JPH0573131A - Expert system - Google Patents

Expert system

Info

Publication number
JPH0573131A
JPH0573131A JP3236156A JP23615691A JPH0573131A JP H0573131 A JPH0573131 A JP H0573131A JP 3236156 A JP3236156 A JP 3236156A JP 23615691 A JP23615691 A JP 23615691A JP H0573131 A JPH0573131 A JP H0573131A
Authority
JP
Japan
Prior art keywords
corresponding operation
controlled object
knowledge
information
state
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.)
Withdrawn
Application number
JP3236156A
Other languages
Japanese (ja)
Inventor
Yoshinori Inosawa
祥規 猪澤
Kazuyuki Misawa
一之 三澤
Toshinao Higuchi
利直 樋口
Kenji Katsuki
謙二 香月
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.)
Mitsubishi Heavy Industries Ltd
Original Assignee
Mitsubishi Heavy Industries 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 Mitsubishi Heavy Industries Ltd filed Critical Mitsubishi Heavy Industries Ltd
Priority to JP3236156A priority Critical patent/JPH0573131A/en
Publication of JPH0573131A publication Critical patent/JPH0573131A/en
Withdrawn legal-status Critical Current

Links

Abstract

PURPOSE:To provide a correspondent operation guide not to exert any adverse influence at the expert system to support an objective system. CONSTITUTION:This system is equipped with a main body 3 of the expert system provided with a correspondent operation candidate inference part 10 to receive signals from a knowledge data base 11 based on the knowledge of a skilled operator and a propriety evaluation part 9 to receive signals from the knowledge data base 11, object system 2 provided with a controlled system 5 and an automatic controller 4, data base 6 to input the state of the controlled system 5, automatic identifying function device 7 to identify the characteristic of the controlled system 5, and high-speed simulator 8 to calculate a predictive value while receiving the current system state. The correspondent operation candidate inference part 10 outputs plural correspondent operation candidates while receiving the current system state from the controlled system 5, and the propriety evaluation part 9 outputs the correspondent operation guide to an operator 1 while receiving the four kinds of inputs such as the predictive value and the knowledge from the knowledge data base 11.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は各種自動制御装置の支援
に適用されるエキスパートシステムに関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an expert system applied to support various automatic control devices.

【0002】[0002]

【従来の技術】対象のシステムを操作する場合、システ
ムに異状が生じたとき、従来のエキスパートシステムで
は、熟練オペレータの知識を基にした知識ベースと現在
のシステム状態のみから対応操作をガイド表示してい
た。オペレータはそのガイド表示に従ってシステムを操
作していた。
2. Description of the Related Art When operating a target system, when an abnormality occurs in the system, a conventional expert system displays a guide display of corresponding operations only from a knowledge base based on the knowledge of a skilled operator and the current system state. Was there. The operator was operating the system according to the guide display.

【0003】[0003]

【発明が解決しようとする課題】システムに異常が生じ
たときに、熟練オペレータの知識を基にした知識ベース
と現在のシステム状態のみから推論された対応操作を実
施した場合、現在発生している異常に対しては、有効な
対応操作となるかもしれないが、システム全体又は一部
から見れば悪影響を及ぼす操作となる可能性があった。
When an abnormality occurs in the system, a corresponding operation inferred only from the knowledge base based on the knowledge of a skilled operator and the current system state is carried out, which is currently occurring. Although it may be an effective countermeasure operation for an abnormality, it may have an adverse effect on the whole or a part of the system.

【0004】[0004]

【課題を解決するための手段】本発明は上記課題を解決
するため次の手段を講ずる。
The present invention takes the following means in order to solve the above problems.

