JPH04161711A - Device for diagnosing combustion condition - Google Patents
Device for diagnosing combustion conditionInfo
- Publication number
- JPH04161711A JPH04161711A JP28794590A JP28794590A JPH04161711A JP H04161711 A JPH04161711 A JP H04161711A JP 28794590 A JP28794590 A JP 28794590A JP 28794590 A JP28794590 A JP 28794590A JP H04161711 A JPH04161711 A JP H04161711A
- Authority
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- Prior art keywords
- process data
- combustion
- combustion chamber
- objects
- furnace
- 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
- 238000002485 combustion reaction Methods 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 claims abstract description 32
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 230000007423 decrease Effects 0.000 claims abstract description 7
- 239000000463 material Substances 0.000 claims description 18
- 238000003745 diagnosis Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 3
- 239000010813 municipal solid waste Substances 0.000 description 45
- 238000013528 artificial neural network Methods 0.000 description 12
- 239000007789 gas Substances 0.000 description 4
- 230000003247 decreasing effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000000428 dust Substances 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 210000002569 neuron Anatomy 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000002918 waste heat Substances 0.000 description 1
Landscapes
- Incineration Of Waste (AREA)
Abstract
Description
【発明の詳細な説明】
〔産業上の利用分野〕
本発明は、炉内燃焼状態を示すプロセスデータを検出す
るプロセスデータ検出手段と、該プロセスデータに基づ
いて炉内への被焼却物の搬送量を増減制御する搬送量制
御手段とからなる燃焼制御装置を備えてある焼却炉に対
して、該プロセスデータに基づき炉内燃焼状態が正常で
あるか異常であるかを診断する燃焼状態診断装置に関す
る。DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention provides a process data detection means for detecting process data indicating a combustion state in a furnace, and a method for transporting materials to be incinerated into the furnace based on the process data. A combustion state diagnosis device for diagnosing whether the combustion state in the furnace is normal or abnormal based on the process data for an incinerator equipped with a combustion control device consisting of a conveyance amount control means that controls the amount to increase or decrease. Regarding.
従来、この種の燃焼状態診断装置としては、燃焼制御装
置により、燃焼室内の各所に配されたセンサを用いて検
出された燃焼状態を示すプロセスデータか設定範囲に入
るような良好な燃焼状態に焼却炉を維持すへく、そのプ
ロセスデータに基づいて被焼却物の搬送量等を増減制御
していた。Conventionally, this type of combustion state diagnosis device uses a combustion control device to detect process data indicating the combustion state detected using sensors placed at various locations within the combustion chamber, or to determine whether the combustion state is in good condition and falls within a set range. In order to maintain the incinerator, the amount of material to be incinerated was increased or decreased based on the process data.
そして、該焼却炉にエキスパートシステムに代表される
診断装置を設けて、該診断装置による異常診断に基づき
運転員が手動で補正制御したり、或いは診断装置の出力
を用いて直接に燃焼制御装置による制御を補正していた
。Then, a diagnostic device such as an expert system is installed in the incinerator, and the operator can perform manual correction control based on abnormality diagnosis by the diagnostic device, or directly control the combustion control device using the output of the diagnostic device. The control was being corrected.
しかし、上述のエキスパートシステムでは、被焼却物か
燃焼室内に溜まり燃焼し難い状態である“ゴミ山盛り”
や被焼却物か燃焼室内に僅かとなる“ゴミ切れ”といっ
た異常状態を正確に判断することがかなり困難となる場
合かあり、時には誤診断するというおそれもあった。However, with the above-mentioned expert system, the problem is that there is a “heap of garbage” that is difficult to burn due to the accumulation of incinerated materials in the combustion chamber.
In some cases, it is quite difficult to accurately judge abnormal conditions such as a small amount of "garbage" in the combustion chamber, such as incineration or incinerated material, and there is sometimes a risk of misdiagnosis.
