TW201941009A - Monitoring device, monitoring method, program, display device and plant - Google Patents

Monitoring device, monitoring method, program, display device and plant Download PDF

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TW201941009A
TW201941009A TW108103031A TW108103031A TW201941009A TW 201941009 A TW201941009 A TW 201941009A TW 108103031 A TW108103031 A TW 108103031A TW 108103031 A TW108103031 A TW 108103031A TW 201941009 A TW201941009 A TW 201941009A
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timing
event
data
display
process value
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TW108103031A
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TWI735844B (en
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門脇正法
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日商住友重機械工業股份有限公司
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267—Fault communication, e.g. human machine interface [HMI]
    • G05B23/0272—Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Human Computer Interaction (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Digital Computer Display Output (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

A process data/event data time series display unit 70 displays, aligned on the time axis, a time series of process values relating to the state of a system and a time series of events relating to process control of the system. The process data/event data time series display unit 70 displays the time series of events by displaying marks representing event occurrences at the event occurrence times on the time axis. A display mode switching unit 80 allows an operator to select whether to display the time series of events in parallel with or superimposed on the time series of process values.

Description

異常監視裝置及異常監視方法Abnormal monitoring device and abnormal monitoring method

本申請主張基於2018年3月20日申請之日本專利申請第2018-053118號之優先權。該日本申請的全部內容藉由參閱援用於本說明書中。
本發明係有關一種異常監視裝置及異常監視方法。This application claims priority based on Japanese Patent Application No. 2018-053118 filed on March 20, 2018. The entire contents of this Japanese application are incorporated herein by reference.
The invention relates to an abnormality monitoring device and an abnormality monitoring method.

利用一種異常監視裝置，其對化學設備或發電設備等製程系系統的運用資料進行分析/監視而檢測異常。運用資料被分為製程資料(process data)和事件資料(event data)。製程資料係製程系系統的各種感測器的計量值、控制用目標設定值或控制補償值、用戶的設定值、基於複數個計量值而運算之指標群等與系統的狀態有關之值的時序資料。事件資料係在製程系系統中發生之事件的履歷，例如包括警報履歷、操作員的操作履歷。
製程資料為計量值等時序資料，因此一般在橫軸上取時間而以圖形(graph)顯示製程值的變化，但事件資料為事件的履歷，因此通常與時戳(timestamp)一同以列表形式進行顯示。如此，製程資料和事件資料採用各自的顯示形態。
(先前技術文獻)
(專利文獻)
專利文獻1：日本特開2017-211839號公報An abnormality monitoring device is used which analyzes / monitors operating data of a process system such as chemical equipment or power generation equipment to detect abnormalities. The application data is divided into process data and event data. Process data is the time series of values related to the status of the system, such as the measured values of various sensors in the process system, target set values or control compensation values, user set values, and index groups calculated based on multiple measured values. data. The event data is a history of events that have occurred in the process system, including, for example, alarm history and operator operation history.
Process data is time series data such as measurement values. Therefore, the time is usually taken on the horizontal axis and the change in process value is displayed in a graph. However, the event data is the history of the event, so it is usually performed in a list form with timestamp. display. In this way, the process data and event data use their respective display forms.
(Prior technical literature)
(Patent Literature)
Patent Document 1: Japanese Patent Application Laid-Open No. 2017-211839

(本發明所欲解決之課題)
當製程系系統中發生了異常時，操作員從事件的履歷列表中參閱發生了警報之時刻來確定異常原因，因此在製程資料的圖形中確認警報發生時刻的製程值的變化，進而從事件的履歷列表中確認同時間段的操作履歷。又，亦有時操作員參閱在製程資料的圖形中製程值顯示出異常變化之時刻，從事件的履歷列表中確認同時間段的操作內容或警報的有無。如此，操作員在異常發生時橫跨製程資料的時序圖形和事件資料的履歷列表而進行跟蹤作業，但由於製程資料與事件資料的顯示形態不同，所以難以掌握製程資料與事件資料的關聯性，又，跟蹤花費時間，亦有時會發生看漏。
本發明的一態樣的例示性目的之一在於提供一種能夠容易掌握製程資料與事件資料的關聯性之異常監視技術。

(用以解決課題之手段)
為了解決上述問題，本發明的一態樣的異常監視裝置包括時序顯示部，該時序顯示部將時間軸對齊而顯示與系統的狀態有關之製程值的時序和與前述系統的製程控制有關之事件的時序。
依該態樣，操作員能夠根據製程值的時序與事件的時序的時間軸對齊之情況來在視覺上掌握製程值與事件的關聯性。
本發明的另一態樣係異常監視方法。該方法包括時序顯示步驟，在該時序顯示步驟中，將時間軸對齊而顯示與系統的狀態有關之製程值的時序和與前述系統的製程控制有關之事件的時序。
另外，將以上構成要素的任意組合或本發明的構成要素或表現在方法、裝置、系統、電腦程式、資料結構、記錄媒體等之間相互替換者，亦作為本發明的態樣而有效。

