A foam defoaming method and system suitable for a slurry pool in waste gas desulfurization

Abstract

The present application relates to a foam defoaming method and system for a pulp pool in waste gas desulfurization, which belongs to the technical field of waste gas desulfurization. The foam defoaming method comprises: collecting image information of the pulp pool; judging whether there is foam in the pulp pool according to the image information; if so, obtaining the current slurry pressure and current slurry concentration in the pulp pool; inputting the current slurry pressure and the current slurry concentration into a pre-constructed first defoamer dosage prediction model to obtain a first predicted dosage of defoamer; and adding defoamer to the pulp pool according to the first predicted dosage. The present application has the beneficial effects of improving labor efficiency and reducing dependence on personnel experience.

Description

Technical Field

[0001] The present application relates to the technical field of waste gas desulfurization, and in particular to a foam defoaming method and system for a slurry pool suitable for waste gas desulfurization. Background Art

[0002] When the waste gas treatment tower treats waste gas, a spray device is usually installed above the tower. The sprayed waste water falls into the slurry pool at the bottom of the waste gas treatment tower. Because of the components in the waste gas, the components in the spray liquid and the potential energy of the falling droplets, foam will be generated in the slurry pool. The foam will occupy the effective space of the slurry pool and reduce the contact area between the slurry and the waste gas. In particular, when the foam overflows, it may enter the pipeline, pump and other equipment, increase the resistance of the fluid in the pipeline, cause the pipeline to be blocked or make the pump flow unstable; in addition, the harmful components of the foam will also pollute the environment. Therefore, it is necessary to add a defoaming agent to the slurry pool.

[0003] In the related art, adding defoaming agent into the pulp pool usually relies on the rich experience of technicians, which is highly dependent on the experience of the technicians and has relatively low labor efficiency. Summary of the invention

[0004] In order to improve labor efficiency and reduce dependence on personnel experience, the present application provides a foam defoaming method and system for a slurry pool in waste gas desulfurization.

[0005] In the first aspect, the present application provides a foam defoaming method for a slurry pool in waste gas desulfurization, which adopts the following technical solution:

[0006] A foam defoaming method for a slurry pool in waste gas desulfurization, comprising:

[0007] Collect image information of pulp pool;

[0008] judging whether there is foam in the pulp pool according to the image information;

[0009] If yes, then obtain the current slurry pressure and current slurry concentration in the slurry pool;

[0010] Inputting the current slurry pressure and the current slurry concentration into a pre-constructed first defoamer dosage prediction model to obtain a first predicted dosage of the defoamer;

[0011] Defoaming agent is added into the pulp pool according to the first predicted amount.

[0012] By adopting the above technical solution, by collecting pulp pool image information and automatically judging whether foam is generated, real-time and automatic monitoring of the pulp pool status is achieved, without the need for frequent manual inspections, saving labor costs, improving monitoring efficiency and accuracy, and being able to promptly detect foam generation and avoid problems caused by manual negligence. By using the pre-constructed first defoamer dosage prediction model, the first predicted dosage of defoamer dosage is accurately predicted based on the slurry pressure and concentration. Compared with dosage based on experience or fixed dosage, more accurate defoamer dosage can be achieved, avoiding waste or cost increase caused by excessive defoamer dosage, and preventing poor defoaming effect caused by insufficient dosage. It can be seen that it has the beneficial effects of improving labor efficiency and reducing dependence on personnel experience.

[0013] Optionally, the step after obtaining the first predicted amount of defoaming agent dosage includes:

[0014] Searching a historical delivery amount matching the current slurry pressure and the current slurry concentration in a historical delivery database;

[0015] Determine whether a first difference between the first predicted amount and the historical delivery amount is greater than a first threshold;

[0016] If not, add defoaming agent into the pulp pool according to the first predicted amount.

[0017] By adopting the above technical solution, searching the historical dosage that matches the current slurry pressure and concentration in the historical dosage database is equivalent to introducing data from past production practices as a reference. The historical dosage data is the actual operation record accumulated in the long-term production process, which reflects the use of defoaming agents under similar production conditions; by comparing with the historical dosage, the first predicted dosage based on the model prediction can be verified to increase the reliability of the prediction results. When the first difference is not greater than the first threshold, that is, the predicted value is consistent with the historical experience value, the defoaming agent is added according to the first predicted dosage to ensure the stability of the production process. Because the historical dosage is an effective dosage verified by practice, under similar production conditions, maintaining a similar defoaming agent dosage can effectively control the foam situation in the slurry pool, thereby ensuring the smooth operation of the entire production process and reducing product quality problems or production interruptions that may be caused by fluctuations in the dosage of defoaming agents. Under the premise of ensuring the defoaming effect and stable production, following the principle of matching the predicted value with the historical dosage will help optimize costs. It will not cause waste due to excessive defoaming agent and increase production costs, nor will it affect production due to foam problems caused by insufficient dosage, thereby avoiding the extra costs caused by dealing with foam problems and achieving reasonable cost control.

