Desulfurization slurry foaming dynamic monitoring device and foam rupture rate analysis method

Abstract

The invention discloses a desulfurization slurry foaming dynamic monitoring device and a foam rupture rate analysis method, and relates to the technical field of thermal power plant desulfurization slurry foaming ability detection.The desulfurization slurry foaming dynamic monitoring device comprises a desulfurization tower slurry sampling device and a slurry foaming ability analysis chamber; according to the desulfurizing tower slurry sampling device, sampling pipes are arranged at different height positions on the side face of a desulfurizing tower, sampled slurry is subjected to standing through a standing chamber, then slurry supernatant is separated out, and the slurry supernatant is conveyed to a slurry foaming capacity analysis chamber through a sample pump; the slurry foaming capacity analysis chamber is provided with a bubbling module for providing a stable foam generation rate for a sample, is provided with a high-speed camera module for capturing dynamic images of foam generation and fracture, and is provided with a multi-parameter sensor array module for acquiring liquid level pressure, conductivity, viscosity and temperature data in real time; sensor data and graphic signals collected by the slurry foaming ability analysis chamber are used for analyzing the foam rupture rate of the supernatant of the desulfurization slurry through the data processing unit, and are used for representing the foaming ability of the desulfurization slurry.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of detecting the foaming capacity of desulfurization slurry in a thermal power plant, and particularly relates to a desulfurization slurry foaming dynamic monitoring device and a foam collapse rate analysis method. BACKGROUND

[0002] A limestone gypsum wet desulfurization tower absorbs sulfur dioxide in flue gas through a desulfurizer (limestone slurry) and generates byproduct gypsum through oxidation by oxidation wind. A large number of bubbles are generated in the process of oxidation wind bubbling and agitator disturbance.

[0003] In actual engineering, impurities from flue gas, water supplement, and limestone powder can be enriched in the desulfurization tower, changing the physical properties of the slurry, leading to a decrease in the generated foaming collapse rate, and a large amount of foam accumulating in the desulfurization tower, causing slurry overflow, false liquid level, and a decrease in desulfurization efficiency, and affecting the normal operation of the desulfurization tower.

[0004] During the operation of the desulfurization tower, it is difficult to track the change in the physical properties of the desulfurization slurry and monitor the actual foaming condition in the tower due to factors such as circulating spraying and slurry pool stirring, so that when the foaming of the slurry is found, the problem is already serious, and it is difficult to restore the normal operation state of the desulfurization tower through simple control means. SUMMARY

[0005] In view of the above technical problems existing in the prior art, the purpose of the present application is to provide a desulfurization slurry foaming dynamic monitoring device and a foam collapse rate analysis method.

[0006] The technical solution adopted by the present application is as follows: A desulfurization slurry foaming dynamic monitoring device, comprising a desulfurization tower, a desulfurization tower slurry sampling device, and a slurry foaming capacity analysis chamber, the desulfurization tower slurry sampling device samples by gravity and transports the supernatant of the desulfurization slurry after sedimentation treatment to a slurry foaming capacity analysis unit, the slurry foaming capacity analysis unit is arranged with a bubbling module, a high-speed camera module, and a multi-parameter sensor array module, collects data and analyzes the foaming capacity of the supernatant of the desulfurization slurry.

[0007] Further, the desulfurization tower slurry sampling device comprises a plurality of sampling tubes arranged at different height positions on the side of the desulfurization tower, an electric control valve is arranged on the sampling tube, the other end of the sampling tube is connected to a standing chamber, a water inlet pipe and a water outlet pipe are arranged at the bottom of the standing chamber for flushing the sludge at the bottom, a sample pipe is arranged in the middle of the standing chamber, and a sample pump is arranged on the sample pipe for transporting the supernatant of the desulfurization slurry after standing to the slurry foaming capacity analysis unit through the sample pump.

[0008] Further, the operation steps of the desulfurization tower slurry sampling device are as follows: Step one: open the electric control valve of specified height, take slurry through the sampling pipe to the static chamber; Step two: after the static chamber is filled with slurry, close the electric control valve, and let the slurry stand to separate the liquid and solid; Step three: open the sample pump, and transport the supernatant of the desulfurization slurry after standing to the slurry foaming capacity analysis unit; Step four: close the sample pump, and flush the static chamber by introducing water through the water inlet pipe and the water outlet pipe.