(發明之效果)
依本發明，能夠容易掌握製程資料與事件資料的關聯性。(Problems to be Solved by the Invention)
When an abnormality occurs in the process system, the operator refers to the time when the alarm occurred to determine the cause of the abnormality from the event history list. Therefore, the process data graph confirms the change in the process value at the time when the alarm occurred. Check the operation history of the same period in the history list. In addition, the operator may refer to the time when the process value shows an abnormal change in the graph of the process data, and may check the operation content or the presence or absence of an alarm from the event history list in the same time period. In this way, the operator traces the time series graphics of the process data and the history list of the event data when the abnormality occurs, but because the display forms of the process data and the event data are different, it is difficult to grasp the correlation between the process data and the event data. In addition, tracking takes time, and oversight may sometimes occur.
One exemplary object of one aspect of the present invention is to provide an abnormality monitoring technology capable of easily grasping the correlation between process data and event data.

(Means to solve problems)
In order to solve the above-mentioned problem, an aspect of the abnormality monitoring device of the present invention includes a timing display unit that aligns the time axis to display the timing of the process value related to the state of the system and the events related to the process control of the aforementioned system. Timing.
According to this aspect, the operator can visually grasp the correlation between the process value and the event according to the alignment of the time series of the process value with the time axis of the time series of the event.
Another aspect of the present invention is an abnormality monitoring method. The method includes a timing display step, in which the time axis is aligned to display a timing of a process value related to a state of the system and a timing of an event related to a process control of the aforementioned system.
In addition, any combination of the above-mentioned constituent elements or the constituent elements of the present invention or the substitution among the methods, devices, systems, computer programs, data structures, recording media, etc. is also effective as aspects of the present invention.

(Effect of the invention)
According to the present invention, the correlation between process data and event data can be easily grasped.