入力されるプロセスデータは、互いに密接に関連してお
り、“ゴミ山盛り”や“ゴミ切れ”に対して非常に似通
った値を示すからである。This is because the input process data are closely related to each other and show very similar values for "heaps of trash" and "out of trash".
例えば、炉出口温度は共に低下し、産業用テレビカメラ
で得られる炎の面積はともに小さくなる。For example, the furnace outlet temperature decreases, and the flame area obtained by an industrial television camera decreases.
本発明の目的は上述した従来欠点を解消する点にある。An object of the present invention is to eliminate the above-mentioned conventional drawbacks.
この目的を達成するため、本発明による燃焼状態診断装
置の特徴構成は、該燃焼状態診断装置が複数の異常状態
のうち相反する異常状態を共に出力したときに、搬送量
制御手段により被焼却物の搬送を設定時間行った後の該
プロセスデータから異常状態を特定し、或いは搬送量制
御手段による被焼却物の搬送を設定時間停止した後の該
プロセスデータから異常状態を特定する手段を備えたこ
とにある。In order to achieve this object, the characteristic configuration of the combustion state diagnosis device according to the present invention is such that when the combustion state diagnosis device outputs both contradictory abnormal states out of a plurality of abnormal states, the conveyance amount control means means for identifying an abnormal state from the process data after the conveyance of the incineration material has been carried out for a set time, or for identifying an abnormal state from the process data after the transport of the incineration material by the conveyance amount control means has been stopped for a set time. There is a particular thing.
プロセスデータが設定範囲を逸脱して異常状態となって
いる場合、所定時間被焼却物を搬送して、燃焼室の被焼
却物の容量を増加させると、それまでが゛°ゴミ切れ”
であったならばそれか解消されて設定範囲に入るか改善
されるし、“ゴミ山盛り”であったならば逸脱した状態
は変わらないか更に程度かひどくなる。If the process data deviates from the set range and is in an abnormal state, increase the capacity of the incinerated material in the combustion chamber by transporting the incinerated material for a predetermined period of time, and the amount of waste will be reduced until then.
If so, it will either be resolved and fall within the set range, or it will be improved; if it is a "heap of garbage", the deviated state will remain the same or become even worse.
逆に、被焼却物の搬送速度を所定時間下降させて、燃焼
室の被焼却物の容量を減少させると、それまでが”ゴミ
山盛り”であったならばそれか解消されて設定範囲に入
るか改善されるし、“ゴミ切れ”であったならば逸脱し
た状態は変わらないか更に程度かひとくなる。Conversely, if the conveyance speed of the material to be incinerated is lowered for a predetermined period of time and the volume of the material to be incinerated in the combustion chamber is reduced, if there was a ``heap of garbage'' up until then, that problem will be resolved and the amount will fall within the set range. If it is "out of garbage", the deviated state will remain the same or become even worse.
そのときのプロセスデータからそれまでの状態を診断す
ることができる。The state up to that point can be diagnosed from the process data at that time.
従って、本発明による焼却炉の燃焼制御装置によれば、
被焼却物か燃焼室内に溜まり燃焼し難い状態である“ゴ
ミ山盛り”や被焼却物か燃焼室内に僅かとなる“ゴミ切
れ”を正確に判断することができるようになった。Therefore, according to the combustion control device for an incinerator according to the present invention,
It is now possible to accurately determine whether there is a pile of trash in the combustion chamber, where the incineration material has accumulated in the combustion chamber, making it difficult to burn, or whether there is a small amount of trash in the combustion chamber.
（実施例〕 以下に本発明の実施例を図面に基づいて説明する。(Example〕 Embodiments of the present invention will be described below based on the drawings.
第３図に示すように、都市ゴミ用の焼却炉（１）、燃焼
室（２）と、ゴミを投入するホッパ（３）と、燃焼済の
灰を集める灰ピット（４）等から構成しである。As shown in Figure 3, the incinerator consists of an incinerator (1) for municipal waste, a combustion chamber (2), a hopper (3) for charging the waste, and an ash pit (4) for collecting the burned ash. It is.
