Method and device for controlling and evaluating liquid level of slurry in limestone wet desulfurization tower

Abstract

The invention provides a method and device for controlling and evaluating the liquid level of slurry in a limestone wet desulfurization tower, and relates to the technical field of control. The method comprises the following steps: acquiring liquid level data of slurry in a desulfurization tower; determining a liquid level fluctuation evaluation index according to the liquid level data of the slurry in the desulfurization tower and a preset liquid level maximum fluctuation threshold value, and determining a liquid level control limit value proximity evaluation index according to the liquid level data of the slurry in the desulfurization tower, a preset optimal operation liquid level threshold value and a preset highest operation liquid level threshold value; and determining a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit value proximity evaluation index, and evaluating the liquid level control difficulty of the slurry in the desulfurization tower according to the control difficulty coefficient. The device executes the method. According to the method and the device provided by the embodiment of the invention, safe operation of a desulfurization system can be guaranteed by accurately and quantitatively evaluating the control difficulty of the liquid level of the slurry in the limestone wet desulfurization tower.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of control, in particular to a limestone wet desulfurization tower internal slurry liquid level control evaluation method and device. BACKGROUND

[0002] 70% of the flue gas desulfurization purification systems use limestone wet flue gas desulfurization (FGD) process, which uses effective CaCO3 in desulfurization slurry to neutralize SO2 in flue gas to achieve desulfurization. However, with frequent and rapid changes in load under flexible adjustment of coal-fired units, deep peak shaving and low load operation have a great impact on the safe operation of environmental protection facilities of coal-fired units and the environmental protection standard emission. When the unit is operated at low load, the flue gas volume decreases, and the desulfurization outlet flue gas temperature decreases, so the water carried by the saturated wet flue gas is greatly reduced. Under the condition of full load and 20% rated load operation of different capacity units, without considering the difference in flue gas composition at the desulfurization inlet, the water carried by the desulfurization outlet flue gas is quite different. At the same time, low load does not cause a significant reduction in the desulfurization system inlet water flow, so the imbalance of inlet and outlet water flow increases the difficulty of desulfurization tower internal liquid level control under low load conditions. SUMMARY

[0003] To solve the problems in the prior art, the present application provides a limestone wet desulfurization tower internal slurry liquid level control evaluation method and device, which can at least partially solve the problems in the prior art.

[0004] In one aspect, the present application provides a limestone wet desulfurization tower internal slurry liquid level control evaluation method, comprising:

[0005] Obtaining desulfurization tower internal slurry liquid level data; the desulfurization tower internal slurry liquid level data is the liquid level running data of the same time interval before the current time;

[0006] According to the desulfurization tower internal slurry liquid level data and the preset liquid level maximum fluctuation threshold, determining a liquid level fluctuation evaluation index, and according to the desulfurization tower internal slurry liquid level data, the preset optimal running liquid level threshold and the preset highest running liquid level threshold, determining a liquid level control limit proximity evaluation index;

[0007] According to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, determining a control difficulty coefficient, and evaluating the desulfurization tower internal slurry liquid level control difficulty according to the control difficulty coefficient.

[0008] According to the desulfurization tower internal slurry liquid level data and the preset liquid level maximum fluctuation threshold, determining a liquid level fluctuation evaluation index, and according to the desulfurization tower internal slurry liquid level data, the preset optimal running liquid level threshold and the preset highest running liquid level threshold, determining a liquid level control limit proximity evaluation index;

[0009] According to the desulfurization tower internal slurry liquid level data, determining the liquid level fluctuation average value of all time points;

[0010] determine the liquid level fluctuation evaluation index according to the liquid level fluctuation average value of all time and the preset maximum liquid level fluctuation threshold.

[0011] The method further comprises:

[0012] The liquid level fluctuation value of each time is calculated according to each two adjacent liquid level operation data;

[0013] The liquid level fluctuation average value of all time is determined as the average value of the liquid level fluctuation value of each time.

