WO1996032669A1 - Verfahren zum steuern des wärmebehandlungsprozesses in einer pelletieranlage - Google Patents

Verfahren zum steuern des wärmebehandlungsprozesses in einer pelletieranlage Download PDF

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Publication number
WO1996032669A1
WO1996032669A1 PCT/DE1996/000481 DE9600481W WO9632669A1 WO 1996032669 A1 WO1996032669 A1 WO 1996032669A1 DE 9600481 W DE9600481 W DE 9600481W WO 9632669 A1 WO9632669 A1 WO 9632669A1
Authority
WO
WIPO (PCT)
Prior art keywords
pellets
temperature distribution
calculated
layer
mathematical model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/DE1996/000481
Other languages
German (de)
English (en)
French (fr)
Inventor
Gersch Maisel
Anatoli Butkarjew
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
NPWP TOREKS
Siemens Corp
Original Assignee
Siemens AG
NPWP TOREKS
Siemens Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG, NPWP TOREKS, Siemens Corp filed Critical Siemens AG
Priority to AU49386/96A priority Critical patent/AU696962B2/en
Priority to RU97118425A priority patent/RU2145435C1/ru
Publication of WO1996032669A1 publication Critical patent/WO1996032669A1/de
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D21/00—Control of chemical or physico-chemical variables, e.g. pH value
    • G05D21/02—Control of chemical or physico-chemical variables, e.g. pH value characterised by the use of electric means
    • C—CHEMISTRY; METALLURGY
    • C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
    • C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
    • C22B1/00—Preliminary treatment of ores or scrap
    • C22B1/14—Agglomerating; Briquetting; Binding; Granulating
    • C22B1/16—Sintering; Agglomerating
    • C22B1/20—Sintering; Agglomerating in sintering machines with movable grates
    • C22B1/205—Sintering; Agglomerating in sintering machines with movable grates regulation of the sintering process
    • C—CHEMISTRY; METALLURGY
    • C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
    • C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
    • C22B1/00—Preliminary treatment of ores or scrap
    • C22B1/14—Agglomerating; Briquetting; Binding; Granulating
    • C22B1/24—Binding; Briquetting ; Granulating
    • C22B1/2413—Binding; Briquetting ; Granulating enduration of pellets

