JPH05346807A - Pump plant operation control device - Google Patents
Pump plant operation control deviceInfo
- Publication number
- JPH05346807A JPH05346807A JP18033892A JP18033892A JPH05346807A JP H05346807 A JPH05346807 A JP H05346807A JP 18033892 A JP18033892 A JP 18033892A JP 18033892 A JP18033892 A JP 18033892A JP H05346807 A JPH05346807 A JP H05346807A
- Authority
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- Japan
- Prior art keywords
- pump
- learning
- water level
- predicting means
- predicting
- 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.)
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- Control Of Positive-Displacement Pumps (AREA)
- Feedback Control In General (AREA)
- Control Of Non-Electrical Variables (AREA)
Abstract
Description
【０００１】[0001]
【産業上の利用分野】本発明はポンププラントにおける
複数のポンプの運転制御に適用される運転制御装置に関
する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an operation control device applied to the operation control of a plurality of pumps in a pump plant.
【０００２】[0002]
【従来の技術】ポンププラントは図５に示したような構
成になっている。すなわち、河川又は貯水池などの水を
流入ゲート１より取り込み、沈砂池２を介してポンプ井
３に貯水する。ポンプ井３の水は制御された複数台のポ
ンプ４により汲み上げられ、吐出槽５へ供給される。2. Description of the Related Art A pump plant is constructed as shown in FIG. That is, water from a river or reservoir is taken in from the inflow gate 1 and stored in the pump well 3 via the sand basin 2. The water in the pump well 3 is pumped up by a plurality of controlled pumps 4 and supplied to the discharge tank 5.
【０００３】このようなポンププラントにおけるポンプ
４の従来の制御方法としては、降雨量及び降雨強度の２
つの気象情報や、ポンプ井３の水位、流入量及びポンプ
吐出量の３つの観測情報に基づいて、熟練運転員が経験
的に必要なポンプ４のポンプ台数と起動タイミングとを
判断し、運転計画を作成するものである。As a conventional control method of the pump 4 in such a pump plant, there are two methods of controlling the rainfall amount and the rainfall intensity.
Based on the three meteorological information and the three observation information of the water level of the pump well 3, the inflow amount, and the pump discharge amount, the experienced operator empirically determines the number of pumps 4 and the start timing, and the operation plan. Is to create.
【０００４】従来の別の制御方法としては、図６に示す
ように、気象情報及び観測事象を入力し、熟練運転員の
運転指令を出力として、学習機能を有する学習制御装置
に熟練運転員の運転制御技術を学習させ、これにより、
熟練運転員の判断と同等の運転制御指令を得る方法が開
発されている。As another conventional control method, as shown in FIG. 6, weather information and observation events are input, and the operation command of the skilled operator is output, and a learning control device having a learning function is provided with the learning operator. Learn driving control technology,
A method has been developed for obtaining an operation control command equivalent to the judgment of a skilled operator.
【０００５】また、図７に示すように、ポンプ井の水位
予測を行うための学習機能を有する単一の水位予測手段
１０と、この水位予測手段１０の出力を入力としてポン
プ吐出量を予測するための学習機能を有する単一の要求
吐出量予測手段２０と、この要求吐出量予測手段２０の
出力を入力としてポンプの運転計画を作成するための知
識を有する１つのポンプ運転計画手段３０と、この運転
計画手段３０の出力及び予測気象情報を入力としてポン
プ井流入量予測を行い、その出力を次時刻での水位予測
手段１０の入力とする機能を有する流入量予測手段４０
とを備え、水位予測手段１０及び要求吐出量予測手段２
０により熟練運転員の運転制御技術を学習させ、またポ
ンプ運転計画手段３０により熟練運転員の運転制御に関
する知識をルールの形で整理・格納し、これにより、熟
練運転員の判断と同等の運転制御指令を得る方法も従来
の制御方法として本出願人により開発されている。Further, as shown in FIG. 7, a single water level predicting means 10 having a learning function for predicting the water level of the pump well, and the output of the water level predicting means 10 are used as inputs to predict the pump discharge amount. A single required discharge amount predicting means 20 having a learning function for, and one pump operation planning means 30 having knowledge for creating an operation plan of the pump using the output of the required discharge amount predicting means 20 as an input, The inflow rate predicting means 40 having a function of predicting the pump well inflow rate by using the output of the operation planning means 30 and the forecast weather information and using the output as the input of the water level predicting means 10 at the next time.
