Absorption Tower Slurry Density Measurement Method and System Based on the Correlation of Operating Parameters

Abstract

This application relates to the technical field of measuring the density of slurry in an absorption tower, and specifically relates to a method and system for measuring the density of slurry in an absorption tower based on the correlation of operating parameters. A method for measuring the density of slurry in an absorption tower based on the correlation of operating parameters, applicable to an absorption tower system, the absorption tower system including an absorption tower; the method includes: obtaining the operating parameters of the absorption tower system and the detected value of the slurry density in the absorption tower at the same time period; training an absorption tower slurry density prediction model by fitting the operating parameters and the detected value of the slurry density; and obtaining the absorption tower slurry density by using the absorption tower slurry density prediction model. The wet flue gas desulfurization slurry density measurement method based on the soft measurement of important parameters of key equipment such as the absorption tower circulation pump in the present invention can effectively solve the problem that it is difficult to accurately measure the density of the on-line gypsum slurry in the absorption tower.

Description

Technical Field

[0001] The present application relates to the technical field of absorption tower slurry density measurement, and specifically relates to a method for measuring the absorption tower slurry density based on the correlation of operating parameters and a system for measuring the absorption tower slurry density based on the correlation of operating parameters. Background Art

[0002] The absorption tower system is the core system of limestone-gypsum wet flue gas desulfurization. The absorption tower slurry density is one of the key parameters of the absorption tower system, which has a significant impact on aspects such as desulfurization efficiency, power consumption of the desulfurization system, and gypsum dehydration system. However, in the actual operation process, the measurement accuracy of the absorption tower slurry density is often insufficient, and even the density of the slurry in some absorption towers has been in an inaccurate measurement state for a long time, requiring operators to often take manual samples for measurement, resulting in extensive operation management of the desulfurization system, poor stability of the desulfurization system, high energy consumption, and high labor intensity of operators. Therefore, how to accurately measure the absorption tower slurry density is a major problem that power plants urgently need to solve.

[0003] For example, the density of the absorption tower gypsum slurry is usually measured directly by a special density meter, or measured by a differential pressure transmitter and then the density is obtained through conversion. The absorption tower gypsum slurry is a solid-liquid two-phase flow, and there are also a large number of bubbles inside. When the pressure of the gypsum slurry decreases, a large number of bubbles will precipitate from the slurry, and sometimes the bubbles will accumulate in the measuring instrument; furthermore, the solid small particles in the gypsum slurry will, on the one hand, erode and wear the measuring instrument, and on the other hand, form a covering and scaling on the surface of the measuring instrument. The combined action of these various factors makes it difficult to accurately measure the density of the absorption tower gypsum slurry.

[0004] Due to the difficulty in accurately measuring the density of the absorption tower gypsum slurry, some operators initially judge the size of the slurry density by observing the change in the current of the circulation pump, and then accurately grasp the specific value of the slurry density through manual sampling measurement. Sometimes inaccurate measurement may also be caused by insufficient sampling. Especially when the density meter is damaged, only manual measurement can be used, increasing the workload of the operators. Summary of the Invention

[0005] The purpose of the embodiments of the present application is to provide a method for measuring the absorption tower slurry density based on the correlation of operating parameters and a system for measuring the absorption tower slurry density based on the correlation of operating parameters.

[0006] To achieve the above object, a first aspect of the present application provides a method for measuring the slurry density of an absorption tower based on the correlation of operating parameters, which is applicable to an absorption tower system. The absorption tower system includes an absorption tower. The method includes: obtaining the operating parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period; training an absorption tower slurry density prediction model by fitting the operating parameters and the slurry density detection value; and obtaining the absorption tower slurry density by using the absorption tower slurry density prediction model.

[0007] Based on the first aspect, in some embodiments of the present application, obtaining the operating parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period includes: obtaining the slurry density detection value within a specific time period by using the interpolation method, and the specific time period is an intermediate time period that meets the slurry density detection conditions.

[0008] Based on the first aspect, in some embodiments of the present application, the calculation formula for obtaining the slurry density detection value within a specific time period by the interpolation method is as follows:

[0009]

[0010] In formula (1), ρ′ represents the slurry density detection value at the target time point, ρ1 represents the nearest slurry density detection value before the target time point, ρ2 represents the nearest slurry density detection value after the target time point, t represents the measurement interval duration between ρ1 and ρ2, and t1 represents the measurement interval duration between ρ1 and ρ′.

