Control system and method for quantitative oiling lubrication of blast furnace

Abstract

The invention discloses a control system and method for quantitative oiling lubrication of a blast furnace, and the method comprises the steps: obtaining the temperature of lubricating oil in a pipeline in real time through a temperature sensor, analyzing the temperature, and generating a normal signal, a critical signal and an over-boundary signal; a temperature critical value and a temperature over-threshold value are obtained by analyzing the temperature difference value and the time and are used for judging the state of the equipment and guaranteeing stable operation of the equipment; based on the critical signal, the monitoring period is divided into sub-periods, the temperatures of different sub-periods are analyzed, a long-distance rate coefficient and a short-distance rate coefficient are calculated, a prediction rate coefficient is obtained, the temperature change trend of the lubricating oil is accurately predicted, the out-of-limit time is predicted, an alarm signal is sent out in time, and the equipment fault risk is reduced. Based on the over-bound signal, analyzing an equipment temperature mean value and a lubrication temperature mean value to obtain a correction coefficient, and further calculating the actual addition amount of the lubricating oil to realize accurate oiling; the lubricating effect is effectively improved, and the stability and economical efficiency of blast furnace production are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent manufacturing equipment industry, and particularly relates to a control system and method for quantitative oil adding and lubrication of blast furnaces. Background Art

[0002] In the modern steel production process, the blast furnace, as a core equipment, undertakes the key task of reducing iron ore into molten iron; during the operation of the blast furnace, it is subjected to high temperature, high pressure and intense mechanical movement inside, and the stable operation of its equipment plays a decisive role in the continuity and efficiency of the entire steel production; and the lubrication of the equipment, as a key factor to ensure its normal operation, is particularly important; the lubrication of the equipment is one of the key elements to ensure the stable operation of the blast furnace; high-quality and appropriate lubrication can effectively reduce the friction coefficient between equipment components, reduce wear, extend the service life of the equipment, and at the same time can also play multiple roles such as reducing energy consumption, suppressing vibration and noise; however, there are many insurmountable drawbacks in the traditional blast furnace lubrication methods widely used at present;

[0003] Some existing mechanical pumping lubrication systems, although realizing the automatic conveying of lubricating oil to a certain extent, generally lack the ability of real-time monitoring and intelligent regulation; these systems usually operate according to a preset fixed program and cannot adjust the addition amount of lubricating oil in a timely and accurate manner according to the actual operating conditions of the blast furnace equipment at different production stages and different working conditions, such as the temperature change of the equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide a control system and method for quantitative oil adding and lubrication of blast furnaces to solve at least one of the above-mentioned existing technical problems.

[0005] In the first aspect, the present invention provides a control method for quantitative oil adding and lubrication of blast furnaces, including:

[0006] Step 1: Obtain the temperature of the lubricating oil in the pipeline in real time through a temperature sensor, analyze the temperature of the lubricating oil in the pipeline with the first lubricating oil temperature threshold and the second lubricating oil temperature threshold respectively to obtain a temperature critical value and a temperature overrun value, compare the temperature critical value with the temperature critical threshold, if the temperature critical value is greater than or equal to the temperature critical threshold, generate a critical signal; compare the temperature overrun value with the temperature overrun threshold, if the temperature overrun value is greater than or equal to the temperature overrun threshold, generate an overrun signal;

[0007] Step 2: Based on the critical signal, conduct data analysis on the temperature change of the lubricating oil in the pipeline, predict the temperature change trend of the lubricating oil in the pipeline according to the analysis result, and obtain the predicted overrun time;

[0008] Step 3: Compare the predicted overrun time with the predicted overrun time threshold. If the predicted overrun time is greater than or equal to the predicted overrun time threshold, generate an alarm signal.

[0009] Step 4: Based on the overrun signal, perform data analysis on the lubricating oil temperature in the pipeline to obtain a correction coefficient.

[0010] Step 5: Process the correction coefficient to obtain the actual lubricating oil addition amount, transmit the actual lubricating oil addition amount to the control unit, and the control unit adds lubricating oil to the equipment according to the actual lubricating oil addition amount.

