JPH0535325B2 - - Google Patents
Info
- Publication number
- JPH0535325B2 JPH0535325B2 JP60223571A JP22357185A JPH0535325B2 JP H0535325 B2 JPH0535325 B2 JP H0535325B2 JP 60223571 A JP60223571 A JP 60223571A JP 22357185 A JP22357185 A JP 22357185A JP H0535325 B2 JPH0535325 B2 JP H0535325B2
- Authority
- JP
- Japan
- Prior art keywords
- flame
- combustion
- ash
- ubc
- unburned
- 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 - Lifetime
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Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N5/00—Systems for controlling combustion
- F23N5/02—Systems for controlling combustion using devices responsive to thermal changes or to thermal expansion of a medium
- F23N5/08—Systems for controlling combustion using devices responsive to thermal changes or to thermal expansion of a medium using light-sensitive elements
- F23N5/082—Systems for controlling combustion using devices responsive to thermal changes or to thermal expansion of a medium using light-sensitive elements using electronic means
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N2223/00—Signal processing; Details thereof
- F23N2223/08—Microprocessor; Microcomputer
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Control Of Combustion (AREA)
- Regulation And Control Of Combustion (AREA)
Description
【発明の詳細な説明】
〔発明の利用分野〕
本発明は、ボイラの燃焼状態の監視、診断方法
に係り、特に排ガス検出位置における該排ガス成
分を推定予測する燃焼状態監視方法に関する。DETAILED DESCRIPTION OF THE INVENTION [Field of Application of the Invention] The present invention relates to a method for monitoring and diagnosing the combustion state of a boiler, and more particularly to a combustion state monitoring method for estimating and predicting exhaust gas components at an exhaust gas detection position.
従来、ボイラ運転時における排ガス成分の生成
量は、火炉内出口或いは煙道などに検出端を設け
て検出されていた。
Conventionally, the amount of exhaust gas components generated during boiler operation has been detected by providing a detection end at an outlet in a furnace, a flue, or the like.
一方、燃焼時には、未燃分或いは化学変化によ
り有害物質NOx,SOx、等が生成され排ガス中に
含まれるが、検出されたそれら成分の分離、分析
に長時間を要する。 On the other hand, during combustion, harmful substances such as NO x and SO x are generated due to unburned components or chemical changes and are contained in the exhaust gas, but it takes a long time to separate and analyze the detected components.
このため、運転中における、それらの有害物質
或いは、未燃分の低減には、運転員の経験と勘に
頼らざるを得ないという問題があつた。特に環境
上、その生成量が規制されつつあるNOx(窒素酸
化物)、SOx(硫黄酸化物)或いは燃焼効率に影響
を与える灰中未燃分の低減、等については、早急
に解決されなければならない課題である。 For this reason, there is a problem in that reduction of these harmful substances or unburned substances during operation must rely on the experience and intuition of the operator. In particular, issues such as NO x (nitrogen oxides) and SO x (sulfur oxides), whose production amounts are being regulated from an environmental perspective, and the reduction of unburned matter in ash, which affects combustion efficiency, must be resolved as soon as possible. This is an issue that must be addressed.
さらに近年、石油代替エネルギーとして石炭が
見直されている中で、微粉炭及びCWM(石炭/
水スラリ)、COM(石炭/油スラリ)の燃焼技術
が注目されているが、先に述べたNOx排出量、
灰中未燃分の残存量等が、ガス・油等の燃焼に比
べ格段に増加することから環境及び効率に及ぼす
影響が大きく、新たに技術的対応が迫られてい
る。 Furthermore, in recent years, coal has been reconsidered as an energy alternative to oil, and pulverized coal and CWM (coal/
Combustion technology for COM (coal/oil slurry) and COM (water slurry) is attracting attention;
Since the amount of unburned matter remaining in the ash increases significantly compared to the combustion of gas, oil, etc., this has a large impact on the environment and efficiency, and new technical measures are required.
このような問題の多くは、燃焼火炎形状などを
改善することにより解決できるとし、バーナ近傍
の燃焼火炎を計測しバーナ近傍及び燃焼火炎中後
流域の燃焼状態を判定する方法があるが、燃焼火
炎中後流域で混合される空気量或いは燃料比(輝
発分/固形炭素分)によつて大きく左右される。
燃焼火炎中後流域を定量的に精度良く評価するに
は、バーナ近傍を計測するだけでは不十分であ
る。(なお関連公知例には特開昭56−23630号があ
る)
〔発明の目的〕
本発明の目的は、ボイラ運転中の燃焼排ガス中
に含有される物質(特にNOx,SOx,ばいじん等
の有害物質或いは効率に影響のある未燃分の残存
量、等)を短時間で定量的に推定する燃焼状態監
視方法を提供することにある。 Many of these problems can be solved by improving the shape of the combustion flame, and there is a method of measuring the combustion flame near the burner and determining the combustion state near the burner and in the middle and downstream region of the combustion flame. It is greatly influenced by the amount of air mixed in the middle and rear regions or the fuel ratio (bright component/solid carbon component).
Measuring the vicinity of the burner is not enough to quantitatively and accurately evaluate the downstream region of the combustion flame. (Related publicly known examples include JP-A No. 56-23630.) [Object of the Invention] The object of the present invention is to eliminate substances (particularly NO x , SO x , dust, etc.) contained in combustion exhaust gas during boiler operation. An object of the present invention is to provide a combustion state monitoring method for quantitatively estimating, in a short period of time, the residual amount of harmful substances or unburned substances that affect efficiency, etc.).
