Dynamic bubble monitoring device based on optical fiber and calibration method and bubble behavior evaluation method thereof

Abstract

The invention discloses a dynamic bubble monitoring device based on an optical fiber and a calibration method and a bubble behavior evaluation method thereof, and the device comprises a light source which is used for emitting detection light; the optical fiber sensor is arranged in a bubble environment and is used for receiving the detection light emitted by the light source and transmitting signal light modulated by bubbles to the signal processing unit; the signal processing unit is used for processing the signal light transmitted by the optical fiber sensor and extracting bubble behavior parameters; the calibration unit is used for calibrating the optical fiber sensor; the evaluation unit is used for calculating evaluation indexes of bubble behaviors according to the bubble behavior parameters extracted by the signal processing unit; and the evaluation unit calculates a release factor R as an evaluation index of the bubble behavior. The invention provides a bubble behavior monitoring device which is high in precision, real-time and suitable for various industrial scenes so as to improve the precision, efficiency and applicability of bubble behavior monitoring.

Description

Technical Field

[0001] The invention belongs to the technical field of electrochemical monitoring, and in particular relates to an optical fiber-based dynamic bubble monitoring device and a calibration method and a bubble behavior evaluation method thereof. Background Art

[0002] In modern industrial production, especially in the fields of chemical, pharmaceutical and energy conversion, the monitoring of bubble behavior is of great significance for optimizing process flow, improving production efficiency and ensuring safe operation of equipment. In chemical production, the generation and release behavior of bubbles directly affect the reaction efficiency and product quality. In the pharmaceutical process, the presence of bubbles may lead to uneven reaction and reduced product quality. In energy conversion equipment, the generation and release behavior of bubbles can affect the operating efficiency and safety of the equipment.

[0003] Bubble behavior is usually described by parameters such as bubble generation rate, size distribution, and detachment frequency. Accurate measurement of these parameters is crucial to optimizing equipment performance and improving production efficiency. However, existing bubble behavior monitoring technologies have many limitations, which restrict the accurate and efficient measurement of these parameters. At present, the monitoring methods of bubble behavior mainly include optical imaging technology, acoustic detection technology, and electrochemical sensors. Although optical imaging technology can provide intuitive bubble images, it requires a lot of computing resources and is difficult to achieve real-time monitoring. Although acoustic detection technology has the advantages of non-contact and real-time monitoring, the measurement accuracy of bubble size is low. Although electrochemical sensors have a fast response speed, they are easily interfered by chemical substances and have low measurement accuracy.

[0004] For example, although the application of existing optical imaging technology in bubble detection can provide high-resolution bubble images, in industrial environments, due to unstable light conditions and interference from background noise, the complexity of image processing and the computational overhead increase significantly, making it difficult to achieve fast, real-time monitoring of bubble behavior. For another example, although the application of acoustic detection technology in bubble detection can achieve non-contact monitoring, in complex industrial environments, the reflection and scattering of sound waves are serious, resulting in reduced measurement accuracy and the inability to accurately distinguish bubble signals from background noise, limiting its application in high-precision monitoring.

[0005] Although some progress has been made in the application of optical imaging technology and acoustic detection technology in the field of bubble detection, limited by the complexity of the industrial environment and the diversity of bubble behavior, there is no parameter that can accurately represent the bubble behavior in the industrial production process. As a result, in industrial production, people usually only pay attention to basic process parameters such as temperature and pressure, while ignoring the adverse effects of bubble behavior on the production process. Therefore, it is crucial to develop a system that can monitor bubble behavior in industrial production in real time and with high precision. Summary of the invention

[0006] The present invention aims to solve one of the technical problems existing in the related art at least to a certain extent.

[0007] An object of the present invention is to provide a dynamic bubble monitoring device based on optical fiber to improve the accuracy, efficiency and applicability of bubble behavior monitoring.

[0008] Another object of the present invention is to provide a calibration method for a dynamic bubble monitoring device based on optical fiber.

