Control system for blast furnace top gas recovery

Abstract

The invention discloses a control system for blast furnace top gas recovery. The control system comprises a period classification module, a threshold parameter acquisition module, a threshold parameter analysis module, a prediction parameter acquisition module and a prediction parameter analysis module. The method comprises the following steps: analyzing pressure data of monitoring points in a plurality of monitoring periods during gas recovery, and classifying the monitoring periods; calculating a threshold coefficient and an accident pressure threshold of the same type of cycle after classification; whether the accident pressure threshold needs to be adjusted and optimized or not is judged, and if yes, threshold optimization is carried out; analyzing the real-time change rate of the pressure value of the monitoring point and the historical pressure change curve of the same type of historical period to obtain a deviation degree value; comparing the deviation degree value with a deviation degree threshold value to generate a prediction signal; a prediction time value is obtained and analyzed, and whether a potential accident risk exists or not is judged; the flexibility of setting the pressure threshold is improved, and the method is more suitable for complex and changeable operation states in the blast furnace production process.

Description

Technical Field

[0001] The present invention belongs to the technical field of blast furnace gas, and specifically relates to a control system for blast furnace top gas recovery. Background Art

[0002] Blast furnace gas recovery is a crucial link in the blast furnace production process. It is related to the effective collection and utilization of the gas generated by the blast furnace, which can not only improve energy efficiency but also reduce environmental pollution. Its recovery process generally includes steps such as gas cooling, rough purification and separation, gas recovery, gas purification, and storage and transportation. During the blast furnace top gas recovery process, although the pressure sensor can monitor the pressure change of the gas pipeline in real time, there are still some deficiencies in the current pressure monitoring and response measures, including the lack of flexibility in setting the pressure threshold. The blast furnace production process is complex and changeable. Different production stages, raw material characteristics, and equipment operating states will cause changes in the gas generation volume and pressure fluctuation characteristics. The fixed pressure threshold cannot adapt to these dynamic changes, which may lead to the situation that under certain special working conditions, the pressure exceeds the safety range but no effective response is triggered in time.

[0003] Analyze different production stages, raw material characteristics, and equipment operating states, analyze the periodic pressure changes generated by them, and then classify different production stages, raw material characteristics, and equipment operating states. According to different classifications, set different thresholds, which can more accurately analyze whether the pressure change is in a normal state and timely and accurately detect system anomalies. And based on the analysis of historical cycle data, analyze the real-time pressure change, timely discover potential risks in the system and make predictions. Summary of the Invention

[0004] The purpose of the present invention is to provide a control system for blast furnace top gas recovery to solve at least one of the above-mentioned prior art problems.

[0005] In a first aspect, the present invention provides a control system for blast furnace top gas recovery, specifically including:

[0006] Period classification module: Collect a large amount of pressure data when the monitored point recovers gas for a long time, and classify the pressure data with similar cycles.

[0007] Threshold parameter acquisition module: Calculate and process the pressure data during the normal operation and accident cycles of the same type of cycle to obtain the threshold coefficient and accident pressure threshold.

[0008] Threshold parameter analysis module: Analyze the accident pressure threshold, adjust and optimize the accident pressure threshold, and determine the final reasonable accident pressure threshold.

[0009] Prediction parameter acquisition module: By analyzing the data of the real-time change rate of the pressure value at the monitoring point and the historical pressure change curve of the same type of historical cycle, the deviation degree value is obtained;

[0010] Prediction parameter analysis module: Compare the deviation degree value with the deviation degree threshold to generate a prediction signal; Obtain the prediction time value, analyze it, judge whether there is a potential accident risk, and perform optimization and adjustment.

[0011] Advantages of the present invention:

[0012] 1. The blast furnace production process is complex and changeable. Different production stages, raw material characteristics, and equipment operating states will cause changes in the gas production volume and pressure fluctuation characteristics; when analyzing different pressure fluctuation characteristics, fixed thresholds may not accurately reflect the abnormal state of the system pressure; the present invention classifies cycles according to different pressure fluctuation characteristics, which is convenient for analyzing different pressure fluctuation characteristics, more accurately judging whether there is a fault in the system, and facilitating the analysis of potential faults, and can reduce the system downtime and maintenance times.

