CN116519534A - Absorption tower slurry density measuring method and system based on operation parameter correlation - Google Patents
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Abstract
The application relates to the technical field of absorption tower slurry density measurement, in particular to an absorption tower slurry density measurement method and system based on correlation of operation parameters. An absorption tower slurry density measuring method based on the correlation of operation parameters is applicable to an absorption tower system, wherein the absorption tower system comprises an absorption tower; the method comprises the following steps: acquiring operation parameters of an absorption tower system and a slurry density detection value in the absorption tower at the same time interval; training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value; and obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower. The wet desulfurization slurry density measurement method based on the soft measurement of the important parameters of the key equipment of the circulating pump of the absorption tower can effectively solve the difficult problem that the online gypsum slurry densimeter of the absorption tower is difficult to accurately measure.
Description
Technical Field
The application relates to the technical field of absorption tower slurry density measurement, in particular to an absorption tower slurry density measurement method based on operation parameter correlation and an absorption tower slurry density measurement system based on operation parameter correlation.
Background
The absorption tower system is a core system for limestone-gypsum wet flue gas desulfurization, and the slurry density of the absorption tower is one of key parameters of the absorption tower system, and has great influence on aspects such as desulfurization efficiency, power consumption of a desulfurization system, a gypsum dehydration system and the like. However, in the actual operation process, the density measurement accuracy of most absorption tower slurry is often insufficient, even part of the absorption tower slurry density is in an inaccurate measurement state for a long time, and operators are required to sample and measure manually frequently, so that the problems of rough operation management of a desulfurization system, poor stability of the desulfurization system, higher energy consumption, high labor intensity of the operators and the like are caused. Therefore, how to realize accurate measurement of slurry density of the absorption tower is a great difficulty to be solved by the power plant.
For example, the density of gypsum slurry in absorption towers is usually measured directly by a special densitometer, or by a differential pressure transmitter, and then converted to a density. The gypsum slurry of the absorption tower is solid-liquid two-phase flow, and a large number of bubbles are also arranged in the absorption tower. When the pressure of the gypsum slurry is reduced, a large amount of bubbles can be separated out from the slurry, and sometimes the bubbles can be enriched in a measuring instrument; furthermore, small solid particles in the gypsum slurry can scour and abrade the meter on the one hand and form a coating and scale on the surface of the meter on the other hand. The combined action of the factors causes the difficulty in accurately measuring the density of the gypsum slurry of the absorption tower.
Because the density of gypsum slurry in the absorption tower is difficult to accurately measure, partial operators can primarily judge the density of the slurry by observing the current change of the circulating pump, and then accurately grasp the specific value of the density of the slurry by manual sampling and measurement. Sometimes, inaccurate measurement can be caused due to insufficient sampling, and particularly when the densimeter is damaged, the densimeter can only be manually measured, so that the workload of operators is increased.
Disclosure of Invention
It is an object of embodiments of the present application to provide a method for measuring the density of an absorber slurry based on the correlation of operating parameters and a system for measuring the density of an absorber slurry based on the correlation of operating parameters.
In order to achieve the above object, a first aspect of the present application provides an absorption tower slurry density measurement method based on correlation of operation parameters, which is applicable to an absorption tower system, the absorption tower system comprising an absorption tower; the method comprises the following steps: acquiring operation parameters of an absorption tower system and a slurry density detection value in the absorption tower at the same time interval; training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value; and obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower.
Based on the first aspect, in some embodiments of the present application, obtaining the operating parameter of the absorber system and the slurry density detection value in the absorber for the same period of time includes: and obtaining a slurry density detection value in a specific time period by using an insertion method, wherein the specific time period is an intermediate time period meeting the slurry density detection condition.
Based on the first aspect, in some embodiments of the present application, the interpolation method calculates the slurry density detection value over a specific period of time as follows:
in the formula (1), ρ' represents a slurry density detection value at a target time point, ρ 1 Represents the last slurry density detection value, ρ, before the target time point 2 Represents the last slurry density detection value after the target time point, t represents ρ 1 And ρ 2 Is a measurement interval duration of t 1 Representation ρ 1 And rho'.
Based on the first aspect, in some embodiments of the present application, the absorber system includes a circulation pump for delivering slurry into the absorber, and the operating parameters of the absorber system include: the operating parameters of the absorber column, including the slurry level in the absorber column; and operating parameters of the circulation pump including circulation pump motor current, circulation pump inlet pressure, and circulation pump outlet pressure.
