Method and device for evaluating the probability of clogging and liquid leakage of a wet desulphurization spray

Abstract

The application provides a method and device for evaluating the spray clogging and liquid leakage probability of a wet desulfurization device, and the method comprises the following steps: screening and processing the historical operation values of the operating current and outlet pressure value of each circulating pump to obtain a stable working condition database, wherein the stable working condition data comprises the historical data of the operating current and outlet pressure value of each circulating pump during normal operation; performing linear regression fitting on the operating current and outlet pressure value of each circulating pump during normal operation to obtain the outlet pressure linear regression equation of each slurry circulating pump; introducing a clogging coefficient by using the outlet pressure linear regression equation; calculating the clogging probability parameter according to the outlet pressure linear regression equation, the clogging coefficient, the real-time operating current and outlet pressure value of each slurry circulating pump; and evaluating the clogging probability of the wet desulfurization spray according to the clogging probability parameter. The application constructs the real-time quantitative evaluation index of the clogging probability parameter and the liquid leakage probability parameter of each spray layer, which can guide the safe and economic operation of the wet desulfurization process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wet desulfurization, and particularly relates to a method and device for evaluating the spray clogging and liquid leakage probability of wet desulfurization. BACKGROUND

[0002] The desulfurization slurry in the flue gas wet desulfurization process is brought into the spray layer by a slurry circulating pump, and the desulfurization slurry is atomized and sprayed out by the nozzles of the spray layer, so that the desulfurization slurry is in reverse contact with SO2 in the flue gas, thereby removing SO2 in the flue gas. The amount of the desulfurization slurry brought in by circulation and the atomization degree of the nozzles significantly restrict the removal amount and removal efficiency of SO2 in the flue gas. When the spray main pipe or the spray layer in the desulfurization tower is clogged, the amount of the circulating desulfurization slurry will be significantly reduced, thereby reducing the SO2 removal amount of the desulfurization tower and limiting the load rate of the boiler unit. In addition, when the spray main pipe or the spray layer in the desulfurization tower leaks (such as the spray head falling off, the main pipe or the spray branch pipe breaking, etc.), the atomization efficiency of the spray layer will be poor or columnar slurry flow will be formed, thereby reducing the contact area of the desulfurization slurry with SO2 in the flue gas, and thus the desulfurization efficiency of the desulfurization system will be reduced.

[0003] The current desulfurization system cannot enter the desulfurization tower to check and evaluate the clogging or liquid leakage of the spray main pipe or the spray layer in the field when the system is running, and can only enter the desulfurization tower to check in the field when the system is shut down for maintenance and the slurry in the desulfurization tower is emptied. The average check frequency is at most 2-3 times a year, and the check is a shutdown check. That is, the clogging and liquid leakage of the spray cannot be effectively evaluated in real time at the present stage. SUMMARY

[0004] In view of the above, the present application provides a method and device for evaluating the clogging and liquid leakage probability of wet desulfurization spray, to solve at least one of the above-mentioned problems.

[0005] In order to achieve the above-mentioned purpose, the present application adopts the following scheme:

[0006] According to a first aspect of the present application, a method for evaluating the clogging probability of wet desulfurization spray is provided, the method comprising: performing screening processing on the historical operation values of the operating current and outlet pressure values of each slurry circulating pump of a wet desulfurization system to obtain a stable working condition database of the each slurry circulating pump, the stable working condition data comprising historical data of the operating current and outlet pressure values of the each slurry circulating pump when the each slurry circulating pump is normally operated; performing linear regression fitting on the operating current and outlet pressure values of the each slurry circulating pump when the each slurry circulating pump is normally operated to obtain an outlet pressure linear regression equation of the each slurry circulating pump; introducing a clogging coefficient by using the outlet pressure linear regression equation; calculating a clogging probability parameter according to the outlet pressure linear regression equation, the clogging coefficient, and the real-time operating current and outlet pressure values of each slurry circulating pump; and evaluating the clogging probability of wet desulfurization spray according to the clogging probability parameter.

[0007] According to a second aspect of the present application, a method for evaluating a wet desulphurization spray leakage probability is provided, the method comprising: screening historical operation values of operation current and outlet pressure values of each slurry circulating pump of a wet desulphurization system to obtain a stable working condition database of each slurry circulating pump, the stable working condition data comprising historical data of operation current and outlet pressure values when each slurry circulating pump is normally operated; performing linear regression fitting on the operation current and outlet pressure values when each slurry circulating pump is normally operated to obtain an outlet pressure linear regression equation of each slurry circulating pump; introducing a leakage coefficient by using the outlet pressure linear regression equation; calculating a leakage probability parameter according to the outlet pressure linear regression equation, the leakage coefficient, real-time operation current and outlet pressure values of each slurry circulating pump; and evaluating the wet desulphurization spray leakage probability according to the leakage probability parameter.

[0008] According to a third aspect of the present application, a device for evaluating a wet desulphurization spray blockage probability is provided, the device comprising: a screening unit configured to screen historical operation values of operation current and outlet pressure values of each slurry circulating pump of a wet desulphurization system to obtain a stable working condition database of each slurry circulating pump, the stable working condition data comprising historical data of operation current and outlet pressure values when each slurry circulating pump is normally operated; a regression fitting unit configured to perform linear regression fitting on the operation current and outlet pressure values when each slurry circulating pump is normally operated to obtain an outlet pressure linear regression equation of each slurry circulating pump; a parameter calculation unit configured to introduce a blockage coefficient by using the outlet pressure linear regression equation, and calculate a blockage probability parameter according to the outlet pressure linear regression equation, the blockage coefficient, real-time operation current and outlet pressure values of each slurry circulating pump; and a blockage evaluation unit configured to evaluate the wet desulphurization spray blockage probability according to the blockage probability parameter.

