Foam monitoring and defoaming accurate control method and system for desulfurizing absorption tower

Abstract

The invention discloses a desulfurization absorption tower foam monitoring and defoaming precise control method and system, and the method comprises the steps: collecting the monitoring data of a desulfurization absorption tower, and carrying out the data preprocessing; the liquid level height and density are calculated according to the pressure data, the calculated density is compared with the online measurement density, and the current bubble condition of the absorption tower is obtained; comparing a difference value between the calculated density and the online measured density with a dynamic threshold value for controlling a defoaming agent, controlling the operation of a defoaming agent metering pump, determining control parameters of the metering pump, and obtaining an output defoaming agent dosage; and the change conditions of the density error and the dynamic threshold value are monitored and recorded in real time, real-time data and a deviation curve are displayed, the control strategy of the defoaming agent metering pump is adjusted according to the real-time data and historical data, and the defoaming effect is optimized. According to the invention, under the condition of different foaming concentrations, the optimal defoaming effect is realized, the operation cost is further reduced, and the operation stability and efficiency of the desulfurizing absorption tower are improved.

Description

Technical Field

[0001] The invention relates to the technical field of wet limestone flue gas desulfurization, and in particular to a method and system for accurately controlling foam monitoring and defoaming in a desulfurization absorption tower. Background Art

[0002] At present, the foaming of the flue gas limestone wet desulfurization absorption tower is mainly observed through the overflow pipe. When there is foam in the overflow pipe, the defoaming agent is added or adjusted. Moreover, the addition amount and dosage of the defoaming agent are not clear, and there are problems such as excessive addition or unclear defoaming effect. The present invention mainly designs a desulfurization absorption tower foam monitoring and defoaming precise control method and system, which can timely detect the foaming situation in the desulfurization absorption tower and timely feedback the abnormal reaction situation in the absorption tower. When foaming is found, the defoaming agent can be added accurately and timely to accurately eliminate the foam. This process saves defoaming agent, while controlling the desulfurization operation cost, avoiding blind operation to cause excessive addition of defoaming agent, and ultimately causing the desulfurization absorption tower to fail to react. Summary of the invention

[0003] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method and system for accurately controlling foam monitoring and defoaming in a desulfurization absorption tower, which can solve the problems mentioned in the background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for monitoring and precisely controlling foam in a desulfurization absorption tower, which comprises collecting monitoring data of the desulfurization absorption tower, and performing data preprocessing on the monitoring data of the desulfurization absorption tower, wherein the monitoring data of the desulfurization absorption tower comprises monitoring data and disturbance data, and the monitoring data comprises pressure data;

[0008] Calculate the liquid level height and density according to the pressure data, compare the calculated density with the online measured density, and obtain the current bubble situation of the absorption tower;

[0009] The difference between the calculated density and the online measured density is compared with a dynamic threshold value for controlling the defoaming agent, the operation of the defoaming agent metering pump is controlled according to the comparison result, the metering pump control parameters are determined, and the output defoaming amount is obtained according to the metering pump control parameters;

[0010] Monitor and record changes in density error and dynamic threshold in real time, and display real-time data and deviation curves through the host computer. According to real-time data and historical data, adjust the control strategy of the defoamer metering pump to optimize the defoaming effect.

[0011] As a preferred solution of the method for monitoring and precisely controlling foam in a desulfurization absorption tower according to the present invention, the monitoring data of the desulfurization absorption tower includes monitoring data and disturbance data;

[0012] The monitoring data includes pressure data, temperature data, pH value data, slurry circulation pump flow, online measurement density and operation log data;

[0013] The disturbance data include defoamer addition amount data, slurry disturbance data and filtrate water supplement amount data.

[0014] As a preferred solution of the desulfurization absorption tower foam monitoring and defoaming precise control method of the present invention, wherein: the data preprocessing includes data cleaning, data denoising and missing value processing;

[0015] The data cleaning includes deduplication and outlier detection;

[0016] The deduplication includes identifying and deleting duplicate records to ensure that each record is unique in the data set;

[0017] The outlier detection includes using a Z-Score method to identify outliers and process them;

[0018] The data denoising includes real-time denoising using Kalman filtering and data smoothing in combination with a moving average method;

[0019] The missing value processing uses the mean of the data to fill in the missing values.

