A quantitative control method for slag cooler

Abstract

The present application discloses a quantitative control method for a slag cooler, including: obtaining production data and pressure difference of a material layer at each sampling time point, and recording the production data as stable data when the maximum difference of the production data within the sampling time period is less than or equal to the first stable threshold; calculating the sampling average value of the slag cooler adjustment amount and the rate of change of the material layer pressure difference in each group of stable data; respectively calculating the maximum difference of the coal feeder adjustment amount and the primary fan adjustment amount in two adjacent groups of stable data, and when both are less than or equal to the second stable threshold, calculating the change amount of the slag cooler adjustment amount and the rate of change of the material layer pressure difference in the two adjacent groups of stable data; generating a fitting curve according to the change amount of the slag cooler adjustment amount and the rate of change of the material layer pressure difference; determining the target slag cooler adjustment amount on the fitting curve according to the given target value of the rate of change of the material layer pressure difference. The technical solution in the present application solves the problem of poor accuracy in the control of the bottom slag discharge of the existing slag cooler.

Description

Technical Field

[0001] The present application relates to the technical field of slag coolers, and in particular to a quantitative control method for slag coolers. Background Art

[0002] For circulating fluidized bed boilers, timely slag discharge is necessary to ensure continuous and safe operation of the boiler, control the furnace bed pressure, prevent large particle material deposition and coking in the boiler, and maintain good fluidization conditions. As a key auxiliary equipment for discharging bottom slag, the slag cooler plays a key role in controlling the continuous discharge of bottom slag, recovering the heat of bottom slag, reducing the temperature of bottom slag, and reducing thermal pollution.

[0003] At present, the main control method of the slag cooler is to measure the thickness of the bottom slag layer to be discharged, perform PID control calculation through a distributed control system (DCS), and send the control signal of the adjustment amount of the slag cooler to the programmable logic control system PLC. The PLC controls the opening of the slag discharge door of the slag cooler, thereby realizing the control of the slag discharge amount.

[0004] However, in the prior art, such methods simply control the thickness of the material layer by measuring it, without considering the factors that affect the thickness of the material layer. For example, the primary air volume will affect the thickness of the material layer. When the pressure difference of the material layer is changed, if the primary fan has just been adjusted, the pressure difference of the material layer will be in an unstable state. At this time, using the pressure difference of the material layer to control the slag cooler will cause the problem of inaccurate bottom slag discharge. For another example, the amount of coal fed will also affect the thickness of the material layer. If the pressure difference of the material layer is changed, after the coal feeder feeds coal, the pressure difference of the material layer is also in an unstable state, which will change the thickness of the material layer, thereby affecting the quantitative control accuracy of the bottom slag discharge of the slag cooler.

[0005] At the same time, the PID feedback control method used has a time lag problem, and slag discharge may not be timely, affecting boiler operation. In addition to this PID feedback control method, the PID parameters need to be adjusted according to the parameters of different boilers. Since the PID feedback control method controls the slag cooler through the target material layer pressure difference through the coefficients of the proportional term, integral term, and differential term, and the slag cooler of each boiler often has its own characteristics, a lot of debugging work is usually required to determine the values ​​of each PID coefficient. It has the disadvantages of requiring early debugging, heavy workload, and inability to self-learn. Summary of the invention

[0006] The purpose of the present application is to solve the problems of poor accuracy and time lag in the existing control of the bottom slag discharge of the slag cooler based on the thickness of the material layer, and to realize a feedforward quantitative control method.