[0014] The method further comprises:

[0015] The liquid level fluctuation evaluation index is calculated according to the following formula:

[0016]

[0017] The liquid level fluctuation evaluation index is calculated according to the following formula: max The preset maximum liquid level fluctuation threshold.

[0018] The method further comprises:

[0019] The liquid level control limit value proximity evaluation index is calculated according to the following formula:

[0020]

[0021] The liquid level control limit value proximity evaluation index is calculated according to the following formula: target The preset optimal running liquid level threshold, h up The preset highest running liquid level threshold, n is the sum of the current time and the time corresponding to the same time interval before the current time, h i Each liquid level operation data of the slurry liquid level data in the desulfurization tower.

[0022] The method further comprises:

[0023] The control difficulty coefficient is calculated according to the following formula:

[0024] CDI = VC × (1 + α × ULPC)

[0025] Wherein, the CDI is the control difficulty coefficient, the VC is the liquid level fluctuation evaluation index, the ULPC is the liquid level control limit proximity evaluation index, and the alpha is an amplification weight coefficient.

[0026] In one aspect, the present application provides a limestone wet desulfurization tower internal slurry liquid level control evaluation device, comprising:

[0027] An acquisition unit is configured to acquire slurry liquid level data in a desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data at continuous same time intervals before a current time;

[0028] A determination unit is configured to determine a liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and determine a liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold;

[0029] An evaluation unit is configured to determine a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluate a control difficulty of the slurry liquid level in the desulfurization tower according to the control difficulty coefficient.

[0030] In another aspect, the present application provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the following method when executing the computer program:

[0031] Acquire slurry liquid level data in a desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data at continuous same time intervals before a current time;

[0032] Determine a liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and determine a liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold;

[0033] Determine a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluate a control difficulty of the slurry liquid level in the desulfurization tower according to the control difficulty coefficient.

[0034] The present application provides a computer readable storage medium, comprising:

[0035] The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the following method:

[0036] Obtaining slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of the same time interval continuously before the current time;

[0037] According to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, a liquid level fluctuation evaluation index is determined, and according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold, a liquid level control limit proximity evaluation index is determined;

[0038] According to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, a control difficulty coefficient is determined, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient.

[0039] The embodiment of the present application also provides a computer program product, the computer program product comprises a computer program, the computer program is executed by a processor to realize the following method:

[0040] Obtaining slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of the same time interval continuously before the current time;

[0041] According to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, a liquid level fluctuation evaluation index is determined, and according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold, a liquid level control limit proximity evaluation index is determined;

[0042] According to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, a control difficulty coefficient is determined, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient.

[0043] The limestone wet desulfurization tower slurry liquid level control evaluation method and device provided by the embodiment of the present application, obtain slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of the same time interval continuously before the current time; according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, a liquid level fluctuation evaluation index is determined, and according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold, a liquid level control limit proximity evaluation index is determined; according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, a control difficulty coefficient is determined, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient, through the accurate and quantifiable evaluation of the limestone wet desulfurization tower slurry liquid level control difficulty, the safe operation of the desulfurization system can be ensured. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative effort. In the drawings:

[0045] Figure 1 is a flowchart of the limestone wet desulfurization tower internal slurry liquid level control evaluation method provided by an embodiment of the present application.

[0046] Figure 2 is a structural diagram of the limestone wet desulfurization tower internal slurry liquid level control evaluation device provided by an embodiment of the present application.

[0047] Figure 3 is a computer device entity structure diagram provided by an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will further describe the embodiments of the present application in combination with the drawings. Herein, the illustrative embodiments of the present application and the descriptions thereof are used to explain the present application, but not as a limitation of the present application. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other at will.

[0049] Figure 1 is a flowchart of the limestone wet desulfurization tower internal slurry liquid level control evaluation method provided by an embodiment of the present application, as shown in Figure 1 The limestone wet desulfurization tower internal slurry liquid level control evaluation method provided by the embodiments of the present application comprises:

[0050] Step S1: obtaining desulfurization tower internal slurry liquid level data; the desulfurization tower internal slurry liquid level data is the liquid level running data of the same time interval before the current time.