以下，基於較佳實施形態並參閱圖式對本發明進行說明。對各圖式所示之形態相同或等同的構成要素、構件、處理標註相同符號，並適當省略重複說明。又，實施形態並非限定發明者，而是例示，實施形態中所記述之所有特徵或其組合並不一定是發明的本質性者。
圖1係本實施形態之異常監視裝置300的構成圖。異常監視裝置300用以監視製程系系統的異常。異常監視裝置300包括製程資料獲取部10、製程資料選擇候選顯示部20、製程資料選擇部30、事件資料獲取部40、事件資料選擇候選顯示部50、事件資料選擇部60、製程資料/事件資料時序顯示部70及顯示態樣切換部80。
圖4係用以說明異常監視裝置300的畫面例之圖。參閱圖4的畫面例對圖1的異常監視裝置300的各構成進行說明。
製程資料獲取部10以時序資料形式獲取表示製程系系統的狀態之複數個製程值。
圖2係用以說明複數個製程值的時序資料的例子之圖。與時戳一同獲取製程值A、製程值B、製程值C、製程值D等時序資料。
製程資料選擇候選顯示部20將由製程資料獲取部10獲取之複數個製程值作為選擇候選而以列表形式等一覽顯示於畫面。
圖4的製程資料選擇窗口210係由製程資料選擇候選顯示部20顯示之複數個製程值的候選的列表，窗口內的項目能夠藉由上下滾動來實現無法完全顯示之部分的閱覽。在該例子中，製程值A～F顯示於製程資料選擇窗口210。
製程資料選擇部30使操作員從由製程資料選擇候選顯示部20一覽顯示之複數個製程值的候選中選擇一個以上的欲閱覽之製程值。操作員藉由用滑鼠在圖4的製程資料選擇窗口210中點擊欲閱覽之製程值來進行選擇。在該例子中，選擇兩個製程值B、D，且該等所選擇之製程值被強調顯示。
事件資料獲取部40獲取控制製程系系統的製程時之操作員的操作或警報等事件的履歷。
圖3(a)係用以說明操作履歷的例子之圖。與時戳一同獲取操作類別和操作結果的履歷。在該例子中，以操作A、操作A、操作B的順序執行，操作結果依序為S(成功)、F(失敗)、S(成功)、S(成功)。
圖3(b)係用以說明警報履歷的例子之圖。與時戳一同獲取警報類別和警報等級的履歷。在該例子中，以警報P、警報P、警報P、警報Q的順序發生了警報事件，警報等級依序為L(低)、L(低)、H(高)、L(低)。
事件資料選擇候選顯示部50將由事件資料獲取部40獲取之複數個事件資料作為選擇候選而以列表形式等一覽顯示於畫面。
圖4的事件資料選擇窗口220係由事件資料選擇候選顯示部50顯示之複數個事件的候選的列表，窗口內的項目能夠藉由上下滾動來實現無法完全顯示之部分的閱覽。在該例子中，警報P、Q、R、操作A、B、C顯示於事件資料選擇窗口220。
事件資料選擇部60使操作員從由事件資料選擇候選顯示部50一覽顯示之複數個事件的候選中選擇一個以上的欲閱覽之事件。操作員藉由用滑鼠等在圖4的事件資料選擇窗口220中點擊欲閱覽之事件來進行選擇。在該例子中，選擇了兩個警報P、Q和一個操作B，且該等所選擇之事件被強調顯示。
另外，若製程值超過既定的閾值，則發出警報或者操作員進行操作，進行警報輸出或操作輸入的結果，會對特定的製程值產生影響，因此有時製程值與事件會被相互建立關聯。為了使操作員容易選擇相互有關聯之製程值和事件，可以在操作員在製程資料選擇窗口210中選擇製程值時在事件資料選擇窗口220中強調顯示有關聯之事件。相反地，亦可以在操作員在事件資料選擇窗口220中選擇事件時在製程資料選擇窗口210中強調顯示有關聯之製程值。
製程資料/事件資料時序顯示部70(以下，為了簡化而稱為“時序顯示部70”)將時間軸對齊而顯示由操作員選擇之製程值和事件的時序資料。
製程資料選擇部30將由操作員選擇之製程值通知給時序顯示部70，事件資料選擇部60將由操作員選擇之事件通知給時序顯示部70。時序顯示部70從製程資料獲取部10獲取由操作員選擇之製程值的時序資料，並從事件資料獲取部40獲取由操作員選擇之事件的時序資料。
作為製程值的時序資料和事件的時序資料的一種顯示態樣，時序顯示部70將時間軸對齊而並列顯示製程值的時序資料和事件的時序資料。
圖4的製程時序圖形230係將橫軸作為時間而以折線圖顯示由操作員選擇之製程值的時序資料者。在此，顯示有過去六天的製程值的時序資料。製程值B的時序資料以實線顯示，製程值D的時序資料以點線顯示。
圖4的事件時序圖240a、240b、240c係將橫軸作為時間而顯示由操作員選擇之事件的時序資料者。與製程時序圖形230的時間軸對齊而顯示過去六天的事件的時序資料。藉由在時間軸上於發生了事件之時刻上顯示表示事件發生之標記(在此為縱條)來沿著時間軸顯示事件發生的有無。在此，與製程時序圖形230的時間軸對齊而並列顯示警報P的時序圖240a、警報Q的時序圖240b、操作B的時序圖240c。
表示事件發生之標記除了縱條以外，還可以為點或三角形，但在縱條的情況下，容易根據標記的密度來在視覚上掌握事件的發生頻率。
圖4的製程時序圖形230與事件時序圖240a、240b、240c的時間軸對齊，因此操作員能夠同時閱覽製程值的時間變化和事件發生的時間變化而將製程值的變動與事件發生頻率建立關聯來進行掌握。
在圖4中，時序顯示部70將複數個事件的時序資料並列顯示，但亦能夠將複數個事件的時序資料重合顯示。
圖5係用以說明複數個事件的時序資料被重合顯示之例子之圖。在該例子中示出操作員將警報R和操作C作為閱覽對象的事件資料而選擇之情況。與製程時序圖形230的時間軸對齊而顯示事件時序圖242。在事件時序圖242中，警報R的時序資料與操作C的時序資料被重合顯示，警報R的時序資料以實線表示，操作C的時序資料以點線表示。亦可以藉由顏色的差異將警報R的時序資料和操作C的時序資料區分顯示。如此，藉由將複數個事件的時序資料以能夠相互識別之方式重合顯示，操作員能夠容易掌握複數個事件之間的關聯性。例如，藉由這種重合顯示，能夠確認複數個警報的重疊情況或操作與警報的關聯性或影響。
當顯示三個以上的事件的時序資料時，可以將所有事件的時序資料進行重合，但亦可以由操作員選擇欲重合之事件。在該情況下，未被選擇為重合的對象之事件的時序圖相對於重合之事件的時序圖並列顯示。藉此，能夠僅將欲重合閱覽之事件相互重合而在一個圖表上進行確認，除此以外的事件則能夠在並列顯示之圖表上另行確認。若將三個以上的事件的時序資料重合在一個圖表中，則亦有時難以在視覚上區分不同事件的時序資料，但若能夠選擇特定的至少兩個事件並將其重合在一個圖表中，關於剩餘的事件，能夠在並列顯示之圖表中個別地進行確認，則操作員能夠一邊在一個圖表中分析特定的至少兩個事件之間的關聯性，一邊對剩餘事件的發生亦一併進行分析。
作為製程值的時序資料和事件的時序資料的另一種顯示態樣，時序顯示部70將時間軸對齊而重疊顯示製程值的時序資料和事件的時序資料。
圖6係用以說明事件的時序資料與製程值的時序資料被重疊顯示之例子之圖。在製程值/事件時序圖形250中，在作為製程值B、製程值D的時序資料之折線圖上重疊顯示作為警報R和操作C的時序資料之圖表。藉由如此將事件的時序資料與製程值的時序資料重疊，操作員能夠將製程值的變化與事件發生的頻率在一個圖形中建立關聯而進行掌握。
當顯示複數個事件的時序資料時，可以將所有事件的時序資料與製程值的時序資料重疊，但亦可以由操作員選擇欲重疊之事件。在該情況下，未被選擇為重疊的對象之事件的時序圖相對於製程值的時序圖形並列顯示。藉此，操作員能夠僅將欲與製程值的時序重疊而閱覽之事件與製程值的時序圖形重疊而在一個圖形中進行確認，關於其他事件則能夠在並列顯示之圖表中另行確認。若將複數個事件的時序資料與製程值的時序資料重疊，則亦有時難以在視覺上區分不同事件的時序資料，但若能夠僅選擇性地切換特定的事件而與製程值的時序資料重疊，關於剩餘的事件，能夠在相對於製程值的時序圖形並列顯示之圖表中個別地進行確認，則操作員能夠一邊在一個圖形中分析特定的事件的發生與製程值的變化的關聯性，一邊對剩餘事件的發生亦一併進行分析。
時序顯示部70亦能夠將等級高的警報與製程值的時序資料重疊顯示。藉此，即使操作員未將特定的事件選擇為重疊顯示的對象，亦能夠將等級高的警報等重要事件的時序資料與製程值的時序資料自動重疊而掌握關聯性。
圖7係用以說明等級高的警報與製程值的時序資料被重疊顯示之例子之圖。在此，與圖4同樣地，製程時序圖形230和事件時序圖240a、240b、240c將時間軸對齊而並列顯示，但例如關於警報Q，在發生了警報等級高於既定值的“嚴重警報”之時刻，如符號244所示，將表示嚴重警報的發生之標記與製程時序圖形230重疊顯示。藉此，關於嚴重警報，能夠在製程時序圖形230上容易進行確認，關於輕微警報，能夠在事件時序圖240a、240b、240c中另行確認。藉此，關於嚴重警報，能夠將其與製程值的時序資料重疊而使操作員迅速掌握與製程值的變化的關聯性。又，關於輕微警報，亦有可能頻繁發生，因此若將其與製程值的時序資料重疊，則會變得看不清楚，因此無需將其與製程值的時序資料重疊，便能夠藉由與製程時序圖形並列地顯示於事件時序圖表來個別地進行確認。
時序顯示部70可以以不同的顏色區分警報等級的差異來顯示警報的時序資料。例如，藉由以黃色顯示低等級的警報，以紅色顯示高等級的警報，能夠在視覺上容易確認警報等級的高低。
顯示態樣切換部80使操作員選擇製程值和事件的時序資料的顯示態樣，並指示時序顯示部70切換顯示態樣。顯示態樣切換部80使操作員選擇將事件的時序資料與製程值的時序資料並列顯示還是將事件的時序資料與製程值的時序資料重疊顯示。又，當存在複數個事件時，顯示態樣切換部80使操作員選擇將哪個事件的時序資料與製程值的時序資料重疊。又，顯示態樣切換部80使操作員選擇是否將複數個事件的時序資料相互重合顯示。
作為使操作員選擇顯示態樣之方法，能夠利用圖形使用者界面(Graphical User Interface)。例如，操作員能夠藉由用滑鼠等將特定的事件的時序顯示拖放在製程時序圖形上而選擇欲與製程值的時序資料重疊之事件。又，操作員能夠藉由用滑鼠等將特定的事件的時序顯示拖放在其他事件的時序顯示上而選擇欲相互重合顯示之事件。
圖8係表示基於異常監視裝置300之異常監視處理的步驟之流程圖。
操作員從複數個製程值的候選中選擇應閱覽之製程值(S10)。操作員從複數個事件的候選中選擇應閱覽之事件(S12)。在此，設為選擇製程值之後選擇事件之順序，但亦可以在選擇事件之後選擇製程值。這是因為，由於操作員橫跨製程值的時序資料和事件的時序資料而進行跟蹤作業，所以既存在欲根據製程值的異常變化來閱覽同時間段的事件之情況，亦存在欲根據事件的發生時刻來閱覽同時間段的製程值的變化之情況。
時序顯示部70將時間軸對齊而顯示所選擇之製程值的時序資料和所選擇之事件的時序資料(S14)。作為顯示態樣，有與製程值的時序圖形的時間軸對齊而並列顯示事件的時序標記之態樣和與製程值的時序圖形的時間軸對齊而重疊顯示事件的時序標記之態樣。在製程值的時序圖形中並列顯示事件的時序標記之態樣中，操作員能夠個別地閱覽並監視製程值的時間變化和事件的發生頻率，在製程值的時序圖形中重疊顯示事件的時序標記之態樣中，操作員能夠在一個圖形中閱覽並監視製程值的時間變化與事件的發生頻率的關聯性。
顯示態樣切換部80使操作員選擇製程值和事件的時序資料的顯示態樣(S16)。當操作員指示切換顯示態樣時(S16的“是”)，顯示態樣切換部80使時序顯示部70變更顯示態樣(S18)，並返回到步驟S14。例如，當操作員指示了並列顯示的態樣時，將時間軸對齊而將事件的時序圖與製程值的時序圖形並列顯示。當操作員指示了重疊顯示的態樣時，將時間軸對齊而將事件的時序圖與製程值的時序圖形重疊顯示。當操作員未指示切換顯示態樣時(S16的“否”)，跳躍步驟S18，返回到步驟S14。