[0011] In a second aspect, the present invention provides a control system for quantitative lubricating oil addition in a blast furnace, including:

[0012] Temperature evaluation module: Obtain the temperature of the lubricating oil in the pipeline in real time through a temperature sensor, analyze the temperature of the lubricating oil in the pipeline with the first lubricating oil temperature threshold and the second lubricating oil temperature threshold respectively to obtain a temperature critical value and a temperature overrun value, compare the temperature critical value with the temperature critical threshold. If the temperature critical value is greater than or equal to the temperature critical threshold, generate a critical signal; compare the temperature overrun value with the temperature overrun threshold. If the temperature overrun value is greater than or equal to the temperature overrun threshold, generate an overrun signal.

[0013] Overrun time acquisition module: Based on the critical signal, perform data analysis on the temperature change of the lubricating oil in the pipeline, predict the temperature change trend of the lubricating oil in the pipeline according to the analysis result, and obtain the predicted overrun time.

[0014] Overrun time analysis module: Compare the predicted overrun time with the predicted overrun time threshold. If the predicted overrun time is greater than or equal to the predicted overrun time threshold, generate an alarm signal.

[0015] Correction coefficient acquisition module: Based on the overrun signal, perform data analysis on the lubricating oil temperature in the pipeline to obtain a correction coefficient.

[0016] Correction coefficient analysis module: Process the correction coefficient to obtain the actual lubricating oil addition amount, transmit the actual lubricating oil addition amount to the control unit, and the control unit adds lubricating oil to the equipment according to the actual lubricating oil addition amount.

[0017] Advantages of the present invention:

[0018] 1. The beneficial effects of the embodiments of the present invention are as follows: By obtaining the lubricating oil temperature in real time through a temperature sensor and comparing it with the first threshold value and the second threshold value of the lubricating oil temperature, critical signals and over-limit signals are generated in a timely manner; to evaluate whether the lubricating oil temperature is abnormal, potential problems are discovered in advance, and equipment damage caused by abnormal lubricating oil temperature is avoided, effectively ensuring the stable operation of the equipment; by analyzing and predicting the change of the lubricating oil temperature; this helps to formulate a maintenance plan in advance, reasonably arrange the equipment maintenance time, reduce the probability of sudden equipment failures, and improve the reliability and service life of the equipment.

[0019] 2. The beneficial effects of the embodiments of the present invention are as follows: Based on the critical signal, data analysis is carried out. By dividing the monitoring period into several sub-periods, the lubricating oil temperature in different sub-periods is analyzed respectively. The sub-periods are distinguished into rising and falling sub-periods, and different weights are assigned to the rising and falling sub-periods. The far-distance rate coefficient and the near-distance rate coefficient are calculated, and finally the predicted rate coefficient is obtained, making the prediction of the change trend of the lubricating oil temperature more accurate and enabling a more accurate grasp of the equipment operation status; by predicting the over-limit time and comparing it with the over-limit time threshold value, an alarm signal is generated in a timely manner; based on the alarm signal, the administrator is notified to cool down the lubricating oil in the pipeline to avoid serious damage to the equipment caused by too high lubricating oil temperature, further reducing the equipment failure risk and maintenance cost.

[0020] 3. The beneficial effects of the embodiments of the present invention are as follows: Based on the over-limit signal, data analysis of the lubricating oil temperature in the pipeline is carried out. By comprehensively considering multiple factors such as the average equipment temperature and the change rate of the lubricating oil temperature, a correction coefficient is obtained, and based on this, the actual addition amount of the lubricating oil is calculated; through a refined calculation method, the addition amount of the lubricating oil can be accurately determined according to the actual operation status of the equipment, avoiding too much or too little addition of the lubricating oil, further optimizing the lubrication effect; the accurate addition amount of the lubricating oil can ensure that the equipment operates in the best lubrication state, reduce the decline of equipment performance caused by insufficient lubrication or over-lubrication, extend the service life of the equipment, reduce the failure rate of the equipment, and improve the overall performance and stability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order 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 following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 It is a flowchart of obtaining the temperature critical value of a control method for quantitative lubricating oil addition in a blast furnace provided by Embodiment 1 of the present invention;

[0023] Figure 2It is a flowchart for obtaining the temperature over-limit value of a control method for quantitative oil addition lubrication in a blast furnace provided in Embodiment 1 of the present invention;

