JPS6289820A - Method for diagnosing apparatus in continuous annealing furnace - Google Patents
Method for diagnosing apparatus in continuous annealing furnaceInfo
- Publication number
- JPS6289820A JPS6289820A JP22847585A JP22847585A JPS6289820A JP S6289820 A JPS6289820 A JP S6289820A JP 22847585 A JP22847585 A JP 22847585A JP 22847585 A JP22847585 A JP 22847585A JP S6289820 A JPS6289820 A JP S6289820A
- Authority
- JP
- Japan
- Prior art keywords
- furnace
- heat transfer
- heating zone
- strip
- value
- 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.)
- Granted
Links
- 238000000137 annealing Methods 0.000 title claims description 22
- 238000000034 method Methods 0.000 title claims description 7
- 238000010438 heat treatment Methods 0.000 claims abstract description 42
- 238000012546 transfer Methods 0.000 claims abstract description 34
- 230000005856 abnormality Effects 0.000 claims abstract description 17
- 230000006866 deterioration Effects 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 238000001514 detection method Methods 0.000 abstract description 15
- 229910000831 Steel Inorganic materials 0.000 abstract description 5
- 239000010959 steel Substances 0.000 abstract description 5
- 230000002159 abnormal effect Effects 0.000 abstract description 3
- 230000007423 decrease Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 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
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 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
- 238000011160 research Methods 0.000 description 1
Landscapes
- Control Of Heat Treatment Processes (AREA)
- Heat Treatment Of Strip Materials And Filament Materials (AREA)
Abstract
Description
【発明の詳細な説明】
〔産業上の利用分野〕
この発明は、銅帯等のストリッ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] The present invention relates to a method for diagnosing equipment for a continuous annealing furnace that continuously anneales strips such as copper strips, and in particular, a method for diagnosing the deterioration of the heating capacity of the heating zone and 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、ラジアントチューブバーナ)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ュ
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, the heating means (
Normally, there is no system that specifically monitors changes over time in the heating capacity of radiant tube burners (radiant tube burners). It is common to do some research.
しかしながら、上記従来の連続焼鈍炉の設備診断方法に
あっては、定期点検工事時にラジアントチューブ及び炉
体を点検するようにしているので、全加熱帯のラジアン
トチュ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った。However, in the conventional continuous annealing furnace equipment diagnosis method described above, the radiant tube and furnace body are inspected during periodic inspection work, so it takes a lot of time to inspect the radiant tube and furnace body in all heating zones. The problem was that it required a lot of effort and time.
また、ラジアントチューブの亀裂の有無は、炉内雰囲気
ガス中のco、co□濃度を計測することにより行うこ
とができる。即ち、co、co□濃度が所定設定値より
高くなったときにラジアントチュ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
アントチュ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ューブを一本
づつ点検する外はないものであった。Moreover, the presence or absence of cracks in the radiant tube can be determined by measuring the co and co□ concentrations in the furnace atmosphere gas. In other words, it is possible to detect that a crack has occurred in the radiant tube when the co, co□ 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ップ温度が正確に検
出されており、且つストリッ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、ストリップ温度実績値及び
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φ、6
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 method in which 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 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 it is in a steady state,
At that time, the furnace temperature actual value, strip temperature actual value, and line speed actual value are measured respectively, and based on these, the overall heat transfer coefficient φCG of the furnace is calculated, and the overall heat transfer coefficient φ, 6
It is characterized by diagnosing deterioration of the heating capacity of the heating zone, abnormality of various sensors, etc. by monitoring changes over time.
