JPS62839A - Method for measuring moisture of raw material for sintered ore by infrared moisture meter - Google Patents
Method for measuring moisture of raw material for sintered ore by infrared moisture meterInfo
- Publication number
- JPS62839A JPS62839A JP60138900A JP13890085A JPS62839A JP S62839 A JPS62839 A JP S62839A JP 60138900 A JP60138900 A JP 60138900A JP 13890085 A JP13890085 A JP 13890085A JP S62839 A JPS62839 A JP S62839A
- Authority
- JP
- Japan
- Prior art keywords
- moisture
- value
- calibration
- raw material
- deviation
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000002994 raw material Substances 0.000 title claims description 46
- 238000012937 correction Methods 0.000 claims abstract description 10
- 238000002156 mixing Methods 0.000 claims description 4
- 238000007619 statistical method Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 abstract description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 10
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 8
- 239000000203 mixture Substances 0.000 description 8
- 238000005245 sintering Methods 0.000 description 7
- 238000002347 injection Methods 0.000 description 6
- 239000007924 injection Substances 0.000 description 6
- 235000019738 Limestone Nutrition 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 229910052742 iron Inorganic materials 0.000 description 4
- 239000006028 limestone Substances 0.000 description 4
- 238000007796 conventional method Methods 0.000 description 3
- 239000006185 dispersion Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000009472 formulation Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005469 granulation Methods 0.000 description 1
- 230000003179 granulation Effects 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3554—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for determining moisture content
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
Description
【発明の詳細な説明】
（産業上の利用分野）
本発明は、焼結に製造工程において焼結鉱の原料となる
鉄鉱石、石灰石等を混合した混合原料の赤外線水分計に
よる水分測定方法に関する。Detailed Description of the Invention (Industrial Application Field) The present invention relates to a method for measuring moisture using an infrared moisture meter of a mixed raw material in which iron ore, limestone, etc., which are raw materials for sintered ore, are mixed into sinter in the manufacturing process. .
（従来の技術）
焼結鉱製造工程において、焼結鉱の原料となる鉄鉱石、
石灰石等を混合した混合原料の水分値は焼結機上の原料
′ａ気度を管理するために重要であり、製造工程におい
ては水分を一定値とする制御が行われている。(Conventional technology) In the sintered ore manufacturing process, iron ore, which is the raw material for sintered ore,
The moisture content of the mixed raw material mixed with limestone, etc. is important for controlling the temperature of the raw material on the sintering machine, and the moisture content is controlled to a constant value in the manufacturing process.
しかし、この混合原料の水分値をオンラインで！続的に
測定することは非常に困難であり、従来は混合原料水分
値の測定は定期的なサンプリングと絶乾法とくよってバ
ッチ的に行わ九ていた。However, check the moisture value of this mixed raw material online! Continuous measurement is very difficult, and conventionally, the moisture content of mixed raw materials has been measured in batches using periodic sampling and bone-drying methods.
この水分値をオンラインで連続的に測定する逢めに開発
された測定装置が赤外線水分計であって、比較的精度が
高く安定であるため、広く用いられろようになってきた
。この赤外線水分計は、例えば特開昭５９−７２０４７
号に開示されている如く、検出し念赤外線ｆｆｉを換算
器に導入し、換算器に予め記憶した赤外線散と水分量と
の関係を示す検［１にエリ水分値に換算して出力するも
のである。An infrared moisture meter was developed to continuously measure this moisture value online, and because it is relatively accurate and stable, it has come to be widely used. For example, this infrared moisture meter is
As disclosed in the above issue, the detected infrared ffi is introduced into a converter, and the relationship between the infrared dispersion stored in advance in the converter and the moisture content is calculated [1] and output after being converted to an eri moisture value. It is.
赤外線水分計を使用する焼結原料水分の制御システムに
ついて次に説明する。Next, a sintering raw material moisture control system using an infrared moisture meter will be described.
