Intelligent control method and device for sintering process considering influence of operation performance

Abstract

The application provides a sintering process intelligent control method and equipment considering the influence of operation performance, first, a time sequence data of sintering end time in a period of time is analyzed to obtain an operation performance grade; taking the sintering end stability at an expected position as a control target, taking a pallet speed adjustment amount as a control output, a sintering end intelligent controller is designed aiming at different deviation ranges of the sintering end; considering the influence of the operation performance, an operation performance grade adjustment factor is designed, which is taken as a decision variable of the intelligent controller output, the output of the sintering end intelligent controller is adjusted, and the stable control of the sintering process is realized. The application has the beneficial effects that: the stable control of the sintering end is effectively realized, the influence of the operation performance is considered, the improvement of the operation performance has an important role, and the application has important application value for improving the stability of the sintering process.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of iron ore sintering production process modeling and control, and particularly relates to a sintering process intelligent control method and equipment considering the influence of operation performance. BACKGROUND

[0002] Iron ore sintering is an important raw material preparation process in steel smelting, and sinter is the main raw material for blast furnace ironmaking. Sintering is a series of complex physical and chemical reactions, and through a series of processes, a mixture of iron ore, limestone, coke and the like is made into sinter with strong reducibility, suitable composition, good permeability, reasonable particle size and suitable mechanical strength. Sintering production is the second energy-consuming link in the steel industry after blast furnace ironmaking. Energy consumption in sintering production mainly reflects in coke, coal gas and electric energy, of which coke powder accounts for about 80%. Therefore, ensuring the stability of the sintering process can greatly reduce the sintering energy consumption, and thus realize green manufacturing.

[0003] Sintering thermal state is a comprehensive reflection of raw material parameters, equipment parameters and operation parameters, and directly reflects the combustion condition of the sintering process. Sintering endpoint is the most important sintering thermal state parameter, and the sintering endpoint is the position where the mixture is first burned through on the car. If the sintering endpoint is advanced, the effective area of the sintering machine is not fully utilized, and the utilization coefficient is reduced; if the sintering endpoint is lagged, the sintering material layer is not burned through when unloading, the amount of returned ore increases, and the yield of finished products decreases. Therefore, stabilizing the sintering endpoint is of great significance to the stability of the entire sintering process. SUMMARY

[0004] In order to solve the above problems, the present application provides a sintering process intelligent control method and equipment considering the influence of operation performance, and a sintering process intelligent control method considering the influence of operation performance, mainly comprising:

[0005] S1: analyzing a time series data of sintering endpoint in a period to obtain an operation performance level;

[0006] S2: taking the stabilization of the sintering endpoint at the expected position as the control target, taking the trolley speed adjustment amount as the control output, and designing a sintering endpoint intelligent controller for different deviation ranges of the sintering endpoint;

[0007] S3: considering the influence of operation performance, designing an operation performance level adjustment factor, taking the adjustment factor as a decision variable of the intelligent controller output, adjusting the output of the sintering endpoint intelligent controller, and realizing the stable control of the sintering process.

[0008] Further, step S1 specifically comprises:

[0009] (2-1) collecting a time series data of sintering endpoint in a period, and obtaining time series data T={t1, t2,..., tN} according to the set sampling interval, wherein N is the number of sampling points, and tN is the latest sampling point;n} is the length of the time series; the process capability index of the sintering end point time series is calculated

[0010]

[0011] wherein U SL and L SL are the upper and lower specification limits of the sintering end point, is the desired average value of the sintering end point, is the estimated average value of the sintering end point time series, is the standard deviation of the sintering end point time series;

[0012] (2-2) The running performance level is divided according to the numerical value of the process capability index, if the running performance level is "excellent"; if the running performance level is "good"; if the running performance level is "general"; if the running performance level is "poor"; if the running performance level is "very poor".