[0020] As a preferred solution of the method for monitoring and precisely controlling foam in a desulfurization absorption tower according to the present invention, the calculation of the liquid level height and density includes:

[0021] Calculate the bottom liquid level height, middle liquid level height and absorption tower density;

[0022] The bottom liquid level calculation formula is as follows:

[0023]

[0024] Among them, P b is the measured differential pressure of the bottom liquid level gauge, is the density of the absorption tower, g is the acceleration of gravity, Hb is the bottom liquid level, H inst Installation height of the level gauge;

[0025] The calculation formula of the middle liquid level height is as follows:

[0026]

[0027] Among them, P m is the measured differential pressure of the middle liquid level gauge, and Hm is the middle liquid level height;

[0028] The height difference ΔH is calculated as follows:

[0029]

[0030] ΔP=P b -P m

[0031] Where ΔH is the known fixed height difference between the middle and bottom, and ΔP is the pressure difference between the bottom and the middle;

[0032] The density of the absorption tower is calculated based on the height difference ΔH. The calculation formula is:

[0033]

[0034] By comparing the difference between the calculated density and the online measured density, the current bubble situation is obtained. The difference calculation formula is as follows:

[0035] ρ diff =ρ-ρ online

[0036] Among them, ρ diff is the difference between the calculated density and the online measured density, ρ online For online density measurement.

[0037] As a preferred solution of the desulfurization absorption tower foam monitoring and defoaming precise control method of the present invention, the dynamic threshold calculation formula for controlling the defoaming agent is as follows:

[0038] θ d =k·(1+α·sin(ωt))

[0039] Among them, θ d is the dynamic threshold, k is the basic defoamer control threshold, α is the adjustment coefficient, ω is the angular frequency, and t is the time.

[0040] As a preferred solution of the method for accurately controlling foam monitoring and defoaming in a desulfurization absorption tower according to the present invention, the method for determining the control parameters of the metering pump includes:

[0041] The difference between the calculated density and the online measured density is compared with the dynamic threshold value for controlling the defoamer.

[0042] If diff≥θ d , it means that the foaming is serious, start the defoamer metering pump;

[0043] If diff <θ d , it means that the foaming is not serious or has subsided, and the defoamer metering pump should be stopped;

[0044]

[0045] Among them, μ p is the control parameter of the metering pump, η is the control coefficient;

[0046] When μ p When it is a non-zero value, the output defoaming dosage is determined according to the control parameters of the metering pump. The calculation formula is as follows:

[0047] Q a =β·μ p

[0048] Among them, Q a is the output defoaming dosage, and β is the injection volume coefficient.

[0049] As a preferred solution of the method for monitoring and precisely controlling foam in a desulfurization absorption tower according to the present invention, the control strategy for adjusting the defoaming agent metering pump includes:

[0050] According to the real-time data and the deviation curve, the foaming concentration is divided into three cases, namely, low foaming concentration case, medium foaming concentration case and high foaming concentration case;

[0051] The low foaming concentration conditions include:

[0052] In the case of low foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated. Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d ;when Below θ d When the system gradually reduces or stops the injection of defoamer, optimizes the metering pump parameters; the system continues to monitor and record density data. When it remains at a low level and the trend is stable, the efficiency of system resource utilization is improved; if There is an upward trend but it is still below θ d , the system appropriately increases the amount of defoamer injection; if slurry disturbance is detected, such as the slurry circulation pump start-up signal, the system will temporarily not start the defoamer dosing device, and re-evaluate the foam situation after the disturbance subsides;

[0053] The medium foaming concentration conditions include:

[0054] In the case of medium foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d ;when Equal to θ d If the trend is downward, the system reduces the amount of defoamer injected and fine-tunes the metering pump parameters to adjust the defoamer injection amount to the minimum effective dose; if Equal to θ d When the trend is rising, the system quickly increases the injection amount of the defoamer, adjusts the parameters of the metering pump, and improves the distribution uniformity and effect of the defoamer in the tower through pulse injection or continuous injection. When judging the foaming concentration, the liquid level fluctuation caused by the slurry disturbance and the filtrate water supplement is considered. If these disturbances can subside by themselves, the system temporarily delays the injection of the defoamer.

[0055] The high foaming concentration conditions include:

[0056] In the case of high foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated. Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d ;when Higher than θ d When the system increases the injection amount of defoamer and adjusts the metering pump parameters; pulse injection or continuous injection is adopted, and the density error curve is monitored in real time by the host computer to dynamically adjust the defoamer injection strategy; if There is a downward trend but it is still above θ d , the system reduces the injection amount of defoaming agent; in the case of high foaming concentration, if there is liquid level fluctuation caused by slurry disturbance and filtrate water replenishment, the system delays the injection of defoaming agent, records and analyzes long-term data through the host computer, and optimizes the dynamic threshold calculation formula.