[0051] Step S2: determining a liquid level fluctuation evaluation index according to the desulfurization tower internal slurry liquid level data and a preset liquid level maximum fluctuation threshold, and determining a liquid level control limit proximity evaluation index according to the desulfurization tower internal slurry liquid level data, a preset optimal running liquid level threshold and a preset highest running liquid level threshold.

[0052] Step S3: determining a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluating the desulfurization tower internal slurry liquid level control difficulty according to the control difficulty coefficient.

[0053] In step S1, the device obtains the slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is the liquid level running data of the same time interval continuously before the current time. The device can be a computer device or the like for executing the method, for example, a server. The slurry liquid level data in the desulfurization tower is denoted as h1, h2,..., hn. n wherein h n is the liquid level running data at the current time, that is, the slurry liquid level value. The time interval between h2 and h1,..., hn is the same. n and h n-1 .

[0054] In step S2, the device determines the liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and the preset maximum liquid level fluctuation threshold, and determines the liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, the preset optimal running liquid level threshold, and the preset highest running liquid level threshold. The difficulty of water balance control needs to consider the fluctuation of the liquid level and the proximity of the liquid level to the control limit value. The greater the numerical fluctuation and the closer the liquid level to the upper control limit value, the more difficult it is for the operator to control the liquid level.

[0055] The determination of the liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and the preset maximum liquid level fluctuation threshold comprises:

[0056] determining the liquid level fluctuation mean value at all times according to the slurry liquid level data in the desulfurization tower;

[0057] determining the liquid level fluctuation evaluation index according to the liquid level fluctuation mean value at all times and the preset maximum liquid level fluctuation threshold.

[0058] The determination of the liquid level fluctuation mean value at all times according to the slurry liquid level data in the desulfurization tower comprises:

[0059] calculating the liquid level fluctuation value at each time according to each two adjacent liquid level running data; the liquid level fluctuation value at each time is calculated according to the following formula:

[0060] MR i = |h i+1- h i |

[0061] wherein the value range of i is between 1 and n, h i is the i-th liquid level running data, and MR i is the liquid level fluctuation value at each time. The liquid level unit of the embodiment of the application is m, which will not be described in detail hereinafter.

[0062] The average value of the liquid level fluctuation value at each time is determined as the liquid level fluctuation mean value at all times. The liquid level fluctuation mean value at all times is calculated according to the following formula:

[0063]

[0064] wherein AMR is the average of the liquid level fluctuation at all time points.

[0065] The liquid level fluctuation evaluation index is determined according to the average of the liquid level fluctuation at all time points and the preset maximum liquid level fluctuation threshold.

[0066] The liquid level fluctuation evaluation index is calculated according to the following formula:

[0067]

[0068] wherein VC is the liquid level fluctuation evaluation index, AMR is the average of the liquid level fluctuation at all time points, MR max is the preset maximum liquid level fluctuation threshold. The preset maximum liquid level fluctuation threshold is a constant set according to historical operation data extreme value or unit condition.

[0069] The liquid level control limit value proximity evaluation index is determined according to the slurry liquid level data in the desulfurization tower, the preset optimal operation liquid level threshold and the preset maximum operation liquid level threshold.

[0070] The liquid level control limit value proximity evaluation index is calculated according to the following formula:

[0071]

[0072] wherein ULPC is the liquid level control limit value proximity evaluation index, h target is the preset optimal operation liquid level threshold, h up is the preset maximum operation liquid level threshold, and n is the sum of the current time point and the time points corresponding to the same continuous time interval before the current time point, h i is each liquid level operation data of the slurry liquid level data in the desulfurization tower. The preset optimal operation liquid level threshold is set according to the unit operation condition, and the preset maximum operation liquid level threshold is set with reference to the equipment operation regulation.