本発明は、火炎の高輝度部あるいは高温度部の
位置が排ガス成分と相関があることに着目し、排
ガスの成分量を火炎の高輝度部あるいは高温度部
の位置の関数として予め定めておき、実際の火炎
の高輝度部あるいは高温度部の位置を前記火炎の
画像に基づいて計測し、該計測された火炎の高輝
度部あるいは高温度部の位置情報から、前記関数
の値を演算することにより、排ガスの成分量を定
量的に推定することを特徴とする。
The present invention focuses on the fact that the position of the high brightness part or the high temperature part of the flame has a correlation with the exhaust gas components, and the amount of the exhaust gas component is determined in advance as a function of the position of the high brightness part or the high temperature part of the flame. , Measure the position of the high brightness part or high temperature part of the actual flame based on the flame image, and calculate the value of the function from the position information of the measured high brightness part or high temperature part of the flame. The present invention is characterized by quantitatively estimating the amount of components of exhaust gas.
更に好ましい実施例としては、アフタエアに基
づく影響を考慮し、火炎の後流域における情報も
加味するものである。 A further preferred embodiment is one that takes into account the influence of after-air and also takes into account information in the trailing region of the flame.
はじめにその基礎となることについて述べる。 First, I will explain the basics.
ボイラ運転中の燃焼排ガスの中に含有している
物質、特に有害物質であるNOx,SOx,ばいじん
等には規制値が設けられており、その生成量を規
制値以下に守つて運転しなければならない。 Regulation values have been set for substances contained in the combustion exhaust gas during boiler operation, especially harmful substances such as NO x , SO x , soot and dust, etc., and it is necessary to operate the boiler by keeping the amount generated below the regulation value. There must be.
一方、ボイラの燃焼効率は、常時最大に保つて
運転することが望ましい。この効率を算出する上
で目安となるのが排ガス中に含まれる未燃分であ
る。排ガス中の未燃分が多くなる程燃焼効率は低
下し、同じ出力を得るにも燃料消費が増大すると
いう結果になる。しかし、未燃分の検出には、長
時間を要することから、運転中における効率は経
験と勘に頼らざるを得ない。 On the other hand, it is desirable that the combustion efficiency of the boiler is always kept at its maximum during operation. The standard for calculating this efficiency is the unburned content contained in the exhaust gas. As the amount of unburned matter in the exhaust gas increases, the combustion efficiency decreases, resulting in increased fuel consumption to obtain the same output. However, since it takes a long time to detect unburned components, efficiency during operation must rely on experience and intuition.
最近、燃料としてガス、油に代わり石炭の利用
が見直されつつあり、ボイラにおいても微粉炭、
CWM(石炭/水スラリ)、COM(石炭/油スラ
リ)等が燃料として用いられ始めている。 Recently, the use of coal as a fuel instead of gas and oil is being reconsidered, and pulverized coal,
CWM (coal/water slurry), COM (coal/oil slurry), etc. are beginning to be used as fuel.
特に、石炭を燃料とした場合、それ自体に含ま
れている窒素成分が燃焼によりNOxに転換する
ため、その生成量は多大なものになる。さらに、
燃焼速度がガス、油に比べて格段に遅いことか
ら、火炉温度の低下を伴い、灰中未燃分の残存量
も増える傾向にある。 In particular, when coal is used as a fuel, the nitrogen components contained in the coal itself are converted into NOx through combustion, resulting in a large amount of NOx produced. moreover,
Since the combustion speed is much slower than that of gas or oil, the amount of unburned matter remaining in the ash tends to increase as the furnace temperature decreases.
このような事から、以下、説明例として微粉炭
を燃料とした場合について述べる。 For this reason, the case where pulverized coal is used as fuel will be described below as an illustrative example.
第2図に微粉炭燃焼時の形状の異なる4ケース
の火炎を示す。a,bは燃料比(揮発分/固形炭
素分)1.0〜1.5の間の石炭の微粉炭燃焼時の火
炎、c,dは燃料比1.6〜2.0の間の石炭の微粉炭
燃焼時の火炎の例で、実線の円内は、従来、火炎
を実際に計測していた部分(1次燃焼領域)、点
線の円内は従来、その燃焼状態を1次燃焼領域の
火炎形状から推測していた部分で、本発明で実際
に計測しようとする部分(2次燃焼領域)の1例
である。 Figure 2 shows four cases of flames with different shapes during pulverized coal combustion. a, b are the flames when pulverized coal is burned at a fuel ratio (volatile content/solid carbon content) between 1.0 and 1.5; c and d are the flames when pulverized coal is burned at a fuel ratio between 1.6 and 2.0. In the example, the area inside the solid line circle is where the flame was actually measured (primary combustion area), and the area inside the dotted line is where the combustion state was traditionally estimated from the flame shape in the primary combustion area. This is an example of a portion (secondary combustion region) that is actually measured in the present invention.
ここで、1次燃焼領域とは、揮発分燃焼が主体
となる領域、2次燃焼領域とは、固形炭素分燃焼
が主体となる領域である。 Here, the primary combustion region is a region where volatile matter combustion is the main activity, and the secondary combustion region is a region where solid carbon content combustion is the main activity.