Based on the first aspect, in some embodiments of the present application, the circulation pump is a plurality of circulation pumps; and training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value, wherein the method comprises the following steps of: fitting the operation parameters of each circulating pump with the slurry density detection values respectively to train and obtain a plurality of absorption tower slurry density prediction models respectively.
Based on the first aspect, in some embodiments of the present application, the operational parameters of the circulation pump are related to the slurry density as follows:
in the formula (2), ρ represents the density of gypsum slurry, and η represents the circulation pumpThe total efficiency, U, represents the motor voltage of the circulation pump, I represents the motor current of the circulation pump,the power factor of the circulating pump is represented, Q represents the flow rate of the circulating pump, H represents the working lift of the circulating pump, and 367 is a constant value.
Based on the first aspect, in some embodiments of the present application, obtaining the absorber slurry density using the absorber slurry density prediction model comprises: respectively predicting by using slurry density prediction models of the absorption towers to obtain a plurality of slurry density sample values; based on each slurry density sample, the slurry density of the absorption tower is calculated by adopting a preset calculation rule.
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 slurry density of the absorption tower; or calculating the standard error of each slurry density sample by using a standard deviation calculation method; rejecting slurry density samples with standard errors exceeding a threshold; the average value of the remaining slurry density samples was calculated as the absorber slurry density.
Based on the first aspect, in some embodiments of the present application, before fitting the operation parameter to the slurry density detection value, training an absorber slurry density prediction model, further includes: dividing the space in the absorption tower into a plurality of liquid level sections according to the height direction; and fitting the operation parameters and the slurry density detection values, and training to obtain an absorption tower slurry density prediction model, wherein the method comprises the following steps of: the slurry density prediction model of the absorption tower is obtained by sectional training according to the liquid level section where the slurry is positioned; when the circulating pump works at a fixed point on the performance curve and the slurry liquid level changes in the same liquid level section, the slurry density and the circulating pump motor current approximately form a linear relation.
In a second aspect, the present application provides an absorber slurry density measurement system based on operational parameter correlation, the absorber slurry density measurement system being coupled to an absorber system, the absorber system comprising an absorber; the absorption tower slurry density measurement system comprises: the acquisition module is used for acquiring the operation parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period; the training module is used for training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value; and the detection module is used for obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower.
The scheme that this application provided has following beneficial effect at least:
1. the wet desulfurization slurry density measurement method based on the soft measurement of the important parameters of the key equipment of the circulating pump of the absorption tower can effectively solve the difficult problem that the online gypsum slurry densimeter of the absorption tower is difficult to accurately measure.
2. According to the method, a gypsum slurry density and absorber key equipment parameter database is established, acquisition is carried out through a DCS system or an SIS system, and then modeling calculation is carried out, so that frequent manual sampling and measurement by operators are avoided, fine management of a desulfurization system can be realized, the stability of the desulfurization system is kept, and the aims of energy conservation and consumption reduction can be achieved.
Additional features and advantages of embodiments of the present application will be set forth in the detailed description that follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and together with the description serve to explain, without limitation, the embodiments of the present application. In the drawings:
FIG. 1 schematically illustrates an application environment of an embodiment of an absorber slurry density measurement method based on operating parameter correlation;
FIG. 2 schematically illustrates a flow diagram of an embodiment absorber slurry density measurement method based on operating parameter correlation;
FIG. 3 is a schematic illustration of a plot of gypsum slurry density versus circulating pump (A/B/C/D) motor current for an absorber tower slurry level of 11-11.5 m in an example;
FIG. 4 schematically shows a plot of gypsum slurry density versus circulating pump (A/B/C/D) motor current for absorption tower slurry levels of 11.5-12 m in the example;
FIG. 5 schematically shows a plot of gypsum slurry density versus circulating pump (A/B/C/D) motor current for absorption tower slurry levels of 12-12.5 m in the example;
FIG. 6 schematically shows a plot of gypsum slurry density versus circulating pump (A/B/C/D) motor current for absorption tower slurry levels of 12.5-13 m in the example;
FIG. 7 is a plot schematically showing a scatter plot of gypsum slurry density versus circulating pump (A/B/C/D) motor current for absorber slurry levels of 13-13.5 m in the example;
FIG. 8 schematically illustrates a functional block diagram of absorber slurry density measurement based on operating parameter correlation in an embodiment of the present application;
fig. 9 schematically shows an internal structural diagram of a computer device according to an embodiment of the present application.
