CN113514104B - Real-time slag state monitoring method of converter - Google Patents
Real-time slag state monitoring method of converter Download PDFInfo
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- CN113514104B CN113514104B CN202110776952.2A CN202110776952A CN113514104B CN 113514104 B CN113514104 B CN 113514104B CN 202110776952 A CN202110776952 A CN 202110776952A CN 113514104 B CN113514104 B CN 113514104B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
- C21C5/28—Manufacture of steel in the converter
- C21C5/42—Constructional features of converters
- C21C5/46—Details or accessories
- C21C5/4673—Measuring and sampling devices
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P10/00—Technologies related to metal processing
- Y02P10/25—Process efficiency
Abstract
The invention relates to a real-time slag state monitoring method of a converter, which calculates the furnace gas flow of a converter mouth at each moment by monitoring the vibration state of a detection rod arranged at the converter mouth, judges the real-time slag state of the converter according to the furnace gas flow, has quick response, high precision, low installation cost and high automation degree, can quickly and accurately sense the slag reaction condition in the converter, provides accurate effective basis for subsequent decision control, and further improves the quality, the production efficiency and the safety of molten steel.
Description
Technical Field
The invention relates to the field of detection in the metallurgical industry, in particular to a method for monitoring the slag state of a converter.
Background
The converter effectively removes harmful elements such as sulfur, phosphorus and the like in molten steel through slagging, is main equipment in a steelmaking process, and is an important link for production and cost control of high-quality steel. However, in the slagging process of the converter, the phenomenon of 'drying back' that the slag liquid level is too low, namely the proportion of solid-phase substances in the slag is increased and the proportion of liquid-phase substances is reduced, can occur, so that insufficient slagging is caused, and the production quality and the production cost of steel are influenced; the phenomenon of 'splashing' that the slag liquid level is too high, namely the proportion of solid-phase substances is reduced and the proportion of liquid-phase substances is increased, can also occur, so that serious economic loss and personnel damage are caused. Therefore, in the process, the height of the oxygen lance needs to be adjusted in time according to the slagging state, namely the state of the slag in the converter, and slagging agents with high iron content such as ore need to be added or lifted to prevent the phenomena of 'drying back' and 'splashing'.
How to know the current slag state in the converter slagging process in time is an important monitoring index in the metallurgical industry. The slag state monitoring method in the prior art mainly comprises four steps: firstly, the manual judgment method: skilled kiln workers carry out manual judgment according to the blowing noise generated in the converter, but the working state of the workers is unstable and is greatly influenced by external noise, the shape of the converter and other external environmental factors, and the judgment result is not accurate; secondly, an image analysis method: shooting images or videos at a furnace mouth for image analysis, wherein the shooting requires time, and the situation in the furnace cannot be known in time only by shooting at the furnace mouth, so that the judgment time is relatively lagged; thirdly, furnace gas analysis method: collecting furnace gas at a furnace mouth, analyzing components, and determining time lag, wherein the component analysis is consistent with an image analysis method, the time delay is usually more than 10 minutes, and the installation cost is high; fourthly, an oxygen lance vibration monitoring method: the vibration state of the oxygen lance is monitored in real time, but the monitoring precision is not high due to the large diameter of the oxygen lance, and the judgment result is unstable.
Therefore, how to provide a slag state monitoring method with quick response, high precision and low cost is an important technical problem in the metallurgical industry at present.
Disclosure of Invention
In order to provide a slag state monitoring method with quick response, high precision and low cost, the invention provides 1 a real-time slag state monitoring method of a converter, which comprises the following steps:
s1: arranging a detection rod at a furnace mouth of the converter;
s2: monitoring the vibration state A of the detection rod at each moment in real time (t) ；
S3: according to the vibration state A of the detection rod at each moment (t) Calculating the furnace gas flow B of the furnace mouth at each moment (t) ；
S4: according to the furnace gas flow B of the furnace mouth at each moment (t) And judging the real-time slag state C of the converter (t) ；
In step S3, vibration state A (t) Including the vibration frequency P (t) And amplitude of vibration Q (t) (ii) a Calculating the furnace gas flow B of the furnace mouth at each moment by using a formula (1) (t) ；
B (t) ＝(L 1 *P (t) +L 2 *Q (t) )/S (1)
Wherein, B (t) The furnace gas flow L of the furnace mouth at the moment t 1 、L 2 To correct the coefficient, P (t) To detect the frequency of vibration of the rod at time t, Q (t) In order to detect the amplitude of the vibration of the rod at time t, S is the converter coefficient.
Further, step S1 includes:
s11: arranging N first detection rods parallel to the horizontal plane of the converter mouth at the converter mouth of the converter;
step S2, including:
s21: monitoring the vibration state a of the N first detection rods at each moment in real time N(t) Recording the vibration state A (t) ＝(a 1(t) ，a 2(t) ……a N(t) )；
Step S3, including:
s31: according to the vibration state a of N first detection rods at each moment N(t) Calculating the furnace gas flow b at each moment at each first detection rod N(t) ；
S32: calculating furnace gas flow B of the furnace mouth at each moment by using a formula (1) (t) ；
B (t) ＝K 1 *b 1(t) +K 2 *b 2(t) ……K N *b N(t) (2)；
Wherein K 1 、K 2 ……K N Is the weight coefficient of the first probe rod.