[0009] According to a fourth aspect of the present application, a device for evaluating a wet desulphurization spray leakage probability is provided, the device comprising: a screening unit configured to screen historical operation values of operation current and outlet pressure values of each slurry circulating pump of a wet desulphurization system to obtain a stable working condition database of each slurry circulating pump, the stable working condition data comprising historical data of operation current and outlet pressure values when each slurry circulating pump is normally operated; a regression fitting unit configured to perform linear regression fitting on the operation current and outlet pressure values when each slurry circulating pump is normally operated to obtain an outlet pressure linear regression equation of each slurry circulating pump; a parameter calculation unit configured to introduce a leakage coefficient by using the outlet pressure linear regression equation, and calculate a leakage probability parameter according to the outlet pressure linear regression equation, the leakage coefficient, real-time operation current and outlet pressure values of each slurry circulating pump; and a leakage evaluation unit configured to evaluate the wet desulphurization spray leakage probability according to the leakage probability parameter.

[0010] According to a fifth aspect of the present application, there is provided an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0011] According to a sixth aspect of the present application, there is provided a computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the above method.

[0012] According to a seventh aspect of the present application, there is provided a computer program product comprising computer programs / instructions, wherein the computer programs / instructions, when executed by a processor, implement the steps of the above method.

[0013] The present application is based on the operating current and outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, and builds the real-time quantitative evaluation indexes of the blockage probability parameter and the leakage probability parameter of each spray layer, and based on these real-time quantitative evaluation indexes, sets qualitative evaluation rules to evaluate the blockage probability and the leakage probability of the wet desulfurization spray, so as to guide the safe and economic operation of the wet desulfurization process. BRIEF DESCRIPTION OF DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor. In the drawings:

[0015] Figure 1 is a method flowchart for evaluating the blockage probability of the wet desulfurization spray provided by the embodiments of the present application;

[0016] Figure 2 is a flowchart of historical operating value screening processing of the slurry circulating pump provided by the embodiments of the present application;

[0017] Figure 3 is a linear fitting diagram between the operating current and the outlet pressure value of the slurry circulating pump provided by the embodiments of the present application;

[0018] Figure 4 is a method flowchart for evaluating the leakage probability of the wet desulfurization spray provided by the embodiments of the present application;

[0019] Figure 5 is a device structure diagram for evaluating the blockage probability of the wet desulfurization spray provided by the embodiments of the present application;

[0020] Figure 6is a structural schematic diagram of a screening unit provided by an embodiment of the present application.

[0021] Figure 7 is a structural schematic diagram of a device for evaluating a wet desulfurization spray leakage probability provided by an embodiment of the present application.

[0022] Figure 8 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of embodiments of the present application clearer, further detailed descriptions of the embodiments of the present application are given below with reference to the drawings. Here, the illustrative embodiments of the present application and their descriptions are used to explain the present application but are not used as limitations of the present application.

[0024] As Figure 1 shown is a method flow schematic diagram of a method for evaluating a wet desulfurization spray clogging probability provided by an embodiment of the present application, the method comprising the following steps:

[0025] Step S101: screening and processing historical operation values of operating currents and outlet pressure values of each slurry circulating pump of a wet desulfurization system to obtain a stable working condition database of the each slurry circulating pump, wherein the stable working condition data comprises historical data of operating currents and outlet pressure values when the each slurry circulating pump is normally operated.

[0026] In the embodiment, the historical operation values of operating currents and outlet pressure values of each slurry circulating pump of a wet desulfurization system need to be collected first, which can be collected in units of year, month, week, or day. The longer the time period of collection is, the more accurate the subsequent clogging probability evaluation is. Then, the collected data is screened to eliminate unnecessary data and leave the operating currents and outlet pressure values when each slurry circulating pump is normally operated, which are stored as a stable working condition database.

[0027] Preferably, as Figure 2 shown is a flow schematic diagram of a slurry circulating pump historical operation value screening process provided by an embodiment of the present application, which can comprise the following steps:

[0028] Step S1011: According to the first preset threshold, the running current and outlet pressure value data of each slurry circulating pump when it is stopped are zeroed. Due to the vibration of the desulfurization equipment itself and other reasons, the current meter and outlet pressure gauge installed on the slurry circulating pump will not be zeroed when the slurry circulating pump is stopped, so the data when it is stopped needs to be zeroed. In this embodiment, the first preset threshold of the running current can be 10A, and the first preset threshold of the outlet pressure can be 5kPa, so the data of the current less than 10A and the pressure less than 5kPa needs to be zeroed. It should be pointed out that the first preset threshold is different according to different desulfurization systems, such as system size, number of slurry circulating pumps, etc., and the value of the setting is also different, which can be set according to the actual situation.

[0029] Step S1012: According to the second preset threshold, the running current and outlet pressure value data of each slurry circulating pump during start-stop process are zeroed. During the start-stop process of the slurry circulating pump, the outlet pressure value of the running current will change rapidly, so this part of data also needs to be zeroed. Assuming that the second threshold and the first threshold are the same, in this embodiment, it is also set to 10A of running current and 5kPa of outlet pressure, then the data between 10A of running current and the minimum current value of each slurry circulating pump during normal operation needs to be zeroed, and the data between 5kPa of outlet voltage and the minimum outlet voltage value of each slurry circulating pump during normal operation needs to be removed. Of course, the setting of the second threshold can also be reasonably set according to the actual situation of the system.

[0030] Step S1013: The running current and outlet pressure value data of each slurry circulating pump under abnormal working conditions are zeroed. In this embodiment, the abnormal working conditions can include, for example, blockage of the spray main pipe or the spray layer, nozzle falling off of the spray layer, breakage of the spray main pipe or the spray layer, and slurry leakage points.

[0031] Preferably, step S1013 can specifically be performed by drawing a linear fitting graph between the running current and the outlet pressure value of each slurry circulating pump, screening out abnormal working condition points far from the fitting line, and zeroing the running current and outlet pressure value data corresponding to the abnormal working condition points. As shown in Figure 3 The linear fitting graph between the running current and the outlet pressure value of each slurry circulating pump provided by the embodiment of the application is shown in Figure 3 As can be seen, the normal working condition points are near the fitting line, and the abnormal working condition points are far from the fitting line, so the abnormal working condition points can be screened out and their data can be zeroed.