Description of the reference numerals
102-terminal; 104-a server; a01-a processor; a02-a network interface; a03-an internal memory; a04-nonvolatile storage medium; b01-operating system; b02-computer program.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the specific implementations described herein are only for illustrating and explaining the embodiments of the present application, and are not intended to limit the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that, in the embodiment of the present application, directional indications (such as up, down, left, right, front, and rear) are referred to, and the directional indications are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be regarded as not exist and not within the protection scope of the present application.
Example 1
The absorption tower slurry density measuring method based on the operation parameter correlation can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
Fig. 2 schematically shows a flow chart of an absorber slurry density measurement method based on operational parameter correlation according to an embodiment of the present application. The absorption tower slurry density measuring method based on the correlation of the operation parameters is applicable to an absorption tower system; the method comprises the following steps:
s1, acquiring operation parameters of an absorption tower system and a slurry density detection value in an absorption tower at the same time interval;
specifically, the absorption tower system includes an absorption tower and a circulation pump for feeding slurry into the absorption tower. The operating parameters of the absorber system include slurry level in the absorber, circulation pump motor current, circulation pump inlet pressure, circulation pump outlet pressure, and the like. The above-mentioned operating parameters can be collected by a DCS system (distributed control system) or a SIS system (safety instrumented system). The slurry density detection value in the absorption tower can be manually sampled and measured by a densitometer.
Taking the gypsum slurry density as an example, a specific time period is required to be selected during measurement to ensure the accuracy of data detection, and the specific time period in the embodiment refers to unit load and absorption tower inlet gas (SO 2 ) The concentration was relatively stable and no demister rinse and gypsum discharge occurred. At this time, the change of the gypsum slurry density is approximately linear with time, and in order to reduce the workload, the change of the gypsum slurry density can be normally measured once in 1 hour or 2 hours, and then the corresponding density is calculated by an insertion method in the middle time period by taking minutes as a unit. Specifically, the following calculation formula can be used to calculate the slurry density detection value:
in the formula (1), ρ' represents a slurry density detection value at a target time point, ρ 1 Represents the last slurry density detection value, ρ, before the target time point 2 Represents the last slurry density detection value after the target time point, t represents ρ 1 And ρ 2 Is a measurement interval duration of t 1 Representation ρ 1 And rho'.
In addition, it is noted that the collected (1) operational parameters of the absorber system and (2) slurry density measurements in the absorber should be correlated in time, i.e., operational parameters and slurry density measurements at the same point in time.
S2, training to obtain an absorption tower slurry density prediction model by fitting the operation parameters and the slurry density detection value;
typically, there are a plurality of circulation pumps, and in this embodiment, the slurry density prediction model of the absorber is trained for each circulation pump (for delivering slurry to the absorber) in the system based on the number of circulation pumps. Specifically, the operation parameters (possibly different) of each circulating pump can be respectively fitted with the slurry density detection values, so as to respectively train to obtain a plurality of slurry density prediction models (circulating pumps and models are in one-to-one correspondence). Wherein the operating parameters of the circulation pump and the slurry density can be expressed by the following relation:
in the formula (2), ρ represents the density of gypsum slurry, η represents the total efficiency of the circulation pump, U represents the motor voltage of the circulation pump, I represents the motor current of the circulation pump,the power factor of the circulating pump is represented, Q represents the flow rate of the circulating pump, H represents the working lift of the circulating pump, and 367 is a constant value. Wherein the constant 367 is caused by conversion of different engineering units, and the flow unit is m 3 Per h, the hours are converted into seconds (3600 s) and divided by g (gravitational acceleration 9.6), 367=3600/9.8.
Further, according to the working characteristics of the circulating pump, when the slurry level in the absorption tower is fixed, the circulating pump generally works at a certain fixed point on the performance curve, and at this time, the flow Q, the lift H, the total efficiency eta and the power factor of the pumpThe values are fixed, the voltage of the circulating pump motor is generally constant, and the density rho of the gypsum slurry is theoretically in linear relation with the current I of the circulating pump motor. However, in actual operation, the liquid level of the absorption tower fluctuates, when the liquid level fluctuates in a small range, the linear relation between the gypsum slurry density ρ and the current I of the circulating pump is better, so that the space in the absorption tower can be divided into a plurality of liquid level sections according to the height direction, namely n1, n2 and n3 …, then according to the liquid level section where the slurry is located, the functional relation between the gypsum slurry density ρ and the current I of the circulating pump is fitted to a large amount of historical data of each section, and on each corresponding liquid level section of the absorption tower, a series of prediction models of the slurry density of the absorption tower are formed (piecewise function: ρ=f 1 (I)、ρ＝f 2 (I)、ρ＝f 3 (I)…)。
S3, obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower.