Further, step S1 includes:
s12: a compensation detection rod is arranged on the first detection rod;
step S2, further including:
s22: monitoring the vibration state a 'of the compensation detection rod at each moment in real time' N(t) ；
Step S3, further comprising, prior to step S31, adding:
s30: the vibration state a of the N first detection rods at each moment N(t) Subtracting the vibration state a 'of the corresponding compensation probe at each time' N(t) Obtaining the vibration state of the N first detection rods at each moment after compensation updating, and recording the vibration state A (t) ＝(a 1(t) -a’ 1(t) ，a 2(t) -a’ 2(t) ……a N(t) -a’ N(t) )。
Further, step S1 includes:
s13: arranging M second detection rods vertical to the horizontal plane of the converter mouth at the converter mouth of the converter;
step S2, further including:
s23: monitoring the vibration state a of the second detection rod at every moment in real time " M(t) ；
Step S3, further including:
s33: according to the vibration state a of the M second detection bars at each moment " M(t) Calculating furnace gas flow b 'at each moment of time at each second detection rod' M(t) (ii) a B 'is recorded' (t) ＝(b’ 1(t) ，b’ 2(t) ……b’ M(t) )；
S34: and (3) weighting and calculating furnace gas flow B 'of each moment of the furnace mouth monitored by the second detection rod' (t)
B’ (t) ＝K’ 1 *b’ 1(t) +K’ 2 *b’ 2(t) ……K’ M *b’ M(t) (3)
S35: calculating the furnace gas flow B of the updated furnace mouth at each moment by using the formula (4) (t) ”；
Wherein K' 1 、K’ 2 ……K’ N Is the weight coefficient of the second detection rod; b is (t) "is the furnace gas flow rate at each moment of the updated furnace mouth.
Further, step S4 includes:
s41: the furnace gas flow B of the furnace mouth at the time t (t) Minus the furnace gas flow B of the furnace mouth at the time t-1 (t-1) Obtaining the instantaneous furnace gas variation delta B of the furnace mouth at the moment t (t) ；
S42: when the furnace mouth is positionedInstantaneous variation delta B of furnace gas at moment t (t) Comparing with a first preset threshold and a second preset threshold; the first preset threshold is smaller than the second preset threshold;
s43: if the instantaneous variation quantity Delta B of the furnace gas (t) If the real-time slag state is smaller than the first preset threshold value, judging that the real-time slag state of the converter is a drying state;
s44: if the instantaneous variation quantity delta B of the furnace gas (t) If the real-time slag state is larger than the second preset threshold value, judging that the real-time slag state of the converter is a splashing state;
s45: if the instantaneous variation quantity delta B of the furnace gas (t) And judging that the real-time slag state of the converter is a normal state when the real-time slag state is greater than or equal to the first preset threshold and less than or equal to the second preset threshold.
Further, the slag state monitoring method further includes:
s5: according to the real-time slag state C of the converter (t) And sending a control signal to the converter.
Further, step S5 includes:
s51: when the real-time slag state of the converter is a drying state, reducing the flow of an oxygen lance of the converter;
s52: when the real-time slag state of the converter is a splashing state, improving the flow of the converter oxygen lance;
s53: and when the real-time slag state of the converter is a normal state, maintaining the flow of the converter oxygen lance.
Further, the arrangement position of the first detection rod adopts a gaussian integral legendre polynomial.
The real-time slag state monitoring method of the converter is realized by monitoring the vibration state of the detection rod arranged at the converter mouth, has the advantages of quick response, high precision, low installation cost and high automation degree, can quickly and accurately sense the slag reaction condition in the converter, provides accurate effective basis for subsequent decision control, and further improves the quality, production efficiency and safety of molten steel.
Drawings
FIG. 1 is a flow chart of one embodiment of a method of real-time slag state monitoring of a converter in accordance with the present invention;
FIG. 2 is a schematic view of a converter according to the present invention;
FIG. 3 is a schematic view of a probe rod according to the present invention;
FIG. 4 is a flowchart of one embodiment of step S4 of the real-time slag status monitoring method of the converter of the present invention;
FIG. 5 is a flowchart of another embodiment of a real-time slag condition monitoring method of a converter according to the present invention;
FIG. 6 is a flowchart of another embodiment of a real-time slag condition monitoring method of a converter according to the present invention;
FIG. 7 is a flowchart of another embodiment of a real-time slag condition monitoring method of a converter according to the present invention;
FIG. 8 is a schematic view of a converter employing a first probe rod to monitor an ideal flow field and a distorted flow field;
FIG. 9 is a schematic view of a converter employing four first probe rods to monitor an ideal flow field and a distorted flow field;
FIG. 10 is a schematic position diagram of one embodiment of four first sensing bars;
FIG. 11 is a flowchart of another embodiment of a real-time slag condition monitoring method of a converter according to the present invention;
FIG. 12 is a flowchart of another embodiment of a real-time slag condition monitoring method of a converter according to the present invention;
FIG. 13 is a schematic view of a second probe for use in the real-time slag state monitoring method of a converter according to the present invention;
FIG. 14 is a schematic view showing the structure of a real-time slag state monitoring apparatus for a converter according to the present invention.
Detailed Description
As shown in fig. 1-2, the present invention provides a real-time slag state monitoring method for a converter, which may optionally but not exclusively include:
s1: a detection rod 8 is arranged at the mouth of the converter.
