein the computer program, when running, controls the device containing the computer-readable storage medium to execute the integrated water situation detection method as described in any one of the second aspects.

[0014] Fifthly, embodiments of the present invention provide a computer program product, including a computer program / instruction, which, when executed by a processor, implements the integrated water situation detection method as described in any one of the second aspects.

[0015] Compared to existing technologies, the integrated water condition detection system, method, device, storage medium, and product of this invention detect water flow velocity using a surface-enhanced Raman signal from a flow velocity probe to obtain a first Raman scattering signal related to flow velocity measurement; detect analytes in the water using at least one surface-enhanced Raman signal from a water quality probe to obtain at least one second Raman scattering signal related to water quality measurement; then analyze the water flow velocity and water quality based on the first Raman scattering signal and at least one second Raman scattering signal to obtain flow velocity and water quality monitoring results. This enables simultaneous measurement and accurate determination of water flow velocity and pollutants, while eliminating the need to establish monitoring stations at water sources, thus achieving integrated detection of multiple indicators of water flow velocity and pollutants. Attached Figure Description

[0016] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a structural block diagram of an integrated hydrological monitoring system provided in an embodiment of the present invention; Figure 2 This is a data interaction diagram of the integrated seed and water condition monitoring system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the changes of the flow velocity probe at different flow velocities provided in this embodiment of the invention; Figure 4This is a schematic diagram illustrating the detection principle of the flow velocity probe and water quality probe in the fiber optic sensing module provided in this embodiment of the invention; Figure 5 This is a schematic diagram of the flow rate standard database provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the first Raman spectral signal of the flow rate provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the second Raman spectral signal of the substance to be tested provided in an embodiment of the present invention; Figure 8 This is a flowchart of an integrated hydrological monitoring system provided in an embodiment of the present invention; Figure 9 This is a structural block diagram of an integrated hydrological monitoring device provided in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It is understood that the various numerical designations used in the embodiments of this invention are merely for descriptive convenience and are not intended to limit the scope of this application. The order of the process numbers does not imply the order of execution; the execution order of each process should be determined by its function and internal logic. In embodiments of the invention, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, without necessarily requiring or implying any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The terms "multiple or several" refer to two or more, and the same applies to "multiple / items or several kinds / items." "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.

[0020] Please see Figure 1 , Figure 1 This is a schematic diagram of the structure of an integrated water condition detection system provided in an embodiment of the present invention. The integrated water condition detection system includes: an optical fiber sensing module 11 and a signal analysis module 12; the optical fiber sensing module 11 includes a flow velocity probe 111 for penetrating the water body and at least one water quality probe 112; The flow velocity probe 111 is used to detect the water flow velocity through a surface-enhanced first Raman signal to obtain a first Raman scattering signal related to the flow velocity measurement; At least one of the water quality probes 112 is used to detect the analyte in the water body by means of a surface-enhanced second Raman signal, and to obtain at least one second Raman scattering signal related to the water quality determination; The signal analysis module 12 is used to analyze the flow velocity and water quality of the water body based on the first Raman scattering signal and at least one second Raman scattering signal, and obtain the flow velocity and water quality monitoring results.

[0021] Furthermore, the signal analysis module includes a Raman spectroscopy unit; The Raman spectroscopy unit can be a spectrometer with excitation source generation and Raman signal reception functions. In this embodiment of the invention, no specific limitation is made. For example, it can be a miniature Raman spectrometer.

[0022] The Raman spectroscopy unit can generate an excitation source. The Raman spectroscopy unit is connected to the fiber optic sensing module via a fiber optic coupler, so that the excitation source excited by the Raman spectroscopy unit is coupled into the fiber optic sensing module. At the same time, the first Raman scattering signal from the flow velocity probe and the second Raman scattering signal from the water quality probe at the end of the fiber optic sensing module are transmitted back to the Raman spectroscopy unit for detection via optical fiber.

[0023] In this embodiment of the invention, the term "fiber optic sensing module" can also be described as a fiber optic sensing matrix or a fiber optic Raman sensing matrix; these three terms can be used interchangeably and are not specifically limited in this embodiment. The fiber optic sensing module is a sensing array composed of multiple sensing fiber optic probes, including a flow velocity probe for flow velocity measurement and a water quality probe for water quality measurement. The water quality probe, depending on its structure and coating, can detect one or more different analytes.