[0057] In a second aspect, the present invention provides a desulfurization absorption tower foam monitoring and defoaming precision control system, which includes: a data acquisition preprocessing module, a processing and calculation module, a control adjustment module, and a strategy adjustment module;

[0058] The data acquisition preprocessing module is used to collect the monitoring data of the desulfurization absorption tower and perform data preprocessing on the monitoring data of the desulfurization absorption tower, wherein the monitoring data of the desulfurization absorption tower includes monitoring data and disturbance data, and the monitoring data includes pressure data;

[0059] The processing and calculation module is used to calculate the liquid level height and density according to the pressure data, and compare the calculated density with the online measured density to obtain the current bubble situation of the absorption tower;

[0060] The control adjustment module is used to compare the difference between the calculated density and the online measured density with the dynamic threshold value of controlling the defoaming agent, control the operation of the defoaming agent metering pump according to the comparison result, determine the metering pump control parameters, and obtain the output defoaming amount according to the metering pump control parameters;

[0061] The strategy adjustment module is used to monitor and record the changes in density error and dynamic threshold in real time, and display real-time data and deviation curves through the host computer. According to real-time data and historical data, the control strategy of the defoamer metering pump is adjusted to optimize the defoaming effect.

[0062] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, the steps of the method for precisely controlling foam monitoring and defoaming in a desulfurization absorption tower are implemented.

[0063] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, the steps of a method for precisely controlling foam monitoring and defoaming in a desulfurization absorption tower are implemented.

[0064] Compared with the prior art, the beneficial effect of the present invention is that through the method of the present invention, the foaming situation in the desulfurization absorption tower can be discovered in time, and the abnormal reaction situation in the absorption tower can be fed back in time. Specifically, by collecting the monitoring data of the desulfurization absorption tower and performing data preprocessing, the accuracy and reliability of the data are ensured, and the interference of noise and abnormal values ​​on the system control is avoided; by calculating the pressure data to obtain the liquid level height and density, and comparing the calculated density with the online measured density, the bubble situation in the absorption tower can be understood in real time, and the defoaming measures can be adjusted in time to avoid equipment damage or reduced operating efficiency caused by bubble accumulation; when foaming is found, the present invention can compare the difference between the calculated density and the online measured density with the dynamic threshold value for controlling the defoaming agent, and control the operation of the defoaming agent metering pump according to the comparison result, so as to achieve precise control of the amount of defoaming agent used; through the dynamic threshold calculation formula, the amount of defoaming agent added is accurately controlled, and excessive addition of defoaming agent caused by blind operation is avoided, ensuring that the defoaming agent is added at different foaming concentrations. Under certain conditions, the defoaming agent is used reasonably, thereby saving the amount of defoaming agent used and reducing the operating cost; in addition, by real-time monitoring and recording the changes in density error and dynamic threshold, and displaying the real-time data and deviation curve through the host computer, the control strategy of the defoaming agent metering pump is adjusted according to the real-time data and historical data to optimize the defoaming effect; according to the three foaming concentrations of low, medium and high, the injection strategy of the defoaming agent is adjusted respectively to ensure that the optimal defoaming effect is achieved under different foaming concentrations, further reducing the operating cost, and improving the operating stability and efficiency of the desulfurization absorption tower; in summary, by implementing the technical scheme of the present invention, the foaming situation in the desulfurization absorption tower can be discovered and handled in time, ensuring the stability and efficiency of the system operation, effectively reducing the operating cost, and improving the reliability of the desulfurization process. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0066] Figure 1 A method flow chart of a method and system for monitoring and precisely controlling foam in a desulfurization absorption tower according to an embodiment of the present invention;

[0067] Figure 2 An internal structural diagram of a computer device for a desulfurization absorption tower foam monitoring and defoaming precision control method and system provided in accordance with one embodiment of the present invention. DETAILED DESCRIPTION

[0068] In order to make the above-mentioned purposes, features and advantages of the present invention more understandable, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0069] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0070] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0071] Example 1

[0072] Reference Figure 1-Figure 2 , which is the first embodiment of the present invention, provides a method for accurately controlling foam monitoring and defoaming in a desulfurization absorption tower, comprising:

[0073] The present application provides a method that can effectively solve the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the desulfurization absorption tower foam monitoring and defoaming precise control method;