[0009] Another object of the present invention is to provide a method for evaluating bubble behavior.

[0010] In order to achieve the above-mentioned object, the present invention provides, on one hand, a dynamic bubble monitoring device based on optical fiber, comprising:

[0011] A light source, used for emitting detection light;

[0012] An optical fiber sensor is placed in the bubble environment, and is used to receive the detection light emitted by the light source, and transmit the signal light modulated by the bubble to the signal processing unit;

[0013] A signal processing unit, used for processing the signal light transmitted by the optical fiber sensor and extracting bubble behavior parameters;

[0014] A calibration unit, used for calibrating the optical fiber sensor;

[0015] An evaluation unit, configured to calculate an evaluation index of the bubble behavior according to the bubble behavior parameters extracted by the signal processing unit;

[0016] The optical fiber sensor is a wavelength modulation sensor or a phase modulation sensor, the calibration unit is calibrated by a liquid level calibration method, and the evaluation unit calculates a release factor R as an evaluation index of the bubble behavior.

[0017] A further preferred technical solution of the present invention is that the light source and the optical fiber sensor are combined with a spectrum analyzer and a host computer to form an optical path measurement system, and the optical path measurement system is one of a transmission type, a reflection type or an interference type measurement system.

[0018] Preferably, the light source is an amplified spontaneous emission broadband light source or a tunable laser.

[0019] Preferably, the signal processing unit comprises a filtering module, a conversion module and a differentiation module, the filtering module is used to filter noise in the signal, the conversion module is used to convert the signal into the size of the bubble, and the differentiation module is used to calculate the differential of the time-varying bubble size with respect to time.

[0020] Preferably, the signal processing unit further comprises a result output module for outputting and displaying the calculated release factor R.

[0021] Another aspect of the present invention provides a calibration method for a dynamic bubble monitoring device based on optical fiber, comprising the following steps:

[0022] Place the optical fiber sensor vertically in a transparent container with a height scale;

[0023] Continuously changing the liquid level of the liquid to be measured in the transparent container so that it can immerse optical fiber sensors of different lengths;

[0024] Read a series of lengths Δl of the liquid to be tested that immerse the sensor, and record the center wavelength drift value Δλ of the signal light spectrum at this time;

[0025] Through function fitting, the calibration relationship function f(Δλ) between the bubble coverage Δl / L and the center wavelength drift value Δλ is obtained, which is expressed as:

[0026] Δl / L=f(Δλ);

[0027] Where L is the total length of the optical fiber sensor.

[0028] In another aspect, the present invention provides a method for evaluating bubble behavior, comprising the following steps:

[0029] The timing signals related to bubbles are continuously obtained through a dynamic bubble monitoring device based on optical fiber;

[0030] The obtained time series signal is input into a signal processing unit to extract the growth rate, size and detachment rate parameters of the bubble;

[0031] The release factor R is calculated by the evaluation unit, and the release factor R calculation formula is:

[0032]

[0033] or:

[0034]

[0035] Among them, T ob is the measurement time, L is the length of the sensitive area of ​​the optical fiber sensor, Δt is the sampling interval, ΔI(t) and Δλ(t) represent the differential intensity and differential wavelength measured by the intensity demodulation and wavelength demodulation systems, respectively, and f I and f + represent the calibration functions of the intensity demodulation and wavelength demodulation systems respectively, and They represent the time differential of the bubble coverage in the intensity demodulation and wavelength demodulation systems, respectively, and the sum symbol Σ represents the time differential of the bubble coverage in the time period T obThe sum of all bubble detachment events in N 3 is the number of negative differentials during this period, i.e., the number of observed bubble detachments;

[0036] The quality of the bubble behavior is evaluated based on the calculated release factor R.