[0018] Optionally, the foam defoaming method further comprises:

[0019] If the first difference is greater than the first threshold, obtaining the coverage area of ​​the foam in the image information;

[0020] Inputting the coverage area into a pre-constructed prediction model for the second dosage of the defoaming agent to obtain a second predicted dosage of the defoaming agent;

[0021] determining whether the first predicted value and the second predicted value are similar;

[0022] If yes, the predicted amount with a larger value is selected from the first predicted amount and the second predicted amount as the current dosage of the defoaming agent;

[0023] The defoaming agent is dosed according to the current dosage.

[0024] By adopting the above technical scheme, by comparing the first predicted amount and the second predicted amount, the actual demand for the defoamer can be determined more accurately. When the two are similar, selecting the larger predicted amount as the current delivery amount can effectively avoid insufficient delivery of the defoamer due to prediction deviation, thereby improving the delivery accuracy of the defoamer. Although the larger value may slightly increase the amount of defoamer used, the defoaming effect can be guaranteed by selecting the larger value from the two similar predicted amounts as the delivery amount. This avoids the situation where the defoamer is repeatedly delivered due to too little delivery, and reduces the additional operating costs and time costs caused by poor defoaming effect. Overall, the efficiency of the use of the defoamer is improved, so that each unit of defoamer can play a better defoaming role, which helps to reduce the overall use cost of the defoamer. The method obtains the foam coverage area through image information, and determines the delivery amount in combination with the defoamer delivery amount prediction model, making the defoaming process more scientific and systematic. Compared with the traditional method of relying on manual experience to judge the foam situation and the defoamer delivery amount, the interference of human factors is reduced.

[0025] Optionally, the foam defoaming method further comprises:

[0026] If the first predicted value and the second predicted value are not similar, obtaining an average value of the first predicted value and the second predicted value;

[0027] The defoamer is dosed according to the average value.

[0028] By adopting the above technical solution, the first predicted amount is obtained through the model based on the slurry pressure and concentration, reflecting the influence of the internal characteristics of the slurry on the amount of defoamer; the second predicted amount is generated by a special model based on the foam coverage area, focusing on the demand for the amount of foam external performance. The dissimilarity between the two indicates that there are large differences in the amount of defoamer predicted from different angles. At this time, taking the average value can comprehensively consider the prediction results based on two different dimensions of slurry characteristics and foam appearance, avoid over-reliance on a single prediction method, and make the decision on the amount of release more comprehensive.

[0029] Optionally, the foam defoaming method further comprises:

[0030] After the defoaming agent is added, judging whether the foam is completely eliminated according to the image information;

[0031] If not, the residual area of ​​the residual foam is obtained;

[0032] The residual area and the set duration are input into a pre-built ultrasonic device control model to obtain the output power of the ultrasonic device.

[0033] By adopting the above technical solution, after the defoamer is added, it is judged whether the foam is completely eliminated based on the image information. If it is not completely eliminated, the residual area of ​​the residual foam is obtained. This process realizes the accurate evaluation of the foam treatment effect, can timely discover the residual foam problem, and provide an accurate basis for subsequent targeted treatment. By obtaining the residual area, the degree of foam residue can be accurately understood, providing a quantitative basis for taking appropriate measures. The residual area and the set duration are input into the pre-built ultrasonic equipment control model to obtain the output power, realizing the intelligent and precise control of the ultrasonic equipment. This control method can reasonably adjust the output power of the ultrasonic equipment according to the actual foam residue situation, avoiding the ineffective operation or excessive operation of the equipment. Compared with the fixed power operation mode, the power can be flexibly adjusted according to the actual needs, which improves the operation efficiency of the equipment. By accurately controlling the output power of the ultrasonic equipment, while meeting the demand for eliminating residual foam, energy waste is avoided. Dynamically adjust the power according to the actual foam residual area and the set duration to ensure that the equipment operates at the necessary power level, effectively reducing energy consumption and thus saving production costs.

