Intelligent online liquid analysis system

Abstract

The application discloses an intelligent online liquid-phase analysis system, which comprises an optical sensing unit and an intelligent control and processing unit, the optical sensing unit is used for emitting a light beam to a sample liquid and collecting original light intensity signals of transmitted light and at least two angle scattering lights and an original light source intensity signal, the intelligent control and processing unit comprises a data acquisition module, a data preprocessing module, a multi-source data fusion inversion module, a system health state self-diagnosis module and an adaptive feedback control module, the data acquisition module is connected with the optical sensing unit and is used for receiving the original light intensity signals and the original light source intensity signal and converting them into digital signals.The application has the beneficial effects that the problems of isolated data processing, low intelligentization, and inability to identify non-sample factor interference in the prior art are solved, and the accuracy, reliability and long-term operation stability of online liquid-phase analysis are greatly improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent measurement technology, specifically to an intelligent online liquid phase analysis system. Background Technology

[0002] Liquid phase analysis technology is widely used in environmental monitoring, chemical pharmaceuticals, bio-fermentation and other fields. Online and real-time accurate measurement of parameters such as composition, concentration and turbidity of liquid samples is the key to ensuring the quality of production processes and products.

[0003] In the prior art, such as the patent document with publication number CN120385652A, a high-precision online liquid phase optical analyzer device is proposed, including a controller and sensors. The controller is equipped with a display screen and a control system. The sensors include a measuring cell body, a light source end assembly, a combined detection assembly for 12-degree scattered light and transmitted light, and a 90-degree scattered light detection assembly. By physically roughening and absorbing light through the knurled grooves and blackened light-absorbing coating on the inner wall of the measuring cell body, and by offsetting the 90-degree scattered light detection assembly by 3 to 30 millimeters, the intensity of reflection and diffuse reflection of incident light on the inner wall is significantly reduced, reducing background noise interference. Furthermore, by compensating the light source end, the purity of the transmitted and scattered signals is improved.

[0004] However, analysis systems that rely solely on physical structure optimization and basic signal compensation generally suffer from isolated data processing and low levels of intelligence, making it difficult to simultaneously and accurately acquire multiple attributes of a sample, resulting in low information utilization. Furthermore, the aforementioned analyzers lack intelligent diagnostic capabilities for their own operational status, failing to identify and warn of measurement deviations caused by non-sample factors such as window contamination, light source aging, and bubble interference, making it difficult to guarantee long-term operational stability and reliability.

[0005] Therefore, to address the aforementioned technical problems, it is necessary to provide an intelligent online liquid phase analysis system. Summary of the Invention

[0006] In view of the shortcomings of the prior art, the purpose of this invention is to provide an intelligent online liquid phase analysis system to solve the problems mentioned in the background art.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: This invention provides an intelligent online liquid chromatography analysis system, comprising an optical sensing unit and an intelligent control and processing unit. The optical sensing unit emits a light beam towards the sample liquid and acquires the original light intensity signals of transmitted light, scattered light at at least two angles, and the original light source intensity signal. The intelligent control and processing unit includes a data acquisition module, a data preprocessing module, a multi-source data fusion and inversion module, a system health status self-diagnosis module, and an adaptive feedback control module. The data acquisition module is connected to the optical sensing unit and receives the original light intensity signal and the original light source intensity signal, converting them into digital signals. The data preprocessing module is connected to the data acquisition module and performs filtering and normalization processing on the digital signals, and dynamically compensates for the light intensity signals of transmitted and scattered light in conjunction with the original light source intensity signal to eliminate the influence of light source fluctuations, thereby obtaining... The system comprises: a standardized light intensity characteristic data set; a multi-source data fusion and inversion module connected to the data preprocessing module, used to receive the standardized light intensity characteristic data set and, based on a built-in optical model, to perform data fusion and inversion to retrieve multi-dimensional analysis results including sample absorbance, turbidity, particle size distribution, and concentration; a system health status self-diagnosis module connected to both the data acquisition module and the data preprocessing module, used to monitor and analyze in real time the long-term attenuation trend of the original light source intensity signal and the baseline noise and drift of the standardized light intensity characteristic data, generating diagnostic information characterizing the system's operating status; and an adaptive feedback control module connected to both the multi-source data fusion and inversion module and the system health status self-diagnosis module, used to receive and output the multi-dimensional analysis results, and generate and execute corresponding control commands based on the diagnostic information to achieve adaptive closed-loop control of the system.