And a water level prediction means 10 and a required discharge amount prediction means 2
0 allows the trained operator to learn the operation control technique, and the pump operation planning means 30 organizes and stores the knowledge about the trained operator's operation control in the form of rules, whereby the operation equivalent to the judgment of the trained operator is performed. A method for obtaining a control command has also been developed by the applicant as a conventional control method.
【０００６】更に、他の従来の制御方法としては、特開
平１−１１３８１０号公報、特開平１−１１３８１１号
公報及び特開平１−１１３８１２号公報に開示されてい
るように、熟練運転員の運転制御に関する知識をルール
の形で整理・格納し、流入量やポンプ井水位などの入力
データに従って、先の知識を用いた推論を行い、運転制
御指令を得る方法も知られている。Further, as another conventional control method, as disclosed in Japanese Patent Application Laid-Open No. 1-113810, Japanese Patent Application Laid-Open No. 1-113811 and Japanese Patent Application Laid-Open No. 1-113812, the operation of a skilled operator is performed. A method is also known in which knowledge about control is organized and stored in the form of rules, and inference using the previous knowledge is performed according to input data such as an inflow amount and a pump well water level to obtain an operation control command.
【０００７】[0007]
【発明が解決しようとする課題】熟練運転員の運転制御
技術を学習する複数の学習手段と、知識を用いた推論手
段と、流入量予測手段とを備えた従来のポンププラント
運転制御方法は、学習時に与えた熟練運転員の運転実績
データにより補完できる範囲で同等な運転制御を行おう
とするものであるが、流入ゲート操作等により大幅に変
化する複数の運転状態を、各学習手段の１つの学習制御
装置で学習させる際に、その学習精度を向上させにくい
という問題点があった。A conventional pump plant operation control method provided with a plurality of learning means for learning the operation control technique of a skilled operator, an inference means using knowledge, and an inflow amount prediction means is described below. Although it is intended to perform the equivalent operation control within a range that can be complemented by the operation record data of the skilled operator given at the time of learning, a plurality of operation states that greatly change due to inflow gate operation etc. There is a problem that it is difficult to improve the learning accuracy when learning is performed by the learning control device.
【０００８】本発明はこのような問題点に対してなされ
たもので、より精度の高い学習制御を実現できるポンプ
プラント運転制御装置を提供することを目的とする。The present invention has been made to solve the above problems, and an object of the present invention is to provide a pump plant operation control device capable of realizing more accurate learning control.
【０００９】[0009]
【課題を解決するための手段】上記目的に対し、本発明
によれば、ポンププラントのポンプ井の水位予測を行う
ための学習機能を有し並列型の複数の学習制御装置及び
それらの切替え判断部からなる水位予測手段と、この水
位予測手段の出力を入力としてポンプ吐出量を予測する
ための学習機能を有し並列型の複数の学習制御装置及び
それらの切替え判断部からなる要求吐出量予測手段と、
この要求吐出量予測手段の出力を入力としてポンプの運
転計画を作成するための知識を有するポンプ運転計画手
段と、このポンプ運転計画手段の出力及び気象情報を入
力としてポンプ井流入量予測を行いその出力を次時刻に
おける前記水位予測手段への入力とする機能を有する流
入量予測手段とを備えてなるポンププラント運転制御装
置が提供される。To solve the above problems, according to the present invention, a plurality of learning control devices of a parallel type having a learning function for predicting the water level of a pump well of a pump plant and their switching judgments. Water level predicting means, which has a learning function for predicting the pump discharge rate using the output of the water level predicting means as input, and a required discharge rate predicting method that includes a plurality of parallel learning control devices and their switching determination sections. Means and
A pump operation planning means having the knowledge to create an operation plan of the pump by using the output of the required discharge amount prediction means as an input, and a pump well inflow amount prediction by inputting the output of this pump operation planning means and weather information There is provided a pump plant operation control device comprising an inflow quantity predicting means having a function of using an output as an input to the water level predicting means at the next time.