[0013] 2. By processing the pressure data of the normal operation cycle and the accident cycle, the calculated threshold can more accurately reflect the difference in pressure characteristics of the system in the normal and accident states, providing a reliable basis for subsequent accident early warning; the threshold parameter analysis module checks and adjusts the accident pressure threshold, and performs dynamic processing according to the size relationship between the accident pressure threshold and the accident pressure value; when the threshold is unreasonable, through further calculation and analysis, the threshold is optimized to ensure the rationality and applicability of the threshold; by calculating the remaining reaction time and comparing it with the reaction consumption time, the accident pressure threshold is reasonably determined to ensure that there is enough time to issue an alarm before the accident occurs, providing necessary reaction time for the operator.

[0014] 3. By comparing the real-time pressure change curve with the historical pressure change curve of the same type of historical cycle, the most similar reference pressure change curve is selected, improving the accuracy and reliability of the analysis; comparing the deviation degree value with the deviation degree threshold can quickly and accurately judge whether the current system operating state is normal or there may be an accident risk; generating a normal signal or a prediction signal, avoiding unnecessary over-analysis and misjudgment, improving the operating efficiency of the system, and through real-time monitoring and accurate analysis of the pressure change, timely discovering potential accident risks and issuing early warnings, can effectively avoid the occurrence of accidents or reduce the severity of accidents, improving the safety and stability of the blast furnace top gas recovery system. Description of the drawings

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a schematic diagram of the modules of a control system for blast furnace top gas recovery provided by the present invention;

[0017] Figure 2 It is a flowchart for classifying the monitoring period by a control system for blast furnace top gas recovery provided by the present invention;

[0018] Figure 3 It is a flowchart for optimizing the accident pressure threshold by a control system for blast furnace top gas recovery provided by the present invention;

[0019] Figure 4 It is a flowchart for a control system for blast furnace top gas recovery provided by the present invention to obtain the predicted time value. Detailed implementation manners

[0020] In order to enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment 1

[0022] A control system for blast furnace top gas recovery provided by an embodiment of the present invention is as follows:

[0023] S1: Gas collection and preliminary cleaning treatment;

[0024] During the iron-making process of the blast furnace, a large amount of gas is generated at the top of the furnace; this gas is led out from the top of the blast furnace through a gas pipeline and enters the recovery control system;

[0025] The gas led out from the top of the blast furnace contains a large amount of large particle impurities such as dust and particles; the gas first enters a gravity dust collector, and the large particle impurities are naturally settled by gravity, thereby initially removing most of the large particle impurities; then the gas passes through a filter cloth bag to further remove the fine dust particles in the gas, reducing the dust content of the gas to a level that meets the requirements of subsequent treatment;

[0026] S2: Gas transportation;

[0027] The purified and cooled coal gas is sent to the gas holder or the user end through the gas transmission pipeline;

[0028] S3: Coal gas pressurization, pressure monitoring and regulation;

[0029] During the transportation process, the coal gas compressor pressurizes the coal gas to overcome the pipeline resistance and ensure that the coal gas can be smoothly transported to the destination;

[0030] The pressure change in the coal gas pipeline is monitored in real time to ensure that the pressure is within the safe range; once the pressure exceeds the preset threshold, it is immediately fed back to the central control module so as to take corresponding measures, such as adjusting the valve opening, to prevent the pipeline from being in danger due to excessive pressure;

[0031] S4: Coal gas recovery and storage;

[0032] The coal gas is finally transported to the gas holder for storage in order to provide a stable coal gas supply to users when needed;

[0033] The gas holder is equipped with devices such as liquid level sensors and pressure sensors to monitor the liquid level and pressure of the gas holder in real time; the control system controls the input and output of the coal gas according to these parameters to ensure the safe and stable operation of the gas holder.