【0005】すなわち,エキスパートシステムとして、
熟練オペレータの知識を基にした知識データベースから
信号を受ける対応操作候補推論部,同対応操作候補推論
部,および上記知識データベースから信号を受ける妥当
性評価部を有するエキスパートシステム本体と,制御対
象およびその自動制御装置を有する対象のシステムと,
上記制御対象の状態情報を入力する、制御対象の状態に
関するデータベースと,同データベースからの信号を受
け上記制御対象の特性を同定する自動同定機能装置と,
同自動同定機能装置からの情報および上記制御対象から
現在のシステムの状態情報を受け上記システムのシミュ
レーションを行い予測値を算出する高速シミュレータと
を備え、上記対応操作候補推論部は上記制御対象から現
在のシステムの状態情報を受け、複数の対応操作候補情
報を出力し、妥当性評価部は上記制御対象から現在のシ
ステムの状態情報、上記高速シミュレータから予測値,
および上記複数の対応操作候補情報を受け、同対応操作
候補が上記システムの現状および将来に対して妥当どう
かを評価し、妥当な上記対応操作候補を操作ガイド情報
として出力するようにした。
That is, as an expert system,
An expert system main body having a corresponding operation candidate inference unit that receives a signal from a knowledge database based on the knowledge of a skilled operator, a corresponding operation candidate inference unit, and a validity evaluation unit that receives a signal from the knowledge database; A target system having an automatic controller,
A database relating to the state of the controlled object for inputting the state information of the controlled object, and an automatic identification function device for receiving the signal from the database and identifying the characteristic of the controlled object
A high-speed simulator that receives information from the automatic identification function device and state information of the current system from the control target and performs a simulation of the system to calculate a predicted value, and the corresponding operation candidate inference unit is currently controlled by the control target. And outputs a plurality of corresponding operation candidate information, and the validity evaluation unit determines the current system state information from the control target, the predicted value from the high-speed simulator,
Further, the plurality of corresponding operation candidate information is received, whether the corresponding operation candidate is valid or not with respect to the present condition and future of the system, and the appropriate corresponding operation candidate is output as the operation guide information.

【0006】[0006]

【作用】上記手段において、対象のシステムの制御対象
から制御対象の状態情報が、制御対象の状態に関するデ
ータベースに入力される。自動同定機能装置は制御対象
の状態に関するデータベースから状態情報を入力し、制
御対象の特性の同定を行う。高速シミュレータは、制御
対象から現在のシステム状態情報および自動同定機能装
置から信号を受け、シミュレーションにより状態の予測
値を算出する。
In the above means, the status information of the controlled object from the controlled object of the target system is input to the database regarding the status of the controlled object. The automatic identification function device inputs the state information from the database regarding the state of the controlled object, and identifies the characteristic of the controlled object. The high-speed simulator receives current system state information from the controlled object and signals from the automatic identification function device, and calculates a predicted value of the state by simulation.

【0007】エキスパートシステム本体では、対応操作
候補推論部が知識データベースから知識および制御対象
から現在のシステム状態情報を入力し、複数の対応操作
候補情報を算出する。また妥当性評価部は知識データベ
ースから知識,対応操作候補推論部から複数の対応操作
候補情報、および高速シミュレータから予測値を入力
し、複数の対応操作候補を評価し、現在および将来に対
し妥当なものを操作ガイド情報として出力する。オペレ
ータはその操作ガイドに従ってシステムを操作する。
In the expert system main body, the corresponding operation candidate inference unit inputs the knowledge and the current system state information from the control target from the knowledge database, and calculates a plurality of corresponding operation candidate information. The validity evaluation unit inputs knowledge from the knowledge database, a plurality of corresponding operation candidate information from the corresponding operation candidate inference unit, and a predicted value from the high-speed simulator, evaluates the plurality of corresponding operation candidates, and evaluates the validity of the present and future. Output things as operation guide information. The operator operates the system according to the operation guide.

【0008】以上のようにして、対象のシステムに異常
が生じたとき、エキスパートシステム本体は熟練オペレ
ータが対応操作を行うのと同様の操作を操作ガイド情報
として出力する。この操作ガイドはシステムの現状およ
び将来に対しても最適なものである。
As described above, when an abnormality occurs in the target system, the expert system main body outputs, as operation guide information, an operation similar to that performed by a skilled operator. This operating guide is also optimal for the current and future of the system.

【0009】[0009]

【実施例】本発明の一実施例を図1により説明する。エ
キスパートシステム本体3は熟練オペレータの知識に基
づく知識データベース11,同知識データベース11の
知識を入力する対応操作候補推論部10,ならびに同対
応操作候補推論部10および知識データベース11の出
力を受ける妥当性評価部9を有する。
DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described with reference to FIG. The expert system main body 3 receives the knowledge database 11 based on the knowledge of the skilled operator, the corresponding operation candidate inference unit 10 for inputting the knowledge of the knowledge database 11, and the validity evaluation of the outputs of the corresponding operation candidate inference unit 10 and the knowledge database 11. It has a part 9.

【0010】また対象のシステム2は自動制御装置4
と,それから操作信号を受ける制御対象5を有する。
The target system 2 is an automatic controller 4
And a controlled object 5 which receives an operation signal therefrom.