該ホッパ（３）に投入されたゴミは、ブツシャ（５）に
より該燃焼室（２）に搬送される。該燃焼室（２）は、
乾燥帯（６）、燃焼帯（７）、後燃焼帯（８）の三ブロ
ックで構成してあり、上向摺動式のストーカ（２ａ）、
（２ｂ）、 （２ｃ）により各ブロックに順次搬送さ
れる。The garbage thrown into the hopper (3) is conveyed to the combustion chamber (2) by a busher (5). The combustion chamber (2) is
It consists of three blocks: a drying zone (6), a combustion zone (7), and an after-combustion zone (8), and an upward sliding stoker (2a).
(2b) and (2c) are sequentially transported to each block.
燃焼用空気を炉床や炉壁から供給してあり、該乾燥帯（
６）ではゴミを熱風で乾燥させ、該燃焼帯（７）ではゴ
ミを焼却し、該後燃焼帯（８）では焼却灰に完全燃焼さ
せる。Combustion air is supplied from the hearth and furnace walls, and the dry zone (
In step 6), the trash is dried with hot air, the trash is incinerated in the combustion zone (7), and completely combusted into incinerated ash in the post-combustion zone (8).
尚、該燃焼帯（７）でゴミは初期にバーナ（９）で点火
される。Incidentally, in the combustion zone (7), the dust is initially ignited by the burner (9).
該後燃焼帯（８）で燃え尽きたゴミは灰として灰押し出
し装置（１０）に落下し、灰出しコンベア（１１）によ
り該灰ビット（４）に搬送される。The trash burnt out in the post-combustion zone (8) falls as ash into the ash extrusion device (10) and is conveyed to the ash bit (4) by the ash extraction conveyor (11).
該燃焼室（２）で発生した燃焼排ガスを、廃熱ボイラ（
１２）によって熱エネルギーを蒸気の形で取り出し、発
電機（１３）等のエネルギーとして利用すべく場外に供
給する一方、電気集塵機等からなる排ガス処理段＠（１
４）によりばいじんや有害ガスを除去して排気する。The combustion exhaust gas generated in the combustion chamber (2) is transferred to the waste heat boiler (
12) extracts thermal energy in the form of steam and supplies it outside the plant to be used as energy for a generator (13), etc., while an exhaust gas treatment stage @ (1
4) Remove and exhaust dust and harmful gases.
第１図に示すように、該焼却炉（１）の燃焼制御装置（
２０）は、該燃焼室（２）内各所に配したプロセスデー
タ検出手段である温度センサ、ガスセンサ等の各種セン
サの出力情報であるプロセスデータに基づき、ブツシャ
（５）の速度を制御して該燃焼室（２）に送り込むゴミ
量を増減するとともに、ストーカ速度、圧力、温度、空
気量等を制御することで適切な燃焼制御を行う。As shown in FIG. 1, the combustion control device (
20) controls the speed of the bushing (5) based on process data, which is output information from various sensors such as a temperature sensor and a gas sensor, which are process data detection means arranged at various places in the combustion chamber (2). Appropriate combustion control is performed by increasing or decreasing the amount of dust fed into the combustion chamber (2) and controlling the stoker speed, pressure, temperature, air amount, etc.
つまり、ブツシャ（５）と燃焼制御装置（２０）とがプ
ロセスデータに基づいて炉内への被焼却物の搬送量を増
減制御する搬送量制御手段を構成する。In other words, the bushing (5) and the combustion control device (20) constitute a conveyance amount control means for controlling the amount of conveyance of the material to be incinerated into the furnace to be increased or decreased based on the process data.
しかし、ゴミが炉内に満載されて燃えにくい“ゴミ山盛
り”やゴミが炉内に僅かしかない“ゴミ切れ”の状態か
発生する場合かある。However, there are cases where the furnace is full of garbage and is difficult to burn, such as a ``heap of garbage,'' or a condition where there is only a small amount of garbage in the furnace, which is ``out of garbage.''