[0034] Embodiment 2

[0035] During the process of recovering the blast furnace top gas, although the pressure sensor can monitor the pressure change of the coal gas pipeline in real time, there are still some deficiencies in the current pressure monitoring and response measures, including the lack of flexibility in setting the pressure threshold; the blast furnace production process is complex and changeable, and different production stages, raw material characteristics and equipment operation states will all cause changes in the gas production volume and pressure fluctuation characteristics of the coal gas; the fixed pressure threshold cannot adapt to these dynamic changes, which may lead to the pressure exceeding the safe range in some special working conditions but not triggering effective responses in time; in view of the above problems, the present invention designs a control system for recovering the blast furnace top gas;

[0036] As Figure 1 - Figure 2 shown, a control system for recovering the blast furnace top gas provided by an embodiment of the present invention specifically includes the following modules:

[0037] Period classification module: Collect a large amount of pressure data when recovering the coal gas at the monitoring point for a long time, and classify the pressure data with similar periods;

[0038] Collect and record the pressure data when recovering the coal gas at the monitoring point for multiple monitoring periods through the pressure sensor, including but not limited to the pressure data during the normal operation of the system and the pressure data when the system fails due to abnormal pressure;

[0039] Use the K-Means algorithm to cluster the pressure data during the recovery of coal gas in multiple monitoring cycles. For each cycle, calculate the relevant pressure features as input features. Specifically:

[0040] Mark n time points within the cycle and the corresponding pressure values at each time point.

[0041] Calculate the average pressure within the cycle Obtain the maximum and minimum pressure values within the cycle, denoted as Xmax and Xmin respectively; calculate the pressure standard deviation b within the cycle; further obtain the feature vector of the cycle

[0042] Represent the feature vectors of multiple cycles using an i×j matrix; where, i represents the number of cycles, and Xi represents the feature vector corresponding to the i-th cycle; j represents the number of pressure features extracted for each cycle. In the embodiment, the extracted pressure features are the average pressure within the cycle The maximum pressure value Xmax and the minimum pressure value Xmin within the cycle, and the pressure standard deviation b within the cycle; so j = 4;

[0043] Perform Z-score standardization on the feature vector data; the standardized feature vector is obtained by converting each eigenvalue X in the original feature vector ij According to the formula for conversion, where c j is the mean of the j-th feature, and b j is the standard deviation of the j-th feature; after the standardization process, all feature vectors form a standardized feature matrix;

[0044] Randomly select K feature vectors from the standardized feature matrix as the initial clustering centers C p , where C p = C1, C2,..., Ck; where k is the pre-set number of clustering categories;

[0045] Calculate the distance between the feature vector Xi of the i-th cycle and each initial clustering center C p ;

[0046]

[0047] where, d is the dimension of the feature vector. In this embodiment, d = 4, that is, the average pressure within the cycle The maximum pressure value Xmax and the minimum pressure value Xmin within the cycle, and the pressure standard deviation b within the cycle, these four dimensions;

[0048] Assign the data point X i to the category of the nearest clustering center through the above formula;

[0049] Recalculate the mean of the data points in each cluster and use it as the new cluster center. For the v-th cluster Sv, the calculation process of the new cluster center Cv is as follows:

[0050]

[0051] where |S v | is the number of data points in cluster S v ;

[0052] Continuously repeat the process of data point assignment and cluster center update until the cluster centers no longer change significantly;

[0053] Analyze the results after clustering, count the maximum pressure of the periodic data in each cluster, and check whether the maximum pressure of the normal operation period in the same class is significantly less than the minimum pressure of the period that may contain accident pressure;

[0054] If it is satisfied, the classification of the period is completed;

[0055] If it is not satisfied, adjust the number of clusters and re-cluster;

[0056] The beneficial effects of the embodiments of the present invention are as follows: The blast furnace production process is complex and changeable. Different production stages, raw material characteristics, and equipment operating states will cause changes in the gas production volume and pressure fluctuation characteristics; when analyzing different pressure fluctuation characteristics, fixed thresholds may not accurately reflect the abnormal state of the system pressure; the present invention classifies the periods according to different pressure fluctuation characteristics, which is convenient for analyzing different pressure fluctuation characteristics, more accurately judging whether there is a fault in the system, and facilitating the analysis of potential faults, and can reduce the system downtime and maintenance times.