[0007] The technical solution of the present application is: to provide a quantitative control method for a slag cooler, the method comprising: step 1, obtaining the production data of the boiler at each sampling time point and the corresponding material layer pressure difference, when it is determined that the maximum difference of each production data within a sampling time period is less than or equal to the first stable threshold value, recording each production data within a sampling time period as a group of stable data, wherein the production data at least includes the slag cooler adjustment amount, the coal feeder adjustment amount and the primary fan adjustment amount; step 2, calculating the sampling average value of the slag cooler adjustment amount in each group of stable data and the material layer pressure difference change rate of the material layer pressure difference corresponding to the sampling time period; step 3, respectively calculating the maximum value of the coal feeder adjustment amount of the coal feeder in two adjacent groups of stable data. The maximum difference and the maximum difference of the fan adjustment amount of the primary fan are determined. When it is determined that the maximum difference of the coal feeder and the maximum difference of the fan are less than or equal to the second stable threshold, the difference between the corresponding sampling average values ​​of the two adjacent groups of stable data is calculated, which is recorded as the change of the slag cooler adjustment amount, and the corresponding change rate of the material layer pressure difference is calculated; step 4, according to the change of the slag cooler adjustment amount and the change rate of the material layer pressure difference, the data are grouped and aggregated according to the change of the slag cooler adjustment amount, and the pressure difference-adjustment amount curve is generated by fitting; step 5, according to the given target value of the change rate of the material layer pressure difference, the target slag cooler adjustment amount is determined on the pressure difference-adjustment amount curve, and the target slag cooler adjustment amount is used to control the bottom slag discharge of the slag cooler.

[0008] In any of the above technical solutions, further, step 1 also includes: judging whether the maximum difference of each production data within a sampling time period is less than or equal to a first stable threshold, and the process specifically includes: selecting the maximum value and the minimum value of each production data within the sampling time period respectively, recording the difference between the maximum value and the minimum value as the maximum difference, and calculating the average value of each production data; calculating the product of the average value and the fluctuation ratio, recorded as the first stable threshold; judging whether the maximum difference is less than or equal to the first stable threshold, if so, recording each production data within a sampling time period as a group of stable data, if not, deleting each production data within the sampling time period.

[0009] In any of the above technical solutions, further, in step 2, the material layer pressure difference change rate of the material layer pressure difference corresponding to the sampling time period is calculated, specifically including: at the beginning and end of the sampling time period, respectively, selecting the pressure difference start data and the pressure difference end data corresponding to the material layer pressure difference within the preset time window range; respectively calculating the first average value of the pressure difference start data and the second average value of the pressure difference end data; and calculating the material layer pressure difference change rate based on the difference between the first average value and the second average value.

[0010] In any of the above technical solutions, further, the second stable threshold value includes a coal feeder stable threshold value and a fan stable threshold value, and step 3 specifically includes: respectively selecting the maximum and minimum values ​​of the coal feeder adjustment amount and the primary fan adjustment amount in two adjacent groups of stable data, and calculating the difference between the maximum and minimum values ​​in the coal feeder adjustment amount, recorded as the maximum difference of the coal machine, and calculating the difference between the maximum and minimum values ​​of the primary fan adjustment amount, recorded as the maximum difference of the fan; calculating the average value of the coal feeder adjustment amount and the average value of the primary fan adjustment amount, and recording the product of the average value of the coal feeder adjustment amount and the fluctuation ratio as the coal feeder stable threshold value, and recording the product of the average value of the primary fan adjustment amount and the fluctuation ratio as the fan stable threshold value; judging whether the maximum difference of the coal machine is less than or equal to the coal machine stable threshold value, and whether the maximum difference of the fan is less than or equal to the fan stable threshold value, if so, calculating the difference between the corresponding sampling average values ​​of the two adjacent groups of stable data, recorded as the change in the cooler adjustment amount, and calculating the corresponding change in the material layer pressure difference change rate, if not, deleting the two adjacent groups of stable data.

[0011] In any of the above technical solutions, further, step 3 also includes: when it is determined that the change in the cooler adjustment amount or the change in the material layer pressure difference change rate is less than a preset threshold, deleting the change in the cooler adjustment amount and the corresponding change in the material layer pressure difference change rate.

[0012] In any of the above technical solutions, further, step 4 specifically includes: step 41, sorting the change in the adjustment amount of the slag cooler, grouping and aggregating the sorted change in the adjustment amount of the slag cooler according to the preset numerical interval, and recording it as the adjustment amount fitting data group; step 42, calculating the median of the change in the material layer pressure difference change rate corresponding to any group of adjustment amount fitting data groups, recording it as the pressure difference fitting data, calculating the median of the change in the slag cooler adjustment amount corresponding to the adjustment amount fitting data group, recording it as the adjustment amount fitting data; step 43, generating a pressure difference-adjustment amount curve by fitting according to the adjustment amount fitting data and the pressure difference fitting data.

[0013] In any of the above technical solutions, further, step 41 also includes: deleting the adjustment amount fitting data group whose number of data in the adjustment amount fitting data group is less than the number threshold.