[0034] Optionally, the step after obtaining the output power of the ultrasonic device includes:

[0035] Determining whether the output power is less than the maximum power;

[0036] If yes, controlling the action of the ultrasonic device according to the output power and the set duration;

[0037] If not, the set power and the residual area are input into the ultrasonic device control model again to obtain the operation time of the ultrasonic device;

[0038] The action of the ultrasonic device is controlled according to the operation duration and the set power.

[0039] By adopting the above technical solution, it is possible to effectively prevent the ultrasonic equipment from operating beyond its rated power by judging whether the output power is less than the maximum power. If the output power reaches or exceeds the maximum power, continuing to operate at this power may cause the equipment to overheat, damage, or even cause a safety accident. Through this judgment mechanism, it can be ensured that the equipment always operates within a safe power range, extend the service life of the equipment, and ensure the safety and stability of the production process. When the output power is less than the maximum power, the equipment action is directly controlled according to this power, so that the equipment can operate efficiently within its performance range, give full play to the normal defoaming ability of the equipment, and also ensure the effect of treating residual foam. This reasonable control based on equipment performance helps to maintain the stable performance output of the equipment and improve production efficiency. When the output power reaches the maximum power, the set power and residual area are input into the ultrasonic equipment control model again to obtain the operation time, which provides a flexible and effective solution for treating stubborn foam, so that the equipment can operate without exceeding the maximum power, and increase the effect of ultrasonic waves on residual foam from the time dimension.

[0040] Optionally, the step after obtaining the operation time of the ultrasonic device includes:

[0041] Determining whether the operation duration exceeds the expected duration;

[0042] If yes, increase the set power according to the set reference power;

[0043] Obtaining a new operation duration according to the increased set power and the regulation model;

[0044] The action of the ultrasonic device is controlled according to the increased set power and the new operation duration.

[0045] By adopting the above technical solution, it is possible to timely find out whether the foam treatment process meets the expected production rhythm by judging whether the operation time exceeds the expected time. If the operation time exceeds the expected time, it means that according to the current power and time settings, the foam treatment efficiency is low, which may affect the progress of the entire production process. Through this judgment mechanism, measures can be taken quickly to optimize the treatment efficiency and ensure that the production can be completed on time. When the operation time exceeds the expected time, increasing the set power according to the set reference power can increase the processing strength of the ultrasonic equipment, so that the ultrasonic wave has a stronger effect on the residual foam, thereby accelerating the foam elimination speed; this dynamic power adjustment method flexibly changes the working intensity of the equipment according to the difference between the actual processing time and the expected time, which helps to meet the production requirements for foam treatment efficiency. Improving the processing efficiency by adjusting the power instead of blindly extending the operation time helps to avoid the ultrasonic equipment from being in a high-load operation state for a long time. Long-term overtime operation may not only cause premature wear of the equipment, but also increase energy consumption and equipment maintenance costs. By reasonably adjusting the power, while ensuring the treatment effect, the unnecessary operation time of the equipment can be reduced, the service life of the equipment can be extended, and the production cost can be reduced.

[0046] Optionally, the foam defoaming method further comprises:

[0047] Before adding the defoaming agent, judging whether the foam is distributed in a concentrated or dispersed manner according to the image information;

[0048] If the foam is concentrated, the foam concentration area is determined to be located at the occurrence position in the pulp pool;

[0049] Adding a defoaming agent to the occurrence location;

[0050] If it is dispersed, add defoamer to the stirring area.

[0051] By adopting the above technical solution, when it is determined that the foam is concentrated, the location where it occurs in the pulp pool is determined, and the defoamer is accurately placed at that location. Compared with indiscriminate placement in the entire pulp pool, this method enables the defoamer to act directly on the foam concentration area, quickly contact the foam and take effect, greatly improving the utilization efficiency of the defoamer and reducing unnecessary waste. For dispersed foam, the defoamer is placed at the stirring point. The stirring point is an area where the slurry flows and mixes more violently. After the defoamer is added here, it can be quickly dispersed in the slurry with the help of the stirring force, more effectively covering the dispersed foam, and also improving the efficiency of the defoamer in the dispersed foam scenario. Automatically judging the foam distribution and deciding the placement location of the defoamer based on image information reflects the improvement of the intelligence of the production process. The decision-making method based on real-time monitoring and data analysis reduces manual intervention, improves the accuracy and timeliness of decision-making, and makes the production process more automated and intelligent.