以下、灰中未燃分と微粉炭燃焼時の火炎の相関
を例にとつて説明する。 Hereinafter, the correlation between the unburned content in the ash and the flame during combustion of pulverized coal will be explained as an example.
第2図の4ケースの火炎の灰中未燃分の残存量
は、a,c,b,dの順で増加することは、種々
の実験データを解析した結果から明らかである。 It is clear from the analysis of various experimental data that the amount of unburned matter remaining in the ash of the flames in the four cases of FIG. 2 increases in the order of a, c, b, and d.
燃焼火炎の1次燃焼領域、2次燃焼領域の大き
さ、位置関係、温度と灰中未燃分残存量とは、極
めて高い相関がある。 There is an extremely high correlation between the size, positional relationship, and temperature of the primary combustion region and secondary combustion region of the combustion flame and the amount of unburned matter remaining in the ash.
ここで、燃料比1.0〜1.5の間の石炭の微粉炭燃
焼時の火炎a,bに着目すると、1次燃焼領域の
形状、領域の大きさ、位置関係、輝度及び温度と
2次燃焼領域の燃焼状態及び灰中未燃分の残存量
とは相関がある。 Here, if we focus on flames a and b during pulverized coal combustion of coal with a fuel ratio of 1.0 to 1.5, we can see that the shape, size, positional relationship, brightness, and temperature of the primary combustion area and the relationship between the secondary combustion area and the There is a correlation between the combustion state and the amount of unburned matter remaining in the ash.
しかし、ここで燃料比1.6〜2.0間の石炭の微粉
炭燃焼時の火炎c,dに着目すると、両火炎間に
は、未燃分の残存量に差があるにもかかわらず、
1次燃焼領域の形状、領域の大きさ、位置関係、
輝度及び温度がほとんど変化していない。しか
し、2次燃焼領域の形状、領域の大きさ、位置関
係、輝度及び温度と灰中未燃分残存量とは、極め
て高い相関がある。これは、固形炭素分が多い高
燃料比炭は、低燃料比炭に比べて燃焼速度が遅く
固形炭素分の燃焼域である2次燃焼領域に、燃焼
火炎の特徴が現れるためと考えられる。 However, if we focus on flames c and d during pulverized coal combustion of coal with a fuel ratio of 1.6 to 2.0, even though there is a difference in the amount of unburned matter remaining between the two flames,
The shape of the primary combustion region, the size of the region, the positional relationship,
There is almost no change in brightness and temperature. However, there is an extremely high correlation between the shape, size, positional relationship, brightness, and temperature of the secondary combustion region and the amount of unburned matter remaining in the ash. This is thought to be because high fuel ratio coal with a large solid carbon content has a slower combustion speed than low fuel ratio coal, and characteristics of combustion flame appear in the secondary combustion region, which is the combustion region of solid carbon.
このように、1次燃焼領域の形状、領域の大き
さ、位置関係、輝度及び温度と先端部からの燃焼
性と同様に2次燃焼領域の形状、領域の大きさ、
位置関係、輝度及び温度が灰中未燃分と相関があ
ることに基づき、例えば灰中未燃分の推定指標
(IUBC)を求める火炎形状の特徴パラメータ(特
徴量)を第3図のように定める。 In this way, the shape, size, positional relationship, brightness, temperature, and combustibility from the tip of the primary combustion area as well as the shape, size, and size of the secondary combustion area,
Based on the fact that the positional relationship, brightness, and temperature are correlated with the unburned content in the ash, for example, the characteristic parameters (feature quantities) of the flame shape to obtain the estimation index of the unburned content in the ash (I UBC ) are as shown in Figure 3. stipulated in
第3図において、1次燃焼領域の輝度の高い領
域を酸化炎と呼ぶことにする。ここでは、例えば
燃焼火炎の特徴を現わす特徴パラメータとして、
1次燃焼領域からは、酸化炎間距離X1、バーナ
先端から酸化炎までの温度或いは輝度の平均値
X2、2次燃焼領域からは、2次燃焼領域の温度
或いは輝度の積分値を考えた。 In FIG. 3, the high brightness area in the primary combustion area will be referred to as the oxidation flame. Here, for example, as a characteristic parameter representing the characteristics of a combustion flame,
From the primary combustion area, the distance between oxidizing flames X 1 , the average value of temperature or brightness from the burner tip to the oxidizing flame
From X 2 , the secondary combustion region, the integral value of the temperature or brightness of the secondary combustion region was considered.
酸化炎間距離
X1=dx/dB (1)
バーナ先端から酸化炎までの輝度平均値
X2=d
〓x=a
I(x)/X (2)
2次燃焼領域輝度積分値
X3=d
〓x=c
I(x)/X (3)
を用いて、灰中未燃分の推定指標IUBCを、例え
ば、
IUBC=K・X1・X2・X3 (4)
で定義する。ここでKは、1次口径係数Iは、輝
度である。ここで第3図のX1を表わすG1,G2の
定め方として、
(1) 酸化炎の中心をG1,G2とする。 Distance between oxidizing flames X 1 = dx/dB (1) Average brightness value from the burner tip to oxidizing flame X 2 = d 〓 x=a I(x)/X (2) Secondary combustion area brightness integral value X 3 = d 〓 x=c Using I(x)/X (3), the estimated index I UBC of unburned content in the ash is defined as, for example, I UBC = K・X 1・X 2・X 3 (4) do. Here K is the primary aperture coefficient I is the brightness. Here, how to determine G 1 and G 2 representing X 1 in Fig. 3: (1) Let G 1 and G 2 be the center of the oxidation flame.