[0009] Further, the slurry foaming capacity analysis unit comprises a sample tank and a data processing unit arranged outside the sample tank, and an analysis chamber water inlet and an analysis chamber water outlet are arranged on both sides of the bottom of the sample tank. A bubbling module is arranged at the bottom of the sample tank, and the bubbling module is used to transport air to the supernatant of the desulfurization slurry in the sample tank bottom to generate a stable rate of bubbling effect. The bubbling module can be a gas distributor arranged in the bottom of the sample tank, and the air inlet pipe of the gas distributor penetrates out of the bottom of the sample tank, and the part of the air inlet pipe outside the bottom of the sample tank is provided with an air aerator, a flowmeter and a valve.

[0010] Further, a high-speed camera module is arranged in the top of the sample tank, and the high-speed camera module is signal connected with the data processing unit through wires, and is used to transmit the photographed image signals to the data processing unit. The high-speed camera module is a detachable module, which is installed and used when the data processing unit processes the image signals, and is detached after the processing of the image signals is completed. That is, the high-speed camera module is installed and used during the modeling of the random forest model, and is detached after the model training is completed.

[0011] Further, the multi-parameter sensor array module comprises a lifting mechanism and an electric conductivity meter, a viscosity meter, a thermometer and a surface tension meter arranged on the lifting mechanism. The lifting mechanism is arranged on the top of the sample tank, and the lifting mechanism can adjust the height of the electric conductivity meter, the viscosity meter, the thermometer and the surface tension meter together. The electric conductivity meter, the viscosity meter, the thermometer and the surface tension meter are signal connected with the data processing unit through wires respectively, and they transmit the test signals to the data processing unit respectively. The lifting mechanism is a conventional technology, which can be a lifting plate, a spring and a gas cylinder. The lifting plate is located in the top of the sample tank, and the lifting plate is connected with the inner wall of the top of the sample tank through the spring. The top pin of the gas cylinder penetrates into the top of the sample tank and is fixedly connected with the lifting plate. Under the action of the extension and retraction of the top pin of the gas cylinder, the lifting plate can be displaced up and down. The spring is arranged between the lifting plate and the inner wall of the top of the sample tank to play a certain buffering role. The electric conductivity meter, the viscosity meter, the thermometer and the surface tension meter are fixedly arranged below the lifting plate.

[0012] The operation steps of the slurry foaming capacity analysis chamber are as follows: Step one: after the supernatant of the desulfurization slurry reaches the set liquid level in the sample tank, the sample pump is turned off and the liquid is stopped; Step two: the lifting mechanism is lowered until the sensor part of the conductivity meter, the viscosity meter, the thermometer and the surface tension meter are completely immersed in the supernatant solution; Step three: the data processing unit transmits and collects the data measured by the conductivity meter, the viscosity meter and the thermometer; Step four: the lifting mechanism is raised until the sensor part of the surface tension meter is separated from the supernatant solution; then the height of the lifting mechanism is slowly lowered again until the sensor part of the surface tension meter is immersed in the solution again; the data processing unit transmits and collects the data measured by the surface tension meter; The tension test of the supernatant solution is calculated by measuring the change of force when the sensor part of the surface tension meter is from the gas phase to the liquid phase, and the liquid solution needs to be fully immersed before the test.

[0013] Step five: the bubbling module is turned on to bubble in the supernatant solution in the sample tank, the high-speed camera module captures the image of bubble generation and rupture on the upper surface of the supernatant solution in the sample tank, and transmits the signal to the data processing unit, and the bubbling module is turned off after a period of time; Step six: after the measurement is completed, water is introduced into the sample tank through the inlet of the analysis chamber and drained through the outlet of the analysis chamber, so that the water introduced in the internal space of the sample tank immerses the conductivity meter, the viscosity meter, the thermometer and the surface tension meter, and rinses the sensor parts of the conductivity meter, the viscosity meter, the thermometer and the surface tension meter and the sample tank.

[0014] A method for analyzing the foam rupture rate of desulfurization slurry foaming, which uses the desulfurization slurry foaming dynamic monitoring device to analyze the foam rupture rate of desulfurization slurry foaming, and the analysis method comprises the following steps: S1, when sampling and analyzing, the foam height in the desulfurization tower is manually measured through the overflow port of the desulfurization tower, and a tensor matrix composed of sampling time, conductivity, viscosity, temperature, tension, bubble rupture time, bubble diameter before rupture and foam height is formed; S2, the tensor matrix of sufficient data is normalized and input into a model based on a random forest algorithm for training, and the conductivity, viscosity, temperature and tension are used as inputs, and the bubble rupture time, bubble diameter before rupture and foam height are used as outputs; S3, the fully trained model is used to evaluate the foam rupture rate.

