JPS6345453B2 - - Google Patents
Info
- Publication number
- JPS6345453B2 JPS6345453B2 JP22847585A JP22847585A JPS6345453B2 JP S6345453 B2 JPS6345453 B2 JP S6345453B2 JP 22847585 A JP22847585 A JP 22847585A JP 22847585 A JP22847585 A JP 22847585A JP S6345453 B2 JPS6345453 B2 JP S6345453B2
- Authority
- JP
- Japan
- Prior art keywords
- furnace
- heat transfer
- strip
- heating zone
- temperature
- 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.)
- Expired
Links
- 238000010438 heat treatment Methods 0.000 claims description 39
- 238000012546 transfer Methods 0.000 claims description 30
- 238000000137 annealing Methods 0.000 claims description 22
- 230000005856 abnormality Effects 0.000 claims description 16
- 230000006866 deterioration Effects 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 description 14
- 230000007423 decrease Effects 0.000 description 4
- 229910000831 Steel Inorganic materials 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 241000251468 Actinopterygii Species 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000007634 remodeling Methods 0.000 description 1
Landscapes
- Control Of Heat Treatment Processes (AREA)
- Heat Treatment Of Strip Materials And Filament Materials (AREA)
Description
【発明の詳細な説明】
〔産業上の利用分野〕
この発明は、鋼帯等のストリツプを連続的に焼
鈍する連続焼鈍炉の設備診断方法、特に、その加
熱帯の加熱能力の劣化、各種センサの異常等を適
確に診断するようにしたものである。[Detailed Description of the Invention] [Industrial Application Field] This invention relates to a method for diagnosing equipment for a continuous annealing furnace that continuously anneales strips such as steel strips, and in particular, to detect deterioration of the heating capacity of the heating zone and to detect various sensors. This system is designed to accurately diagnose abnormalities, etc.
従来の連続焼鈍炉の加熱帯においては、その加
熱手段（通常、ラジアントチユーブバーナ）の加
熱能力の経時変化について特に監視するシステム
はなく、例えば定期点検工事時点で炉内を人手に
より点検してラジアントチユーブ等の設備の劣化
状況、炉体の損傷状況等を調べるようにしている
のが一般的である。
In the heating zone of a conventional continuous annealing furnace, there is no system to monitor the heating capacity of the heating means (usually a radiant tube burner) over time. Generally, the state of deterioration of equipment such as tubes and the state of damage to the furnace body are investigated.
しかしながら、上記従来の連続焼鈍炉の設備診
断方法にあつては、定期点検工事時にラジアント
チユーブ及び炉体を点検するようにしているの
で、全加熱帯のラジアントチユーブ及び炉体を点
検するには多大な労力と時間を必要とするという
問題点があつた。
However, in the conventional continuous annealing furnace equipment diagnosis method described above, the radiant tubes and the furnace body are inspected during periodic inspection work, so it takes a lot of time to inspect the radiant tubes and the furnace body in all heating zones. The problem was that it required a lot of effort and time.
また、ラジアントチユーブの亀裂の有無は、炉
内雰囲気ガス中のCO，CO2濃度を計測すること
により行うことができる。即ち、CO，CO2濃度
が所定設定値より高くなつたときにラジアントチ
ユーブに亀裂が生じていることを検出することが
できるが、この場合には、ラジアントチユーブの
何れの個所に亀裂が生じているかは検出すること
ができず、結局はラジアントチユーブを一本づつ
点検する外はないものであつた。 Moreover, the presence or absence of cracks in the radiant tube can be determined by measuring the concentration of CO and CO 2 in the atmosphere gas in the furnace. In other words, it is possible to detect that a crack has formed in the radiant tube when the CO, CO 2 concentration becomes higher than a predetermined set value. It was not possible to detect whether there was a fish or not, and in the end we had no choice but to inspect each radiant tube one by one.