(2) 各酸化炎のバーナ先端から最も近い部分或い
は、遠い部分をG1,G2とする。(2) The portion of each oxidation flame closest to or farthest from the burner tip is designated G 1 and G 2 .
(3) 火炎温度の最も高い位置をG1,G2とする。(3) Let G 1 and G 2 be the positions with the highest flame temperature.
(4) 酸化炎を温度分布から求め、その重心をG1,
G2とする。(4) Find the oxidation flame from the temperature distribution, and find its center of gravity G 1 ,
Let it be G 2 .
第3図のX2を求めるa,bの定め方として
(1) バーナ先端位置をaとする
(2) G1,G2において、バーナ先端に近い方或い
は遠い方の点
第3図のX3を求めるc,dの定め方として、
(1) 燃料比、空気投入法などによつて、任意に決
まるものとする。 How to determine a and b to determine X 2 in Figure 3: (1) Set the burner tip position to a (2) In G 1 and G 2 , the point nearer or farther from the burner tip How to determine c and d to find 3 : (1) They shall be determined arbitrarily depending on the fuel ratio, air injection method, etc.
などが考えられる。etc. are possible.
以上が、火炎形状を用いた灰中未燃分の推定方
法の一例を示したものである。 The above is an example of a method for estimating unburned content in ash using flame shape.
さらに、このような火炎に対してその後流側で
アフタエアが投入された場合、灰中未燃分UBC
とその推定指標IUBCとの関係は、第4図のように
なる。第4図からアフタエアの影響で、推定推標
IUBCに対して灰中未燃分UBCが2値を採る領域
(Aのカーブ)を持つことがわかり、IUBCを推定
指標として用いることができないという問題が生
じた。 Furthermore, if afterair is injected into the downstream side of such a flame, the unburnt UBC in the ash will increase.
The relationship between this and its estimated index I UBC is shown in Figure 4. As shown in Figure 4, due to the influence of after-air, the estimated target
It was found that the unburned fraction UBC in the ash has a binary value region (curve A) with respect to I UBC, and a problem arose that I UBC could not be used as an estimation index.
一方、アフタエアが最大量投入された時の灰中
未燃分UBCとその推定指標IUBCとは、第4図の破
線Bのように直線の関係を持つことが、種種の実
験データを解析した結果から明らかになつた。 On the other hand, analysis of various experimental data shows that the unburned UBC in the ash when the maximum amount of afterair is injected and its estimated index I UBC have a linear relationship as shown by the broken line B in Figure 4. It became clear from the results.
この結果、アフタエア投入による灰中未燃分
UBCへの影響は、第5図に示すように計測位置、
アフタエア量の各々に対して関数(特に指数関
数)で表わされることがわかり、計測位置での灰
中未燃分を精度良く推定或いは予測することがで
きることがわかつた。 As a result, the unburned content in the ash due to after-air injection
The influence on UBC is determined by the measurement position and
It was found that each amount of after air is expressed by a function (especially an exponential function), and it was found that the unburned content in the ash at the measurement position can be estimated or predicted with high accuracy.
以上灰中未燃分について、種々の実験から発明
者等が得た知見に基づき述べたが、他の排ガス成
分(NOx,SOx,ばいじん、等)についても同様
の傾向を示しており、本発明に基づいた実施例を
灰中未燃分UBCを例にとり次に述べる。 The above description of unburned content in ash is based on the findings obtained by the inventors from various experiments, but other exhaust gas components (NO x , SO x , soot, etc.) also show similar trends. An example based on the present invention will be described below, taking unburnt UBC in ash as an example.
本発明の1実施例を第1,6図に示す。第1図
は、灰中未燃分UBCの監視・診断を単一バーナ
について実施した場合である。炉壁の覗き窓から
水又は空気で冷却したイメージフアイバーを火炉
のバーナ近傍と燃焼火炎中後流域が見える位置に
それぞれ挿入し、燃焼火炎の画像を炉外に導く。
炉外に導かれた火炎画像は、各ITVカメラで電
気信号に変えられる。第6図は、燃焼状態監視装
置の1構成例である。各ITVカメラからのアナ
ログ映像信号6,7は、A/D変換器1を介して
デジタル映像信号8,9に変換され、フレームメ
モリ2に書き込まれる。書き込まれた画像データ
10は、プロセツサ3に取り込まれ、(4)式で定義
した灰中未燃分推定指標IUBCを演算する。操作量
及び計測量13はプロセスI/O5を介してデジ
タル信号12としてプロセツサ3に入力される。 An embodiment of the present invention is shown in FIGS. 1 and 6. Figure 1 shows the case where monitoring and diagnosis of unburned UBC in the ash was carried out for a single burner. An image fiber cooled with water or air is inserted through a viewing window in the furnace wall at a position near the burner of the furnace and at a position where the middle and downstream region of the combustion flame can be seen, and an image of the combustion flame is guided to the outside of the furnace.