【0011】制御対象の状態に関するデータベース6は
制御対象5からその状態情報をデータベースとして入力
する。自動同定機能装置7は、制御対象の状態に関する
データベース6から状態情報を入力して制御対象5の特
性を同定する。また高速シミュレータ8は制御対象5か
ら現在のシステムの状態情報および自動同定機能装置7
からの出力を受けシミュレーションを行い、予測値を出
力し、妥当性評価部9へ送る。
The database 6 regarding the state of the controlled object inputs the state information from the controlled object 5 as a database. The automatic identification function device 7 inputs the state information from the database 6 regarding the state of the controlled object and identifies the characteristic of the controlled object 5. In addition, the high-speed simulator 8 uses the controlled object 5 to detect the current system status information and the automatic identification function device 7.
A simulation is performed by receiving the output from the device, the predicted value is output, and the value is sent to the validity evaluation unit 9.

【0012】制御対象5は現在のシステムの状態情報を
対応操作候補推論部10および妥当性評価部9へ送る。
The control target 5 sends the current system state information to the corresponding operation candidate inference unit 10 and the validity evaluation unit 9.

【0013】以上において、対象のシステム2の制御対
象5から制御対象の状態情報が、制御対象の状態に関す
るデータベース6に入力される。自動同定機能装置7は
制御対象の状態に関するデータベース6から状態情報を
入力し、制御対象の特性の同定を行う。高速シミュレー
タ8は、制御対象5から現在のシステムの状態情報およ
び自動同定機能装置7から信号を受け、シミュレーショ
ンによりシステムの経年変化も加味した状態の予測値を
算出する。
In the above, the state information of the controlled object from the controlled object 5 of the target system 2 is input to the database 6 regarding the state of the controlled object. The automatic identification function device 7 inputs the state information from the database 6 regarding the state of the controlled object, and identifies the characteristic of the controlled object. The high-speed simulator 8 receives the current system state information from the controlled object 5 and a signal from the automatic identification function device 7, and calculates a predicted value of the state in consideration of the secular change of the system by simulation.

【0014】エキスパートシステム本体3では、対応操
作候補推論部10が知識データベース11から知識およ
び制御対象5から現在のシステムの状態情報を入力し、
複数の対応操作候補を算出する。また妥当性評価部9は
知識データベースから知識,対応操作候補推論部から複
数の対応操作候補情報、および高速シミュレータから予
測値を入力する。そして複数の対応操作候補を評価し、
現在のシステムの状態より対応操作を行う余裕があるか
どうかの判定を行う。また高速シミュレータ8より得ら
れた予測値からは、対応操作を行ったときに、その操作
が将来,システム2に対して悪影響を及ぼさないかどう
かの評価を行う。そして、一つの対応操作を選び対応操
作ガイド情報として出力する。
In the expert system body 3, the corresponding operation candidate inference unit 10 inputs knowledge from the knowledge database 11 and state information of the current system from the controlled object 5,
A plurality of corresponding operation candidates are calculated. Further, the validity evaluation unit 9 inputs knowledge from the knowledge database, a plurality of corresponding operation candidate information from the corresponding operation candidate inference unit, and a predicted value from the high speed simulator. And evaluate multiple corresponding operation candidates,
It is determined whether or not there is room to perform the corresponding operation based on the current system state. Further, based on the predicted value obtained from the high-speed simulator 8, it is evaluated whether or not the corresponding operation will adversely affect the system 2 in the future when the corresponding operation is performed. Then, one corresponding operation is selected and output as corresponding operation guide information.

【0015】オペレータは対応操作ガイドに従ってシス
テム2を操作する。以上のようにして、対象のシステム
2に異常が生じたとき、エキスパートシステム本体3は
熟練オペレータが対応操作を行うのと同様の操作を操作
ガイド情報として出力する。
The operator operates the system 2 according to the corresponding operation guide. As described above, when an abnormality occurs in the target system 2, the expert system body 3 outputs, as operation guide information, an operation similar to that performed by a skilled operator.

【0016】この操作ガイドはシステムの現状および将
来に対しても最適なものである。すなわち、対応操作に
よりシステムは正常になるとともに、将来に悪影響を受
けることもない。
This operation guide is optimal for the present and future of the system. That is, the corresponding operation makes the system normal and is not adversely affected in the future.