依本實施形態的異常監視裝置300，藉由將時間軸對齊而顯示製程值的時序資料和事件的時序資料，操作員能夠容易將製程值的變化與事件發生的頻率建立關聯而進行掌握，因此能夠提前支援異常原因的確定與對策擬定。由於製程值的時序圖形與事件的時序圖的時間軸對齊，所以操作員能夠容易進行橫跨製程資料和事件資料之跟蹤作業，異常發生時能夠迅速對應。
以上，根據實施例對本發明進行了說明。本發明並不限定於上述實施形態，本領域技術人員應可理解，能夠進行各種設計變更，能夠進行各種變形例，並且這種變形例亦在本發明的範圍內。Hereinafter, the present invention will be described based on preferred embodiments and with reference to the drawings. The same or equivalent constituent elements, components, and processes shown in the drawings are denoted by the same symbols, and repeated descriptions are appropriately omitted. In addition, the embodiment is not limited to the inventor, but is an example, and all the features or combinations described in the embodiment are not necessarily essential to the invention.
FIG. 1 is a configuration diagram of an abnormality monitoring device 300 according to this embodiment. The abnormality monitoring device 300 is used to monitor abnormalities of the process system. The abnormality monitoring device 300 includes a process data acquisition unit 10, a process data selection candidate display unit 20, a process data selection unit 30, an event data acquisition unit 40, an event data selection candidate display unit 50, an event data selection unit 60, and process data / event data. The timing display unit 70 and the display mode switching unit 80.
FIG. 4 is a diagram for explaining a screen example of the abnormality monitoring device 300. Each structure of the abnormality monitoring apparatus 300 of FIG. 1 is demonstrated with reference to the screen example of FIG.
The process data acquisition unit 10 acquires a plurality of process values indicating the state of the process system in the form of time series data.
FIG. 2 is a diagram illustrating an example of timing data of a plurality of process values. Acquire time series data such as process value A, process value B, process value C, and process value D together with the time stamp.
The process data selection candidate display unit 20 displays a plurality of process values acquired by the process data acquisition unit 10 as selection candidates and displays the list in a list or the like on a screen.
The process data selection window 210 in FIG. 4 is a list of a plurality of process value candidates displayed by the process data selection candidate display section 20. The items in the window can be viewed by scrolling up and down. In this example, the process values A to F are displayed in the process data selection window 210.
The process data selection unit 30 allows the operator to select one or more process values to be viewed from among the plurality of process value candidates displayed in a list by the process data selection candidate display unit 20. The operator makes a selection by clicking the process value to be viewed in the process data selection window 210 of FIG. 4 with a mouse. In this example, two process values B, D are selected, and these selected process values are highlighted.
The event data acquisition unit 40 acquires a history of events such as an operator's operation or an alarm during the control process of the system.
FIG. 3 (a) is a diagram for explaining an example of the operation history. Get a history of operation types and operation results with the time stamp. In this example, operation A, operation A, and operation B are performed in sequence, and the operation results are sequentially S (success), F (failure), S (success), and S (success).
FIG. 3 (b) is a diagram for explaining an example of the alarm history. Get history of alarm type and alarm level with time stamp. In this example, alarm events occur in the order of alarm P, alarm P, alarm P, and alarm Q, and the alarm levels are L (low), L (low), H (high), and L (low) in this order.
The event data selection candidate display unit 50 displays a plurality of event data acquired by the event data acquisition unit 40 as selection candidates and displays the list in a list or the like on the screen.
The event data selection window 220 in FIG. 4 is a list of a plurality of event candidates displayed by the event data selection candidate display unit 50. The items in the window can be viewed by scrolling up and down. In this example, the alarms P, Q, R, and operations A, B, and C are displayed on the event material selection window 220.
The event data selection unit 60 causes the operator to select one or more events to be viewed from among a plurality of event candidates displayed in a list by the event data selection candidate display unit 50. The operator makes a selection by clicking an event to be viewed in the event data selection window 220 of FIG. 4 with a mouse or the like. In this example, two alarms P, Q and one action B are selected, and these selected events are highlighted.