[0024] It should be understood that the substance to be tested can be organic or inorganic substances in the water body that are related to water quality. In the embodiments of this invention, no specific limitation is made. For example, the substance to be tested can be heavy metal ions, chemical oxygen demand, and other organic and inorganic chemical pollutants.

[0025] The excitation source generated by the Raman spectroscopy unit is transmitted via optical fiber to the flow velocity probe and each water quality probe, exciting the surface-enhanced Raman signals on the flow velocity probe and water quality probe. The backscattered portions (i.e., the corresponding first Raman scattering signal and second Raman scattering signal) are transmitted back to the Raman spectroscopy unit via optical fiber. The Raman spectroscopy unit generates corresponding spectra for the signals returned by each flow velocity probe and water quality probe, which are then fed into the signal analysis module for data analysis and processing to obtain the flow velocity and water quality monitoring results. This embodiment of the invention is based on a sensor array composed of a flow velocity probe and at least one water quality probe, which can realize the simultaneous measurement and accurate determination of water flow velocity and pollutants, achieving integrated detection of multiple indicators of water flow velocity and pollutants.

[0026] The embodiments of this invention employ fiber optic remote sensing technology. The fiber optic sensing module has non-contact telemetry capabilities. For an integrated water condition monitoring system, it is only necessary to deploy the flow velocity probe and water quality probe of the fiber optic sensing module into the water body, and the signal can be transmitted to the signal analysis module for processing through the fiber optic cable. There is no need to establish a monitoring station at the water source. It has the advantages of high sensitivity, high accuracy, low latency, low cost, and high scalability.

[0027] In some embodiments, the flow velocity probe includes a first optical fiber probe and a first gold nanoparticle layer, wherein the surface of the first optical fiber probe is provided with a first gold nanoparticle coating, the first gold nanoparticle layer is disposed on the surface of the first optical fiber probe and has electrostatic repulsion with the first gold nanoparticle coating, and the surface of the first gold nanoparticle layer is provided with an internal standard molecule. The flow velocity probe measures the flow velocity by measuring the change in the first Raman signal caused by the change in the spacing between the first gold nanoparticle layer and the first gold nanoparticle coating due to the flow velocity.

[0028] In some embodiments, the water quality probe includes a second optical fiber probe and a second gold nanoparticle layer, wherein the surface of the second optical fiber probe is provided with a second gold nanoparticle coating, the second gold nanoparticle layer is disposed on the surface of the second optical fiber probe and has an electrostatic repulsion force with the second gold nanoparticle coating, and the water quality probe measures water quality by the change in the second Raman signal generated by the analyte approaching or adsorbing onto the gold nanoparticles in the second gold nanoparticle layer.

[0029] The sensing fiber optic probe consists of a fiber optic probe and a surface-enhanced Raman sensing structure. The specific method for generating the surface-enhanced Raman sensing structure of the fiber optic probe is as follows: (1) Immerse one surface of the cleaned modified fiber optic probe in a solution of gold nanoparticles to allow the gold nanoparticles to be uniformly adsorbed onto the fiber surface to form a gold nanoparticle coating. Divide the fiber optic probe with the gold nanoparticle coating into a first fiber optic probe and a second fiber optic probe; the first fiber optic probe is used for subsequent flow velocity measurement, and the gold nanoparticle coating on the first fiber optic probe is called the first gold nanoparticle coating; the second fiber optic probe is used for subsequent water quality measurement, and the gold nanoparticle coating on the second fiber optic probe is called the second gold nanoparticle coating.

[0030] (2) Modify the surface of gold nanoparticles with internal standard molecules, such as 5,5'-dithiobis(2-nitrobenzoic acid), by mixing and co-incubating, and attach PEG chains (polyethylene glycol chains) to the surface of gold nanoparticles through gold-sulfur covalent bonds. Immerse the first optical fiber probe in the gold nanoparticle solution to attach it to the surface of the optical fiber with the first gold nanoparticle coating, forming the first gold nanoparticle layer, and obtain the flow rate probe.