[0057] Embodiment III

[0058] As Figure 1 - Figure 3 shown, a control system for blast furnace top gas recovery provided by an embodiment of the present invention specifically includes the following modules:

[0059] Threshold parameter acquisition module: Calculate and process the pressure data during the normal operation and accident-occurring periods in the same type of period to obtain the threshold coefficient and the accident pressure threshold;

[0060] Analyze any one of different types of periods. The total number of periods of this type is m, which are Q1, Q2,..., Qm respectively; among them, the number of accident-occurring periods is n, which are recorded as Q1, Q2,..., Qn respectively; the number of normal operation periods is m - n, which are recorded as Q(n + 1), Q(n + 2),..., Qm respectively;

[0061] Sum up all the pressure values within the normal operating cycles Q(n + 1), Q(n + 2),..., Qm and take the average. Denote the obtained average pressure value as the pressure standard value;

[0062] Obtain the maximum value of all the pressure values within the normal operating cycles Q(n + 1), Q(n + 2),..., Qm, and denote it as MA;

[0063] Calculate the accident pressure threshold SB using the formula SB = a1 * MA; where a1 is the threshold coefficient;

[0064] The way to obtain the threshold coefficient a1 is as follows:

[0065] Denote the minimum pressure value at the time of accident in the cycle where the accident occurs as the accident pressure value;

[0066] Perform a difference operation on the accident pressure value and the pressure standard value to obtain the accident pressure difference; perform a ratio operation on the accident pressure difference and the pressure standard value to obtain the accident pressure difference ratio, denoted as SA;

[0067] Perform a ratio operation on the number of cycles where the accident occurs and the total number of this type of cycle to obtain the accident cycle ratio, denoted as SD;

[0068] Perform data calculation on the accident pressure difference ratio SA and the accident cycle ratio SD to obtain the threshold coefficient a1 using the formula

[0069] Accident pressure threshold analysis module: Analyze the accident pressure threshold, adjust and optimize the accident pressure threshold, and determine the final reasonable accident pressure threshold;

[0070] Check the accident pressure threshold SB. If the accident pressure threshold SB is less than the accident pressure value, do not make any adjustment to the accident pressure threshold SB;

[0071] If the accident pressure threshold SB is greater than or equal to the accident pressure value, perform a reduction process on the accident pressure threshold SB. Specifically;

[0072] Perform a difference operation on the accident pressure value and the maximum value MA of all the pressure values within the normal operating cycle to obtain the threshold range value;

[0073] Divide the threshold range value equally at intervals of g, and denote all the equal division points as threshold adjustment points;

[0074] Perform a difference operation on the accident pressure value and the threshold adjustment points respectively to obtain the warning range value;

[0075] During accident-occurring cycles Q1, Q2, ..., Qn, mark the time point t0 when the accident occurs; and during accident-occurring cycles Q1, Q2, ..., Qn, mark the time points at which the pressure value is equal to the maximum value MA of all pressure values during the normal operation cycle, and obtain the time point with the smallest time interval from these time points to the accident-occurring time point t0, denoted as the marked time t1;

[0076] Obtain the time interval between the marked time t1 and the accident-occurring time point t0, denoted as the buffer time;

[0077] Divide the threshold range value by the buffer time to obtain the maximum accident rate;

[0078] Divide the warning range value by the maximum accident rate to obtain the remaining reaction time;

[0079] Analyze the historical cycle records of this type of cycle; in multiple cycles, record the reaction time with the longest time from generating the accident signal to sending out the alarm as the reaction consumption time;

[0080] Compare the reaction consumption time with the remaining reaction time;

[0081] If the reaction consumption time is greater than or equal to the remaining reaction time, take the threshold adjustment point with the smallest distance from the maximum value MA of all pressure values during the normal operation cycle as the accident pressure threshold SB;

[0082] If the reaction consumption time is less than the remaining reaction time, multiply the reaction consumption time by the maximum accident rate to obtain the reaction pressure change value; take the value obtained by subtracting the reaction pressure change value from the accident pressure value as the accident pressure threshold SB;

[0083] The beneficial effects of the embodiments of the present invention are as follows: By processing the pressure data of the normal operation cycle and the accident-occurring cycle, the calculated threshold can more accurately reflect the pressure characteristic differences of the system in the normal and accident states, providing a reliable benchmark for subsequent accident early warning; the threshold parameter analysis module checks and adjusts the accident pressure threshold, and performs dynamic processing according to the magnitude relationship between the accident pressure threshold and the accident pressure value; when the threshold is unreasonable, through further calculation and analysis, the threshold is optimized to ensure the rationality and applicability of the threshold; by calculating the remaining reaction time and comparing it with the reaction consumption time, the accident pressure threshold is reasonably determined to ensure that there is enough time to send out an alarm before the accident occurs, providing necessary reaction time for the operator.