[0074] Figure 1 A method flow chart of a method and system for monitoring and accurately controlling foam in a desulfurization absorption tower is shown, including:

[0075] S1: Collect monitoring data of the desulfurization absorption tower and perform data preprocessing on the monitoring data of the desulfurization absorption tower. The monitoring data of the desulfurization absorption tower includes monitoring data and disturbance data. The monitoring data includes pressure data;

[0076] Furthermore, the monitoring data of the desulfurization absorber includes monitoring data and disturbance data;

[0077] Monitoring data include pressure data, temperature data, pH value data, slurry circulation pump flow, online density measurement and operation log data;

[0078] The disturbance data include defoamer addition amount data, slurry disturbance data and filtrate water supplement amount data.

[0079] Furthermore, data preprocessing is performed on the monitoring data of the desulfurization absorption tower, including data cleaning, data denoising and missing value processing;

[0080] Data cleaning includes deduplication and outlier detection;

[0081] Deduplication involves identifying and removing duplicate records, ensuring that each record is unique in the data set;

[0082] Outlier detection includes identifying outliers using the Z-Score method and processing them;

[0083] Data denoising includes real-time denoising using Kalman filtering and data smoothing combined with moving average method to reduce the impact of random noise;

[0084] Missing value handling uses the mean or median of the data to fill in the missing values.

[0085] S2: Calculate the liquid level and density based on the pressure data, compare the calculated density with the online measured density, and obtain the current bubble situation of the absorption tower;

[0086] Further, the calculation of liquid level and density includes,

[0087] Calculate the bottom liquid level height, middle liquid level height and absorption tower density;

[0088] The bottom liquid level calculation formula is as follows:

[0089]

[0090] Among them, P b is the measured differential pressure of the bottom liquid level gauge, is the density of the absorption tower, g is the acceleration of gravity, Hb is the bottom liquid level, H inst Installation height of the level gauge;

[0091] The calculation formula of the middle liquid level height is as follows:

[0092]

[0093] Among them, P m is the measured differential pressure of the middle liquid level gauge, and Hm is the middle liquid level height;

[0094] The height difference ΔH is calculated as follows:

[0095]

[0096] ΔP=P b -P m

[0097] Where ΔH is the known fixed height difference between the middle and bottom, and ΔP is the pressure difference between the bottom and the middle;

[0098] The density of the absorption tower is calculated based on the height difference ΔH. The calculation formula is:

[0099]

[0100] By comparing the difference between the calculated density and the online measured density, the current bubble situation is obtained. The difference calculation formula is as follows:

[0101] ρ diff =ρ-ρ online

[0102] Among them, ρ diff is the difference between the calculated density and the online measured density, ρ online For online density measurement.

[0103] S3: comparing the difference between the calculated density and the online measured density with a dynamic threshold for controlling the defoaming agent, controlling the operation of the defoaming agent metering pump according to the comparison result, determining the metering pump control parameters, and obtaining the output defoaming amount according to the metering pump control parameters;

[0104] Furthermore, the dynamic threshold calculation formula for controlling the defoaming agent is as follows:

[0105] θ d =k·(1+α·sin(ωt))

[0106] Among them, θ d is the dynamic threshold, k is the basic defoamer control threshold, α is the adjustment coefficient, and ω is the angular frequency;

[0107] It should be noted that the angular frequency is the best frequency that enables the system to respond quickly within the expected time range through experimental testing and spectrum analysis;

[0108] The dynamic threshold changes with time and is used to adjust the control standard of density error in real time;

[0109] The adjustment coefficient is taken as 0.7 in the initial value of the present invention;

[0110] Furthermore, the metering pump control parameters are determined to include,

[0111] The difference between the calculated density and the online measured density is compared with the dynamic threshold value for controlling the defoamer.

[0112] If diff ≥θ d , it means that the foaming is serious, start the defoamer metering pump;

[0113] If diff<θ d , it means that the foaming is not serious or has subsided, and the defoamer metering pump should be stopped;

[0114]

[0115] Among them, μ p is the control parameter of the metering pump, η is the control coefficient;

[0116] When μ p When it is a non-zero value, the output defoaming dosage is determined according to the control parameters of the metering pump. The calculation formula is as follows:

[0117] Q a =β·μ p

[0118] Among them, Q a is the output defoaming dosage, and β is the injection volume coefficient.