例えば、“ゴミ山盛り”や“ゴミ切れ”の判断に重要な
データである炉出口温度が共に低下するといったように
それらの識別が非常に紛られしいために適切な制御か行
われないことかあるからである。For example, the temperature at the furnace outlet, which is important data for determining whether "garbage is piled up" or "garbage is out," decreases at the same time.It is very confusing to distinguish between these two items, so appropriate control may not be carried out. It is from.
この場合、該燃焼制御装置（２０）による燃焼制御が正
常か否かを診断するために燃焼状態診断装置を設けてあ
り、その出力に基づいて、異常状態が発生することが確
認されると運転員が修正運転を行う。In this case, a combustion condition diagnosis device is provided to diagnose whether the combustion control by the combustion control device (20) is normal or not, and if it is confirmed that an abnormal condition occurs based on the output, the operation starts. A staff member performs corrective operation.
燃焼状態診断装置は、該燃焼室（２）の燃焼状態データ
を出力するニューラルネットワーク（２１）と、該ニュ
ーラルネットワーク（２１）の出力を入力として該燃焼
室（２）の燃焼傾向データを出力するエキスパートシス
テム（３０）とで構成しである。The combustion state diagnosis device includes a neural network (21) that outputs combustion state data of the combustion chamber (2), and outputs combustion tendency data of the combustion chamber (2) using the output of the neural network (21) as input. It consists of an expert system (30).
詳述すると、第２図に示すように、該ニューラルネット
ワーク（２１）は、所定単位のメモリーで構成された複
数のニューロン（２２ａ）でなる入力層（２２）と、該
入力層（２２）からの出力データを所定の重みで関連付
けて中間出力する同じく複数のニューロン（２３ａ）で
なる中間層（２３）と、該中間層（２３）からの出力を
所定の重みで関連付けて該燃焼室（２）の燃焼状態デー
タとしての“ゴミ切れ指数”、“ゴミ山盛り指数”を出
力する二つのニューロン（２４ａ）でなる出力層（２４
）と、入力されたプロセスデータを中間層から出力層へ
所定の重みをもって乗加算する演算装置（論理素子やマ
イクロコンピュータ）で構成しである。More specifically, as shown in FIG. 2, the neural network (21) includes an input layer (22) consisting of a plurality of neurons (22a) configured with a predetermined unit of memory, and a and an intermediate layer (23) made up of a plurality of neurons (23a) that correlates the output data of the combustion chamber (23) with a predetermined weight and outputs an intermediate output; ) is an output layer (24
) and an arithmetic unit (logic element or microcomputer) that multiplies and adds input process data from the intermediate layer to the output layer with a predetermined weight.
該入力層（２２）には、ゴミの燃焼状況を監視する撮像
手段（１５）としての産業用テレビカメラ（ＩＴＶ）の
画像情報である乾燥帯炎等や、ブツシャ速度、ストーカ
速度、炉出口温度等各種センサの出力情報、該燃焼制御
装置（２０）による制御出力でなるプロセスデータを０
から！００の範囲で正規化したものであって過去１０分
間の平均値が１分毎に入力される。The input layer (22) includes image information such as dry zone flame from an industrial television camera (ITV) as an imaging means (15) for monitoring the combustion status of garbage, butcher speed, stoker speed, and furnace outlet temperature. The process data consisting of the output information of various sensors such as the control output of the combustion control device (20) is
from! The average value for the past 10 minutes is normalized within the range of 00 and is input every minute.
該出力層（２４）から出力される“ゴミ切れ指数”、“
ゴミ山盛り指数”は、０．０から１．０の範囲の数値で
表され、“良好（０，０から０．２）”、”兆候（０，
４から０．６）”、“発生（０，７から１．０）”とい
った具合に評価される。The “garbage cutting index” output from the output layer (24), “
The garbage heaping index is expressed as a numerical value ranging from 0.0 to 1.0.