[0024] Figure 3 It is a flowchart for obtaining the predicted over-limit time of a control method for quantitative oil addition lubrication in a blast furnace provided in Embodiment 2 of the present invention;

[0025] Figure 4 It is a flowchart for obtaining the actual addition amount of a control method for quantitative oil addition lubrication in a blast furnace provided in Embodiment 3 of the present invention;

[0026] Figure 5 It is a schematic diagram of modules of a control system for quantitative oil addition lubrication in a blast furnace provided in Embodiment 4 of the present invention. Detailed implementation manners

[0027] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all 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.

[0028] Embodiment 1

[0029] As Figure 1-2 shown, a control method for quantitative oil addition lubrication in a blast furnace provided in an embodiment of the present invention specifically includes the following steps:

[0030] Step 1: Obtain the temperature of the lubricating oil in the pipeline in real time through a temperature sensor, analyze the temperature of the lubricating oil in the pipeline with the first lubricating oil temperature threshold and the second lubricating oil temperature threshold respectively to obtain the temperature critical value and the temperature over-limit value, compare the temperature critical value with the temperature critical threshold, if the temperature critical value is greater than or equal to the temperature critical threshold, generate a critical signal; compare the temperature over-limit value with the temperature over-limit threshold, if the temperature over-limit value is greater than or equal to the temperature over-limit threshold, generate an over-limit signal;

[0031] It should be noted that the first lubricating oil temperature threshold is less than the second lubricating oil temperature threshold;

[0032] A11: During the monitoring period, obtain the temperature of the lubricating oil in the pipeline in real time through a temperature sensor, and compare the temperature of the lubricating oil in the pipeline with the first lubricating oil temperature threshold and the second lubricating oil temperature threshold respectively. The comparison process is as follows:

[0033] If the temperature of the lubricating oil in the pipeline is less than the first lubricating oil temperature threshold, generate a normal signal;

[0034] If the temperature of the lubricating oil in the pipeline is greater than or equal to the first threshold value of the lubricating oil temperature and less than the second threshold value of the lubricating oil temperature, a first analysis signal is generated;

[0035] If the temperature of the lubricating oil in the pipeline is greater than or equal to the second threshold value of the lubricating oil temperature, a second analysis signal is generated;

[0036] A12: Based on the normal signal, it indicates that the temperature of the lubricating oil in the pipeline is normal and no operation is performed;

[0037] A13: Based on the first analysis signal, the difference between the real-time temperature of the lubricating oil in the pipeline and the first threshold value of the lubricating oil temperature is processed to obtain the first threshold difference, denoted as YC;

[0038] Obtain the time when the temperature of the lubricating oil in the pipeline is greater than or equal to the first threshold value of the lubricating oil temperature and less than the second threshold value of the lubricating oil temperature, denoted as the first threshold time, denoted as DY;

[0039] Perform data analysis on the first threshold difference YC and the first threshold time DY, using the formula Obtain the temperature critical value DZ, where b1 and b2 are preset proportionality coefficients;

[0040] Compare the temperature critical value with the temperature critical threshold value, and the comparison process is as follows:

[0041] If the temperature critical value is greater than or equal to the temperature critical threshold value, a critical signal is generated;

[0042] If the temperature critical value is less than the temperature critical threshold value, a first monitoring signal is generated;

[0043] Based on the critical signal, analyze the change in the temperature of the lubricating oil in the pipeline, and then predict the change in the temperature of the lubricating oil in the pipeline;

[0044] Based on the first monitoring signal, continuously monitor the change in the temperature of the lubricating oil in the pipeline;

[0045] A14: Based on the second analysis signal, the difference between the real-time temperature of the lubricating oil in the pipeline and the second threshold value of the lubricating oil temperature is processed to obtain the second threshold difference, denoted as EC;

[0046] Obtain the time when the temperature of the lubricating oil in the pipeline is greater than or equal to the second threshold value of the lubricating oil temperature, denoted as the second threshold time, denoted as EY;

[0047] Perform data analysis on the first threshold difference EC and the first threshold time EY, using the formula YZ = c1*(EC + EY) 3 + c2*ln(EC + EY + 1), to obtain the temperature overrun value YZ, where c1 and c2 are preset proportionality coefficients;

