CN112111618B - Blast furnace burden descending uniformity judgment and early warning method and system - Google Patents

Blast furnace burden descending uniformity judgment and early warning method and system Download PDF

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CN112111618B
CN112111618B CN202011002285.4A CN202011002285A CN112111618B CN 112111618 B CN112111618 B CN 112111618B CN 202011002285 A CN202011002285 A CN 202011002285A CN 112111618 B CN112111618 B CN 112111618B
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blast furnace
uniformity
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blanking
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CN112111618A (en
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郑魁
饶家庭
付卫国
谢洪恩
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Pangang Group Research Institute Co Ltd
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    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21B—MANUFACTURE OF IRON OR STEEL
    • C21B5/00—Making pig-iron in the blast furnace
    • C21B5/006—Automatically controlling the process
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • 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
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention provides a method for judging and early warning descending uniformity of blast furnace burden, which comprises the following steps: respectively constructing a partial material index X according to the obtained data in a blast furnace material distribution period with at least two stock rods running1And index of disintegrating and slipping material X2Suspension index X3And a blanking uniformity index X4(ii) a By using X1、X2、X3And X4And constructing a blanking stability index Z to comprehensively judge the descending uniformity of the blast furnace burden, and carrying out early warning when the index Z exceeds a preset threshold value. The invention constructs a partial material index X1And index of disintegrating and slipping material X2Suspension index X3And blanking uniformity index X4The blanking stability index Z is used for judging and counting the descending uniformity of the furnace burden of the blast furnace and assisting operators in pre-judging the stability trend of the blast furnace; and the early warning is carried out according to the value of the blanking stability index Z, so that an operator can be reminded of correcting and adjusting the poor condition of the furnace condition in time, and the stable and smooth operation of the blast furnace is promoted.

Description

Method and system for judging and early warning descending uniformity of blast furnace burden
Technical Field
The invention relates to the technical field of blast furnace ironmaking monitoring, in particular to a blast furnace blanking uniformity judging and early warning method and system.
Background
In the blast furnace smelting process, the blast furnace is a closed vertical high-temperature and high-pressure reaction container, complex gas-solid-liquid multiphase reaction is carried out in the blast furnace, and the orderly downward movement of furnace burden in the blast furnace is the basis of stable and smooth movement, high efficiency and high yield of the blast furnace. However, in the production and smelting process, the orderly downward movement of the blast furnace burden is influenced by the active degree of the blast furnace hearth, the self property of the blast furnace burden, the distribution change of the blast furnace gas flow, the slag bonding of the furnace wall or the falling of slag crust of the blast furnace due to the change of the cooling system, and the phenomena of fast or slow blanking and uneven blanking in the circumferential direction can occur in the descending process of the burden. When the non-uniformity of the descending of the furnace burden exceeds a certain range or reaches a certain frequency, the stable production of the blast furnace is usually indicated to be damaged, if the deviation is not corrected in time, the condition of the blast furnace is possibly developed in a more unfavorable direction, and even the condition of the blast furnace greatly fluctuates and the condition of the blast furnace is abnormal, so that great economic loss is caused.
However, the blast furnace is still a black box at present, and the ordered descending of furnace burden is completely judged by a blast furnace operator according to a descending curve of a blast furnace stock rod and by combining the accumulated experience of the blast furnace operator; on one hand, the blast furnace operators pay more attention to the information; on the other hand, the blast furnace operator often neglects or does not pay attention to the subtle differences expressed by the trial-and-error curve, and eventually causes the trouble of missing the regulator furnace conditions, resulting in the progress of the blast furnace conditions toward deterioration. Particularly for blast furnace smelting of vanadium titano-magnetite, the suitable furnace temperature control interval is narrow in the production process, the uniformity of the iron slag is difficult to control, the descending speed of the furnace charge before and after the iron slag is easy to change, and the probability of furnace condition fluctuation is increased. Therefore, an effective method is needed to automatically count and judge the descending uniformity of the blast furnace burden, remind the blast furnace operators of correcting deviation and adjusting the burden timely and ensure the stable and smooth operation of the blast furnace.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a system for determining and warning descending uniformity of blast furnace burden, so as to solve the problem in the prior art that due to lack of timely determination of descending uniformity of blast furnace burden, time for descending deviation correction and adjustment of blast furnace burden is missed.