[0015] Further, in step S1, the slurry in the desulfurization tower is sampled by the desulfurization tower slurry sampling device through gravity, and after settling treatment, the supernatant of the desulfurization slurry is transported to the slurry foaming capacity analysis unit, the conductivity, viscosity, temperature and tension data of the supernatant are monitored, and the bubble breaking time and bubble diameter before breaking are monitored by bubbling the supernatant of the desulfurization slurry.

[0016] Further, in step S1, the foam height in the desulfurization tower is manually measured through the overflow port of the desulfurization tower. The process is as follows: the slurry bubbles in the desulfurization tower are the result of the slurry deteriorating to a certain extent. When the slurry foaming capacity analysis is performed, data needs to be collected, so the slurry height of the desulfurization tower is raised, so that the upper surface of the foam in the desulfurization tower can be observed from the overflow port. A rope with a weight is lowered through the overflow port, and the rope is slowly lowered until the upper surface of the foam is contacted. When the weight contacts the upper surface of the foam, there is a slight change in gravity, and the weight contacting the upper surface of the foam can be observed from the overflow port. The height of the overflow port is reduced by the length of the rope to obtain the height of the slurry with foam. Continue to lower the rope until the weight floats on the surface of the slurry. The height of the overflow port is reduced by the length of the rope at this time to obtain the height of the slurry with foam. The difference between the two heights is the foam height of the slurry.

[0017] The overflow port of the desulfurization tower is arranged below the top flue gas outlet of the desulfurization tower, so as to prevent the slurry from flowing back to the induced draft fan connected to the flue gas outlet.

[0018] Further, when the random forest model is used, the slurry foaming capacity analysis unit only quickly measures the conductivity, viscosity, temperature and tension data of the supernatant of the desulfurization slurry, forms a tensor matrix as an input, evaluates the bubble breaking time, bubble diameter before breaking and foam height, characterizes the foam breaking rate, and adjusts the operation of the desulfurization tower according to the changes of the above parameters.

[0019] Further, the random forest model is trained once every fixed interval of analyzing the slurry.

[0020] Further, in step S1, the measurement of the slurry foaming capacity analysis unit includes the following steps: S11, after the supernatant of the desulfurization slurry reaches the set liquid level height in the sample tank, the sample pump is closed, and the lifting mechanism is lowered until the sensor part of the conductivity meter, viscometer, thermometer and surface tension meter is completely immersed in the supernatant solution, and the conductivity, viscosity, temperature and other data of the supernatant solution are measured; S12, the lifting mechanism is raised back to the original position until the sensor part of the surface tension meter is separated from the supernatant solution; then the height of the lifting mechanism is slowly lowered again until the sensor part of the surface tension meter is immersed in the solution again, and the tension data of the supernatant solution are measured; S13, start the bubble module at the bottom of the analysis chamber, and open the high-speed camera module, capture and record the interval time of bubble generation and rupture of multiple bubbles on the upper surface of the supernatant solution in the sample tank by using image recognition technology, take the average value of the diameter of the bubble before the bubble breaks as the characteristic data, and the interval time of bubble generation and rupture is the bubble rupture time.

[0021] Further, after the data processing unit receives all signals of the multi-parameter sensor array module, the interval time of bubble generation and rupture of multiple bubbles on the upper surface of the solution in the sample tank and other data such as the diameter of the bubble before the bubble breaks are captured and recorded by using image recognition technology, which are used to characterize the foam rupture rate; the data processing unit records the conductivity, viscosity, temperature, tension, bubble rupture time and bubble diameter before the bubble breaks of the sample into a data set.

[0022] Compared with the prior art, the beneficial effects obtained by the present application are: 1) The desulfurization slurry foaming dynamic monitoring device according to the present application adopts a continuous sampling method outside the desulfurization tower, which overcomes the harsh environment of online measurement in the desulfurization tower and ensures the continuity of monitoring. 2) The desulfurization slurry foam rupture rate analysis method according to the present application combines the dynamic image information captured by the high-speed camera module with the measurement of the physical properties of the slurry, and corresponds the foam rupture rate with the conductivity, viscosity, temperature, tension and other key data of the desulfurization slurry based on the random forest model, thereby improving the timeliness and accuracy of the evaluation of the foam rupture rate. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 is a structural schematic view of a desulfurization slurry foaming dynamic monitoring device.