【００１０】[0010]
【作用】水位予測手段において、まず過去の実績データ
を学習する。そして、複数の入力情報に対して制御変数
値を出力する。この際、ゲート開操作を行った直後と、
その後のゲート開状態とは、制御上の着目点が異なる別
々の運転状態となっているので、その状態別に学習デー
タを用意し、同一の入出力構造の複数の学習制御装置で
それぞれ別々に学習させ、制御時に各状態に対応する学
習制御装置に切替えを行う。[Operation] In the water level prediction means, first, the past performance data is learned. Then, the control variable value is output for the plurality of input information. At this time, immediately after performing the gate opening operation,
Since the gate open state is a different operation state with different control points, learning data is prepared for each state and learned by multiple learning control devices with the same input / output structure. Then, at the time of control, the learning control device corresponding to each state is switched.
【００１１】ポンプ吐出量予測手段においても、同様に
過去の実績データを、運転状態別に学習制御装置を用意
して別々に学習させ、制御時に学習制御装置の切替えを
行いながら、先の制御変数値を含む入力情報を入力して
別の制御変数値を出力する。Also in the pump discharge amount predicting means, similarly, the past performance data is similarly learned by preparing a learning control device for each operating state, and the learning control device is switched at the time of control while the previous control variable value is changed. Input the input information including the and output another control variable value.
【００１２】次にその制御変数値を含む入力情報を計画
作成のための知識を有するポンプ運転計画手段に入力
し、その手段の持つ知識を参照してポンプ運転制御指令
を出力し、ポンププラントの制御を行う。更に、その運
転制御指令を含む入力情報を流入量予測手段に入力して
予測値を出力し、その出力を次時刻における水位予測手
段の入力情報の一つとする。Next, input information including the control variable value is input to the pump operation planning means having knowledge for planning, the pump operation control command is output with reference to the knowledge of the means, and the pump plant Take control. Further, input information including the operation control command is input to the inflow amount prediction means to output a predicted value, and the output is used as one of the input information of the water level prediction means at the next time.
【００１３】[0013]
【実施例】図１は、本発明に係るポンププラント運転制
御装置を示すブロック線図である。図１において、符号
１０はポンププラントのポンプ井の水位予測を行うため
の学習機能を有する水位予測手段、２０はこの水位予測
手段１０の出力を入力としてポンプ吐出量を予測するた
めの学習機能を有する要求吐出量予測手段、３０はこの
要求吐出量予測手段２０の出力を入力としてポンプの運
転計画を作成するための知識を有する運転計画手段、４
０はこの運転計画手段３０の出力を入力としてポンプ井
の流入量予測を行い、その出力を次時刻の水位予測手段
１０の入力とするための流入量予測手段である。FIG. 1 is a block diagram showing a pump plant operation control device according to the present invention. In FIG. 1, reference numeral 10 is a water level predicting means having a learning function for predicting the water level of the pump well of the pump plant, and 20 is a learning function for predicting the pump discharge amount by using the output of the water level predicting means 10 as an input. The required discharge amount predicting means that the user has, the operation plan means 30 that has knowledge for creating an operation plan of the pump by using the output of the required discharge amount predicting means 20 as an input, 4
Reference numeral 0 denotes an inflow amount predicting means for predicting the inflow amount of the pump well with the output of the operation planning means 30 as an input and using the output as the input of the water level predicting means 10 at the next time.
【００１４】水位予測手段１０及び要求吐出量予測手段
２０は、計算機上に実現したニューラルネットワークで
ある。ポンプ運転計画手段３０はエキスパートシステム
である。流入量予測手段４０は数値解析システムであ
る。The water level predicting means 10 and the required discharge amount predicting means 20 are neural networks realized on a computer. The pump operation planning means 30 is an expert system. The inflow amount prediction means 40 is a numerical analysis system.