[0031] The flow rate probe measures the flow rate by detecting changes in the first Raman signal caused by the change in the spacing between the gold nanoparticles and the first gold nanocoating layer due to the flow rate; for example... Figure 3 As shown, when the water flow velocity is low, the distance between the gold nanoparticles and the first gold nanocoating is relatively large, resulting in a small change in the first Raman scattering signal, which is a weak flow velocity signal. Conversely, when the water flow velocity is high, the distance between the gold nanoparticles and the first gold nanocoating is relatively small, resulting in a large change in the first Raman scattering signal, which is a strong flow velocity signal. It can be understood that the first Raman signal is the signal generated by the internal standard molecules under the action of the excitation source, and the first Raman scattering signal is the scattered portion of the signal after the surface-enhanced first Raman signal is acted upon by the water flow.

[0032] (3) PEG chains are attached to the surface of gold nanoparticles by gold-sulfur covalent bonds. The second optical fiber probe is immersed in the gold nanoparticle solution to attach to the surface of the optical fiber with the second gold nanoparticle coating, forming the second gold nanoparticle layer and obtaining the water quality probe.

[0033] The water quality probe detects the intrinsic Raman signal of the analyte generated by the adsorption of the analyte upon contact with the gold nanoparticles in the second gold nanoparticle layer. The signal enhancement varies with flow velocity, allowing for direct, label-free detection of numerous organic pollutants such as organochlorine pesticides, organophosphorus pesticides, and nitrobenzenes. It can also detect heavy metal ions and inorganic pollutants through molecular modification. The second Raman signal can be understood as the signal generated by the adsorption or proximity of the analyte to the gold nanoparticles under the excitation light source, while the second Raman scattering signal is the scattered portion of the surface-enhanced second Raman signal under the influence of water flow.

[0034] (4) The flow velocity probe and the water quality probe are combined in an orderly manner to form an optical fiber sensing matrix, thus obtaining an optical fiber sensing module.

[0035] like Figure 4 As shown, the detection principle of the fiber optic sensing module is as follows: The Raman spectroscopy unit excites a Raman signal, which is transmitted to the fiber optic sensing module via an optical fiber, thereby exciting the flow velocity probe and water quality probe in the fiber optic sensing module. The flow velocity probe surface enhances the Raman signal. Changes in water flow velocity cause deformation of the first gold nanoparticle layer on the probe surface, which extends deep into the water. This causes the gold nanoparticles in the first gold nanoparticle layer to align with the first gold nanocoating on the probe surface, thereby generating electromagnetic field coupling and enhancing the Raman scattering signal. Due to the electrostatic repulsion between the gold nanoparticles and the first gold nanocoating, the distance between the gold nanoparticles and the second gold nanocoating varies with the fluid forces and electrostatic repulsion at different flow velocities, resulting in different levels of enhanced local electromagnetic field coupling in equilibrium. The Raman signal intensity is proportional to 10 times the intensity of the local electromagnetic field. 4 Therefore, the water flow velocity can be detected in real time by the change in the intensity of the first Raman signal of the internal standard molecule of gold nanoparticles. Based on the scattering part of the first Raman signal, the first Raman scattering signal related to the water flow velocity measurement is obtained. The first Raman scattering signal is transmitted back to the Raman spectroscopy unit through optical fiber and detected after spectral recognition.

[0036] The surface-enhanced Raman signal of the water quality probe is enhanced. The effect of water flow velocity on the deformation of the second gold nanoparticle layer of the water quality probe is the same as that of the flow velocity probe. The change in the spacing between the second gold nanoparticle layer and the second gold nanoparticle coating also affects the Raman signal enhancement in the same way as the flow velocity probe, and will not be repeated here. Unlike the flow velocity probe, the gold nanoparticles in the second gold nanoparticle layer of the water quality probe do not contain internal standard molecules. The corresponding second Raman signal is generated by the proximity or adsorption of the analyte in the water onto the gold nanoparticles in the second gold nanoparticle layer of the water quality probe, and the signal is enhanced by electromagnetic field coupling under the action of fluid. The water quality can be sensed and detected in real time by the change in the intensity of the second Raman signal of the analyte near or adsorbed by the gold nanoparticles. Based on the scattering part of the second Raman signal, the second Raman scattering signal related to the water quality measurement is obtained. This second Raman scattering signal is transmitted back to the Raman spectroscopy unit through optical fiber and detected after spectral recognition.