In addition, if the process value exceeds a predetermined threshold, an alarm is issued or an operator performs an operation, and the result of an alarm output or an operation input will affect a specific process value. Therefore, the process value and the event may be related to each other. In order to make it easier for the operator to select process values and events that are related to each other, when the operator selects a process value in the process data selection window 210, the associated event may be highlighted in the event data selection window 220. Conversely, when the operator selects an event in the event data selection window 220, the associated process value may be highlighted in the process data selection window 210.
The process data / event data timing display unit 70 (hereinafter, referred to as "timing display unit 70" for simplicity) aligns the time axis and displays the process data and event timing data selected by the operator.
The process data selection unit 30 notifies the timing display unit 70 of the process value selected by the operator, and the event data selection unit 60 notifies the timing display unit 70 of the event selected by the operator. The timing display unit 70 acquires the timing data of the process value selected by the operator from the process data acquisition unit 10, and acquires the timing data of the event selected by the operator from the event data acquisition unit 40.
As a display form of the timing data of the process value and the timing data of the event, the timing display unit 70 aligns the time axis and displays the timing data of the process value and the timing data of the event side by side.
The process timing graph 230 of FIG. 4 is a time series data showing the process value selected by the operator in a line chart with the horizontal axis as time. Here, the time series data of the process value of the past six days is displayed. The time series data of the process value B is displayed by a solid line, and the time series data of the process value D is displayed by a dotted line.
The event sequence diagrams 240a, 240b, and 240c of FIG. 4 are time sequence data persons who display the event selected by the operator with the horizontal axis as time. Aligned with the time axis of the process timing graph 230 to display timing data for events in the past six days. The presence or absence of an event is displayed along the time axis by displaying a mark (here, a vertical bar) indicating the occurrence of the event on the time axis at the moment when the event occurred. Here, the timing chart 240a of the alarm P, the timing chart 240b of the alarm Q, and the timing chart 240c of the operation B are displayed in parallel with the time axis of the process timing graph 230.
In addition to the vertical bar, the marker indicating the occurrence of an event can be a dot or a triangle. However, in the case of a vertical bar, it is easy to grasp the frequency of occurrence of an event on the view depending on the density of the marker.
The process timing diagram 230 of FIG. 4 is aligned with the time axis of the event timing diagrams 240a, 240b, and 240c. Therefore, the operator can simultaneously view the time change of the process value and the time change of the event, and associate the change of the process value with the frequency of the event. To master.
In FIG. 4, the timing display unit 70 displays the timing data of a plurality of events in parallel, but it is also possible to superimpose and display the timing data of a plurality of events.
FIG. 5 is a diagram for explaining an example in which time series data of a plurality of events are superimposed and displayed. This example shows a case where the operator selects the alarm R and the operation C as event data to be viewed. The event timing diagram 242 is displayed aligned with the time axis of the process timing diagram 230. In the event timing diagram 242, the timing data of alarm R and the timing data of operation C are superimposed and displayed. The timing data of alarm R is indicated by a solid line, and the timing data of operation C is indicated by a dotted line. The timing data of alarm R and the timing data of operation C can also be distinguished and displayed by the difference in color. In this way, by superimposing and displaying the time-series data of the plurality of events in such a manner that they can be mutually recognized, the operator can easily grasp the correlation between the plurality of events. For example, by such a superimposed display, it is possible to confirm the overlapping condition of a plurality of alarms or the relevance or influence of an operation to an alarm.