S2: monitoring the vibration state A of the probe rod 8 at each moment in time in real time (t) 。
S3: according to the feeler lever 8Vibration state A at every moment (t) Calculating the furnace gas flow B of each moment at the furnace mouth (t) 。
S4: according to the furnace gas flow B of each moment of the furnace mouth (t) And judging the real-time slag state C of the converter (t) 。
Specifically, as shown in FIG. 2, a side view of a rotary kiln is shown, 1 being a rotary kiln; 2 is an oxygen lance; 3 is converting gas (generally pure oxygen); 4 is a smoke hood; 5 is a smoke hood waste gas outlet; 6 is molten steel; 7 is furnace gas. In the slagging process of the converter 1, the oxygen lance 2 injects blowing gas 3 (generally pure oxygen) into molten steel 6 of the converter 1, and when the blowing gas 3 reacts violently with iron and the like in the molten steel 6, a large amount of furnace gas 7 is generated. The design idea of the invention is to measure the vibration caused by the thrust of the furnace gas 7 at the furnace mouth, specifically, a detection rod 8 (specifically, a first detection rod 8A and a compensation detection rod 8B which are arranged in parallel as shown in fig. 2) is arranged at the furnace mouth, and a real-time vibration state A generated by the turbulent waste gas of the furnace gas 7 pushing the detection rod 8 is sensed by a sensing unit 9 such as a vibration sensor (t) Further, the real-time vibration state A is obtained (t) Transmitted to the signal processing unit 10 in a wired or wireless way, sampled and analyzed by the signal processing unit 10 to obtain the real-time furnace gas flow B (t) And continuously transmits the slag to a control unit 11 such as an upper computer and a mobile terminal to judge the real-time slag state C of the converter (t) And provides effective basis for operators or the control unit 10 to make decisions and control the primary and secondary systems 12.
In the embodiment, the real-time slag state of the converter is realized by monitoring the vibration state of the detection rod arranged at the converter mouth, the response is fast, the precision is high, the installation cost is low, the automation degree is high, the slag reaction condition in the converter can be quickly and accurately sensed, an accurate effective basis is provided for the follow-up decision control, and the molten steel quality, the production efficiency and the safety are further improved.
Specifically, as shown in fig. 3, in step S1, the detecting rod 8 may be, but not limited to, an integral or assembled by screws, and fasteners, and the shape, size, material, etc. of the detecting rod may be freely set according to the actual requirements of the outer diameter of the converter 1 and the shape and size of the smoke hood 4, and the detecting rod may be placed at the converter mouth by screws, welding, fixing and supporting, etc. the detecting rod may be, but not limited to, an detecting rod head 81, a detecting rod body 82, and a mounting hole 83. More specifically, the probe rod 8 may be selected from, but not limited to, a straight rod, an S-shape, an L-shape, etc., and is made of a high temperature resistant alloy or ceramic material (resistant to high temperature and without decreasing rigidity), and a cooling loop may be disposed around the probe rod to cool the probe rod. The probe head 81 can be made into the shape shown in fig. 3, but not limited to, the larger the contact area with the furnace gas 7, the higher the detection accuracy.
More specifically, step S2 is optionally, but not limited to, monitoring the vibration state a of the probe rod 8 at each moment by the sensing unit 9 (t) . The sensing unit 9 may be, but is not limited to, a piezoelectric, magnetoelectric, or capacitive vibration sensor. Taking the example that the sensing unit 9 is a piezoelectric ceramic type vibration sensor, when the detection rod 8 is pushed by the furnace gas 7, the piezoelectric ceramic is compressed or pulled, and is converted into an electric signal to feed back the vibration state A of the detection rod due to the pushing force (t) The detection sensitivity is high, the response time is fast, the installation cost is low, and the automation degree is high.
More specifically, in step S3, the signal processing unit 10 is optionally used to calculate the furnace gas flow B at each moment of the furnace mouth (t) . The signal processing unit 10, which may be selected but not limited to include a sampling subunit, a processing subunit and a calculating subunit, collects, amplifies, processes and calculates the vibration state sensed by the sensing unit 9 to obtain the real-time furnace gas flow B (t) . More specifically, the signal processing unit 10 can optionally, but not exclusively, analyze the vibration frequency P of the probe 8 after acquiring the data signal of the sensing unit 9 (t) And amplitude of vibration Q (t) (ii) a And calculating the furnace gas flow B of the furnace mouth at each moment by using a formula (1) (t) 。
B (t) ＝(L 1 *P (t) +L 2 *Q (t) )/S (1)
Wherein, B (t) The furnace gas flow L of the furnace mouth at the moment t 1 、L 2 To correct the coefficient, P (t) To detectVibration frequency of the rod at time t, Q (t) In order to detect the amplitude of the vibration of the rod at time t, S is the converter coefficient. Wherein the correction coefficient L 1 、L 2 Optionally but not limited to 1; the converter coefficient S is inversely proportional to the diameter of the converter mouth/tonnage of the converter, and the converter coefficient can be selected from 8 but not limited to the example that the diameter of the converter mouth is 4500mm and the tonnage is 150T.