[0037] As an optional embodiment, the fiber optic sensing module has the following detection performance: using an excitation source with a wavelength of 633nm, an optical power of 3mM, and an excitation integration time of 1s, and simulating water flow velocity, the fiber optic sensing module has a flow velocity sensing range of 0-20m / s, a sensing accuracy of 0.01m / s, a detection limit of <100pM for common organic pollutants such as methylene blue and rhodamine 6G, and a standard deviation of <3% for Raman signal detection results.

[0038] Specifically, the signal analysis module further includes an analysis unit; The Raman spectroscopy unit is also used to receive the first Raman scattering signal returned by the flow velocity probe through the optical fiber and at least one second Raman scattering signal returned by at least one water quality probe through the optical fiber, and to convert the first Raman scattering signal into a first Raman spectral signal and at least one second Raman scattering signal into at least one second Raman spectral signal. The analysis unit is used to analyze the flow rate and water quality of the water body based on the first Raman spectral signal and at least one second Raman spectral signal, and to obtain the flow rate and water quality monitoring results.

[0039] The flow velocity and water quality monitoring results include the current flow velocity of the water body and the types and concentrations of the substances to be tested contained in the water body. The analysis unit includes a signal conversion subunit, a flow rate comparison subunit, a water quality comparison subunit, and a normalization calibration subunit; The signal conversion subunit is used to convert the first Raman spectral signal into a first digital matrix and to convert at least one second Raman spectral signal into at least one second digital matrix; The flow velocity comparison subunit is used to compare and analyze the first digital matrix with a preset flow velocity standard database to determine the current flow velocity of the water body; The normalization calibration subunit is used to normalize and calibrate each of the second digital matrices according to the first Raman spectral signal to obtain the corresponding calibrated second digital matrices; The water quality comparison subunit is used to compare and analyze each calibrated first digital matrix with a preset water quality standard database to determine the types and concentrations of the substances to be tested contained in the water body.

[0040] For example, the following is combined with Figure 4 The analysis process for flow rate and analyte is described in detail below: The Raman scattering signals transmitted back by different sensing fiber optic probes in the fiber optic sensing module are converted into Raman spectra. Specifically, the Raman spectroscopy unit converts the first Raman scattering signal transmitted back by the flow velocity probe into a first Raman spectral signal and the second Raman scattering signal transmitted back by each water quality probe into a second Raman spectral signal.

[0041] The Raman spectrum is converted into a digital matrix; specifically, the signal conversion subunit converts the signal intensity of the Raman peak position of the internal standard molecule of the first Raman spectrum signal into a first digital matrix, and converts the signal intensity of the Raman peak position of each target value in each second Raman spectrum signal into a second digital matrix.

[0042] The first data matrix is ​​compared with the flow velocity standard database to calculate the current flow velocity of the water body.

[0043] The second digital matrix is ​​normalized and calibrated based on the first Raman spectral signal. Specifically, the signal intensity of a certain analyte in the second digital matrix is ​​normalized and calibrated based on the signal intensity corresponding to the Raman peak position of the first Raman spectral signal of the internal standard molecule enhanced on the surface of the flow probe at the current flow rate and the signal intensity corresponding to the Raman peak position of the internal standard molecule enhanced on the surface of the flow probe at a unit flow rate. The specific normalization formula is as follows: (1); in, This represents the normalized characteristic signal intensity of the internal standard molecule obtained by the flow velocity probe at a flow velocity of 1 m / s, i.e., the signal intensity of the Raman peak position of the internal standard molecule in the Raman spectrum obtained at a flow velocity of 1 m / s. The normalized characteristic signal intensity represents the first Raman spectral signal of the internal standard molecule currently measured in real time in the flow velocity probe, that is, the signal intensity of the Raman peak position of the internal standard molecule in the first Raman spectral signal. It represents the signal intensity of a certain substance to be tested in the second digital matrix detected by any water quality probe, that is, the signal intensity of the Raman peak of the substance to be tested on the second Raman spectral signal; This indicates the normalized signal strength of the substance being tested.