Based on the above purpose, an aspect of the embodiments of the present invention provides a method for determining and warning descending uniformity of blast furnace burden, including the following steps:
respectively constructing a partial material index X according to the obtained data in a blast furnace material distribution period with at least two stock rods running1Disintegrating material index X2Suspension index X3And a blanking uniformity index X4；
By using X1、X2、X3And X4And (4) constructing a blanking stability index Z to comprehensively judge the descending uniformity of the blast furnace burden and carrying out early warning.
In some embodiments, the acquired data includes: depth value h of each stock rod in distribution period of blast furnaceiDown time Δ tiAnd the charge level descending stroke Deltahi：Δhi＝(hi-max-hi-min) Where i denotes the index of each probe, i ═ 1,2,3.. n.
In some embodiments, a bias index X is constructed1The method comprises the following steps: obtaining the depth value h of each stock rod at the same moment in the material distribution period of the blast furnacei(ii) a Calculating the difference value Delta L between the trial rods at the momentjWherein j is 1,2,3.. i; acquiring a maximum depth deviation value A allowed in a normal stage of the furnace condition of the blast furnace; solving for depth deviation multiple Nj：Nj＝ΔLjA; obtaining the maximum depth deviation multiple Nmax：Nmax＝max{Nj}; obtaining partial material index X1The value of (c): if N is presentmax∈(0,1]When the charge level is flat, and X1M; if N is presentmaxEpsilon [1.0, 1.5)), then slightly material bias, and X1N; if N is presentmax∈(1.5,3.0]Substantially bias the material, and X1P; if N is greater than or equal to 3.0, the material is seriously deviated, and X is1＝q。
In some embodiments, a slump index X is constructed2The method comprises the following steps: if Δ tiApproaches 0 and Δ hiThe material breakage frequency C in the material distribution period of the blast furnace is recorded when the material breakage occurs in the blast furnace and is more than or equal to 1.0 m; if Δ tiApproaching 0 and 1.0m>Δhi>0.5m, when sliding occurs in the blast furnace, recording the sliding times B in the material distribution period of the blast furnace; constructing a slump material index judgment value D: d ═ C × 3+ B; obtaining a slump index X2The value of (c): if D is equal to (0, 1)]The furnace condition is stable, and X2M; if D is within (1,3), the furnace conditions are good, and X2N; if D ∈ [3,6), the furnace conditions are normal, and X2P; if D is greater than or equal to 6, the furnace condition is poor, and X2＝q。
In some embodiments, the method further comprises: in the material distribution period of the blast furnace, materials are cracked by more than or equal to one stock rod, and the value of the material cracking times C is 1; the sliding material occurs on more than or equal to one stock rod, and the value of the sliding material frequency B is 1; and suspension occurs on more than or equal to one stock rod, and the value of the suspension times E is 1.
In some embodiments, build feed uniformity index X4The method comprises the following steps: obtaining the descending speed v of the charge level in the charge period of the blast furnacei：vi＝Δhi/Δti(ii) a Obtaining the corresponding average speed v of blanking when the furnace condition is betterx；Solving the speed deviation multiple Fi：Fi＝vi÷vx；Obtaining the maximum speed deviation multiple Fmax：Fmax＝max{Fi}; obtaining a blanking uniformity index X4The value of (c): if FmaxE (0.8,2), the blanking uniformity is good, and X4M; if Fmax∈(0.5，0.8]Or FmaxE is [2,4 ]), the blanking uniformity is general, and X4N; if Fmax<0.5, the blanking speed is slower, and X is4P; if Fmax>4, the blanking speed is higher, and X4＝q。
In some embodiments, constructing the feed stability index Z comprises: solving a blanking stability index Z: z ═ k × min (X)1,X2,X3,X4) (ii) a Judging the descending uniformity of the blast furnace burden according to the value of Z: judging that the furnace burden has excellent descending uniformity when Z is km; judging that the furnace burden has good descending uniformity when Z is kn; judging that the descending uniformity of the furnace burden is general when Z is kp; and Z is kq, and judging that the downward uniformity of the furnace burden is poor.
In some embodiments, the pre-warning comprises: if the descending uniformity of the furnace burden is judged to be general, the main control system gives out early warning; and if the descending uniformity of the furnace burden is poor, the main control system gives an alarm.