[0032] Step S102: Linear regression fitting is performed on the running current and outlet pressure values of the slurry circulating pumps in normal operation to obtain the outlet pressure linear regression equation of the slurry circulating pumps.

[0033] Preferably, the outlet pressure linear regression equation of the slurry circulating pumps can be:

[0034] P i i =A i +B i ×I i

[0035] i: the number of the slurry circulating pump, which can be sequentially numbered by numbers or letters;

[0036] P i : the outlet pressure value of the slurry circulating pump, in kPa;

[0037] A i : the constant term of the regression equation of the slurry circulating pump, which is dimensionless;

[0038] B i : the independent variable coefficient of the regression equation of the slurry circulating pump, which is dimensionless;

[0039] I i : the running current value of the slurry circulating pump, in A.

[0040] Step S103: Introducing a blockage coefficient by using the outlet pressure linear regression equation.

[0041] In the embodiment, the blockage can be the blockage of the spray main pipe or the blockage of the spray layer.

[0042] Preferably, the blockage coefficient can normalize the blockage of the spray main pipe and the spray layer corresponding to each slurry circulating pump, that is, the actual blockage degree of each slurry circulating pump corresponding to the same blockage probability is consistent. The blockage coefficient can be obtained by the following formula:

[0043]

[0044] i: the number of the slurry circulating pump, which can be sequentially numbered by numbers or letters;

[0045] B i : the independent variable coefficient of the regression equation of the slurry circulating pump, which is dimensionless;

[0046] C i : the blockage coefficient of the slurry circulating pump, which is dimensionless.

[0047] Step S104: Calculating the blockage probability parameter according to the outlet pressure linear regression equation, the blockage coefficient, the real-time running current and outlet pressure value of each slurry circulating pump.

[0048] Preferably, the plugging probability parameter can be obtained by the following formula:

[0049]

[0050] i: each slurry circulating pump number;

[0051] C i : each slurry circulating pump plugging coefficient, dimensionless;

[0052] A i : each slurry circulating pump regression equation constant term, dimensionless;

[0053] B i : each slurry circulating pump regression equation independent variable coefficient, dimensionless;

[0054] P ix : each slurry circulating pump real-time outlet pressure value, unit: kPa;

[0055] I ix : each slurry circulating pump real-time operating current value, unit: A;

[0056] T ix : each slurry circulating pump corresponding to the real-time plugging probability parameter of the spray main pipe and the spray layer, between 0%-100%.

[0057] Step S105: According to the plugging probability parameter, the plugging probability of the wet desulfurization spray is evaluated. In the embodiment, the real-time quantitative evaluation index of the plugging probability parameter can be obtained by the above-mentioned step S104, and according to the plugging probability parameter, a certain qualitative evaluation rule needs to be set to evaluate the size of the plugging probability of the wet desulfurization spray, so as to guide the system maintenance of the operating personnel.

[0058] Preferably, in the embodiment, the qualitative evaluation rule can include the following rules:

[0059] When 0≤T ix ≤50%, it is evaluated that the spray main pipe and the spray layer corresponding to the slurry circulating pump do not exist the plugging risk, and the smaller the T ix value, the smaller the plugging risk;

[0060] When 50%<T ix < preset control value, it is evaluated that the spray main pipe and the spray layer corresponding to the slurry circulating pump exist the plugging risk, and the larger the T ix value, the larger the plugging probability, and the preset control value can be set to 90%, which can be adjusted according to the operation experience.

[0061] When the preset control value≤T ixWhen the value is less than or equal to 100%, it is evaluated that the corresponding spray main pipe and spray layer of the slurry circulating pump has a significant clogging phenomenon.

[0062] It should be noted that the above is only a numerical example of the evaluation rule, and those skilled in the art can set it according to the actual situation, such as setting it more leniently or more strictly to evaluate the clogging probability of the current wet desulfurization spray. In actual application, the evaluation rule can be realized by computer software, and the evaluation conclusion of the clogging probability can be directly output according to the clogging probability parameter.

[0063] Based on the operating current and outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, the application constructs the clogging probability parameter of each spray layer as a real-time quantitative evaluation index, and based on these real-time quantitative evaluation indexes, a qualitative evaluation rule is set to evaluate the clogging probability of the wet desulfurization spray, so as to guide the safe and economic operation of the wet desulfurization process.

[0064] As shown in Figure 4 is a flowchart of a method for evaluating the wet desulfurization spray leakage probability provided by the embodiment of the application, and the method comprises the following steps:

[0065] S401: The historical operating values of the operating current and outlet pressure value of each slurry circulating pump of the wet desulfurization system are screened to obtain a stable operating condition database of each slurry circulating pump, and the stable operating condition data comprises historical data of the operating current and outlet pressure value of each slurry circulating pump when it is normally operated.

[0066] S402: Linear regression fitting is performed on the operating current and outlet pressure value of each slurry circulating pump when it is normally operated to obtain an outlet pressure linear regression equation of each slurry circulating pump.

[0067] In the embodiment, the description of steps S401 and S402 can refer to the corresponding description of steps S101 and S102 in the above embodiment, and will not be repeated here.

[0068] S403: The leakage coefficient is introduced by using the outlet pressure linear regression equation.

[0069] In the embodiment, the leakage may be the nozzle falling of the spray layer, or may be the fracture and slurry leakage point of the spray main pipe or the spray layer.

[0070] Preferably, the leakage coefficient can normalize the leakage of the spray main pipe and the spray layer corresponding to each slurry circulating pump, that is, under the same leakage probability, the actual leakage degree of the leakage of the spray main pipe and the spray layer corresponding to each slurry circulating pump is consistent.