[0014] The beneficial effects of this application are:

[0015] The technical solution in the present application takes into account the main factors affecting the thickness of the material layer, the adjustment of the primary fan and the adjustment of the coal feeder, and combines the rate of change of the material layer pressure difference and the adjustment amount of the slag cooler. Through data smoothing judgment and group aggregation, the quantitative adjustment amount of the slag cooler is obtained by the feedforward method of model prediction, which makes up for the deficiency of the existing slag cooler control that only considers the thickness of the material layer and causes inaccurate adjustment amount, effectively solves the time lag problem of the existing feedback control, and can automatically adapt to different boilers, and there is no cold start problem of PID control. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The advantages of the above and / or additional aspects of the present application will become apparent and easily understood in the description of the embodiments in conjunction with the following drawings, in which:

[0017] Figure 1 is a schematic flow chart of a slag cooler quantitative control method according to an embodiment of the present application;

[0018] Figure 2 is a scatter diagram of the change in the rate of change of the pressure difference of the material layer and the change in the adjustment amount of the slag cooler according to an embodiment of the present application;

[0019] Figure 3 It is a scatter diagram of the change in the pressure difference change rate of the material layer after polymerization and the change in the adjustment amount of the slag cooler according to an embodiment of the present application;

[0020] Figure 4 is a scatter diagram of the change in the rate of change of the pressure difference of the material layer and the change in the adjustment amount of the slag cooler with a model fitting line according to an embodiment of the present application;

[0021] Figure 5 is a data trend diagram of actual slag cooler adjustment amount change according to an embodiment of the present application;

[0022] Figure 6 It is a data trend chart of the change in the adjustment amount of the slag cooler predicted by the model according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0024] In the following description, many specific details are elaborated to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present application is not limited to the specific embodiments disclosed below.

[0025] like Figure 1 As shown, this embodiment provides a quantitative control method for a slag cooler, the method comprising:

[0026] Step 1, obtaining the production data of the boiler at each sampling time point and the corresponding material layer pressure difference, when it is determined that the maximum difference of each production data in a sampling time period is less than or equal to the first stable threshold, each production data in a sampling time period is recorded as a group of stable data, wherein the production data at least includes the adjustment amount of the slag cooler, the adjustment amount of the coal feeder and the adjustment amount of the primary fan;

[0027] Specifically, the production data selected in this embodiment include parameters such as the coal feeder adjustment amount C, the primary fan adjustment amount F, and the slag cooler adjustment amount S, and these parameters and the material layer pressure difference P can be read through the DCS system. In the process of reading the above data, each data can correspond to a sampling time point, so the above data can correspond one to one in the time dimension.

[0028] It should be noted that this embodiment does not limit the implementation of the DCS system.

[0029] Therefore, the production data and the material layer pressure difference P corresponding to multiple sampling time points in each sampling time period can be obtained by data reading.

[0030] Furthermore, step 1 also includes: judging whether the maximum difference of each production data within a sampling time period is less than or equal to a first stable threshold value, and the process specifically includes: selecting the maximum value and the minimum value of each production data within the sampling time period respectively, recording the difference between the maximum value and the minimum value as the maximum difference, and calculating the average value of each production data; calculating the product of the average value and the fluctuation ratio, recorded as the first stable threshold value; judging whether the maximum difference is less than or equal to the first stable threshold value, if so, judging that the production data within the sampling time period is stable, and recording each production data within a sampling time period as a group of stable data, if not, judging that the production data within the sampling time period is not stable, and deleting each production data within the sampling time period.

[0031] Specifically, when judging whether the production data in a certain sampling time period is stable, the production data that need to be used may include the coal feeder adjustment amount C, the primary fan adjustment amount F, and the slag cooler adjustment amount S. Only when these data meet the data stability judgment conditions, the production data in the sampling time period is considered stable. The corresponding stable data judgment conditions are:

[0032] max(x)-min(x)≤mean(x)×n%

[0033] In the formula, x is the selected data field, which can be the coal feeder adjustment amount C, the primary fan adjustment amount F, and the slag cooler adjustment amount S. max(x), min(x), and mean(x) are the maximum value, minimum value, and average value in the data field, respectively. The calculation process of the average value mean(x) is not repeated here. n% is the fluctuation ratio, and is the set value.