In another aspect of the embodiments of the present invention, there is provided a system for determining and warning downlink uniformity of blast furnace burden, including: a data acquisition module that acquires data and constructs a bias index X from the data1And index of disintegrating and slipping material X2Suspension fingerNumber X3And a blanking uniformity index X4(ii) a An operation judgment module configured to obtain a partial material index X by an operation1And index of disintegrating and slipping material X2Suspension index X3And blanking uniformity index X4And the value of the blanking stability index Z, and judging the descending uniformity of the furnace burden according to the value of Z; and the early warning module carries out early warning based on the fact that the value of the Z exceeds a preset threshold value.
The invention has the following beneficial technical effects:
1. the invention constructs a material bias index X1And index of disintegrating and slipping material X2Suspension index X3And blanking uniformity index X4The blanking stability index Z is used for judging and counting the descending uniformity of the furnace burden of the blast furnace and assisting operators in pre-judging the stability trend of the blast furnace;
2. and the early warning is carried out according to the value of the blanking stability index Z, so that an operator can be reminded of timely correcting the deviation and adjusting the poor furnace condition, the stable and smooth operation of the blast furnace is promoted, and the economic loss or resource waste caused by the fluctuation of the furnace condition of the blast furnace or the abnormality of the furnace condition is reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for judging and warning the descending uniformity of blast furnace burden provided by the invention;
FIG. 2 is a schematic view of a system for determining and warning the descending uniformity of blast furnace burden provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it is to be understood that "first" and "second" are only used for convenience of description and should not be construed as limiting the embodiments of the present invention. Moreover, the terms "comprises" and "comprising," as well as any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements does not include other steps or elements inherent in the present invention.
Based on the above purpose, the first aspect of the embodiment of the present invention provides an embodiment of a method for determining and warning descending uniformity of a blast furnace burden. Fig. 1 is a schematic diagram illustrating an embodiment of a method for determining and warning descending uniformity of blast furnace burden provided by the present invention. As shown in fig. 1, the embodiment of the present invention includes the following steps:
step S1, respectively constructing a partial material index X according to the obtained data in a material distribution period of a blast furnace with at least two stock rods running1And index of disintegrating and slipping material X2Suspension index X3And a blanking uniformity index X4；
Step S2, utilizing X1、X2、X3And X4And constructing a blanking stability index Z to comprehensively judge the descending uniformity of the blast furnace burden, and carrying out early warning when the index Z exceeds a preset threshold value.
In the embodiment, the information such as the operation period, the operation time and the like of the blast furnace stock rod is used as a reference, and the material bias index X is constructed1And index of disintegrating and slipping material X2Suspension index X3And blanking uniformity index X4And the blanking stability index Z, the conditions of blast furnace material collapse, material sliding, material hanging, fast blanking, slow blanking, width deflection and the like are judged and counted, the judgment and the statistics of the descending uniformity of the blast furnace burden are realized, and the stability trend prejudgment of the blast furnace by an operator can be assisted; the early warning is carried out according to the value of the blanking stability index Z, so that an operator can be reminded to correct and adjust the poor condition of the furnace condition in time, and the blast furnace is promotedThe operation is stable and smooth, thereby reducing the economic loss or resource waste caused by the fluctuation or the abnormality of the furnace condition of the blast furnace. The embodiment is suitable for the condition that at least two measuring rods of a blast furnace are used simultaneously.
In some embodiments, the acquired data includes: depth value h of each stock rod in distribution period of blast furnaceiAnd down time delta tiAnd the charge level descending stroke Deltahi：Δhi＝(hi-max-hi-min) Where i denotes the index of each probe, i ═ 1,2,3.. n. In this embodiment, the blast furnace stock rod is an intelligent measuring element for a blast furnace, and the blast furnace stock rod integrates an intelligent digital master controller, a stock rod winch and a direct/alternating current speed regulating system, and is a comprehensive measuring tool. For the data, the data can be automatically collected by sending instructions to a main control system of the stock rod.