The flame images guided outside the reactor are converted into electrical signals by each ITV camera. FIG. 6 shows one configuration example of the combustion state monitoring device. Analog video signals 6 and 7 from each ITV camera are converted into digital video signals 8 and 9 via an A/D converter 1 and written into a frame memory 2. The written image data 10 is taken into the processor 3 and calculates the unburned content estimation index I UBC defined by equation (4). The manipulated variable and measured variable 13 are input to the processor 3 as a digital signal 12 via the process I/O 5.
一方、第1図において燃焼火炎後流部からアフ
タエアが投入されており、計測位置ではアフタエ
アによる灰中未燃分の減少量も重畳されて計測さ
れる。そこで、(4)式にこのアフタエアによる影響
を考慮した推定項を付加した(5)式を用いて灰中未
燃分UBCを推定する。 On the other hand, in FIG. 1, afterair is injected from the downstream part of the combustion flame, and at the measurement position, the amount of reduction in unburned matter in the ash due to afterair is also superimposed and measured. Therefore, the unburned UBC in the ash is estimated using equation (5), which is obtained by adding an estimation term that takes into account the influence of this after air to equation (4).
P(UBC)=K1・IUBC+K2・exp(α)+C (5)
ここで、
P(UBC);灰中未燃分推定量
IUBC;灰中未燃分推定指標
α;アフタエアを表わす係数
K1,K2,C;定数(但し、K2はアフタエア装
置から検出位置までの距離を考慮した定数)
(5)式において、アフタエアの影響を表わすαは
(6)式に示すようにアフタエア量の関数として表わ
される。P(UBC)=K 1・I UBC +K 2・exp(α)+C (5) Here, P(UBC); Estimated amount of unburned content in ash I UBC ; Estimated index of unburned content in ash α; After air Representing coefficients K 1 , K 2 , C; constants (however, K 2 is a constant that takes into account the distance from the after-air device to the detection position) In equation (5), α representing the influence of after-air is
It is expressed as a function of the amount of after air as shown in equation (6).
α=g(GAA……) (6)
ここで、GAA:アフタエア量
また、(6)式で示されるアフタエア量は、(7)式の
ように空気比を用いて表わすことも可能である。 α=g(G AA ……) (6) Here, G AA : After air amount In addition, the after air amount shown in equation (6) can also be expressed using the air ratio as shown in equation (7). be.
α=g{(λ−λBNR),……) (7)
ここで、
λ:トータル空気比
λBNR:バーナ空気比
さらに、GAAは総空気量と3次空気量を用いて
表わすこともできる。(5)式は、一例として指数関
数を用いてアフタエアの投入による推定項を表わ
したが、他の関数で表わすことも可能である。す
なわち、
P(UBC)=K1・IUBC+K2・{g(GAA),……}+
CP(UBC)=K1・IUBC+K2・{g(λ−λBNR),…
…}+C(8)
となる。 α=g{(λ− λBNR ),……) (7) Here, λ: Total air ratio λBNR : Burner air ratio Furthermore, G AA can also be expressed using the total air amount and tertiary air amount. can. Equation (5) uses an exponential function to express the estimated term due to the input of after-air, but it is also possible to express it using other functions. That is, P(UBC)=K 1・I UBC +K 2・{g(G AA ),...}+
CP(UBC)=K 1・I UBC +K 2・{g(λ−λ BNR ),…
...}+C(8).
以上の処理の一例としてプロセツサ3の内部処
理フローの概略を第7図a,bに示す。第7図の
概略処理を次に説明する。 As an example of the above processing, an outline of the internal processing flow of the processor 3 is shown in FIGS. 7a and 7b. The outline of the process shown in FIG. 7 will be explained next.
100:各火炎画像データの入力
バーナ近傍火炎画像データIM1(i,j)、燃焼
火炎中後流域火炎画像データIM2(i,j)をプ
ロセツサ3に入力する。 100: Input of each flame image data Burner vicinity flame image data IM 1 (i, j) and combustion flame intermediate and downstream flame image data IM 2 (i, j) are input to the processor 3.
110:各火炎画像データの平均化
その燃焼状態を示す最も高い確率を持つ火炎形
状を求める((9),(10)式に一例を示す。)
IM1(i,j)=1/NN
〓k=1
{IM1(i,j)}k (9)
IM2(i,j)=1/NN
〓k=1
{IM2(i,j)}k (10)
ここで、
IM1(i,j):平均化したバーナ近傍火炎画像
IM2(i,j):平均化した燃焼火炎中後流域火
炎画像
k:平均化の標本数(k=1〜N)
120:各火炎形状の特徴抽出
画像処理を用いて、バーナ近傍火炎画像データ
に対しては、火炎の高輝度、高温域(酸化炎)を
抽出し、それら抽出した領域の重心間距離、及び
バーナから重心までの輝度平均値を算出し、燃焼
火炎中後流域火炎画像に対しては、火炎画像デー
タから火炎を抽出し輝度面積を算出する。 110: Averaging each flame image data Find the flame shape with the highest probability of indicating the combustion state (an example is shown in equations (9) and (10)) IM 1 (i, j) = 1/N N 〓 k=1 {IM 1 (i, j)} k (9) IM 2 (i, j)=1/N N 〓 k=1 {IM 2 (i, j)} k (10) Here, IM 1 (i, j): Averaged burner vicinity flame image IM 2 (i, j): Averaged combustion flame intermediate and trailing flame image k: Number of samples for averaging (k = 1 to N) 120: Each flame Shape feature extraction Using image processing, high brightness and high temperature areas (oxidation flame) of the flame are extracted from the flame image data near the burner, and the distance between the centers of gravity of these extracted areas and the distance from the burner to the center of gravity are calculated. The brightness average value is calculated, and for the combustion flame intermediate and downstream flame images, flames are extracted from the flame image data and the brightness area is calculated.
