CN116622977A - Control method for heating furnace billet temperature rising process based on double target tracks - Google Patents
Control method for heating furnace billet temperature rising process based on double target tracks Download PDFInfo
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- CN116622977A CN116622977A CN202310236290.9A CN202310236290A CN116622977A CN 116622977 A CN116622977 A CN 116622977A CN 202310236290 A CN202310236290 A CN 202310236290A CN 116622977 A CN116622977 A CN 116622977A
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000000630 rising effect Effects 0.000 title claims abstract description 15
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 61
- 239000010959 steel Substances 0.000 claims abstract description 61
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 13
- 230000033764 rhythmic process Effects 0.000 abstract description 5
- 238000004886 process control Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 abstract description 3
- 230000009977 dual effect Effects 0.000 abstract 1
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010792 warming Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
Classifications
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D9/00—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
- C21D9/70—Furnaces for ingots, i.e. soaking pits
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D11/00—Process control or regulation for heat treatments
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a heating furnace billet temperature rising process control method based on double target tracks, which comprises the following steps: s1: generating a core target heating track and a surface target heating track of the billet aiming at the position in the furnace; s2: tracking the actual temperature of the billet; s3: calculating a target steel Wen Piancha of the furnace section according to the target temperature deviation of the billet in the furnace section; s4: and calculating the optimal furnace temperature of the furnace section based on the target steel temperature deviation of the core part of each furnace section and the target steel temperature deviation of the surface. The invention can realize the dual control purposes of ensuring the quality of the steel to be burned and reducing the production cost, eliminate the negative influence of frequent fluctuation of the production rhythm on the control effect of the billet heating process, and realize the effective control of the billet heating process.
Description
Technical Field
The invention belongs to the technical field of heating furnace optimal control, and particularly relates to a heating furnace billet temperature rising process control method based on a double-target track.
Background
At present, a heating furnace optimal control system commonly used in China mostly adopts a billet heating process under a certain constraint condition as a target heating track for tracking the temperature deviation of the billet. Since the target warming trajectory is related to the production rhythm, it is necessary to assume that the constraint condition is that the production rhythm is stable within a certain time, otherwise the reference meaning of the target warming trajectory is doubtful.
When the system adopts the temperature rising process of the core part of the steel billet as a target temperature rising track, a large hysteresis characteristic is provided between the general furnace temperature change and the core part temperature of the steel billet. The current simple solution is to increase the control period beyond the system lag time. However, one of the purposes of process control is to reduce production costs, and excessive control cycles make the system insensitive to changes in production cadence, which makes it difficult to meet energy conservation objectives. In addition, in the production process, the steel billet is usually in a moving state, so that a furnace temperature setting mechanism based on the current steel billet temperature has a plurality of uncertainties, and the control effect is difficult to meet the design requirement.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a control method for the heating process of the steel billet of the heating furnace based on double target tracks, which can achieve the double control purposes of ensuring the quality of the burnt steel and reducing the production cost, eliminate the negative influence of frequent fluctuation of the production rhythm on the control effect of the heating process of the steel billet, and realize the effective control of the heating process of the steel billet.
The invention adopts the technical proposal for solving the technical problems that:
a heating furnace billet temperature rising process control method based on double target tracks comprises the following steps:
s1: generating a core target heating track and a surface target heating track of the billet aiming at the position in the furnace;
s2: tracking the actual temperature of the billet;
s3: calculating a target steel Wen Piancha of the furnace section according to the target temperature deviation of the billet in the furnace section;
s4: and calculating the optimal furnace temperature of the furnace section based on the target steel temperature deviation of the core part of each furnace section and the target steel temperature deviation of the surface.