Taking the sectional absorption tower slurry density prediction model in the step S2 as an example, when the slurry density is predicted subsequently, the current I of the circulating pump motor running in real time can be substituted into the corresponding function according to the liquid level of the absorption tower, so as to calculate the corresponding gypsum slurry density ρ.
Of course, if there are multiple circulation pumps, there may be a difference in the slurry density (sample) values predicted by the slurry density prediction model of the absorption tower constructed based on different circulation pumps (the data of different circulation pumps may be calculated to verify each other, and then compared with the measured data of the online densitometer of the absorption tower to determine the accuracy of the measured data of the online densitometer of the absorption tower), so that the obtained multiple slurry density (sample) values may be further subjected to optimization processing. For example, when the circulation pump is operated at 2 stations, an average value of each slurry density (sample) value may be calculated as the finally obtained slurry density of the absorption column; when the slurry density sampling device works at 3 or more than 3, the average value can be adopted, the standard error of each slurry density sample can be calculated by a standard deviation calculation method, and after the slurry density sample with the standard error exceeding a threshold value is removed, the average value of the rest slurry density samples is calculated and is used as the slurry density of the finally obtained absorption tower.
In addition, when the circulating pump runs for a long time or the circulating pump is overhauled greatly, the performance can change, the original function relationship can be distorted, the function needs to be fitted again to the previous historical data, and the calculation model is updated.
Preferably, the difference of the circulating pump outlet pressure divided by the density is also used, the value corresponds to the circulating pump lift, the operating characteristic of the circulating pump can be further analyzed through the value, the correlation of the relation function of the circulating pump current and the density is checked, and the accuracy of the density soft measurement is refined.
Example 2
Specifically, in this embodiment, the method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters provided in embodiment 1 is used to measure the gypsum slurry density of the absorption tower in the desulfurization system, and taking 7 month history operation data of a certain plant as an example, the method specifically includes the following steps:
step 1: historical data are collected, the slurry density of the gypsum of the absorption tower, the slurry liquid level of the absorption tower, the motor current of the circulating pump A, the motor current of the circulating pump B, the motor current of the circulating pump C and the motor current of the circulating pump D are derived from a DCS or SIS system, the sampling time interval can be 30min, and abnormal data are removed;
step 2: establishing a gypsum slurry density measurement model of each circulating pump in a segmented mode through historical data: the liquid level of the absorption tower is segmented upwards from 11m, the segmentation interval is 0.5m, and a specific data processing software is adopted to fit a relation function of gypsum slurry density (target variable y, unit: kg/m 3) and circulating pump motor current (input variable x, unit: A). Specifically, (1) when the slurry liquid level in the absorption tower is 11-11.5 m, a scatter point fitting diagram of the gypsum slurry density of each circulating pump and the motor current of the circulating pump is shown in figure 3; (2) When the slurry liquid level in the absorption tower is 11.5-12 m, a scatter fitting diagram of the gypsum slurry density of each circulating pump and the motor current of the circulating pump is shown in fig. 4; (3) When the slurry liquid level in the absorption tower is 12-12.5 m, a scatter fitting diagram of the gypsum slurry density of each circulating pump and the motor current of the circulating pump is shown in fig. 5; (4) When the slurry liquid level in the absorption tower is 12.5-13 m, fitting gypsum slurry density and scattered point fitting diagram of the motor current of the circulating pump by each circulating pump are shown as 6; (5) A plot of the fitted gypsum slurry density of each circulation pump and the scattered point fitting of the motor current of the circulation pump at the slurry level of 13-13.5 m in the absorption tower is shown in FIG. 7. In fig. 3 to 7, the abscissa of each functional relation diagram represents the motor current of the circulating pump (a/B/C/D), the ordinate represents the corresponding gypsum slurry density, R in the diagram is the correlation coefficient, the value of R is [ -1,1], and 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 circulating pump is, and the better the fitting effect is.