In some embodiments, a bias index X is constructed1The method comprises the following steps: obtaining the depth value h of each stock rod at the same moment in the material distribution period of the blast furnacei(ii) a Calculating the difference value Delta L between the trial rods at the momentjWherein j is 1,2,3.. i; acquiring a maximum depth deviation value A allowed in a normal stage of the furnace condition of the blast furnace; solving for depth deviation multiple Nj：Nj＝ΔLjA; obtaining the maximum depth deviation multiple Nmax：Nmax＝max{Nj}; obtaining partial material index X1The value of (c): if N is presentmax∈(0,1]The material surface is smooth and X1M; if N is presentmaxE is [1.0,1.5 ]), then slightly material bias is obtained, and X is1N; if N is presentmax∈(1.5,3.0]Substantially bias the material, and X1P; if N is greater than or equal to 3.0, the material is seriously deviated, and X is1Q. In this example,. DELTA.LjFor the difference of the probes from each other, Δ L, for example, for a blast furnace with three probes operating simultaneously1＝|h1-h2|；ΔL2＝|h1-h3|；ΔL3＝|h2-h3L. For the maximum deviation value A allowed in the normal stage of the furnace condition of the blast furnace, the operation data of the stock rods are exported for a long time in the production process, then the deviation value of each stock rod is calculated, and the production is correspondingly carried out according to the range of the deviation valueAnd (3) obtaining a numerical range of the furnace condition in a normal stage under the condition, and determining a critical value of the numerical range as A if the numerical range exceeds a certain numerical range, thereby causing adverse influence on production. Because in the production process of the blast furnace, the absolute smelting uniformity in the circumferential direction of the blast furnace cannot be realized, the uniformity of the blast furnace blanking is inevitably inconsistent, each stock rod always has certain deviation, and the deviation is allowed within a proper deviation range, and if the deviation exceeds a certain numerical range, large-amplitude material deviation which is not beneficial to the development of the furnace condition occurs.
In some embodiments, a slump index X is constructed2The method comprises the following steps: if Δ tiApproaches 0 and Δ hiThe material breakage frequency C in the material distribution period of the blast furnace is recorded when the material breakage occurs in the blast furnace and is more than or equal to 1.0 m; if Δ tiApproaching 0 and 1.0m>Δhi>0.5m, when sliding occurs in the blast furnace, recording the sliding times B in the material distribution period of the blast furnace; constructing a slump material index judgment value D: d ═ C × 3+ B; obtaining a slump index X2The value of (c): if D is equal to (0, 1)]The furnace condition is stable, and X2M; if D is within (1,3), the furnace conditions are good, and X2N; if D ∈ [3,6), the furnace conditions are normal, and X2P; if D is greater than or equal to 6, the furnace condition is poor, and X2Q. In this embodiment, Δ t is limited by the data acquisition frequency of the production systemiApproaching 0 means Δ ti<For 10 s. The reason why the number of times of charge breakdown C is multiplied by 3 in constructing the charge breakdown index determination value D is that the charge breakdown index X is used because the charge breakdown has a bad influence on the furnace conditions and causes the furnace conditions to be abnormal2The occupied weight of the medium is larger.
In some embodiments, the method further comprises: in the material distribution period of the blast furnace, materials are cracked by more than or equal to one stock rod, and the value of the material cracking times C is 1; the sliding material occurs on one stock rod or more, and the value of the sliding material frequency B is 1; and suspension occurs on more than or equal to one stock rod, and the value of the suspension times E is 1. In this embodiment, in the distribution period of the blast furnace, the occurrence of material breakage, material slipping or material hanging of more than or equal to one probe is recorded as one record.
In some embodiments, build feed uniformity index X4The method comprises the following steps: obtaining the charge level in the charge period of the blast furnaceDownstream velocity vi：vi＝Δhi/Δti(ii) a Obtaining the corresponding average speed v of blanking when the furnace condition is betterx(ii) a Solving the speed deviation multiple Fi：Fi＝vi÷vx(ii) a Obtaining the maximum speed deviation multiple Fmax：Fmax＝max{Fi}; obtaining a blanking uniformity index X4The value of (c): if FmaxE (0.8,2), the blanking uniformity is good, and X4M; if Fmax∈(0.5，0.8]Or FmaxE is [2,4 ]), the blanking uniformity is general, and X4N; if Fmax<0.5, the blanking speed is slower, and X is4P; if Fmax>4, the blanking speed is higher, and X4Q. In the present example, for vxThe average speed of the baiting is obtained by long-time exporting of the running data of the stock rod in the production process and combining the statistics and analysis of the furnace condition, and is set as vx。
In some embodiments, constructing the feed stability index Z comprises: solving a blanking stability index Z: z ═ k × min (X)1,X2,X3,X4) (ii) a Judging the descending uniformity of the blast furnace burden according to the value of Z: judging that the furnace burden has excellent descending uniformity when Z is km; judging that the furnace burden has good descending uniformity when Z is kn; judging that the descending uniformity of the furnace burden is general when Z is kp; and Z is kq, and judging that the downward uniformity of the furnace burden is poor.