[0048] Compare the temperature overrun value with the temperature overrun threshold. The comparison process is as follows:

[0049] If the temperature overrun value is greater than or equal to the temperature overrun threshold, generate an overrun signal;

[0050] If the temperature overrun value is less than the temperature overrun threshold, generate a second monitoring signal;

[0051] Based on the overrun signal, when adding lubricating oil to the equipment, adjust the usage amount of the lubricating oil to ensure the lubrication effect of the equipment;

[0052] Based on the second monitoring signal, continuously monitor the temperature change of the lubricating oil in the pipeline;

[0053] The beneficial effects of the embodiments of the present invention are as follows: By using a temperature sensor to obtain the lubricating oil temperature in real time and comparing it with the first threshold and the second threshold of the lubricating oil temperature, critical signals and overrun signals are generated in a timely manner; Evaluate whether the lubricating oil temperature is abnormal, discover potential problems in advance, avoid damage to the equipment due to abnormal lubricating oil temperature, and effectively ensure the stable operation of the equipment; By analyzing and predicting the change of the lubricating oil temperature; This helps to formulate a maintenance plan in advance, reasonably arrange the equipment maintenance time, reduce the probability of sudden equipment failures, and improve the reliability and service life of the equipment.

[0054] Embodiment Two

[0055] As Figure 3 shown, a control method for quantitative lubricating oil addition in a blast furnace provided by an embodiment of the present invention specifically includes the following steps:

[0056] Step Two: Based on the critical signal, perform data analysis on the temperature change of the lubricating oil in the pipeline, and predict the temperature change trend of the lubricating oil in the pipeline according to the analysis result to obtain the predicted overrun time;

[0057] A21: Based on the critical signal, predict the temperature change trend of the lubricating oil in the pipeline;

[0058] Divide the monitoring period into n sub-periods, and obtain the temperature of the lubricating oil in the pipeline within each sub-period; Analyze the temperature of the lubricating oil in the pipeline within each sub-period;

[0059] S211: Obtain the lubricating oil temperature at the start point and end point of each sub-period, and record them as the sub-period start temperature and the sub-period end temperature respectively;

[0060] Subtract the sub-period end temperature from the sub-period start temperature to obtain the sub-period temperature difference;

[0061] Analyze the positivity and negativity of the sub-period temperature difference. The specific process is as follows:

[0062] If the temperature difference of a sub-period is positive, record the corresponding sub-period as a rising sub-period;

[0063] If the temperature difference of a sub-period is negative, record the corresponding sub-period as a falling sub-period;

[0064] If the temperature difference of a sub-period is zero, no marking is performed;

[0065] S212: Among the n divided sub-periods, record the first n1 sub-periods as remote sub-periods; record the last n2 sub-periods as close sub-periods; where n1 + n2 = n;

[0066] It should be noted that the time intervals between the remote sub-periods and the close sub-periods and the current time are different. When predicting the temperature of the lubricating oil in the pipeline, different weights are assigned to the sub-periods in different periods; the time interval between the remote sub-periods and the current time is longer, and the assigned weight is smaller; the time interval between the close sub-periods and the current time is shorter, and the assigned weight is larger;

[0067] S213: Obtain the sub-period temperature differences of the rising sub-periods and the falling sub-periods in the remote sub-periods respectively; perform a ratio process on the sub-period temperature difference of the rising sub-period and the period time of the rising sub-period to obtain the temperature rise rate; similarly, obtain the temperature drop rate;

[0068] Sum up and average the temperature rise rates and temperature drop rates of all sub-periods in the remote sub-periods, and take the absolute value of the obtained value to get the remote rate coefficient, denoted as YS;

[0069] S214: Obtain the sub-period temperature differences of all rising sub-periods; sum up and average the sub-period temperature differences of all rising sub-periods to obtain the average rising temperature difference; in the same way as obtaining the average rising temperature difference, obtain the average falling temperature difference;

[0070] Take the difference between the absolute values of the average rising temperature difference and the average falling temperature difference, and take the absolute value to get the close rate coefficient, denoted as JS;