[0073] In the above step S3, the device determines a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit value proximity evaluation index, and evaluates the slurry liquid level control difficulty in the desulfurization tower according to the control difficulty coefficient.

[0074] The control difficulty coefficient is determined according to the liquid level fluctuation evaluation index and the liquid level control limit value proximity evaluation index.

[0075] The control difficulty coefficient is calculated according to the following formula:

[0076] CDI = VC x (1 + a x ULPC)

[0077] Wherein, CDI is the control difficulty coefficient, VC is the liquid level fluctuation evaluation index, ULPC is the liquid level control limit proximity evaluation index, a is the amplification weight coefficient, dimensionless, default value is 2.

[0078] The control difficulty coefficient can be used to directly evaluate the control difficulty of the slurry liquid level in the desulfurization tower.

[0079] Further, the control difficulty coefficient can be normalized according to the following formula:

[0080] CDS = min(max(0, A x lg(B x CDI + 1)), 100)

[0081] Wherein, CDS is the normalized control difficulty coefficient, dimensionless, the value is between 1 and 100. A and B are scaling coefficients, used to adjust the sensitivity and range of the function, which are reasonably set according to the actual operation of the unit.

[0082] The control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the normalized control difficulty coefficient, as shown in Table 1:

[0083] Table 1

[0084] CDS Difficulty level Qualitative assessment 1-40 Low Well controlled 41-70 Medium Attention needed 71-90 High Difficult to control 91-100 Emergency Very difficult to control

[0085] Further, the limestone wet desulfurization tower slurry liquid level control evaluation method provided by the embodiment of the present application is described as follows:

[0086] Taking a limestone wet desulfurization tower of a coal-fired unit as an example, 30 current time slurry liquid level values are listed, as shown in Table 2:

[0087] Table 2

[0088] Moment Liquid level Moment Liquid level 1 10.0 16 12.2 2 10.1 17 12.4 3 10.3 18 12.6 4 10.2 19 12.8 5 10.4 20 13.0 6 10.6 21 13.2 7 10.5 22 13.4 8 10.7 23 13.6 9 10.9 24 13.8 10 11.0 25 13.9 11 11.2 26 13.7 12 11.4 27 13.5 13 11.6 28 13.3 14 11.8 29 13.1 15 12.0 30 12.9

[0089] The specific evaluation data is shown in Table 3:

[0090] Table 3

[0091] Parameter Unit Value AMR m 0.183 MR max ]] m 0.4 VC / 0.458 h target ]]> m 11 h up ]]> m 14 ULPC / 0.333 CDI / 1.125 A / 85 B / 5 CDS / 85

[0092] With the frequent participation of coal-fired power plants in deep adjustment conditions, the water inflow in the limestone wet flue gas desulfurization tower under low load is much larger than the water outflow, causing the liquid level to rise; the fluctuation of the slurry liquid level caused by frequent load changes is not conducive to the stable control of the liquid level. In order to improve the effective monitoring and operation adjustment efficiency of the liquid level, the limestone wet flue gas desulfurization tower slurry liquid level control evaluation method provided by the embodiment of the present application starts from two dimensions of the fluctuation of the liquid level and the closeness of the liquid level to the control limit, and realizes the evaluation of the slurry liquid level control difficulty in the desulfurization tower.

[0093] The limestone wet flue gas desulfurization tower slurry liquid level control evaluation method provided by the embodiment of the present application acquires slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of the same time interval continuously before the current time; a liquid level fluctuation evaluation index is determined according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and a liquid level control limit closeness evaluation index is determined according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold; a control difficulty coefficient is determined according to the liquid level fluctuation evaluation index and the liquid level control limit closeness evaluation index, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient, so as to accurately and quantitatively evaluate the control difficulty of the slurry liquid level in the limestone wet flue gas desulfurization tower, and to ensure the safe operation of the desulfurization system.