[0071] The leakage coefficient can be obtained by the following formula:

[0072]

[0073] i: each slurry circulating pump number, which can be sequentially numbered by numbers or letters;

[0074] A i : each slurry circulating pump regression equation constant term, dimensionless;

[0075] B i : each slurry circulating pump regression equation independent variable coefficient, dimensionless;

[0076] I ix : each slurry circulating pump real-time running current value, unit: A;

[0077] D ix : each slurry circulating pump real-time leakage coefficient, dimensionless.

[0078] S404: According to the outlet pressure linear regression equation, the leakage coefficient, each slurry circulating pump real-time running current and outlet pressure value, the leakage probability parameter is calculated.

[0079] Preferably, the leakage probability parameter can be obtained by the following formula:

[0080]

[0081] i: each slurry circulating pump number;

[0082] D ix : each slurry circulating pump real-time leakage coefficient, dimensionless;

[0083] A i : each slurry circulating pump regression equation constant term, dimensionless;

[0084] B i : each slurry circulating pump regression equation independent variable coefficient, dimensionless;

[0085] P ix : each slurry circulating pump real-time outlet pressure value, unit: kPa;

[0086] I ix : each slurry circulating pump real-time running current value, unit: A;

[0087] L ix : each slurry circulating pump corresponding to the real-time leakage probability parameter of the spray main pipe and the spray layer, between 0%-100%.

[0088] S405: According to the leakage probability parameter, the leakage probability of the wet desulfurization spray is evaluated. In the embodiment, the real-time quantitative evaluation index of the leakage probability parameter can be obtained through the step S404, and a certain qualitative evaluation rule is set according to the leakage probability parameter to evaluate the size of the leakage probability of the wet desulfurization spray, thereby guiding the system maintenance of the operating personnel.

[0089] Preferably, in the embodiment, the qualitative evaluation rule can include the following rules:

[0090] When 0≤L ix ≤50%, it is evaluated that the slurry circulating pump corresponding to the spray main pipe and the spray layer does not exist the risk of leakage, and the smaller the L ix value, the smaller the risk of leakage;

[0091] When 50%<L ix <a preset control value, it is evaluated that the slurry circulating pump corresponding to the spray main pipe and the spray layer exists the risk of leakage, and the larger the L ix value, the larger the leakage probability, and the preset control value can be set to 90%, which can be adjusted according to the operation experience.

[0092] When the preset control value≤L ix ≤100%, it is evaluated that the slurry circulating pump corresponding to the spray main pipe and the spray layer has a significant leakage phenomenon.

[0093] It should be pointed out that the above is only a numerical example of the evaluation rule, and a person skilled in the art can set it according to the actual situation, such as setting it from wide to strict to evaluate the size of the leakage probability of the current wet desulfurization spray.

[0094] Based on the operation current and outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, the leakage probability parameter of each spray layer, which is a real-time quantitative evaluation index, is constructed, and based on the real-time quantitative evaluation index, a qualitative evaluation rule is set to evaluate the leakage probability of the wet desulfurization spray, thereby guiding the safe and economic operation of the wet desulfurization process.

[0095] As Figure 5 shown is a device structure schematic diagram for evaluating the clogging probability of the wet desulfurization spray provided by the embodiment, which includes a screening unit 510, a regression fitting unit 520, a parameter calculation unit 530 and a clogging evaluation unit 540, which are sequentially connected.

[0096] The screening unit 510 is configured to screen historical operation values of the operation current and the outlet pressure value of each slurry circulating pump of the wet desulfurization system to obtain a stable working condition database of each slurry circulating pump, wherein the stable working condition database comprises historical data of the operation current and the outlet pressure value of each slurry circulating pump in normal operation.

[0097] The regression fitting unit 520 is configured to perform linear regression fitting on the operation current and the outlet pressure value of each slurry circulating pump in normal operation to obtain an outlet pressure linear regression equation of each slurry circulating pump.

[0098] The parameter calculation unit 530 is configured to introduce a blockage coefficient into the outlet pressure linear regression equation and calculate a blockage probability parameter according to the outlet pressure linear regression equation, the blockage coefficient, and real-time operation current and outlet pressure value of each slurry circulating pump.

[0099] The blockage evaluation unit 540 is configured to evaluate the blockage probability of the wet desulfurization spray according to the blockage probability parameter.

[0100] Preferably, as shown in the figure, the screening unit 510 can comprise a first processing module 511, a second processing module 512, a third processing module 513 and a storage module 514 connected in sequence, wherein: Figure 6

[0101] The first processing module 511 is configured to perform zero processing on the operation current and the outlet pressure value data of each slurry circulating pump in shutdown according to a first preset threshold.

[0102] The second processing module 512 is configured to perform zero processing on the operation current and the outlet pressure value data of each slurry circulating pump in the start-stop process according to a second preset threshold.

[0103] The third processing module 513 is configured to perform zero processing on the operation current and the outlet pressure value data of each slurry circulating pump in abnormal working condition. Preferably, the third processing module can first draw a linear fitting graph between the operation current and the outlet pressure value of each slurry circulating pump, then screen out abnormal working condition points far away from the fitting line, and then perform zero processing on the operation current and the outlet pressure value data corresponding to the abnormal working condition points.

[0104] The storage module is configured to store the data processed by the first processing module 511, the second processing module 512 and the third processing module 513 into the stable working condition database.

[0105] Preferably, the outlet pressure linear regression equation obtained after the regression fitting unit 520 performs regression fitting can be:

[0106] P i =A i +B i ​X i

[0107] In the above formula, i is the number of each slurry circulating pump; P i is the outlet pressure value of each slurry circulating pump, in units of kPa; A i is the constant term of the regression equation of each slurry circulating pump, dimensionless; B i is the independent variable coefficient of the regression equation of each slurry circulating pump, dimensionless; I i is the operating current value of each slurry circulating pump, in units of A.