130:灰中未燃分推定指標IUBCの計算
灰中未燃分推定指標IUBCを(11)式を用いて求
める。 130: Calculation of unburned content estimation index I UBC in ash Calculate unburned content estimation index I UBC in ash using equation (11).
IUBC=X・Y・Z・K+C1 (11)
ここで、
X:酸化炎間距離
Y:バーナ先端から酸化炎までの輝度平均値
Z:燃焼火炎中後流域火炎輝度面積
k.C1:定数
140:アフタエアは投入されているか?
アフタエアの影響を考慮する必要があるか否か
を判定する。 I UBC = X・Y・Z・K+C 1 ( 11) where, : Is after-air provided? Determine whether it is necessary to consider after-air effects.
判定 必要あり(Yes):GAA>0
必要なし(No):GAA>0
ここで、
GAA:アフタエア量
150:アフタエア投入による灰中未燃分の減
少量の推定
アフタエアが投入され、燃焼が進行し灰中未燃
分が減少する量を推定する。 Judgment Necessary (Yes): G AA > 0 Not necessary (No): G AA > 0 Where, G AA : After air amount 150: Estimated amount of reduction in unburned content in ash due to after air injection After air is input and combustion Estimate the amount by which the amount of unburned matter in the ash decreases as the process progresses.
P={g(GAA,……)}+C2 (12)
ここで、
C2:定数
P:推定した減少量
GAA:アフタエア量
(12)式において関数g(GAA,……)は、少
なくともGAAを含む関数であることを示す。 P={g(G AA ,...)}+C 2 (12) Here, C 2 : Constant P : Estimated amount of decrease G AA : After air amount In equation (12), the function g(G AA ,...) is , shows that it is a function containing at least G AA .
160:灰中未燃分の推定
先に求めたIUBCとPを用いて(13)式により灰
中未燃分を推定する。 160: Estimating the unburned content in the ash Using the I UBC and P obtained earlier, estimate the unburned content in the ash using equation (13).
P(UBC)=K1・IUBC+K2・P+C (13)
ここで、
P(UBC):推定した灰中未燃分
IUBC:灰中未燃分推定指標
K1,K2,C:定数
P:推定した灰中未燃分減少量
170:推定結果の出力
灰中未燃分の推定量P(UBC)を出力装置に出
力する。P(UBC)=K 1・I UBC +K 2・P+C (13) Here, P(UBC): Estimated unburned content in ash I UBC : Indicator for estimating unburned content in ash K 1 , K 2 , C: Constant P: Estimated amount of decrease in unburned content in ash 170: Output of estimation result The estimated amount P (UBC) of unburned content in ash is output to the output device.
また、第7図bの概略処理は次の通りである。 Further, the outline processing of FIG. 7b is as follows.
121:バーナ近傍火炎画像データ高輝度、高
温域抽出(半閾値処理)
火炎の特徴量として高輝度、高温域(酸化炎)
を用いることから、半閾値処理でその領域を抽出
する。ここで半閾値処理とは、濃淡画像において
(9)式を用いて画像を処理することをいう。 121: Extraction of high brightness and high temperature areas from flame image data near burner (half threshold processing) High brightness and high temperature areas (oxidation flame) as flame features
, the area is extracted by half-threshold processing. Here, half-threshold processing refers to
It refers to processing an image using equation (9).
IM1(i,j)THのとき、IM1(i,j)=IM1
(i,j)
IM1(i,j)<THのとき、IM1(i,j)=0 (14)
ここで、
IM1(i,j):平均化したバーナ近傍火炎画
像。 When IM 1 (i, j) TH, IM 1 (i, j) = IM 1
(i, j) When IM 1 (i, j)<TH, IM 1 (i, j)=0 (14) Here, IM 1 (i, j): Averaged flame image near the burner.
TH:半閾値化レベル
122:高輝度、高温域の重心を計算
半閾値処理を用いて抽出した高輝度、高温域
(酸化炎)の重心を求める。本実施例では、領域
の重心をその代表点としたが、最高輝度、最高温
度点などをその代表点としても同様の効果が期待
できる。 TH: Half-threshold level 122: Calculate the center of gravity of the high-brightness, high-temperature region Calculate the center of gravity of the high-brightness, high-temperature region (oxidation flame) extracted using half-threshold processing. In this embodiment, the center of gravity of the area is taken as its representative point, but the same effect can be expected if the maximum brightness, maximum temperature point, etc. are used as the representative point.