More specifically, as shown in fig. 4, step S4 optionally but not limited to includes:
s41: the furnace gas flow B of the furnace mouth at the time t (t) Minus the furnace gas flow B of the furnace mouth at the time t-1 (t-1) Obtaining the instantaneous variation quantity delta B of the furnace gas at the time t of the furnace mouth (t) ；
S42: the instantaneous furnace gas variation quantity delta B of the furnace mouth at the moment t (t) Comparing with a first preset threshold and a second preset threshold; the first preset threshold is smaller than the second preset threshold;
s43: if instantaneous variation quantity delta B of furnace gas (t) If the real-time slag state is smaller than the first preset threshold value, judging that the real-time slag state of the converter is a drying state;
s44: if instantaneous furnace gas variation delta B (t) If the real-time slag state of the converter is larger than the second preset threshold value, judging that the real-time slag state of the converter is a splashing state;
s45: if instantaneous furnace gas variation delta B (t) And judging the real-time slag state of the converter to be a normal state when the real-time slag state is greater than or equal to a first preset threshold value and less than or equal to a second preset threshold value.
Notably, the instantaneous variation quantity Delta B of furnace gas (t) The embodiment as the basis for evaluation is only a preferred example of the embodiment, and is not limited thereto, and those skilled in the art can select but not limit to use the instantaneous flow rate of the furnace gas as the basis for evaluation. The first preset threshold and the second preset threshold can be set by those skilled in the art according to the actual conditions of the size of a converter mouth, the tonnage of a converter and the like. Specifically, the second preset threshold is optionally, but not limited to, equal to a constant 1 Coefficient of + C 1 Average of real-time detection quantities; note: constant number 1 Typically taken as 0.1, factor 1 Generally taking 1.5; a second predetermined threshold, optionally but not limited to being equal toCoefficient of performance 2 A second threshold; note: coefficient of performance 2 Typically 0.3.
More preferably, as shown in fig. 5, the real-time slag state monitoring method of the present invention further includes:
s5: according to the real-time slag state C of the converter (t) And sending a control signal to the converter.
Specifically, as shown in fig. 6, step S5 may optionally but not exclusively include:
s51: when the real-time slag state of the converter is a drying state, reducing the flow of an oxygen lance of the converter;
s52: when the real-time slag state of the converter is a splashing state, improving the flow of an oxygen lance of the converter;
s53: and when the real-time slag state of the converter is a normal state, maintaining the flow of the oxygen lance of the converter.
In the embodiment, the operation step of controlling the converter according to the real-time slag state of the converter is added to form closed-loop control of the real-time slag state and the converter operation, so that the molten steel quality, the production efficiency and the production safety can be further improved, and the production cost is reduced. The control method is not limited to the method for adjusting the oxygen lance flow rate as shown in S51-S53, but also includes alarm reminding (red light, flashing light, alarm sound, etc.), lance lifting, slag melting agent for increasing or decreasing iron content of ore, etc.
More specifically, as shown in fig. 7,
step S1, optionally but not limited to, includes:
s11: arranging N first detection rods 8A parallel to the horizontal plane of the converter mouth at the converter mouth of the converter;
step S2, optionally but not limited to, includes:
s21: monitoring the vibration state a of the N first detection rods at each moment in real time N(t) Recording the vibration state A (t) ＝(a 1(t) ，a 2(t) ……a N(t) )；
Step S3, optionally but not limited to, includes:
s31: according to each of N first detecting rodsVibration state a at one moment N(t) Calculating the furnace gas flow b at each moment of each first detection rod N(t) (ii) a Note B (t) ＝(b 1(t) ，b 2(t) ……b N(t) ). Specific example b N(t) The calculation method and formula (2) are as shown in the above step S3, and formula (1) is adopted.
S32: using the formula (2), the furnace gas flow B of each moment of the furnace mouth is calculated in a weighting way (t) ；
B (t) ＝K*B (t) ＝K 1 *b 1(t) +K 2 *b 2(t) ……K N *b N(t) (2)；
Wherein K 1 ～K N Is the weight coefficient of the first probe rod.
In this embodiment, the detection rods provided at the furnace opening are further modified into N first detection rods 8A (shown in fig. 8 to 9) parallel to the horizontal plane of the furnace opening, because: in reality, the interior of the converter is not a theoretical ideal flow field (left figure), but a distorted flow field (right figure) in most of time, and the actual condition of the interior of the converter cannot be well reflected by only adopting one detection rod. Specifically, as shown in fig. 8, when a parallel detection rod 8A is arranged at the furnace mouth, if the inside of the converter is an ideal flow field as shown in the left figure, that is, the furnace gas flow rates at various positions in the converter are equal, then one detection rod 8A can well reflect the current furnace gas flow rate; however, if the distorted flow field shown in the right diagram is inside the converter, that is, the furnace gas flow at each position in the converter is not equal, the state of the ideal flow field is still detected by one detection rod 8A, and the furnace gas flow in the distorted flow field cannot be well reflected. As shown in fig. 9, when N (4 shown in fig. 9) first detecting rods 8A are disposed at the furnace mouth in parallel with the horizontal plane of the furnace mouth, the change of the current furnace gas flow can be reflected well no matter an ideal flow field or a distorted flow field is encountered (as shown in the right diagram of fig. 9). Therefore, the embodiment can greatly improve the accuracy of the real-time slag state monitoring method. It should be noted that the specific number, shape and position of the N first detecting rods 8A parallel to the horizontal plane of the furnace mouth can be arbitrarily set by those skilled in the art according to the size of the converter, the precision requirement and the like.