[0044] The embodiments of the present invention calibrate the signal intensity of the analyte by using the signal intensity of the internal standard molecule, which can reduce mutual interference between multiple water quality indicators and improve the accuracy and reliability of water quality monitoring.

[0045] The signal strength in the calibrated second digital matrix is ​​subjected to a credibility check, and unreliable data is eliminated; for example, signal strengths in the second digital matrix that are outside the preset abnormal strength range are eliminated.

[0046] By comparing and analyzing the second numerical matrix after removing unreliable data with the water quality standard database, the types of substances to be tested in the water body and the concentration of each type are determined.

[0047] Based on the current flow velocity of the water body and the types and concentrations of the substances to be tested contained in the water body, the final flow velocity and water quality monitoring results can be obtained.

[0048] In this embodiment of the invention, the establishment of the flow velocity standard database and the water quality standard database is achieved by pre-measuring known water flow velocities and water bodies containing different concentrations of the analyte, and obtaining the corresponding Raman spectral signal intensity values ​​as standard data. The specific establishment process is as follows: A flow rate probe was used to detect the signal intensity values ​​of the corresponding Raman spectral signals of internal standard molecules at known flow rates. A primary correspondence was established between the flow rate and the signal intensity values ​​of the Raman spectral signals of the internal standard molecules, thus obtaining a flow rate standard database, such as... Figure 5 As shown; Raman spectral signals of various analytes were obtained using a water quality probe, and the characteristic peak positions of each analyte were calibrated. Then, the Raman spectral signals of various analytes at different concentrations at a flow rate of 1 m / s were detected using the water quality probe, and the signal intensity of the characteristic peak positions of each analyte at different concentrations was obtained. A second correspondence between the concentration and signal intensity of each analyte was established, and a water quality standard database of various analytes was obtained.

[0049] The embodiments of the present invention can eliminate the influence of changes in water flow velocity on the accuracy of the measurement of the tested substances by establishing a water quality standard database, and have self-calibration capabilities, which can improve the accuracy of detection.

[0050] Assuming the flow velocity probe in the fiber optic sensing module detects the first Raman spectral signal as follows: Figure 6 As shown. The Raman peak of the internal standard molecule is located at 1333 cm⁻¹. -1 The first Raman spectral signal was converted into a first digital matrix, and the Raman peak position of the internal standard molecule was read out at 1333 cm⁻¹. -1 The corresponding signal strength is 6704. Substituting this signal strength into... Figure 5 The flow velocity standard database shown indicates that the current flow velocity of the water body is 6.25 m / s.

[0051] Assuming that one of the water quality probes in the fiber optic sensing module can detect methylene blue and rhodamine, and the currently detected second Raman spectral signal is as follows... Figure 7 As shown, the Raman peak of methylene blue is located at 1615 cm⁻¹. -1 The height of Rodanmin's Raman peak is 1366cm. -1The second Raman spectral signal was converted into a second digital matrix, and the Raman peak position of methylene blue was read out at 1615 cm⁻¹. -1 Rodanmin's Raman peak is 1366cm. -1 The corresponding signal strengths are 3727 and 2856, respectively. Figure 5 The flow rate standard database shows that the signal intensity of the internal standard molecule is 1835 when the flow rate is 1 m / s. Substituting the signal intensities of methylene blue and rhodamine, the signal intensity of the internal standard molecule at the real-time flow rate (i.e., the signal intensity 6704), and the signal intensity of the standard internal standard at a flow rate of 1 m / s (i.e., the signal intensity 1835) into the above formula (1) for normalization, the calibrated signal intensities of methylene blue and rhodamine are obtained. Finally, the calibrated signal intensities of methylene blue and rhodamine are substituted into their respective water quality standard databases to obtain the current concentrations of the two in the water body, for example, the concentration of methylene blue is 17 nM and the concentration of rhodamine is 9 nM.

[0052] Furthermore, after the flow velocity and water quality monitoring results are available, the analysis unit can compare the current flow velocity of the water body and the concentration of the analyte contained in the water body with threshold values. If the current flow velocity or the concentration of the analyte contained in the water body exceeds the corresponding set threshold, an alarm for abnormal water conditions will be triggered.