123:燃焼火炎中後流域火炎画像データから
火炎抽出(半閾値処理)
燃焼火炎中後流域火炎の輝度面積を求めるため
に画像データから燃焼火炎中後流域火炎を半閾値
処理で抽出する。ここで半閾値処理とは、(14)
式と同様に
IM2(i,j)THのとき、IM2(i,j)=IM2
(i,j)
IM2(i,j)<THのとき,IM2(i,j)=0 (15)
ここで、
IM2(i,j):平均化した燃焼火炎中後流域火
炎画像
TH:半閾値化レベル
124:重心間距離を計算(X)
,の処理をした、バーナ近傍火炎画像デー
タの酸化炎の重心を用いて、灰中未燃分推定指標
IUBCを求めるための特徴パラメータの1つである
X(酸化炎の重心間距離)を求める。 123: Flame extraction from image data of combustion flame middle and trailing region flame (half-threshold processing) In order to obtain the brightness area of the combustion flame middle and trailing region flame, extract the combustion flame middle and trailing region flame from the image data by half-threshold processing. Here, half-threshold processing means (14)
Similarly to the formula, when IM 2 (i, j) TH, IM 2 (i, j) = IM 2
(i, j) When IM 2 (i, j) < TH, IM 2 (i, j) = 0 (15) where, IM 2 (i, j): averaged combustion flame trailing region flame image TH: Half-threshold level 124: Calculate distance between centers of gravity (X) Using the center of gravity of the oxidizing flame in the flame image data near the burner, which has been processed, the unburned content in the ash is estimated.
I Find X (distance between centers of gravity of oxidizing flame), which is one of the characteristic parameters for finding UBC .
125:バーナ先端から重心までの輝度平均値
を計算(Y)
,の処理をした、バーナ近傍火炎画像デー
タの酸化炎の重心位置、バーナ先端位置、火炎輝
度情報を用いて、灰中未燃分推定指標IUBCを求め
るための特徴パラメータの1つであるY(バーナ
先端から酸化炎までの輝度平均)を求める。 125: Calculate the average brightness value from the burner tip to the center of gravity (Y) Using the oxidation flame center of gravity position, burner tip position, and flame brightness information of the flame image data near the burner, which has been processed, calculate the unburned content in the ash. Y (average brightness from the burner tip to the oxidizing flame), which is one of the characteristic parameters for determining the estimated index I UBC , is determined.
なお、本実施例によれば次のような効果も得ら
れる。 Note that according to this embodiment, the following effects can also be obtained.
(1) 排ガス成分を実時間で推定或いは予測するこ
とが可能となり、高効率運転が達成できる。(1) It becomes possible to estimate or predict exhaust gas components in real time, and highly efficient operation can be achieved.
(2) 段毎の着目した成分の生成量を把握でき、き
めの細かな運転制御が可能となる。(2) It is possible to grasp the production amount of the component of interest in each stage, enabling fine-grained operation control.
(3) バーナの燃焼状態を直接計測することから、
ボイラ運転状態を適確に把握できる。(3) By directly measuring the combustion state of the burner,
Boiler operating status can be accurately grasped.
(4) 高燃料比の微粉炭、CWMなど、さまざまな
燃焼状態でも精度良く排ガス成分を把握でき
る。(4) Exhaust gas components can be accurately determined even under various combustion conditions, such as pulverized coal with a high fuel ratio and CWM.
(5) 運転員の負担を軽減することができる。(5) The burden on the operator can be reduced.
またバーナ先端から酸化炎の温度平均でも同様
の効果が期待できる。 A similar effect can also be expected by averaging the temperature of the oxidizing flame from the tip of the burner.
126:燃焼火炎中後流域火炎の輝度積分値を
計算(Z)
の処理をした、燃焼火炎中後流域火炎画像デ
ータを用いて、灰中未燃分推定指標IUBCを求める
ための特徴パラメータの1つであるZ(燃焼火炎
中後流域の輝度積分値)を求める。 126: Calculate the brightness integral value of the flame in the middle and trailing region of the combustion flame (Z) Using the image data of the flame in the middle and trailing region of the combustion flame that has been processed, the characteristic parameters for calculating the unburned content estimation index I UBC in the ash are calculated. One of these, Z (luminance integral value of the middle and rear region of the combustion flame), is determined.
また、燃焼火炎中後流域の温度積分値でも同様
の効果が期待できる。 Furthermore, a similar effect can be expected with the temperature integral value in the downstream region of the combustion flame.
以上、本発明を用いることにより、火炎画像か
ら灰中未燃分を推定し、計測位置の灰中未燃分を
精度よく推定或いは予測することが可能となる。 As described above, by using the present invention, it is possible to estimate the unburned content in the ash from the flame image and accurately estimate or predict the unburned content in the ash at the measurement position.
他の実施例として、第8図に複数の異なるバー
ナを本発明による燃焼状態監視制御方法で監視す
る場合を示す。この場合、燃焼状態監視制御装置
の画像入力部をA,B,C段の各々の画像入力時
に切換える方法(第9図a)、A/D変換器とフ
レームメモリを各々A,A′,B,B′,C,C′段
用に準備し、3段同時にフレームに画像を入力す
る方法(第9図b)が考えられる。プロセツサの
内部処理は、基本的には第7図a,bと同様であ
る。その概略処理を第10図に示す。 As another embodiment, FIG. 8 shows a case where a plurality of different burners are monitored by the combustion state monitoring and control method according to the present invention. In this case, there is a method of switching the image input section of the combustion state monitoring and control device when inputting images of stages A, B, and C (Fig. 9a), and switching the A/D converter and frame memory respectively to stages A, A', and B. , B', C, and C' stages and simultaneously input images to the frames of the three stages (Fig. 9b). The internal processing of the processor is basically the same as that shown in FIGS. 7a and 7b. The schematic process is shown in FIG.