そこで、この発明は上記従来例の問題点に着目
してなされたものであり、連続焼鈍炉の操業状態
において、炉の総括熱伝達係数を算出し、これを
監視することにより加熱帯の加熱能力の劣化、各
種センサの異常等を的確に診断することが可能な
連続焼鈍炉の設備診断方法を提供することを目的
としている。 Therefore, the present invention was made by focusing on the problems of the conventional method described above, and by calculating the overall heat transfer coefficient of the furnace in the operating state of the continuous annealing furnace and monitoring this, the heating capacity of the heating zone can be determined. The purpose of the present invention is to provide an equipment diagnosis method for a continuous annealing furnace that can accurately diagnose deterioration of the annealing furnace, abnormality of various sensors, etc.
上記目的を達成するために、この発明は、連続
焼鈍炉における加熱帯の炉内温度及びストリツプ
温度が正確に検出されており、且つストリツプの
放射率を含めた加熱帯の伝熱モデルが確立されて
いるとき、当該加熱帯が定常状態であるか否かを
判定し、定常状態であるときに、そのときの炉内
温度実績値、ストリツプ温度実績値及びライン速
度実績値を夫々測定し、これらに基づき炉の総括
熱伝達係数φCGを算出し、該総括熱伝達係数φCGの
経時的な変化を監視することにより前記加熱帯の
加熱能力の劣化、各種センサの異常等を診断する
ことを特徴とする。
In order to achieve the above object, the present invention provides a continuous annealing furnace in which the furnace temperature and strip temperature of the heating zone are accurately detected, and a heat transfer model of the heating zone including the emissivity of the strip is established. When the heating zone is in a steady state, it is determined whether or not the heating zone is in a steady state, and when the heating zone is in a steady state, the actual furnace temperature, strip temperature, and line speed at that time are measured, and these values are measured. The overall heat transfer coefficient φ CG of the furnace is calculated based on the above, and by monitoring changes in the overall heat transfer coefficient φ CG over time, it is possible to diagnose deterioration of the heating capacity of the heating zone, abnormalities in various sensors, etc. Features.
この発明においては、連続焼鈍炉の加熱帯が定
常状態であるとき即ち炉内温度及びライン速度に
変化がなく、且つストリツプの炉出口温度が許容
バラツキ内に入つているときに、そのときの炉内
温度実績値、ストリツプ温度実績値及びライン速
度実績値を夫々測定して、これらに基づき炉の総
括熱伝達係数φCGを算出し、この総括熱伝達係数
φCGの基準値との差値が所定設定範囲を越えてい
る場合には、温度センサ、速度センサ等の検出端
に異常が発生しているものと判定し、また、例え
ば月単位の総括熱伝達係数φCGの平均値を算出し、
この平均値が所定設定範囲の下限値より下回つた
ときには、ラジアントチユーブ等の設備劣化に伴
う燃焼効率低下、炉体放散熱増加が発生している
ものと判定することができる。
In this invention, when the heating zone of the continuous annealing furnace is in a steady state, that is, when there is no change in the furnace temperature and line speed, and when the furnace outlet temperature of the strip is within the allowable variation, The internal temperature actual value, strip temperature actual value, and line speed actual value are measured respectively, and based on these, the overall heat transfer coefficient φ CG of the furnace is calculated, and the difference value of this overall heat transfer coefficient φ CG from the reference value is calculated. If the value exceeds the predetermined setting range, it is determined that an abnormality has occurred at the detection end of the temperature sensor, speed sensor, etc., and the average value of the overall heat transfer coefficient φCG is calculated on a monthly basis, for example. ,
When this average value falls below the lower limit of the predetermined range, it can be determined that a decrease in combustion efficiency and an increase in heat dissipated from the furnace body are occurring due to deterioration of equipment such as radiant tubes.
以下、この発明の実施例を図面に基づいて説明
する。
Embodiments of the present invention will be described below based on the drawings.