第１図は制御システムの系統図であって、同図ＶＣＶｉ
鉄鉱石と石灰石等を配合する原料配合槽１と、原料鉱石
をミキサー３に運ぶコンベア２と、原料鉱石に水分を添
加することにより所定の水分量とし、攪拌と混合を行い
焼結原料の擬似粒子化を行うミキサー３と、ミキサー３
かも排出され、予備処理の完テした焼結原料がコンベア
で搬送されてゆく間に、所定距離をへだて＼配設され水
分測定全行う赤外線水分計４と、ミキサー３内で焼結原
料の水分制御を行う水分制御手段５とが示されている。Figure 1 is a system diagram of the control system, and the figure VCVi
A raw material blending tank 1 that mixes iron ore, limestone, etc., a conveyor 2 that conveys the raw ore to a mixer 3, and a conveyor 2 that conveys the raw ore to a mixer 3, which adds moisture to the raw ore to obtain a predetermined moisture content, stirs and mixes it, and creates a simulated sintering raw material. Mixer 3 that performs granulation and Mixer 3
While the pre-processed sintered raw material is discharged and conveyed by a conveyor, an infrared moisture meter 4 is installed at a predetermined distance and performs all moisture measurement, and an infrared moisture meter 4 is placed at a predetermined distance and the water content of the sintered raw material is measured in the mixer 3. A moisture control means 5 for controlling the water content is shown.
水分制御は通常プロセスコンピューターあるいは直接デ
ジタル制御（ＤＤＣ）などのアドバンスト制御機能を有
する計装制御システムで行われ、鉄鉱石、石灰石等を混
合した混合原料の水分値６と、目標水分設定器による設
定値９との差異に基いてミキサー３において必要な注水
Ｍ８を求め、この注水；１１ ＜制御することにより所
定水分値への制御が行われろ。また赤外線水分計４はミ
キサー３から排出されろ焼結原料の水分量を連続的Ｉｃ
銅定し、測定値７５ｃ制御手段５にフィードバックし補
正する。このようにフィードフォワード制御にフィード
バック補正を加え比制御システムではフィードフォワー
ド機能によって偏差をゼロに近づけ、フィードバック補
正で偏差のバラツキが少なく出来るので、制御性は非常
に良く、長時間平均で見几場合の水分値の目標値からの
偏差はほぼゼロである。Moisture control is usually performed using a process computer or an instrumentation control system with advanced control functions such as direct digital control (DDC), and the moisture value of the mixed raw material containing iron ore, limestone, etc.6 and the target moisture setting device are used to control the moisture content. The required water injection M8 in the mixer 3 is determined based on the difference from the value 9, and the water injection is controlled to a predetermined water value by controlling the water injection; In addition, an infrared moisture meter 4 continuously measures the moisture content of the sintered raw material discharged from the mixer 3.
The measured value 75c is fed back to the control means 5 and corrected. In this way, in a ratio control system that adds feedback correction to feedforward control, the feedforward function brings the deviation closer to zero, and the feedback correction can reduce the variation in deviation, so controllability is very good, and if the long-term average is The deviation of the moisture value from the target value is almost zero.