[0052] In the second aspect, the present application provides a foam defoaming system for a slurry pool in waste gas desulfurization, which adopts the following technical solution:

[0053] A foam defoaming system for a slurry pool in waste gas desulfurization, comprising:

[0054] An image acquisition module is used to collect image information of the pulp pool;

[0055] A judging module, used for judging whether there is foam in the pulp pool according to the image information;

[0056] A data acquisition module, used for acquiring the current slurry pressure and current slurry concentration in the slurry pool when the judgment module judges that it is yes;

[0057] A prediction module, used for inputting the current slurry pressure and the current slurry concentration into a pre-constructed first defoaming agent dosage prediction model to obtain a first predicted dosage of the defoaming agent;

[0058] The control module is used to control the defoaming equipment to add defoaming agent into the pulp pool according to the first predicted quantity.

[0059] By adopting the above technical solution, by collecting pulp pool image information and automatically judging whether foam is generated, real-time and automatic monitoring of the pulp pool status is achieved, without the need for frequent manual inspections, saving labor costs, improving monitoring efficiency and accuracy, and being able to promptly detect foam generation and avoid problems caused by manual negligence. By using the pre-constructed first defoamer dosage prediction model, the first predicted dosage of defoamer dosage is accurately predicted based on the slurry pressure and concentration. Compared with dosage based on experience or fixed dosage, more accurate defoamer dosage can be achieved, avoiding waste or cost increase caused by excessive defoamer dosage, and preventing poor defoaming effect caused by insufficient dosage. It can be seen that it has the beneficial effects of improving labor efficiency and reducing dependence on personnel experience.

[0060] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0061] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned foam defoaming method for a slurry pool in exhaust gas desulfurization.

[0062] In summary, the present application has at least the following beneficial effects:

[0063] 1. Input the current slurry pressure and current slurry concentration into the first defoamer dosage prediction model to obtain the first predicted dosage of the defoamer, and the purpose of adding the defoamer into the pulp pool according to the first predicted dosage is to collect pulp pool image information and automatically determine whether foam is generated, so as to realize real-time and automatic monitoring of the pulp pool state, without the need for frequent manual inspection, saving labor costs, improving monitoring efficiency and accuracy, and being able to timely detect foam generation and avoid problems caused by manual negligence. By using the pre-constructed first defoamer dosage prediction model, the first predicted dosage of the defoamer can be accurately predicted according to the slurry pressure and concentration. Compared with the dosage based on experience or fixed dosage, more accurate defoamer dosage can be achieved, avoiding waste or cost increase caused by excessive defoamer dosage, and preventing poor defoaming effect caused by too little dosage. It can be seen that it has the beneficial effects of improving labor efficiency and reducing dependence on personnel experience.

[0064] 2. The purpose of judging whether the first difference between the first predicted amount and the historical delivery amount is greater than the first threshold is to input the coverage area of ​​the foam in the image information into the second delivery amount prediction model when the first difference is greater than the first threshold, and obtain the second predicted amount of defoamer delivery, so that when the first predicted amount and the second predicted amount are similar, the larger predicted amount is selected as the current delivery amount, which can effectively avoid insufficient defoamer delivery due to prediction deviation, thereby improving the delivery accuracy of the defoamer. Although the larger value selected from two similar predicted amounts as the delivery amount may slightly increase the amount of defoamer used, the defoaming effect can be guaranteed. This avoids the situation where the defoamer is repeatedly delivered due to too little delivery, and reduces the additional operating costs and time costs caused by poor defoaming effect. Overall, the use efficiency of the defoamer is improved, so that each unit of defoamer can play a better defoaming role, which helps to reduce the overall use cost of the defoamer.

[0065] 3. After the defoamer is added, the purpose of judging whether the foam is completely eliminated based on the image information is to obtain the residual area of ​​the residual foam if it is not completely eliminated. This process realizes the accurate evaluation of the foam treatment effect, can timely discover the residual foam problem, and provide an accurate basis for subsequent targeted treatment. By obtaining the residual area, the degree of foam residue can be accurately understood, providing a quantitative basis for taking appropriate measures. The residual area and the set duration are input into the pre-built ultrasonic equipment control model to obtain the output power, realizing the intelligent and precise control of the ultrasonic equipment. This control method can reasonably adjust the output power of the ultrasonic equipment according to the actual foam residue situation, avoiding the ineffective operation or excessive operation of the equipment. Compared with the fixed power operation mode, the power can be flexibly adjusted according to actual needs, which improves the operation efficiency of the equipment. By accurately controlling the output power of the ultrasonic equipment, while meeting the demand for eliminating residual foam, energy waste is avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a flowchart of an implementation method of Example 1 of the present application;

[0067] Figure 2 It is a flowchart of another implementation method of the method embodiment of the present application;

[0068] Figure 3 It is a flowchart of the steps that can be performed after the defoaming agent is added for defoaming in the present application;

[0069] Figure 4 It is a flowchart of the steps that can be executed after S330;

[0070] Figure 5 It is a flowchart of the steps that can be executed after S370 and before S380;

[0071] Figure 6 It is a structural block diagram of an embodiment of the system of the present application.