When the time series data of more than three events are displayed, the time series data of all events can be overlapped, but the operator can also select the events to be overlapped. In this case, the timing chart of events that have not been selected as coincident objects is displayed side by side with respect to the timing chart of the coincident events. With this, it is possible to confirm only one event to be overlapped and viewed on one graph, and other events can be confirmed separately on the graph displayed side by side. If the time series data of more than three events are superimposed on a chart, it is sometimes difficult to distinguish the time series data of different events on the view, but if you can select at least two specific events and superimpose them on a chart, The remaining events can be individually confirmed in the graphs displayed side by side. The operator can analyze the occurrence of the remaining events in one graph while analyzing the correlation between the specific at least two events. .
As another display form of the timing data of the process value and the timing data of the event, the timing display unit 70 aligns the time axis and superimposes the timing data of the process value and the timing data of the event.
FIG. 6 is a diagram for explaining an example in which the timing data of an event and the timing data of a process value are overlapped and displayed. In the process value / event timing graph 250, a line chart which is the time series data of the process value B and the process value D is superimposed and displayed as a chart of the time series data of the alarm R and the operation C. By overlapping the time series data of the event with the time series data of the process value, the operator can grasp the change of the process value and the frequency of the event in a graph.
When displaying the timing data of multiple events, the timing data of all events can be overlapped with the timing data of the process value, but the operator can also select the events to be overlapped. In this case, the timing chart of events that are not selected as the overlapping object is displayed side by side with the timing chart of the process value. Thereby, the operator can confirm only one event which is intended to overlap with the time sequence of the process value and the time sequence graph of the process value, and confirm it in one graph, and other events can be confirmed separately in the graph displayed side by side. If the time series data of multiple events overlap with the time series data of the process value, it is sometimes difficult to visually distinguish the time series data of different events, but if the specific event can be selectively switched only to overlap with the time series data of the process value As for the remaining events, they can be individually confirmed in the graph displayed side by side with the time series graph of the process value. The operator can analyze the correlation between the occurrence of a specific event and the change of the process value in one graph. The occurrence of the remaining events is also analyzed.
The timing display unit 70 can also display high-level alarms and timing data of process values in an overlapping manner. Thereby, even if the operator does not select a specific event as an object for overlapping display, the timing data of important events such as high-level alarms and the timing data of process values can be automatically superimposed to grasp the correlation.
FIG. 7 is a diagram for explaining an example in which time-series data of high-level alarms and process values are superimposed and displayed. Here, as in FIG. 4, the process timing graph 230 and the event timing graphs 240 a, 240 b, and 240 c are aligned and displayed side by side. However, for example, regarding the alarm Q, a “critical alarm” with an alarm level higher than a predetermined value occurs. At this time, as shown by the symbol 244, a mark indicating the occurrence of a serious alarm is superimposed on the process timing graph 230 and displayed. Thereby, the serious alarm can be easily confirmed on the process sequence diagram 230, and the minor alarm can be confirmed separately in the event sequence diagrams 240a, 240b, and 240c. With this, the critical alarm can be superimposed on the time series data of the process value, so that the operator can quickly grasp the correlation with the change of the process value. In addition, minor alarms may occur frequently. Therefore, if it overlaps with the timing data of the process value, it will become unclear. Therefore, it is not necessary to overlap it with the timing data of the process value. The timing graphs are displayed side by side on the event timing graph for individual confirmation.
The timing display unit 70 may display the timing information of the alarm by distinguishing the difference in the alarm level with different colors. For example, by displaying a low-level alarm in yellow and a high-level alarm in red, it is possible to easily visually confirm the level of the alarm.