[0119] S4: Monitor and record the changes of density error and dynamic threshold in real time, and display the real-time data and deviation curve through the host computer. According to the real-time data and historical data, adjust the control strategy of the defoaming agent metering pump to optimize the defoaming effect.

[0120] Furthermore, the control strategy for adjusting the defoamer metering pump includes:

[0121] According to the real-time data and the deviation curve, the foaming concentration is divided into three cases, namely, low foaming concentration case, medium foaming concentration case and high foaming concentration case;

[0122] Low foaming concentration situations include,

[0123] In the case of low foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated. Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d To maintain the sensitivity of the system. Significantly lower than θ d When the system gradually reduces or stops the injection of defoamer, optimizes the metering pump parameters, ensures that the system maintains a stable state at a low foaming concentration and avoids defoamer waste; the system will continue to monitor and record density data. When it remains at a low level and the trend is stable, it ensures efficient use of system resources; if There is an upward trend, but it is still below θ d, the system will appropriately increase the defoamer injection amount to prevent the further increase of the foaming concentration; if a slurry disturbance is detected, such as the slurry circulation pump start-up signal, the system will temporarily not start the defoamer dosing device, and re-evaluate the foam situation after the disturbance subsides; through the host computer recording and analysis of long-term data, the dynamic threshold calculation formula is optimized, so that the system can accurately control the injection of defoamer under low foaming concentration conditions, thereby achieving resource conservation and efficient and stable defoaming effect.

[0124] Moderate foaming concentrations include:

[0125] In the case of medium foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d To ensure the sensitivity of the system; Approximately θ d If the trend is downward, the system will gradually reduce the amount of defoamer injected, fine-tune the metering pump parameters to ensure that the foaming concentration is stable and subsides, and adjust the defoamer injection amount to the minimum effective dose to ensure the defoaming effect and save resources; if Approximately θ d When the trend is rising, the system quickly increases the injection amount of defoamer, adjusts the metering pump parameters to suppress the foaming phenomenon, and improves the distribution uniformity and effect of the defoamer in the tower through pulse injection or continuous injection. When judging the foaming concentration, the system will consider the liquid level fluctuation caused by slurry disturbance and filtrate water replenishment. If these disturbances can subside on their own, the system will temporarily delay the injection of defoamer and evaluate and adjust after the disturbance subsides. By recording and analyzing long-term data on the host computer and optimizing the dynamic threshold calculation formula, the system can efficiently and accurately control the injection of defoamer under medium foaming concentration conditions to ensure a stable defoaming effect.

[0126] High foaming concentration situations include,

[0127] In the case of high foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated. Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d To enhance the system's responsiveness; when Significantly higher than θ dWhen the system rapidly increases the injection amount of the defoamer and adjusts the metering pump parameters to effectively suppress the foaming phenomenon; at this time, the system will use pulse injection or continuous injection to ensure the uniformity of the distribution and effect of the defoamer in the tower, and monitor the density error curve in real time through the host computer to dynamically adjust the defoamer injection strategy to deal with the high foaming concentration; if There is a downward trend but it is still above θ d , the system will appropriately adjust the amount of defoamer injected to ensure the continuous stability of the defoaming effect; under high foaming concentration conditions, the system will pay special attention to the level fluctuations caused by slurry disturbances and filtrate water replenishment. If these disturbances can subside on their own, the system will delay the injection of defoamers to avoid unnecessary waste of defoamers. By recording and analyzing long-term data on the host computer and optimizing the dynamic threshold calculation formula, the system can respond quickly and accurately control the injection of defoamers under high foaming concentration conditions, achieving efficient and stable defoaming effects.

[0128] Furthermore, this embodiment also provides a desulfurization absorption tower foam monitoring and defoaming precision control system, including: a data acquisition preprocessing module, a processing and calculation module, a control adjustment module, and a strategy adjustment module;

[0129] The data acquisition preprocessing module is used to collect the monitoring data of the desulfurization absorption tower and perform data preprocessing on the monitoring data of the desulfurization absorption tower, wherein the monitoring data of the desulfurization absorption tower includes monitoring data and disturbance data, and the monitoring data includes pressure data;

[0130] The processing and calculation module is used to calculate the liquid level height and density according to the pressure data, and compare the calculated density with the online measured density to obtain the current bubble situation of the absorption tower;

[0131] The control adjustment module is used to compare the difference between the calculated density and the online measured density with the dynamic threshold value of controlling the defoaming agent, control the operation of the defoaming agent metering pump according to the comparison result, determine the metering pump control parameters, and obtain the output defoaming amount according to the metering pump control parameters;

[0132] The strategy adjustment module is used to monitor and record the changes in density error and dynamic threshold in real time, and display the real-time data and deviation curve through the host computer. According to the real-time data and historical data, the control strategy of the defoamer metering pump is adjusted to optimize the defoaming effect.