4 to 0.6)” and “occurrence (0.7 to 1.0).”
該ニューラルネットワーク（２１）で用いられる所定の
重みは、“ゴミ切れ指数”や“ゴミ山盛り指数”が“発
生（１，０）”となる燃焼プロセスデータを教師信号と
して入力する教師信号入力手段（２５）と、その入力時
に該ニューラルネットワーク（２１）の出力かそれらに
対応して“発生（１，０）”となるように調整する学習
手段（２６）による予めの学習（パックプロパゲーショ
ン）によって決定され各々メモリに記憶される。The predetermined weights used in the neural network (21) are determined by a teacher signal input means (21) that inputs combustion process data in which the "garbage depletion index" and "garbage heaping index" are "occurrence (1, 0)" as a teacher signal. 25), and by prior learning (pack propagation) by the learning means (26) that adjusts the output of the neural network (21) or correspondingly to "occurrence (1, 0)" at the time of input. determined and each stored in memory.
該エキスパートシステム（３０）は、該ニューラルネッ
トワーク（２１）の１分毎の出力を事実データとして記
憶する記憶エリア（３１）と、燃焼状態を判断するプロ
ダクションルールを記憶するルールベース（３２）と、
事実データとプロダクションルールとから時系列的変化
の様子を示す燃焼傾向データを出力する推論エンジン（
３３）とで構成しである。The expert system (30) includes a storage area (31) that stores the minute-by-minute output of the neural network (21) as fact data, and a rule base (32) that stores production rules for determining combustion conditions.
An inference engine that outputs combustion trend data that shows time-series changes from factual data and production rules (
33).
例えば、
条件： ゴミ切れ指数〉０．７
且つ、
ゴミ山盛り指数〈０．３
が２分間以上連続する
結論： ゴミ切れ発生
とか、
条件： ０．４＜ゴミ切れ指数〈０．７で、ゴミ切
れ指数が上昇
且つ、
ゴミ山盛り指数〈０゜３
結論： ゴミ切れ兆候発生
とか、
条件： ゴミ切れ指数〉０．７
゛ 且つ、
ゴミ山盛り指数〉０．７
結論：ゴミ切れかゴミ山盛りかの燃焼悪化発生のように
実行される。For example, conditions: Garbage out index>0.7 and garbage heaping index <0.3 for more than 2 minutes.Conclusion: Garbage out has occurred.Condition: 0.4<garbage out index<0.7, garbage out. The index increases and the garbage heaping index is <0°3. Conclusion: Signs of garbage running out occur. Conditions: Garbage running out index > 0.7 ゛ and garbage heaping index > 0.7 Conclusion: Combustion deterioration due to garbage running out or garbage heaping up. Runs like an outbreak.
上述の第３例では、“ゴミ切れ指数”、゛ゴミ山盛り指
数”はともに“０．７”以上となり、何れであるか特定
できない。この場合、該エキスパートシステム（３０）
の出力情報、例えば、ＣＲＴ、プリンタ、音声出力装置
等を介した出力情報に基づき、運転員か該搬送量制御手
段による被焼却物の搬送を設定時間強制的に行うことに
より、設定時間経過後のプロセスデータに基づいて何れ
かが特定される。In the third example described above, both the "garbage out index" and the "garbage accumulation index" are "0.7" or more, and it is not possible to determine which one is. In this case, the expert system (30)
For example, based on the output information from a CRT, printer, audio output device, etc., the operator or the conveyance amount control means can force the conveyance of the materials to be incinerated for a set time. Which one is specified based on the process data of.
以下に本発明の別実施例を説明する。 Another embodiment of the present invention will be described below.
先の実施例では、燃焼状態診断装置としてニューラルネ
ットワークとエキスパートシステムを組み合わせたもの
を説明したか、燃焼状態診断装置の構成は任意であって
よく、例えばニューラルネットワークのみで構成しても
よい。In the previous embodiments, a combination of a neural network and an expert system has been described as a combustion state diagnosis device, but the structure of the combustion state diagnosis device may be arbitrary, for example, it may be composed only of a neural network.