（発明が解決しようとする問題点）
しかしながら、赤外線水分計は特開昭５９−７２０４７
号により開示されている大気水分による影響のほか、原
理的に被測定物の粒度等の形状２色、化学成分等が変化
すると同一水分値の対象物であっても異なる指示値を示
すという特性をもつ。すなわち混合原料水分値の測定に
赤外線水分計を使用する場合、混合原料の性状Ｆ′ｉ原
料配合変更毎に少しづつ異るため、配合変更のｔびに水
分計の校正をしなければならない。配合変更は原料事情
に本よるが普通７〜１０日の周期で行わバるため、赤外
線水分計の校正頻度が非常に高くなり、保全面での負荷
が大きく、吐た赤外線水分計の校正には実質１〜２日を
要するため、校正に要する期間だけ水分計の使用機会が
減ってしまうという問題点があった。(Problems to be solved by the invention) However, the infrared moisture meter is
In addition to the influence of atmospheric moisture as disclosed in the issue, in principle, if the particle size, shape, two colors, chemical composition, etc. of the object to be measured change, even objects with the same moisture value will show different indicated values. have. That is, when an infrared moisture meter is used to measure the moisture content of the mixed raw material, the property F'i of the mixed raw material differs slightly each time the raw material formulation is changed, so the moisture meter must be calibrated every time the formulation is changed. Changes in the formulation are normally made every 7 to 10 days, depending on the raw material situation, which means that the infrared moisture meter must be calibrated very frequently, creating a heavy maintenance burden and requiring less time to calibrate the infrared moisture meter. Since it actually takes one to two days to calibrate, there is a problem in that the opportunity to use the moisture meter is reduced by the period required for calibration.
（問題点′（ｉ−解決するための手段）本発明は、従来
の方法の有する欠点ならびに問題点を除去、改善するこ
とのできる、赤外線水分計（よる焼結に原料の水分測定
方法を提供することを目的とするものであり、特許請求
の範囲記載の赤外線水分計による焼結鉱原料の水分測定
方法を提供することによって前記目的を達成することが
できる。すなわちこの発明は赤外線水分計による焼ｉｉ
！ｉ砿原料の水分測定方法において、原料銘柄の変更や
原料配合比の変更によって生ずる水分値のドリフトを、
水分制御装置から得られろ目標水分値と水分指示値の偏
差から統計的手法を用いて自動的に補正値を算出するこ
とによって、ゼロドリフト操作による校正を行い、水分
測定をｔ連続することを特徴とする赤外線水分計に工ろ
焼結鉱原料の水分測定方法に関する。(Problem '(i-Means for Solving)) The present invention provides a method for measuring the moisture content of raw materials during sintering using an infrared moisture meter, which can eliminate and improve the drawbacks and problems of conventional methods. The object of the present invention can be achieved by providing a method for measuring the moisture content of sintered ore raw materials using an infrared moisture meter as set forth in the claims. Baked II
! i In the method of measuring the moisture content of copper raw materials, the drift in the moisture value caused by changing the raw material brand or changing the raw material blending ratio is
By automatically calculating a correction value using a statistical method from the deviation between the target moisture value obtained from the moisture control device and the moisture indication value, calibration is performed by zero-drift operation, and moisture measurement can be performed continuously for t times. This article relates to a method for measuring the moisture content of sintered ore raw materials using an infrared moisture meter.
以下本発明の方法を詳細に説明する。The method of the present invention will be explained in detail below.
本発明の方法によってもすでに第１図において説明し念
通り、原料の水分値６及び目標水分設定器による設定値
９との差異に基いてミキサー３において必要な注水量を
求め注水量を制御するフィードフォワード機能によって
偏差をゼロに近すけ、ミキサー３かも排出されろ予、備
処理が完了した焼結原料の水分を赤外線水分計で連続的
に測定し、水分制御手段５へフィードバックし、所定水
分値への制Ｔ８を行うことは従来の方法と変らない。According to the method of the present invention, as already explained in FIG. 1, the required water injection amount is determined in the mixer 3 based on the difference between the moisture value 6 of the raw material and the set value 9 from the target moisture setting device, and the water injection amount is controlled. The feedforward function brings the deviation close to zero, and the mixer 3 is also discharged.The moisture content of the sintered raw material that has been pre-processed is continuously measured using an infrared moisture meter, and fed back to the moisture control means 5 to maintain a predetermined moisture content. Performing the control T8 on the value is no different from the conventional method.