Definitions

  • the invention relates to a method for controlling the heat treatment process in a pelletizing plant, in which a material flow consisting of pellets with a predeterminable layer thickness and throughput speed passes through a device for heat treatment of the pellets by means of heated gases, the gas temperature and the gas throughput being adjusted are cash.
  • the object of the invention is to enable optimal control of the heat treatment process in a pelletizing system, the desired quality of the fired pellets being achieved with minimal use of fuel and exhaust gas.
  • the object is achieved in that in the method of the type mentioned in one mathematical model of layer heating, the temperature distribution in the pellet layer based on predetermined and measured process variables relevant for pellet heating, such as in particular the gas temperature before and after passing through the pellet layer, the gas pressure, the throughput speed of the pellets, the layer thickness, the grain size of the Pellets, the packing density of the pellets and / or the moisture of the pellets is calculated, that the calculated temperature distribution is compared with a desired optimum temperature distribution determined on the basis of quality requirements for the pellets after their heat treatment and that by means of an optimization algorithm based on the Mathematical models as a function of the deviation between the temperature distribution calculated by the model and the desired optimal temperature distribution are used to calculate target values for control devices with which actuators influence Solution of the process can be controlled in the sense of minimizing the deviation.
  • predetermined and measured process variables relevant for pellet heating such as in particular the gas temperature before and after passing through the pellet layer, the gas pressure, the throughput speed of the pellets, the layer thickness, the grain size of the Pellets
  • Decisive for the optimal heat treatment of the pellets is the temperature distribution in the pellet layer, which is advantageously calculated both over the length of the material flow and over the layer thickness.
  • This temperature distribution is calculated using the mathematical model on the basis of predeterminable process variables, such as the layer thickness, and measured process variables, such as the temperature of the gas after passing through the pellet layer, the model simulating the heat treatment process. If the calculated temperature distribution, that is to say the temperature distribution which would result from the current setting of the process, deviates from the optimum temperature distribution desired with regard to the quality requirements for the pellets, new setpoints for the parameters are determined using an optimization algorithm using the mathematical model the process regulating devices, ie the individual regulators, for example, for regulating the fuel supply or of the gas throughput in the individual furnace zones.
  • the new setpoints are calculated in such a way that the control of the process with the new setpoints leads to such changes in the measured process variables that a reduction and, as the process progresses, a minimization of the deviation between the temperature curve calculated in the mathematical model and effect the predetermined optimal temperature profile.
  • the further mathematical model can be used to determine the optimal temperature profile in the pellet layer on the basis of the desired optimal quality of the fired pellets and to specify it for the control of the heat treatment process.
  • the quality of the pellets calculated in the further mathematical model as a function of the current process variables and the resulting temperature profile in the pellet layer is compared with a desired optimal quality and that as a function of the quality deviation of the ge desired optimal temperature profile is determined in the pellet layer.
  • the mathematical model simulates the heat treatment process in the pelleting plant.
  • the mathematical see model and / or the further mathematical model as a function of deviations between calculation quantities generated in the course of the calculation processes and corresponding measured process quantities in the sense of minimizing these deviations adaptively adapted to the real process.
  • the predetermined, i.e. initially calculated, packing density of the pellets as a function of the distance between the points at which the temperature of the gas is measured after passing through the pellet layer and the points at which the calculated temperature of the gas after passing through the pellet layer has the same value as the measured gas temperature is corrected.
  • the control of the heat treatment process in the pelletizing plant by means of the mathematical model is preferably carried out from the operating and observation level of a process control system for the pelletizing plant.
  • the heat treatment process optimized via the operating and monitoring level of the process control system is in the process-related level of
  • FIG. 1 shows a block diagram of a process control system for controlling a pelleting plant in accordance with the method according to the invention and FIG. 2 shows an example of the course of the temperature of the gas after passing through the pellet layer over the length of the pelleting plant.
  • 1 schematically shows a traveling grate 1 which is covered with a pellet layer 2 of predeterminable layer thickness and conveys this layer 2 in the direction of arrow 3 through a device 4 for heat treatment of the pellets.
  • the pellets are successively dried by heated or heated gas, preheated, burned and finally cooled by means of cooling gas.
  • the cooling gas heated after passing through the pellet layer 2 is used for drying and preheating the pellets and, after heating by burning fuel, is used to burn or roast the pellets.
  • the heat treatment process in the device 4 is regulated in a process level 5 of the process control system by a control device 6, which comprises a large number of individual controllers for regulating the gas temperature and the gas throughput in the individual zones of the device 4.
  • the control device 6 obtains the measurement values of the process variables required for process control from a measurement detection device 7 which, among other things, has a large number of measurement sensors for measuring the gas temperature before and after passing through the pellet layer 2 and the gas pressure.
  • a predetermined number of process variables relevant for pellet heating are fed to a device 8, in which a statistical preparation of the measured process variables and a calculation of process variables which cannot be measured directly are carried out as a function of other process variables.
  • the measured process variables prepared in this way, together with other, via an input
  • predefined process variables e.g. the layer thickness calculated in advance, a mathematical model
  • the mathematical model 10 calculates the temperature distribution T both over the length 1 of the pellet layer 2 within the heat treatment device 4 as well as over the layer thickness h, the temperature distribution being calculated individually for each individual zone, in particular the drying, heating, burning and cooling zone, of the heat treatment device 4.
  • the temperature distribution T in the pellet layer 2 calculated in this way on the basis of the predetermined and measured process variables is compared in a comparison device 12 with a desired optimal temperature distribution T *, which is stored in the form of tables in a memory 13 .
  • the optimal temperature distribution T * can alternatively be calculated from the desired quality of the fired pellets.
  • setpoint values for the controllers in the control device 6 are recalculated by means of an optimization algorithm 14, possibly with access to the mathematical model 10, and the latter fed.
  • the set values are recalculated in such a way that the temperature distribution T calculated by the mathematical model 10 on the basis of the process variables changing by the process control with the new set values approximates the predetermined optimal temperature distribution T *. wherein the deviation between the calculated temperature distribution T and the predetermined optimal temperature distribution T * is minimized during the process.
  • calculation variables generated by the mathematical model 10 are compared in the course of the calculation processes with corresponding measured process variables in an adaptation algorithm 15, the model parameters being dependent on the deviations thus determined of the mathematical model 10 can be adaptively changed in the sense of minimizing these deviations.
  • the temperature distribution T calculated by the mathematical model 10, together with parameters provided via an input 16, is fed via the chemical composition of the pellets to a further mathematical model 17, which uses this to determine the quality Q of the pellets after the heat treatment process, in particular their Strength, calculated in advance.
  • the quality information thus obtained is visualized on a display device 18 for the operator of the pelletizing system.
  • the desired optimal temperature distribution T * stored in the memory 13 can alternatively be calculated on the basis of the further mathematical model 17, in that the quality Q of the pellets, which is predicted by the further mathematical model 17 for the current process state, in a comparison device 19 a desired optimal pellet quality Q * is compared and the desired optimum temperature distribution T * is determined as a function of the quality deviation using an algorithm 20 which accesses the further mathematical model 17.

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Materials Engineering (AREA)
  • Mechanical Engineering (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Environmental & Geological Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Metallurgy (AREA)
  • Organic Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)
  • Control Of Temperature (AREA)
  • Manufacture And Refinement Of Metals (AREA)
PCT/DE1996/000481 1995-04-10 1996-03-20 Verfahren zum steuern des wärmebehandlungsprozesses in einer pelletieranlage Ceased WO1996032669A1 (de)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU49386/96A AU696962B2 (en) 1995-04-10 1996-03-20 Method of controlling the heat-treatment process in a pelletizing plant
RU97118425A RU2145435C1 (ru) 1995-04-10 1996-03-20 Способ управления процессом термообработки в установке для получения окатышей