[0108] Preferably, the plugging coefficient equation introduced by the parameter calculation unit 530 can be:

[0109]

[0110] In the above formula, i is the number of each slurry circulating pump; C i is the plugging coefficient of each slurry circulating pump, dimensionless; B i is the independent variable coefficient of the regression equation of each slurry circulating pump, dimensionless.

[0111] Preferably, the plugging probability parameter is calculated by the parameter calculation unit 530 through the following equation:

[0112]

[0113] In the above formula, C i is the plugging coefficient of each slurry circulating pump, dimensionless; A i is the constant term of the regression equation of each slurry circulating pump, dimensionless; B i is the independent variable coefficient of the regression equation of each slurry circulating pump, dimensionless; P ix is the real-time outlet pressure value of each slurry circulating pump, in units of kPa; I ix is the real-time operating current value of each slurry circulating pump, in units of A; T ix is the real-time plugging probability parameter of each slurry circulating pump corresponding to the spray main pipe and the spray layer, between 0% and 100%.

[0114] Preferably, the plugging evaluation unit 540 evaluates the plugging probability of the wet desulfurization spray according to the following rules:

[0115] When 0≤T ix ≤50%, it is evaluated that there is no plugging risk for the spray main pipe and the spray layer corresponding to the slurry circulating pump, and the smaller the value of T ix , the smaller the plugging risk;

[0116] When 50% < T ix < the preset control value, it is evaluated that there is a plugging risk for the spray main pipe and the spray layer corresponding to the slurry circulating pump, and the smaller the value of T ixThe greater the value, the greater the probability of blockage;

[0117] When the preset control value <= T ix When the preset control value <= T

[0118] It should be noted that the above is only a numerical example of the evaluation rule, and those skilled in the art can set it according to the actual situation, such as setting it from a wide or strict setting to evaluate the current wet desulfurization spray blockage probability.

[0119] The device for evaluating the wet desulfurization spray blockage probability provided in the application can construct the blockage probability parameter of each spray layer as a real-time quantitative evaluation index based on the operating current and outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, and evaluate the blockage probability of the wet desulfurization spray based on these real-time quantitative evaluation indexes and qualitative evaluation rules, thereby guiding the safe and economic operation of the wet desulfurization process.

[0120] As Figure 7 The device for evaluating the wet desulfurization spray blockage probability provided in the application can construct the blockage probability parameter of each spray layer as a real-time quantitative evaluation index based on the operating current and outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, and evaluate the blockage probability of the wet desulfurization spray based on these real-time quantitative evaluation indexes and qualitative evaluation rules, thereby guiding the safe and economic operation of the wet desulfurization process.

[0121] The screening unit 710 is used for screening the historical operating values of the operating current and outlet pressure value of each slurry circulating pump of the wet desulfurization system to obtain a stable working condition database of each slurry circulating pump, and the stable working condition data includes the historical data of the operating current and outlet pressure value of each slurry circulating pump when it is normally operated.

[0122] The regression fitting unit 720 is used for linearly regressing and fitting the operating current and outlet pressure value of each slurry circulating pump when it is normally operated to obtain an outlet pressure linear regression equation of each slurry circulating pump.

[0123] The parameter calculation unit 730 is used for introducing a leakage coefficient into the outlet pressure linear regression equation, and calculating a leakage probability parameter according to the outlet pressure linear regression equation, the leakage coefficient, and the real-time operating current and outlet pressure value of each slurry circulating pump.

[0124] The leakage evaluation unit 740 is used for evaluating the leakage probability of the wet desulfurization spray according to the leakage probability parameter.

[0125] In the embodiment, the screening unit 710 and the regression fitting unit 720 described above can refer to the descriptions of the corresponding units in Figure 5 , and will not be described here again.

[0126] Preferably, the parameter calculation unit 730 introduces the leakage coefficient equation as follows:

[0127]

[0128] In the above equation, i is the number of each slurry circulating pump; D ix is the real-time leakage coefficient of each slurry circulating pump, dimensionless; A i is the constant term of the regression equation of each slurry circulating pump, dimensionless; B i is the independent variable coefficient of the regression equation of each slurry circulating pump, dimensionless; I ix is the real-time operating current value of each slurry circulating pump, unit: A.

[0129] Preferably, the parameter calculation unit 730 calculates the leakage probability parameter by the following equation:

[0130]

[0131] In the above equation, i is the number of each slurry circulating pump; D ix is the real-time leakage coefficient of each slurry circulating pump, dimensionless; A i is the constant term of the regression equation of each slurry circulating pump, dimensionless; B i is the independent variable coefficient of the regression equation of each slurry circulating pump, dimensionless; P ix is the real-time outlet pressure value of each slurry circulating pump, unit: kPa; I ix is the real-time operating current value of each slurry circulating pump, unit: A; L ix is the real-time leakage probability parameter of each slurry circulating pump corresponding to the spray main pipe and the spray layer, between 0%-100%.

[0132] Preferably, the leakage evaluation unit 540 evaluates the leakage probability of the wet desulfurization spray according to the following rules:

[0133] When 0≤L ix ≤50%, it is evaluated that there is no leakage risk of the spray main pipe and the spray layer corresponding to the slurry circulating pump, and the smaller the L ix value, the smaller the leakage risk;

[0134] When 50%<L ix <preset control value, it is evaluated that there is a leakage risk of the spray main pipe and the spray layer corresponding to the slurry circulating pump, and the larger the L ix value, the larger the leakage probability;

[0135] When the preset control value≤L ix ≤100%, it is evaluated that there is a significant leakage phenomenon of the spray main pipe and the spray layer corresponding to the slurry circulating pump.

[0136] It should be noted that the above is only a numerical example of the evaluation rule, and those skilled in the art can set it according to the actual situation, such as setting it from a wide or strict setting to evaluate the current wet desulfurization spray liquid leakage probability.

[0137] The device for evaluating the wet desulfurization spray liquid leakage probability provided in the application can construct the liquid leakage probability parameter of each spray layer as a real-time quantitative evaluation index based on the operating current and outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, and evaluate the liquid leakage probability of the wet desulfurization spray based on these real-time quantitative evaluation indexes and by setting qualitative evaluation rules, thereby guiding the safe and economic operation of the wet desulfurization process.