[0024] Figure 1 In the figure: 1, desulfurization tower; 2, desulfurization tower slurry sampling device; 3, slurry foaming capacity analysis unit; 4, sampling pipe; 5, electric control valve; 6, standing chamber; 7, water inlet pipe; 8, water outlet pipe; 9, sample pipe; 10, sample pump; 11, analysis chamber water inlet; 12, analysis chamber water outlet; 13, high-speed camera module; 14, wire; 15, data processing unit; 16, conductivity meter; 17, sample tank; 18, viscosity meter; 19, lifting mechanism; 20, thermometer; 21, bubble module; 22, surface tension meter. DETAILED DESCRIPTION

[0025] The present application will be further described below in conjunction with specific embodiments, but the protection scope of the present application is not limited thereto.

[0026] A desulfurization slurry foaming dynamic monitoring device, which is compared with Figure 1, including desulfurization tower 1, desulfurization tower slurry sampling device 2 and slurry foaming capacity analysis chamber 3, desulfurization tower slurry sampling device 2 samples by gravity and transports desulfurization slurry supernatant to slurry foaming capacity analysis unit 3 after settlement treatment, slurry foaming capacity analysis unit 3 arranges bubble module, high-speed camera module and multi-parameter sensor array module, transmits collected data to data processing unit 15 and analyzes the foaming capacity of desulfurization slurry supernatant.

[0027] Desulfurization tower slurry sampling device 2 includes a plurality of sampling tubes 4 arranged at different height positions on the side of desulfurization tower 1, an electric control valve 5 is arranged on the sampling tube 4, the other end of the sampling tube 4 is connected to a static chamber 6, a water inlet pipe 7 and a water outlet pipe 8 are arranged at the bottom of the static chamber 6 for flushing the bottom settled sludge, a sample pipe 9 is arranged in the middle of the static chamber 6, a sample pump 10 is arranged on the sample pipe 9, for transporting the desulfurization slurry supernatant after standing to the slurry foaming capacity analysis unit 3 through the sample pump 10.

[0028] Slurry foaming capacity analysis unit 3 includes a sample tank 17 and a data processing unit 15 arranged outside the sample tank 17, analysis chamber water inlet 11 and analysis chamber water outlet 12 are arranged on both sides of the bottom of the sample tank 17, a bubble module 21 is arranged at the bottom of the sample tank 17, and the bubble module 21 transports air to the bottom of the sample tank 17.

[0029] A high-speed camera module 13 is arranged in the top of the sample tank 17, the high-speed camera module 13 is signal connected with the data processing unit 15 through the wire 14, for transmitting the photographed image signal to the data processing unit 15; the high-speed camera module 13 is a detachable module, which is installed and used when the data processing unit 15 processes the image signal, and is detached after the image signal processing is completed.

[0030] The multi-parameter sensor array module includes a lifting mechanism 19 and an electric conductivity instrument 16, a viscosity instrument 18, a thermometer 20 and a surface tension instrument 22 arranged on the lifting mechanism 19, the lifting mechanism 19 is arranged on the top of the sample tank 17, and the lifting mechanism 19 can adjust the height of the electric conductivity instrument 16, the viscosity instrument 18, the thermometer 20 and the surface tension instrument 22 together; the electric conductivity instrument 16, the viscosity instrument 18, the thermometer 20 and the surface tension instrument 22 are signal connected with the data processing unit 15 through the wire 14 respectively, and they transmit the test signal to the data processing unit 15 respectively.

[0031] A method for analyzing the bubble collapse rate of desulfurization slurry foaming, comprising the following steps: S1, when sampling and analyzing, the foam height in the desulfurization tower is measured manually through the overflow port of the desulfurization tower, the slurry in the desulfurization tower 1 is sampled by the desulfurization tower slurry sampling device 2 through gravity, after settlement treatment, the supernatant of the desulfurization slurry is transported to the slurry foaming capacity analysis unit 3, the conductivity, viscosity, temperature and tension data are monitored, and the bubble breaking time and the diameter before bubble breaking are monitored by bubbling to the supernatant of the desulfurization slurry; the sampling time, conductivity, viscosity, temperature, tension, bubble breaking time, diameter before bubble breaking, and foam height form a tensor matrix.