[0084] Embodiment Four

[0085] As Figure 1 - Figure 4 shown, a control system for blast furnace top gas recovery provided by an embodiment of the present invention specifically includes the following modules:

[0086] Prediction parameter acquisition module: By obtaining the real-time change rate curve of the pressure value at the monitoring point, comparing it with the historical pressure change curve of the same type of historical period, screening out the reference pressure change curve, and performing data analysis to obtain the deviation degree value;

[0087] Obtain the real-time change rate of the pressure value at the monitoring point and draw the real-time pressure change curve;

[0088] Compare the real-time pressure change curve with the historical pressure change curve of the same type of historical period, screen out the historical pressure change curve that is closest to the real-time pressure change curve, and record this historical pressure change curve as the reference pressure change curve;

[0089] Compare the real-time pressure change curve with the reference pressure change curve to obtain the non-coincident curve length of the two curves;

[0090] Perform a ratio process on the non-coincident curve length and the total length of the real-time pressure change curve to obtain the non-coincident length ratio CD;

[0091] Calculate the area enclosed by the non-coincident curve and the reference pressure change curve, and perform a ratio process on it and the standard area to obtain the deviation area ratio CF;

[0092] Perform data analysis on the non-coincident length ratio CD and the deviation area ratio CF, and use the formula Obtain the deviation degree value PL; where j1 and j2 are preset proportionality coefficients;

[0093] It should be noted that the larger the deviation degree value PL, the greater the deviation between the real-time pressure change curve and the historical pressure change curve of the same type of historical period, and the higher the risk of an accident;

[0094] Prediction parameter analysis module: Compare the deviation degree value with the deviation degree threshold, and judge whether accident prediction is required according to the comparison result. If so, generate a prediction signal; Based on the prediction signal, analyze the real-time pressure change curve to obtain the prediction time value; Analyze the prediction time value to decide whether to generate a warning signal. If so, remind the management personnel of the potential accident risk;

[0095] Compare the deviation degree value with the deviation degree threshold, and the comparison process is as follows:

[0096] If the deviation degree value is less than the deviation degree threshold, generate a normal signal and do not perform any operation;

[0097] If the deviation degree value is greater than or equal to the deviation degree threshold, generate a prediction signal;

[0098] Analyze the real-time pressure change curve based on the predicted signal;

[0099] Obtain the maximum rate of pressure change V1 in the real-time pressure change curve;

[0100] Subtract the accident pressure threshold SB from the real-time pressure value to obtain the predicted pressure difference;

[0101] Divide the predicted pressure difference by the maximum rate of pressure change V1 to obtain the predicted time value; compare the predicted time value with the predicted time threshold. If the predicted time value is greater than the predicted time threshold, do nothing; if the predicted time value is less than or equal to the predicted time threshold, generate a warning signal to prompt the management that an accident may occur at this place;

[0102] The beneficial effects of the embodiments of the present invention are as follows: By comparing the real-time pressure change curve with the historical pressure change curves of the same type of historical cycle, the closest reference pressure change curve is selected, which improves the accuracy and reliability of the analysis; comparing the deviation degree value with the deviation degree threshold can quickly and accurately determine whether the current system operation state is normal or there may be accident risks; generating a normal signal or a predicted signal avoids unnecessary over-analysis and misjudgment, improves the operation efficiency of the system, and through the real-time monitoring and accurate analysis of the pressure change, timely discovers potential accident risks and issues warnings, which can effectively avoid the occurrence of accidents or reduce the severity of accidents, and improves the safety and stability of the blast furnace top gas recovery system.

[0103] The above has described in detail an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A control system for blast furnace top gas recovery, characterized in that, It includes the following modules: Period classification module: Obtain the pressure data when the recovered gas at the monitoring points in multiple monitoring periods, judge the similarity of the pressure data in each monitoring period, and classify the monitoring periods according to the similarity of the pressure data; Threshold parameter acquisition module: Calculate and process the pressure data in the normal operation and accident-occurring periods of the same type of periods after classification to obtain the threshold coefficient and the accident pressure threshold; Threshold parameter analysis module: Compare and analyze the accident pressure threshold, and judge whether to adjust and optimize the accident pressure threshold according to the analysis result. If so, optimize the accident pressure threshold to determine the final accident pressure threshold; Prediction parameter acquisition module: Obtain the deviation degree value by performing data analysis on the real-time change rate of the pressure value at the monitoring point and the historical pressure change curve of the historical periods of the same type; Prediction parameter analysis module: Compare the deviation degree value with the deviation degree threshold to generate a prediction signal; Obtain the prediction time value and perform analysis to judge whether there is a potential accident risk in the system and perform optimization and adjustment.