More specifically, the specific arrangement positions and the weight coefficients K of the N first detection bars 8A 1 ～K N Optionally, but not limited to, using gaussian integral legendre polynomial (2n-1 order algebraic precision), trapezoidal formula (highest algebraic precision is 1 order), simpson formula (highest algebraic precision is 3 orders), etc. Since interpolation-type integrals such as trapezoidal equation and simpson equation require the position of the probe rod to be fixed or even equidistant, but the gaussian integral legendre polynomial is relatively free to select the position of the probe rod and has high integration precision, the following embodiments set the probe rod and the weight coefficient K by the gaussian legendre polynomial 1 ～K N The details are given for the examples.
In particular, Gaussian legendre polynomials are calculated
The algebraic root x N I.e. the position of the integral node, as the distance D between the N first detection rods 8A and the parallel central axis of the furnace mouth N The positions of the N first detecting rods 8A (for example, 4 first detecting rods 8A as shown in fig. 10) are set, and more specifically, the distance D between the first detecting rods and the central axis is set N *N＝x N Furnace mouth radius R; by an integral coefficient
As a weight coefficient.
In fig. 10, N is 4, and the radius R of the furnace mouth is 196.75:
further according to formula D N *N＝x N Radius of burner opening, known as D 1 ＝66.7，D 2 ＝169.05，D 3 ＝-169.05，
D 4 ＝-66.7；
In general, N is 1-4, and D can be called from Table 1 1 -D N Setting the first probe rod 8A, and its corresponding weight coefficient K 1 -K N 。
Table 1 table of setting position and weight coefficient of first detection lever 8A
More specifically, as shown in fig. 2 and 11, step S1 may optionally, but not limited to, include:
s12: a compensation detection rod 8B is provided on the first detection rod.
Step S2, further including:
s22: real-time monitoring of vibration state a 'of compensation detection rod at each moment' N(t) 。
Step S3, further comprising adding, prior to step S31:
s30: the vibration state a of the N first detection rods at each moment N(t) Subtracting the vibration state a 'of the corresponding compensation probe at each time' N(t) Obtaining the vibration state of the N first detection rods at each moment after compensation updating, and recording the vibration state A (t) ＝(a 1(t) -a’ 1(t) ，a 2(t) -a’ 2(t) ……a N(t) -a’ N(t) ). Followed by S31, S32, the only difference from the previous embodiment being that at this time a N(t) Is updated a N(t) I.e. a N(t) -a’ N(t) 。
In this embodiment, the additional compensation probe 8B is capable of monitoring the first probe 8ASelf-vibration a 'generated by converter self-vibration, environmental factors and the like' N(t) Using the principle of difference a N(t) -a’ N(t) The common-ground vibration is compensated, the vibration capability of the first detection rod 8A for reacting the vibration generated by the thrust of the furnace gas alone is further improved, and the flow B of the furnace gas is further really reacted (t) And the detection precision is improved.
Specifically, the compensation detection rod 8B may be optionally, but not limited to, directly disposed at the end of the first detection rod 8A, or indirectly disposed at the end of the first detection rod 8A by sharing a mounting point with the first detection rod 8A. More specifically, since the sensing units 9 (e.g. vibration sensors) mounted on each of the detecting rods 8 are not identical, the vibration state of the compensating detecting rod 8B can be optionally but not limited to be further processed by a weighting method, so that the updated vibration state of each of the N first detecting rods at each time is recorded as the vibration state a (t) ＝((a 1(t) -U 1 a - ’ 1(t) ，a 2(t) –U 2 a’ 2(t) ……a N(t) –U N a’ N(t) ). Wherein, U N The specific value range of the weight coefficient of each sensing unit 9 is selectable but not limited to 0-1.
More specifically, as shown in figures 12-13,
step S1 may optionally, but not exclusively, include:
s13: m second detection rods 8C vertical to the horizontal plane of the converter mouth are arranged at the converter mouth of the converter;
step S2 may optionally, but not exclusively, include:
s23: monitoring the vibration state a of the second detection rod at every moment in real time " M(t) (ii) a (namely, a 1(t) -a N(t) Represents the vibration state of the first probe rod, a' 1(t) -a’ N(t) Representing the vibrational state of the compensating feeler lever, a " 1(t) -a” M(t) Representing the vibrational state of the second probe rod);
step S3 may optionally, but not exclusively, include:
s33: according to the vibration state a of the M second detection bars at each moment " M(t) Calculating furnace gas flow b 'at each moment of time at each second detection rod' Mt) (ii) a Is (b' 1(t) ，b’ 2(t) ……b’ M(t) ). Concretely b' M(t) The calculation method and formula (2) are as shown in the above step S3, and formula (1) is adopted.
S34: and (3) weighting and calculating furnace gas flow B 'of each moment of the furnace mouth monitored by the second detection rod by using formula (2)' (t) ；
B’ (t) ＝K’*B’ (t) ＝K’ 1 *b’ 1(t) +K’ 2 *b’ 2(t) ……K’ M *b’ M(t) (3)；
Wherein K' 1 ～K’ M Is the weight coefficient of the second probe rod. Specifically, the setting positions and weighting factors of the M second detection rods 8C may be selected, but not limited to, the setting positions and weighting factors of the first detection rods 8B.