In the embodiment of the invention, the material bias index X1Disintegrating material index X2Suspension index X3And a blanking uniformity index X4Different interval values can be given to each index according to the conditions in the actual production process or the indexes can be assigned and calculated by adding weights without being limited to the interval and the judgment standard; for the blanking stability index Z, other expressions can also be constructed as the blanking stability index Z, for example: z is l × X1×X2×X3×X4。
M, n, p and q in the embodiments of the present invention represent scores, and m > n > p > q, for example, m > 1, n > 0.8, p > 0.6, q > 0; k and l represent coefficients, e.g., k 10, l 10; when k is 10, km is 10, kn is 8, kp is 6 and kq is 0. However, the definition or value of m, n, p, q, k, and l may be different depending on the actual situation.
In some embodiments, the pre-warning comprises: if the descending uniformity of the furnace burden is judged to be general, the main control system gives out early warning; and if the descending uniformity of the furnace burden is poor, the main control system gives an alarm.
In the embodiment, through calculation and programming, the computer performs automatic acquisition, automatic judgment, automatic scoring and early warning on the operation parameters under the steps and the judgment rules of the embodiment, performs automatic comprehensive evaluation on the descending uniformity of the blast furnace burden surface, eliminates the interference of human experience, and assists blast furnace operators in correcting the development of the furnace conditions in time in a trend early warning mode.
Example one
The embodiment is applied to trial operation on a blast furnace A, the minimum data acquisition frequency of the blast furnace A is 5s, 3 stock rods are provided, the down period of the charge level is 60-350 s through statistics, the depth of a conventional charge line is 1.8-2.2 m, the maximum value A of the conventional partial charge is 0.15m through statistics, and the average speed v of the normal furnace condition blanking is 0.15mxIs 3 mm/s. The blast furnace blanking speed is v, and v is judged by calculation<0.5mm/s, as a suspension; v. of>1000mm/s, which is a disintegrating material; 50mm/s>v>1000mm/s, as a slip material; v. of<1.5mm/s, the blanking is slow; v. of>12mm/s, the blanking is quick; 12mm/s>v>1.5mm/s, and the blanking is normal. Using Z as 10 Xmin (X)1,X2,X3,X4) For the final value judgment, after data acquisition and operation of one week, 7360 cycle judgment are carried out, and the number of times of Z being 10 minutes is 1104 times, accounting for 15%. The number of times of Z-8 is 5152, which accounts for 75%. The number of times of giving out the early warning when Z is 6 is 1049, which accounts for 14.3%, and the early warning is mostly caused by slow blanking and fast blanking, and is caused by large-amplitude material bias in a few times. The frequency of Z being 0 is 55 times, an alarm is sent out, the proportion accounts for 0.7%, 2 times are misjudged by a single stock rod caliper after the reasons are checked, 51 times are caused by serious material deviation in the reasons of 53 alarms, and the serious material deviation is eliminated by adopting fan-shaped material distribution, fixed-point material distribution and reverse rotation material distribution through a blast furnace;2 times due to the continuous slip occurring on a single rule. Through comparison and analysis with the blast furnace operation condition, the judgment result of the method provided by the embodiment of the invention is consistent with the actual result, and the alarm rate accuracy reaches 95% or more.
