JPH02268264A - Leaking-liquid detecting apparatus - Google Patents

Leaking-liquid detecting apparatus

Info

Publication number
JPH02268264A
JPH02268264A JP8974989A JP8974989A JPH02268264A JP H02268264 A JPH02268264 A JP H02268264A JP 8974989 A JP8974989 A JP 8974989A JP 8974989 A JP8974989 A JP 8974989A JP H02268264 A JPH02268264 A JP H02268264A
Authority
JP
Japan
Prior art keywords
data
liquid
leaking
abnormality
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.)
Pending
Application number
JP8974989A
Other languages
Japanese (ja)
Inventor
Hiroshi Sato
洋 佐藤
Hiroyuki Sugibuchi
杉渕 洋幸
Shigeji Akiba
秋葉 重二
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Junkosha Co Ltd
Original Assignee
Junkosha Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Junkosha Co Ltd filed Critical Junkosha Co Ltd
Priority to JP8974989A priority Critical patent/JPH02268264A/en
Publication of JPH02268264A publication Critical patent/JPH02268264A/en
Pending legal-status Critical Current

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  • Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)

Abstract

PURPOSE:To improve detecting accuracy by preventing erroneous detection at an input stage of measured data and a judging stage for leaking of liquid. CONSTITUTION:The electric characteristics of a sensor 1 are changed by the occurrence of the leaking of liquid. The data in the sensor are read with a data reading means 2. Of all the data of one cycle, the maximum and minimum values are removed and the average value of the remaining data is outputted from an average-data computing means 3 as the measured value. When the output data of the means 3 exceed an allowance value (a) or the changing amount per unit time exceeds the allowance value, an abnormality detection signal is outputted from an abnormality detecting means 4. When the abnormal signals are outputted continuously at least twice, a leaking-liquid judging means 5 outputs a leaking-liquid detection signal (b). Thus the highly precise detection of the leaking of liquid can be performed.

Description

【発明の詳細な説明】 [産業上の利用分野] 本発明は、漏液に触れることにより抵抗値やインピーダ
ンス等の電気的特性の変化するセンサを用いて漏液の発
生を検知する装置に関する。
DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention relates to a device that detects the occurrence of liquid leakage using a sensor whose electrical characteristics, such as resistance value and impedance, change upon contact with liquid leakage.

[従来の技術] 従来の漏液検知装置においては、マイクロコンピュータ
を搭載した装置本体により、例えば5秒間に1回の間隔
でセンサの電気的特性値(抵抗値等)を計測して、その
計測データに基づいて漏液発生の有無の判定を行ってい
る。
[Prior art] In a conventional liquid leakage detection device, the electrical characteristic value (resistance value, etc.) of the sensor is measured, for example, once every 5 seconds by a device body equipped with a microcomputer. The presence or absence of leakage is determined based on the data.

[発明が解決しようとする課題] しかし、実際にセンサの抵抗値等を読み取るに要する時
間は数百m5ec程度の極めて短い時間であり、その間
にノイズが混入すると、計測精度が落ち誤動作の可能性
が生じるという問題があった。
[Problem to be solved by the invention] However, the time required to actually read the resistance value etc. of the sensor is extremely short, about several hundred m5ec, and if noise gets mixed in during that time, measurement accuracy may drop and malfunction may occur. There was a problem that this occurred.

[課題を解決するための手段] 本発明は、上記の問題点を解消するため、第1図にその
構成を示すように、漏液発生により電気的特性の変化す
るセンサ1から1サイクル内に複数回データを読み取る
データ読み取り手段2と、該データ読み取り手段2の読
み取った1サイクルの全データのうち最大・最小のもの
を除く残りのデータの平均値を算出して、その平均値を
計測データとして出力する平均データ算出手段3と、該
平均データ算出手段3の出力するデータが許容値を越え
たときまたは該データの単位時間当たりの変化分が許容
値を越えたとき異常検知信号を発する異常検知手段4と
、該異常検知手段から異常検知信号が少なくとも2回連
続して発せられたとき漏液発生と判断して漏液検知信号
を発する漏液判定手段5と、を備えている。
[Means for Solving the Problems] In order to solve the above-mentioned problems, the present invention, as shown in the configuration in FIG. A data reading means 2 that reads data multiple times calculates the average value of the remaining data excluding the maximum and minimum among all the data read in one cycle by the data reading means 2, and the average value is used as the measured data. and an abnormality that generates an abnormality detection signal when the data output by the average data calculation means 3 exceeds a tolerance value or when the change per unit time of the data exceeds a tolerance value. It is provided with a detection means 4 and a liquid leakage determination means 5 which determines that a liquid leakage has occurred and issues a liquid leakage detection signal when the abnormality detection signal is emitted from the abnormality detection means at least twice in succession.