[0008] In one or more embodiments of the present invention, the optical sensing unit includes a measurement cell body, a light source end assembly, a transmission and small-angle scattered light combined detection assembly, and a scattered light detection assembly. The measurement cell body has a hollow cavity through which the sample liquid flows. The light source end assembly is disposed at one end of the measurement cell body and is used to generate and emit a light beam. It also has a light source intensity monitor inside, which is used to monitor and output the original light source intensity signal in real time. The transmission and small-angle scattered light combined detection assembly is disposed at the other end of the measurement cell body and is coaxial with the light source end assembly. It is used to simultaneously collect the transmitted light intensity signal after passing through the sample and the scattered light intensity signal at a 12-degree angle with the incident light. The scattered light detection assembly is disposed to the side of the measurement cell body, and its optical axis is offset from the incident light plane formed by the light source end assembly and the transmission and small-angle scattered light combined detection assembly. It is used to collect the scattered light intensity signal at a 90-degree angle with the incident light.

[0009] In one or more embodiments of the present invention, the data preprocessing module dynamically compensates for the intensity signals of transmitted and scattered light. The data preprocessing module receives the current original light source intensity signal and calculates the compensation coefficient by calling the stored light source reference intensity; wherein, the current original light source intensity signal is... The stored light source reference intensity is The compensation coefficient was calculated as follows: The received original transmitted light intensity signal, 12-degree scattered light intensity signal, and 90-degree scattered light intensity signal are multiplied by the compensation coefficient to obtain the standardized transmitted light intensity, 12-degree scattered light intensity, and 90-degree scattered light intensity, and these standardized data constitute the light intensity feature data set; wherein, the original transmitted light intensity signal is... The intensity signal of the 12-degree scattered light is The intensity signal of the light scattered at ninety degrees is The standardized transmitted light intensity is The intensity of the scattered light at twelve degrees is Ninety-degree scattered light intensity .

[0010] In one or more embodiments of the present invention, the built-in optical model includes an absorbance calculation model based on the Beer-Lambert law and a particle scattering model based on scattering theory.

[0011] In one or more embodiments of the present invention, the multi-source data fusion and inversion module derives multidimensional analysis results through data fusion and inversion; The multi-source data fusion and inversion module substitutes the standardized transmitted light intensity into the absorbance calculation model to calculate the absorbance and turbidity of the sample. Using the turbidity as an initial value, it combines the standardized 12-degree and 90-degree scattered light intensities and substitutes them into the particle scattering model for iterative calculation until the difference between the model output value and the 12-degree and 90-degree scattered light intensities is less than a preset threshold, thereby reversing the particle size distribution and corresponding particle concentration of the particles in the sample. The absorbance, turbidity, particle size distribution, and particle concentration are correlated and fused to generate the multidimensional analysis results.

[0012] In one or more embodiments of the present invention, the system health status self-diagnosis module continuously receives the original light source intensity signal and compares it with a preset light source lifetime threshold. When the intensity signal is consistently lower than the light source lifetime threshold, a diagnostic message for light source attenuation warning is generated. The system health status self-diagnosis module continuously analyzes the high-frequency noise level of the standardized 90-degree scattered light intensity. When the high-frequency noise level exceeds a preset bubble interference threshold, a diagnostic message for bubble interference identification is generated. The system health status self-diagnosis module continuously monitors the long-term baseline drift of the standardized transmitted light intensity. When the baseline drift exceeds a preset window contamination threshold, a diagnostic message recommending window contamination cleaning is generated.

[0013] In one or more embodiments of the present invention, the adaptive feedback control module executes control commands based on diagnostic information. When the adaptive feedback control module receives diagnostic information suggesting cleaning of the window slats due to contamination, it generates a start signal and sends it to an external automatic cleaning device to control the automatic cleaning device to perform cleaning operations on the window slats of the optical sensing unit.