[0011] Based on the first aspect, in some embodiments of the present application, the absorption tower system includes a circulating pump for conveying slurry into the absorption tower. The operating parameters of the absorption tower system include: the operating parameters of the absorption tower, including the slurry level in the absorption tower; and the operating parameters of the circulating pump, including the circulating pump motor current, the circulating pump inlet pressure, and the circulating pump outlet pressure.

[0012] Based on the first aspect, in some embodiments of the present application, there are multiple circulating pumps. Training an absorption tower slurry density prediction model by fitting the operating parameters and the slurry density detection value includes: respectively fitting the operating parameters of each circulating pump with the slurry density detection value to respectively train multiple absorption tower slurry density prediction models.

[0013] Based on the first aspect, in some embodiments of the present application, the relationship between the operating parameters of the circulating pump and the slurry density is as follows:

[0014]

[0015] In formula (2), ρ represents the gypsum slurry density, η represents the total efficiency of the circulating pump, U represents the circulating pump motor voltage, and I represents the circulating pump motor current. P represents the power factor of the circulating pump, Q represents the flow rate of the circulating pump, H represents the working head of the circulating pump, and 367 is a constant value.

[0016] Based on the first aspect, in some embodiments of the present application, obtaining the absorber slurry density by using the absorber slurry density prediction model includes: respectively predicting a plurality of slurry density sample values by using each absorber slurry density prediction model; and calculating the absorber slurry density based on each slurry density sample value by using a predetermined calculation rule.

[0017] Based on the first aspect, in some embodiments of the present application, the predetermined calculation rule includes: calculating the average value of each slurry density sample value as the absorber slurry density; or calculating the standard error of each slurry density sample value by using a standard deviation calculation method; removing the slurry density sample values whose standard error exceeds a threshold; and calculating the average value of the remaining slurry density sample values as the absorber slurry density.

[0018] Based on the first aspect, in some embodiments of the present application, before fitting the operating parameters and the slurry density detection values to train the absorber slurry density prediction model, it further includes: dividing the space in the absorber into a plurality of liquid level segments in the height direction; the fitting the operating parameters and the slurry density detection values to train the absorber slurry density prediction model includes: training the absorber slurry density prediction model segment by segment according to the liquid level segment where the slurry is located; when the circulating pump operates at a fixed point on its performance curve and the slurry liquid level changes within the same liquid level segment, the slurry density is approximately linearly related to the circulating pump motor current.

[0019] In a second aspect, the present application provides an absorber slurry density measurement system based on the correlation of operating parameters. The absorber slurry density measurement system is connected to the absorber system, and the absorber system includes an absorber; the absorber slurry density measurement system includes: an acquisition module for acquiring the operating parameters of the absorber system and the slurry density detection values in the absorber at the same time period; a training module for training an absorber slurry density prediction model by fitting the operating parameters and the slurry density detection values; and a detection module for obtaining the absorber slurry density by using the absorber slurry density prediction model.

[0020] The solution provided by the present application has at least the following beneficial effects:

[0021] 1. The wet desulfurization slurry density measurement method of the present invention based on the soft measurement of important parameters of key equipment of the absorber circulating pump can effectively solve the problem that it is difficult to accurately measure the on-line gypsum slurry density in the absorber.

[0022] 2. By establishing a database of the density of gypsum slurry and the key equipment parameters of the absorption tower, collecting data through the DCS system or the SIS system, and then performing modeling calculations, it can avoid the frequent manual sampling and measurement by operators, achieve refined management of the desulfurization system, maintain the stability of the desulfurization system, and achieve the goal of energy conservation and consumption reduction.