【００１５】水位予測手段１０において、予測手段１
３，１４は、降雨計測手段１１から得られる降雨量の時
系列情報と、流入量予測手段４０からの出力である流入
量予測値と、水位計測手段１２から得られる現在のポン
プ井水位と、ポンプ起動台数、吐出弁開度から決定され
るポンプ吐出量現在値とから、次時刻における水位を予
測し、予測水位として出力する。ただし、予測手段１
３，１４は同一構造で並列に組み込まれており、学習制
御装置切替え判断部１５で先の入力データから運転状態
を判断し、予測手段１３，１４のどちらを使用するべき
かを決定した後に、そのいずれかにより水位予測を行な
う。この学習制御装置切替え判断部１５は、流入ゲート
開後の１回目のポンプ操作が完了する前及び完了した後
で切替えの信号を出すというルールで構成されている。
これは、最初のポンプ操作がゲート開の影響による水位
の急激な上昇により行なわれ、それ以降は徐々に上昇す
る水位の上昇に対しポンプ操作が行なわれるためで、そ
れぞれ別々に学習することにより学習制御の精度が向上
する。図２に、この予測手段１３，１４の入出力値の変
化を表わす実施例を示す。なお、予測手段１３，１４
は、過去の異なる運転状態の実績データを各々オフライ
ンで学習した結果を有している。In the water level predicting means 10, the predicting means 1
Reference numerals 3 and 14 denote time series information of the rainfall amount obtained from the rainfall measuring means 11, an inflow amount predicted value which is an output from the inflow amount estimating means 40, a current pump well water level obtained from the water level measuring means 12, The water level at the next time is predicted based on the pump discharge amount present value which is determined from the number of pumps started and the discharge valve opening degree, and the predicted water level is output. However, the prediction means 1
Reference numerals 3 and 14 have the same structure and are installed in parallel. After the learning control device switching determination unit 15 determines the operating state from the previous input data and determines which of the prediction units 13 and 14 should be used, The water level is predicted by either of them. The learning control device switching determination unit 15 is configured by a rule that a switching signal is output before and after the completion of the first pump operation after the inflow gate is opened.
This is because the first pump operation is performed by the rapid rise of the water level due to the effect of the gate opening, and thereafter the pump operation is performed for the gradually rising water level. Control accuracy is improved. FIG. 2 shows an embodiment showing changes in the input / output values of the predicting means 13 and 14. The prediction means 13 and 14
Has the results of offline learning of the past performance data of different operating states.
【００１６】要求吐出量予測手段２０は、水位予測手段
１０からの出力であるポンプ井水位予測値、及びポンプ
井水位の時系列データから計算手段２１で計算される水
位変化率や上流水位とポンプ井水位との偏差情報から、
予測手段２２，２３にて次時刻で要求されるポンプ吐出
量を決定し、要求吐出量として出力する。ただし、水位
予測手段１０と同様に、予測手段２２，２３も同一構造
で並列に組み込まれており、学習制御装置切替え判断部
２４で運転状態を判断し、どちらを使用するべきかを決
定した後に、予測手段２２，２３のいずれかを用いる。
図３に、この予測手段２２，２３の入出力値の変化を表
す実施例を示す。なお、予測手段２２，２３において
も、過去の異なる運転状態の実績データを各々オフライ
ンで学習した結果を有している。The required discharge amount predicting means 20 is a pump well water level predicted value which is an output from the water level predicting means 10 and a water level change rate calculated by the calculating means 21 from the pump well water level time series data and the upstream water level and the pump. From the deviation information from the well water level,
The predicting means 22 and 23 determine the pump discharge amount required at the next time and output it as the required discharge amount. However, similar to the water level predicting means 10, the predicting means 22 and 23 have the same structure and are installed in parallel, and after the learning control device switching determination part 24 determines the operating state and determines which one should be used. , Either the prediction means 22 or 23 is used.
FIG. 3 shows an embodiment showing changes in the input / output values of the predicting means 22 and 23. It should be noted that the predicting means 22 and 23 also have the results of offline learning of the past performance data of different operating states.
【００１７】水位予測手段１０及び要求吐出量予測手段
２０の予測手段１３，１４及び２２，２３は、３層のニ
ューラルネットワークモデルで、入力を現在から過去３
０分間、５分間隔毎の時系列データ、出力を次時刻の水
位、または吐出量としたものである。これらのデータ
は、０〜１の範囲に規格化し、アナログ量として与え
る。また、学習データは、複数台のポンプが起動された
大雨時の熟練運転員の実績データとし、それらをＢＰ学
習法（誤差逆伝播学習法；Back Propagation）で繰り返
し学習させる。The water level predicting means 10 and the predicting means 13, 14 and 22, 23 of the required discharge amount predicting means 20 are three-layer neural network models, and input is from the present to the past three.
Time series data at intervals of 0 minutes and 5 minutes, and the output is the water level at the next time or the discharge amount. These data are standardized in the range of 0 to 1 and given as analog quantities. In addition, the learning data is the actual data of the skilled operator at the time of heavy rain when a plurality of pumps are activated, and these are repeatedly learned by the BP learning method (error back propagation learning method; Back Propagation).