[0014] In one or more embodiments of the present invention, the optical axis of the scattered light detection component is offset from the incident light plane by a distance of three to thirty millimeters.

[0015] In one or more embodiments of the present invention, the inner wall of the hollow cavity of the measuring cell body is provided with a knurled groove for reducing reflected light interference, and the surface of the knurled groove is covered with a black light-absorbing coating.

[0016] In one or more embodiments of the present invention, the intelligent control and processing unit further includes a human-machine interface, which is connected to the adaptive feedback control module and is used to display the multidimensional analysis results and the diagnostic information in real time, and to receive operation instructions input by the user.

[0017] The beneficial effects of this invention are: it can solve the problems of isolated data processing, low level of intelligence, and inability to identify interference from non-sample factors in the prior art, and greatly improve the accuracy, reliability and long-term stability of online liquid chromatography analysis. It can be widely used in industrial process control, environmental monitoring, bio-fermentation, chemical and pharmaceutical fields where the requirements for analytical accuracy and system reliability are extremely high, and has significant economic and social benefits. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art 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.

[0019] Figure 1 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 1 ; Figure 2 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 2 ; Figure 3 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 3 ; Figure 4 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 4 ; Figure 5 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 5 ; Figure 6 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 6 ; Figure 7 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 7 ; Figure 8 The following is a logical flow diagram of an intelligent online liquid phase analysis system in one embodiment of the present invention. Figure 8 . Detailed Implementation

[0020] 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.

[0021] Example 1: like Figures 1 to 6As shown in one embodiment of the present invention, an intelligent online liquid chromatography analysis system includes an optical sensing unit and an intelligent control and processing unit. The optical sensing unit emits a light beam towards the sample liquid flowing through the measurement cell and simultaneously acquires the original light intensity signals of transmitted light, scattered light at at least two angles, and the original light source intensity signal. The intelligent control and processing unit is responsible for signal reception, processing, analysis, and control. Internally, it includes a data acquisition module, a data preprocessing module, a multi-source data fusion and inversion module, a system health status self-diagnosis module, and an adaptive feedback control module. These modules are connected sequentially or communicate with each other to form a complete data flow and control loop.

[0022] Specifically, the data acquisition module is connected to each detector in the optical sensing unit to receive the raw light intensity signal and the raw light source intensity signal, and convert them into digital signals. The data preprocessing module is connected to the data acquisition module to filter and normalize the digital signals, and dynamically compensates for the transmitted and scattered light intensity signals by combining them with the raw light source intensity signal to eliminate the influence of light source fluctuations, obtaining a standardized set of light intensity characteristic data. The multi-source data fusion and inversion module is connected to the data preprocessing module, receives the standardized light intensity characteristic data set, and, based on the built-in optical model, performs data fusion and inversion to derive multi-dimensional analysis results including sample absorbance, turbidity, particle size distribution, and concentration. The system health status self-diagnosis module is connected to both the data acquisition module and the data preprocessing module, monitoring and analyzing in real time the long-term attenuation trend of the raw light source intensity signal and the baseline noise and drift of the standardized light intensity characteristic data, generating diagnostic information characterizing the system's operating status. The adaptive feedback control module is connected to both the multi-source data fusion and inversion module and the system health status self-diagnosis module, receiving and outputting multi-dimensional analysis results on one hand, and generating and executing corresponding control commands based on the diagnostic information on the other, realizing adaptive closed-loop control of the system.

[0023] In this embodiment, the optical sensing unit is designed as a multi-angle optical detection structure. Its core component is a measurement cell body, which has a hollow cavity for continuous flow or static residence of the sample liquid. To minimize stray light interference with the measurement, the inner wall of the hollow cavity is preferably machined with knurled grooves and coated with a black light-absorbing coating. The knurling diffuses light incident on the inner wall in all directions, while the black light-absorbing coating efficiently absorbs this diffused light, significantly reducing interference from reflected light on the main optical path and scattered light detection, creating a pure optical environment for accurate measurement.