Step 3: the real-time data are substituted into a calculation model, and the respective gypsum slurry density is predicted according to the current of each circulating pump, and the final predicted value can be calculated by adopting an averaging method or other optimization methods. Substituting the following 2 months of operational data into the calculation model, a total of 2145 were predictedDensity value, average value of 1094kg/m measured density of absorption tower densimeter 3 The average value of the predicted density is 1091kg/m 3 According to the comparison of each measured value and the predicted value, the average deviation is 8.8kg/m 3 The average prediction accuracy reaches 0.8%, the deviation is less than 10kg/m3 and the ratio is about 65%, and the deviation is less than 20kg/m 3 The ratio is about 92%, the overall prediction effect is good, and the daily operation requirement can be met;
step 4: continuously and iteratively updating historical data, when the circulating pump is not overhauled or the performance is not mutated, updating and inputting the latest operation data into a historical database, reestablishing a gypsum slurry density calculation model according to the latest historical database, and continuously predicting the gypsum slurry density according to the iterated calculation model;
step 5: when the circulating pump is subjected to overhaul or other reasons to cause performance mutation, the circulating pump reestablishes a history learning database according to the first step, and participates in gypsum slurry density prediction after enough data are available after the circulating pump is operated for a period of time.
The schematic diagram of this embodiment is shown in fig. 8.
Example 3
The embodiment provides an absorption tower slurry density measurement system based on the correlation of operation parameters, wherein the absorption tower slurry density measurement system is connected with an absorption tower system, and the absorption tower system comprises an absorption tower; the absorption tower slurry density measurement system comprises: the acquisition module is used for acquiring the operation parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period; the training module is used for training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value; and the detection module is used for obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower.
Further, the obtaining module includes: an insertion unit for obtaining a slurry density detection value within a specific time period, which is an intermediate time when the slurry density detection condition is not satisfied, by using an insertion method; the calculation formula for calculating the slurry density detection value in a specific period of time by the interpolation method is as follows:
in the formula (1), ρ' represents a slurry density detection value at a target time point, ρ 1 Represents the last slurry density detection value, ρ, before the target time point 2 Represents the last slurry density detection value after the target time point, t represents ρ 1 And ρ 2 Is a measurement interval duration of t 1 Representation ρ 1 And rho'.
Further, the absorber system includes a circulation pump for delivering slurry into the absorber, and the operating parameters of the absorber system include: the operating parameters of the absorber column, including the slurry level in the absorber column; and operating parameters of the circulation pump including circulation pump motor current, circulation pump inlet pressure, and circulation pump outlet pressure.
Further, the training module includes: fitting unit, which is used to fit the operation parameters of multiple circulating pumps with the slurry density detection values respectively, so as to train and obtain multiple absorption tower slurry density prediction models respectively; the operational parameters of the circulation pump and the slurry density are related as follows:
in the formula (2), ρ represents the density of gypsum slurry, η represents the total efficiency of the circulation pump, U represents the motor voltage of the circulation pump, I represents the motor current of the circulation pump,the power factor of the circulating pump is represented, Q represents the flow rate of the circulating pump, H represents the working lift of the circulating pump, and 367 is a constant value. Wherein the constant 367 is caused by conversion of different engineering units, and the flow unit is m 3 Per h, the hours are converted into seconds (3600 s) and divided by g (gravitational acceleration 9.6), 367=3600/9.8.
Further, the system further comprises:
the optimization calculation module is used for respectively predicting a plurality of slurry density samples by utilizing the slurry density prediction model of each absorption tower; and calculating the slurry density of the absorption tower by adopting a preset calculation rule based on each slurry density sample value.
Further, the absorption tower slurry density measuring system based on the correlation of the operation parameters further comprises a processor and a memory, wherein the acquisition module, the training module, the detection module, the optimization calculation module and the like are all stored in the memory as program units, and the processor executes the program modules stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the absorption tower slurry density measuring method based on the correlation of the operation parameters is realized by adjusting the kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the application provides a storage medium, and a program is stored on the storage medium, and the program is executed by a processor to realize the absorption tower slurry density measuring method based on the operation parameter correlation.
In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. Y. The computer device includes a processor a01, a network interface a02, a memory (not shown) and a database (not shown) connected by a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes internal memory a03 and nonvolatile storage medium a04. The nonvolatile 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 nonvolatile storage medium a04. The database of the computer device is used for storing data of the absorption tower slurry density measuring method based on the correlation of the operation parameters. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program B02, when executed by the processor a01, implements a method for measuring absorber slurry density based on operational parameter correlations.