[0013] Further, step S2 specifically comprises:

[0014] (3-1) Taking the sintering end point to be stabilized at the desired position as the control target, and taking the trolley speed adjustment amount Δv0 as the control output, the current sintering end point deviation e and the deviation change rate k e are taken as inputs;

[0015] (3-2) When the current sintering end point deviation e ∈ [-0.5, 0.5] is in the bellows, a sintering end point fuzzy controller is used for control, wherein the fuzzy controller is set to have the basic domain of the sintering end point deviation e ∈ [-0.5, 0.5], the basic domain of the deviation change rate k e ∈ [-0.2, 0.2], and the basic domain of the trolley speed adjustment amount Δv0 ∈ [-0.05, 0.05] m / min; the total number of fuzzy subsets selected for the three variables is five: {negative large, negative small, zero, positive small, positive large}; the sintering end point deviation and its deviation change rate and the trolley speed control amount all adopt a triangular membership function form; at this time, the trolley speed adjustment amount is expressed as Δv0 = f FUZZY (e, k e ), wherein f FUZZY (·) represents the fuzzy controller;

[0016] (3-3) When the current sintering end point deviation When the wind box is in the sintering terminal, the sintering terminal expert controller is used for control, e is the deviation of the current sintering terminal relative to the expected position, Δv0 is the trolley speed adjustment amount, and there are four rules in the expert knowledge base as follows:

[0017] Rule 1: if e <-1.2, then Δv0=0.1 m / min;

[0018] Rule 2: if -1.0<=e<-0.5, then Δv0=0.075 m / min;

[0019] Rule 3: if 0.5

[0020] Rule 4: if e>1.0, then Δv0=-0.1 m / min.

[0021] Further, the step S3 specifically comprises:

[0022] (4-1) The adjustment factor α is designed according to the running performance level, and the process capability index is combined The adjustment factor α can be designed as,

[0023]

[0024] (4-2) The adjustment factor α is taken as the decision variable of the output of the intelligent controller, and the output of the sintering terminal intelligent controller is adjusted, and a multiplier is used for adjustment, that is, the output of the sintering process intelligent controller considering the influence of the running performance is the final adjustment amount Δv of the trolley speed, wherein Δv is the final adjustment amount of the trolley speed.

[0025] A storage device, which stores instructions and data for realizing a sintering process intelligent control method considering the influence of running performance.

[0026] A sintering process intelligent control device considering the influence of running performance, comprising: a processor and the storage device; the processor loads and executes the instructions and data in the storage device to realize a sintering process intelligent control method considering the influence of running performance.

[0027] The beneficial effects brought by the technical scheme provided by the present application are: the operation performance of the sintering process is related to the production efficiency and energy utilization of the sintering process. The stability of the sintering endpoint directly affects the economic benefits of the sintering enterprise. Therefore, the present application considers the influence of the operation performance, firstly, analyzes the time series data of the sintering endpoint for a period of time to obtain the operation performance grade, and uses the process capability index to describe the operation performance of the sintering process, then, takes the sintering endpoint stability at the expected position as the control target, takes the trolley speed adjustment amount as the control output, and designs the sintering endpoint intelligent controller according to the different deviation ranges of the sintering endpoint; finally, the operation performance grade adjustment factor is designed, the evaluation result of the operation performance is used to guide the control of the sintering endpoint, the adjustment of the sintering endpoint controller is realized, and the influence of the operation performance on the improvement of the operation performance plays an important role, which has important economic value and application value for improving the stability of the sintering process, and brings win-win of economic benefits and production efficiency to the sintering enterprise. BRIEF DESCRIPTION OF DRAWINGS

[0028] The present application will be further described below in combination with the drawings and examples, wherein:

[0029] Figure 1 It is a flow chart of the intelligent control method of the sintering process considering the influence of the operation performance.

[0030] Figure 2 It is a structure diagram of the intelligent control of the sintering process considering the influence of the operation performance in the example.

[0031] Figure 3 It is a sintering endpoint control effect and trolley speed change diagram in the example.

[0032] Figure 4 It is a sintering endpoint control effect and trolley speed change diagram of the manual control method in the example.

[0033] Figure 5 It is a schematic diagram of the working of the hardware device in the example. DETAILED DESCRIPTION

[0034] In order to have a clearer understanding of the technical features, objects and effects of the present application, the specific implementation modes of the present application will be described in detail with reference to the drawings.

