THE REALISATION OF SYSTEM OF INDIRECT MEASUREMENT TEMPERATURE IN LD CONVERTER

Transcription

1 Iteratioal Carpathia Cotrol Coferece ICCC 00 MALENOVICE, CZECH REPUBLIC May 7-30, 00 THE REALISATION OF SYSTEM OF INDIRECT MEASUREMENT TEMPERATURE IN LD CONVERTER Gabriel TRÉFA 1 ad Karol KOSTÚR 1 Departmet of Applied Iformatics ad Cotrol, BERG Faculty Techical Uiversity of Košice Košice, Slovak Republic, 1 Gabriel.Trefa@post.sk, Karol.Kostur@tuke.sk Abstract: The mai theme of my work was realisatio hardware ad software solutio for system of idirect measuremet temperature. Durig the desig process we are solved partial problems coupled with assurace cosistet iput data ecessary for settig parameters of predictio model. Implemetatio assistat fuctios as: Diagostic fuctio, Filterig fuctio, Upgradig fuctio. We solved these problems coupled with system realisatio. System safety ad cotiuous ruig is guarateed hardware desig ad supported by software realisatio of system. Key words: idirect measuremet, LD process, filterig, upgradig, diagostic. 1 Itroductio At the preset time i the world is ot kow existece of same system of idirect measuremet temperature of metal i LD coverter (SNMT), which is based o ormally measurable techological variables like temperature of coverter gas, blast of coverter gas, cocetratio CO ad CO i coverter gas, iitial temperature ad compositio of pig iro, etc. ad it ca measurig (idirect) temperature of metal i coverter. [LACIAK M. 001] Durig the project Mathematical modellig of steelmakig processes i year 000 esued idea created SNMT as oe of project outputs by thik tak of Departmet of applied iformatic ad process cotrol. System of idirect measuremet temperature of metal i LD coverter is based o model of idirect measuremet, which has followig structure: 93

2 T ( k + 1) = a10 11 ( k ) 1 % C ( k ) 13 l ( k ) 14 ( k ) + (1) % CO ( k ) % CO ( k ) v ( k ) V ( k ) % C ( k + 1) = a 0 1 ( k ) % C ( k ) 3 l ( k ) 4 ( k ) + () % CO ( k ) % CO ( k ) v ( k ) V ( k ) Tl ( k + 1) = a ( k ) 3 % C ( k ) 33 l ( k ) 34 ( k ) + (3) % CO ( k ) % CO ( k ) v ( k ) V ( k ) T ( k + 1) = a ( k ) 4 % C ( k ) 43 l ( k ) 44 ( k ) + (4) % CO ( k ) % CO ( k ) v ( k ) V ( k ) % CO ( k + 1) = a ( k ) 5 % C ( k ) 53 l ( k ) 54 ( k ) + (5) % CO ( k ) % CO ( k ) v ( k ) V ( k ) % CO ( k + 1) = a ( k ) 6 % C ( k ) 63 l ( k ) 64 ( k ) + (6) % CO ( k ) % CO ( k ) v ( k ) V ( k ) where: a ij parameters of predictio model, T temperature of metal [ C], %C % cotes of carbo [%],Tl blast of ustio [Pa], T temperature of ustio [ C], %CO % cotes of CO i ustio [%], %CO % cotes of CO i ustio [%], v lace height [cm], V O oxyge flow [m 3 /mi], k- time step. For this predictio model we must solved esurig cosistet iput data i software realizatio of SNMT. [KOSTÚR K., LACIAK M. 001] Software realizatio of SNMT All software products coupled with software realizatio SNMT was developed i Borlad Turbo Pascal ad Delphi 5. Durig the desig process we are solved partial problems coupled with assurace cosistet iput data ecessary for settig parameters of predictio model. Implemetatio assistat fuctios as: - Diagostic fuctio - Filterig fuctio - Upgradig fuctio O O O O O O.1 Diagostic of correct iput data 1. Archivig error messages. For every violece of techological rages rise error messages, which are showig i bottom of scree ad at the same time they are wrote i file with umber of melt ad actual time or cycle of melt.. Verificatio of high ad low rage of iput data. Both rage was assiged as maximum + 5 % ad miimum -5% (if miimum value is zero, the low rage is equal miimum) of measured data durig year. Beside this verificatio, dyamic data are testig as rate of chage measurig values i.e. deltas (differece) two cosecutive cycles of data. 94