[0072] Explanation of the accompanying drawings: 101, image acquisition module; 102, judgment module; 103, data acquisition module; 104, prediction module; 105, control module. DETAILED DESCRIPTION

[0073] To make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the appended drawings of the embodiments of the present invention. Figure 1 -Attached Figure 6 , the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. 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.

[0074] The first embodiment of the present application discloses a foam defoaming method for a slurry pool in waste gas desulfurization. Figure 1 As an embodiment of the foam defoaming method, the foam defoaming method may include S110-S160:

[0075] S110, collecting image information of the pulp pool;

[0076] S120, judging whether there is foam in the pulp pool according to the image information;

[0077] S130, if yes, then obtain the current slurry pressure and current slurry concentration in the slurry pool;

[0078] S140, inputting the current slurry pressure and the current slurry concentration into a pre-constructed first defoaming agent dosage prediction model to obtain a first predicted dosage of the defoaming agent;

[0079] S150, adding a defoaming agent into the pulp tank according to the first predicted amount;

[0080] S160, if not, no response.

[0081] Specifically, a camera is installed at the pulp pool to collect image information at the pulp pool and identify whether there is foam in the pulp pool through a conventional image recognition algorithm. If so, the current slurry pressure in the pulp pool can be obtained through a pressure sensor arranged on the inner wall of the pulp pool, and the current slurry concentration in the pulp pool can be obtained through an optical concentration meter.

[0082] The prediction model of the first dosage of defoamer can adopt the multivariate linear regression model + ;in, , , is the regression coefficient. The regression coefficient is estimated using the least squares method , , The goal is to find a set of coefficients such that With the model prediction value The sum of squared errors between them is the smallest, that is: = = ; For Q, respectively Find the partial derivatives and set them to 0, and we get the following system of equations:

[0083] =-2 =0, =-2 =0, =-2 =0

[0084] Solving the system of equations gives the regression coefficients .

[0085] Then the goodness of fit test is performed by calculating the determination coefficient , to measure how well the model fits the data. The value is between (0, 1). The closer it is to 1, the better the model fitting effect. The calculation formula is:

[0086] = ;in, is the observed value The mean of .

[0087] For example, 10 sets of data are selected from the historical database, and the regression coefficient is obtained by combining the 10 sets of data to establish the initial defoamer first dosage prediction model. =0.1, then the first delivery quantity prediction model is =-4.5+0.005 +0.1 If the current slurry pressure is 1450Pa and the current slurry concentration is 68g / L, then inputting it into the first dosage prediction model yields =9.55mL.

[0088] After obtaining the first predicted amount of defoaming agent dosage, the historical dosage that matches the current slurry pressure and the current slurry concentration can be searched in the historical dosage database. The matching characterization is that if the absolute value of the error value between the current slurry pressure and a certain historical slurry pressure and the absolute value of the error value between the current slurry concentration and a certain historical slurry concentration are both less than or equal to the error threshold, then the historical dosage corresponding to the historical slurry pressure and the historical slurry concentration is the matched historical dosage. If found, it is determined whether the first difference between the first predicted amount and the historical dosage is greater than the first threshold. If not, defoaming agent is added to the pulp pool according to the first predicted amount. If so, S210-S270 can be executed. It should be noted that if multiple matching historical dosages are found, and the first difference between the first predicted amount and the historical dosage is less than or equal to the first threshold, defoaming agent is added to the pulp pool according to the first predicted amount; as long as there is a historical dosage corresponding to the first difference greater than the first threshold, S210-S270 can be executed. S210-S270 are as follows:

[0089] Reference Figure 2 , S210, obtaining the coverage area of ​​the foam in the image information;

[0090] S220, inputting the coverage area into a pre-constructed defoamer second dosage prediction model to obtain a second predicted dosage of the defoamer;

[0091] S230, determining whether the first predicted amount and the second predicted amount are similar;

[0092] S240, if yes, selecting the predicted amount with a larger value from the first predicted amount and the second predicted amount as the current dosage of the defoaming agent;

[0093] S250, adding defoaming agent according to the current amount;

[0094] S260, if not, obtaining an average value of the first predicted value and the second predicted value;

[0095] S270, add defoamer according to the average value.