It will be appreciated by those skilled in the art that the structure shown in fig. 9 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the absorber slurry density measurement system based on the correlation of operating parameters provided herein may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 9.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer-readable media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer 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 technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. An absorption tower slurry density measuring method based on the correlation of operation parameters is applicable to an absorption tower system, and is characterized in that the absorption tower system comprises an absorption tower; the method comprises the following steps:
acquiring operation parameters of an absorption tower system and a slurry density detection value in the absorption tower at the same time interval;
training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value;
and obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower.
2. The method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters according to claim 1, wherein obtaining the operation parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period comprises:
and obtaining a slurry density detection value in a specific time period by using an insertion method, wherein the specific time period is a time period meeting the slurry density detection condition.
3. The method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters according to claim 2, wherein the calculation formula for calculating the slurry density detection value in the specific time period by the interpolation method is as follows:
in the formula (1), ρ ′ Slurry density detection value ρ representing target time point 1 Represents the last slurry density detection value, ρ, before the target time point 2 Represents the last slurry density detection value after the target time point, t represents ρ 1 And ρ 2 Is a measurement interval duration of t 1 Representation ρ 1 And ρ ′ Is provided for the measurement interval duration of (a).
4. The method for measuring the density of the slurry in the absorption tower based on the correlation of the operation parameters according to claim 1, wherein the absorption tower system includes a circulation pump for feeding the slurry into the absorption tower, and the operation parameters of the absorption tower system include:
the operating parameters of the absorber column, including the slurry level in the absorber column; and
the operating parameters of the circulation pump include circulation pump motor current, circulation pump inlet pressure, and circulation pump outlet pressure.
5. The method for measuring slurry density of an absorption tower based on correlation of operation parameters according to claim 4, wherein the circulating pump is provided in plurality; and training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value, wherein the method comprises the following steps of:
fitting the operation parameters of each circulating pump with the slurry density detection values respectively to train and obtain a plurality of absorption tower slurry density prediction models respectively.
6. The method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters according to claim 5, wherein the relation between the operation parameters of the circulating pump and the slurry density is as follows:
in the formula (2), ρ represents the density of gypsum slurry, η represents the total efficiency of the circulation pump, U represents the motor voltage of the circulation pump, I represents the motor current of the circulation pump,the power factor of the circulating pump is represented, Q represents the flow rate of the circulating pump, H represents the working lift of the circulating pump, and 367 is a constant value.
7. The method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters according to claim 5, wherein the step of obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower comprises the steps of:
respectively predicting by using slurry density prediction models of the absorption towers to obtain a plurality of slurry density sample values;
based on each slurry density sample, the slurry density of the absorption tower is calculated by adopting a preset calculation rule.
8. The method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters according to claim 7, wherein the predetermined calculation rule includes:
calculating the average value of each slurry density sample value as the slurry density of the absorption tower; or (b)
Calculating standard error of each slurry density sample by using a standard deviation calculation method;
rejecting slurry density samples with standard errors exceeding a threshold;
the average value of the remaining slurry density samples was calculated as the absorber slurry density.
9. The method for measuring the slurry density of the absorption tower based on the correlation of the operation parameters according to claim 4, further comprising, before fitting the operation parameters to the slurry density detection values:
dividing the space in the absorption tower into a plurality of liquid level sections according to the height direction;
and fitting the operation parameters and the slurry density detection values, and training to obtain an absorption tower slurry density prediction model, wherein the method comprises the following steps of:
the slurry density prediction model of the absorption tower is obtained by sectional training according to the liquid level section where the slurry is positioned;
when the circulating pump works at a fixed point on the performance curve and the slurry liquid level changes in the same liquid level section, the slurry density and the circulating pump motor current approximately form a linear relation.
10. An absorption tower slurry density measurement system based on the correlation of operation parameters is characterized in that the absorption tower slurry density measurement system is connected with an absorption tower system, and the absorption tower system comprises an absorption tower; the absorption tower slurry density measurement system comprises:
the acquisition module is used for acquiring the operation parameters of the absorption tower system and the slurry density detection value in the absorption tower at the same time period;
the training module is used for training to obtain a slurry density prediction model of the absorption tower by fitting the operation parameters and the slurry density detection value;
and the detection module is used for obtaining the slurry density of the absorption tower by using the slurry density prediction model of the absorption tower.
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