先の実施例では、“ゴミ切れ指数”、“ゴミ山盛り指数
”がともに“０．７”以上となったときに、運転員が該
搬送量制御手段による被焼却物の搬送を設定時間強制的
に行っているか、運転員か該搬送量制御手段による被焼
却物の搬送を設定時間停止させてもよい。In the previous embodiment, when the "garbage out index" and the "garbage heaping index" both exceed "0.7", the operator forces the transport amount control means to transport the materials to be incinerated for a set time. The operator may stop the conveyance of the material to be incinerated by the conveyance amount control means for a set time.
尚、設定時間値は特に指定するものではなく、焼却炉の
規模により設定すればよい。Note that the set time value is not particularly specified, and may be set depending on the scale of the incinerator.
さらには、運転員が該搬送量制御手段による被焼却物の
搬送を手動制御するのではなく、診断装置の出力信号に
よって、該搬送量制御手段を直接に制御してもよい。Furthermore, instead of the operator manually controlling the conveyance of the materials to be incinerated by the conveyance amount control means, the conveyance amount control means may be directly controlled by the output signal of the diagnostic device.
先の実施例では、異常状態として″ゴミ山盛り”、“ゴ
ミ切れ“を検出しているか、異常状態はこれに限定する
ものではなく、例えば、炉出口温度が異常に大となる“
過剰焼燃焼”等も診断対象とすることかできる。In the above embodiment, the abnormal state is detected as "heaps of trash" or "out of trash," or the abnormal state is not limited to these, but for example, "the furnace outlet temperature becomes abnormally high."
``Excessive combustion'' etc. can also be targeted for diagnosis.
先の実施例では、燃焼プロセスデータとして０から１０
０の範囲で正規化したものであって、過去１０分間の平
均値を１分毎に入力しているが、燃焼プロセスデータの
時系列的な入力はこれに限定するものではなく任意であ
る。、先の実施例では、ニューラルネットワークの構成
を、入力層、中間層、出力層の三層で構成しであるか、
これに限定するものでな（任意である。In the previous example, the combustion process data is 0 to 10.
It is normalized within the range of 0, and the average value for the past 10 minutes is input every minute, but the time-series input of combustion process data is not limited to this and is arbitrary. In the previous embodiment, the configuration of the neural network is composed of three layers: an input layer, a middle layer, and an output layer.
It is not limited to this (it is optional).
さらに、出力層を、燃焼状態データとしての“ゴミ切れ
指数”、“ゴミ山盛り指数”を出力する二つのニューロ
ンで構成しているが、ニューラルネットワークとしては
、“ゴミ切れ指数”を出力するものと、“ゴミ山盛り指
数”を出力するものとの二つのニューラルネットワーク
で −構成してもよい。この場合、ニューラルネットワ
ークの演算速度はより高速となる。Furthermore, the output layer is composed of two neurons that output "garbage out index" and "trash heaping index" as combustion state data, but as a neural network, it outputs "trash out index". , and one that outputs the “garbage heaping index”. In this case, the calculation speed of the neural network becomes faster.
図面は本発明に係る焼却炉の燃焼状態診断装置の実施例
を示し、第１図は全体のブロック構成図、第２図はブロ
ック構成図、第３図は焼却炉のブロック図である。
（２１）・・・・・・ニューラルネットワーク、（３０
）・・・・・・エキスパートシステム。The drawings show an embodiment of the combustion state diagnosis device for an incinerator according to the present invention, in which FIG. 1 is an overall block diagram, FIG. 2 is a block diagram, and FIG. 3 is a block diagram of the incinerator. (21)...Neural network, (30
)...Expert system.