[0096] Specifically, the area of ​​the image occupied by the foam in the image can be calculated by an image recognition algorithm. The image can also be divided into a plurality of rectangular grids, and the coverage area of ​​the foam can be obtained by summing the grid areas occupied by the foam. Then the coverage area is input into the second dosage prediction model of the defoamer to obtain the second predicted dosage of the defoamer. Then it is judged whether the first predicted dosage is similar to the second predicted dosage, and the similarity is characterized by the absolute value of the difference between the first predicted dosage and the second predicted dosage being less than or equal to the second threshold. If similar, the predicted dosage with a larger value is selected from the first predicted dosage and the second predicted dosage as the current dosage of the defoamer. For example, if the second predicted dosage is greater than the first predicted dosage, the second predicted dosage can be used as the dosage of the defoamer. If not similar, the first predicted dosage and the second predicted dosage are summed to obtain the average value, and then the defoamer is administered according to the average value.

[0097] The second delivery volume prediction model can use an exponential model , taking the natural logarithm of both sides gives . Let Y = ,A= ,B= , converted to a linear model Y=A+Bx. Then the least squares method is used to fit the data, and it is calculated that A≈-1.386, B≈0.034, then a= ≈0.25, b= ≈1.035, and the exponential model is , where x represents the coverage area of ​​the foam.

[0098] In addition, the actual value y and the predicted value can be calculated The error between them is e, e= - ; Then calculate the mean square error: MSE= , after calculation, MSE≈0.012. Mean absolute error: MAE= , we can calculate MAE≈0.09. Coefficient of determination : =1- ,in is the average value of y, and we can get ≈0.98. It is close to 1, and the MSE and MSA are small, which means that the model has a good fitting effect and there is no need to adjust the coefficients.

[0099] For example, if the foam coverage area is 60 square meters, then substitute x=60 into the second delivery prediction model to obtain ≈3.47L.

[0100] If the first predicted amount is 4 L, the difference between the first predicted amount and the second predicted amount is within the second threshold value (eg, 2 L), and since the first predicted amount is greater than the second predicted amount, the defoaming agent can be dosed according to the first predicted amount.

[0101] If the first predicted amount is 2L, the absolute value of the difference between the first predicted amount and the second predicted amount is within the second threshold, and since the second predicted amount is greater than the first predicted amount, the defoaming agent can be added according to the second predicted amount.

[0102] If the first predicted amount is 5 L, the difference between the first predicted amount and the second predicted amount is greater than the second threshold value, so the defoaming agent can be added according to the average value of the sum of the first predicted amount and the second predicted amount ((5L+3.47L) / 2=4.235L).

[0103] Further, refer to Figure 3 , the foam defoaming method also includes S310-S340:

[0104] S310, after adding the defoaming agent, judging whether the foam is completely eliminated according to the image information;

[0105] S320, if not, obtaining the residual area of ​​the residual foam;

[0106] S330, inputting the residual area and the set duration into a pre-built ultrasonic device control model to obtain the output power of the ultrasonic device;

[0107] S340, if yes, then no response.

[0108] Specifically, after the defoaming agent is added for defoaming, if it is determined through the collected image of the pulp pool that foam still remains in the pulp pool, the residual area of ​​the residual foam is obtained, and then the residual area and the set duration of the ultrasonic device startup are input into the ultrasonic device control model to obtain the output power of the ultrasonic device.

[0109] The control model is S=a , where a, b, c, d are parameters, S is the residual area of ​​residual foam, T is the ambient temperature, P is the ultrasonic power, and t is the start-up time of the ultrasonic equipment.

[0110] Taking the natural logarithm of both sides of the model, we can get , let Y = ,A= , then the model can be converted into a linear form: Y = A + bT + cP + dt; use the least squares method to fit the collected data and estimate the values ​​of parameters A, b, c, and d. For example, after calculation, A≈1.5, b≈-0.02, c≈-0.003, d≈-0.006, we can get a= ≈4.48. Therefore, the ultrasonic equipment control model S=4.48 .