[0071] A22: Perform data processing on the remote rate coefficient YS and the close rate coefficient JS, and use the formula DS = a1 * YS + a2 * JS to obtain the predicted rate coefficient DS; where a1 is the weight coefficient of the remote rate coefficient YS, a2 is the weight coefficient of the close rate coefficient JS, and a2 is greater than a1;

[0072] A23: Take the difference between the second threshold of the lubricating oil temperature and the real-time temperature of the lubricating oil in the pipeline to obtain the temperature overrun difference;

[0073] Perform a ratio process on the temperature overrun difference and the predicted rate coefficient to obtain the predicted overrun time;

[0074] Step 3: Compare the predicted overrun time with the predicted overrun time threshold. If the predicted overrun time is greater than or equal to the predicted overrun time threshold, generate an alarm signal;

[0075] Compare the predicted overrun time with the predicted overrun time threshold. The comparison process is as follows:

[0076] If the predicted overrun time is less than or equal to the predicted overrun time threshold, generate an alarm signal;

[0077] If the predicted overrun time is greater than the predicted overrun time threshold, generate a stable signal;

[0078] Based on the stable signal, continuously monitor the temperature of the lubricating oil in the pipeline;

[0079] Based on the alarm signal, send the alarm signal to the administrator terminal to notify the administrator to cool down the lubricating oil in the pipeline;

[0080] The beneficial effects of the embodiments of the present invention are as follows: Based on the critical signal, data analysis is carried out. By dividing the monitoring period into several sub-periods, the temperature of the lubricating oil in different sub-periods is analyzed respectively. The sub-periods are distinguished into rising and falling sub-periods, and different weights are assigned to the rising and falling sub-periods. The far-distance rate coefficient and the near-distance rate coefficient are calculated, and finally the predicted rate coefficient is obtained, making the prediction of the change trend of the lubricating oil temperature more accurate and being able to grasp the operating state of the equipment more accurately; By predicting the overrun time and comparing it with the predicted overrun time threshold, an alarm signal is generated in a timely manner; Based on the alarm signal, the administrator is notified to cool down the lubricating oil in the pipeline, avoiding serious damage to the equipment caused by too high temperature of the lubricating oil, and further reducing the equipment failure risk and maintenance cost.

[0081] Embodiment 3

[0082] As Figure 4 shown, a control method for quantitative refueling lubrication of a blast furnace provided by an embodiment of the present invention specifically includes the following steps:

[0083] Step 4: Based on the overrun signal, perform data analysis on the temperature of the lubricating oil in the pipeline to obtain a correction coefficient;

[0084] Based on the overrun signal, perform data analysis on the temperature of the lubricating oil in the pipeline. Specifically;

[0085] A41: Obtain the temperature values of the equipment corresponding to the lubricating oil outlet during the monitoring period, sum them up and take the average to obtain the average equipment temperature, marked as BJ;

[0086] A42: Obtain the second threshold time EY of the lubricating oil in the pipeline; Divide the second threshold time EY into several segments equally;

[0087] Obtain the lubricating oil temperature in the pipeline at the start time and end time of each segment; take the difference between the lubricating oil temperature in the pipeline at the end time and the lubricating oil temperature in the pipeline at the start time to obtain the temperature difference of each segment;

[0088] Take the ratio of the temperature difference of each segment to the time of each segment to obtain the temperature change rate V;

[0089] A43: Record the time corresponding to starting to add lubricating oil to the equipment as T0; obtain the lubricating oil temperature in the pipeline corresponding to T0, denoted as W0;

[0090] Record the time interval from starting to add lubricating oil to ending to add lubricating oil as the lubricating time period, marked as T;

[0091] Divide the lubricating time period T into n segments equally, and record the time of each segment as t; record the equal division points as T = {T1, T2, T3,..., Tn}; record the corresponding lubricating oil temperature in the pipeline as W = {W1, W2, W3,..., Wn};

[0092] S431: Calculate the lubricating oil temperature W1 at the T1 point, using the formula: W1 = V * t + W0;

[0093] It should be noted that the product of the temperature change rate V and the time t of each segment represents the change amount of the lubricating oil temperature in the pipeline after passing through the time t;

[0094] Obtain W2, W3,..., Wn in the same way as obtaining W1;