[0034] That is to say, the above-mentioned production data is defined as stable as follows: within the time length (t) of a certain sampling time period, when it is determined that the coal feeder adjustment amount C, the primary fan adjustment amount F and the slag cooler adjustment amount S all meet the stable data judgment conditions, then this segment of production data is a stable data segment.

[0035] Step 2, calculate the sampling average value of the slag cooler adjustment amount S in each group of stable data and the material layer pressure difference change rate of the material layer pressure difference P in the corresponding sampling time period; wherein, the sampling average value of the slag cooler adjustment amount S is the ratio of the sum of the adjustment amounts S of each slag cooler in the group of stable data to the number of data.

[0036] Furthermore, in step 2, the calculation of the change rate is smoothed using a time window to eliminate data jumps in the layer pressure difference. Therefore, the layer pressure difference change rate corresponding to the layer pressure difference P in the sampling time period specifically includes:

[0037] At the beginning and end of the sampling time period, respectively, the pressure difference start data and the pressure difference end data corresponding to the material layer pressure difference P within the preset time window are selected;

[0038] Calculate the first average value of the pressure difference start data and the second average value of the pressure difference end data respectively;

[0039] The layer pressure difference change rate is calculated according to the difference between the first average value and the second average value.

[0040] Specifically, the preset time window may include three sampling time points, and three material layer pressure differences may be selected at the beginning and end of the sampling time period, which are recorded as pressure difference start data (p1, p2, p3) and pressure difference end data (p n-3 、p n-2 、p n-1 ), where n is the number of sampling time points in the sampling time period, the selected pressure difference start data does not include the first data p0, and the pressure difference end data does not include the last data p n .

[0041] After that, the pressure difference change rate of the material layer can be calculated according to the corresponding calculation formula. The corresponding calculation formula is:

[0042]

[0043] Where V p is the pressure difference change rate of the material layer, mean(p n-3 、p n-2 、p n-1 ) is the average value of the pressure difference end data, mean(p1, p2, p3) is the average value of the pressure difference start data, t n-2 , t2 is the sampling time point of the corresponding material layer pressure difference P at the end and the beginning.

[0044] Step 3, respectively calculate the maximum difference of the coal feeder adjustment amount of the coal feeder and the maximum difference of the primary fan adjustment amount in two adjacent sets of stable data. When it is determined that the maximum difference of the coal feeder and the maximum difference of the fan are less than or equal to the second stable threshold, calculate the difference between the corresponding sampling average values ​​of the two adjacent sets of stable data, record it as the change of the slag cooler adjustment amount, and calculate the corresponding change rate of the material layer pressure difference; wherein, the second stable threshold includes the coal feeder stable threshold and the fan stable threshold.

[0045] Furthermore, step 3 specifically includes:

[0046] Select the maximum and minimum values ​​of the coal feeder adjustment amount and the primary fan adjustment amount in two adjacent groups of stable data respectively, and calculate the difference between the maximum and minimum values ​​of the coal feeder adjustment amount, which is recorded as the maximum difference of the coal feeder, and calculate the difference between the maximum and minimum values ​​of the primary fan adjustment amount, which is recorded as the maximum difference of the fan;

[0047] Calculate the average value of the coal feeder adjustment amount and the average value of the primary fan adjustment amount, and record the product of the average value of the coal feeder adjustment amount and the fluctuation ratio as the coal feeder stable threshold, and record the product of the average value of the primary fan adjustment amount and the fluctuation ratio as the fan stable threshold;

[0048] Determine whether the maximum difference of the coal machine is less than or equal to the coal machine stable threshold, and whether the maximum difference of the fan is less than or equal to the fan stable threshold. If so, calculate the difference between the corresponding sampling average values ​​of the two adjacent sets of stable data, record it as the change in the adjustment amount of the slag cooler, and calculate the corresponding change in the rate of change of the material layer pressure difference. If not, delete the two adjacent sets of stable data.

[0049] Specifically, the above-mentioned stable data judgment conditions are used to perform stable data judgment on the coal feeder adjustment amount and the primary fan adjustment amount in two adjacent groups of stable data. Only when the coal feeder adjustment amount and the primary fan adjustment amount are both stable, the change in the slag cooler adjustment amount and the change in the rate of change of the material layer pressure difference are calculated. Otherwise, the current stable data is skipped and the next two adjacent groups of stable data are calculated.