2. The control system for blast furnace top gas recovery according to claim 1, wherein The acquisition method of the accident pressure threshold is as follows: Obtain the maximum value of all pressure values in the normal operation periods Q1, Q2,..., Qm, denoted as MA; Calculate the accident pressure threshold SB using the formula SB = a1 * MA; where a1 is the threshold coefficient.

3. The control system for blast furnace top gas recovery according to claim 1, characterized in that, The acquisition method of the threshold coefficient is as follows: Calculate the data calculation threshold coefficient a1 for the accident pressure difference ratio SA and the accident cycle ratio SD, using the formula 4. A control system for blast furnace top gas recovery according to claim 3, characterized in that, The acquisition methods of the accident pressure difference ratio SA and the accident period ratio SD are as follows: Perform a difference process on the accident pressure value and the pressure standard value to obtain the accident pressure difference; Perform a ratio process on the accident pressure difference and the pressure standard value to obtain the accident pressure difference ratio, denoted as SA; Perform a ratio process on the number of accident-occurring periods and the total number of periods of this type to obtain the accident period ratio, denoted as SD.

5. A control system for blast furnace top gas recovery according to claim 1, characterized in that, The determination method of the accident pressure threshold is as follows: Compare the reaction consumption time with the remaining reaction time; If the reaction consumption time is greater than or equal to the remaining reaction time, use the threshold adjustment point with the smallest distance from the maximum value MA of all pressure values in the normal operation period as the accident pressure threshold SB; If the reaction consumption time is less than the remaining reaction time, perform a multiplication process on the reaction consumption time and the maximum accident rate to obtain the reaction pressure change value; Use the value obtained by subtracting the reaction pressure change value from the accident pressure value as the accident pressure threshold SB.

6. The control system for blast furnace top gas recovery according to claim 5, characterized in that, The acquisition methods of the reaction consumption time and the remaining reaction time are as follows: Perform a ratio process on the warning range value and the maximum accident rate to obtain the remaining reaction time; Analyze the historical period records of this type of period; In multiple periods, record the reaction time with the longest time from the generation of the accident signal to the issuance of the alarm as the reaction consumption time.

7. The control system for blast furnace top gas recovery according to claim 6, wherein The acquisition methods of the warning range value and the maximum accident rate are as follows: Perform a difference between the accident pressure value and the maximum value MA of all pressure values in the normal operation period to obtain the threshold range value; Obtain the threshold adjustment point; Perform a difference process on the accident pressure value and the threshold adjustment point respectively to obtain the warning range value and obtain the buffer time; Perform a ratio process on the threshold range value and the buffer time to obtain the maximum accident rate.

8. A control system for blast furnace top gas recovery according to claim 1, characterized in that, The acquisition method of the deviation degree value is as follows: The ratio of the length of the non - overlapping curve to the total length of the real - time pressure change curve is processed to obtain the non - overlapping length ratio CD; Calculate the area enclosed by the non - overlapping curve and the reference pressure change curve, and process the ratio of it to the standard area to obtain the deviation area ratio CF; Perform data analysis on the non - overlapping length ratio CD and the deviation area ratio CF, and use the formula to obtain the deviation degree value PL; where j1 and j2 are preset proportionality coefficients.

9. The control system for blast furnace top gas recovery according to claim 1, characterized in that The method for obtaining the predicted time value is as follows: The ratio of the predicted pressure difference to the maximum rate of pressure change V1 is processed to obtain the predicted time value.

10. A control system for blast furnace top gas recovery according to claim 9, characterized in that, The method for obtaining the predicted pressure difference and the maximum rate of pressure change V1 is as follows: Obtain the maximum rate of pressure change V1 in the real - time pressure change curve; Subtract the real - time pressure value from the accident pressure threshold SB to obtain the predicted pressure difference.

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