[0111] In addition, the actual value S and the predicted value can be calculated The error between them is e, e= - ; Then calculate the mean square error: MSE= , after calculation, MSE≈0.009. Mean absolute error: MAE= , we can calculate that MAE≈0.07. Coefficient of determination : =1- ,in is the average value of S, and we can get ≈0.93. It is close to 1, and the MSE and MSA are small, which means that the model has a good fitting effect and there is no need to adjust the coefficients.

[0112] For example, the residual area of ​​the residual foam is S=0.3 , ambient temperature T = 28 , the ultrasonic setting time is t=40s, then P≈633W is obtained.

[0113] Further, refer to Figure 4 , after S330, you can execute S350-S380:

[0114] S350, determining whether the output power is less than the maximum power;

[0115] S360, if yes, controlling the action of the ultrasonic device according to the output power and the set duration;

[0116] S370, if not, input the set power and residual area into the ultrasonic device control model again to obtain the operation time of the ultrasonic device;

[0117] S380, controlling the action of the ultrasonic device according to the operation duration and the set power.

[0118] Specifically, for example, the maximum power of the ultrasonic device is 600W. According to the above-obtained output power P≈633W, it can be known that the output power is greater than the maximum power. Therefore, the set power and residual area can be input into the control model again to obtain the operation time of the ultrasonic device. For example, if the set power is 400W, the operation time t≈157s is obtained.

[0119] In addition, refer to Figure 5 , after S370 and before S380, you can execute S371-S374:

[0120] S371, determining whether the operation duration exceeds the expected duration;

[0121] S372, if yes, increase the set power according to the set reference power;

[0122] S373, obtaining a new operation duration according to the increased set power and the regulation model;

[0123] S374, controlling the operation of the ultrasonic device according to the increased set power and the new operation duration.

[0124] Specifically, assuming that the expected duration is 120s, according to the above-calculated operation time of 157s, it can be seen that the operation time exceeds the expected duration. Therefore, it is necessary to increase the set power according to the set benchmark power. For example, if the benchmark power is 80W, the increased set power is 480W. Therefore, the ultrasonic equipment can be controlled to operate at 480W power. According to the control model, the operation time t≈117s is obtained, so the ultrasonic equipment is controlled to operate for 117s.

[0125] Furthermore, before adding the defoamer, it is possible to determine whether the foam is concentrated or dispersed based on the image information; if it is concentrated, the foam concentration area is determined to be located at the occurrence position in the pulp pool; the defoamer is added to the occurrence position by controlling the defoamer adding device; if it is dispersed, the defoamer adding device is controlled to add the defoamer to the stirring point of the pulp pool. The stirring point of the pulp pool can be the stirring point of the pulp pool itself, or it can be an external stirring device to achieve the diffusion of the defoamer.

[0126] The implementation principle of this embodiment is:

[0127] Collect image information of the pulp pool, and judge whether there is foam in the pulp pool according to the image information; if so, obtain the current slurry pressure and current slurry concentration in the pulp pool, and input them into the first defoaming agent dosage prediction model to obtain the first predicted dosage of the defoaming agent; then search the historical dosage that matches the current slurry pressure and current slurry concentration in the historical dosage database, and judge whether the first difference between the first predicted dosage and the historical dosage is greater than the first threshold value, if so, obtain the coverage area of ​​the foam in the image information, and input the coverage area into the second defoaming agent dosage prediction model to obtain the second predicted dosage, and then judge whether the first predicted dosage is similar to the second predicted dosage, if so, select the predicted dosage with the larger value from the first predicted dosage and the second predicted dosage as the current dosage of the defoaming agent, so as to dispense the defoaming agent according to the current dosage;

[0128] After defoaming, determine whether the foam is completely eliminated based on the image information. If not, obtain the residual area of ​​the residual foam, and input the residual area and the set duration into the ultrasonic equipment control model to obtain the output power of the ultrasonic equipment, and determine whether the output power is less than the maximum power. If so, control the action of the ultrasonic equipment based on the output power and the set duration.

[0129] Based on the above method embodiment, the second embodiment of the present application discloses a foam defoaming system for a slurry pool in waste gas desulfurization. Figure 6 As an embodiment of the foam defoaming system, the foam defoaming system may include:

[0130] An image acquisition module 101 is used to acquire image information of a pulp pool;

[0131] A judgment module 102 is used to judge whether there is foam in the pulp pool according to the image information;

[0132] The data acquisition module 103 is used to acquire the current slurry pressure and current slurry concentration in the slurry pool when the judgment module 102 judges that it is yes;

[0133] The prediction module 104 is used to input the current slurry pressure and the current slurry concentration into a pre-built first defoaming agent dosage prediction model to obtain a first predicted dosage of the defoaming agent;

[0134] The control module 105 is used to control the defoaming equipment to add defoaming agent into the pulp pool according to the first predicted amount.