第１図はこの発明の一実施例を示す構成図であ
る。 FIG. 1 is a block diagram showing an embodiment of the present invention.
図中、１は鋼帯等のストリツプ２を連続的に焼
鈍する連続焼鈍炉の一部を構成する加熱帯であつ
て、鋼帯２が炉内の上下に配置した複数のハース
ロール３間を交互に繞つて所定速度で移送されて
加熱される。 In the figure, reference numeral 1 denotes a heating zone that constitutes a part of a continuous annealing furnace for continuously annealing a strip 2 such as a steel strip, and the steel strip 2 is heated between a plurality of hearth rolls 3 arranged above and below in the furnace. They are alternately wrapped around each other and transferred at a predetermined speed to be heated.
加熱帯１の炉内は、図示しないが複数ｉ個のゾ
ーンに分割され、各ゾーン毎に炉内温度Tziを検
出する炉内温度センサ４が配設され、また加熱帯
１の出側にストリツプの温度Tsを検出するスト
リツプ温度センサ５が配設され、さらに、加熱帯
１の入側にストリツプ２の移送速度（ライン速
度）Ｖを検出するライン速度センサ６が配設され
ている。 The inside of the heating zone 1 is divided into a plurality of i zones (not shown), and a furnace temperature sensor 4 for detecting the furnace temperature Tzi is installed in each zone. A strip temperature sensor 5 for detecting the temperature Ts of the strip 2 is disposed, and a line speed sensor 6 for detecting the transfer speed (line speed) V of the strip 2 is further disposed on the inlet side of the heating zone 1.
そして、各炉内温度センサ４、ストリツプ温度
センサ５及びライン速度センサ６の検出信号と、
ストリツプ２の密度ρ、幅Ｗ、板厚ｔ、比熱Cp、
ステフアンボルツマン定数σ及び炉のラインパス
長Ｘを設定する設定回路７からの各設定値とが演
算装置８に供給される。 Then, the detection signals of each furnace temperature sensor 4, strip temperature sensor 5, and line speed sensor 6,
Density ρ of strip 2, width W, plate thickness t, specific heat Cp,
The Stephan-Boltzmann constant σ and each setting value from a setting circuit 7 for setting the line path length X of the furnace are supplied to an arithmetic unit 8.
この演算装置８は、例えばマイクロコンピユー
タで構成され、前記各検出信号及び設定値に基づ
き連続焼鈍炉の加熱帯１において成立する下記１
式の伝熱式に従つて炉の総括熱伝達係数φCGを算
出する。 This calculation device 8 is composed of, for example, a microcomputer, and the following 1 is established in the heating zone 1 of the continuous annealing furnace based on each of the detection signals and set values.
Calculate the overall heat transfer coefficient φ CG of the furnace according to the heat transfer equation of Eq.
ρ・Cp・ｔ・Ｖ・dTs／dX＝2φCGσ（Tz4−Ts4）
…(1)
ここで、ρはストリツプ２の密度、Cpはストリ
ツプの比熱、ｔはストリツプの板厚、Ｖはライン
速度、Tzは炉内温度、Tsはストリツプ温度、σ
はステフアンボルツマン定数、Ｘは炉のラインパ
ス長である。ρ・Cp・t・V・dTs/dX=2φ CG σ(Tz 4 −Ts 4 ) …(1) Here, ρ is the density of strip 2, Cp is the specific heat of the strip, t is the thickness of the strip, and V is line speed, Tz is furnace temperature, Ts is strip temperature, σ
is the Stephan-Boltzmann constant, and X is the line path length of the furnace.