[0035] The running performance is the running state of the production process under certain power of the production equipment, which can measure the good or bad degree of the production state. The running performance of the sintering process relates to the production efficiency and energy utilization of the sintering process. The running performance can provide powerful guidance for the operators. The stability of the sintering endpoint directly affects the economic benefits of the sintering enterprise. Guiding the control of the sintering endpoint by the evaluation results of the running performance will bring a win-win of economic benefits and production efficiency to the sintering enterprise. Therefore, the application provides a sintering process intelligent control method and equipment considering the influence of the running performance, and the running performance level is taken as the reference of the controller to realize the stable control of the sintering endpoint.

[0036] Please refer to Figure 1 , Figure 1 is a flow chart of a sintering process intelligent control method considering the influence of the running performance in the application, including:

[0037] S1: analyze the sintering endpoint time sequence data in a period of time to obtain the running performance level;

[0038] (2-1) collect the sintering endpoint time sequence data in a period of time, set the sampling interval of the data as 30 seconds to obtain the time sequence data T={t1, t2,..., tn}, n is the length of the time sequence; calculate the process capability index of the sintering endpoint time sequence n

[0039]

[0040] , U SL and L SL are the upper limit and lower limit of the sintering endpoint, is the expected average value of the sintering endpoint, is the estimated average value of the sintering endpoint time sequence, is the standard deviation of the sintering endpoint time sequence;

[0041] (2-2) divide the running performance level according to the numerical size of the process capability index, if the running performance level is “excellent”; if the running performance level is “good”; if the running performance level is “general”; if the running performance level is “poor”; if the running performance level is “very poor”.

[0042] S2: take the stability of the sintering endpoint at the expected position as the control target, take the trolley speed adjustment amount as the control output, and design the sintering endpoint intelligent controller for different deviation ranges of the sintering endpoint;

[0043] ​(3-1) Taking the sintering endpoint stabilizing at the desired position as the control objective, and the trolley speed adjustment Δv0 as the control output, the deviation e of the current sintering endpoint relative to the desired position and the rate of change of deviation k are... e As input;

[0044] (3-2) When the deviation of the current sintering endpoint from the desired position is e∈[-0.5,0.5] in the bellows, a fuzzy controller for the sintering endpoint is used for control. The fuzzy controller is set to the basic universe of discourse e∈[-0.5,0.5] of the sintering endpoint deviation, and the basic universe of discourse k of the deviation change rate is... e ∈[-0.2,0.2], the basic universe of discourse for the trolley speed adjustment Δv0∈[-0.05,0.05]m / min; the total number of fuzzy subsets selected for the three variables is five: {negative large, negative small, zero, positive small, positive large}; the deviation at the sintering endpoint and its rate of change, as well as the trolley speed control, are all expressed in the form of triangular membership functions; at this time, the trolley speed adjustment is expressed as Δv0=f FUZZY (e,k e ), where f FUZZY (·) indicates a fuzzy controller;

[0045] (3-3) Deviation of the current sintering endpoint from the desired position During bellows operation, a sintering endpoint expert controller is used for control. Let e ​​be the deviation of the current sintering endpoint from the desired position, and Δv0 be the trolley speed adjustment. The expert knowledge base contains the following four rules:

[0046] Rule 1: If e < -1.2, then Δv0 = 0.1 m / min;

[0047] Rule 2: If -1.0 ≤ e < -0.5, then Δv0 = 0.075 m / min;

[0048] Rule 3: If 0.5 < e ≤ 1.0, then Δv0 = -0.075 m / min;

[0049] Rule 4: If e > 1.0, then Δv0 = -0.1 m / min.

[0050] S3: Considering the impact on operating performance, an operating performance level adjustment factor is designed. The adjustment factor is used as the decision variable of the intelligent controller output to adjust the output of the intelligent controller at the sintering endpoint, thereby achieving stable control of the sintering process.