[0095] S432: Sum and average W1, W2, W3,..., Wn to obtain the average lubricating temperature, marked as WJ;

[0096] A44: Analyze the data of the average equipment temperature BJ and the average lubricating temperature WJ to obtain the correction coefficient. Specifically;

[0097] S441: Take the difference between the average lubricating temperature WJ and the second threshold of the lubricating oil temperature, and take the ratio of the obtained difference to the second threshold of the lubricating oil temperature to obtain the lubricating oil temperature change coefficient WB;

[0098] S442: Take the ratio of the average equipment temperature BJ to the equipment temperature threshold to obtain the equipment temperature change coefficient SX;

[0099] S443: Process the data of the lubricating oil temperature change coefficient WB and the equipment temperature change coefficient SX, using the formula to obtain the correction coefficient XZ; where c1 and c2 are preset proportionality coefficients;

[0100] It should be noted that the larger the correction coefficient XZ, the more additional lubricating oil the equipment needs to add;

[0101] Step Five: Process the correction coefficient to obtain the actual lubricating oil addition amount, and transmit the actual addition amount to the control unit. The control unit adds lubricating oil to the equipment according to the actual addition amount.

[0102] A51: Process the correction coefficient XZ and the standard lubricating oil addition amount BR, and use the formula: AZ = (XZ + 1) * BR to obtain the additional lubricating oil amount required for the corresponding equipment, denoted as the actual addition amount AZ.

[0103] Transmit the actual addition amount to the control unit. The control unit adds lubricating oil to the equipment according to the actual addition amount.

[0104] The beneficial effects of the embodiments of the present invention are as follows: Based on the out-of-bounds signal, analyze the data of the lubricating oil temperature in the pipeline, comprehensively consider multiple factors such as the average equipment temperature and the lubricating oil temperature change rate, obtain the correction coefficient, and calculate the actual lubricating oil addition amount accordingly; through a refined calculation method, it is possible to accurately determine the lubricating oil addition amount according to the actual operating conditions of the equipment, avoid excessive or insufficient lubricating oil addition, and further optimize the lubrication effect; the accurate lubricating oil addition amount can ensure that the equipment operates in the best lubrication state, reduce the decline in equipment performance caused by insufficient or excessive lubrication, extend the service life of the equipment, reduce the failure rate of the equipment, and improve the overall performance and stability of the equipment.

[0105] Embodiment Four

[0106] As Figure 5 shown, a control system for quantitative lubricating oil addition in a blast furnace provided by an embodiment of the present invention specifically includes the following modules:

[0107] Temperature evaluation module: Obtain the temperature of the lubricating oil in the pipeline in real time through a temperature sensor, analyze the temperature of the lubricating oil in the pipeline with the first lubricating oil temperature threshold and the second lubricating oil temperature threshold respectively to obtain the temperature critical value and the temperature out-of-bounds value, compare the temperature critical value with the temperature critical threshold, and if the temperature critical value is greater than or equal to the temperature critical threshold, generate a critical signal; compare the temperature out-of-bounds value with the temperature out-of-bounds threshold, and if the temperature out-of-bounds value is greater than or equal to the temperature out-of-bounds threshold, generate an out-of-bounds signal.

[0108] Out-of-bounds time acquisition module: Based on the critical signal, analyze the data of the temperature change of the lubricating oil in the pipeline, predict the temperature change trend of the lubricating oil in the pipeline according to the analysis result, and obtain the predicted out-of-bounds time.

[0109] Out-of-bounds time analysis module: Compare the predicted out-of-bounds time with the predicted out-of-bounds time threshold, and if the predicted out-of-bounds time is greater than or equal to the predicted out-of-bounds time threshold, generate an alarm signal.

[0110] Correction coefficient acquisition module: Based on the out-of-bounds signal, perform data analysis on the lubricating oil temperature in the pipeline to obtain the correction coefficient;

[0111] Correction coefficient analysis module: Process the correction coefficient to obtain the actual lubricating oil addition amount, and transmit the actual addition amount to the control unit. The control unit adds lubricating oil to the equipment according to the actual addition amount.