なお、連続焼鈍炉の加熱帯１の入口のストリツ
プ温度Tsを常温（20℃）と仮定し、且つρ＝
7850Kg／m3、Ｗ＝1000mm、ｔ＝0.4mm、Ｖ＝350
ｍ／min、φCG＝0.327kal／m2min（℃）4、Tz＝820
℃、Ｘ＝210ｍ、σ＝4.88とし、Cpはストリツプ
温度と炭素量によつて変化するが例えば０〜50℃
で0.112kcal／Kg、700〜750℃で0.264kcal／Kgと
したときの(1)式に基づいて計算した炉内における
ストリツプ２の昇温カーブは第２図に示すように
なる。 In addition, it is assumed that the strip temperature Ts at the inlet of heating zone 1 of the continuous annealing furnace is room temperature (20℃), and ρ=
7850Kg/ m3 , W=1000mm, t=0.4mm, V=350
m/min, φ CG = 0.327 kal/m 2 min (℃) 4 , Tz = 820
℃, X = 210m, σ = 4.88, and Cp varies depending on the strip temperature and carbon content, but for example, 0 to 50℃.
The temperature rise curve of strip 2 in the furnace calculated based on equation (1) when the temperature is 0.112 kcal/Kg at 700-750°C and 0.264 kcal/Kg at 700-750°C is shown in Figure 2.
この第２図から明らかなように、連続焼鈍炉の
加熱帯１に送給されたストリツプ２は、その入口
から出口側に向かうに従つて徐々に温度が双曲線
的に上昇し、出口近傍で目標温度（約700℃）に
達する。 As is clear from FIG. 2, the temperature of the strip 2 fed into the heating zone 1 of the continuous annealing furnace gradually increases hyperbolically from the inlet to the outlet, and the temperature reaches the target near the outlet. temperature (approximately 700℃).
また、演算装置８において総括熱伝達係数φCG
を正確に求めるには、ライン速度Ｖ及び炉内温度
Tzの変化がなく、且つストリツプ２の炉出口温
度Tsが予め設定された許容範囲内に収まつてい
る炉の定常状態（安定状態）にあるか否かを判定
し、その判定結果が非定常状態にあるときには、
総括熱伝達係数φCGの算出を行わず、定常状態に
あるときのみそのときの各センサの検出値Ｖ、
Tz、Ts及び所定の設定値ρ、Ｗ、ｔ、Cp、σ、
Ｘに基づき前記(1)式を逆算して総括熱伝達係数
φCGnを算出し、これを演算装置８内のメモリに記
憶する。 In addition, in the calculation device 8, the overall heat transfer coefficient φ CG
To accurately determine the line speed V and furnace temperature
It is determined whether the furnace is in a steady state (stable state) where there is no change in Tz and the furnace outlet temperature Ts of strip 2 is within a preset tolerance range, and the determination result is unsteady. When in a state,
The overall heat transfer coefficient φ CG is not calculated, and the detected value of each sensor at that time V, only when in a steady state.
Tz, Ts and predetermined setting values ρ, W, t, Cp, σ,
The overall heat transfer coefficient φ CGn is calculated by back-calculating the equation (1) based on X, and this is stored in the memory in the arithmetic unit 8.
次いで、このメモリに記憶された総括熱伝達係
数φCGnと、同様にメモリに予め記憶された所定の
基準値φCGOとの差値Ｄ（＝φCGn−φCGp）を算出し、
その算出結果を例えば計算機９に出力して計算機
９内のメモリに記憶する。ここで、総括熱伝達係
数φCGnの基準値φCGOは、連続焼鈍炉の加熱帯１の
設備新設時或いは大改造時の直後に(1)式に基づい
て正確に算出し、これを演算装置８内のメモリに
記憶しておく。 Next, a difference value D (=φ CGn −φ CGp ) between the overall heat transfer coefficient φ CGn stored in this memory and a predetermined reference value φ CGO stored in advance in the memory is calculated,
The calculation result is output to, for example, the computer 9 and stored in a memory within the computer 9. Here, the reference value φ CGO of the overall heat transfer coefficient φ CGn is accurately calculated based on equation (1) immediately after the installation of new heating zone 1 equipment or major remodeling of the continuous annealing furnace, and this is calculated using the calculation device. Store it in the memory of 8.