[0050] Preferably, step 3 also includes: when it is determined that the change in the slag cooler adjustment amount or the change in the material layer pressure difference change rate is less than a preset threshold, deleting the change in the slag cooler adjustment amount and the corresponding change in the material layer pressure difference change rate. The preset threshold is a data close to 0, that is, filtering out the data close to 0 in the change in the slag cooler adjustment amount and the corresponding change in the material layer pressure difference change rate.

[0051] In this embodiment, the calculation formula for the change in the slag cooler adjustment amount and the corresponding change in the material layer pressure difference change rate is:

[0052]

[0053]

[0054] In the formula, i is the number of groups of stationary data, is the sampling average value of the slag cooler adjustment amount S, ΔS is the change of the slag cooler adjustment amount, ΔV p is the change rate of the pressure difference of the material layer.

[0055] Accordingly, Figure 2 The change rate of the pressure difference of the material layer ΔV is given p The scatter plot between the change in the slag cooler adjustment amount ΔS, from which we can see the change rate of the pressure difference of the material layer ΔV p It is negatively correlated with the change in the slag cooler adjustment amount ΔS.

[0056] Step 4, according to the change of the slag cooler adjustment amount and the change of the pressure difference change rate of the material layer, group and aggregate the data according to the change of the slag cooler adjustment amount, and generate a pressure difference-adjustment amount curve by fitting;

[0057] Further, step 4 specifically includes:

[0058] Step 41, sorting the variation of the adjustment amount of the slag cooler, grouping and aggregating the sorted variation of the adjustment amount of the slag cooler according to the preset numerical interval, and recording it as the adjustment amount fitting data group;

[0059] It should be noted that the number of data in any set of adjustment amount fitting data groups may be the same or different, but the difference between the maximum and minimum values ​​must be within the range of the preset numerical interval to achieve grouping aggregation of the change in the adjustment amount of the slag cooler.

[0060] Preferably, step 41 further includes: deleting the adjustment amount fitting data group whose number of data is less than the number threshold. That is, if the number threshold is set to 3, then the array whose number of data is less than 3 in the adjustment amount fitting data group is deleted.

[0061] like Figure 3As shown in the figure, the change in the adjustment amount of the slag cooler after grouping and aggregation shows an obvious correlation with the change in the rate of change of the pressure difference of the material layer.

[0062] Step 42, calculating the median of the change in the material layer pressure difference change rate corresponding to any set of adjustment amount fitting data groups, recorded as pressure difference fitting data, and calculating the median of the change in the slag cooler adjustment amount corresponding to the set of adjustment amount fitting data groups, recorded as adjustment amount fitting data;

[0063] In this embodiment, when aggregating data within each group, the median of the rate of change of the pressure difference of the material layer and the median of the change of the adjustment amount of the slag cooler within the group are selected as the aggregation results of the group, and each group is aggregated into one piece of data.

[0064] Step 43, generating a pressure difference-adjustment amount curve by fitting according to the adjustment amount fitting data and the pressure difference fitting data.

[0065] Specifically, Figure 4 As shown, the change rate of the pressure difference of the material layer is ΔV p is the independent variable, and the change in the slag cooler adjustment amount ΔS is the dependent variable. That is to say, the data of the independent variable and the dependent variable used to fit the data are the data after grouping and aggregation. The independent variable is the rate of change of the material layer pressure difference after aggregation, and the dependent variable is the change in the slag cooler adjustment amount after aggregation.

[0066] The regression model is established using the machine learning univariate no-intercept algorithm and the fitting operation is performed. The corresponding univariate no-intercept equation can be described as:

[0067] y=a×x

[0068] Where a is the regression coefficient. The specific fitting process will not be described in detail.

[0069] Step 5, according to the given target value of the rate of change of the pressure difference of the material layer, determine the target slag cooler adjustment amount on the pressure difference-adjustment amount curve, and the target slag cooler adjustment amount is used to control the bottom slag discharge of the slag cooler.