[0112] The above has described an embodiment of the present invention in detail, but the described content is only a preferred embodiment of the present invention and cannot be considered as limiting the implementation scope of the present invention. All equivalent changes and improvements made according to the scope of the present invention application shall still fall within the patent coverage scope of the present invention.

Claims

1. A control method for quantitative oil addition lubrication in a blast furnace, characterized in that, It includes the following steps: Step 1: Obtain the temperature of the lubricating oil in the pipeline in real time through a temperature sensor, compare the temperature with a temperature threshold, and then generate an over-limit signal; Step 2: Based on the critical signal, perform data analysis on the temperature change of the lubricating oil in the pipeline, predict the temperature change trend of the lubricating oil in the pipeline according to the analysis result, and obtain the predicted over-limit time; Step 3: Compare the predicted over-limit time with a predicted over-limit time threshold. If the predicted over-limit time is greater than or equal to the predicted over-limit time threshold, generate an alarm signal; Step 4: Based on the over-limit signal, perform data analysis on the temperature of the lubricating oil in the pipeline to obtain a correction coefficient; Step 5: Process the correction coefficient to obtain the actual lubricating oil addition amount, transmit the actual lubricating oil addition amount to the control unit, and the control unit adds lubricating oil to the equipment according to the actual lubricating oil addition amount.

2. The control method for quantitative oil addition lubrication of a blast furnace according to claim 1, characterized in that, The acquisition methods of the temperature critical value and the temperature over-limit value are as follows: Based on the first analysis signal, perform difference processing on the real-time temperature of the lubricating oil in the pipeline and the first lubricating oil temperature threshold to obtain the first threshold difference YC; obtain the time when the temperature of the lubricating oil in the pipeline is greater than or equal to the first lubricating oil temperature threshold and less than the second lubricating oil temperature threshold, denoted as the first threshold time DY; Perform data analysis on the first threshold difference YC and the first threshold time DY, and use the formula to obtain the temperature critical value DZ, where b1 and b2 are preset proportionality coefficients; Based on the second analysis signal, perform difference processing on the real-time temperature of the lubricating oil in the pipeline and the second lubricating oil temperature threshold to obtain the second threshold difference EC; Obtain the time when the temperature of the lubricating oil in the pipeline is greater than or equal to the second lubricating oil temperature threshold, denoted as the second threshold time EY; Perform data analysis on the first threshold difference EC and the first threshold time EY, and use the formula YZ = c1*(EC + EY) 3 + c2*ln(EC + EY + 1) to obtain the temperature over-limit value YZ, where c1 and c2 are preset proportionality coefficients.

3. The control method for quantitative oil addition lubrication of a blast furnace according to claim 1, characterized in that, The acquisition method of the predicted over-limit time is as follows: Perform difference processing on the second lubricating oil temperature threshold and the real-time temperature of the lubricating oil in the pipeline to obtain the temperature over-limit difference; Perform ratio processing on the temperature over-limit difference and the predicted rate coefficient to obtain the predicted over-limit time.

4. A control method for quantitative fuel injection lubrication in a blast furnace according to claim 3, characterized in that, The acquisition method of the predicted rate coefficient is as follows: Perform data processing on the far-distance rate coefficient YS and the near-distance rate coefficient JS, and use the formula DS = a1 * YS + a2 * JS to obtain the predicted rate coefficient DS; where, a1 is the weight coefficient of the far-distance rate coefficient YS, a2 is the weight coefficient of the near-distance rate coefficient JS, and a2 is greater than a1.

5. A control method for quantitative oil addition lubrication of a blast furnace according to claim 4, characterized in that, The acquisition method of the far-distance rate coefficient is as follows: Obtain the sub-cycle temperature difference between the rising sub-cycle and the falling sub-cycle in the far-distance sub-cycle; perform ratio processing on the sub-cycle temperature difference of the rising sub-cycle and the cycle time of the rising sub-cycle to obtain the temperature rise rate; similarly, obtain the temperature drop rate; Sum and average the temperature rise rates and temperature drop rates of all sub-cycles in the far-distance sub-cycle, and take the absolute value of the obtained value to obtain the far-distance rate coefficient, denoted as YS.