[0023] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings are used to provide a further understanding of the embodiments of the present application, and constitute a part of the specification. Together with the following specific implementation, they are used to explain the embodiments of the present application, but do not constitute a limitation to the embodiments of the present application. In the drawings:

[0025] Figure 1 Schematically shows a schematic diagram of the application environment of the method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters in the embodiment;

[0026] Figure 2 Schematically shows a schematic flowchart of the method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters in the embodiment;

[0027] Figure 3 Schematically shows a scatter plot fitting diagram of the density of gypsum slurry and the motor current of the circulation pump (A / B / C / D) when the slurry level in the absorption tower is 11 - 11.5 m in the embodiment;

[0028] Figure 4 Schematically shows a scatter plot fitting diagram of the density of gypsum slurry and the motor current of the circulation pump (A / B / C / D) when the slurry level in the absorption tower is 11.5 - 12 m in the embodiment;

[0029] Figure 5 Schematically shows a scatter plot fitting diagram of the density of gypsum slurry and the motor current of the circulation pump (A / B / C / D) when the slurry level in the absorption tower is 12 - 12.5 m in the embodiment;

[0030] Figure 6 Schematically shows a scatter plot fitting diagram of the density of gypsum slurry and the motor current of the circulation pump (A / B / C / D) when the slurry level in the absorption tower is 12.5 - 13 m in the embodiment;

[0031] Figure 7 Schematically shows a scatter plot fitting diagram of the density of gypsum slurry and the motor current of the circulation pump (A / B / C / D) when the slurry level in the absorption tower is 13 - 13.5 m in the embodiment;

[0032] Figure 8 Schematically shows a principle block diagram of the measurement of the density of the slurry in the absorption tower based on the correlation of operating parameters in an embodiment of the present application;

[0033] Figure 9 Schematically shows the internal structure diagram of the computer device according to an embodiment of the present application.

[0034] Description of the reference numerals in the drawings

[0035] 102 - Terminal; 104 - Server; A01 - Processor; A02 - Network interface; A03 - Internal memory; A04 - Non-volatile storage medium; B01 - Operating system; B02 - Computer program. Detailed implementation manners

[0036] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It should be understood that the specific implementation manners described herein are only for explaining and illustrating the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0037] It should be noted that if there are directional indications (such as up, down, left, right, front, back, etc.) involved in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly.

[0038] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement them. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present application.

[0039] Embodiment 1

[0040] The method for measuring the slurry density of the absorption tower based on the correlation of operating parameters provided by the present application can be applied to, for example Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, and portable wearable devices, and the server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0041] Figure 2 The flowchart of the method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters according to an embodiment of the present application is schematically shown. The method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters provided in this embodiment is applicable to the absorption tower system; the method includes:

[0042] S1. Obtain the operating parameters of the absorption tower system and the detected value of the slurry density in the absorption tower at the same time period;

[0043] Specifically, the absorption tower system includes an absorption tower and a circulating pump for delivering slurry to the absorption tower. The operating parameters of the absorption tower system include the slurry level in the absorption tower, the current of the circulating pump motor, the inlet pressure of the circulating pump, and the outlet pressure of the circulating pump, etc. The above operating parameters can be collected through a DCS system (distributed control system) or an SIS system (safety instrument system). The detected value of the slurry density in the absorption tower can be measured by manually sampling with a densitometer.

[0044] Taking the measurement of the density of gypsum slurry as an example, a specific time period needs to be selected during measurement to ensure the accuracy of data detection. The specific time period in this embodiment refers to the time when the unit load and the concentration of the inlet gas (SO2) in the absorption tower are relatively stable and there is no demister flushing and gypsum discharge. At this time, the change of the gypsum slurry density is approximately linear with time. To reduce the workload, it is normally possible to measure once every 1 hour or 2 hours, and then calculate the corresponding density of the gypsum slurry in the intermediate time period by interpolation in minutes. Specifically, the following calculation formula can be used to calculate the detected value of the slurry density:

[0045]

[0046] In formula (1), ρ′ represents the detected value of the slurry density at the target time point, ρ1 represents the most recent detected value of the slurry density before the target time point, ρ2 represents the most recent detected value of the slurry density after the target time point, t represents the measurement interval duration between ρ1 and ρ2, and t1 represents the measurement interval duration between ρ1 and ρ′.

[0047] In addition, it is worth noting that the (1) operating parameters of the absorption tower system and (2) the detected value of the slurry density in the absorption tower collected should be corresponding in terms of time relationship, that is, the operating parameters and the detected value of the slurry density at the same time point.

[0048] S2. By fitting the operating parameters and the detected values of the slurry density, a prediction model for the slurry density in the absorption tower is trained.