[0070] like Figure 5 and Figure 6As shown, the prediction effect of the model can be proved by comparison. Specifically, by using boiler production data to establish a slag cooler control model, the relationship between the change rate of the pressure difference change of the material layer and the adjustment amount of the slag cooler is obtained; by setting the target material layer pressure difference, the current material layer pressure difference, and a certain pressure difference change reaction time, the target material layer pressure difference change rate is obtained; then the current material layer pressure difference change rate is calculated in real time, and the difference between the target and the current is the change rate of the pressure difference change rate of the material layer. The quantitative value of the slag cooler adjustment amount is obtained through model prediction. In the actual slag cooler control, a stable moment after a period of adjustment of the primary fan and the coal feeder is selected in real time, and this adjustment amount is used to control the slag discharge door opening of the slag cooler. The quantitative control method of the model has the advantages of self-learning, feedforward, and quantitative.

[0071] The above describes in detail the technical solution of the present application in combination with the accompanying drawings. The present application proposes a quantitative control method for a slag cooler, which includes: step 1, obtaining the production data of the boiler at each sampling time point and the corresponding material layer pressure difference. When it is determined that the maximum difference of each production data within a sampling time period is less than or equal to the first stable threshold value, each production data within a sampling time period is recorded as a group of stable data, wherein the production data at least includes the slag cooler adjustment amount, the coal feeder adjustment amount and the primary fan adjustment amount; step 2, calculating the sampling average value of the slag cooler adjustment amount in each group of stable data and the material layer pressure difference change rate of the material layer pressure difference in the corresponding sampling time period; step 3, respectively calculating the coal feeder adjustment amount in two adjacent groups of stable data. The maximum difference of the coal feeder for saving and the maximum difference of the fan for primary fan adjustment. When it is determined that the maximum difference of the coal feeder and the maximum difference of the fan are less than or equal to the second stable threshold, the difference between the corresponding sampling average values ​​of the two adjacent groups of stable data is calculated, recorded as the change of the slag cooler adjustment amount, and the corresponding change rate of the pressure difference of the material layer is calculated; step 4, according to the change of the slag cooler adjustment amount and the change of the pressure difference of the material layer, the data is grouped and aggregated according to the change of the slag cooler adjustment amount, and the pressure difference-adjustment amount curve is generated by fitting; step 5, according to the given target value of the change rate of the pressure difference of the material layer, the target slag cooler adjustment amount is determined on the pressure difference-adjustment amount curve, and the target slag cooler adjustment amount is used to control the discharge of the bottom slag of the slag cooler. Through the technical solution in this application, the pressure difference of the material layer is used as the control parameter of the discharge of the bottom slag of the slag cooler, which solves the problem of poor accuracy of the control of the bottom slag discharge of the existing slag cooler and reduces the possibility of untimely slag discharge.

[0072] The steps in this application can be adjusted in order, combined, and deleted according to actual needs.

[0073] The units in the device of the present application can be combined, divided and deleted according to actual needs.

[0074] Although the present application is disclosed in detail with reference to the accompanying drawings, it should be understood that these descriptions are merely exemplary and are not intended to limit the application of the present application. The scope of protection of the present application is defined by the appended claims and may include various modifications, alterations and equivalents made to the invention without departing from the scope and spirit of the present application.

Claims

1. A quantitative control method for a slag cooler, characterized in that: The method comprises: Step 1, obtaining the production data of the boiler at each sampling time point and the corresponding material layer pressure difference, when it is determined that the maximum difference of each of the production data in a sampling time period is less than or equal to the first stable threshold, each of the production data in a sampling time period is recorded as a group of stable data, wherein the production data at least includes the adjustment amount of the slag cooler, the adjustment amount of the coal feeder and the adjustment amount of the primary fan; Step 2, calculating the sampling average value of the slag cooler adjustment amount in each group of the stable data and the material layer pressure difference change rate of the material layer pressure difference in the corresponding sampling time period, wherein calculating the material layer pressure difference change rate of the material layer pressure difference in the corresponding sampling time period specifically includes: Selecting the pressure difference start data and the pressure difference end data corresponding to the pressure difference of the material layer within the preset time window at the beginning and the end of the sampling time period respectively; calculating the first average value of the pressure difference start data and the second average value of the pressure difference end data respectively; calculating the change rate of the pressure difference of the material layer according to the difference between the first average value and the second average value; Step 3, respectively calculating the maximum difference of the coal feeder adjustment amount of the coal feeder and the maximum difference of the fan adjustment amount of the primary fan in two adjacent groups of stable data, when it is determined that the maximum difference of the coal feeder and the maximum difference of the fan are less than or equal to the second stable threshold, calculating the difference of the corresponding sampling average values ​​of the two adjacent groups of stable data, recording it as the change of the slag cooler adjustment amount, and calculating the corresponding change of the material layer pressure difference change rate; Step 4, according to the change amount of the slag cooler adjustment amount and the change amount of the pressure difference change rate of the material layer, grouping and aggregating data according to the change amount of the slag cooler adjustment amount, and generating a pressure difference-adjustment amount curve by fitting; Step 5, according to the given target value of the rate of change of the pressure difference of the material layer, determine the target slag cooler adjustment amount on the pressure difference-adjustment amount curve, and the target slag cooler adjustment amount is used to control the bottom slag discharge of the slag cooler.