このようにして、定常状態における総括熱伝達
係数φCGnと基準値φCGOとの差値Ｄを逐次計算機９
に記憶していくことにより、総括熱伝達係数φCGn
の変動による差値Ｄの変化により、炉の状況変
化、各センサ等の検出端の異常に起因する異常操
業を検出することができる。 In this way, the difference value D between the overall heat transfer coefficient φ CGn in the steady state and the reference value φ CGO is calculated by the computer 9.
By memorizing the overall heat transfer coefficient φ CGn
A change in the difference value D due to a change in can detect an abnormal operation caused by a change in the furnace condition or an abnormality at the detection end of each sensor.
すなわち、例えば総括熱伝達係数の基準値φCGO
を0.28としたときに、実際に算出された総括熱伝
達係数φCGnとの差値Ｄが±0.02変動すると加熱帯
１の出側におけるストリツプ２の温度Tsに対し
て±10℃の影響を及ぼすことになる。 That is, for example, the reference value of the overall heat transfer coefficient φ CGO
If the difference D from the actually calculated overall heat transfer coefficient φ CGn changes by ±0.02, it will affect the temperature Ts of the strip 2 at the exit side of the heating zone 1 by ±10°C. It turns out.
したがつて、通常の操業では、差値Ｄは±0.02
の範囲の管理区域で管理することができるが、例
えばストリツプ２を１コイル処理する間に必ず定
常状態が１回あり、総括熱伝達係数φCGnを算出し
て差値Ｄの演算が必ず実行できるものとすれば、
差値Ｄの管理区域を逸脱する状態が連続して例え
ば５回以上継続した場合には、炉内温度センサ
４、ストリツプ温度センサ５、ライン速度センサ
６等の検出端に異常が生じている可能性があると
判定することができるため、計算機９から検出端
異常の可能性があるとの警報を警報回路１０に出
力する。或いは、差値Ｄの±0.04の範囲を検出端
異常判別区域とし、この区域を逸脱することがあ
る場合には、即座に検出端異常警報を計算機９か
ら警報回路１０に出力する。 Therefore, in normal operation, the difference value D is ±0.02
However, for example, during the processing of one coil of strip 2, there is always one steady state, and the overall heat transfer coefficient φ CGn can be calculated and the difference value D can always be calculated. If that is the case,
If the difference value D deviates from the controlled area, for example, five or more times in a row, there may be an abnormality in the detection terminals of the furnace temperature sensor 4, strip temperature sensor 5, line speed sensor 6, etc. Therefore, the computer 9 outputs a warning to the alarm circuit 10 indicating that there is a possibility of an abnormality at the detection end. Alternatively, the range of ±0.04 of the difference value D is set as the detection end abnormality determination area, and if the detection end abnormality determination area is exceeded, a detection end abnormality warning is immediately output from the computer 9 to the alarm circuit 10.
このようにして、検出端の異常は、短期間の差
値Ｄの変化をみることにより、診断することがで
きるものであるが、ラジアントチユーブ劣化など
の加熱帯の加熱能力変化は長期に亘る経時的劣化
を判別する必要があり、このため、計算機９でそ
のメモリに順次記憶されているｎ個の差値Ｄの月
単位の平均値を下記(2)式に基づいて算出する。 In this way, abnormalities at the detection end can be diagnosed by looking at changes in the difference value D over a short period of time, but changes in the heating capacity of the heating zone, such as radiant tube deterioration, can occur over a long period of time. Therefore, the computer 9 calculates the monthly average value of the n difference values D sequentially stored in its memory based on the following equation (2).