[0094] In the above optional embodiment, the liquid level fluctuation evaluation index is determined according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and the liquid level fluctuation evaluation index includes:

[0095] The liquid level fluctuation mean value of all time points is determined according to the slurry liquid level data in the desulfurization tower; the above embodiment can be referred to, and details are not repeated.

[0096] The liquid level fluctuation evaluation index is determined according to the liquid level fluctuation mean value of all time points and the preset maximum liquid level fluctuation threshold. The above embodiment can be referred to, and details are not repeated.

[0097] In the above optional embodiment, the liquid level fluctuation mean value of all time points is determined according to the slurry liquid level data in the desulfurization tower, and the liquid level fluctuation mean value of all time points includes:

[0098] The liquid level fluctuation value of each time point is calculated according to each two adjacent liquid level operation data; the above embodiment can be referred to, and details are not repeated.

[0099] The average value of the liquid level fluctuation value of each time point is determined as the liquid level fluctuation mean value of all time points. The above embodiment can be referred to, and details are not repeated.

[0100] In the above optional embodiment, the liquid level fluctuation evaluation index is determined according to the liquid level fluctuation mean value of all time points and the preset maximum liquid level fluctuation threshold, and the liquid level fluctuation evaluation index includes:

[0101] The liquid level fluctuation evaluation index is calculated according to the following formula:

[0102]

[0103] Wherein, VC is the liquid level fluctuation evaluation index, AMR is the average liquid level fluctuation at all times, and MR is... max This is the preset maximum liquid level fluctuation threshold. Refer to the above embodiments for further details; no further repetition is necessary.

[0104] In the above optional embodiments, the step of determining the liquid level control limit proximity evaluation index based on the slurry level data in the desulfurization tower, the preset optimal operating liquid level threshold, and the preset maximum operating liquid level threshold includes:

[0105] The liquid level control limit proximity evaluation index is calculated using the following formula:

[0106]

[0107] Wherein, ULPC is the proximity evaluation index of the liquid level control limit, h target h is the preset optimal operating liquid level threshold. up The preset maximum operating liquid level threshold is defined as n, where n is the sum of the current time and the consecutive identical time intervals preceding it, and h is the maximum operating liquid level threshold. i This refers to the operational data for each liquid level of the slurry in the desulfurization tower. Refer to the above embodiments for further details; no further repetition is necessary.

[0108] In the above optional embodiments, determining the control difficulty coefficient based on the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index includes:

[0109] The control difficulty coefficient is calculated using the following formula:

[0110] CDI = VC × (1 + α × ULPC)

[0111] Wherein, CDI is the control difficulty coefficient, VC is the liquid level fluctuation evaluation index, ULPC is the liquid level control limit proximity evaluation index, and α is the amplification weighting coefficient. Refer to the above embodiments for further explanation; no further elaboration will be provided.

[0112] Figure 2 This is a schematic diagram of the structure of a limestone wet desulfurization tower slurry level control and evaluation device provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the limestone wet desulfurization tower slurry level control and evaluation device provided in this embodiment of the invention includes an acquisition unit 201, a determination unit 202, and an evaluation unit 303, wherein:

[0113] The acquisition unit 201 is configured to acquire slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of a same time interval continuously before a current time; the determination unit 202 is configured to determine a liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and a preset maximum fluctuation threshold of the liquid level, and determine a liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold; and the evaluation unit 203 is configured to determine a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluate the control difficulty of the slurry liquid level in the desulfurization tower according to the control difficulty coefficient.

[0114] Specifically, the acquisition unit 201 in the device is configured to acquire slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of a same time interval continuously before a current time; the determination unit 202 is configured to determine a liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and a preset maximum fluctuation threshold of the liquid level, and determine a liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold; and the evaluation unit 203 is configured to determine a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluate the control difficulty of the slurry liquid level in the desulfurization tower according to the control difficulty coefficient.