Example two
The embodiment is applied to trial operation on a blast furnace B, the minimum data acquisition frequency of the blast furnace B is 5s, 2 stock rods are provided, the down period of the charge level is 60-200 s through statistics, the depth of a conventional charge line is 1.5-1.8 m, the maximum value A of the conventional partial charge is 0.1m through statistics, and the average speed v of the blanking under the normal furnace conditionxIs 5 mm/s. The blast furnace blanking speed is v, and v is judged by calculation<0.5mm/s, suspension; v. of>1000mm/s, which is a disintegrating material; 50mm/s>v>1000mm/s, as a slip material; v. of<2.5mm/s, the blanking is slow; v. of>20mm/s, the blanking is quick; 20mm/s>v>2.5mm/s, and the blanking is normal. Using Z as 10 Xmin (X)1,X2,X3,X4) For the final value judgment, after data acquisition and operation for 1 month, cycle judgment was performed for 32520 times in total, and the number of times of Z-10 min was 7155 times, accounting for 22%. The number of times of Z being 8 is 23415 times, accounting for 72%. The number of times of distributing the early warning when Z is 6 is 1917, the percentage is 5.9%, the early warning is caused by fast blanking when Z is 845 times, the early warning is caused by slow blanking when Z is 735 times, the early warning is caused by large-amplitude material bias when Z is 338 times, and the early warning is eliminated by taking adjustment measures such as air adding and reducing, cloth optimizing and the like. And (3) giving an alarm when the number of times that Z is 0 is 33, wherein the proportion is 0.1%, and the alarm is given 26 times because of serious material deviation, 4 times because of continuous material sliding and 3 times because of the problem of the stock rod lifting mechanism, the false alarm and the furnace condition judgment are inconsistent. Through comparison and analysis with the blast furnace operation condition, the judgment result of the method provided by the embodiment of the invention basically accords with the actual result, and the accuracy of the alarm rate reaches 90% or more.
The second aspect of the embodiment of the invention also provides a judging and early warning system for the descending uniformity of the blast furnace burden. Fig. 2 is a schematic view illustrating an embodiment of a system for determining and warning descending uniformity of blast furnace burden provided by the present invention. The utility model provides a blast furnace charge descends judgement early warning system of homogeneity, includes: data acquisition Module 10, numberThe data acquisition module 10 acquires data and constructs a material bias index X according to the data1Disintegrating material index X2Suspension index X3And a blanking uniformity index X4(ii) a An operation judging module 20, the operation judging module 20 is configured to obtain the partial material index X by operation1And index of disintegrating and slipping material X2Suspension index X3And blanking uniformity index X4And the value of the blanking stability index Z, and judging the descending uniformity of the furnace burden according to the value of Z; and an early warning module 30, wherein the early warning module 30 performs early warning based on the value of Z exceeding a predetermined threshold.
The judging and early warning system for the descending uniformity of the blast furnace burden can automatically judge and count the descending stability of the blast furnace burden through the data acquisition module, the operation judgment module and the early warning module, and assists operators in judging the stability development trend of the blast furnace condition so as to correct deviation in time and promote the stable and smooth running of the blast furnace.
Finally, it should be noted that, as one of ordinary skill in the art can appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program to instruct related hardware, and the program of the method for determining and warning the descending uniformity of the blast furnace burden can be stored in a computer readable storage medium, and when executed, the program can include the processes of the embodiments of the methods described above. The storage medium of the program may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like. The embodiments of the computer program may achieve the same or similar effects as any of the above-described method embodiments.
Furthermore, the methods disclosed according to embodiments of the present invention may also be implemented as a computer program executed by a processor, which may be stored in a computer-readable storage medium. Which when executed by a processor performs the above-described functions defined in the methods disclosed in embodiments of the invention.
Further, the above method steps and system elements may also be implemented using a controller and a computer readable storage medium for storing a computer program for causing the controller to implement the functions of the above steps or elements.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the present disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. Furthermore, although elements of the disclosed embodiments of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
It should be understood that, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly supports the exception. It should also be understood that "and/or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.
The numbers of the embodiments disclosed in the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, of embodiments of the invention is limited to these examples; within the idea of an embodiment of the invention, also technical features in the above embodiment or in different embodiments may be combined and there are many other variations of the different aspects of the embodiments of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present invention are intended to be included within the scope of the embodiments of the present invention.