S35: calculating the furnace gas flow B of the updated furnace mouth at each moment by using the formula (4) (t) ”。
In this embodiment, the M second detecting rods 8C are added perpendicularly to the horizontal plane of the furnace mouth in order to detect the furnace gas flow rate B at each moment of the furnace mouth at which the N first detecting rods 8A (whether the compensating detecting rods 8B are present or not) react when a transverse vortex is present in the furnace (t) Is the vector composite flow of the horizontal component parallel to the furnace mouth plane and the vertical component vertical to the furnace mouth plane, and we are converting the furnace gas flow B (t) When comparing with the first preset threshold and the second preset threshold, the pure furnace gas flow B is expected to be calculated (t) I.e., the instantaneous flow rate that blows vertically toward the first detection rod 8A to cause vibration. Therefore, it is necessary to add the second probe 8C, and when there is a transverse vortex in the furnace, M second probe 8C react to generate the furnace gas flow rate B 'at each time' (t) Is parallel to the horizontal component of the furnace mouth plane and perpendicular to the furnaceThe vector synthesis flow of the vertical component of the port plane needs vector calculation firstly, and the furnace gas flow is parallel to the horizontal component of the furnace port plane under the transverse vortex
Further updating and calculating by using a formula (3) to obtain the furnace gas flow B after updating again (t) The updated furnace gas flow is only the vertical component of the furnace gas flow, namely the instantaneous flow which is blown to the first detection rod 8A vertically to cause vibration. Therefore, the embodiment of adding the second compensation detection rod 8C further improves the accuracy and judgment accuracy of the slag state monitoring method of the converter.
On the other hand, as shown in fig. 2 and 14, the present invention also provides a real-time slag state monitoring apparatus for a converter, comprising:
the detection rod 8 is arranged at the furnace mouth of the converter; a sensing unit 9 connected with the detecting rod 8 for monitoring the vibration state A of the detecting rod 8 at each moment in real time (t) (ii) a A signal processing unit 10 connected to the sensing unit 9 for detecting the vibration state A of the rod 8 at each moment (t) Calculating the furnace gas flow B of each moment at the furnace mouth (t) (ii) a A control unit 11 connected with the signal processing unit 10 and used for controlling the furnace gas flow B according to each moment of the furnace mouth (t) And judging the real-time slag state C of the converter (t) 。
In the embodiment, the real-time slag state monitoring device of the converter is realized by monitoring the vibration state of the detection rod arranged at the converter mouth, has the advantages of quick response, high precision, low installation cost and high automation degree, can quickly and accurately sense the slag reaction condition in the converter, provides accurate effective basis for subsequent decision control, and further improves the quality of molten steel, the production efficiency and the safety. It should be noted that the apparatus corresponds to the above method, and the selected embodiments, the functions and technical effects of the various components such as the detection rod 8, the sensing unit 9, the signal processing unit 10 and the control unit 11 correspond to the above method, and will not be described herein again. It should be noted that, the signal processing unit 10 and the control unit 11 may be selected from, but not limited to, a separate control chip or processor, or a combined mobile terminal or upper computer, and the implementation manner understood by those skilled in the art is not limited to this example.
Specifically, as shown in fig. 3, the detecting rod 8 may optionally, but not exclusively, include:
a detection rod head 81, a detection rod body 82 and a mounting hole 83;
a detection rod head 81 provided at the front end of the detection rod body 82;
and a mounting hole 83 provided at the rear end portion of the detection rod body for mounting the sensing unit 9.
More specifically, as shown in fig. 14, the signal processing unit 10, optionally but not limited to, includes a sampling subunit 101, a processing subunit 102, and a calculating subunit 103;
a sampling sub-unit 101 connected with the sensing unit 9 and the processing sub-unit 102 for sampling the vibration state A of the receiving probe 8 at each moment (t) And sent to the processing subunit 102;
a processing subunit 102, further connected to the calculating subunit 103, for determining the vibration state A of the probe 8 at each moment (t) The vibration frequency P of the probe 8 at each moment is analyzed (t) And amplitude of vibration Q (t) ；
A calculating subunit 103, connected to the control unit 11, for calculating the vibration frequency P of the probe 8 at each moment (t) And amplitude of vibration Q (t) Calculating the furnace gas flow B of each moment at the furnace mouth (t) To the control unit 11.
More specifically, the calculating subunit 103 calculates the furnace gas flow B at each moment of the furnace mouth by using the formula 1 t ；
B (t) ＝(L 1 *P (t) +L 2 *Q (t) )/S (1)
Wherein, B (t) The furnace gas flow L of the furnace mouth at the moment t 1 、L 2 To correct the coefficient, P (t) For detecting the rod 8Vibration frequency at time t, Q (t) S is the converter coefficient for detecting the amplitude of the oscillation of the rod 8 at the time t.