【0017】なお、上記で妥当性評価部9の出力を制御
対象5に入力し、全自動化を図ってもよい。
The output of the validity evaluation section 9 may be input to the controlled object 5 for full automation.

【0018】[0018]

【発明の効果】以上に説明したように本発明は次の効果
を奏する。 (1) システム異常時において、熟練オペレータが行
うのと同様の対応操作ガイド情報を出力する。 (2) システムに対して、悪影響を及ぼすような対応
操作をガイドしなくなる。
As described above, the present invention has the following effects. (1) When the system is abnormal, the corresponding operation guide information similar to that performed by a skilled operator is output. (2) The system will no longer guide the corresponding operation that may have an adverse effect.

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

【図1】図1は本発明の一実施例の構成ブロック図であ
る。
FIG. 1 is a configuration block diagram of an embodiment of the present invention.

【符号の説明】[Explanation of symbols]

1 操作員(オペレータ) 2 システム 3 エキスパートシステム本体 4 自動制御装置 5 制御対象 6 制御対象の状態に関するデータベース(データ
ベース) 7 自動同定機能装置 8 高速シミュレータ 9 妥当性評価部 10 対応操作候補推論部 11 知識データベース
1 Operator 2 System 3 Expert system main body 4 Automatic control device 5 Controlled object 6 Database (database) about the state of controlled object 7 Automatic identification function device 8 High speed simulator 9 Validity evaluation unit 10 Corresponding operation candidate reasoning unit 11 Knowledge The database

───────────────────────────────────────────────────── フロントページの続き (72)発明者 香月 謙二 長崎市飽の浦町1番1号 三菱重工業株式 会社長崎研究所内 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Kenji Kazuki 1-1, Atsunoura-cho, Nagasaki-shi Nagasaki Research Institute, Mitsubishi Heavy Industries, Ltd.

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 熟練オペレータの知識を基にした知識デ
ータベースから信号を受ける対応操作候補推論部,同対
応操作候補推論部,および上記知識データベースから信
号を受ける妥当性評価部を有するエキスパートシステム
本体と,制御対象およびその自動制御装置を有する対象
のシステムと,上記制御対象の状態情報を入力する、制
御対象の状態に関するデータベースと,同データベース
からの信号を受け上記制御対象の特性を同定する自動同
定機能装置と,同自動同定機能装置からの情報および上
記制御対象から現在のシステムの状態情報を受け上記シ
ステムのシミュレーションを行い予測値を算出する高速
シミュレータとを備え、上記対応操作候補推論部は上記
制御対象から現在のシステムの状態情報を受け、複数の
対応操作候補情報を出力し、妥当性評価部は上記制御対
象から現在のシステムの状態情報、上記高速シミュレー
タから予測値,および上記複数の対応操作候補情報を受
け、同対応操作候補が上記システムの現状および将来に
対して妥当どうかを評価し、妥当な上記対応操作候補を
操作ガイド情報として出力することを特徴とするエキス
パートシステム。
1. An expert system main body having a corresponding operation candidate inference unit that receives a signal from a knowledge database based on the knowledge of a skilled operator, a corresponding operation candidate inference unit, and a validity evaluation unit that receives a signal from the knowledge database. , A target system having a controlled object and its automatic control device, a database regarding the state of the controlled object for inputting state information of the controlled object, and an automatic identification for identifying the characteristic of the controlled object by receiving a signal from the database And a high-speed simulator that receives information from the automatic identification function device and state information of the current system from the control target and simulates the system to calculate a predicted value. Receives the current system status information from the control target and outputs multiple corresponding operation candidate information. The validity evaluation unit receives the current system status information from the controlled object, the predicted value from the high-speed simulator, and the plurality of corresponding operation candidate information, and the corresponding operation candidate relates to the present and future of the system. The expert system is characterized by evaluating whether or not it is appropriate and outputting the appropriate corresponding operation candidates as operation guide information.
JP3236156A 1991-09-17 1991-09-17 Expert system Withdrawn JPH0573131A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP3236156A JPH0573131A (en) 1991-09-17 1991-09-17 Expert system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP3236156A JPH0573131A (en) 1991-09-17 1991-09-17 Expert system

Publications (1)

Publication Number Publication Date
JPH0573131A true JPH0573131A (en) 1993-03-26

Family

ID=16996596

Family Applications (1)

Application Number Title Priority Date Filing Date
JP3236156A Withdrawn JPH0573131A (en) 1991-09-17 1991-09-17 Expert system

Country Status (1)