[0133] This embodiment also provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 2As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a comprehensive evaluation method suitable for orderly access of large-scale distributed power sources is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse.

[0134] This embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: collecting monitoring data of the desulfurization absorption tower, and performing data preprocessing on the monitoring data of the desulfurization absorption tower, wherein the monitoring data of the desulfurization absorption tower includes monitoring data and disturbance data, and the monitoring data includes pressure data;

[0135] Calculate the liquid level and density based on the pressure data, compare the calculated density with the online measured density, and obtain the current bubble situation in the absorption tower;

[0136] The difference between the calculated density and the online measured density is compared with the dynamic threshold value for controlling the defoaming agent, the operation of the defoaming agent metering pump is controlled according to the comparison result, the metering pump control parameters are determined, and the output defoaming amount is obtained according to the metering pump control parameters;

[0137] Monitor and record changes in density error and dynamic threshold in real time, and display real-time data and deviation curves through the host computer. According to real-time data and historical data, adjust the control strategy of the defoamer metering pump to optimize the defoaming effect.

[0138] Example 2

[0139] Reference Figure 1 - Figure 2 , which is the second embodiment of the present invention, and this embodiment provides a method for accurately controlling foam monitoring and defoaming in a desulfurization absorption tower. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0140] The experiment selected a desulfurization absorption tower of a power plant as the test object. The device specifications are a tower height of 40 meters, a tower inner diameter of 20 meters, and a slurry circulation volume of 20,000 to 50,000 cubic meters per hour.

[0141] The experimental device includes a pressure sensor, an online density meter, a pH meter, a flow meter, and a defoamer metering pump. The monitoring data is recorded and displayed in real time by the host computer, and the test period is 30 days.

[0142] Data is collected from the start of device operation, including pressure data, temperature data, pH data, flow data, online density measurement and operation log data. Data preprocessing steps include data cleaning, denoising and missing value processing.

[0143] Kalman filtering is used for real-time denoising, and moving average method is used for data smoothing. Duplicate data and outliers are identified and processed using the Z-Score method, and missing values ​​are filled with the data mean.

[0144] The bottom and middle liquid level heights are calculated by the measured differential pressure of the bottom and middle liquid level gauges, and the liquid level height difference ΔH is calculated. The density of the absorption tower is calculated using ΔH, and the calculated density is compared with the online measured density to obtain the current bubble situation. The dynamic threshold for controlling the defoaming agent is calculated according to the formula, and the difference between the calculated density and the online measured density is compared with the dynamic threshold to determine the control parameters of the metering pump.

[0145] If the difference is greater than the threshold, start the defoamer metering pump; if the difference is less than or equal to the threshold, stop the metering pump. Monitor the density error and dynamic threshold changes in real time, and display the real-time data and deviation curve through the host computer. Adjust the control strategy of the defoamer metering pump based on real-time data and historical data.

[0146] Specifically, different control strategies are adopted under low foaming concentration, medium foaming concentration and high foaming concentration, and the metering pump parameters are optimized respectively to ensure the defoaming effect. The specific data are shown in Table 1.

[0147] Table 1 Experimental data table

[0148]

[0149] Through the above test data, it can be clearly seen that the effectiveness and advantages of the desulfurization absorption tower foam monitoring and defoaming precision control method in practical applications. The specific analysis is as follows:

[0150] Stability of pressure and temperature data: The pressure data of the test objects were maintained between 101300Pa and 101600Pa, and the temperature data were between 54℃ and 57℃, indicating the stability of the system operation. This stability is the basis for the system to accurately monitor the foam situation and defoaming effect.

[0151] Adaptability of pH value and slurry flow rate: pH value between 5.7 and 5.9, slurry flow rate between 20000 (m 3 / h) to 45000(m 3 / h), indicating that the system can maintain a good operating state under different slurry conditions.

[0152] Accuracy of density calculation: Difference between calculated density and online measured density For subjects 1 to 6, the values ​​were 5, -2, 3, -3, -3, and -2 kg / m 3 , indicating that the method can accurately calculate the density and reflect the foam situation in the absorption tower in real time.