2. The quantitative control method for a slag cooler according to claim 1, characterized in that: The step 1 also includes: determining whether the maximum difference of each of the production data within a sampling time period is less than or equal to a first stable threshold, and the process specifically includes: Selecting the maximum value and the minimum value of each of the production data within the sampling time period respectively, recording the difference between the maximum value and the minimum value as the maximum difference, and calculating the average value of each of the production data; Calculate the product of the average value and the fluctuation ratio, and record it as the first stable threshold; Determine whether the maximum difference is less than or equal to the first stable threshold value. If so, record each production data within a sampling time period as a group of stable data. If not, delete each production data within the sampling time period.

3. The quantitative control method for a slag cooler according to claim 1, characterized in that: The second stable threshold includes a coal feeder stable threshold and a fan stable threshold, and step 3 specifically includes: Select the maximum and minimum values ​​of the coal feeder adjustment amount and the primary fan adjustment amount in two adjacent groups of stable data respectively, and calculate the difference between the maximum and minimum values ​​of the coal feeder adjustment amount, which is recorded as the coal feeder maximum difference, and calculate the difference between the maximum and minimum values ​​of the primary fan adjustment amount, which is recorded as the fan maximum difference; Calculate the average value of the coal feeder adjustment amount and the average value of the primary fan adjustment amount, and record the product of the average value of the coal feeder adjustment amount and the fluctuation ratio as the coal feeder stable threshold, and record the product of the average value of the primary fan adjustment amount and the fluctuation ratio as the fan stable threshold; Determine whether the maximum difference of the coal machine is less than or equal to the stable threshold of the coal machine, and whether the maximum difference of the fan is less than or equal to the stable threshold of the fan. If so, calculate the difference between the corresponding sampling average values ​​of the two adjacent sets of stable data, record it as the change in the adjustment amount of the slag cooler, and calculate the corresponding change in the rate of change of the material layer pressure difference. If not, delete the two adjacent sets of stable data.

4. The quantitative control method for a slag cooler according to claim 1 or 3, characterized in that: The step 3 also includes: when it is determined that the change in the slag cooler adjustment amount or the change in the material layer pressure difference change rate is less than a preset threshold, deleting the change in the slag cooler adjustment amount and the corresponding change in the material layer pressure difference change rate.

5. The quantitative control method for a slag cooler according to claim 1, characterized in that: The step 4 specifically includes: Step 41, sorting the variation of the adjustment amount of the slag cooler, grouping and aggregating the sorted variation of the adjustment amount of the slag cooler according to a preset numerical interval, and recording it as a fitting data group of the adjustment amount; Step 42, calculating the median of the change amount of the pressure difference change rate of the material layer corresponding to any group of the adjustment amount fitting data group, recorded as the pressure difference fitting data, and calculating the median of the change amount of the slag cooler adjustment amount corresponding to the adjustment amount fitting data group, recorded as the adjustment amount fitting data; Step 43: Generate the pressure difference-adjustment amount curve by fitting according to the adjustment amount fitting data and the pressure difference fitting data.

6. The quantitative control method for a slag cooler according to claim 5, characterized in that: The step 41 also includes: Delete the adjustment amount fitting data group whose number of data is less than the number threshold in the adjustment amount fitting data group.

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