[0138] The above method and device will be further described below through a specific example:

[0139] A 1000MW unit is selected as the target unit, and the desulfurization system of the unit adopts a double-tower double-circulation system, wherein the primary tower contains three slurry circulating pumps A, B and C, and the secondary tower contains three slurry circulating pumps D, E and F. A total of 2000 historical operation data of the unit in 2021 are collected, and the data selection principle in the above method is used for zero processing and data rejection.

[0140] After screening, there are 1448 stable operation data left as shown in Table 1, and the following linear equations of each slurry circulating pump are obtained by fitting the stable operation data according to the corresponding slurry circulating pump:

[0141] A slurry circulating pump: P A =-0.0297+3.7589*I A ;

[0142] B slurry circulating pump: P B =1.3436+3.5703*I B ;

[0143] C slurry circulating pump: P C =-0.0364+3.587*I C ;

[0144] D slurry circulating pump: P D =-0.2443+5.5243*I D ;

[0145] E slurry circulating pump: P E =-4.3956+5.9996*I E ;

[0146] F slurry circulating pump: P F =-0.0551+5.5156*I F .

[0147] Then, based on the above calculation formula, the congestion probability parameter T corresponding to the 1448 stable operation data points shown in Table 2 is calculated. ix and leakage probability parameter L ix Table 2 shows the congestion probability parameter T corresponding to the normal operation data. ix and leakage probability parameter L ix The values ​​mostly fluctuate around 50%.

[0148] In addition, Table 1 also lists data for a clogging condition and a leakage condition. Combined with Table 2, it can be seen that when the system is clogged, the clogging probability parameter T of the AF slurry circulation pump is... ix All are above 89%, and when leakage occurs in the system, the leakage probability parameter L of the AF slurry circulation pump... ix All were above 72%. Therefore, as can be seen from the above examples, the method and apparatus for evaluating the probability of leakage in wet desulfurization spraying according to this application can effectively determine the probability of blockage or leakage in the desulfurization system in real time, thereby enabling timely maintenance measures to guide the safe and economical operation of the wet desulfurization process.

[0149] Table 1

[0150]

[0151] Table 2

[0152]

[0153] Figure 8 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Figure 8 The illustrated electronic device is a general-purpose data processing apparatus, comprising a general-purpose computer hardware structure, including at least a processor 801 and a memory 802. The processor 801 and memory 802 are connected via a bus 803. The memory 802 is adapted to store one or more instructions or programs executable by the processor 801. These instructions or programs are executed by the processor 801 to implement the steps in the aforementioned method for evaluating the probability of blockage and leakage in wet desulfurization spray systems.

[0154] The processor 801 can be a stand-alone microprocessor or a set of one or more microprocessors. The processor 801 performs the processing of data and the control of other devices by executing commands stored in the memory 802 to implement the method flow of the embodiments of the present application as described above. The bus 803 connects the above components together and connects the above components to a display controller 804 and a display device and an input / output (I / O) device 805. The input / output (I / O) device 805 can be a mouse, a keyboard, a modem, a network interface, a touch input device, a body sense input device, a printer, and other devices known in the art. Typically, the input / output (I / O) device 805 is connected to the system through an input / output (I / O) controller 806.

[0155] The memory 802 can store software components, such as an operating system, communication modules, interaction modules, and application programs. Each of the above modules and application programs corresponds to a set of executable program instructions for completing one or more functions and the methods described in the embodiments of the present application.

[0156] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the steps of the above method for evaluating the plugging probability and the liquid leakage probability of a wet desulfurization spray.

[0157] The embodiments of the present application also provide a computer program product, which includes computer programs / instructions. The computer programs / instructions are executed by a processor to implement the steps of the above method for evaluating the plugging probability and the liquid leakage probability of a wet desulfurization spray.

[0158] In summary, the method and device for evaluating the plugging probability and the liquid leakage probability of a wet desulfurization spray provided by the embodiments of the present application can construct the plugging probability parameter of each spray layer as a real-time quantitative evaluation index based on the operating current and the outlet pressure value of the slurry circulating pump corresponding to each spray layer of the desulfurization slurry, and evaluate the plugging probability of the wet desulfurization spray based on these real-time quantitative evaluation indexes and by setting qualitative evaluation rules, thereby guiding the safe and economic operation of the wet desulfurization process.

[0159] The preferred embodiments of the present application are described above with reference to the accompanying drawings. Many features and advantages of the embodiments are apparent from the detailed specification, and thus, the claims are intended to cover all such features and advantages of the embodiments falling within the true spirit and scope of the application. Further, since numerous modifications and changes can be made to the embodiments by those having ordinary skill in the art without departing from the scope of the application, it is intended that all such modifications and changes be covered by the claims.

[0160] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0161] The present application is described in reference to the flowchart and / or block diagrams of the method, apparatus (system) and computer program product according to embodiments of the application. It will be understood that each block of the flowchart and / or block diagrams, and combinations of blocks in the flowchart and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing device or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0162] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0163] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0164] The specific embodiments described above are illustrative for purposes of the present application. The particular implementations are not intended to limit the scope of the present application, which is defined by the appended claims. Numerous variations, changes, and substitutions can be made without departing from the application. It is the intention that all such variations, changes and substitutions be included within the scope of the present application, the only limitation being the appended claims.