[0037] Preferably, the method for obtaining the bubble growth rate, size and detachment rate parameters is as follows:

[0038] The central wavelength drift Δλ(t) is measured and obtained, and the dynamic bubble coverage is calculated by the calibration function; the bubble dynamics parameters including the bubble growth rate, size and detachment rate are calculated according to the dynamic bubble coverage;

[0039] The bubble generation rate is the slope of the rising segment at the beginning of the dynamic bubble coverage, expressed as:

[0040]

[0041] The bubble detachment rate is the number of bubble detachments per unit time and unit length. The bubble detachment event is indicated by the falling segment of the dynamic bubble coverage, which is expressed as:

[0042]

[0043] Bubble size refers to the size of the detached bubble, which represents the maximum size of the bubble attached to the solid surface. The calculation method is:

[0044] Bubble size = bubble coverage reduction × sensing area length.

[0045] The optical fiber-based dynamic bubble monitoring device and its calibration method and bubble behavior evaluation method of the present invention have the following significant technical effects:

[0046] 1. High-precision measurement:

[0047] Wavelength modulation or phase modulation optical fiber sensors are used. These sensors belong to the absolute measurement mode and are not affected by light source power fluctuations and optical path losses, ensuring high accuracy and stability of the measurement.

[0048] The calibration is carried out by liquid level calibration method. The calibration process is simple and fast. The sensor calibration can be completed quickly in different environments, which improves the efficiency and accuracy of calibration and ensures the reliability of the measurement results.

[0049] 2. Real-time monitoring:

[0050] The signal processing unit can process the signal light transmitted by the optical fiber sensor in real time, extract parameters such as the growth rate, size and detachment rate of the bubble, and realize real-time monitoring of the bubble behavior.

[0051] The evaluation unit can calculate the release factor R in real time based on the extracted bubble behavior parameters, and provide timely feedback on the quality of bubble behavior, providing real-time data support for process optimization and equipment maintenance.

[0052] 3. Multi-scenario applicability:

[0053] The monitoring device of the present invention is flexibly designed and is applicable to a variety of bubble generation environments, including hydrogen production electrolyzers, oil pipelines, submarine natural gas pipelines, etc., thereby improving the versatility and applicability of the device.

[0054] By designing a variety of optical path arrangements (reflection, transmission, and interference), it can adapt to different measurement needs and application scenarios, ensuring stable operation in various complex environments.

[0055] 4. Intelligent analysis:

[0056] The evaluation unit integrates multiple parameters of bubble behavior into a single evaluation index by calculating the release factor R, thereby realizing the comparison and evaluation of bubble behavior in different electrolyzers and under different operating conditions.

[0057] The evaluation unit can also compare the calculated release factor R with the preset threshold value, and output an evaluation report on the bubble behavior based on the comparison result, providing a scientific basis for process optimization and equipment maintenance.

[0058] 5. Automatic calibration:

[0059] The calibration unit adopts the liquid level calibration method. By continuously changing the liquid level height, recording the center wavelength drift value of the signal spectrum, and fitting the calibration relationship function, fast and convenient sensor calibration is achieved.

[0060] The calibration process is automated, which reduces manual intervention, improves the efficiency and accuracy of calibration, and ensures the reliability of measurement results.

[0061] 6. High cost-effectiveness:

[0062] The monitoring device of the present invention adopts optical fiber sensing technology, has low cost, high sensitivity, good stability, and is suitable for large-scale application.

[0063] The calibration method is simple and quick, which reduces calibration time and cost and improves the economy and practicality of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 Schematic diagram of the structure of the reflective measurement system in Example 1.

[0065] Figure 2 Schematic diagram of the structure of the transmission measurement system in Example 1.

[0066] Figure 3 Schematic diagram of the structure of the interferometric (Mach-Zehnder) measurement system in Example 1.

[0067] Figure 4 Schematic diagram of the structure of the interferometric (Michelson) measurement system of Example 1.

[0068] Figure 5 This is the principle diagram of the liquid level calibration method in Example 2.

[0069] Figure 6 This is a statistical diagram of the dynamic parameters of bubble evolution obtained in Example 2.

[0070] Figure 7 Flow chart of the evaluation method in Example 3.