Further, the billet target temperature calculation model for generating the billet core target temperature increase trajectory and the surface target temperature increase trajectory in step S1 is as follows:
wherein the method comprises the steps of，T max Is the upper temperature limit of the furnace section; t (T) min Is the lower limit temperature of the furnace section; a is a furnace temperature median coefficient, and the value range of a is between 0 and 1; p is the position of the billet in the furnace section; t (T) aim-env (p) is the ambient temperature of the billet at the current position; f (f) env As a function of ambient temperature; l is the length of the furnace section; t (T) aim (p) is the target temperature of the billet at the current position; f (f) m As a function of the general temperature field; t (T) aim (p-L/t min ) The target temperature of the billet in the previous position; t is t min Is the minimum heating time.
Further, the tracking model used for tracking the actual temperature of the billet in step S2 is shown in the following formula:
wherein p is the position of the billet in the furnace section; t (T) env (p) is the ambient temperature of the billet at the current position; t (T) furnace Is the actual temperature of the furnace section; l is the length of the furnace section; f (f) env As a function of ambient temperature; t (T) slab (t+Δt, p) is the temperature field value of the billet at the next time; f (f) m As a function of the general temperature field; t (T) slab (t, p) is the temperature field value of the current billet; t is the current time and Δt is the time increment.
Further, in step S3, a calculation model of the target steel temperature deviation of the furnace section is shown as follows:
wherein the position of the p billet in the furnace section; t (T) slab-diff (T, p) is the temperature deviation of the billet at the current position, T slab (t, p) is the temperature field value of the current billet; t (T) aim-env (p) is the ambient temperature of the billet at the current position; t (T) m (q) is q furnace section billet target temperature deviation algebraic sum; l (L) up The upper limit of the length L of the q furnace sections; l (L) low The lower limit of the length L of the q furnace sections; t (T) d (q) is the algebraic sum of target temperature deviation weights of q furnace section billets, T furnace-diff (q) is q furnaceSegment weighted target steel temperature deviation.
Further, the calculation algorithm of the optimal furnace temperature of the furnace section in the step S4 is shown as the following formula:
wherein T is furnace-diff (q) target steel Wen Piancha for q furnace segments weighting; t (T) C-diff (q) core target steel Wen Piancha, which is q furnace section weighted average; t (T) s-diff (q) surface steel Wen Piancha, which is a q-furnace section weighted average; t (T) up (q) is the upper limit of the core steel temperature deviation allowed by the q furnace sections; t (T) low (q) is the lower limit of the core steel temperature deviation allowed by the q furnace sections; g 1 (-) and G 2 (.) is the mapping function of steel temperature deviation to furnace temperature increment; cycle (Cycle) control A control period set for the furnace temperature; t (T) setup Is a furnace temperature set value; cycle (Cycle) long And Cycle short And setting and controlling a long period and a short period for the furnace temperature respectively.
Further, the furnace temperature is set and controlled to be in a long period Cycle long The value is 15 minutes; short Cycle of furnace temperature setting control short The value was 1 minute.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts the double-target heating track generation method based on the temperature of the core part of the steel billet and the temperature of the surface of the steel billet in the heating process, and can achieve the double control purposes of ensuring the quality of the burnt steel and reducing the production cost: the core part target temperature rising track can ensure the quality of the burnt steel to be ensured, and the surface target temperature rising track can balance larger hysteresis between the change of the furnace temperature and the core part temperature of the steel billet, so that the increase of the production cost caused by the adoption of an excessive control period is avoided;
the method for calculating the target steel temperature deviation of each furnace section based on the target steel temperature difference of the steel billet maximally eliminates the influence of the model deviation on the rationality of the furnace temperature setting, realizes the direct correlation between the steel billet temperature deviation and the furnace temperature, and achieves the control aim of effectively controlling the steel billet temperature rising process.
Based on an optimal furnace temperature setting mechanism of core part target steel temperature deviation and surface target steel temperature deviation of each furnace section, the negative influence of frequent fluctuation of production rhythm on the production process of the heating furnace can be eliminated, especially the automatic switching of the surface steel temperature deviation and the core part steel temperature deviation can be realized, and the over-burning problem caused by long-time unplanned furnace shutdown can be effectively solved.