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
つストリップの炉出口温度が許容バラツキ内に入ってい
るときに、そのときの炉内温度実績値、ストリップ温度
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φc6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ったときには、ラジア
ントチューブ等の設備劣化に伴う燃焼効率低下、炉体放
散熱増加等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 exit temperature of the strip is within the allowable variation, The internal temperature actual value, strip temperature actual value, and line speed actual value are each measured, and based on these, the overall heat transfer coefficient φc6 of the furnace is calculated, and the difference value between this overall heat transfer coefficient φCG and the reference value is set as a predetermined value. If it exceeds the range, it is determined that an abnormality has occurred at the detection end of the temperature sensor, speed sensor, etc. Also, for example, the average value of the overall heat transfer coefficient φCG on a monthly basis is calculated, and this average value is calculated. When the value is below the lower limit of the predetermined setting range, it can be determined that a decrease in combustion efficiency, an increase in heat dissipated from the furnace body, etc. 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は鋼帯等のストリップ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って、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
っ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. 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T 2 i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
リップ2の温度Tsを検出するストリップ温度センサ5
が配設され、さらに、加熱帯lの入側にストリップ2の
移送速度(ライン速度)■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 furnace 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 T 2 i is provided for each zone. A strip temperature sensor 5 detects the temperature Ts of the strip 2 at
Further, a line speed sensor 6 for detecting the transfer speed (line speed) of the strip 2 is provided on the inlet side of the heating zone l.
そして、各炉内温度センサ4、ストリップ温度センサ5
及びライン速度センサ6の検出信号と、ストリップ2の
密度ρ9幅W、板厚t、比熱Cp。Then, each furnace temperature sensor 4, strip temperature sensor 5
and the detection signal of the line speed sensor 6, the density ρ9 of the strip 2, the width W, the plate thickness t, and the specific heat Cp.
ステファンボルツマン定数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。The Stefan 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ュータで構成
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)式の伝熱式に従っ
て炉の総括熱伝達係数φcaを算出する。This calculation device 8 is composed of, for example, a microcomputer, and calculates the overall heat transfer coefficient φca of the furnace according to the following heat transfer equation (1) that is established in the heating zone 1 of the continuous annealing furnace based on each of the detection signals and set values. calculate.
・・・・・・・・・・・・(1)
ここで、ρはストリップ2の密度、、Cpはストリップ
の比熱、tはストリップの板厚、■はライン速度、Tz
は炉内温度、Tsはストリップ温度。・・・・・・・・・・・・(1) Here, ρ is the density of strip 2, Cp is the specific heat of the strip, t is the thickness of the strip, ■ is the line speed, Tz
is the furnace temperature and Ts is the strip temperature.
σはステファンボルツマン定数、Xは炉のラインパス長
である。σ is the Stefan Boltzmann constant, and X is the line path length of the furnace.
なお、連続焼鈍炉の加熱帯1の入口のストリップ温度T
sを常温(20℃)と仮定し、且つρ=7 8 5 0
kg/m’ 、 W=1 0 0 0mm、
t=o、4u+。In addition, the strip temperature T at the entrance of heating zone 1 of the continuous annealing furnace
Assuming that s is room temperature (20℃), and ρ=7 8 5 0
kg/m', W=1000mm,
t=o, 4u+.
V = 350m/min 、 φCG= 0.32
7 kcal/m”m1n(’C)’、 Tz
= 820°C,X=210m、 σ=4.88とし
、Cpはストリップ温度と炭素量によって変化するが例
えば0〜50℃で0.112 kcal/kg。V = 350m/min, φCG = 0.32
7 kcal/m”m1n('C)', Tz
= 820°C, X = 210m, σ = 4.88, and Cp varies depending on the strip temperature and carbon content, but is, for example, 0.112 kcal/kg at 0 to 50°C.
700〜750℃で0.264 kcal/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
ップ2の昇温カーブは第2図に示すようになる。The temperature increase curve of the strip 2 in the furnace calculated based on equation (1) at 700 to 750° C. and 0.264 kcal/kg is shown in FIG.
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ップ2は、その入口から出口側に向
かうに従っ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 this Figure 2, heating zone 1 of the continuous annealing furnace
The temperature of the strip 2 gradually increases hyperbolically from the inlet to the outlet, reaching the target temperature (approximately 700° C.) near the outlet.