[0071] Figure 8 This is a fitting curve diagram of the release factor R calculated in Example 3 and the performance of the electrolytic cell. DETAILED DESCRIPTION

[0072] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0073] Combine the following Figure 1-Figure 8 The invention describes an optical fiber-based dynamic bubble monitoring device and a calibration method and a bubble behavior evaluation method thereof.

[0074] Embodiment 1: This embodiment provides a dynamic bubble monitoring device based on optical fiber, including: an optical path part and a circuit part.

[0075] The optical path includes a light source, a fiber optic sensor, a spectrum analyzer, a host computer, a single-mode optical fiber, a circulator, a coupler and a reflector.

[0076] Light source options include, but are not limited to: amplified spontaneous emission (ASE) broadband light sources, tunable lasers (such as swept lasers).

[0077] Optical fiber sensor options include, but are not limited to: wavelength modulation sensors, phase modulation sensors.

[0078] Reflector options include but are not limited to: reflectors, toroidal mirrors, and fiber Bragg gratings.

[0079] The circuit part includes a signal processing unit for processing the signal light transmitted by the optical fiber sensor and extracting bubble behavior parameters;

[0080] An evaluation unit, configured to calculate an evaluation index of the bubble behavior according to the bubble behavior parameters extracted by the signal processing unit;

[0081] The optical fiber sensor is placed in the bubble environment, and is used to receive the detection light emitted by the light source, and transmit the signal light modulated by the bubble to the signal processing unit; the evaluation unit calculates the release factor R as an evaluation index of the bubble behavior.

[0082] In addition, it also includes a calibration unit for calibrating the optical fiber sensor.

[0083] The optical path part selects one of the transmission, reflection or interference measurement systems according to the measurement principle.

[0084] Reflective: Figure 1 As shown in the figure, the light source emits detection light, the detection light is input into the entrance of the circulator, the detection light is output from the next exit of the circulator, and the detection light is input into the fiber sensor through the single-mode optical fiber. The fiber sensor is placed in a bubble environment (such as an electrolytic cell). The detection light in the fiber sensor is modulated by the bubbles to generate signal light with a changed wavelength. The signal light is transmitted from the other end of the fiber sensor into another section of single-mode optical fiber, and is returned by the reflector, and enters the spectrum analyzer through the next output port of the circulator. The spectrum analyzer transmits the data of the signal light to the host computer.

[0085] Transmission type: Figure 2 As shown in the figure, the light source emits detection light, which is input into the fiber optic sensor through the single-mode optical fiber. The fiber optic sensor is placed in a bubble environment (such as an electrolytic cell). The detection light in the fiber optic sensor is modulated by the bubbles to generate signal light with a changed wavelength. The signal light is transmitted from the other end of the fiber optic sensor into another section of single-mode optical fiber and enters the spectrum analyzer. The spectrum analyzer transmits the data of the signal light to the host computer.

[0086] Interference (Mach-Zehnder): Figure 3 As shown in the figure, the light source emits detection light, which is input into the entrance of 1:1 coupler A. The detection light is output from the two exits of coupler A, one of which is input into the fiber sensor through the single-mode fiber, and the other is input into the single-mode fiber as the reference fiber. The fiber sensor is placed in a bubble environment (such as an electrolytic cell), and the detection light in the fiber sensor is modulated by the bubble to generate a signal light with a phase change. The signal light is transmitted from the other end of the fiber sensor into another section of single-mode fiber, and is input into coupler B together with the detection light in the reference fiber. The light after beam combination by coupler B is output to the spectrum analyzer, and the spectrum analyzer transmits the data of the signal light to the host computer.

[0087] Interference (Michelson): Figure 4 As shown, the light source emits detection light, which is input into the entrance of 1:1 coupler A. The detection light is output from the two exits of coupler A, one of which is input into the fiber sensor through the single-mode fiber, and the other is input into the single-mode fiber as the reference fiber. The fiber sensor is placed in a bubble environment (such as an electrolytic cell), and the detection light in the fiber sensor is modulated by the bubble to generate a signal light with a phase change. The signal light is transmitted from the other end of the fiber sensor into another single-mode fiber. Both the signal light and the detection light in the reference fiber are returned to coupler A through the reflector. The light after beam combination by coupler B is output to the spectrum analyzer, and the spectrum analyzer transmits the data of the signal light to the host computer.