Detailed Description
The following description of the present invention will be made clearly and fully, and it is apparent that the embodiments described are some, but not all, of the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
The control method for the heating furnace billet temperature rising process based on the double target tracks specifically comprises the following steps:
1. and generating a core target heating track and a surface target heating track aiming at a certain variety and specification of billets by using a billet target temperature calculation model according to a billet heating system comprising upper and lower furnace section temperature limits and heating time. The billet target temperature calculation model is shown in the formula (1-1).
Wherein T is max Is the upper temperature limit of the furnace section; t (T) min Is the lower limit temperature of the furnace section; a is a furnace temperature median coefficient, and the value range of a is between 0 and 1; p is the position of the billet in the furnace section; t (T) aim-env (p) is the ambient temperature of the billet at the current position; f (f) env As a function of ambient temperature; l is the length of the furnace section; t (T) aim (p) is the target temperature of the billet at the current position; f (f) m As a function of the general temperature field; t (T) aim (p-L/t min ) The target temperature of the billet in the previous position; t is t min Is the minimum heating time.
2. Tracking the actual temperature of the billet. The actual temperature tracking model is shown in the formula 2-1.
Wherein p is the position of the billet in the furnace section; t (T) env (p) is the ambient temperature of the billet at the current position; t (T) furnace Is the actual temperature of the furnace section; l is the length of the furnace section; f (f) env As a function of ambient temperature; t (T) slab (t+Δt, p) is the temperature field value of the billet at the next time; f (f) m As a function of the general temperature field; t (T) slab (t, p) is the temperature field value of the current billet; t is the current time and Δt is the time increment.
3. And calculating the target steel temperature deviation of the furnace section according to the target temperature deviation of the steel billet in the furnace section. The calculation model of the target steel temperature deviation of the furnace section is shown in a formula (3-1).
Wherein, the position of the p billet in the furnace section; t (T) slab-diff (T, p) is the temperature deviation of the billet at the current position, T slab (t, p) is the temperature field value of the current billet; t (T) aim-env (p) is the ambient temperature of the billet at the current position; t (T) m (q) is q furnace section billet target temperature deviation algebraic sum; l (L) up The upper limit of the length L of the q furnace sections; l (L) low The lower limit of the length L of the q furnace sections; t (T) d (q) is the algebraic sum of target temperature deviation weights of q furnace section billets, T furnace-diff (q) is q furnace section weighted target steel temperature deviations.
4. The optimal furnace temperature of the furnace section is calculated by using a double-target track algorithm based on the target steel temperature deviation of the core part of each furnace section and the target steel temperature deviation of the surface, and the algorithm is as shown in (4-1).
Wherein T is furnace-diff (q) target steel Wen Piancha for q furnace segments weighting; t (T) C-diff (q) core target steel Wen Piancha, which is q furnace section weighted average; t (T) s-diff (q) surface steel Wen Piancha, which is a q-furnace section weighted average; t (T) up (q) is the upper limit of the core steel temperature deviation allowed by the q furnace sections; t (T) low (q) is the lower limit of the core steel temperature deviation allowed by the q furnace sections; g 1 (-) and G 2 (.) is the mapping function of steel temperature deviation to furnace temperature increment; cycle (Cycle) control A control period set for the furnace temperature; t (T) setup Is a furnace temperature set value; cycle (Cycle) long And Cycle short And setting and controlling a long period and a short period for the furnace temperature respectively. Furnace temperature setting control long period Cycle long The value is 15 minutes; short Cycle of furnace temperature setting control short The value was 1 minute.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (6)
1. The control method for the heating process of the heating furnace billet based on the double target tracks is characterized by comprising the following steps:
s1: generating a core target heating track and a surface target heating track of the billet aiming at the position in the furnace;
s2: tracking the actual temperature of the billet;
s3: calculating a target steel Wen Piancha of the furnace section according to the target temperature deviation of the billet in the furnace section;
s4: and calculating the optimal furnace temperature of the furnace section based on the target steel temperature deviation of the core part of each furnace section and the target steel temperature deviation of the surface.