[0051] (4-1) According to the operation performance level design adjustment factor a, when the operation performance level is "excellent", the intelligent controller at this time should maintain the existing situation, then the output of the controller should be 0, set the value of the adjustment factor a to 0; when the operation performance level is "general", the intelligent controller should change the current operation, the controller output should meet the basic requirements, set the adjustment factor a to 1; when the operation performance level is "very poor", the intelligent controller should try to change the current operation, the controller output should be maximum, set the adjustment factor a to 2; under other operation performance levels, the adjustment factor can be interpolated; therefore, combined with the process capability index The adjustment factor a can be designed as

[0052]

[0053] (4-2) The adjustment factor a is used as the decision variable of the intelligent controller output, and the output of the sintering terminal intelligent controller is adjusted. The multiplier is used for adjustment, that is, the output of the sintering process intelligent controller considering the operation performance influence is the final adjustment amount of the trolley speed Δv = aΔv0, wherein Δv is the final adjustment amount of the trolley speed.

[0054] Specific embodiments are:

[0055] (1) Collecting sintering production historical data to obtain original sample data

[0056] The sintering production historical data is saved in the form of daily report in the local database of the operation room industrial computer. According to the data of the daily report, ten days of historical data are selected, and 30 seconds are taken as the sampling period to form the original sample data.

[0057] (2) Operation performance division

[0058] The sintering terminal time sequence data of 10 minutes is collected, and the upper limit and lower limit of the sintering terminal specification are set as U SL = 23 and L SL = 22, and the expected average value of the sintering terminal is The process capability index of the sintering terminal time sequence is calculated, and the operation performance is divided to obtain the operation performance level.

[0059] (3) Construction of sintering terminal intelligent controller

[0060] The sintering terminal intelligent controller is designed for different deviation ranges of the sintering terminal, with the sintering terminal stabilized at the expected position as the control target and the trolley speed adjustment amount as the control output.

[0061] (4) Construction of the multiplier considering the operation performance influence

[0062] Considering the running performance influence, a running performance level adjustment factor is designed to obtain a final adjustment amount of the trolley speed of the controller output.

[0063] (5) Experimental design

[0064] The established running performance division module, the sintering endpoint intelligent controller and the multiplier considering the running performance influence are integrated to form a complete control strategy, and the control structure is as shown in Figure 2 The control interval is set to 10 minutes, and a 500-minute experiment is constructed, and the experimental results of the present application are as shown in Figure 3 The control effect of manual control is as shown in Figure 4 It can be seen from Figures 3-4 that the intelligent controller realizes that the sintering endpoint fluctuates within the expected position of 0.5 wind boxes, and manual control still has a certain gap from the control target, and the present application greatly improves the control precision of the sintering process.

[0065] The comparison of the running performance after control is as shown in the following table, and it can be seen from the table that the running performance level of manual control is "very poor" and "poor". The running performance level of the method of the present application is "excellent" and "good". The experimental results fully prove the effectiveness of the method of the present application.

[0066]

[0067] The results of the present embodiment show that the present application can effectively realize the stable control of the sintering endpoint, and the improvement of the running performance considering the influence of the running performance plays an important role, and has application value for improving the stability of the sintering process.

[0068] Please refer to Figure 5 , Figure 5 is a hardware device working schematic diagram of the embodiment of the present application, and the hardware device specifically comprises: a sintering process intelligent control device 401 considering the running performance influence, a processor 402 and a storage device 403.

[0069] The sintering process intelligent control device 401 considering the running performance influence: the sintering process intelligent control device 401 considering the running performance influence realizes the sintering process intelligent control method considering the running performance influence.

[0070] The processor 402: the processor 402 loads and executes the instructions and data in the storage device 403 to realize the sintering process intelligent control method considering the running performance influence.

[0071] The storage device 403: the storage device 403 stores instructions and data; and the storage device 403 is used to realize the sintering process intelligent control method considering the running performance influence.