Claims (1)
データ検出手段と、該プロセスデータに基づいて炉内へ
の被焼却物の搬送量を増減制御する搬送量制御手段とか
らなる燃焼制御装置を備えてある焼却炉に対して、該プ
ロセスデータに基づき炉内燃焼状態が正常であるか異常
であるかを診断する燃焼状態診断装置であって、該燃焼
状態診断装置が複数の異常状態のうち相反する異常状態
を共に出力したときに、搬送量制御手段による被焼却物
の搬送を設定時間行った後の該プロセスデータから何れ
かの異常状態を特定し、或いは搬送量制御手段による被
焼却物の搬送を設定時間停止した後の該プロセスデータ
から何れかの異常状態を特定する手段を備えた燃焼状態
診断装置。A combustion control device comprising a process data detection means for detecting process data indicating a combustion state in the furnace, and a conveyance amount control means for controlling an increase/decrease in the amount of material to be incinerated conveyed into the furnace based on the process data. A combustion state diagnosis device for diagnosing whether the in-furnace combustion state is normal or abnormal for a certain incinerator based on the process data, the combustion state diagnosis device diagnosing whether the combustion state in the furnace is normal or abnormal based on the process data, the combustion state diagnosis device When both abnormal states are output, either one of the abnormal states is identified from the process data after the conveyance amount control means has carried out the conveyance of the incineration material for a set time, or the conveyance amount control means has conveyed the incineration object. A combustion state diagnostic device comprising means for identifying any abnormal state from the process data after the process has been stopped for a set time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2287945A JPH0754171B2 (en) | 1990-10-24 | 1990-10-24 | Combustion condition diagnostic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2287945A JPH0754171B2 (en) | 1990-10-24 | 1990-10-24 | Combustion condition diagnostic device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH04161711A true JPH04161711A (en) | 1992-06-05 |
| JPH0754171B2 JPH0754171B2 (en) | 1995-06-07 |
Family
ID=17723772
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2287945A Expired - Lifetime JPH0754171B2 (en) | 1990-10-24 | 1990-10-24 | Combustion condition diagnostic device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0754171B2 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06348675A (en) * | 1993-06-07 | 1994-12-22 | Ebara Corp | Neuro-computer application equipment and machinery provided with the neuro-computer application equipment |
| CN117387077A (en) * | 2023-12-12 | 2024-01-12 | 江苏恩菲环保装备有限公司 | Incinerator based on fuel regulation and control supply |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60228813A (en) * | 1984-04-26 | 1985-11-14 | Hitachi Zosen Corp | Trouble shooting process of waste incinerating plant |
| JPS6351936A (en) * | 1986-08-22 | 1988-03-05 | Hisayoshi Matsuyama | Method for diagnosing abnormality of process |
| JPS63240602A (en) * | 1987-03-27 | 1988-10-06 | Toyoda Mach Works Ltd | Abnormality diagnosing device for sequence controller |
-
1990
- 1990-10-24 JP JP2287945A patent/JPH0754171B2/en not_active Expired - Lifetime
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60228813A (en) * | 1984-04-26 | 1985-11-14 | Hitachi Zosen Corp | Trouble shooting process of waste incinerating plant |
| JPS6351936A (en) * | 1986-08-22 | 1988-03-05 | Hisayoshi Matsuyama | Method for diagnosing abnormality of process |
| JPS63240602A (en) * | 1987-03-27 | 1988-10-06 | Toyoda Mach Works Ltd | Abnormality diagnosing device for sequence controller |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06348675A (en) * | 1993-06-07 | 1994-12-22 | Ebara Corp | Neuro-computer application equipment and machinery provided with the neuro-computer application equipment |
| CN117387077A (en) * | 2023-12-12 | 2024-01-12 | 江苏恩菲环保装备有限公司 | Incinerator based on fuel regulation and control supply |
| CN117387077B (en) * | 2023-12-12 | 2024-03-12 | 江苏恩菲环保装备有限公司 | Incinerator based on fuel regulation and control supply |
Also Published As
| Publication number | Publication date |
|---|---|
| JPH0754171B2 (en) | 1995-06-07 |
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