[作用] 本発明の漏液検知装置においては、平均データ算出手段
3が、計測データのうちの最大・最小のものを切り捨て
た後に平均値を出力するので、例えばデータ中にノイズ
が混入している場合にも、そのノイズ混入データを切り
捨てることができ、ノイズが混入しないデータだけを正
規の計測データとして採用することができる。
[Function] In the liquid leakage detection device of the present invention, the average data calculation means 3 outputs the average value after cutting off the maximum and minimum of the measured data, so it is possible to prevent noise from entering the data, for example. Even if there is noise, the noise-containing data can be discarded, and only the noise-free data can be adopted as regular measurement data.

また、例えばノイズの影響で異常検知手段が異常検知信
号を発しても、それが2回以上連続しないと漏液発生と
判断しない。したがって、ノイズを拾った場合にも、誤
った検知結果を出力するおそれがほとんどなくなる。
Further, even if the abnormality detection means issues an abnormality detection signal due to the influence of noise, for example, it will not be determined that a liquid leak has occurred unless this occurs two or more times in succession. Therefore, even if noise is picked up, there is almost no possibility of outputting an erroneous detection result.

[実施例] 以下、本発明の一実施例を図面を参照しなから詳細に説
明する。
[Example] Hereinafter, an example of the present invention will be described in detail with reference to the drawings.

第2図は実施例の漏液検知装置の概略構成を示している
。この装置は、装置本体中にマイクロコンピュータ10
SA/D変換器11、クロック12が装備されており、
センサ1からの信号がA/D変換器11を介してマイク
ロコンピュータ10に入力されるようになっている。
FIG. 2 shows a schematic configuration of a liquid leakage detection device according to an embodiment. This device has a microcomputer 10 inside the device body.
Equipped with SA/D converter 11 and clock 12,
A signal from the sensor 1 is input to a microcomputer 10 via an A/D converter 11.

マイクロコンピュータ10は、機能的には第1図に示し
たデータ読み取り手段2、平均データ算出手段3、異常
検知手段4、漏液判定手段5を構成しており、所定のプ
ログラムに従ってセンサ1の抵抗値を読み取って漏液発
生の有無を判断し、その結果を警報やその他の方法で出
力する。
The microcomputer 10 functionally constitutes the data reading means 2, the average data calculation means 3, the abnormality detection means 4, and the leakage determination means 5 shown in FIG. The value is read to determine whether leakage has occurred, and the results are output as an alarm or other method.

この場合、第3図に示すように、計測、演算、判定は5
秒を1サイクル(CYCLE)として行い、1サイクル
の5秒間に1秒間隔で4回センサ1のデータを読み取る
(サンプリングする)。1回のサンプリングに要する時
間はl Q Q m5ecである。
In this case, as shown in Figure 3, measurement, calculation, and judgment are performed in five steps.
One second is considered as one cycle (CYCLE), and the data of the sensor 1 is read (sampled) four times at 1 second intervals during 5 seconds of one cycle. The time required for one sampling is l Q Q m5ec.

そして、サンプリングを4回行ったら、残りの時間内で
サンプリングデータのうちの最大・最小のものを切り捨
て、残りの2つのデータの平均値を算出する。以降、そ
の平均値を計測データとしてデータ処理する。その処理
の内容を第4図に基づいて説明する。
After sampling is performed four times, the maximum and minimum sampling data are discarded within the remaining time, and the average value of the remaining two data is calculated. Thereafter, data processing is performed using the average value as measurement data. The details of the processing will be explained based on FIG. 4.

実際の漏液判定のモードには、高速漏液、中速漏液、低
速漏液がある。高速漏液モードでは1サイクル毎の計測
データに基づいて判定し、中速、低速漏液モードはもっ
と長い時間にわたる監視のもとに漏液判定を行うもので
ある。ノイズの混入による誤検知は高速漏液判定モード
で起こるので、ここでは、高速漏液判定のモードについ
てのみ説明する。
Actual liquid leakage determination modes include high-speed liquid leakage, medium-speed liquid leakage, and low-speed liquid leakage. In the high-speed leakage mode, determination is made based on measurement data for each cycle, and in the medium-speed and low-speed leakage modes, leakage determination is performed based on monitoring over a longer period of time. Erroneous detection due to noise contamination occurs in the high-speed liquid leakage determination mode, so only the high-speed liquid leakage determination mode will be described here.