例えば、実機ボイラの燃焼状態の監視に本発明
を用いることにより、各段のバーナ燃焼状態、す
なわちボイラ運転状態を監視でき、アフタエアの
影響を考慮した、きめの細かい高効率運転を実現
できる。また、本発明の灰中未燃分推定値から、
操作量(空気量、空気比等)を制御することによ
り、オペレータの負担をさらに低減することがで
きる。 For example, by using the present invention to monitor the combustion state of an actual boiler, it is possible to monitor the burner combustion state of each stage, that is, the boiler operating state, and it is possible to realize detailed and highly efficient operation that takes into account the influence of afterair. In addition, from the estimated value of unburned content in the ash of the present invention,
By controlling the amount of operation (air amount, air ratio, etc.), the burden on the operator can be further reduced.
さらに本発明は、バーナのタイプによつて左右
されるものではない。例えば、第11図aとbの
ように異なるバーナタイプであつてもバーナ断面
方向から燃焼火炎を計測すると、形成される火炎
はa,b共同様な形状を示すことから明らかであ
る。 Furthermore, the invention is not dependent on burner type. For example, even if the burner types are different as shown in FIGS. 11a and 11b, when the combustion flame is measured from the cross-sectional direction of the burner, it is clear that the flames formed have the same shape in both a and b.
本発明を実施することにより、排ガス成分、例
えば、灰中未燃分(UBC)を精度のよい監視を
おこなうことができる。
By implementing the present invention, exhaust gas components, for example, unburned content in ash (UBC), can be monitored with high precision.
第1図は本発明の1実施例を示す図、第2図は
本発明の基本となる火炎形状を比較した図、第3
図は火炎形状から抽出する特徴パラメータを示す
図、第4図は灰中未燃分とその推定指標をアフタ
エアの影響について比較した図、第5図は、灰中
未燃分の減少過定を投入量と距離について示した
図、第6図は本発明の装置構成の一例を示す図、
第7図a,bはプロセツサの概略処理フローを示
す図、第8図は本発明の他の実施例を示す図、第
9図は他の実施例の画像入力方法の例を示す図、
第10図は他の実施例の概略処理フローを示す
図、第11図は異なるタイプのバーナを示す図で
ある。
1……A/D変換器、8,9……デイジタル映
像信号。
Fig. 1 is a diagram showing one embodiment of the present invention, Fig. 2 is a diagram comparing the flame shapes that are the basis of the present invention, and Fig. 3 is a diagram showing one embodiment of the present invention.
Figure 4 shows the characteristic parameters extracted from the flame shape, Figure 4 compares the unburned content in the ash and its estimated index with regard to the influence of after-air, and Figure 5 shows the overestimation of the decrease in the unburned content in the ash. A diagram showing the input amount and distance, FIG. 6 is a diagram showing an example of the device configuration of the present invention,
7a and 7b are diagrams showing a schematic processing flow of the processor, FIG. 8 is a diagram showing another embodiment of the present invention, and FIG. 9 is a diagram showing an example of an image input method of another embodiment.
FIG. 10 is a diagram showing a schematic processing flow of another embodiment, and FIG. 11 is a diagram showing a different type of burner. 1... A/D converter, 8, 9... Digital video signal.
Claims (1)
用いて監視する方法において、 排ガスの成分量を、火炎の高輝度部あるいは高
温度部の位置の関数として予め定め、実際の火炎
の高輝度部あるいは高温度部の位置を、火炎の根
元部及び後流域の画像に基づいて計測し、該計測
された火炎の高輝度部あるいは高温度部の位置情
報から、前記関数の値を演算することにより、排
ガスの成分量を定量的に推定することを特徴とす
る燃焼状態監視方法。[Claims] 1. A method for monitoring the combustion state in a boiler using an image of the combustion flame, in which the component amount of the exhaust gas is predetermined as a function of the position of the high-intensity part or the high-temperature part of the flame, and The position of the high-intensity part or high-temperature part of the flame is measured based on images of the base and trailing area of the flame, and the value of the function is calculated from the position information of the measured high-intensity part or high-temperature part of the flame. A combustion state monitoring method characterized by quantitatively estimating the amount of exhaust gas components by calculation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60223571A JPS6284222A (en) | 1985-10-09 | 1985-10-09 | Combustion status monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60223571A JPS6284222A (en) | 1985-10-09 | 1985-10-09 | Combustion status monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS6284222A JPS6284222A (en) | 1987-04-17 |
| JPH0535325B2 true JPH0535325B2 (en) | 1993-05-26 |
Family
ID=16800248
Family Applications (1)
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|---|---|---|---|
| JP60223571A Granted JPS6284222A (en) | 1985-10-09 | 1985-10-09 | Combustion status monitoring method |
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| Country | Link |
|---|---|
| JP (1) | JPS6284222A (en) |
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|---|---|---|---|---|
| JP2756815B2 (en) * | 1989-03-14 | 1998-05-25 | 株式会社日立製作所 | Boiler combustion control search method and apparatus |
| JP2772984B2 (en) * | 1989-09-22 | 1998-07-09 | 横河電機株式会社 | Process volume monitoring device |
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|---|---|---|---|---|
| JPS6036825A (en) * | 1983-08-10 | 1985-02-26 | Hitachi Ltd | Control method for combustion flame and device thereof |
-
1985
- 1985-10-09 JP JP60223571A patent/JPS6284222A/en active Granted
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| Publication number | Publication date |
|---|---|
| JPS6284222A (en) | 1987-04-17 |
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