Claims (4)

1. A blast furnace burden descending uniformity judgment and early warning method is characterized by comprising the following steps:
respectively constructing a partial material index X according to the obtained data in a blast furnace material distribution period with at least two stock rods running1And index of disintegrating and slipping material X2Suspension index X3And a blanking uniformity index X4Wherein the acquired data comprises: the depth value h of each stock rod in the material distribution period of the blast furnaceiDown time Δ tiAnd charge level downstroke Δ hi：Δhi＝(hi-max-hi-min) Wherein i represents the index of each probe, i is 1,2,3.. n;
construction of partial feed index X1The method comprises the following steps:
obtaining the depth value h of each stock rod at the same moment in the material distribution period of the blast furnacei；
Calculating the difference value delta L between the trial rods at the momentjWherein j is 1,2,3.. i;
acquiring a maximum depth deviation value A allowed in a normal stage of the furnace condition of the blast furnace;
solving for depth deviation multiple Nj：Nj＝ΔLj/A；
Obtaining the maximum depth deviation multiple Nmax：Nmax＝max{Nj}；
Obtaining the partial material index X1The value of (c): if N is presentmax∈(0,1]The material surface is smooth and X1M; if N is presentmaxE is [1.0,1.5 ]), then slightly material bias is obtained, and X is1N; if N is presentmax∈(1.5,3.0]If there is a large deviation of material, and X1P; if N is more than or equal to 3.0, the material is seriously biased, and X1＝q；
Construction of a slump index X2The method comprises the following steps:
if Δ tiApproaches 0 and Δ hiThe material breakage frequency C in the material distribution period of the blast furnace is recorded when the material breakage occurs in the blast furnace and is more than or equal to 1.0 m;
if Δ tiApproaches 0 and 1.0m>Δhi>0.5m, when sliding occurs in the blast furnace, recording the sliding times B in the material distribution period of the blast furnace;
constructing a slump material index judgment value D: d ═ C × 3+ B;
obtaining the slump constant index X2The value of (c): if D is equal to (0, 1)]The furnace condition is stable, and X2M; if D is within (1,3), the furnace conditions are good, and X2N; if D ∈ [3,6), the furnace conditions are normal, and X2P; if D is greater than or equal to 6, the furnace condition is poor, and X2＝q；
Build suspension index X3The method comprises the following steps:
if Δ hiApproaches 0 and Δ tiThe suspension time E in the material distribution period of the blast furnace is recorded when the suspension occurs in the blast furnace for more than or equal to 60 seconds;
obtaining the suspension index X3The value of (c): if E<1, the blast furnace is normal, and X3M; if E is not less than 1, the blast furnace is abnormal, and X3＝q；
Construction of Blanking uniformity index X4The method comprises the following steps:
obtaining the descending speed v of the material surface in the material distribution period of the blast furnacei：vi＝Δhi/Δti；
Obtaining the corresponding average speed v of blanking when the furnace condition is betterx；
Solving the speed deviation multiple Fi：Fi＝vi÷vx；
Obtaining the maximum speed deviation multiple Fmax：Fmax＝max{Fi}；
Obtaining the blanking uniformity index X4The value of (c): if FmaxE (0.8,2), the blanking uniformity is good, and X4M; if Fmax∈(0.5，0.8]Or FmaxE is [2,4 ]), the blanking uniformity is general, and X4N; if Fmax<0.5, the blanking speed is slower, and X is4P; if Fmax>4, the blanking speed is higher, and X4＝q；
By using X1、X2、X3And X4The method comprises the steps of constructing a blanking stability index Z to comprehensively judge the descending uniformity of the blast furnace burden, and giving an early warning when the index Z exceeds a preset threshold value, wherein the step of constructing the blanking stability index Z comprises the following steps:
solving the blanking stability index Z: z is k × min (X)1,X2,X3,X4)；
Judging the descending uniformity of the blast furnace burden according to the value of Z: judging that the furnace burden has excellent descending uniformity when Z is km; judging that the furnace burden descending uniformity is good when Z is kn; judging that the descending uniformity of the furnace burden is general when Z is kp; and determining that the descending uniformity of the furnace burden is poor when Z is kq.
2. The method of claim 1, further comprising: in the blast furnace burden distribution period, material breakage occurs in more than or equal to one stock rod, and the value of the material breakage times C is 1; the sliding material occurs on more than or equal to one stock rod, and the value of the sliding material frequency B is 1; and suspension occurs on more than or equal to one stock rod, and the value of the suspension times E is 1.
3. The method of claim 1, wherein the pre-warning comprises:
if the descending uniformity of the furnace burden is judged to be general, the main control system sends out early warning;
and if the descending uniformity of the furnace burden is poor, the main control system gives an alarm.