[0135] The modules of the foam defoaming system for a pulp pool in exhaust gas desulfurization correspond one to one with the foam defoaming method for a pulp pool in exhaust gas desulfurization, and will not be elaborated herein.

[0136] The third embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the above-mentioned foam defoaming method for a slurry pool in exhaust gas desulfurization.

[0137] Computer-readable storage media can be any available media that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives).

[0138] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application in sequence. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A foam defoaming method for a slurry pool in waste gas desulfurization, characterized in that: include: Collect image information of pulp pool; judging whether there is foam in the pulp pool according to the image information; If yes, then obtain the current slurry pressure and current slurry concentration in the slurry pool; Inputting the current slurry pressure and the current slurry concentration into a pre-constructed first defoamer dosage prediction model to obtain a first predicted dosage of the defoamer; Searching a historical delivery amount matching the current slurry pressure and the current slurry concentration in a historical delivery database; Determine whether a first difference between the first predicted amount and the historical delivery amount is greater than a first threshold; If not, adding a defoaming agent into the pulp tank according to the first predicted amount; If the first difference is greater than the first threshold, obtaining the coverage area of ​​the foam in the image information; Inputting the coverage area into a pre-constructed prediction model for the second dosage of the defoaming agent to obtain a second predicted dosage of the defoaming agent; determining whether the first predicted value and the second predicted value are similar; If yes, the predicted amount with a larger value is selected from the first predicted amount and the second predicted amount as the current dosage of the defoaming agent; Adding defoaming agent according to the current dosage; If not, obtaining an average value of the first predicted value and the second predicted value; The defoamer is dosed according to the average value.

2. A foam defoaming method for a slurry pool in waste gas desulfurization according to claim 1, characterized in that: The foam defoaming method also includes: After the defoaming agent is added, judging whether the foam is completely eliminated according to the image information; If not, the residual area of ​​the residual foam is obtained; The residual area and the set duration are input into a pre-built ultrasonic device control model to obtain the output power of the ultrasonic device.

3. A foam defoaming method for a slurry pool in waste gas desulfurization according to claim 2, characterized in that: The steps after obtaining the output power of the ultrasonic device include: Determining whether the output power is less than the maximum power; If yes, controlling the action of the ultrasonic device according to the output power and the set duration; If not, the set power and the residual area are input into the ultrasonic device control model again to obtain the operation time of the ultrasonic device; The action of the ultrasonic device is controlled according to the operation duration and the set power.

4. A foam defoaming method for a slurry pool in waste gas desulfurization according to claim 3, characterized in that: The steps after obtaining the operation time of the ultrasonic device include: Determining whether the operation duration exceeds the expected duration; If yes, increase the set power according to the set reference power; Obtaining a new operation duration according to the increased set power and the regulation model; The action of the ultrasonic device is controlled according to the increased set power and the new operation duration.

5. The foam defoaming method for a slurry pool in waste gas desulfurization according to claim 1, characterized in that: The foam defoaming method also includes: Before adding the defoaming agent, judging whether the foam is distributed in a concentrated or dispersed manner according to the image information; If the foam is concentrated, the foam concentration area is determined to be located at the occurrence position in the pulp pool; Adding a defoaming agent to the occurrence location; If it is dispersed, add defoamer to the stirring area.

6. A foam defoaming system suitable for a pulp pool in waste gas desulfurization, characterized in that: The foam defoaming method for a slurry pool in waste gas desulfurization as claimed in any one of claims 1 to 5, wherein the foam defoaming system comprises: An image acquisition module (101) is used to acquire image information of a pulp pool; A judgment module (102), configured to judge whether foam exists in the pulp pool according to the image information; A data acquisition module (103) is used to acquire the current slurry pressure and current slurry concentration in the slurry pool when the judgment module (102) judges to be yes; A prediction module (104) is used to input the current slurry pressure and the current slurry concentration into a pre-constructed first defoaming agent dosage prediction model to obtain a first predicted dosage of the defoaming agent; The control module (105) is used to control the defoaming equipment to add defoaming agent into the pulp pool according to the first predicted amount.

7. A computer-readable storage medium, characterized in that: The computer program is stored which can be loaded by a processor and execute the foam defoaming method for a pulp pool in exhaust gas desulfurization as claimed in any one of claims 1 to 5.

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