しかし焼”結原料の変更が行われ之場合、原料変更に基
〈赤外線水分計の誤差を避けろため、従来はそのａＸ校
正用試料による校正を行っているが本発明の方法によれ
ば校正を行わず単に水分計指示値の偏差を検出し、偏差
がゼロとなるように水分計に対するドリフト補正を行う
点で従来の方法と著しく異なる。However, when the sintering raw material is changed, based on the raw material change, (to avoid errors in the infrared moisture meter, calibration is conventionally performed using the aX calibration sample, but according to the method of the present invention, calibration is performed. This method differs significantly from conventional methods in that it simply detects the deviation of the moisture meter readings without performing any of the following steps, and performs drift correction on the moisture meter so that the deviation becomes zero.
フィードフォワード制御にフィードバック補正を加えた
制御システムで水分制御を行っている限り、制御された
水分値が突然異常な値を示すことは少なく、赤外線水分
計が原料の配合変更等によりて誤った値を示し念として
も、絶乾法で測定し九本分値は水分制御によって目標値
に保たれているとすれば、前記の誤った！ｄＩＦｉこれ
までの測定値と一定の偏差をとるはずである。焼結原料
の原料変更は前述のように７〜１０日間での切換え周期
であり、この原料変更に基〈赤外線分析計の誤差が発生
するならば、赤外線水分計の原理の弱点である粒度１色
、成分の差異によるものである以上、前記の偏差は一定
の値をとる。又万一制御系の故障によって水分値に：異
常が生じた場合は、この水分値の異常は変動が甚しく不
規則であり容易に判別できる。前述のように分析計の誤
差が一定の値をとるならば、高い信頼性をもって原料の
変化であると判断できる。そうであれば、従来校正用試
料を作成し、オフラインで絶乾法で測定した試料の水分
真値に水分計指示値を合せろように校正してい食代りに
、水分制御の目標値を水分真値とみなして、目標値と赤
外線水分計指示値との差を水分計自身の誤差として、水
分計を補正すれば、オンラインでの水分計の校正が可能
である。As long as the moisture content is controlled using a control system that adds feedback correction to feedforward control, the controlled moisture value will rarely suddenly show an abnormal value, and an infrared moisture meter may give an incorrect value due to a change in the raw material composition, etc. However, if we were to measure using the bone-dry method and the values for the 9 tubes were kept at the target value through moisture control, then the above-mentioned error would be incorrect! dIFi should have a certain deviation from the previously measured values. As mentioned above, the raw material change for sintering is done every 7 to 10 days, and if an error occurs in the infrared analyzer, the particle size Since it is due to differences in color and components, the above-mentioned deviation takes a constant value. Furthermore, in the event that an abnormality occurs in the moisture value due to a failure in the control system, the abnormality in the moisture value fluctuates extremely irregularly and can be easily identified. As mentioned above, if the error of the analyzer takes a constant value, it can be determined with high reliability that there is a change in the raw material. If this is the case, you can create a conventional calibration sample and calibrate the moisture meter reading to match the true moisture value of the sample measured off-line using the bone-dry method. It is possible to calibrate the moisture meter online by correcting the moisture meter by treating it as the true value and using the difference between the target value and the indicated value of the infrared moisture meter as an error of the moisture meter itself.
前述の原料変更による変化であるとの判断はコンピュー
ターに赤外線水分計の水分換算器からの水分値を数回読
み込ませ、これまでの水分平均値と比較し、雨水分値の
各平均値が同水卒で差Ｍ’に生じているならば、この差
異に見合う校正操作を行う。To determine that the change is due to the above-mentioned change in raw materials, the computer reads the moisture value from the moisture converter of the infrared moisture meter several times, compares it with the previous moisture average value, and confirms that each average rain moisture value is the same. If a difference M' occurs due to water drop, a calibration operation corresponding to this difference is performed.