[0072] The beneficial effects of the present application are: the operation performance of the sintering process is related to the production efficiency and energy utilization of the sintering process. The stability of the sintering endpoint directly affects the economic benefits of the sintering enterprise. Therefore, the present application considers the influence of the operation performance, firstly, the operation performance grade is obtained by analyzing the time series data of the sintering endpoint for a period of time, the process capability index is used to describe the operation performance of the sintering process, then, the sintering endpoint intelligent controller is designed for different deviation ranges of the sintering endpoint with the sintering endpoint stable at the expected position as the control target and the trolley speed adjustment amount as the control output; finally, the operation performance grade adjustment factor is designed, the evaluation result of the operation performance is used to guide the control of the sintering endpoint, the adjustment of the sintering endpoint controller is realized, and the improvement of the operation performance considering the influence of the operation performance plays an important role, which has important economic value and application value for improving the stability of the sintering process, and brings win-win of economic benefits and production efficiency to the sintering enterprise.

[0073] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A smart control method for a sintering process considering the impact on operational performance, characterized in that: include: S1: Analyze the time series data of the sintering endpoint over a period of time to obtain the operating performance level; Step S1 specifically includes: (2-1) Collect time series data of the sintering endpoint over a period of time, and obtain time series data according to the set sampling interval. Where n is the length of the time series; calculate the process capability index of the sintering endpoint time series. , USL and LSL are the upper and lower limits of the sintering endpoint specifications. It is the average value of the expected sintering endpoint. It is the estimated average value of the sintering endpoint time series. It is the standard deviation of the sintering endpoint time series; (2-2) Classify operating performance levels based on the magnitude of the process capability index. If If so, the performance level is "Excellent"; if If so, the performance level is "good"; if If so, the performance level is "normal"; if If so, the performance level is "poor"; if If so, the performance level is "very poor"; S2: With the goal of stabilizing the sintering endpoint at the desired position as the control objective and the trolley speed adjustment as the control output, an intelligent controller for the sintering endpoint is designed for different deviation ranges of the sintering endpoint. Step S2 specifically includes: (3-1) The control objective is to stabilize the sintering endpoint at the desired position, and the adjustment amount is based on the trolley speed. To control the output, the deviation e of the current sintering endpoint relative to the desired position and the rate of change of the deviation ke are used as inputs; (3-2) Deviation of the current sintering endpoint from the desired position During the bellows operation, a fuzzy controller for the sintering endpoint is used for control, wherein the fuzzy controller is set as the fundamental universe of discourse for the sintering endpoint deviation. The fundamental domain of the rate of change of deviation The basic domain of trolley speed adjustment m / min; the total number of fuzzy subsets selected for the three variables is five: {negative large, negative small, zero, positive small, positive large}; the deviation at the sintering endpoint, its rate of change, and the trolley speed control are all expressed in the form of triangular membership functions; at this time, the trolley speed adjustment is expressed as ,in This represents a fuzzy controller; (3-3) Deviation of the current sintering endpoint from the desired position During the bellows operation, a sintering endpoint expert controller is used for control. This represents the deviation of the current sintering endpoint from the desired position. Regarding the adjustment amount for the trolley speed, there are four rules from the expert knowledge base as follows: Rule 1: If ,So =0.1 m / min; Rule 2: If ,So =0.075 m / min; Rule 3: If ,So =-0.075 m / min; Rule 4: If ,So =-0.1 m / min; S3: Considering the impact on operating performance, an operating performance level adjustment factor is designed. The adjustment factor is used as the decision variable of the intelligent controller output to adjust the output of the intelligent controller at the sintering endpoint, thereby achieving stable control of the sintering process. Step S3 specifically includes: (4-1) Design the adjustment factor α based on the operating performance level, combined with the process capability index. The adjustment factor α can be designed as follows: (4-2) The adjustment factor α is used as the decision variable of the intelligent controller output to adjust the output of the intelligent controller at the sintering endpoint. The adjustment is performed by a multiplier. That is, the output of the intelligent controller in the sintering process considering the impact of operating performance is the final adjustment amount of the trolley speed. ,in, The final adjustment amount for the trolley speed.

2. A storage device, characterized in that: The storage device stores instructions and data to implement the intelligent control method for the sintering process that takes into account the impact on operating performance as described in claim 1.

3. A smart control device for the sintering process that takes into account the impact on operational performance, characterized in that: include: A processor and a storage device; the processor loads and executes instructions and data in the storage device to implement the intelligent control method for the sintering process considering the impact on operating performance as described in claim 1.

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