[0088] Working process and principle:

[0089] The optical fiber sensor is buried in the electrolytic cell. The light emitted by the light source passes through the sensor and returns to the optical receiver. The signal processor analyzes and processes the optical signal to obtain the required data. The optical system is controlled by the host computer.

[0090] Sensor calibration: Use liquid level calibration method. Continuously change the liquid level and continuously collect sensor signals. Obtain sensor signal data and corresponding height data at different times, and fit these data with a function. The obtained function can be used for bubble measurement. Detailed description is given in Example 2.

[0091] Example 2: A calibration method for a dynamic bubble monitoring device based on optical fiber.

[0092] During calibration, prepare one of the four measurement systems in Example 1, a transparent container with a height scale, and a liquid to be measured.

[0093] like Figure 5 As shown, the optical fiber sensor of the measurement system is placed vertically in a transparent container. Reflection or interference (Michelson) does not require an optical fiber loop, while transmission or interference (Mach-Zehnder) requires an optical fiber loop. Change the liquid level of the liquid to be measured in the transparent container so that it immerses optical fiber sensors of different lengths. Read a series of lengths Δl of the liquid to be measured that immerse the sensor, and record the center wavelength drift value Δλ of the signal light spectrum at this time. The total length of the optical fiber sensor is L. Through function fitting, the calibration relationship function of the air coverage rate Δl / L and the center wavelength drift value Δλ is obtained, that is, the calibration relationship function f(Δλ) of the bubble coverage rate Δl / L and the center wavelength drift value Δλ, which is expressed as:

[0094] Δl / L=f(Δλ).

[0095] Acquisition of dynamic parameters of bubble evolution: The central wavelength drift Δλ(t) measured by the measurement system changes with time, and the dynamic bubble coverage is calculated through the calibration function.

[0096] According to the dynamic bubble coverage, the bubble generation rate, detachment rate and bubble size can be calculated.

[0097] The bubble generation rate is the slope of the rising segment at the beginning of the dynamic bubble coverage, expressed as:

[0098]

[0099] For example: Figure 6 In the experiment, bubble coverage (rising section) = 85.6%, Δt (rising section) = 50s, generation rate = 1.7%-1s -1 .

[0100] The bubble detachment rate is the number of bubble detachments per unit time and unit length. The bubble detachment event is indicated by the falling segment of the dynamic bubble coverage, which is expressed as:

[0101]

[0102] For example: Figure 6 In the experiment, the observation time was 300s, the sensing area length was 10mm, and the number of bubble detachments was observed to be 8 times, and the detachment rate was 0.00267s. -1 mm -1 .

[0103] Bubble size refers to the size of the detached bubble, which represents the maximum size of the bubble attached to the solid surface. The calculation method is:

[0104] Bubble size = bubble coverage reduction × sensing area length.

[0105] For example: Figure 6 In the figure, the bubble coverage reduction (descending section) is ≈17%, the sensing area length is 10 mm, and the bubble size is 1.7 mm.

[0106] Example 3: A method for evaluating bubble behavior.

[0107] The evaluation method is based on the device of Example 1, continuously obtains the time series signal related to the bubbles in the electrolytic cell, and proposes a signal calculation method. The obtained signal is output as a single parameter, the release factor R. R can measure the behavior of the bubbles.

[0108] The evaluation method relies on system modules such as Figure 7 As shown, including:

[0109] Signal input module: The signal obtained by the device of Example 1 is input to the signal processing / calculation module.

[0110] Signal processing / computation module: processes signals and interprets them into understandable results through calculations.

[0111] Filter unit: Filters the noise in the signal through noise reduction algorithm.