2. The method according to claim 1, wherein the billet target temperature calculation model for generating the billet core target temperature increase trace and the surface target temperature increase trace in step S1 is represented by the following formula:
wherein T is max Is the upper temperature limit of the furnace section; t (T) min Is the lower limit temperature of the furnace section; a is a furnace temperature median coefficient, and the value range of a is between 0 and 1; p is the position of the billet in the furnace section; t (T) aim-env (p) is the ambient temperature of the billet at the current position; f (f) env As a function of ambient temperature; l is the length of the furnace section; t (T) aim (p) is the target temperature of the billet at the current position; f (f) m As a function of the general temperature field; t (T) aim (p-L/t min ) The target temperature of the billet in the previous position; t is t min Is the minimum heating time.
3. The control method for the temperature rising process of a billet in a heating furnace based on a dual-target track according to claim 2, wherein the tracking model for tracking the actual temperature of the billet in step S2 is represented by the following formula:
wherein p is the position of the billet in the furnace section; t (T) env (p) is the ambient temperature of the billet at the current position; t (T) furnace Is the actual temperature of the furnace section; l is the length of the furnace section; f (f) env As a function of ambient temperature; t (T) slab (t+Δt, p) is the temperature field value of the billet at the next time; f (f) m As a function of the general temperature field; t (T) slab (t, p) is the temperature field value of the current billet; t is the current time and Δt is the time increment.
4. The control method for the temperature rising process of the steel billet of the heating furnace based on the double target tracks as claimed in claim 3, wherein the calculation model of the target steel temperature deviation of the furnace section in the step S3 is as follows:
wherein the position of the p billet in the furnace section; t (T) slab-diff (T, p) is the temperature deviation of the billet at the current position, T slab (t, p) is the temperature field value of the current billet; t (T) aim-env (p) is the ambient temperature of the billet at the current position; t (T) m (q) is q furnace section billet target temperature deviation algebraic sum; l (L) up The upper limit of the length L of the q furnace sections; l (L) low The lower limit of the length L of the q furnace sections; t (T) d (q) is the algebraic sum of target temperature deviation weights of q furnace section billets, T furnace-diff (q) is q furnace section weighted target steel temperature deviations.
5. The control method for the temperature rising process of a heating furnace billet based on double target trajectories according to claim 4, wherein the calculation algorithm of the optimal furnace temperature of the furnace section in step S4 is as follows:
wherein T is furnace-diff (q) target steel Wen Piancha for q furnace segments weighting; t (T) C-diff (q) core target steel Wen Piancha, which is q furnace section weighted average; t (T) s-diff (q) surface steel Wen Piancha, which is a q-furnace section weighted average; t (T) up (q) is the upper limit of the core steel temperature deviation allowed by the q furnace sections; t (T) low (q) is the lower limit of the core steel temperature deviation allowed by the q furnace sections; g 1 (-) and G 2 (.) is the mapping function of steel temperature deviation to furnace temperature increment; cycle (Cycle) control A control period set for the furnace temperature; t (T) setup Is a furnace temperature set value; cycle (Cycle) long And Cycle short And setting and controlling a long period and a short period for the furnace temperature respectively.