Claims

1. A method for evaluating the probability of clogging in wet desulfurization spray systems, characterized in that, The method includes: The historical operating values ​​of the operating current and outlet pressure of each slurry circulation pump in the wet desulfurization system are screened to obtain a stable operating condition database for each slurry circulation pump. The stable operating condition data includes historical data of the operating current and outlet pressure of each slurry circulation pump during normal operation. Linear regression fitting was performed on the operating current and outlet pressure values ​​of each slurry circulation pump during normal operation to obtain the linear regression equation for the outlet pressure of each slurry circulation pump. A blockage coefficient is introduced using the aforementioned linear regression equation for outlet pressure; The blockage probability parameter is calculated based on the linear regression equation of the outlet pressure, the blockage coefficient, the real-time operating current of each slurry circulation pump and the outlet pressure value. The clogging probability of wet desulfurization spraying is evaluated based on the clogging probability parameter. The method of introducing a blockage coefficient using the linear regression equation of the outlet pressure includes: The blockage coefficient C is introduced using the aforementioned linear regression equation of outlet pressure. i The blockage coefficient C i The blockage status of the spray header and spray layer corresponding to each slurry circulation pump can be normalized, with a blockage coefficient C. i The equation is: In the above formula, i represents the number of each slurry circulation pump; C i B represents the blockage coefficient of each slurry circulation pump, dimensionless; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless. The equation for the blockage probability parameter is: In the above formula, C i A represents the blockage coefficient of each slurry circulation pump, dimensionless; i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless; P ix The real-time outlet pressure values ​​of each slurry circulation pump are in kPa; I ix The real-time operating current values ​​of each slurry circulation pump are expressed in amperes (A); T. ix The real-time blockage probability parameter for each slurry circulation pump's corresponding spray header and spray layer is between 0% and 100%.

2. The method for evaluating the probability of clogging in wet desulfurization spray as described in claim 1, characterized in that, The database of stable operating conditions for each slurry circulation pump in the wet desulfurization system, obtained by screening historical operating values ​​of operating current and outlet pressure, includes: The operating current and outlet pressure data of each slurry circulation pump when it is shut down are zeroed according to the first preset threshold. The operating current and outlet pressure data of each slurry circulation pump during the start-up and shutdown process are zeroed according to the second preset threshold. The operating current and outlet pressure data of each slurry circulation pump under abnormal operating conditions are reset to zero.

3. The method for evaluating the probability of clogging in wet desulfurization spray as described in claim 2, characterized in that, The process of zeroing out the operating current and outlet pressure data of each slurry circulation pump under abnormal operating conditions includes: Plot a linear fit between the operating current and outlet pressure of each slurry circulation pump, screen out abnormal operating points that are far from the fitted line, and reset the operating current and outlet pressure data corresponding to the abnormal operating points to zero.

4. The method for evaluating the probability of clogging in wet desulfurization spray as described in claim 1, characterized in that, The linear regression equation for the export pressure is: P i =A i +B i ×I i In the above formula, i represents the number of each slurry circulation pump; P i The outlet pressure values ​​of each slurry circulation pump are in kPa; A i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless, I. i The values ​​are the operating current values ​​of each slurry circulation pump, in amperes (A).

5. The method for evaluating the probability of clogging in wet desulfurization spray as described in claim 1, characterized in that, The evaluation of the clogging probability of wet desulfurization spray based on the clogging probability parameter includes: When 0≤T ix When the concentration is ≤50%, it is determined that there is no risk of blockage in the spray header and spray layer corresponding to the slurry circulation pump. ix The smaller the value, the lower the risk of congestion; When 50% < T ix When the preset control value is less than the specified value, the risk of blockage in the spray header and spray layer corresponding to the slurry circulation pump is evaluated. ix The higher the value, the greater the probability of congestion; When the preset control value ≤ T ix When the percentage is ≤100%, it indicates that the spray header and spray layer corresponding to the slurry circulation pump have become significantly clogged.

6. A method for evaluating the probability of leakage during wet desulfurization spraying, characterized in that, The method includes: The historical operating values ​​of the operating current and outlet pressure of each slurry circulation pump in the wet desulfurization system are screened to obtain a stable operating condition database for each slurry circulation pump. The stable operating condition data includes historical data of the operating current and outlet pressure of each slurry circulation pump during normal operation. Linear regression fitting was performed on the operating current and outlet pressure values ​​of each slurry circulation pump during normal operation to obtain the linear regression equation for the outlet pressure of each slurry circulation pump. The leakage coefficient is introduced using the aforementioned linear regression equation for outlet pressure; The leakage probability parameter is calculated based on the linear regression equation of the outlet pressure, the leakage coefficient, the real-time operating current of each slurry circulation pump and the outlet pressure value. The leakage probability of wet desulfurization spraying is evaluated based on the leakage probability parameter. The method of introducing a leakage coefficient using the linear regression equation of the outlet pressure includes: The leakage coefficient D is introduced using the aforementioned linear regression equation for outlet pressure. ix The leakage coefficient D ix The leakage situation of the spray header and spray layer corresponding to each slurry circulation pump can be normalized, and the leakage coefficient D is calculated. ix The equation is: In the above formula, i represents the number of each slurry circulation pump; D ix A represents the real-time leakage coefficient of each slurry circulation pump, dimensionless; i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless; I ix The real-time operating current value of each slurry circulation pump is expressed in amperes (A). The equation for the leakage probability parameter is: In the above formula, i represents the number of each slurry circulation pump; D ix A represents the real-time leakage coefficient of each slurry circulation pump, dimensionless; i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless; P ix The real-time outlet pressure values ​​of each slurry circulation pump are in kPa; I ix The real-time operating current values ​​of each slurry circulation pump are expressed in amperes (A); L ix The real-time leakage probability parameter for each slurry circulation pump's corresponding spray header and spray layer is between 0% and 100%.

7. The method for evaluating the probability of leakage during wet desulfurization spraying as described in claim 6, characterized in that, The database of stable operating conditions for each slurry circulation pump in the wet desulfurization system, obtained by screening historical operating values ​​of operating current and outlet pressure, includes: The operating current and outlet pressure data of each slurry circulation pump when it is shut down are zeroed according to the first preset threshold. The operating current and outlet pressure data of each slurry circulation pump during the start-up and shutdown process are zeroed according to the second preset threshold. The operating current and outlet pressure data of each slurry circulation pump under abnormal operating conditions are reset to zero.