＝１／ｎo
〓i=1
ｉ …(2)
そして、平均値を順次計算機９のメモリに記
憶し、この平均値が例えば２回続けて許容範囲
に下限値（−0.02）未満となつたときにラジアン
トチユーブ等の設備に亀裂等の劣化が生じたもの
と判定し、これら設備の点検を強化する警報信号
を計算機９から警報回路１０に出力する。ここ
で、許容範囲の下限にのみ着目するのは、設備劣
化に伴う燃焼効率の低下、炉体放散熱の増加等に
より、総括熱伝達係数φCGnが低下することによつ
て差値Ｄが低下するので、この総括熱伝達係数
φCGnと基準値φCGnとの差値Ｄを監視することによ
り、ラジアントチユーブ等の設備劣化に伴う加熱
能力の劣化が生じているか否かを診断することが
できる。 =1/n o 〓 i=1 i...(2) Then, the average value is sequentially stored in the memory of the computer 9, and if this average value falls below the lower limit value (-0.02) within the allowable range twice in a row, for example, At times, it is determined that equipment such as radiant tubes has deteriorated, such as cracks, and an alarm signal is output from the computer 9 to the alarm circuit 10 to intensify inspection of these equipment. Here, we focus only on the lower limit of the allowable range because the overall heat transfer coefficient φ CGn decreases due to a decrease in combustion efficiency due to equipment deterioration, an increase in heat dissipated from the furnace body, etc., and the difference value D decreases. Therefore, by monitoring the difference value D between the overall heat transfer coefficient φ CGn and the reference value φ CGn , it is possible to diagnose whether or not the heating capacity has deteriorated due to equipment deterioration such as the radiant tube. .
なお、上記実施例においては、検出端の異常及
び設備劣化を許容範囲を５回及び２回連続的に逸
脱したときに警報信号を出力するようにした場合
について説明したが、これに限定されるものでは
なく、これらは連続焼鈍炉の加熱帯１の設備に応
じて任意に設定することができる。 In the above embodiment, a case has been described in which an alarm signal is output when the abnormality of the detection end and the equipment deterioration deviate from the allowable range five times and twice consecutively, but the present invention is not limited to this. They can be arbitrarily set depending on the equipment of the heating zone 1 of the continuous annealing furnace.
また、上記実施例においては、演算装置８と計
算機９とによつて焼鈍炉の加熱帯１の設備劣化及
び検出端の異常が発生しているか否かを診断する
ようにした場合について説明したが、これに限定
されるものではなく、演算装置８と計算機９とを
１つの演算処理装置によつて構成することもでき
るものである。 Furthermore, in the above embodiment, a case has been described in which the arithmetic unit 8 and the computer 9 are used to diagnose whether equipment deterioration in the heating zone 1 of the annealing furnace and abnormality at the detection end has occurred. However, the present invention is not limited to this, and the arithmetic device 8 and the computer 9 may be configured by one arithmetic processing device.
以上説明したように、この発明によれば、連続
焼鈍炉の加熱帯が定常状態にあるときに、その総
括熱伝達係数φCGを、炉内温度実績値、ストリツ
プ温度実績値及びストリツプ移送速度を検出する
ことにより算出し、この総括熱伝達係数φCGの経
時的変化を監視することにより、加熱帯の設備劣
化及び検出端の異常が発生しているか否かを診断
するようにしたので、設備劣化及び検出端の異常
の双方を操業状態において人手を煩わすことなく
自動的に診断することができ、設備改善の時期決
定などに有効に活用することができ、従つて異常
操業による製品品質の低下を防止することができ
るという効果が得られる。
As explained above, according to the present invention, when the heating zone of the continuous annealing furnace is in a steady state, the overall heat transfer coefficient φ CG , the actual furnace temperature value, the actual strip temperature value, and the strip transfer speed are calculated. By monitoring changes over time in the overall heat transfer coefficient φ CG , it is possible to diagnose whether there is equipment deterioration in the heating zone or an abnormality at the detection end. Both deterioration and detection end abnormalities can be automatically diagnosed during operating conditions without the need for human intervention, and can be effectively used to determine when to improve equipment, thereby preventing product quality deterioration due to abnormal operation. This has the effect of being able to prevent this.