[0053] Furthermore, the analysis unit can also accumulate the water flow velocity and the concentration of the analyte in the water body detected at different times, and generate a flow velocity trend graph from the accumulated water flow velocity, and generate a corresponding concentration trend graph from the accumulated concentration of the analyte in the water body; through the flow velocity / concentration trend graph, users can easily analyze and view the changes in water flow velocity and water quality over a period of time.

[0054] Compared with the prior art, the beneficial effects of the embodiments of the present invention are as follows: By using an optical fiber sensing module composed of flow velocity probes and water quality probes based on gold nanostructures, water flow velocity and water quality can be monitored simultaneously in real time. This enables the synchronous measurement and accurate identification of water flow velocity and pollutants, without the need to establish a monitoring station at the water source, thus achieving integrated detection of multiple indicators such as water flow velocity and pollutants.

[0055] Using the signal intensity of the internal standard molecule of the flow velocity probe to automatically calibrate the signal intensity of the analyte detected by the water quality probe can reduce the mutual interference between multiple water quality indicators, improve the accuracy and reliability of water quality monitoring, and has significant advantages in accurate monitoring of multiple parameters.

[0056] By employing fiber optic probe technology combining gold nanocoating and gold nanoparticles, and Raman spectroscopy with fingerprint spectral characteristics, the types of analytes that can be detected, the detection sensitivity, the range and accuracy of water flow velocity, and the detection efficiency can be effectively improved, enabling the system to have real-time monitoring capabilities. Utilizing fiber optic remote sensing technology, fiber optic sensing modules offer advantages in multi-index detection integration, equipment miniaturization, sample miniaturization, and mass production of sensors, while also enabling non-contact remote measurement capabilities. Within the entire system, for newly added water areas requiring measurement, only the flow velocity probe and water quality probe of the fiber optic sensing module need to be deployed within the water area; the signals are then transmitted via fiber optic cable to the signal analysis module for processing. This approach offers advantages such as high sensitivity, high accuracy, low latency, low cost, and high scalability.

[0057] See Figure 8 , Figure 8 This is a flowchart of an integrated hydrological monitoring method provided by an embodiment of the present invention. The method is applied to the aforementioned integrated hydrological monitoring system, which includes a flow velocity probe for penetrating the water body and at least one water quality probe. The method includes: S11: The water flow velocity is detected by the surface-enhanced first Raman signal of the flow velocity probe to obtain the first Raman scattering signal related to the flow velocity measurement; S12: Detect the analyte in the water body by using at least one surface-enhanced second Raman signal from the water quality probe to obtain at least one second Raman scattering signal related to water quality determination; S13: Analyze the flow velocity and water quality of the water body based on the first Raman scattering signal and at least one second Raman scattering signal to obtain flow velocity and water quality monitoring results.

[0058] In an optional embodiment, the step of analyzing the flow velocity and water quality of the water body based on the first Raman scattering signal and at least one second Raman scattering signal to obtain flow velocity and water quality monitoring results includes: The first Raman scattering signal is converted into a first Raman spectral signal; Convert at least one of the second Raman scattering signals into at least one second Raman spectral signal; The flow velocity and water quality of the water body are analyzed based on the first Raman spectral signal and at least one second Raman spectral signal to obtain the flow velocity and water quality monitoring results.

[0059] In an optional embodiment, the step of analyzing the flow velocity and water quality of the water body based on the first Raman spectral signal and at least one second Raman spectral signal to obtain the flow velocity and water quality monitoring results includes: Convert the first Raman spectral signal into a first digital matrix; Convert at least one of the second Raman spectral signals into at least one second digital matrix; The first digital matrix is ​​compared and analyzed with a preset flow velocity standard database to determine the current flow velocity of the water body; The second digital matrices are normalized and calibrated according to the first Raman spectral signal to obtain the corresponding calibrated second digital matrices; Each calibrated second digital matrix is ​​compared and analyzed with a preset water quality standard database to determine the types and concentrations of the substances to be tested contained in the water body. The water quality monitoring results are obtained based on the current flow rate of the water body, the types of substances to be tested contained in the water body, and the concentration of each type.

[0060] In an optional embodiment, before comparing and analyzing each calibrated second digital matrix with a preset water quality standard database to determine the types and concentrations of the analytes in the water body, the method further includes: The credibility of each calibrated second digital matrix is ​​checked, and unreliable data in the calibrated second digital matrix is ​​removed.