[0112] Conversion unit: The signal is converted into the size of the bubble by using the calibration function of Example 2.

[0113] Differentiation unit: Calculates the time-varying bubble size differential with respect to time. The differential result has both positive and negative values, and each negative value represents a bubble detachment event.

[0114] Calculation R unit: Calculate the square of the number of negative values ​​in the differential result within a measurement period, divide it by the sum of the absolute values ​​of the negative differential values ​​within this period, and then divide it by the length of this period. The result is called the release factor R of the bubbles in the electrolytic cell during this period.

[0115] Result output module: displays the calculated R.

[0116] It is thus determined that the steps of the evaluation method are:

[0117] The timing signals related to bubbles are continuously obtained through a dynamic bubble monitoring device based on optical fiber;

[0118] The obtained time series signal is input into a signal processing unit to extract the growth rate, size and detachment rate parameters of the bubble;

[0119] The release factor R is calculated by the evaluation unit, and the release factor R calculation formula is:

[0120]

[0121] or:

[0122]

[0123] Among them, T ob is the measurement time, L is the length of the sensitive area of ​​the optical fiber sensor, Δt is the sampling interval, ΔI(t) and Δλ(t) represent the differential intensity and differential wavelength measured by the intensity demodulation and wavelength demodulation systems, respectively, and f I and f λ represent the calibration functions of the intensity demodulation and wavelength demodulation systems respectively, so f I (ΔI) and f λ (Δλ) represents the bubble coverage, and They represent the time differential of the bubble coverage in the intensity demodulation and wavelength demodulation systems, respectively, and the sum symbol Σ represents the time differential of the bubble coverage in the time period T ob The sum of all bubble detachment events in N 3 It is the number of negative differentials during this period, that is, the number of bubble detachments observed.

[0124] The quality of the bubble behavior is evaluated based on the calculated release factor R. Figure 8 As shown, the calculated release factor R has a very good correlation with the performance of the electrolyzer (voltage efficiency), indicating that the evaluation method is effective.

[0125] The principle used by the evaluation method of this embodiment is described as follows:

[0126] The bubble release factor (R factor) is a parameter that measures the dynamic behavior of bubbles based on optical fiber signals. The larger the R factor, the higher the bubble release efficiency.

[0127]

[0128] in The product of the length of the optical fiber sensitive area and the decrease in the bubble coverage is the size of the detached bubble. Considering that the size of the detached bubble in the actual measurement is not uniform, it is necessary to average multiple observations. Therefore, the R factor can be rewritten as

[0129]

[0130] For example, based on the intensity demodulation type fiber optic sensor, a sudden drop in the differential intensity (ΔI) of the spectrum indicates a bubble detachment event. After calibration, the size of the detached bubble can be calculated based on the drop in ΔI. Specifically, if f I is the scaling function of the intensity demodulation system, and its derivative with respect to time df I (ΔI(t)) / dt can quantitatively represent the bubble dynamics. A negative derivative indicates bubble detachment, and the corresponding amplitude can be used to calculate the bubble size. This analysis is also applicable to wavelength demodulation fiber optic sensing systems.

[0131] "Good" bubble behavior is characterized by smaller bubble size and higher detachment probability (ρ). We define a higher R factor to represent better bubble behavior. Thus, R is inversely proportional to the bubble size and directly proportional to the detachment probability (∝ρ). Note that the inverse of the bubble size is the density of bubble detachment sites. The detachment probability ρ is the number of observed bubble detachments (N 3 ) divided by the total number of samplings during the observation period. The total number of samplings is T ob Divide by the time interval between each sampling (Δt).