3 3. Idetificatio reasos missig data. Whe the computer is o SNMT automatical ruig ad at the same time writig date ad time i file whe he was restarted. The system has ow timer, which i time iterval oe miute writig date ad time. This timer is used for idetificatio ruig SNMT. If ay value of variables is missig, we ca fid if the compute was o. 4. Secudum settig missig data. If ay value is t comig or it is iside of techological rage the is possible alterate creatig ew value. Cocept value is t comig we uderstad such evet, whe i some telegram is ay value of variable equal zero ad it is t possible techological (e.g. %C = 0 [%]). I this example, it is static variable ad we ca substitute value of this variable average value ad if it is dyamic variable we eed separate which rage is break. If is break low rage the value of variable is equal low rage or if break high rage the value of variable is equal high rage.. Filterig iput date Automatic filter for iput data is based o priciple lookig for positio of static or dyamic variables i choices rage < A, B >. Where A is miimal value of variable ad B is maximal value of variable, which is tolerated. It s meas, for all variables we are defied rages where every values must by iside of rage. If iput data is ot iside of rage, algorithm for estimatig static or dyamic value is differet. For static variables are strictly defied values which are assigmet ito these variables. For dyamic variables is value calculated as average value from few ext values. Algorithm of filterig iput date is showed figure 1..3 Upgradig of Data After aalyze of dyamic variables, maily by temperature ad blast of coverter gas was detected, at the begiig of coverter process i some melts was those variables wrog measured. It was probably form reaso previous itesive blowig or soft blowig. Ad for those problems we are resolved makig regeeratio iitial measured values based o ext measurig values. For upgrade first te values we are desiged this algorithm: calculatig average value x i= abs(x i i= xi = (7) i+ 1 x ) i calculatig xi = (8) calculatig ew regeeratio value x = x x (9) i j for j=1 ad for i=/,, accout is repeated from poit oe. i 95

4 Start legth <N,M> S < A,B> ErrorMelt S=Def.value I=1,legth D[I] <G,H> I=1 1<I< legth I = legth D[I]=( D[I+1]+D[I+])/ D[I]=( D[I-1] +D[I+1])/ D[I]=( D[I-1] +D[I-])/ D[I] <G,H> D[I] <G,H> J=I,0 P=legth-I Sum=Sum+D[J] P<=0 Pom=Sum/0 Pom <G,H> J=I,I+P Sum=Sum+D[J] J=I,I+0 Sum=Sum+D[J] D[I]=Pom ErrorMelt P<=0 Pom=Sum/P Pom=Sum/0 Pom <G,H> D[I]=Pom ErrorMelt Ed Figure 1. Scheme of filterrig iput data 96

5 where: legth - umber of value for dyamic variable D[I], A - miimal umber of value for dyamic variable, M - maximal umber of value for dyamic variable, D[I] - field of dyamic variable,s - static variable, A - miimal value of static variable, B - maximal value of static variable, G - miimal value of dyamic variable, H - maximal value of dyamic variable, Pom - artificial variable, P - artificial variable, ErrorMelt - procedure which is called whe melt is erroeous, I, J- idex of dyamic field. 4 Hardware realizatio SNMT The mai target of SNMT is esured almost 100% reliability. Additios of SNMT we are seeig i elimiatio those problems: - uadequate date (described i part ) - hardware breakdow ( secod computer take over his fuctios) Fuctio whose SNMT executig are: - optimalizatio of parameters - upgrade of parameters - idirect measuremet - adaptive system SNMT will realizatio o two computers. The commuicatio withi both computers will based o TCP/IP protocol architecture Cliet Server. Iput date arrives by serial lik ito the Server. [KOSTÚR K., LACIAK M., TRÉFA G. 001] At those restricts we are desiged this hardware solutio, which esured cotiuous ruig of this system i the evet of if oe of both computers brokedow. Solutio is based o used automatical or maual switches ad special graphic card, which makes it possible at the same time showig o two moitors. (figure ). Moitor 1 S W I T C H Moitor PC1 LAN PC Modem (MINI 1.1/CL) O SWITCH Off Figure. Scheme of hardware solutio of SNMT 97

6 I stadard state, whe both computers are ruig, coectio is off. I case if oe of both computers broke dow, secod computer will showig SNMT o both scree curretly. For coectio moitor 1 ad moitor we eed build two switches ad we will switchig feed moitors from PC1 or PC. For this coectio we ca used programmig or maual switches. Detail of this coectio is showed i figure 3. Moitor 1 A A B Switch A B Switch Moitor B PC1 PC Figure 3. Scheme of crros coectio moitors Coclusio I this paper we are preseted problems coupeled with assurace cosistet iput data ecessary for settig parameters of predictio model, which is base of SNMT. Ad ext we are preseted fuctio, which we are used at realizatio SNMT, for example diagostic, filterrig ad upgradig. I secod part of paper we showed hardware solutio of SNMT. We are disiged this solutio with it esured requiremets, like safety ad cotiuous ruig of this system. Ackowledgemets This work was portially supported by grad VEGA 1/7099/0 from the Slovak Grad Agecy for Sciece. Refereces KOSTÚR K., LACIAK M., TRÉFA G. 001, System of idirect measuremet temperature of metal i coverter (research report), Košice, 001,18 pp. KOSTÚR K., LACIAK M. 001, Models for predictio of LD process, I Iteratioal Carpathia Cotrol Coferece 001,Kryica, Polad: AGH Krakow, 001, pp ISBN LACIAK M. 001, Predictio model of LD coverter, I Iteratioal Coferece ASIS 001,Velké Losiy, Czech Republic, 001, pp ISBN