[0024] At one end of the measuring cell, a light source assembly is installed. This assembly includes a broadband or specific wavelength light source, such as a halogen tungsten lamp, a light-emitting diode (LED), or a laser diode, the specific choice depending on the absorption and scattering characteristics of the sample under test. The light beam emitted by the light source is collimated and focused before entering the hollow cavity of the measuring cell along its axis. Specifically, the light source assembly also integrates a light source intensity monitor, such as a highly sensitive and stable photodiode. This monitor directly monitors the original light intensity output by the light source and outputs the corresponding original light source intensity signal in real time. This signal will be used for subsequent light source fluctuation compensation and light source lifetime diagnosis.

[0025] At the other end of the measurement cell, coaxial with the light source assembly, is a combined transmission and small-angle scattered light detection component. This component integrates two independent photodetectors: a transmission detector located in the central region, used to collect the intensity signal of transmitted light after it has directly passed through the sample liquid; and a 12-degree scattered light detector surrounding the transmission detector or located at a specific angle, used to collect the intensity signal of scattered light at a 12-degree angle to the incident light direction. The 12-degree small-angle scattering is highly sensitive to changes in the size of particles in the sample, especially for large particles larger than micrometers. Its signal intensity is strongly correlated with the particle size and is one of the key pieces of information for inverting particle size distribution.

[0026] A scattered light detection component is positioned to the side of the main measuring cell, with its optical axis offset from the incident light plane formed by the light source assembly and the combined transmission and small-angle scattered light detection component. This component is used to collect the intensity signal of scattered light at a 90-degree angle to the incident light. The 90-degree scattered light is mainly affected by scattering from microparticles (submicron and nanometer scale) and molecules, and is extremely sensitive to small particles and turbidity changes in the sample. To avoid direct interference from direct and transmitted light, the optical axis of the scattered light detection component needs to be offset from the incident light plane by a certain distance, preferably within the range of three to thirty millimeters. This spatial arrangement ensures that the collected signal mainly comes from the 90-degree scattered light of the sample, thus guaranteeing signal purity and accuracy. Through synchronous measurement of the above three detection channels, the optical sensing unit can simultaneously acquire the sample's light absorption information (transmitted light), small-angle scattered light information sensitive to large particles, and large-angle scattered light information sensitive to small particles and turbidity, providing rich basic data for subsequent multi-source data fusion.

[0027] The data acquisition module uses a multi-channel synchronous sampling analog-to-digital converter to synchronously convert the original analog signals (including the original light source intensity signal, transmitted light intensity signal, twelve-degree scattered light intensity signal, and ninety-degree scattered light intensity signal) output by the optical sensing unit into digital signals, ensuring the correspondence of each signal in time and laying the foundation for subsequent accurate processing.

[0028] After receiving these digital signals, the data preprocessing module first performs digital filtering, such as median filtering or low-pass filtering algorithms, to eliminate high-frequency electronic noise and random interference. Then, the most crucial step is executed—dynamic light source compensation. This module stores a reference light source intensity recorded after system factory calibration or each cleaning and maintenance. In actual operation, the module receives the current raw light source intensity signal in real time and calculates a compensation coefficient, which is equal to the reference light source intensity divided by the current raw light source intensity. Then, the received raw transmitted light intensity signal, 12-degree scattered light intensity signal, and 90-degree scattered light intensity signal are multiplied by this compensation coefficient to obtain the standardized transmitted light intensity, 12-degree scattered light intensity, and 90-degree scattered light intensity. These three standardized data together constitute a set of standardized light intensity characteristic data. Through this dynamic compensation, even if the light source intensity changes due to aging, temperature variations, or power supply fluctuations, the standardized data can accurately reflect the changes in the optical properties of the sample itself, eliminating the interference factor of light source fluctuations.

[0029] Among them, the current original light source intensity signal is The stored light source reference intensity is The compensation coefficient was calculated as follows: ; The multi-source data fusion and inversion module has built-in optical models based on optical theory, mainly including an absorbance calculation model based on the Beer-Lambert law and a particle scattering model based on scattering theory (such as Mie scattering theory).