[0115] The device for evaluating the control of the slurry liquid level in the limestone wet desulfurization tower provided by the embodiment of the application acquires the slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data of a same time interval continuously before a current time; a liquid level fluctuation evaluation index is determined according to the slurry liquid level data in the desulfurization tower and a preset maximum fluctuation threshold of the liquid level, and a liquid level control limit proximity evaluation index is determined according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold; a control difficulty coefficient is determined according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient, so that the control difficulty of the slurry liquid level in the limestone wet desulfurization tower can be accurately and quantitatively evaluated, and the safe operation of the desulfurization system can be ensured.

[0116] The embodiment of the device for evaluating the control of the slurry liquid level in the limestone wet desulfurization tower provided by the embodiment of the application can be specifically configured to execute the processing procedures of the above-mentioned method embodiments, and the functions thereof will not be described here again, and the detailed description can be referred to the above-mentioned method embodiments.

[0117] Figure 3 The computer device entity structure schematic diagram provided by the embodiment of the application is as follows, Figure 3As shown, the computer device comprises a memory 301, a processor 302, and a computer program stored on the memory 301 and capable of running on the processor 302, and the processor 302 implements the following method when executing the computer program:

[0118] obtaining slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level running data of continuous same time intervals before the current time;

[0119] determining a liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and determining a liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, a preset optimal running liquid level threshold, and a preset highest running liquid level threshold;

[0120] determining a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluating slurry liquid level control difficulty in the desulfurization tower according to the control difficulty coefficient.

[0121] The embodiment discloses a computer program product, which comprises a computer program, and the computer program implements the following method when executed by a processor:

[0122] obtaining slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level running data of continuous same time intervals before the current time;

[0123] determining a liquid level fluctuation evaluation index according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and determining a liquid level control limit proximity evaluation index according to the slurry liquid level data in the desulfurization tower, a preset optimal running liquid level threshold, and a preset highest running liquid level threshold;

[0124] determining a control difficulty coefficient according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and evaluating slurry liquid level control difficulty in the desulfurization tower according to the control difficulty coefficient.

[0125] The embodiment provides a computer readable storage medium, which stores a computer program, and the computer program implements the following method when executed by a processor:

[0126] obtaining slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level running data of continuous same time intervals before the current time;

[0127] The liquid level fluctuation evaluation index is determined according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and the liquid level control limit proximity evaluation index is determined according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold;

[0128] The control difficulty coefficient is determined according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient.

[0129] Compared with the technical solutions in the prior art, the limestone wet desulfurization tower slurry liquid level control evaluation method provided in the embodiments of the present application acquires slurry liquid level data in the desulfurization tower; the slurry liquid level data in the desulfurization tower is liquid level operation data in the same time interval continuously before the current time; the liquid level fluctuation evaluation index is determined according to the slurry liquid level data in the desulfurization tower and a preset maximum liquid level fluctuation threshold, and the liquid level control limit proximity evaluation index is determined according to the slurry liquid level data in the desulfurization tower, a preset optimal operation liquid level threshold and a preset highest operation liquid level threshold; the control difficulty coefficient is determined according to the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and the control difficulty of the slurry liquid level in the desulfurization tower is evaluated according to the control difficulty coefficient, so that the control difficulty of the limestone wet desulfurization tower slurry liquid level can be accurately and quantitatively evaluated, and the safe operation of the desulfurization system can be ensured.

[0130] Those skilled in the art should understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt a completely hardware embodiment, a completely 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 containing computer usable program code (including but not limited to disk storage, CD-ROM, optical storage, etc.).

[0131] The present application is described with reference to flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks. Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks.

[0132] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the flow Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0134] In the description of the present specification, the description of the terms "one embodiment", "one specific embodiment", "some embodiments", "for example", "exemplary", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in one or more embodiments or examples.