[0049] Under normal circumstances, there are multiple circulating pumps. Exemplarily, in this embodiment, based on the number of circulating pumps, a prediction model for the slurry density in the absorption tower is trained for each circulating pump (used to transport the slurry into the absorption tower) in the system. Specifically, the operating parameters (which may be different) of each circulating pump can be respectively fitted with the detected values of the slurry density to respectively train multiple prediction models for the slurry density in the absorption tower (one-to-one correspondence between the circulating pump and the model). The relationship between the operating parameters of the circulating pump and the slurry density can be expressed by the following formula:

[0050]

[0051] In formula (2), ρ represents the density of the gypsum slurry, η represents the total efficiency of the circulating pump, U represents the voltage of the circulating pump motor, I represents the current of the circulating pump motor, represents the power factor of the circulating pump, Q represents the flow rate of the circulating pump, H represents the working head of the circulating pump, and 367 is a constant value. The constant value 367 is caused by the conversion of different engineering units. The flow rate unit is m 3 / h. Convert hours to seconds (3600 s), and then divide by g (the acceleration of gravity 9.6), 367 = 3600 / 9.8.

[0052] Furthermore, according to the working characteristics of the circulating pump, when the slurry liquid level in the absorption tower is constant, the circulating pump generally operates at a certain fixed point on the performance curve. At this time, the flow rate Q, head H, total efficiency η, and power factor of the pump are all fixed values, and the voltage of the circulating pump motor is generally also a constant value. The density ρ of the gypsum slurry and the current I of the circulating pump motor are theoretically linearly related. However, during actual operation, the liquid level in the absorption tower fluctuates. When the liquid level fluctuates within a small range, the linear relationship between the density ρ of the gypsum slurry and the current I of the circulating pump motor is relatively good. Therefore, the space in the absorption tower can be divided into multiple liquid level segments in the height direction, namely n1, n2, n3..., and then according to the liquid level segment where the slurry is located, the functional relationship between the density ρ of the gypsum slurry and the current I of the circulating pump motor is respectively fitted for a large amount of historical data in each segment, so as to form a series of prediction models for the slurry density in the absorption tower on each corresponding liquid level segment of the absorption tower (piecewise function: ρ = f1(I), ρ = f2(I), ρ = f3(I)...).

[0053] S3. Use the prediction model for the slurry density in the absorption tower to obtain the slurry density in the absorption tower.

[0054] Taking the segmented absorber slurry density prediction model in step S2 as an example, when predicting the slurry density subsequently, the real-time operating circulating pump motor current I can be substituted into the corresponding function according to the absorber liquid level, and the corresponding gypsum slurry density ρ can be calculated.

[0055] Of course, if there are multiple circulating pumps, the predicted slurry density (sample) values of the absorber slurry density prediction models constructed based on different circulating pumps may also be different (the data of different circulating pumps can be calculated and verified with each other, and then compared with the measurement data of the on-line density meter of the absorber to judge the accuracy of the measurement data of the on-line density meter of the absorber). Therefore, the obtained multiple slurry density (sample) values can be further optimized. Exemplarily, when there are 2 operating circulating pumps, the average value of each slurry density (sample) value can be calculated, and the average value is used as the finally obtained absorber slurry density; when there are 3 or more operating circulating pumps, the average value can be taken, or the standard error of each slurry density sample value can be calculated first using the standard deviation calculation method. After removing the slurry density sample values with a standard error exceeding the threshold, the average value of the remaining slurry density sample values is calculated and used as the finally obtained absorber slurry density.

[0056] In addition, when the circulating pump has been in long-term operation or has undergone major maintenance, its performance will change, and the original functional relationship will also be distorted. It is necessary to refit the function with the previous historical data and update the calculation model.

[0057] Preferably, the difference between the inlet and outlet pressures of the circulating pump can also be divided by the density. This value corresponds to the head of the circulating pump. The working characteristics of the circulating pump can be further analyzed through this value, the correlation of the relationship function between the circulating pump current and the density can be tested, and the accuracy of the density soft measurement can be refined.