[0030] Specifically, the process begins by substituting the standardized transmitted light intensity into the absorbance calculation model. The absorbance of the sample is calculated using the Beer-Lambert law. Simultaneously, the turbidity of the sample is calculated based on the attenuation of the transmitted light and the calibration curve, serving as a preliminary turbidity estimate. Then, the turbidity calculated in the previous step is used as an initial value, combined with the standardized 12-degree and 90-degree scattered light intensities, and substituted into the particle scattering model. This model can forward calculate the expected small-angle and 90-degree scattered light intensities under given particle concentration and size distribution. The multi-source data fusion and inversion module employs an iterative optimization algorithm (such as nonlinear least squares) to continuously adjust the particle size distribution parameters (such as average particle size and distribution width) and corresponding particle concentration in the model, minimizing the difference between the calculated scattered light intensity and the actual measured value. The iteration stops when this difference is less than a preset convergence threshold. At this point, the particle size distribution and particle concentration corresponding to the model are the inversion results. Finally, the module integrates and fuses information such as absorbance, turbidity, particle size distribution, and particle concentration to generate a comprehensive multidimensional analysis result. This result provides users with far more information than traditional single-parameter analyzers, helping to gain a deeper understanding of the properties and changes in the sample.

[0031] Among them, the original transmitted light intensity signal is The intensity signal of the 12-degree scattered light is The intensity signal of the light scattered at ninety degrees is The standardized transmitted light intensity is The intensity of the scattered light at twelve degrees is Ninety-degree scattered light intensity .

[0032] like Figures 1 to 8 As shown, the system health status self-diagnosis module continuously monitors and analyzes the system's health status. It acquires the raw light source intensity signal from the data acquisition module and compares it with a preset light source lifespan threshold. When the raw light source intensity consistently falls below this threshold, it indicates that the light source is deeply aged and about to fail, and the module generates a diagnostic message for light source attenuation warning. Simultaneously, the module acquires the standardized 90-degree scattered light intensity from the data preprocessing module and analyzes its high-frequency noise level. When air bubbles are present in the sample, their rapid movement causes violent and rapid fluctuations in the scattered light signal, manifesting as a significant increase in high-frequency noise. If this noise level exceeds a preset bubble interference threshold, the module generates diagnostic information for bubble interference identification, used to mark data validity or remind the user to check the flow path. Furthermore, the module also monitors the long-term baseline drift of the standardized transmitted light intensity. When measuring stable clean water, if the transmitted light intensity shows a slow but continuous decreasing trend that cannot be explained by light source attenuation or sample changes, it can be inferred that contaminants are gradually accumulating on the optical window. When the accumulated drift exceeds a preset window contamination threshold, the module generates a diagnostic message recommending window cleaning. Through these multi-dimensional real-time monitoring and analysis, the module can effectively identify measurement deviations caused by non-sample factors, ensuring the reliability of the system.

[0033] The adaptive feedback control module receives multidimensional analysis results from the multi-source data fusion and inversion module and outputs them to a host computer, distributed control system, or human-machine interface. Simultaneously, based on diagnostic information generated by the system health status self-diagnosis module, it generates and executes corresponding control commands. For example, when receiving diagnostic information suggesting window cleaning due to contamination, the adaptive feedback control module generates a start signal, sends it to an external automatic cleaning device, and controls the device to clean the window of the optical sensing unit, thereby restoring light transmittance and ensuring the accuracy of measurement data. For light source attenuation warnings, the module can generate alarm information to remind operators to prepare for light source replacement; for bubble interference identification, it can mark the data for that period as invalid or suspicious when displaying data, preventing users from making incorrect judgments based on interfered data. Thus, the system achieves adaptive closed-loop control, greatly improving the level of intelligent operation.

[0034] Example 2: like Figures 6 to 8As shown, the intelligent control and processing unit also includes a human-machine interface, such as an industrial panel PC with a touchscreen. This interface connects to the adaptive feedback control module and is used to display multidimensional analysis results in real time, such as absorbance, turbidity, particle size distribution curves, and particle concentration. In addition, the industrial panel PC also displays system health status diagnostic information, such as normal light source lifespan, good window cleanliness, and bubble interference. Simultaneously, it also receives various operation commands input by the user, such as modifying measurement parameters, setting alarm thresholds, starting manual cleaning programs, and performing system calibration, providing the user with a user-friendly and convenient system interaction window.