第１図はこの発明の一実施例を示す構成図、第
２図は連続焼鈍炉の加熱帯におけるラインパス長
とストリツプ温度との関係を示すグラフ、第３図
は総括熱伝達係数とその基準値との差値と時間と
の関係を示すグラフである。
図中、１は連続焼鈍炉の加熱帯、２はストリツ
プ、３はハースロール、４は炉内温度センサ、５
はストリツプ温度センサ、６はライン速度セン
サ、７は設定回路、８は演算装置、９は計算機、
１０は警報回路である。
Figure 1 is a block diagram showing an embodiment of the present invention, Figure 2 is a graph showing the relationship between line path length and strip temperature in the heating zone of a continuous annealing furnace, and Figure 3 is the overall heat transfer coefficient and its standard. It is a graph showing the relationship between the difference value and time. In the figure, 1 is the heating zone of the continuous annealing furnace, 2 is the strip, 3 is the hearth roll, 4 is the furnace temperature sensor, and 5 is the heating zone of the continuous annealing furnace.
is a strip temperature sensor, 6 is a line speed sensor, 7 is a setting circuit, 8 is an arithmetic unit, 9 is a calculator,
10 is an alarm circuit.
Claims (1)
トリツプ温度が正確に検出されており、且つスト
リツプの放射率を含めた加熱帯の伝熱モデルが確
立されているときに、当該加熱体が定常状態であ
るか否かを判定し、定常状態であるときに、その
ときの炉内温度実績値、ストリツプ温度実績値及
びライン速度実績値を夫々測定し、これらに基づ
き炉の総括熱伝達係数φCGを算出し、該総括熱伝
達係数φCGの経時的な変化を監視することにより
前記加熱帯の加熱能力の劣化、各種センサの異常
等を診断することを特徴とする連続焼鈍炉の設備
診断方法。1. When the furnace temperature and strip temperature of the heating zone in a continuous annealing furnace are accurately detected and a heat transfer model of the heating zone including the emissivity of the strip has been established, the heating element is in a steady state. , and when the condition is steady, measure the furnace temperature actual value, strip temperature actual value, and line speed actual value at that time, and based on these, determine the overall heat transfer coefficient φ CG of the furnace. A method for diagnosing equipment for a continuous annealing furnace, characterized by diagnosing deterioration in the heating capacity of the heating zone, abnormalities in various sensors, etc. by calculating the overall heat transfer coefficient φ CG and monitoring changes over time in the overall heat transfer coefficient φ CG. .
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP22847585A JPS6289820A (en) | 1985-10-14 | 1985-10-14 | Method for diagnosing apparatus in continuous annealing furnace |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP22847585A JPS6289820A (en) | 1985-10-14 | 1985-10-14 | Method for diagnosing apparatus in continuous annealing furnace |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS6289820A JPS6289820A (en) | 1987-04-24 |
| JPS6345453B2 true JPS6345453B2 (en) | 1988-09-09 |
Family
ID=16877059
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP22847585A Granted JPS6289820A (en) | 1985-10-14 | 1985-10-14 | Method for diagnosing apparatus in continuous annealing furnace |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS6289820A (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2807918B2 (en) * | 1990-04-24 | 1998-10-08 | 川崎製鉄株式会社 | Combustion control method for continuous annealing furnace |
| CN108594782B (en) * | 2018-06-28 | 2023-11-28 | 苏州鼎佳炉窑科技有限公司 | Intelligent self-diagnosis system of periodic aluminum coiled material nitrogen annealing furnace |
| CN113325819B (en) * | 2021-04-22 | 2022-08-19 | 上海孟伯智能物联网科技有限公司 | Continuous annealing unit fault diagnosis method and system based on deep learning algorithm |
-
1985
- 1985-10-14 JP JP22847585A patent/JPS6289820A/en active Granted
Also Published As
| Publication number | Publication date |
|---|---|
| JPS6289820A (en) | 1987-04-24 |
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