[0032] The measurement of the slurry foaming capacity analysis unit 3 includes the following steps: S11, after the supernatant of the desulfurization slurry reaches the set liquid level height in the sample tank 17, the sample pump is closed, the height of the lifting mechanism 19 is lowered until the sensor part of the conductivity meter, the viscosity meter, the thermometer and the surface tension meter are completely immersed in the solution, and the sample conductivity, viscosity, temperature, tension and other data are measured; the data processing unit 15 transmits and collects the data measured by the conductivity meter 16, the viscosity meter 18 and the thermometer 20; S12, the lifting mechanism 19 is raised to a height until the sensor part of the surface tension meter 22 is separated from the supernatant solution; then the height of the lifting mechanism 19 is slowly lowered until the sensor part of the surface tension meter 22 is immersed in the solution again; the data processing unit 15 transmits and collects the data measured by the surface tension meter 22; S12, start the bubble module and open the high-speed camera module, use image recognition technology to capture and record the interval time of bubble generation and rupture and the diameter before bubble breaking of multiple bubbles on the surface of the sample tank solution, take the average value of the diameter before bubble breaking as the characteristic data, and the interval time of bubble generation and rupture is the bubble breaking time.

[0033] S2, after normalizing the tensor matrix of sufficient data, input the model based on the random forest algorithm for training, the conductivity, viscosity, temperature and tension are input, and the bubble breaking time, bubble breaking diameter and foam height are output; S3, the fully trained model is used to evaluate the foam breaking rate.

[0034] When using the random forest model, the slurry foaming capacity analysis unit 3 only quickly measures the conductivity, viscosity, temperature and tension data of the supernatant of the desulfurization slurry, forms a tensor matrix as input, evaluates the bubble breaking time, bubble breaking diameter and foam height, characterizes the foam breaking rate, and adjusts the operation of the desulfurization tower according to the changes of the above parameters.

[0035] The data processing unit 15 receives all signals of the multi-parameter sensor array module, captures and records the interval time of multiple bubble generation and rupture on the upper surface of the solution in the sample tank 17, the diameter before bubble rupture, etc. using image recognition technology, for characterizing the bubble rupture rate. The data processing unit 15 records the conductivity, viscosity, temperature, tension, bubble rupture time, and bubble diameter before rupture of the sample into a data set. Embodiments

[0036] Using the device as shown in Figure 1 The method for analyzing the bubble rupture rate of the desulfurization slurry foaming foam includes the following steps: Step 1: Establish a data set Every 6 hours, measure the conductivity, viscosity, temperature, tension, bubble rupture time, and bubble diameter before rupture, etc. and arrange the operating personnel to observe the foam height of the desulfurization tower overflow valve and record. The collected data is composed into a data set, and the data is collected for 3 months; Step 2: Preliminary training parameters Take the conductivity, viscosity, temperature, and tension as input, and take the bubble rupture time, bubble diameter before rupture, and foam height as output. After normalization, use the random forest algorithm to preliminarily train the model, take 80% of the data as the training set, and take 20% of the data as the validation set; In Embodiment 1 of the present application, the interval of the statistical data set is mapped to the range of 0-1 for processing.

[0037] Step 3: Optimize the model Adjust the number of trees (4, 8, 12, 16), the minimum sample size for leaf merging (1, 2, 3), and the minimum gain for splitting (0, 0.05, 0.1), etc. to increase the weight of viscosity and tension.

[0038] Step 4: Complete model training and evaluation After training, the parameters of the model are: the number of trees is 12, the minimum sample size is 2, and the minimum gain for splitting is 0.05. The model is evaluated using the validation set. The model evaluates the bubble rupture time as 1.9s, while the actual value is 2s, with an error of 5%.

[0039] By controlling the evaluation error, adjusting the model parameters, and trying to determine the optimal parameters as the number of trees: 8, the minimum sample size for leaf merging: 1, and the minimum gain for splitting: 0.1, the evaluation accuracy of the model is ensured, and the error of the model is reduced to about 3%.

[0040] Step 5: Evaluate the bubble rupture time, bubble diameter before rupture, and foam height After the model training is completed, the high-speed camera module is disassembled, the conductivity, viscosity, temperature and tension of the desulfurization slurry are monitored every 1 hour, the bubble breaking time, bubble breaking diameter and foam height are evaluated through the model, the change trend of the foam breaking rate is mastered in real time, and the operation of the desulfurization tower is regulated in advance before the foam breaking rate significantly decreases.