[0035] Example 3: like Figures 1 to 8 As shown, the knurled cutting grooves and black light-absorbing coating on the inner wall of the hollow cavity of the measuring cell not only reduce the interference of reflected light, but also prevent bubbles from adhering to the wall surface to a certain extent, because the rough surface helps the bubbles to detach, thereby further reducing the impact of bubbles on the measurement.

[0036] In the layout of the scattered light detection component, the distance between its optical axis and the incident light plane is preferably three to thirty millimeters, and the specific value can be optimized according to the size of the measurement cell and the characteristics of the sample. For example, for high-turbidity samples, a larger offset distance may be needed to avoid interference from transmitted light; for low-turbidity samples, a smaller offset distance can also obtain a sufficient signal-to-noise ratio.

[0037] Compared with existing technologies, the intelligent online liquid chromatography analysis system provided by this invention acquires more comprehensive sample optical information through a multi-angle optical sensing unit design. Through layer-by-layer data processing, fusion inversion, health self-diagnosis, and adaptive control in the intelligent control and processing unit, it not only achieves accurate and simultaneous measurement of multiple attributes of the sample, such as absorbance, turbidity, particle size distribution, and concentration, but also endows the system with self-monitoring, self-diagnosis, and self-maintenance capabilities. This system effectively solves the problems of isolated data processing, low level of intelligence, and inability to identify interference from non-sample factors in existing technologies. It greatly improves the accuracy, reliability, and long-term operational stability of online liquid chromatography analysis, and can be widely applied in fields such as industrial process control, environmental monitoring, bio-fermentation, and chemical pharmaceuticals where high analytical precision and system reliability are required, resulting in significant economic and social benefits.

[0038] Obviously, the above-described embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention also intends to include these modifications and variations.

Claims

1. An intelligent online liquid chromatography analysis system, characterized in that, It includes an optical sensing unit and an intelligent control and processing unit. The optical sensing unit is used to emit a light beam towards the sample liquid and collect the original light intensity signals of transmitted light, scattered light at at least two angles, and the original light source intensity signal. The intelligent control and processing unit includes: A data acquisition module, which is connected to the optical sensing unit, is used to receive the original light intensity signal and the original light source intensity signal, and convert them into digital signals. A data preprocessing module, connected to the data acquisition module, is used to filter and normalize the digital signal, and to dynamically compensate the light intensity signals of transmitted and scattered light in combination with the original light source intensity signal to eliminate the influence of light source fluctuations and obtain a standardized light intensity feature data set. A multi-source data fusion and inversion module is connected to the data preprocessing module. It is used to receive the standardized light intensity characteristic data set and, based on the built-in optical model, to perform multi-dimensional analysis results including sample absorbance, turbidity, particle size distribution, and concentration through data fusion and inversion. The system health status self-diagnosis module is connected to the data acquisition module and the data preprocessing module respectively. It is used to monitor and analyze the long-term attenuation trend of the original light source intensity signal and the baseline noise and drift of the standardized light intensity characteristic data in real time, and generate diagnostic information characterizing the system operating status. An adaptive feedback control module is connected to both the multi-source data fusion and inversion module and the system health status self-diagnosis module. It is used to receive and output the multi-dimensional analysis results, and generate and execute corresponding control commands based on the diagnostic information to realize the adaptive closed-loop control of the system.

2. The intelligent online liquid phase analysis system as described in claim 1, characterized in that, The optical sensing unit includes: The main body of the measuring cell has a hollow cavity inside for the sample liquid to flow through; The light source end assembly is located at one end of the measuring cell body and is used to generate and emit a light beam. It also has a light source intensity monitor inside, which is used to monitor and output the original light source intensity signal in real time. A combined transmission and small-angle scattered light detection component is provided, which is located at the other end of the main body of the measuring cell and is coaxial with the light source component. It is used to simultaneously collect the intensity signal of the transmitted light after passing through the sample and the intensity signal of the scattered light at a 12-degree angle to the incident light. A scattered light detection component is disposed on the side of the main body of the measuring cell, and its optical axis is offset from the incident light plane formed by the light source end component and the transmission and small-angle scattered light combined detection component, for collecting the scattered light intensity signal at a 90-degree angle to the incident light.