[0135] The above-described specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above-described specific embodiments are only specific embodiments of the present application and are not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for evaluating the slurry level control in a limestone wet desulfurization tower, characterized in that, include: Acquire slurry level data inside the desulfurization tower; the slurry level data inside the desulfurization tower is the level operation data of consecutive time intervals before the current moment; The liquid level fluctuation evaluation index is determined based on the slurry level data in the desulfurization tower and the preset maximum liquid level fluctuation threshold, and the liquid level control limit proximity evaluation index is determined based on the slurry level data in the desulfurization tower, the preset optimal operating liquid level threshold, and the preset maximum operating liquid level threshold. The control difficulty coefficient is determined based on the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and the control difficulty coefficient is used to assess the difficulty of controlling the slurry level in the desulfurization tower.

2. The method for assessing and controlling the slurry level in a limestone wet desulfurization tower according to claim 1, characterized in that, The step of determining the liquid level fluctuation evaluation index based on the slurry level data in the desulfurization tower and the preset maximum liquid level fluctuation threshold includes: The average level fluctuation at all times is determined based on the slurry level data inside the desulfurization tower. The liquid level volatility evaluation index is determined based on the average liquid level fluctuation at all times and the preset maximum liquid level fluctuation threshold.

3. The method for assessing and controlling the slurry level in a limestone wet desulfurization tower according to claim 2, characterized in that, The step of determining the average level fluctuation over all time periods based on the slurry level data in the desulfurization tower includes: The liquid level fluctuation value at each moment is calculated based on the liquid level operation data of every two adjacent liquid levels. The average value of the liquid level fluctuation at each time point is determined as the average liquid level fluctuation at all times.

4. The method for controlling and evaluating the slurry level in a limestone wet desulfurization tower according to claim 2, characterized in that, The step of determining the liquid level volatility evaluation index based on the average liquid level fluctuation at all times and the preset maximum liquid level fluctuation threshold includes: The liquid level fluctuation evaluation index is calculated according to the following formula: Wherein, VC is the liquid level fluctuation evaluation index, AMR is the average liquid level fluctuation at all times, and MR is... max The preset maximum fluctuation threshold for liquid level.

5. The method for assessing and controlling the slurry level in a limestone wet desulfurization tower according to claim 1, characterized in that, The determination of the liquid level control limit proximity evaluation index based on the slurry level data in the desulfurization tower, the preset optimal operating liquid level threshold, and the preset maximum operating liquid level threshold includes: The liquid level control limit proximity evaluation index is calculated using the following formula: Wherein, ULPC is the proximity evaluation index of the liquid level control limit, h target h is the preset optimal operating liquid level threshold. up The preset maximum operating liquid level threshold is defined as n, where n is the sum of the current time and the consecutive identical time intervals preceding it, and h is the maximum operating liquid level threshold. i This refers to the operational data for each liquid level of the slurry in the desulfurization tower.

6. The method for assessing and controlling the slurry level in a limestone wet desulfurization tower according to claim 1, characterized in that, The step of determining the control difficulty coefficient based on the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index includes: The control difficulty coefficient is calculated using the following formula: CDI = VC × (1 + α × ULPC) Wherein, CDI is the control difficulty coefficient, VC is the liquid level fluctuation evaluation index, ULPC is the liquid level control limit proximity evaluation index, and α is the amplification weighting coefficient.

7. A device for controlling and evaluating the slurry level in a limestone wet desulfurization tower, characterized in that, include: The acquisition unit is used to acquire slurry level data in the desulfurization tower; the slurry level data in the desulfurization tower is the level operation data of consecutive equal time intervals before the current moment; The determining unit is used to determine the liquid level fluctuation evaluation index based on the slurry level data in the desulfurization tower and the preset maximum liquid level fluctuation threshold, and to determine the liquid level control limit proximity evaluation index based on the slurry level data in the desulfurization tower, the preset optimal operating liquid level threshold and the preset maximum operating liquid level threshold. An evaluation unit is used to determine the control difficulty coefficient based on the liquid level fluctuation evaluation index and the liquid level control limit proximity evaluation index, and to evaluate the difficulty of controlling the slurry level in the desulfurization tower based on the control difficulty coefficient.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 6.

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