[0061] In one optional embodiment, the flow velocity probe includes a first optical fiber probe and a first gold nanoparticle layer, wherein the surface of the first optical fiber probe is provided with a first gold nanoparticle coating, the first gold nanoparticle layer is disposed on the surface of the first optical fiber probe and has electrostatic repulsion with the first gold nanoparticle coating, and the surface of the first gold nanoparticle layer is provided with an internal standard molecule. The flow velocity probe measures the flow velocity by measuring the change in the first Raman signal caused by the change in the spacing between the first gold nanoparticle layer and the first gold nanoparticle coating due to the flow velocity.

[0062] In one optional embodiment, the water quality probe includes a second optical fiber probe and a second gold nanoparticle layer, wherein the surface of the second optical fiber probe is provided with a second gold nanoparticle coating, and the second gold nanoparticle layer is disposed on the surface of the second optical fiber probe and has an electrostatic repulsion force with the second gold nanoparticle coating. The water quality probe performs water quality determination by the change in the second Raman signal generated by the analyte approaching or adsorbing onto the gold nanoparticles in the second gold nanoparticle layer.

[0063] It should be noted that the working process of the integrated hydrological monitoring system method described in the embodiments of the present invention can refer to the working process of each module of the integrated hydrological monitoring system described in the above embodiments, and the technical effect achieved is the same as that of the integrated hydrological monitoring system described in the above embodiments, which will not be repeated here.

[0064] See Figure 9 , Figure 9 This is a structural block diagram of the integrated hydrological monitoring device provided in an embodiment of the present invention. The integrated hydrological monitoring device includes a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. When the processor 21 executes the computer program, it implements the steps in the various embodiments of the integrated hydrological monitoring system described above, such as steps S11 to S13.

[0065] For example, the computer program can be divided into one or more modules / units, which are stored in the memory 22 and executed by the processor 21 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the integrated hydrological monitoring device.

[0066] The integrated hydrological monitoring device may include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will understand that the schematic diagram is merely an example of the integrated hydrological monitoring device and does not constitute a limitation on the device. It may include more or fewer components than shown in the diagram, or combine certain components, or use different components. For example, the integrated hydrological monitoring device may also include input / output devices, network access devices, buses, etc.

[0067] The processor 21 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor 21 is the control center of the integrated hydrological monitoring equipment, connecting all parts of the equipment via various interfaces and lines.

[0068] The memory 22 can be used to store the computer program and / or modules. The processor 21 realizes various functions of the integrated water situation detection device by running or executing the computer program and / or modules stored in the memory 22 and calling the data stored in the memory 22. The memory 22 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0069] If the integrated modules / units of the water situation monitoring equipment are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by the processor 21, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0070] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0071] The above description is a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, many improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. An integrated water condition monitoring system, characterized in that, include: The fiber optic sensing module and signal analysis module; the fiber optic sensing module includes a flow velocity probe for penetrating the water body and at least one water quality probe; The flow velocity probe is used to detect the water flow velocity through a surface-enhanced first Raman signal to obtain a first Raman scattering signal related to the flow velocity measurement; At least one of the water quality probes is used to detect the analyte in the water body by means of a surface-enhanced second Raman signal, thereby obtaining at least one second Raman scattering signal related to the water quality determination; The signal analysis module is used to analyze the flow velocity and water quality of the water body based on the first Raman scattering signal and at least one second Raman scattering signal, and obtain the flow velocity and water quality monitoring results. The flow velocity probe includes a first optical fiber probe and a first gold nanoparticle layer. The surface of the first optical fiber probe is provided with a first gold nanoparticle coating. The flow velocity probe measures the flow velocity by the change in the first Raman signal caused by the change in the spacing between the first gold nanoparticle layer and the first gold nanoparticle coating due to the flow velocity. The water quality probe includes a second optical fiber probe and a second gold nanoparticle layer. The surface of the second optical fiber probe is provided with a second gold nanoparticle coating. The water quality probe measures water quality by detecting changes in the second Raman signal generated by the interaction between the analyte and the gold nanoparticles in the second gold nanoparticle layer.