The display mode switching unit 80 enables the operator to select a display mode of the time series data of the process value and the event, and instructs the time sequence display unit 70 to switch the display mode. The display mode switching unit 80 allows the operator to select whether to display the time series data of the event in parallel with the time series data of the process value or to superimpose the time series data of the event and the time series data of the process value. When there are a plurality of events, the display mode switching unit 80 allows the operator to select which event timing data overlaps with the timing data of the process value. In addition, the display mode switching unit 80 allows the operator to select whether or not to display the time-series data of a plurality of events on top of each other.
As a method for the operator to select a display mode, a graphical user interface can be used. For example, the operator can select an event to be overlapped with the timing data of the process value by dragging and dropping the timing display of a specific event on the process timing graph with a mouse or the like. In addition, the operator can select events to be overlapped and displayed by dragging and dropping a time series display of a specific event on a time series display of other events with a mouse or the like.
FIG. 8 is a flowchart showing a procedure of an abnormality monitoring process by the abnormality monitoring device 300.
The operator selects a process value to be viewed from among the plurality of process value candidates (S10). The operator selects an event to be viewed from among a plurality of event candidates (S12). Here, the order of events is selected after the process value is selected, but the process value may also be selected after the event is selected. This is because the operator performs tracking operations across the time series data of the process value and the time series data of the event. Therefore, there are cases where the user wants to view events in the same time period according to abnormal changes in the process value, and there are also cases where View the changes in the process value at the same time.
The timing display unit 70 aligns the time axis to display the timing data of the selected process value and the timing data of the selected event (S14). As the display state, there is a state where the time mark of the event is aligned and aligned with the time axis of the time series graph of the process value, and a state where the time mark of the event is overlapped and displayed while aligned with the time axis of the time series graph of the process value. In the case where the timing marks of the events are displayed side by side in the timing diagram of the process value, the operator can individually view and monitor the time changes of the process value and the frequency of the event, and the timing marks of the event are superimposed on the timing diagram of the process value In this case, the operator can view and monitor the correlation between the time variation of the process value and the frequency of events in a graph.
The display mode switching unit 80 causes the operator to select a display mode of the time series data of the process value and the event (S16). When the operator instructs to switch the display mode (YES in S16), the display mode switching unit 80 causes the timing display unit 70 to change the display mode (S18), and returns to step S14. For example, when the operator instructs the state of side-by-side display, the time axis is aligned and the timing diagram of the event and the timing diagram of the process value are displayed side by side. When the operator instructs the superimposed display, the time axis is aligned and the timing diagram of the event is overlapped with the timing diagram of the process value. When the operator has not instructed to switch the display mode (NO in S16), step S18 is skipped and the process returns to step S14.
According to the abnormality monitoring device 300 of this embodiment, by aligning the time axis to display the time series data of the process value and the time series data of the event, the operator can easily correlate the change of the process value with the frequency of the event and grasp it. It can support the determination of the cause of the abnormality and the formulation of countermeasures in advance. Because the time series graph of the process value is aligned with the time axis of the time series diagram of the event, the operator can easily perform the tracking operation across the process data and event data, and can respond quickly when an abnormality occurs.
The present invention has been described based on the embodiments. The present invention is not limited to the above-mentioned embodiments, and those skilled in the art should understand that various design changes and various modifications can be made, and such modifications are also within the scope of the present invention.