6. The control method for quantitative fuel injection lubrication of a blast furnace according to claim 4, wherein, The acquisition method of the near-distance rate coefficient is as follows: Obtain the sub-cycle temperature difference of all rising sub-cycles; sum and average the sub-cycle temperature differences of all rising sub-cycles to obtain the average rising temperature difference; in the same way as obtaining the average rising temperature difference, obtain the average falling temperature difference; Perform difference processing on the absolute values of the average rising temperature difference and the average falling temperature difference, and take the absolute value to obtain the near-distance rate coefficient, marked as JS.

7. A control method for quantitative fuel injection lubrication of a blast furnace according to claim 1, characterized in that, The acquisition method of the correction coefficient is as follows: Obtain the correction coefficient through data analysis of the average equipment temperature BJ and the average lubricating temperature WJ. Specifically; Perform a difference operation on the average lubrication temperature WJ and the second threshold of the lubricating oil temperature, and then perform a ratio operation on the obtained difference and the second threshold of the lubricating oil temperature to obtain the lubricating oil temperature change coefficient WB; Perform a ratio operation on the average equipment temperature BJ and the equipment temperature threshold to obtain the equipment temperature change coefficient SX; Perform data processing on the lubricating oil temperature change coefficient WB and the equipment temperature change coefficient SX, and use the formula to obtain the correction coefficient XZ; where c1 and c2 are preset proportionality coefficients.

8. A control method for quantitative oil addition lubrication of a blast furnace according to claim 7, characterized in that The methods for obtaining the average equipment temperature and the average lubrication temperature are as follows: Obtain the temperature values of the equipment corresponding to the lubricating oil outlet during the monitoring period, sum them up and take the average to obtain the average equipment temperature, denoted as BJ; Divide the second threshold time EY into several equal segments; obtain the lubricating oil temperature in the pipeline at the start time and end time of each segment; perform a difference operation on the lubricating oil temperature in the pipeline at the end time and the lubricating oil temperature in the pipeline at the start time to obtain the temperature difference of each segment; Perform a ratio operation on the temperature difference of each segment and the time of each segment to obtain the temperature change rate V; Calculate the lubricating oil temperature W1 at point T1 using the formula: W1 = V * t + W0; similarly obtain W2, W3,..., Wn; sum up and take the average of W1, W2, W3,..., Wn to obtain the average lubrication temperature, denoted as WJ.

9. A control method for quantitative oil addition lubrication in a blast furnace according to claim 1, characterized in that The method for obtaining the actual addition amount is as follows: Perform data processing on the correction coefficient XZ and the standard lubricating oil addition amount BR using the formula: AZ = (XZ + 1) * BR to obtain the additional lubricating oil amount required for the corresponding equipment, denoted as the actual addition amount AZ.

10. The control system for quantitative oil addition lubrication of a blast furnace according to claim 1, characterized in that, It includes the following modules: Temperature evaluation module: Real-time obtain the lubricating oil temperature in the pipeline through a temperature sensor, analyze the lubricating oil temperature in the pipeline with the first threshold of the lubricating oil temperature and the second threshold of the lubricating oil temperature respectively to obtain the temperature critical value and the temperature over-limit value, compare the temperature critical value with the temperature critical threshold, if the temperature critical value is greater than or equal to the temperature critical threshold, generate a critical signal; compare the temperature over-limit value with the temperature over-limit threshold, if the temperature over-limit value is greater than or equal to the temperature over-limit threshold, generate an over-limit signal; Over-limit time acquisition module: Based on the critical signal, perform data analysis on the temperature change of the lubricating oil in the pipeline, predict the temperature change trend of the lubricating oil in the pipeline according to the analysis result to obtain the predicted over-limit time; Over-limit time analysis module: Compare the predicted over-limit time with the predicted over-limit time threshold, if the predicted over-limit time is greater than or equal to the predicted over-limit time threshold, generate an alarm signal; Correction coefficient acquisition module: Based on the over-limit signal, perform data analysis on the lubricating oil temperature in the pipeline to obtain the correction coefficient; Correction coefficient analysis module: Perform data processing on the correction coefficient to obtain the actual addition amount of the lubricating oil, and transfer the actual addition amount to the control unit. The control unit adds lubricating oil to the equipment according to the actual addition amount.

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