More specifically, the control unit 11, optionally but not limited to, includes: a first calculation subunit 111, a second calculation subunit 112, a first determination subunit 113, a second determination subunit 114, and a third determination subunit 115;
a first calculating subunit 111 connected with the signal processing unit 10 and the second calculating subunit 112 for calculating the furnace gas flow B at the time t t Minus the furnace gas flow B of the furnace mouth at the time t-1 t-1 Obtaining the instantaneous furnace gas variation delta B of the furnace mouth at the moment t t ；
The second calculating subunit 112 is further connected to the first determining subunit 113, the second determining subunit 114, and the third determining subunit 115, and is used for calculating the instantaneous furnace gas variation Δ B at the time t of the furnace mouth t Compares with a first preset threshold and a second preset threshold, and sends the comparison result to the first determining subunit 113, the second determining subunit 114, and the third determining subunit 115; the first preset threshold value is smaller than the second preset threshold value;
a first judging subunit 113 for judging the instantaneous furnace gas variation Delta B t When the real-time slag state is smaller than a first preset threshold value, judging that the real-time slag state of the converter is a drying state;
second determining stator unit 114 determining instantaneous furnace gas variation quantity delta B t When the real-time slag state is larger than a second preset threshold value, the real-time slag state of the converter is judged to be a splashing state;
a third judging subunit 115 for judging the instantaneous furnace gas variation Δ B t And when the real-time slag state is greater than or equal to a first preset threshold value and less than or equal to a second preset threshold value, determining that the real-time slag state of the converter is a normal state.
More specifically, the control unit 11 may optionally include, but is not limited to:
a signal transmitting subunit 116 connected with the first determining subunit 113, the second determining subunit 114, the third determining subunit 115 and the converter for determining the real-time slag state C of the converter (t) And sending a control signal to the converter.
More specifically, the detecting rod 8 may be, but is not limited to, N first detecting rods 8A arranged at the furnace mouth of the converter and parallel to the horizontal plane of the furnace mouth;
a sensing unit 9 for monitoring the vibration state a of the N first detection rods 8A at each moment in real time N(t) Recording the vibration state A (t) ＝a 1(t) ，a 2(t) ……a N(t) ；
A signal processing unit 10 for processing the vibration state a of the N first detection bars at each time N(t) Calculating the furnace gas flow b at each moment of each first detection rod N(t) (ii) a Then using the formula 2 to calculate the furnace gas flow B of the furnace mouth at each moment (t) ；
B (t) ＝K 1 *b 1(t) +K 2 *b 2(t) ……K N *b N(t) (2)；
Wherein, K 1 、K 2 ……K N Is the weight coefficient of the first probe rod.
More specifically, the detecting rod 8 may further include, but is not limited to, a compensation detecting rod 8B provided on the first detecting rod 8A;
the sensor unit 9 is also used for monitoring the vibration state a 'of the compensation detection rod 8B at each moment in real time' N(t) ；
A signal processing unit for calculating the compensated and updated vibration state A of the N first detection bars 8A at each time (t) ＝a 1(t) -a’ 1(t) ，a 2(t) -a’ 2(t) ……a N(t) -a’ N(t) (ii) a Then according to the vibration state a updated by the compensation of each moment of the N first detection rods N(t) Calculating the furnace gas flow b at each moment of each first detection rod N(t) (ii) a Using formula 2, the furnace gas flow B at each moment of the furnace mouth is calculated in a weighted manner (t) ；
B (t) ＝K 1 *b 1(t) +K 2 *b 2(t) ……K N *b N(t) (2)。
More specifically, the detecting rod 8 may optionally, but not exclusively, include M second detecting rods 8C arranged at the furnace mouth of the converter and perpendicular to the horizontal plane of the furnace mouth;
a sensing unit 9 for monitoring the vibration state a of the second detecting rod 8C at each moment in real time " M(t) ；
A signal processing unit 10 for further processing the vibration state a according to each time of the M second detection bars " M(t) Calculating furnace gas flow b 'at each moment of time at each second detection rod' M(t) (ii) a Note B' (t) ＝b’ 1(t) ，b’ 2(t) ……b’ M(t) (ii) a Furnace gas flow B 'of each moment of the furnace mouth is calculated in a weighted mode by using formula 3' (t)
B’ (t) ＝K’ 1 *b’ 1(t) +K’ 2 *b’ 2(t) ……K’ M *b’ M(t) (3)
Calculating the furnace gas flow B of each moment of the updated furnace mouth by using the formula 4 (t) ”；
Wherein K' 1 、K’ 2 ……K’ M Is the weight coefficient of the second probe rod.
More specifically, the positions of the first probe 8A and the second probe 8C are determined according to the gaussian legendre polynomial
Algebraic root of X N And (4) setting.
It should be noted that the real-time slag state monitoring device of the converter corresponds to the real-time slag state monitoring method of the converter, and the structural materials, functions, technical effects and the like of each component correspond thereto, which is not described herein again. The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A real-time slag state monitoring method of a converter is characterized by comprising the following steps:
s1: arranging a detection rod at a furnace mouth of the converter;
s2: monitoring the vibration state A of the detection rod at each moment in real time (t) ；
S3: according to the vibration state A of the detection rod at each moment (t) Calculating the furnace gas flow B of the furnace mouth at each moment (t) ；
S4: according to the furnace gas flow B of the furnace mouth at each moment (t) And judging the real-time slag state C of the converter (t) ；
In step S3, vibration state A (t) Including the vibration frequency P (t) And amplitude of vibration Q (t) (ii) a Calculating the furnace gas flow B of the furnace mouth at each moment by using a formula (1) (t) ；
B (t) ＝(L 1 *P (t) +L 2 *Q (t) )/S (1)
Wherein, B (t) The furnace gas flow, L, of the furnace mouth at the time t 1 、L 2 To correct the coefficient, P (t) To detect the frequency of vibration of the rod at time t, Q (t) In order to detect the amplitude of the vibration of the rod at time t, S is the converter coefficient.