[0058] Embodiment 2

[0059] Specifically, in this embodiment, the method for measuring the absorber slurry density based on the correlation of operating parameters provided in Embodiment 1 is used to measure the gypsum slurry density of the absorber in the desulfurization system. Taking the historical operation data of a certain factory for 7 months as an example, the absorber slurry density prediction model is trained, which specifically includes the following steps:

[0060] Step 1: Collect historical data. Export the historical data of the slurry density of the absorber gypsum, the slurry liquid level of the absorber, the motor current of circulating pump A, the motor current of circulating pump B, the motor current of circulating pump C, and the motor current of circulating pump D from the DCS or SIS system. The sampling time interval can be 30 minutes, and abnormal data is removed;

[0061] Step 2: Establish the gypsum slurry density measurement model for each circulation pump based on segmented historical data: The liquid level of the absorption tower is segmented upward starting from 11 m, with a segmentation interval of 0.5 m. A specific data processing software is used to fit the relationship function between the gypsum slurry density (target variable y, unit: kg / m3) and the motor current of the circulation pump (input variable x, unit: A). Specifically, (1) When the slurry liquid level in the absorption tower is 11 - 11.5 m, the scatter plot fitting diagram of the gypsum slurry density of each circulation pump and the motor current of the circulation pump is as shown in Figure 3 ; (2) When the slurry liquid level in the absorption tower is 11.5 - 12 m, the scatter plot fitting diagram of the gypsum slurry density of each circulation pump and the motor current of the circulation pump is as shown in Figure 4 ; (3) When the slurry liquid level in the absorption tower is 12 - 12.5 m, the scatter plot fitting diagram of the gypsum slurry density of each circulation pump and the motor current of the circulation pump is as shown in Figure 5 ; (4) When the slurry liquid level in the absorption tower is 12.5 - 13 m, the scatter plot fitting diagram of the fitted gypsum slurry density of each circulation pump and the motor current of the circulation pump is as shown in Figure 6; (5) When the slurry liquid level in the absorption tower is 13 - 13.5 m, the scatter plot fitting diagram of the fitted gypsum slurry density of each circulation pump and the motor current of the circulation pump is as shown in Figure 7 . In the above Figures 3 to 7 , the abscissa of each function relationship diagram represents the motor current of the circulation pump (A / B / C / D), and the ordinate is the corresponding gypsum slurry density. In the figure, R is the correlation coefficient, and the value of R is [-1, 1]. The closer the absolute value of R is to 1, the stronger the correlation between the gypsum slurry density and the motor current of the circulation pump, and the better the fitting effect.

[0062] Step 3: Substitute real-time data into the calculation model, predict the gypsum slurry density of each circulation pump according to the current of each circulation pump. The average method can be used as the final predicted value, or other optimal methods can be used to calculate the final predicted value. Substitute the operation data of the next 2 months into the calculation model, and a total of 2145 density values are predicted. The average measured density of the absorption tower density meter is 1094 kg / m 3 , and the average predicted density is 1091 kg / m 3 . According to the comparison between each measured value and the predicted value, the average deviation is 8.8 kg / m 3 , the average prediction accuracy reaches 0.8%, the proportion of deviations less than 10 kg / m3 is about 65%, and the proportion of deviations less than 20 kg / m 3 is about 92%. The overall prediction effect is good and can meet the daily operation requirements;

[0063] Step 4: Continuously iterate and update historical data. When the circulation pump has not been overhauled or its performance has not changed suddenly, update the latest operation data into the historical database, and re-establish the gypsum slurry density calculation model according to the latest historical database, and continuously predict the gypsum slurry density according to the iterated calculation model;

[0064] Step 5: When the circulating pump undergoes major overhaul or its performance suddenly changes due to other reasons, this circulating pump shall re - establish the historical learning database according to Step 1 again. After running for a period of time and having enough data, it will participate in the prediction of the density of the gypsum slurry again.

[0065] The schematic diagram of this embodiment is as Figure 8 shown.

[0066] Embodiment 3

[0067] This embodiment provides an absorption tower slurry density measurement system based on the correlation of operating parameters. The absorption tower slurry density measurement system is connected to the absorption tower system, and the absorption tower system includes an absorption tower. The absorption tower slurry density measurement system includes: an acquisition module for acquiring the operating parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period; a training module for training an absorption tower slurry density prediction model by fitting the operating parameters and the slurry density detection value; a detection module for obtaining the absorption tower slurry density by using the absorption tower slurry density prediction model.