3. The intelligent online liquid phase analysis system as described in claim 2, characterized in that, The data preprocessing module dynamically compensates for the intensity signals of transmitted and scattered light. The data preprocessing module receives the current raw light source intensity signal and uses the stored light source reference intensity to calculate the compensation coefficient. Among them, the current original light source intensity signal is The stored light source reference intensity is The compensation coefficient was calculated as follows: ; The received original transmitted light intensity signal, 12-degree scattered light intensity signal, and 90-degree scattered light intensity signal are multiplied by the compensation coefficient to obtain the standardized transmitted light intensity, 12-degree scattered light intensity, and 90-degree scattered light intensity, and these standardized data constitute the light intensity feature data group. Among them, the original transmitted light intensity signal is The intensity signal of the 12-degree scattered light is The intensity signal of the light scattered at ninety degrees is The standardized transmitted light intensity is The intensity of the scattered light at twelve degrees is Ninety-degree scattered light intensity .

4. The intelligent online liquid phase analysis system as described in claim 3, characterized in that, The built-in optical models include an absorbance calculation model based on the Beer-Lambert law and a particle scattering model based on scattering theory.

5. The intelligent online liquid phase analysis system as described in claim 4, characterized in that, The multi-source data fusion and inversion module retrieves multi-dimensional analysis results through data fusion and inversion. The multi-source data fusion and inversion module substitutes the standardized transmitted light intensity into the absorbance calculation model to calculate the absorbance and turbidity of the sample. Using the turbidity as the initial value, combined with the standardized 12-degree and 90-degree scattered light intensities, the particle scattering model is substituted into iterative calculations until the difference between the model output value and the 12-degree and 90-degree scattered light intensities is less than a preset threshold, thereby retrieving the particle size distribution and corresponding particle concentration of the particles in the sample. The absorbance, turbidity, particle size distribution, and particle concentration are correlated and fused to generate the multidimensional analysis results.

6. The intelligent online liquid phase analysis system as described in claim 3, characterized in that, The system health status self-diagnosis module continuously receives the original light source intensity signal and compares it with a preset light source lifespan threshold. When it is continuously lower than the light source lifespan threshold, it generates diagnostic information for light source attenuation warning. The system health status self-diagnosis module continuously analyzes the high-frequency noise level of the standardized 90-degree scattered light intensity. When the high-frequency noise level exceeds the preset bubble interference threshold, it generates diagnostic information for bubble interference identification. The system health status self-diagnosis module continuously monitors the long-term baseline drift of the standardized transmitted light intensity. When the baseline drift exceeds the preset window contamination threshold, it generates diagnostic information suggesting window contamination cleaning.

7. The intelligent online liquid phase analysis system as described in claim 6, characterized in that, The adaptive feedback control module executes control commands based on diagnostic information. When the adaptive feedback control module receives diagnostic information suggesting cleaning of the window pane due to contamination, it generates a start signal and sends it to an external automatic cleaning device to control the automatic cleaning device to perform cleaning operations on the window pane of the optical sensing unit.

8. The intelligent online liquid phase analysis system as described in claim 2, characterized in that, The optical axis of the scattered light detection component is offset from the incident light plane by a distance of three to thirty millimeters.

9. The intelligent online liquid phase analysis system as described in claim 2, characterized in that, The hollow cavity of the measuring cell body is provided with knurled grooves on its inner wall to reduce interference from reflected light, and the surface of the knurled grooves is covered with a black light-absorbing coating.

10. The intelligent online liquid phase analysis system as described in claim 1, characterized in that, The intelligent control and processing unit also includes a human-machine interface, which is connected to the adaptive feedback control module and is used to display the multidimensional analysis results and diagnostic information in real time, and to receive operation commands input by the user.

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