2. The integrated water condition monitoring system as described in claim 1, characterized in that, The signal analysis module includes a Raman spectroscopy unit; The Raman spectroscopy unit is used to generate an excitation source and transmits the excitation source to the flow velocity probe and at least one of the water quality probes via an optical fiber; The flow velocity probe generates a first Raman signal under the action of the excitation light source; at least one of the water quality probes generates a second Raman signal under the action of the excitation light source.

3. The integrated hydrological monitoring system as described in claim 2, characterized in that, The signal analysis module also includes an analysis unit; The Raman spectroscopy unit is also used to receive the first Raman scattering signal returned by the flow velocity probe through the optical fiber and at least one second Raman scattering signal returned by at least one water quality probe through the optical fiber, and to convert the first Raman scattering signal into a first Raman spectral signal and at least one second Raman scattering signal into at least one second Raman spectral signal. The analysis unit is used to analyze the flow rate and water quality of the water body based on the first Raman spectral signal and at least one second Raman spectral signal, and to obtain the flow rate and water quality monitoring results.

4. The integrated water condition monitoring system as described in claim 1, characterized in that, The first gold nanoparticle layer is disposed on the surface of the first optical fiber probe and has electrostatic repulsion with the first gold nanocoating. An internal standard molecule is disposed on the surface of the first gold nanoparticle layer. The flow velocity probe measures the flow velocity by measuring the change in the first Raman signal caused by the change in the spacing between the first gold nanoparticle layer and the first gold nanocoating due to the flow velocity through the internal standard molecule.

5. The integrated water condition monitoring system as described in claim 1, characterized in that, The second gold nanoparticle layer is disposed on the surface of the second optical fiber probe and has an electrostatic repulsion force with the second gold nanoparticle coating. The water quality probe measures the water quality by the change in the second Raman signal generated when the analyte approaches or is adsorbed on the gold nanoparticles in the second gold nanoparticle layer.

6. The integrated water condition monitoring system as described in claim 3, characterized in that, The flow velocity and water quality monitoring results include the current flow velocity of the water body and the types and concentrations of the substances to be tested contained in the water body. The analysis unit includes a signal conversion subunit, a flow rate comparison subunit, a water quality comparison subunit, and a normalization calibration subunit; The signal conversion subunit is used to convert the first Raman spectral signal into a first digital matrix and to convert at least one second Raman spectral signal into at least one second digital matrix; The flow velocity comparison subunit is used to compare and analyze the first digital matrix with a preset flow velocity standard database to determine the current flow velocity of the water body; The normalization calibration subunit is used to normalize and calibrate each of the second digital matrices according to the first Raman spectral signal to obtain the corresponding calibrated second digital matrices; The water quality comparison subunit is used to compare and analyze each calibrated first digital matrix with a preset water quality standard database to determine the types and concentrations of the substances to be tested contained in the water body.

7. A method for integrated water condition detection, characterized in that, An integrated hydrological monitoring system is applied, the system comprising a flow velocity probe for penetrating the water body and at least one water quality probe; the method includes: The water flow velocity is detected by surface-enhanced first Raman signal of the flow velocity probe, and a first Raman scattering signal related to the flow velocity measurement is obtained. The analyte in the water body is detected by at least one surface-enhanced second Raman signal of the water quality probe, and at least one second Raman scattering signal related to the water quality determination is obtained. Based on the first Raman scattering signal and at least one second Raman scattering signal, the flow velocity and water quality of the water body are analyzed to obtain flow velocity and water quality monitoring results. The flow velocity probe includes a first optical fiber probe and a first gold nanoparticle layer. The surface of the first optical fiber probe is provided with a first gold nanoparticle coating. The flow velocity probe measures the flow velocity by the change in the first Raman signal caused by the change in the spacing between the first gold nanoparticle layer and the first gold nanoparticle coating due to the flow velocity. The water quality probe includes a second optical fiber probe and a second gold nanoparticle layer. The surface of the second optical fiber probe is provided with a second gold nanoparticle coating. The water quality probe measures water quality by detecting changes in the second Raman signal generated by the interaction between the analyte and the gold nanoparticles in the second gold nanoparticle layer.

8. An integrated water condition monitoring device, characterized in that, include: A processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the integrated water situation detection method as described in claim 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the integrated water situation detection method as described in claim 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the integrated water situation detection method as described in claim 7.

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