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、且つストリップ2の炉出口温度Tsが予め設定さ
れた許容範囲内に収まっ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P+ W+ t+
Cpr σ+Xに基づき前記(1)式を逆算して総
括熱伝達係数φ。G、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 order to accurately determine the overall heat transfer coefficient φCG in the calculation device 8, there must be no change in the line speed V and furnace temperature Tz, and the furnace outlet temperature Ts of the strip 2 must be within a preset allowable range. It is determined whether or not the furnace is in a steady state (stable state), and if the determination result is in an unsteady state, the overall heat transfer coefficient φCG is not calculated,
Only when in a steady state, the detection value V of each sensor at that time
, Tz, Ts and predetermined set value P+ W+ t+
The overall heat transfer coefficient φ is calculated by back calculating the above equation (1) based on Cpr σ+X. G, is calculated and stored in the memory within 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φCG
mと、同様にメモリに予め記憶された所定の基準値φC
GOとの差値D(=φCG+++−φCGO)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φCG、
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, the overall heat transfer coefficient φCG stored in this memory
m and a predetermined reference value φC that is also stored in advance in the memory.
A difference value D (=φCG+++−φCGO) with respect to GO is calculated, and the calculation result is output to, for example, the computer 9 and stored in the memory within the computer 9. Here, the overall heat transfer coefficient φCG,
The reference value φCGO is accurately calculated based on equation (1) immediately after new installation or major remodeling of the heating zone 1 of the continuous annealing furnace, and this is stored in the memory in the arithmetic unit 8.
このようにして、定常状態における総括熱伝達係数φC
いと基準値φCGOとの差値りを逐次計算機9に記憶し
ていくことにより、総括熱伝達係数φCGmの変動によ
る差値りの変化により、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 overall heat transfer coefficient φC in steady state
By sequentially storing the difference value between the heat transfer coefficient and the reference value φCGO in the computer 9, changes in the difference value due to fluctuations in the overall heat transfer coefficient φCGm can cause changes in the furnace status and abnormalities at the detection end of each sensor, etc. The resulting abnormal operation can be detected.
すなわち、例えば総括熱伝達係数の基準値φ。、。That is, for example, the reference value φ of the overall heat transfer coefficient. ,.
を0.28としたときに、実際に算出された総括熱伝達
係数φCGMとの差値りが±0.02変動すると加熱帯
1の出側におけるストリップ2の温度Tsに対して±1
0℃の影響を及ぼすことになる。is 0.28, and the difference value from the actually calculated overall heat transfer coefficient φCGM varies by ±0.02, the temperature Ts of the strip 2 at the outlet side of the heating zone 1 changes by ±1
This will have an effect of 0°C.
したがって、通常の操業では、差値りは±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
ップ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φCGmを算出して差値りの演算が必
ず実行できるものとすれば、差値り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.ストリップ温度センサ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、差値りの±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 differential value can be controlled within a control range of ±0.02, but for example, during the processing of one coil of strip 2, there is always one steady state, and the overall heat transfer coefficient Assuming that φCGm can be calculated and the calculation of the difference value can always be executed, if the condition in which the difference value exceeds the control area continues, for example, five or more times, the furnace temperature sensor 4. Strip temperature sensor5. Since it can be determined that there is a possibility that an abnormality has occurred in the detection end of the line speed sensor 6, etc., the computer 9 outputs an alarm to the alarm circuit 10 indicating that there is a possibility of an abnormality in the detection end. Alternatively, the range of ±0.04 of the difference value is set as the detection end abnormality determination area, and if there is a possibility of deviation from this area, 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、短期間の差値りの変
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、ラジアントチュ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
の差値りの月単位の平均値りを下記(2)式に基づいて
算出する。In this way, abnormalities at the detection end can be diagnosed by observing changes in the difference value 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 sequentially stored in its memory based on the following equation (2).