【００１８】ポンプ運転計画手段３０は、要求吐出量予
測手段２０の出力である要求吐出量から必要なポンプ台
数を決定し、さらに推論エンジン３１がデータベース３
２内に格納されている各ポンプの使用履歴、および起動
時間、再起動冷却時間などの制限条件を参照し、最適な
運転ポンプおよびその運転計画を決定する。このポンプ
運転計画手段３０は、ルールの形で知識を整理したエキ
スパートシステムである。このルールとは、ポンプ起動
時には使用頻度の低いポンプを優先的に使用する、頻度
が同じならば冷却時間の長い方を使用する、などであ
る。図４に、このポンプ運転計画手段３０の入出力値の
変化を表す実施例を示す。The pump operation planning means 30 determines the required number of pumps from the required discharge amount which is the output of the required discharge amount predicting means 20, and the inference engine 31 causes the database 3 to determine.
The optimum operation pump and its operation plan are determined by referring to the usage history of each pump stored in 2 and the limiting conditions such as the startup time and the restart cooling time. The pump operation planning means 30 is an expert system that organizes knowledge in the form of rules. The rule is to preferentially use a pump that is rarely used at the time of starting the pump, and to use the one with a longer cooling time if the frequency is the same. FIG. 4 shows an embodiment showing changes in the input / output values of the pump operation planning means 30.
【００１９】流入量予測手段４０は、降雨計測手段４１
からの出力として得られる降雨強度と、降雨予測手段４
２からの出力として得られる予想降雨量と、ポンプ運転
計画手段３０からの出力であるポンプ運転制御指令とか
ら、水位予測手段１０における予測手段１３，１４にて
次時刻で要求される流入量を流入量解析手段４３で計算
し、流入量予測値として出力する。この流入量予測手段
４０は、気象庁の地域気象観測システム「アメダス」か
らのリアルタイムの情報を、ＮＴＴ回線により取り込
み、対象地域の降雨流出モデルにより解析を行う。The inflow predicting means 40 is a rainfall measuring means 41.
Rainfall intensity obtained as an output from the rainfall prediction means 4
From the predicted rainfall amount obtained as the output from 2 and the pump operation control command that is the output from the pump operation planning unit 30, the inflow amount requested by the prediction units 13 and 14 in the water level prediction unit 10 at the next time is calculated. The inflow amount analysis means 43 calculates and outputs it as an inflow amount predicted value. The inflow predicting means 40 takes in real-time information from the local meteorological observation system "AMeDAS" of the Meteorological Agency through the NTT line, and analyzes the rainfall outflow model of the target area.
【００２０】[0020]
【発明の効果】以上のように、本発明によれば、熟練運
転員の判断を学習した水位予測手段１０、要求吐出量予
測手段２０及び運転に関する知識を有するポンプ運転計
画手段３０により、熟練運転員と同等の運転制御がで
き、さらに、水位予測手段１０及び要求吐出量予測手段
２０における学習制御装置を異なる運転状態に合わせて
複数用意し、それぞれ異なるデータを学習させ、制御時
には運転状態に合わせて切替えて用いることで、より精
度の高い学習制御を実現し得る。As described above, according to the present invention, the skilled operation is performed by the water level predicting means 10 which has learned the judgment of the skilled operator, the required discharge amount predicting means 20 and the pump operation planning means 30 having knowledge about the operation. It is possible to perform operation control equivalent to that of a worker, and prepare a plurality of learning control devices for the water level predicting means 10 and the required discharge amount predicting means 20 according to different operating states, and learn different data for each, and adjust to the operating state during control. It is possible to realize more accurate learning control by switching and using.
【図１】本発明に係るポンププラント運転制御装置の一
実施例を示したブロック線図である。FIG. 1 is a block diagram showing an embodiment of a pump plant operation control device according to the present invention.
【図２】水位予測手段の学習制御の一例を示した各種情
報の変化図である。FIG. 2 is a change diagram of various information showing an example of learning control of a water level prediction unit.
【図３】要求吐出量予測手段の学習制御の一例を示した
各種情報の変化図である。FIG. 3 is a change diagram of various kinds of information showing an example of learning control of a required discharge amount prediction unit.