上記のように1サイクル毎にデータの平均値を算出する
(第4図のステップ101)と、そのサイクル内におい
て該データに基づいてオーブン故障(断線)か、ショー
ト故障(短絡)か、フォルト故障(経時劣化により抵抗
値が通常使用の許容範囲を越える現象)かを判断する(
ステップ102.103.104)。そして、故障の場
合はそれぞれの故障に応じたフラグをセットした後、過
去にこの種の故障(エラー)があったか否かを判断しく
ステップ108)、ない場合は「1回エラー有りフラグ
」をセットして前回のデータを保持しくステップ109
)、この回の処理を終了する。
When the average value of the data is calculated for each cycle as described above (step 101 in Figure 4), it is determined whether there is an oven failure (disconnection), a short circuit failure, or a fault failure within that cycle based on the data. (a phenomenon in which the resistance value exceeds the allowable range for normal use due to deterioration over time)
Steps 102.103.104). In the case of a failure, after setting a flag corresponding to each failure, it is determined whether or not there has been a failure (error) of this type in the past (Step 108), and if there has been no failure, the "one-time error flag" is set. Step 109 to retain the previous data.
), this time's processing ends.

また、過去に同様のエラーがあった場合は、正式にエラ
ーと認めて「エラーフラグJをセットするとともに、「
1回エラー有りフラグ」をリセットする(ステップ11
0)。
Additionally, if a similar error has occurred in the past, it will be officially recognized as an error and the error flag J will be set.
Reset the 1-time error flag (step 11)
0).

また、今回の処理においてオープン、ショート、フォル
トのいずれでもない場合にも、決定エラーがある場合は
処理が終了となる(ステップ111)。
Furthermore, even if there is no open, short, or fault in the current process, if there is a determination error, the process ends (step 111).

そして、決定エラーでもない場合は、前回異常検知した
か否かを判断しくステップ120)、異常検知をしてい
ない場合は前回のデータを読み込んで今回のデータと比
較し異常か否かの判断を行う(ステップ121.123
.124)。また、前回異常検知をしていた場合は、前
々回のデータを読み込んで(ステップ122)、今回の
データと比較して異常か否かの判断を行う(ステップ1
23.124)。
If there is no determination error, it is determined whether or not an abnormality was detected last time (step 120); if no abnormality was detected, the previous data is read and compared with the current data to determine whether or not there is an abnormality. Perform (steps 121 and 123
.. 124). In addition, if an abnormality was detected last time, the data from the previous time is read (step 122) and compared with the current data to determine whether or not there is an abnormality (step 1).
23.124).

ステップ124の判断で異常検知有りと判断した場合は
、前回も異常検知有りであったか否かを判断しくステッ
プ125)、前回は異常検知なしの場合は「1回異常有
りフラグ」をセットし前回のデータを保持して終了する
。また、前回も異常検知有りであった場合つまり2回連
続して異常を検知した場合は、ここで初めて高速漏液発
生と判断して高速漏液検知フラグをセ、トし、「1回異
常有りフラグ」をリセットして終了する。
If it is determined in step 124 that an abnormality has been detected, it is determined whether or not an abnormality was detected last time (step 125). If no abnormality was detected last time, the "1-time abnormality flag" is set and Keep data and exit. In addition, if an abnormality was detected last time, that is, if an abnormality was detected twice in a row, it is determined that a high-speed liquid leak has occurred for the first time, and the high-speed liquid leak detection flag is set. Reset the "Yes flag" and exit.

また、ステップ123で今回異常を検知しなかったら、
「1回異常有りフラグ」をリセットして終了する。
Also, if no abnormality is detected this time in step 123,
Reset the "1-time abnormality flag" and end.

したがって、実施例の装置によれば、2回連続して異常
検知した場合のみ、漏液発生と判断する。
Therefore, according to the device of the embodiment, it is determined that a liquid leak has occurred only when an abnormality is detected twice in a row.

これにより、例えば1回のデータにノイズが混入してい
て誤検知した場合にも、その回だけで漏液検知と判断す
ることはない。また、判定の基準となるデータ自体も最
大・最小のものが切り捨てられて平均化されたものであ
るため、ノイズのカットがなされ、この点からも検知の
信頼性が向上する。
As a result, even if, for example, one data is contaminated with noise and a false detection is made, it will not be determined that a liquid leak has been detected based on that data alone. Furthermore, since the data itself that serves as the basis for determination is averaged with the maximum and minimum values discarded, noise is cut out, and the reliability of detection is improved in this respect as well.