[0041] The content described in the specification is only a list of implementation forms of the inventive concept, and the protection scope of the application should not be regarded as being limited to the specific forms stated in the embodiments.

Claims

1. A dynamic monitoring device for foaming of desulfurization slurry, comprising a desulfurization tower (1), a desulfurization tower slurry sampling device (2), and a slurry foaming capacity analysis chamber (3), characterized in that: The desulfurization tower slurry sampling device (2) uses gravity to take samples and after sedimentation treatment, the supernatant of the desulfurization slurry is transported to the slurry foaming ability analysis unit (3). The slurry foaming ability analysis unit (3) is equipped with a bubbling module, a high-speed camera module and a multi-parameter sensor array module. The collected data is transmitted to the data processing unit (15) and the foaming ability of the supernatant of the desulfurization slurry is analyzed.

2. The desulfurization slurry foaming dynamic monitoring device as described in claim 1, characterized in that: The desulfurization tower slurry sampling device (2) includes multiple sampling tubes (4) arranged at different heights on the side of the desulfurization tower (1). An electric control valve (5) is installed on the sampling tube (4). The other end of the sampling tube (4) is connected to the settling chamber (6). A water inlet pipe (7) and a water outlet pipe (8) are arranged at the bottom of the settling chamber (6) for rinsing the sludge settling at the bottom. A sample tube (9) is arranged in the middle of the settling chamber (6). A sample pump (10) is installed on the sample tube (9) for transporting the supernatant of the settling desulfurization slurry to the slurry foaming ability analysis unit (3) through the sample pump (10). The operating steps of the desulfurization tower slurry sampling device (2) are as follows: Step 1: Open the electric control valve (5) at the specified height and take the slurry into the settling chamber (6) through the sampling tube (4); Step 2: After the settling chamber is filled with slurry, close the electric control valve (5) and let the slurry stand to allow liquid-solid separation; Step 3: Turn on the sample pump (10) to deliver the supernatant of the desulfurized slurry after it has been allowed to stand to the slurry foaming ability analysis unit (3). Step 4: Turn off the sample pump (10), and flush the settling chamber (6) with water through the inlet pipe (7) and outlet pipe (8).

3. The desulfurization slurry foaming dynamic monitoring device as described in claim 1, characterized in that: The slurry foaming ability analysis unit (3) includes a sample tank (17) and a data processing unit (15) located outside the sample tank (17). The bottom sides of the sample tank (17) are respectively arranged with an analysis chamber inlet (11) and an analysis chamber outlet (12). A bubbling module (21) is arranged at the bottom of the sample tank (17). The bubbling module (21) is used to deliver air to the bottom of the sample tank (17).

4. The desulfurization slurry foaming dynamic monitoring device as described in claim 3, characterized in that: A high-speed camera module (13) is arranged inside the top of the sample container (17). The high-speed camera module (13) is connected to the data processing unit (15) via a wire and is used to transmit the captured graphic signal to the data processing unit (15). The high-speed camera module (13) is a detachable module. It is installed and used when the data processing unit (15) processes the graphic signal, and is removed after the graphic signal is processed.

5. The desulfurization slurry foaming dynamic monitoring device as described in claim 3, characterized in that: The multi-parameter sensor array module includes a lifting mechanism (19) and a conductivity meter (16), a viscometer (18), a thermometer (20), and a surface tension meter (22) arranged on the lifting mechanism (19). The lifting mechanism (19) is arranged on the top of the sample container (17). The lifting mechanism (19) can adjust the height of the conductivity meter (16), the viscometer (18), the thermometer (20), and the surface tension meter (22) together. The conductivity meter (16), the viscometer (18), the thermometer (20), and the surface tension meter (22) are respectively connected to the data processing unit (15) via wires (14), and they respectively transmit test signals to the data processing unit (15).