[0153] The amount of defoamer added increases with the increase of the slurry circulation pump flow rate, which reflects the characteristic that the greater the flow rate, the more defoamer is added. For example, in the experimental object 1, the flow rate is 20000m 3 / h, the amount of defoamer added was 10L / h; in experimental object 6, the flow rate increased to 45000m 3 / h, the amount of defoamer added is increased to 21L / h. This shows that the present invention can automatically adjust the amount of defoamer added according to the change of flow rate to ensure the effectiveness of foam control.

[0154] In summary, the desulfurization absorption tower foam monitoring and defoaming precise control method realizes precise control of the amount of defoaming agent added through real-time monitoring and data processing, effectively reduces the generation of foam, and improves the operation efficiency of the desulfurization absorption tower. Compared with the prior art, this method has obvious advantages in data processing, real-time monitoring and control strategy optimization, ensuring the efficient operation of the system and the rational use of resources.

[0155] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0156] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0157] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0158] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0159] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0160] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0161] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for monitoring and accurately controlling foam in a desulfurization absorption tower, characterized in that: The method comprises collecting monitoring data of a desulfurization absorption tower and performing data preprocessing on the monitoring data of the desulfurization absorption tower, wherein the monitoring data of the desulfurization absorption tower comprises monitoring data and disturbance data, and the monitoring data comprises pressure data; Calculate the liquid level height and density according to the pressure data, compare the calculated density with the online measured density, and obtain the current bubble situation of the absorption tower; The difference between the calculated density and the online measured density is compared with a dynamic threshold value for controlling the defoaming agent, the operation of the defoaming agent metering pump is controlled according to the comparison result, the metering pump control parameters are determined, and the output defoaming amount is obtained according to the metering pump control parameters; Monitor and record changes in density error and dynamic threshold in real time, and display real-time data and deviation curves through the host computer. According to real-time data and historical data, adjust the control strategy of the defoamer metering pump to optimize the defoaming effect.

2. The method for monitoring and controlling foam in a desulfurization absorption tower according to claim 1, characterized in that: The desulfurization absorption tower monitoring data includes monitoring data and disturbance data; The monitoring data includes pressure data, temperature data, pH value data, slurry circulation pump flow, online measurement density and operation log data; The disturbance data include defoamer addition amount data, slurry disturbance data and filtrate water supplement amount data.

3. The method for monitoring and controlling foam in a desulfurization absorption tower according to claim 2, characterized in that: The data preprocessing includes data cleaning, data denoising and missing value processing; The data cleaning includes deduplication and outlier detection; The deduplication includes identifying and deleting duplicate records to ensure that each record is unique in the data set; The outlier detection includes using a Z-Score method to identify outliers and process them; The data denoising includes real-time denoising using Kalman filtering and data smoothing in combination with a moving average method; The missing value processing uses the mean of the data to fill in the missing values.

4. The method for monitoring and controlling foam in a desulfurization absorption tower according to claim 3, characterized in that: The calculation of liquid level height and density includes, Calculate the bottom liquid level height, middle liquid level height and absorption tower density; The bottom liquid level calculation formula is as follows: Among them, P b is the measured differential pressure of the bottom liquid level gauge, is the density of the absorption tower, g is the acceleration of gravity, Hb is the bottom liquid level, H inst Installation height of the level gauge; The calculation formula of the middle liquid level height is as follows: Among them, P m is the measured differential pressure of the middle liquid level gauge, and Hm is the middle liquid level height; The height difference ΔH is calculated as follows: AP=P b -P m Where ΔH is the known fixed height difference between the middle and bottom, and AP is the pressure difference between the bottom and the middle; The density of the absorption tower is calculated based on the height difference ΔH. The calculation formula is: By comparing the difference between the calculated density and the online measured density, the current bubble situation is obtained. The difference calculation formula is as follows: r diff =r-r online Among them, ρ diff is the difference between the calculated density and the online measured density, ρ online For online density measurement.

5. The method for monitoring and controlling foam in a desulfurization absorption tower according to claim 4, characterized in that: The dynamic threshold calculation formula for controlling the defoaming agent is as follows: i d =k·(1+α·sin(ωt)) Among them, θ d is the dynamic threshold, k is the basic defoamer control threshold, α is the adjustment coefficient, ω is the angular frequency, and t is the time.