[0132] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0133] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic bubble monitoring device based on optical fiber, characterized in that: include: A light source, used for emitting detection light; An optical fiber sensor is placed in the bubble environment, and is used to receive the detection light emitted by the light source, and transmit the signal light modulated by the bubble to the signal processing unit; A signal processing unit, used for processing the signal light transmitted by the optical fiber sensor and extracting bubble behavior parameters; A calibration unit, used for calibrating the optical fiber sensor; An evaluation unit, configured to calculate an evaluation index of the bubble behavior according to the bubble behavior parameters extracted by the signal processing unit; The optical fiber sensor is a wavelength modulation sensor or a phase modulation sensor, the calibration unit is calibrated by a liquid level calibration method, and the evaluation unit calculates a release factor R as an evaluation index of the bubble behavior.

2. The optical fiber-based dynamic bubble monitoring device according to claim 1, characterized in that: The light source and the optical fiber sensor are combined with a spectrum analyzer and a host computer to form an optical path measurement system, which is a transmission type, reflection type or interference type measurement system.

3. The optical fiber-based dynamic bubble monitoring device according to claim 1, characterized in that: The light source is an amplified spontaneous emission broadband light source or a tunable laser.

4. The optical fiber-based dynamic bubble monitoring device according to claim 1, characterized in that: The signal processing unit includes a filtering module, a conversion module and a differentiation module. The filtering module is used to filter noise in the signal, the conversion module is used to convert the signal into the size of the bubble, and the differentiation module is used to calculate the differential of the time-varying bubble size with respect to time.

5. The optical fiber-based dynamic bubble monitoring device according to claim 1, characterized in that: The signal processing unit further comprises a result output module, which is used to output and display the calculated release factor R.

6. A calibration method for a dynamic bubble monitoring device based on optical fiber, characterized in that: The following steps are involved: Place the optical fiber sensor vertically in a transparent container with a height scale; Continuously changing the liquid level of the liquid to be measured in the transparent container so that it can immerse optical fiber sensors of different lengths; Read a series of lengths Δl of the liquid to be tested that immerse the sensor, and record the center wavelength drift value Δλ of the signal light spectrum at this time; Through function fitting, the calibration relationship function f(Δλ) between the bubble coverage Δl / L and the center wavelength drift value Δλ is obtained, which is expressed as: Δl / L=f(Δλ); Where L is the total length of the optical fiber sensor.

7. A method for evaluating bubble behavior, characterized in that: The following steps are involved: The timing signals related to bubbles are continuously obtained through a dynamic bubble monitoring device based on optical fiber; The obtained time series signal is input into a signal processing unit to extract the growth rate, size and detachment rate parameters of the bubble; The release factor R is calculated by the evaluation unit, and the release factor R calculation formula is: or: Among them, T ob is the measurement time, L is the length of the sensitive area of ​​the optical fiber sensor, Δt is the sampling interval, ΔI(t) and Δλ(t) represent the differential intensity and differential wavelength measured by the intensity demodulation and wavelength demodulation systems, respectively, and f I and f + represent the calibration functions of the intensity demodulation and wavelength demodulation systems respectively, and They represent the time differential of the bubble coverage in the intensity demodulation and wavelength demodulation systems, respectively, and the sum symbol Σ represents the time differential of the bubble coverage in the time period T ob The sum of all bubble detachment events in N 3 is the number of negative differentials during this period, i.e., the number of observed bubble detachments; The quality of the bubble behavior is evaluated based on the calculated release factor R.

8. The bubble behavior evaluation method according to claim 7, characterized in that: The method for obtaining the bubble growth rate, size and detachment rate parameters is as follows: The central wavelength drift Δλ(t) is measured and obtained, and the dynamic bubble coverage is calculated by the calibration function; the bubble dynamics parameters including the bubble growth rate, size and detachment rate are calculated according to the dynamic bubble coverage; The bubble generation rate is the slope of the rising segment at the beginning of the dynamic bubble coverage, expressed as: The bubble detachment rate is the number of bubble detachments per unit time and unit length. The bubble detachment event is indicated by the falling segment of the dynamic bubble coverage, which is expressed as: Bubble size refers to the size of the detached bubble, which represents the maximum size of the bubble attached to the solid surface. The calculation method is: Bubble size = bubble coverage reduction × sensing area length.

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