8. The method for evaluating the probability of leakage during wet desulfurization spraying as described in claim 7, characterized in that, The process of zeroing out the operating current and outlet pressure data of each slurry circulation pump under abnormal operating conditions includes: Plot a linear fit between the operating current and outlet pressure of each slurry circulation pump, screen out abnormal operating points that are far from the fitted line, and reset the operating current and outlet pressure data corresponding to the abnormal operating points to zero.

9. The method for evaluating the probability of leakage during wet desulfurization spraying as described in claim 6, characterized in that, The linear regression equation for the export pressure is: P i =A i +B i ×I i In the above formula, i represents the number of each slurry circulation pump; P i The outlet pressure values ​​of each slurry circulation pump are in kPa; A i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless. I i The values ​​are the operating current values ​​of each slurry circulation pump, in amperes (A).

10. The method for evaluating the probability of leakage during wet desulfurization spraying as described in claim 6, characterized in that, The evaluation of the leakage probability of wet desulfurization spray based on the leakage probability parameter includes: When 0≤L ix When the concentration is ≤50%, it is determined that there is no risk of leakage in the spray header and spray layer corresponding to the slurry circulation pump. ix The smaller the value, the lower the risk of leakage; When 50% < L ix When the preset control value is less than the specified value, an assessment is made regarding the risk of leakage in the spray header and spray layer corresponding to the slurry circulation pump. ix The higher the value, the greater the probability of leakage; When the preset control value ≤ L ix When the percentage is ≤100%, it indicates that significant leakage has occurred in the spray header and spray layer corresponding to the slurry circulation pump.

11. A device for evaluating the probability of clogging in wet desulfurization spray systems, characterized in that, The device includes: The screening unit is used to screen the historical operating values ​​of the operating current and outlet pressure of each slurry circulation pump in the wet desulfurization system to obtain a stable operating condition database for each slurry circulation pump. The stable operating condition data includes historical data of the operating current and outlet pressure of each slurry circulation pump during normal operation. The regression fitting unit is used to perform linear regression fitting on the operating current and outlet pressure values ​​of each slurry circulation pump during normal operation, and obtain the linear regression equation of the outlet pressure of each slurry circulation pump. The parameter calculation unit is used to introduce a blockage coefficient using the outlet pressure linear regression equation, and to calculate the blockage probability parameter based on the outlet pressure linear regression equation, the blockage coefficient, the real-time operating current of each slurry circulation pump and the outlet pressure value. A clogging evaluation unit is used to evaluate the clogging probability of wet desulfurization spraying based on the clogging probability parameter. The method of introducing a blockage coefficient using the linear regression equation of the outlet pressure includes: The blockage coefficient C is introduced using the aforementioned linear regression equation of outlet pressure. i The blockage coefficient C i The blockage status of the spray header and spray layer corresponding to each slurry circulation pump can be normalized, with a blockage coefficient C. i The equation is: In the above formula, i represents the number of each slurry circulation pump; C i B represents the blockage coefficient of each slurry circulation pump, dimensionless; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless. The equation for the blockage probability parameter is: In the above formula, C i A represents the blockage coefficient of each slurry circulation pump, dimensionless; i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless; P ix The real-time outlet pressure values ​​of each slurry circulation pump are in kPa; I ix The real-time operating current values ​​of each slurry circulation pump are expressed in amperes (A); T. ix The real-time blockage probability parameter for each slurry circulation pump's corresponding spray header and spray layer is between 0% and 100%.

12. A device for evaluating the probability of leakage during wet desulfurization spraying, characterized in that, The device includes: The screening unit is used to screen the historical operating values ​​of the operating current and outlet pressure of each slurry circulation pump in the wet desulfurization system to obtain a stable operating condition database for each slurry circulation pump. The stable operating condition data includes historical data of the operating current and outlet pressure of each slurry circulation pump during normal operation. The regression fitting unit is used to perform linear regression fitting on the operating current and outlet pressure values ​​of each slurry circulation pump during normal operation, and obtain the linear regression equation of the outlet pressure of each slurry circulation pump. The parameter calculation unit is used to introduce the leakage coefficient using the outlet pressure linear regression equation, and to calculate the leakage probability parameter based on the outlet pressure linear regression equation, the leakage coefficient, the real-time operating current of each slurry circulation pump and the outlet pressure value. The leakage evaluation unit is used to evaluate the leakage probability of wet desulfurization spraying based on the leakage probability parameter. The method of introducing a leakage coefficient using the linear regression equation of the outlet pressure includes: The leakage coefficient D is introduced using the aforementioned linear regression equation for outlet pressure. ix The leakage coefficient D ix The leakage situation of the spray header and spray layer corresponding to each slurry circulation pump can be normalized, and the leakage coefficient D is calculated. ix The equation is: In the above formula, i represents the number of each slurry circulation pump; D ix A represents the real-time leakage coefficient of each slurry circulation pump, dimensionless; i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless; I ix The real-time operating current value of each slurry circulation pump is expressed in amperes (A). The equation for the leakage probability parameter is: In the above formula, i represents the number of each slurry circulation pump; D ix A represents the real-time leakage coefficient of each slurry circulation pump, dimensionless; i B represents the dimensionless constant term in the regression equations for each slurry circulation pump; i The coefficients of the independent variables in the regression equations for each slurry circulation pump are dimensionless; P ix The real-time outlet pressure values ​​of each slurry circulation pump are in kPa; I ix The real-time operating current values ​​of each slurry circulation pump are expressed in amperes (A); L ix The real-time leakage probability parameter for each slurry circulation pump's corresponding spray header and spray layer is between 0% and 100%.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for evaluating the probability of blockage or leakage of wet desulfurization spray as described in any one of claims 1 to 10.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for evaluating the probability of blockage or leakage of wet desulfurization spray as described in any one of claims 1 to 10.

15. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method for evaluating the probability of blockage or leakage of wet desulfurization spray as described in any one of claims 1 to 10.

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