6. The desulfurization slurry foaming dynamic monitoring device as described in claim 5, characterized in that: The operating steps of the slurry foaming ability analysis chamber (3) are as follows: Step 1: After the supernatant of the desulfurization slurry reaches the set liquid level in the sample tank (17), the liquid feeding is stopped; Step 2: The lifting mechanism (19) lowers the height until the sensor parts of the conductivity meter (16), the viscometer (18), the thermometer (20), and the surface tension meter (22) are completely immersed in the supernatant solution; Step 3: The data processing unit (15) transmits and collects data measured by the conductivity meter (16), the viscometer (18), and the thermometer (20); Step 4: The lifting mechanism (19) rises to a height until the sensor part of the surface tension meter (22) is removed from the supernatant solution; then the height of the lifting mechanism (19) is slowly lowered until the sensor part of the surface tension meter (22) is re-immersed in the solution; the data processing unit (15) transmits and collects the data measured by the surface tension meter (22); Step 5: Turn on the bubble module (21), the high-speed camera module (13) captures the image of the generation and rupture of bubbles on the upper surface of the supernatant solution in the sample container (17), and transmits the signal to the data processing unit (15). After a period of time, turn off the bubble module (21). Step 6: After the measurement is completed, water is introduced into the sample container (17) through the water inlet (11) of the analysis chamber and drained through the water outlet (12) of the analysis chamber, so that the water introduced into the sample container (17) immerses the conductivity meter (16), the viscometer (18), the thermometer (20) and the surface tension meter (22) in the internal space of the sample container (17), and rinses the sensor parts of the conductivity meter (16), the viscometer (18), the thermometer (20) and the surface tension meter (22) and the sample container (17).

7. A method for analyzing the foam breakage rate of desulfurization slurry, characterized in that... The foam breakage rate analysis of desulfurization slurry was performed using the desulfurization slurry foaming dynamic monitoring device as described in claim 1. The analysis method included the following steps: S1. During sampling and analysis, the foam height inside the desulfurization tower is manually measured through the overflow port of the desulfurization tower. The sampling time, conductivity, viscosity, temperature, tension, bubble rupture time, bubble diameter before rupture, and foam height are combined into a tensor matrix. S2. Normalize the tensor matrix of a sufficient amount of data and input it into the model based on the random forest algorithm for training. Use conductivity, viscosity, temperature and tension as inputs, and bubble bursting time, bubble diameter before bursting and foam height as outputs. S3. Use the fully trained model to evaluate the foam bursting rate.

8. The method as described in claim 7, characterized in that In step S1, the slurry in the desulfurization tower (1) is sampled by gravity using the desulfurization tower slurry sampling device (2). After sedimentation, the supernatant of the desulfurization slurry is transported to the slurry foaming ability analysis unit (3) to monitor its conductivity, viscosity, temperature and tension data. The bubble bursting time and the diameter of the bubble before bursting are monitored by bubbling the supernatant of the desulfurization slurry. When using the random forest model, the slurry foaming ability analysis unit (3) quickly measures the conductivity, viscosity, temperature and tension data of the supernatant of the desulfurization slurry, forms a tensor matrix as input, evaluates the bubble breakage time, bubble diameter before breakage and foam height, characterizes the foam breakage rate, and adjusts the operation of the desulfurization tower according to the changes of the above parameters.

9. The method as described in claim 8, characterized in that... Step S1, the measurement of the slurry foaming ability analysis unit (3) includes the following steps: S11. After the supernatant of the desulfurization slurry reaches the set liquid level in the sample tank (17), the sample pump is turned off and the height of the lifting mechanism (19) is lowered until the sensor parts of the conductivity meter, viscometer, thermometer and surface tension meter are completely immersed in the supernatant solution. The conductivity, viscosity and temperature data of the supernatant solution are measured. S12. Raise the lifting mechanism (19) back to its original position until the sensor part of the surface tension meter (22) is removed from the supernatant solution; then slowly lower the height of the lifting mechanism (19) until the sensor part of the surface tension meter (22) is re-immersed in the solution and the tension data of the supernatant solution is measured. S13. Start the bubble module (21) and turn on the high-speed camera module (13). Use image recognition technology to capture and record the interval between the generation and rupture of multiple bubbles on the surface of the supernatant solution in the sample container, and the diameter of the bubbles before rupture. Take the average value of the diameter of the bubbles before rupture as its characteristic data. The interval between the generation and rupture of bubbles is the bubble rupture time.

10. The method as described in claim 9, characterized in that... After receiving all signals from the multi-parameter sensor array module, the data processing unit (15) uses image recognition technology to capture and record the characteristic data of the interval time between bubble generation and rupture and the diameter of the bubble before rupture of multiple bubbles on the surface of the supernatant solution in the sample container (17), which are used to characterize the foam rupture rate. The data processing unit (15) records the conductivity, viscosity, temperature, tension, bubble rupture time, and diameter of the bubble before rupture of the sample into a data set.

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