【図４】ポンプ運転計画手段の運転支援の一例を示した
入出力値の変化図である。FIG. 4 is a change diagram of input / output values showing an example of operation support of a pump operation planning unit.
【図５】ポンププラントの概念図である。FIG. 5 is a conceptual diagram of a pump plant.
【図６】従来のポンププラント運転制御装置の一実施例
を示すブロック線図である。FIG. 6 is a block diagram showing an embodiment of a conventional pump plant operation control device.
【図７】従来のポンププラント運転制御装置の一実施例
を示すブロック線図である。FIG. 7 is a block diagram showing an embodiment of a conventional pump plant operation control device.
【符号の説明】 １０ 水位予測手段 １１ 降雨計測手段 １２ 水位計測手段 １３ 予測手段 １４ 予測手段 １５ 学習制御装置切替え判断部 ２０ 要求吐出量予測手段 ２１ 計算手段 ２２ 予測手段 ２３ 予測手段 ２４ 学習制御装置切替え判断部 ３０ ポンプ運転計画手段 ３１ 推論エンジン ３２ データベース ４０ 流入量予測手段 ４１ 降雨計測手段 ４２ 降雨予測手段 ４３ 流入量解析手段[Explanation of Codes] 10 Water Level Predicting Means 11 Rainfall Measuring Means 12 Water Level Measuring Means 13 Predicting Means 14 Predicting Means 15 Learning Control Device Switching Judgment Unit 20 Required Discharge Predicting Means 21 Calculating Means 22 Predicting Means 23 Predicting Means 24 Learning Control Device Switching Judgment part 30 Pump operation planning means 31 Inference engine 32 Database 40 Inflow rate prediction means 41 Rainfall measurement means 42 Rainfall prediction means 43 Inflow rate analysis means
───────────────────────────────────────────────────── フロントページの続き (51)Int.Cl.5 識別記号 庁内整理番号 ＦＩ 技術表示箇所 Ｇ０５Ｄ 9/12 Ｃ 7314−3Ｈ (72)発明者 前本 勝由 兵庫県高砂市荒井町新浜二丁目１番１号 三菱重工業株式会社高砂製作所内─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. 5 Identification code Internal reference number FI Technical indication location G05D 9/12 C 7314-3H (72) Inventor Katsuyoshi Maemoto 2 Niihama, Arai-cho, Takasago, Hyogo Prefecture No. 1 in Mitsubishi Heavy Industries, Ltd. Takasago Plant
Claims (1)
うための学習機能を有し並列型の複数の学習制御装置及
びそれらの切替え判断部からなる水位予測手段と、この
水位予測手段の出力を入力としてポンプ吐出量を予測す
るための学習機能を有し並列型の複数の学習制御装置及
びそれらの切替え判断部からなる要求吐出量予測手段
と、この要求吐出量予測手段の出力を入力としてポンプ
の運転計画を作成するための知識を有するポンプ運転計
画手段と、このポンプ運転計画手段の出力及び気象情報
を入力としてポンプ井流入量予測を行いその出力を次時
刻における前記水位予測手段への入力とする機能を有す
る流入量予測手段とを備えてなるポンププラント運転制
御装置。1. A water level predicting means having a learning function for predicting the water level of a pump well of a pump plant, the water level predicting means comprising a plurality of parallel learning control devices and their switching judgment parts, and an output of the water level predicting means. A demanded discharge amount predicting unit having a learning function for predicting the pump discharge amount as an input and comprising a plurality of parallel learning control devices and their switching determination units, and a pump using the output of the required discharge amount predicting unit as an input Pump operation planning means having the knowledge to create the operation plan of the pump well, and the input of the pump well inflow amount by using the output and weather information of the pump operation planning means and inputting the output to the water level prediction means at the next time. A pump plant operation control device comprising: an inflow predicting means having a function of
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP18033892A JPH05346807A (en) | 1992-06-15 | 1992-06-15 | Pump plant operation control device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP18033892A JPH05346807A (en) | 1992-06-15 | 1992-06-15 | Pump plant operation control device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH05346807A true JPH05346807A (en) | 1993-12-27 |
Family
ID=16081479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP18033892A Withdrawn JPH05346807A (en) | 1992-06-15 | 1992-06-15 | Pump plant operation control device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH05346807A (en) |
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