[0068] Further, the acquisition module includes: an insertion unit for obtaining the slurry density detection value within a specific time period by using the interpolation method. The specific time period is the intermediate time when the slurry density detection condition is not met. The calculation formula for obtaining the slurry density detection value within a specific time period by using the interpolation method is as follows:

[0069]

[0070] In formula (1), ρ′ represents the slurry density detection value at the target time point, ρ1 represents the nearest slurry density detection value before the target time point, ρ2 represents the nearest slurry density detection value after the target time point, t represents the measurement interval duration between ρ1 and ρ2, and t1 represents the measurement interval duration between ρ1 and ρ′.

[0071] Further, the absorption tower system includes a circulating pump for delivering slurry to the absorption tower. The operating parameters of the absorption tower system include: the operating parameters of the absorption tower, including the slurry liquid level in the absorption tower; and the operating parameters of the circulating pump, including the circulating pump motor current, the circulating pump inlet pressure, and the circulating pump outlet pressure.

[0072] Further, the training module includes: a fitting unit for fitting the operating parameters of multiple circulating pumps with the slurry density detection value respectively to train multiple absorption tower slurry density prediction models respectively. The relational formula between the operating parameters of the circulating pump and the slurry density is as follows:

[0073]

[0074] In formula (2), ρ represents the density of the gypsum slurry, η represents the total efficiency of the circulation pump, U represents the voltage of the circulation pump motor, I represents the current of the circulation pump motor, represents the power factor of the circulation pump, Q represents the flow rate of the circulation pump, H represents the working head of the circulation pump, and 367 is a constant value. The constant value 367 is caused by the conversion of different engineering units. The flow rate unit is m 3 / h. Convert hours to seconds (3600 s), and then divide by g (the acceleration of gravity 9.6), 367 = 3600 / 9.8.

[0075] Further, the system further includes:

[0076] An optimization calculation module, configured to respectively use each absorption tower slurry density prediction model to predict a plurality of slurry density sample values; and then based on each slurry density sample value, calculate the absorption tower slurry density by using a predetermined calculation rule.

[0077] Further, the absorption tower slurry density measurement system based on the correlation of operating parameters further includes a processor and a memory. The acquisition module, the training module, the detection module, the optimization calculation module, etc. are all stored in the memory as program units, and the corresponding functions are implemented by the processor executing the above program modules stored in the memory.

[0078] The processor includes a kernel, and the kernel retrieves the corresponding program unit from the memory. One or more kernels can be set, and the absorption tower slurry density measurement method based on the correlation of operating parameters is realized by adjusting the kernel parameters.

[0079] The memory may include non-permanent memory in a computer-readable medium, forms such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

[0080] An embodiment of the present application provides a storage medium, on which a program is stored, and when the program is executed by a processor, the above-mentioned absorption tower slurry density measurement method based on the correlation of operating parameters is realized.

[0081] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structural diagram may be as shown in FIG. Y. The computer device includes a processor A01, a network interface A02, a memory (not shown in the figure), and a database (not shown in the figure) connected by a system bus. Among them, the processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02, and a database (not shown in the figure). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A04. The database of the computer device is used to store data of the absorption tower slurry density measurement method based on the correlation of operating parameters. The network interface A02 of the computer device is used to communicate with an external terminal through a network connection. When the computer program B02 is executed by the processor A01, it implements an absorption tower slurry density measurement method based on the correlation of operating parameters.

[0082] Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0083] In one embodiment, the absorption tower slurry density measurement system provided by the present application based on the correlation of operating parameters can be implemented in the form of a computer program, and the computer program can run on a computer device as shown in Figure 9 the figure.

[0084] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. 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.) containing computer-usable program code.

[0085] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, as well as the combination of flows and / or blocks in the flowchart and / or block diagram. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing device generate means for implementing the specified functions in the Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the specified functions in a block or multiple blocks.

[0086] These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implement the specified functions in the Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the specified functions in a block or multiple blocks.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in the Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the specified functions in a block or multiple blocks.

[0088] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0089] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0090] A computer-readable medium includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0091] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or also includes elements inherent in such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0092] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters, applicable to the absorption tower system, characterized in that, The absorption tower system includes an absorption tower and a circulation pump for delivering slurry to the absorption tower; the method includes: Obtaining the operating parameters of the absorption tower system and the measured value of the slurry density in the absorption tower at the same time period, where the operating parameters of the absorption tower system include: The operating parameters of the absorption tower, including the slurry liquid level in the absorption tower; The operating parameters of the circulation pump, including the circulation pump motor current, the inlet pressure of the circulation pump, and the outlet pressure of the circulation pump; Training an absorption tower slurry density prediction model by fitting the operating parameters and the measured value of the slurry density; Obtaining the absorption tower slurry density using the absorption tower slurry density prediction model.