第２図は赤外線水分計の校正線であるが、同図に示すよ
うに、原料ａＫ対する校正ｔｓｙ＝α２＋β２ｘと原料
すに対する校正ｉｙ＝α１＋βＩＸとすると βｌ中β
２ で校正線の傾きはほとんど変化がなく、原料ａから
ｂへの変化はα２よりαｌへのゼロドリフトが大部分で
ある。厳密には校正作業は２水準以上の水分値に対する
校正線ヲ求めるゼロスパン校正を行うべきであるが、水
分計自身の経時変化がない場合は原料配合変更の水分計
指示値に対する影響は、配合変更時にゼロ点校正（ドリ
フト補正）のみを行えば消去でき、連続して水分測定が
可能となる。Figure 2 shows the calibration line of the infrared moisture meter. As shown in the figure, if the calibration tsy for the raw material aK = α2 + β2x and the calibration for the raw material iy = α1 + βIX, β in βl
2, there is almost no change in the slope of the calibration line, and the change from raw material a to b is mostly zero drift from α2 to αl. Strictly speaking, the calibration work should be carried out by zero-span calibration to find the calibration line for moisture values of two or more levels, but if the moisture meter itself does not change over time, the effect of changing the raw material mixture on the moisture meter readings will depend on the change in the mixture. Sometimes, it can be erased by just performing zero point calibration (drift correction), allowing continuous moisture measurement.
前述の如く本発明の校正方法によれば原料配合変更等の
水分計指示値に′影響を与える事象が発生し之場合に水
分制御の目標値と水分計指示値の偏差を検出して、その
偏差がゼロとなるように水分計に対するドリフト補正を
行う。As mentioned above, according to the calibration method of the present invention, when an event that affects the moisture meter reading, such as a change in the raw material composition, occurs, the deviation between the moisture control target value and the moisture meter reading is detected and corrected. Perform drift correction on the moisture meter so that the deviation is zero.
次に本発明の校正方法を実施例によって更に詳細に説明
する。Next, the calibration method of the present invention will be explained in more detail with reference to examples.
（実施例）
第３図は本発明の自動校正機能のブロック説明図、第４
図は偏差の検定線である。(Example) Figure 3 is a block diagram of the automatic calibration function of the present invention.
The figure shows the deviation test line.
゛赤外線水分計の出力ｘｉｉプロセスコンピュータある
いはＤＤＣ等の７ドバンスド１能を有する校正演算機能
に入力される。校正演ｎ機能内には校正係数が存在し、
その校正係数に基いて正しい水分値が認識されている。``The output of the infrared moisture meter is inputted to a calibration calculation function having 7 advanced functions such as a process computer or DDC. Calibration coefficients exist within the calibration function,
The correct moisture value is known based on the calibration factor.
ま念校正演算田能の水分指示値ｙと水分制御手段におけ
ろ目標値２との偏差△Ｘは定周期でサンプリングされ、
一定時間における平均値Ｘと分散度σが演算されろ。The deviation △X between the moisture instruction value y of the calibration calculation and the target value 2 of the moisture control means is sampled at regular intervals,
Calculate the average value X and the degree of dispersion σ over a certain period of time.
校正を行うべき事象が発生し几場合、発生した時点から
一定時間にわ之って偏差の平均値Ｘ′と分散度σ′を求
める。次にＸとＸ′に差が生じているかどうかを第４図
に示す如く統計的に検定し、検定線に差が生じている場
合はその差Ｘ−ガを消去するように校正係数のバイアス
項αを校正演算機能に入力する。When an event to be calibrated occurs, the average deviation value X' and the degree of dispersion σ' are determined over a certain period of time from the time of occurrence. Next, as shown in Figure 4, statistically test whether there is a difference between X and Input the term α to the calibration calculation function.
同一制御システムの中に配合変更の機能を有する場合は
事象の発生を自動的に水分計校正機能に知らせろことが
可能である。まｔ手動入力によっても校正を開始するこ
とができる。If the same control system has a recipe change function, it is possible to automatically notify the moisture meter calibration function of the occurrence of an event. Calibration can also be started by manual input.