Country Link
JP (1) JPH0573131A (en)

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JPH07121207A (en) * 1993-10-21 1995-05-12 Mitsubishi Heavy Ind Ltd Expert system
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US10168691B2 (en) 2014-10-06 2019-01-01 Fisher-Rosemount Systems, Inc. Data pipeline for process control system analytics
US10223327B2 (en) 2013-03-14 2019-03-05 Fisher-Rosemount Systems, Inc. Collecting and delivering data to a big data machine in a process control system
US10282676B2 (en) 2014-10-06 2019-05-07 Fisher-Rosemount Systems, Inc. Automatic signal processing-based learning in a process plant
US10296668B2 (en) 2013-03-15 2019-05-21 Fisher-Rosemount Systems, Inc. Data modeling studio
US10386827B2 (en) 2013-03-04 2019-08-20 Fisher-Rosemount Systems, Inc. Distributed industrial performance monitoring and analytics platform
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US10866952B2 (en) 2013-03-04 2020-12-15 Fisher-Rosemount Systems, Inc. Source-independent queries in distributed industrial system
US10386827B2 (en) 2013-03-04 2019-08-20 Fisher-Rosemount Systems, Inc. Distributed industrial performance monitoring and analytics platform
US10649424B2 (en) 2013-03-04 2020-05-12 Fisher-Rosemount Systems, Inc. Distributed industrial performance monitoring and analytics
US10649449B2 (en) 2013-03-04 2020-05-12 Fisher-Rosemount Systems, Inc. Distributed industrial performance monitoring and analytics
US11385608B2 (en) 2013-03-04 2022-07-12 Fisher-Rosemount Systems, Inc. Big data in process control systems
US10678225B2 (en) 2013-03-04 2020-06-09 Fisher-Rosemount Systems, Inc. Data analytic services for distributed industrial performance monitoring
US10223327B2 (en) 2013-03-14 2019-03-05 Fisher-Rosemount Systems, Inc. Collecting and delivering data to a big data machine in a process control system
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US10551799B2 (en) 2013-03-15 2020-02-04 Fisher-Rosemount Systems, Inc. Method and apparatus for determining the position of a mobile control device in a process plant
US10152031B2 (en) 2013-03-15 2018-12-11 Fisher-Rosemount Systems, Inc. Generating checklists in a process control environment
US11169651B2 (en) 2013-03-15 2021-11-09 Fisher-Rosemount Systems, Inc. Method and apparatus for controlling a process plant with location aware mobile devices
US11112925B2 (en) 2013-03-15 2021-09-07 Fisher-Rosemount Systems, Inc. Supervisor engine for process control
US10649412B2 (en) 2013-03-15 2020-05-12 Fisher-Rosemount Systems, Inc. Method and apparatus for seamless state transfer between user interface devices in a mobile control room
JP2019091497A (en) * 2013-03-15 2019-06-13 フィッシャー−ローズマウント システムズ,インコーポレイテッド Method and apparatus for managing work flow in process plant, and process control system
US10671028B2 (en) 2013-03-15 2020-06-02 Fisher-Rosemount Systems, Inc. Method and apparatus for managing a work flow in a process plant
US10296668B2 (en) 2013-03-15 2019-05-21 Fisher-Rosemount Systems, Inc. Data modeling studio
JP2014238819A (en) * 2013-03-15 2014-12-18 フィッシャー−ローズマウント システムズ,インコーポレイテッド Method and apparatus for managing work flow in process plant
US10656627B2 (en) 2014-01-31 2020-05-19 Fisher-Rosemount Systems, Inc. Managing big data in process control systems
JPWO2015151267A1 (en) * 2014-04-04 2017-04-13 株式会社日立製作所 Plant accident operation support equipment
US10909137B2 (en) 2014-10-06 2021-02-02 Fisher-Rosemount Systems, Inc. Streaming data for analytics in process control systems
US10282676B2 (en) 2014-10-06 2019-05-07 Fisher-Rosemount Systems, Inc. Automatic signal processing-based learning in a process plant
US10168691B2 (en) 2014-10-06 2019-01-01 Fisher-Rosemount Systems, Inc. Data pipeline for process control system analytics
US11886155B2 (en) 2015-10-09 2024-01-30 Fisher-Rosemount Systems, Inc. Distributed industrial performance monitoring and analytics
US10503483B2 (en) 2016-02-12 2019-12-10 Fisher-Rosemount Systems, Inc. Rule builder in a process control network

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