6. The control method for heating furnace billet temperature rising process based on double target tracks according to claim 5Characterized in that the furnace temperature is set and controlled to be in a long period Cycle long The value is 15 minutes; short Cycle of furnace temperature setting control short The value was 1 minute.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62280323A (en) * | 1986-05-29 | 1987-12-05 | Kobe Steel Ltd | Heat treatment of metallic material |
| JPH0867918A (en) * | 1994-06-20 | 1996-03-12 | Kobe Steel Ltd | Method for deciding furnace temperature in continuous type heating furnace |
| JPH09268328A (en) * | 1996-04-02 | 1997-10-14 | Toshiba Corp | Temperature controller for continuous heating furnace |
| JP2000248315A (en) * | 1999-03-01 | 2000-09-12 | Nkk Corp | Method for heating steel material |
| KR20030055372A (en) * | 2001-12-24 | 2003-07-04 | 주식회사 포스코 | Combution control apparatus in heating furnace |
| JP2012026011A (en) * | 2010-07-26 | 2012-02-09 | Nippon Steel Corp | Method for determining furnace temperature of continuous heat treating furnace |
| KR101706251B1 (en) * | 2015-11-09 | 2017-02-14 | 부산대학교 산학협력단 | Apparatus and method for measuring thermal conductivity |
| CN108984943A (en) * | 2018-08-01 | 2018-12-11 | 中冶南方（武汉）热工有限公司 | Heating furnace steel billet temperature trace model modification method |
| CN112214052A (en) * | 2019-07-09 | 2021-01-12 | 于政军 | Furnace temperature autonomous control system framework based on heating furnace process control target |
| CN115141926A (en) * | 2022-06-23 | 2022-10-04 | 大连新瑞晨自动化科技有限公司 | Billet target temperature rise curve generation method for guiding billet heating process control |
| CN115203903A (en) * | 2022-06-23 | 2022-10-18 | 大连新瑞晨自动化科技有限公司 | Temperature state evaluation method based on billet target temperature rise process |
| CN115449621A (en) * | 2022-08-05 | 2022-12-09 | 北京首钢自动化信息技术有限公司 | Control method for temperature setting of heating furnace |
-
2023
- 2023-03-13 CN CN202310236290.9A patent/CN116622977B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS62280323A (en) * | 1986-05-29 | 1987-12-05 | Kobe Steel Ltd | Heat treatment of metallic material |
| JPH0867918A (en) * | 1994-06-20 | 1996-03-12 | Kobe Steel Ltd | Method for deciding furnace temperature in continuous type heating furnace |
| JPH09268328A (en) * | 1996-04-02 | 1997-10-14 | Toshiba Corp | Temperature controller for continuous heating furnace |
| JP2000248315A (en) * | 1999-03-01 | 2000-09-12 | Nkk Corp | Method for heating steel material |
| KR20030055372A (en) * | 2001-12-24 | 2003-07-04 | 주식회사 포스코 | Combution control apparatus in heating furnace |
| JP2012026011A (en) * | 2010-07-26 | 2012-02-09 | Nippon Steel Corp | Method for determining furnace temperature of continuous heat treating furnace |
| KR101706251B1 (en) * | 2015-11-09 | 2017-02-14 | 부산대학교 산학협력단 | Apparatus and method for measuring thermal conductivity |
| CN108984943A (en) * | 2018-08-01 | 2018-12-11 | 中冶南方（武汉）热工有限公司 | Heating furnace steel billet temperature trace model modification method |
| CN112214052A (en) * | 2019-07-09 | 2021-01-12 | 于政军 | Furnace temperature autonomous control system framework based on heating furnace process control target |
| CN115141926A (en) * | 2022-06-23 | 2022-10-04 | 大连新瑞晨自动化科技有限公司 | Billet target temperature rise curve generation method for guiding billet heating process control |
| CN115203903A (en) * | 2022-06-23 | 2022-10-18 | 大连新瑞晨自动化科技有限公司 | Temperature state evaluation method based on billet target temperature rise process |
| CN115449621A (en) * | 2022-08-05 | 2022-12-09 | 北京首钢自动化信息技术有限公司 | Control method for temperature setting of heating furnace |
Non-Patent Citations (4)
| Title |
|---|
| 刘日新;宁宝林;: "钢坯连续加热炉计算机在线控制数学模型", 昆明理工大学学报(理工版), no. 03 * |
| 柏忠帅: "推钢式方坯加热过程优化控制", 《信息科技》, no. 02, pages 1 * |
| 段鹰;林涛;段文泽;: "逆推法实现轧钢加热炉的优化控制", 重庆大学学报(自然科学版), no. 08 * |
| 陆需飞;: "一种加热炉温度设定的自适应控制策略", 冶金自动化, no. 01 * |
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