[発明の効果] 以上説明したように、本発明の漏液検知装置によれば、
計測データを取り入れる段階と漏液判定を行う段階の2
つの段階で、ノイズによる誤検知を防止しているので、
精度の良いBi(l検知を実施することが可能となる。
[Effects of the Invention] As explained above, according to the liquid leakage detection device of the present invention,
Two stages: the stage of incorporating measurement data and the stage of determining leakage
Since false detection due to noise is prevented at two stages,
It becomes possible to perform Bi(l detection with high accuracy).

【図面の簡単な説明】[Brief explanation of drawings]

第1図は本発明の漏液検知装置の構成を示すブロック図
、第2図は本発明の一実施例の漏液検知装置の概略構成
図、第3図は同実施例の装置による計測のタイミングを
表すタイミングチャート、第4図は同実施例の装置によ
る制御手順を示すフローチャートである。 ■・・・・・・センサ、2・・・・・・データ読み取り
手段、3・・・・・・平均データ算出手段、4・・・・
・・異常検知手段、5・・・・・漏液判定手段。
FIG. 1 is a block diagram showing the configuration of a liquid leakage detection device according to the present invention, FIG. 2 is a schematic configuration diagram of a liquid leakage detection device according to an embodiment of the present invention, and FIG. 3 is a block diagram showing the configuration of a liquid leakage detection device according to the embodiment. A timing chart showing the timing, and FIG. 4 is a flowchart showing the control procedure by the apparatus of the same embodiment. ■...Sensor, 2...Data reading means, 3...Average data calculation means, 4...
...Anomaly detection means, 5...Leakage determination means.

Claims (1)

【特許請求の範囲】 漏液発生により電気的特性の変化するセンサから1サイ
クル内に複数回データを読み取るデータ読み取り手段と
、 該データ読み取り手段の読み取った1サイクルの全デー
タのうち最大・最小のものを除く残りのデータの平均値
を算出して、その平均値を計測データとして出力する平
均データ算出手段と、該平均データ算出手段の出力する
データが許容値を越えたとき、または該データの単位時
間当たりの変化分が許容値を越えたとき異常検知信号を
発する異常検知手段と、 該異常検知手段から異常検知信号が少なくとも2回連続
して発せられたとき漏液発生と判断して漏液検知信号を
発する漏液判定手段と、 を備えていることを特徴とする漏液検知装置。
[Claims] Data reading means for reading data multiple times in one cycle from a sensor whose electrical characteristics change due to the occurrence of liquid leakage; An average data calculation means that calculates the average value of the remaining data excluding the average value and outputs the average value as measurement data, and when the data output by the average data calculation means exceeds a permissible value, or when the data An abnormality detection means that issues an abnormality detection signal when the amount of change per unit time exceeds an allowable value; and when the abnormality detection signal is issued at least twice in succession from the abnormality detection means, it is determined that a leak has occurred and the leakage is detected. A liquid leakage detection device comprising: a liquid leakage determination means for emitting a liquid detection signal.
JP8974989A 1989-04-11 1989-04-11 Leaking-liquid detecting apparatus Pending JPH02268264A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP8974989A JPH02268264A (en) 1989-04-11 1989-04-11 Leaking-liquid detecting apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP8974989A JPH02268264A (en) 1989-04-11 1989-04-11 Leaking-liquid detecting apparatus

Publications (1)

Publication Number Publication Date
JPH02268264A true JPH02268264A (en) 1990-11-01

Family

ID=13979400

Family Applications (1)

Application Number Title Priority Date Filing Date
JP8974989A Pending JPH02268264A (en) 1989-04-11 1989-04-11 Leaking-liquid detecting apparatus

Country Status (1)

Country Link
JP (1) JPH02268264A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007263933A (en) * 2006-03-30 2007-10-11 Yokogawa Electric Corp Zirconia oxygen analyzer
CN115450988A (en) * 2022-09-24 2022-12-09 宁波力劲科技有限公司 Leakage detection method and system for die casting machine hydraulic system, storage medium and intelligent terminal

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007263933A (en) * 2006-03-30 2007-10-11 Yokogawa Electric Corp Zirconia oxygen analyzer
CN115450988A (en) * 2022-09-24 2022-12-09 宁波力劲科技有限公司 Leakage detection method and system for die casting machine hydraulic system, storage medium and intelligent terminal

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