（発明の効果）
以上説明し之如く、本発明の方法においては原料の粒度
９色、成分等の変更による赤外線水分計の指示値の変化
をゼロドリフトのみによって補正することができ九ので
、赤外線水分計の検定をオンラインで自動的に行うこと
が可能となった。その操業合理化に及ぼす効果は大であ
る。(Effects of the Invention) As explained above, in the method of the present invention, changes in the indicated value of an infrared moisture meter due to changes in raw material particle size, color, ingredients, etc. can be corrected by zero drift only. It is now possible to automatically test moisture meters online. Its effect on streamlining operations is significant.
第１図は焼結原料水分制御システムの系統図、第２図は
赤外線水分計の校正線、第３図は本発明の自動校正機能
のブロック説明図、第４図は偏差の検定線図である。
１・・・原料配合槽、 ２・・・搬送コンベア、
３・・・ミキサードラム、 ４・・・赤外線水分計、５
・・・水分制御手段、
６・・・原料水分値（フィード・フォワード演算用）、
７・・・水分計指示値（フィードバック補正用）、８・
・・注水量設定値、 ９・・・目標水分値。Figure 1 is a system diagram of the sintering raw material moisture control system, Figure 2 is the calibration line of the infrared moisture meter, Figure 3 is a block diagram of the automatic calibration function of the present invention, and Figure 4 is the deviation verification line. be. 1... Raw material blending tank, 2... Conveyor,
3... Mixer drum, 4... Infrared moisture meter, 5
...Moisture control means, 6.Raw material moisture value (for feed forward calculation),
7...Moisture meter reading (for feedback correction), 8.
...Water injection amount set value, 9...Target moisture value.
Claims (1)
いて： 原料銘柄の変更や原料配合比の変更によつて生ずる水分
値のドリフトを、水分制御装置から得られる目標水分値
と水分指示値の偏差から統計的手法を用いて自動的に補
正値を算出することによつて、ゼロドリフト操作による
校正を行い； 水分測定を継続することを特徴とする赤外線水分計によ
る焼結鉱原料の水分測定方法。[Claims] 1. In a method for measuring the moisture content of sintered ore raw materials using an infrared moisture meter: A drift in the moisture value caused by a change in the raw material brand or a change in the raw material blending ratio is calculated by measuring the target moisture content obtained from the moisture control device. Calibration is performed using a zero-drift operation by automatically calculating a correction value using statistical methods from the deviation between the value and the moisture reading; Method for measuring moisture content of condensate raw materials.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60138900A JPS62839A (en) | 1985-06-27 | 1985-06-27 | Method for measuring moisture of raw material for sintered ore by infrared moisture meter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60138900A JPS62839A (en) | 1985-06-27 | 1985-06-27 | Method for measuring moisture of raw material for sintered ore by infrared moisture meter |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPS62839A true JPS62839A (en) | 1987-01-06 |
Family
ID=15232748
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP60138900A Pending JPS62839A (en) | 1985-06-27 | 1985-06-27 | Method for measuring moisture of raw material for sintered ore by infrared moisture meter |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS62839A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103175799A (en) * | 2011-12-22 | 2013-06-26 | 株式会社堀场制作所 | Method of calibrating and calibration apparatus for a moisture concentration measurement apparatus |
| WO2021144920A1 (en) * | 2020-01-16 | 2021-07-22 | 株式会社 エー・アンド・デイ | Moisture meter, state diagnosis method for moisture meter, and program |
-
1985
- 1985-06-27 JP JP60138900A patent/JPS62839A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103175799A (en) * | 2011-12-22 | 2013-06-26 | 株式会社堀场制作所 | Method of calibrating and calibration apparatus for a moisture concentration measurement apparatus |
| WO2021144920A1 (en) * | 2020-01-16 | 2021-07-22 | 株式会社 エー・アンド・デイ | Moisture meter, state diagnosis method for moisture meter, and program |
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