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19513547.4 1995-04-10
DE19513547A DE19513547C2 (de) 1995-04-10 1995-04-10 Verfahren zum Steuern des Wärmebehandlungsprozesses in einer Pelletieranlage

Publications (1)

Publication Number Publication Date
WO1996032669A1 true WO1996032669A1 (de) 1996-10-17

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ID=7759375

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DE1996/000481 Ceased WO1996032669A1 (de) 1995-04-10 1996-03-20 Verfahren zum steuern des wärmebehandlungsprozesses in einer pelletieranlage

Country Status (7)

Country Link
AU (1) AU696962B2 (cg-RX-API-DMAC7.html)
DE (1) DE19513547C2 (cg-RX-API-DMAC7.html)
IN (1) IN189632B (cg-RX-API-DMAC7.html)
MX (1) MX9707816A (cg-RX-API-DMAC7.html)
RU (1) RU2145435C1 (cg-RX-API-DMAC7.html)
WO (1) WO1996032669A1 (cg-RX-API-DMAC7.html)
ZA (1) ZA962584B (cg-RX-API-DMAC7.html)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104498706A (zh) * 2014-12-22 2015-04-08 中南大学 一种链篦机-回转窑-环冷机三位一体的球团生产优化方法
CN105087908A (zh) * 2015-08-12 2015-11-25 中冶长天国际工程有限责任公司 一种链篦机-回转窑温度控制方法及装置
CN113457371A (zh) * 2021-07-30 2021-10-01 山西沃能化工科技有限公司 一种焦炉气tsa除杂再生气回收利用方法及装置

Families Citing this family (9)

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Publication number Priority date Publication date Assignee Title
AT407993B (de) 1999-03-03 2001-07-25 Voest Alpine Ind Anlagen Verfahren zur optimierung von auslegung und betrieb eines reduktionsverfahrens
JP2004512607A (ja) * 2000-10-18 2004-04-22 ウルトラ　プロイズヴォドニャ　エレクトロンスキ　ナプラウ　デー．オー．オー． 支払いデータ交換システム及びそのシステムにて用いられる支払い端末装置
RU2229074C1 (ru) * 2003-02-13 2004-05-20 ООО "Научно-производственное внедренческое предприятие ТОРЭКС" Способ управления процессом обжига окатышей на конвейерной машине
RU2247422C1 (ru) * 2004-05-13 2005-02-27 Белгородский государственный технологический университет (БГТУ им. В.Г. Шухова) Система автоматического регулирования отопления здания с учетом климатических факторов
RU2287174C1 (ru) * 2005-04-05 2006-11-10 Белгородский государственный технологический университет им. В.Г. Шухова (БГТУ им. В.Г. Шухова) Система автоматического регулирования отопления здания с учетом его фасадов (ее варианты)
RU2287789C1 (ru) * 2005-04-18 2006-11-20 Виктор Викторович Давыдов Способ поквартирного учета расхода тепловой энергии
RU2284563C1 (ru) * 2005-05-11 2006-09-27 Белгородский государственный технологический университет им. В.Г. Шухова (БГТУ им. В.Г. Шухова) Система автоматического регулирования отопления по двум фасадам здания с теплообменником
DE102005026363A1 (de) * 2005-06-07 2006-12-14 Siemens Ag Verfahren zur Steuerung der Leistung von der Röstmaschine zum Brennen der Eisenerzpellets
RU2443984C1 (ru) * 2010-10-13 2012-02-27 Общество с ограниченной ответственностью "Хабаровская электротехническая компания" (ООО "ХЭТК") Теплосчетчик (устройство) узла учета тепловой энергии в условиях эксплуатации помещения с повышенным риском опасности

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US3346912A (en) * 1962-01-02 1967-10-17 Phillips Petroleum Co Method and apparatus to control the temperature of a wet pellet dryer
US4975827A (en) * 1988-03-17 1990-12-04 Kabushiki Kaisha Toshiba Optimized process control method and apparatus therefor
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EP0541982A1 (de) * 1991-11-12 1993-05-19 Transtec Verfahren zur Steuerung eines Tunnelofens

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US4975827A (en) * 1988-03-17 1990-12-04 Kabushiki Kaisha Toshiba Optimized process control method and apparatus therefor
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104498706A (zh) * 2014-12-22 2015-04-08 中南大学 一种链篦机-回转窑-环冷机三位一体的球团生产优化方法
CN105087908A (zh) * 2015-08-12 2015-11-25 中冶长天国际工程有限责任公司 一种链篦机-回转窑温度控制方法及装置
CN113457371A (zh) * 2021-07-30 2021-10-01 山西沃能化工科技有限公司 一种焦炉气tsa除杂再生气回收利用方法及装置

Also Published As

Publication number Publication date
DE19513547C2 (de) 2003-04-10
DE19513547A1 (de) 1996-10-17
MX9707816A (es) 1998-08-30
RU2145435C1 (ru) 2000-02-10
AU4938696A (en) 1996-10-30
AU696962B2 (en) 1998-09-24
ZA962584B (en) 1996-10-03
IN189632B (cg-RX-API-DMAC7.html) 2003-04-05

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