2. The real-time slag condition monitoring method according to claim 1,
step S1, including:
s11: arranging N first detection rods parallel to the horizontal plane of the converter mouth at the converter mouth of the converter;
step S2, including:
s21: monitoring the vibration state a of the N first detection rods at each moment in real time N(t) Recording the vibration state A (t) ＝(a 1(t) ，a 2(t) ……a N(t) )；
Step S3, including:
s31: according to the vibration state a of N first detection rods at each moment N(t) Calculating the furnace gas flow b at each moment of each first detection rod N(t) ；
S32: calculating the furnace gas flow B of the furnace mouth at each moment by using a formula (2) (t) ；
B (t) ＝K 1 *b 1(t) +K 2 *b 2(t) ……K N *b N(t) (2)；
Wherein K 1 、K 2 ……K N Is the weight coefficient of the first probe rod.
3. The real-time slag condition monitoring method according to claim 2,
step S1, further including:
s12: a compensation detection rod is arranged on the first detection rod;
step S2, further including:
s22: monitoring the vibration state a 'of the compensation detection rod at each moment in real time' N(t) ；
Step S3, further comprising adding, prior to step S31:
s30: the vibration state a of the N first detection rods at each moment N(t) Subtracting the vibration state a 'of the corresponding compensation probe at each time' N(t) Obtaining the vibration state of the N first detection rods at each moment after compensation updating, and recording the vibration state A (t) ＝(a 1(t) -a’ 1(t) ，a 2(t) -a’ 2(t) ……a N(t) -a’ N(t) )。
4. The real-time slag condition monitoring method according to claim 3,
step S1, further including:
s13: arranging M second detection rods vertical to the horizontal plane of the converter mouth at the converter mouth of the converter;
step S2, further including:
s23: monitoring the vibration state a of the second detection rod at every moment in real time " M(t) ；
Step S3, further including:
s33: according to the vibration state a of the M second detection bars at each moment " M(t) Calculating furnace gas flow b 'at each moment of time at each second detection rod' N(t) (ii) a Note B' (t) ＝(b’ 1(t) ，b’ 2(t) ……b’ M(t) )；
S34: and (3) weighting and calculating furnace gas flow B 'of each moment of the furnace mouth monitored by the second detection rod' (t) ；
B’ (t) ＝K’ 1 *b’ 1(t) +K’ 2 *b’ 2(t) ……K’ M *b’ M(t) (3)
S35: calculating the furnace gas flow B of the updated furnace mouth at each moment by using the formula (4) (t) ”；
Wherein K' 1 、K’ 2 ……K’ M Is the weight coefficient of the second detection rod; b (t) "is the furnace gas flow rate at each moment of the updated furnace mouth.
5. The real-time slag condition monitoring method according to any one of claims 1 to 4, wherein the step S4 includes:
s41: the furnace gas flow B of the furnace mouth at the moment t (t) Furnace gas with furnace mouth at time t-1Flow rate B (t-1) Obtaining the instantaneous furnace gas variation delta B of the furnace mouth at the moment t (t) ；
S42: the instantaneous furnace gas variation quantity delta B of the furnace mouth at the moment t (t) Comparing with a first preset threshold and a second preset threshold; the first preset threshold is smaller than the second preset threshold;
s43: if the instantaneous variation quantity delta B of the furnace gas (t) If the real-time slag state is smaller than the first preset threshold value, judging that the real-time slag state of the converter is a drying state;
s44: if the instantaneous variation quantity delta B of the furnace gas (t) If the real-time slag state is larger than the second preset threshold value, judging that the real-time slag state of the converter is a splashing state;
s45: if the instantaneous variation quantity delta B of the furnace gas (t) And judging that the real-time slag state of the converter is a normal state when the real-time slag state is greater than or equal to the first preset threshold and less than or equal to the second preset threshold.
6. The real-time slag condition monitoring method of claim 5, further comprising:
s5: according to the real-time slag state C of the converter (t) And sending a control signal to the converter.
7. The real-time slag condition monitoring method according to claim 6, wherein the step S5 includes:
s51: when the real-time slag state of the converter is a drying state, reducing the flow of an oxygen lance of the converter;
s52: when the real-time slag state of the converter is a splashing state, improving the flow of the converter oxygen lance;
s53: and when the real-time slag state of the converter is a normal state, maintaining the flow of the converter oxygen lance.
8. The real-time slag condition monitoring method according to any one of claims 2-4, wherein the first probe rod is disposed in a position using a Gaussian-integrate Legendre polynomial.
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| CN101016576B (en) * | 2007-02-26 | 2010-10-13 | 河北钢铁股份有限公司 | Method and device of detecting slag state of oxygen top-blown converter based on oxygen gun vibration |
| CN201010664Y (en) * | 2007-02-26 | 2008-01-23 | 唐山钢铁股份有限公司 | Oxygen lance vibration based slag state detecting device of oxygen top blown converter |
| CN104087707B (en) * | 2014-07-30 | 2016-06-22 | 湖南镭目科技有限公司 | A kind of converter slag monitoring method and system |
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