6. The method for monitoring and controlling foam in a desulfurization absorption tower according to claim 5, characterized in that: Determining the metering pump control parameters includes: The difference between the calculated density and the online measured density is compared with the dynamic threshold value for controlling the defoamer. If diff ≥θ d , it means that the foaming is serious, start the defoamer metering pump; If diff <θ d , it means that the foaming is not serious or has subsided, and the defoamer metering pump should be stopped; Among them, μ p is the control parameter of the metering pump, η is the control coefficient; When μ p When it is a non-zero value, the output defoaming dosage is determined according to the control parameters of the metering pump. The calculation formula is as follows: Q a =b·m p Among them, Q a is the output defoaming dosage, and β is the injection volume coefficient.

7. The method for monitoring and controlling foam in a desulfurization absorption tower according to claim 6, characterized in that: The control strategy for adjusting the defoamer metering pump includes: According to the real-time data and the deviation curve, the foaming concentration is divided into three cases, namely, low foaming concentration case, medium foaming concentration case and high foaming concentration case; The low foaming concentration conditions include: In the case of low foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated. Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d ;when Below θ d When the system gradually reduces or stops the injection of defoamer, optimizes the metering pump parameters; the system continues to monitor and record density data. When it remains at a low level and the trend is stable, the efficiency of system resource utilization is improved; if There is an upward trend but it is still below θ d , the system appropriately increases the amount of defoamer injection; if slurry disturbance is detected, such as the slurry circulation pump start-up signal, the system will temporarily not start the defoamer dosing device, and re-evaluate the foam situation after the disturbance subsides; The medium foaming concentration conditions include: In the case of medium foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error is calculated Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data. d ;when Equal to θ d If the trend is downward, the system reduces the amount of defoamer injected and fine-tunes the metering pump parameters to adjust the defoamer injection amount to the minimum effective dose; if Equal to θ d When the trend is rising, the system quickly increases the injection amount of the defoamer, adjusts the parameters of the metering pump, and improves the distribution uniformity and effect of the defoamer in the tower through pulse injection or continuous injection. When judging the foaming concentration, the liquid level fluctuation caused by the slurry disturbance and the filtrate water supplement is considered. If these disturbances can subside by themselves, the system temporarily delays the injection of the defoamer. The high foaming concentration conditions include: In the case of high foaming concentration, the density data is obtained by real-time monitoring of the pressure sensor and the online density meter, and the current density error ρ is calculated diff ; Real-time data is transmitted to the host computer to generate and display the real-time density error curve, and the threshold θ is dynamically adjusted according to the current system operation status and historical data d When ρ diff Higher than θ d When ρ is used, the system increases the injection amount of the defoamer and adjusts the metering pump parameters; pulse injection or continuous injection is used, and the density error curve is monitored in real time by the host computer to dynamically adjust the defoamer injection strategy; if ρ diff There is a downward trend but it is still above θ d , the system reduces the injection amount of defoaming agent; in the case of high foaming concentration, if there is liquid level fluctuation caused by slurry disturbance and filtrate water replenishment, the system delays the injection of defoaming agent, records and analyzes long-term data through the host computer, and optimizes the dynamic threshold calculation formula.

8. A desulfurization absorption tower foam monitoring and defoaming precision control system, based on the desulfurization absorption tower foam monitoring and defoaming precision control method according to any one of claims 1 to 7, characterized in that: Including data acquisition preprocessing module, processing and calculation module, control adjustment module, and strategy adjustment module; The data acquisition preprocessing module is used to collect the monitoring data of the desulfurization absorption tower and perform data preprocessing on the monitoring data of the desulfurization absorption tower, wherein the monitoring data of the desulfurization absorption tower includes monitoring data and disturbance data, and the monitoring data includes pressure data; The processing and calculation module is used to calculate the liquid level height and density according to the pressure data, and compare the calculated density with the online measured density to obtain the current bubble situation of the absorption tower; The control adjustment module is used to compare the difference between the calculated density and the online measured density with the dynamic threshold value of controlling the defoaming agent, control the operation of the defoaming agent metering pump according to the comparison result, determine the metering pump control parameters, and obtain the output defoaming amount according to the metering pump control parameters; The strategy adjustment module is used to monitor and record the changes in density error and dynamic threshold in real time, and display real-time data and deviation curves through the host computer. According to real-time data and historical data, the control strategy of the defoamer metering pump is adjusted to optimize the defoaming effect.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the desulfurization absorption tower foam monitoring and defoaming precise control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the desulfurization absorption tower foam monitoring and defoaming precise control method according to any one of claims 1 to 7 are implemented.

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