2. The method for measuring the slurry density of the absorption tower based on the correlation of operating parameters according to claim 1, characterized in that Obtaining the operating parameters of the absorption tower system and the measured value of the slurry density in the absorption tower at the same time period includes: Obtaining the measured value of the slurry density within a specific time period using the interpolation method, where the specific time period is a time period that meets the slurry density detection conditions.

3. The method for measuring the density of the absorber slurry based on the correlation of operating parameters according to claim 2, characterized in that, The calculation formula for obtaining the measured value of the slurry density within a specific time period using the interpolation method is as follows: (1) In formula (1), represents the detected value of the slurry density at the target time point, represents the most recent detected value of the slurry density before the target time point, represents the most recent detected value of the slurry density after the target time point, represents and the measurement interval duration, represents and the measurement interval duration.

4. The method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters according to claim 1, wherein There are multiple circulation pumps; training an absorption tower slurry density prediction model by fitting the operating parameters and the measured value of the slurry density includes: Respectively fitting the operating parameters of each circulation pump with the measured value of the slurry density to respectively train multiple absorption tower slurry density prediction models.

5. The method for measuring the density of the absorber slurry based on the correlation of operating parameters according to claim 4, wherein The relationship between the operating parameters of the circulation pump and the slurry density is as follows: ρ = η × 367 × U × I × cosφ / (Q × H) (2) In formula (2), ρ represents the gypsum slurry density, η represents the total efficiency of the circulation pump, U represents the circulation pump motor voltage, I represents the circulation pump motor current, cosφ represents the power factor of the circulation pump, Q represents the circulation pump flow rate, H represents the working head of the circulation pump, and 367 is a constant value.

6. The method for measuring the density of the absorber slurry based on the correlation of operating parameters according to claim 4, wherein Obtaining the absorption tower slurry density using the absorption tower slurry density prediction model includes: Respectively predicting multiple slurry density sample values using each absorption tower slurry density prediction model; Based on each slurry density sample value, calculating the absorption tower slurry density using a predetermined calculation rule.

7. The method for measuring the density of the absorber slurry based on the correlation of operating parameters according to claim 6, wherein The predetermined calculation rule includes: Calculating the average value of each slurry density sample value as the absorption tower slurry density; or Calculating the standard error of each slurry density sample value using the standard deviation calculation method; Rejecting the slurry density sample values whose standard error exceeds the threshold; Calculating the average value of the remaining slurry density sample values as the absorption tower slurry density.

8. The method for measuring the density of the slurry in the absorption tower based on the correlation of operating parameters according to claim 1, characterized in that, Before fitting the operating parameters and the measured value of the slurry density, it further includes: Dividing the space in the absorption tower into multiple liquid level segments in the height direction; The fitting the operating parameters and the measured value of the slurry density, training an absorption tower slurry density prediction model includes: Training an absorption tower slurry density prediction model by segment according to the liquid level segment where the slurry is located; When the circulation pump operates at a fixed point on its performance curve and the slurry liquid level changes within the same liquid level segment, the slurry density is approximately linearly related to the circulation pump motor current.

9. An absorption tower slurry density measurement system based on the correlation of operating parameters, characterized in that, The absorption tower slurry density measurement system is connected to the absorption tower system, and the absorption tower system includes an absorption tower and a circulation pump for delivering slurry to the absorption tower; the absorption tower slurry density measurement system includes: An acquisition module, configured to acquire the operating parameters of the absorption tower system and the detected value of the slurry density in the absorption tower at the same time period, wherein the operating parameters of the absorption tower system include: The operating parameters of the absorption tower, including the slurry liquid level in the absorption tower; The operating parameters of the circulation pump, including the motor current of the circulation pump, the inlet pressure of the circulation pump, and the outlet pressure of the circulation pump; A training module, configured to train an absorption tower slurry density prediction model by fitting the operating parameters and the detected value of the slurry density; A detection module, configured to obtain the absorption tower slurry density by using the absorption tower slurry density prediction model.

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