そして、平均値りを順次計算機9のメモリに記憶し、こ
の平均値りが例えば2回続けて許容範囲の下限値(−0
,02)未満となったときにラジアントチューブ等の設
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φCいが低下することによって
差値りが低下するので、この総括熱伝達係数φ。。と基
準値φCGmとの差値りを監視することにより、ラジア
ントチュ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。Then, the average value is sequentially stored in the memory of the computer 9, and the average value is, for example, the lower limit of the allowable range (-0) twice in a row.
, 02), it is determined that deterioration such as cracks has occurred in equipment such as radiant tubes, 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 φC decreases due to a decrease in combustion efficiency due to equipment deterioration, an increase in heat dissipated from the furnace body, etc., and the differential value decreases. , this overall heat transfer coefficient φ. . By monitoring the difference between the reference value φCGm and the reference value φCGm, it is possible to diagnose whether or not the heating capacity has deteriorated due to deterioration of equipment 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(、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 equipment deterioration deviate from the permissible range five times and twice in a row.
(These are not limited to these, but 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
によって焼鈍炉の加熱帯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って構成す
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 calculation device 8 and the computer 9 can be configured by one calculation 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φ
CGを、炉内温度実績値、ストリップ温度実績値及びス
トリッ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、従っ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 is calculated by detecting the actual furnace temperature value, actual strip temperature value, and strip transfer speed, and by monitoring changes over time in this overall heat transfer coefficient φCG, equipment deterioration in the heating zone and detection end By diagnosing whether or not an abnormality has occurred, it is possible to automatically diagnose both equipment deterioration and detection end abnormalities during operation without the need for human intervention, making it easier to determine when to improve equipment. It can be used effectively, and therefore, it is possible to prevent deterioration of product quality due to abnormal operation.
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ップ温
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はストリップ、3は
ハースロール、4は炉内温度センサ、5はストリップ温
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。Fig. 1 is a block diagram showing an embodiment of the present invention, Fig. 2 is a graph showing the relationship between the line path length and strip temperature in the heating zone of a continuous annealing furnace, and Fig. 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 a heating zone of a continuous annealing furnace, 2 is a strip, 3 is a hearth roll, 4 is a furnace temperature sensor, 5 is a strip temperature sensor, 6 is a line speed sensor, 7 is a setting circuit, 8 is a calculation device, 9 is a computer, and 10 is an alarm circuit.
Claims (1)
度が正確に検出されており、且つストリップの放射率を
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、ストリップ温
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φ_C_Gを算出し、該総括
熱伝達係数φ_C_G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
。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 zone is in a steady state. Determine whether or not there is, and when the condition is steady, measure the actual furnace temperature, strip temperature, and line speed at that time, and calculate the overall heat transfer coefficient φ_C_G of the furnace based on these. A method for diagnosing equipment for a continuous annealing furnace, characterized in that deterioration of the heating capacity of the heating zone, abnormalities of various sensors, etc. are diagnosed by monitoring changes over time in the overall heat transfer coefficient φ_C_G.
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 true JPS6289820A (en) | 1987-04-24 |
| JPS6345453B2 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) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH046224A (en) * | 1990-04-24 | 1992-01-10 | Kawasaki Steel Corp | Method for controlling temperature of continuous annealing furnace |
| CN108594782A (en) * | 2018-06-28 | 2018-09-28 | 苏州鼎佳炉窑科技有限公司 | Periodic aluminium coiled material n 2 annealing stove intelligent self-diagnosing system |
| CN113325819A (en) * | 2021-04-22 | 2021-08-31 | 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
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH046224A (en) * | 1990-04-24 | 1992-01-10 | Kawasaki Steel Corp | Method for controlling temperature of continuous annealing furnace |
| CN108594782A (en) * | 2018-06-28 | 2018-09-28 | 苏州鼎佳炉窑科技有限公司 | Periodic aluminium coiled material n 2 annealing stove intelligent self-diagnosing system |
| 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 |
| CN113325819A (en) * | 2021-04-22 | 2021-08-31 | 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| JPS6345453B2 (en) | 1988-09-09 |
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