4. The utility model provides a blast furnace burden descends judgement early warning system of homogeneity which characterized in that includes:
a data acquisition module that acquires data and constructs a bias index X from the data1And index of disintegrating and slipping material X2Suspension index X3And a blanking uniformity index X4Wherein the data comprises: the depth value h of each stock rod in the material distribution period of the blast furnaceiDown time Δ tiAnd the charge level descending stroke Deltahi：Δhi＝(hi-max-hi-min) Wherein i represents the reference number of each probe, i-1, 2,3
Construction of partial feed index X1The method comprises the following steps:
obtaining the depth value h of each stock rod at the same moment in the material distribution period of the blast furnacei；
Calculating the difference value delta L between the trial rods at the momentjWherein j is 1,2,3.. i;
acquiring a maximum depth deviation value A allowed in a normal stage of the furnace condition of the blast furnace;
solving for depth deviation multiple Nj：Nj＝ΔLj/A；
Obtaining the maximum depth deviation multiple Nmax：Nmax＝max{Nj}；
Obtaining the partial material index X1The value of (c): if N is presentmax∈(0,1]The material surface is smooth and X1M; if N is presentmaxE is [1.0,1.5 ]), then slightly material bias is obtained, and X is1N; if N is presentmax∈(1.5,3.0]Substantially bias the material, and X1P; if N is greater than or equal to 3.0, the material is seriously deviated, and X is1＝q；
Construction of a slump index X2The method comprises the following steps:
if Δ tiApproaches 0 and Δ hiThe material breakage frequency C in the material distribution period of the blast furnace is recorded when the material breakage occurs in the blast furnace and is more than or equal to 1.0 m;
if Δ tiApproaching 0 and 1.0m>Δhi>0.5m, when sliding occurs in the blast furnace, recording the sliding times B in the material distribution period of the blast furnace;
constructing a slump material index judgment value D: d ═ C × 3+ B;
obtaining the slump constant index X2The value of (c): if D is equal to (0, 1)]The furnace condition is stable, and X2M; if D is within (1,3), the furnace conditions are good, and X2N; if D ∈ [3,6), the furnace conditions are normal, and X2P; if D is greater than or equal to 6, the furnace condition is poor, and X2＝q；
Build suspension index X3The method comprises the following steps:
if Δ hiApproaches 0 and Δ tiThe suspension time E in the material distribution period of the blast furnace is recorded when the suspension occurs in the blast furnace for more than or equal to 60 seconds;
obtaining the suspension index X3The value of (c): if E<1, the blast furnace is normal, and X3M; if E is not less than 1, the blast furnace is abnormal, and X3＝q；
Construction of Blanking uniformity index X4The method comprises the following steps:
obtaining the descending speed v of the material surface in the material distribution period of the blast furnacei：vi＝Δhi/Δti；
Obtaining the corresponding average speed v of blanking when the furnace condition is betterx；
Solving the speed deviation multiple Fi：Fi＝vi÷vx；
Obtaining the maximum speed deviation multiple Fmax：Fmax＝max{Fi}；
Obtaining the blanking uniformity index X4The value of (c): if FmaxE (0.8,2), the blanking uniformity is good, and X4M; if Fmax∈(0.5，0.8]Or FmaxEpsilon [2, 4)), the blanking uniformity is general, and X4N; if Fmax<0.5, the blanking speed is slower, and X4P; if Fmax>4, the blanking speed is higher, and X4＝q；
An operation judgment module configured to obtain the partial material index X through operation1And index of disintegrating and slipping material X2Suspension index X3And blanking uniformity index X4And judging the descending uniformity of the furnace burden according to the value of the blanking stability index Z, wherein the step of obtaining the blanking stability index Z comprises the following steps:
solving the blanking stability index Z: z ═ k × min (X)1,X2,X3,X4)；
Judging the descending uniformity of the blast furnace burden according to the value of Z: judging that the furnace burden descending uniformity is excellent if Z is km; judging that the furnace burden has good descending uniformity when Z is kn; judging that the descending uniformity of the furnace burden is general when Z is kp; judging that the descending uniformity of the furnace burden is poor when Z is kq; and
and the early warning module carries out early warning based on the fact that the value of the Z exceeds a preset threshold value.
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