10‧‧‧製程資料獲取部10‧‧‧Process data acquisition department

20‧‧‧製程資料選擇候選顯示部 20‧‧‧Processing data selection candidate display section

30‧‧‧製程資料選擇部 30‧‧‧Process data selection department

40‧‧‧事件資料獲取部 40‧‧‧Event Information Acquisition Department

50‧‧‧事件資料選擇候選顯示部 50‧‧‧Event data selection candidate display section

60‧‧‧事件資料選擇部 60‧‧‧Event Data Selection Department

70‧‧‧製程資料/事件資料時序顯示部 70‧‧‧Process data / event data timing display section

80‧‧‧顯示態樣切換部 80‧‧‧Display mode switching section

300‧‧‧異常監視裝置 300‧‧‧ Anomaly monitoring device

圖1係本實施形態之異常監視裝置的構成圖。FIG. 1 is a configuration diagram of an abnormality monitoring device according to this embodiment.

圖2係用以說明複數個製程值的時序資料的例子之圖。 FIG. 2 is a diagram illustrating an example of timing data of a plurality of process values.

圖3(a)係用以說明操作履歷的例子之圖，圖3(b)係用以說明警報履歷的例子之圖。 FIG. 3 (a) is a diagram illustrating an example of an operation history, and FIG. 3 (b) is a diagram illustrating an example of an alarm history.

圖4係用以說明圖1的異常監視裝置的畫面例之圖。 FIG. 4 is a diagram for explaining a screen example of the abnormality monitoring device of FIG. 1.

圖5係用以說明複數個事件的時序資料被重合顯示之例子之圖。 FIG. 5 is a diagram for explaining an example in which time series data of a plurality of events are superimposed and displayed.

圖6係用以說明事件的時序資料與製程值的時序資料重疊顯示之例子之圖。 FIG. 6 is a diagram for explaining an example of overlapping display of time series data of events and time series data of process values.

圖7係用以說明等級高的警報與製程值的時序資料重疊顯示之例子之圖。 FIG. 7 is a diagram for explaining an example of overlapping display of time-series data of high-level alarms and process values.

圖8係表示基於圖1的異常監視裝置之異常監視處理的步驟之流程圖。 FIG. 8 is a flowchart showing a procedure of an abnormality monitoring process by the abnormality monitoring device of FIG. 1.

Claims (9)

一種異常監視裝置，其特徵為，包括： 時序顯示部，將時間軸對齊而顯示與系統的狀態有關之製程值的時序和與前述系統的製程控制有關之事件的時序。An abnormality monitoring device, comprising: The timing display unit aligns the time axis to display a timing of a process value related to the state of the system and a timing of an event related to the process control of the system. 如申請專利範圍第1項所述之異常監視裝置，其中 前述時序顯示部藉由在時間軸上的事件發生時刻顯示表示事件發生之標記來顯示前述事件的時序。The abnormality monitoring device according to item 1 of the scope of patent application, wherein The timing display unit displays a timing of the event by displaying a mark indicating the occurrence of the event at the event occurrence time on the time axis. 如申請專利範圍第1或2項所述之異常監視裝置，其還包括： 選擇部，使操作員從前述製程值的候選或前述事件的候選中選擇應閱覽之前述製程值或應閱覽之前述事件， 前述時序顯示部切換顯示由前述操作員選擇之製程值或事件的時序。The abnormality monitoring device according to item 1 or 2 of the scope of patent application, further comprising: The selection unit enables the operator to select the process value to be viewed or the event to be viewed from the candidates of the process value or the candidates of the event, The timing display section switches and displays the timing of the process value or event selected by the operator. 如申請專利範圍第1或2項所述之異常監視裝置，其中 前述時序顯示部將複數個前述事件的時序並列或重合顯示。The abnormality monitoring device according to item 1 or 2 of the scope of patent application, wherein The timing display unit displays the timings of a plurality of the events in parallel or overlapped. 如申請專利範圍第1或2項所述之異常監視裝置，其中 前述時序顯示部將前述事件的時序與前述製程值的時序並列顯示。The abnormality monitoring device according to item 1 or 2 of the scope of patent application, wherein The timing display section displays the timing of the event and the timing of the process value in parallel. 如申請專利範圍第1或2項所述之異常監視裝置，其中 前述時序顯示部將前述事件的時序與前述製程值的時序重疊顯示。The abnormality monitoring device according to item 1 or 2 of the scope of patent application, wherein The timing display section overlaps and displays the timing of the event and the timing of the process value. 如申請專利範圍第1或2項所述之異常監視裝置，其還包括： 切換部，使操作員選擇將前述事件的時序相對於前述製程值的時序並列顯示還是重疊顯示。The abnormality monitoring device according to item 1 or 2 of the scope of patent application, further comprising: The switching unit enables the operator to select whether to display the timing of the event in parallel with or overlap with the timing of the process value. 一種異常監視方法，其特徵為，包括： 時序顯示步驟，將時間軸對齊而顯示與系統的狀態有關之製程值的時序和與前述系統的製程控制有關之事件的時序。An abnormality monitoring method is characterized by: The timing display step aligns the time axis to display the timing of the process value related to the state of the system and the timing of events related to the process control of the aforementioned system. 一種程式，其特徵為，使電腦執行： 時序顯示步驟，將時間軸對齊而顯示與系統的狀態有關之製程值的時序和與前述系統的製程控制有關之事件的時序。A program that causes a computer to execute: The timing display step aligns the time axis to display the timing of the process values related to the state of the system and the timing of events related to the process control of the aforementioned system.
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