JP2012256142A - Plant monitoring control computer system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To prompt reconfirmation before operation and to carry out an erroneous operation preventive measures corresponding to a psychological state of an operator.SOLUTION: The plant monitoring control computer system comprises: a voice input device 1 that is turned ON upon receiving a control command to collect real voices of an operator; real voice input duration determination means 2 that discards the control instruction when the duration exceeds 10 seconds from the turning ON to the completion of the real voice collection but maintains the control instruction when the duration is within 10 seconds; real voice data extraction means 3 that extracts feature information from the real voices collected by the voice input device 1; a storage 50 that stores the feature information in normal state; tension state analysis processing means 60 that compares the feature information obtained by the real voice data extraction means 3 and the feature information from the storage 50 to analyze the tension level; erroneous operation prevention DB80 that stores erroneous operation preventive measures corresponding to the tension level; erroneous operation prevention determination processing means 90 that issues erroneous operation preventive measures based on the tension level obtained from the tension state analysis processing means 60 and the preventive measures obtained from the erroneous operation prevention DB80; and a CRT device 10 that displays the preventive measures issued by the erroneous operation prevention determination processing means 90.

Description

  The present invention relates to a plant monitoring control computer system, and more particularly to a plant monitoring control computer system provided with a function for preventing an operator from operating erroneously.

  As means for preventing erroneous operation of the conventional plant monitoring and control system, voice recognition means for accepting an instruction by uttering the name of the operating end at the operating end of the operator, and that the operating end is selected by voice to the operator. There is a method for informing that there is no error (for example, see Patent Document 1). In addition, there is a method of obligating the setting value to be pointed using a touch panel (see, for example, Patent Document 2).

JP-A-2-218293 (pages 5-6, FIG. 1) Japanese Patent Laid-Open No. 4-199187 (pages 2 to 3 and FIG. 1)

  Since the conventional methods of Patent Document 1 and Patent Document 2 are always performed regardless of whether they are normal or emergency, the operator becomes "familiarized" and re-operation before the operation, which is the original purpose. There is a problem that the effect of prompting confirmation is weakened.

  In addition, misoperation can be caused by various psychological conditions such as driver's "impression (tension)" and "relaxation (relaxation)". However, in the conventional method of preventing erroneous operation, the psychological state of the driver is changed. Without consideration, there is a problem that only a uniform method of preventing erroneous operation can be applied.

  The present invention has been made in order to solve the above-described problems. It is an object of the present invention to encourage reconfirmation before an operation and to implement an optimal erroneous operation prevention measure according to the psychological state of an operator.

A computer system for plant monitoring control according to the present invention is a computer system for plant monitoring control for the purpose of controlling plant equipment and collecting data.
Tension state analysis processing means for outputting the tension degree of the operator;
The erroneous operation prevention measure database storing the erroneous operation prevention measures according to the operator's tension level,
An erroneous operation prevention measure determination processing means for determining an erroneous operation prevention measure to be actually implemented from the degree of tension output by the tension state analysis processing means and the erroneous operation prevention measure of the erroneous operation prevention measure database,
A display device for displaying an erroneous operation prevention measure determined by the erroneous operation prevention measure determination processing means is provided.

According to the plant monitoring control computer system according to the present invention, in the plant monitoring control computer system for the purpose of controlling plant equipment and collecting data,
Tension state analysis processing means for outputting the tension degree of the operator;
The erroneous operation prevention measure database storing the erroneous operation prevention measures according to the operator's tension level,
An erroneous operation prevention measure determination processing means for determining an erroneous operation prevention measure to be actually implemented from the degree of tension output by the tension state analysis processing means and the erroneous operation prevention measure of the erroneous operation prevention measure database,
Since it is provided with a display device that displays the erroneous operation prevention measure determined by the erroneous operation prevention measure determination processing means, it prompts reconfirmation before the control operation, and an appropriate erroneous operation prevention measure according to the psychological state of the operator Can be taken.

It is a block diagram which shows the structure of Embodiment 1 of the computer system for plant monitoring control concerning this invention. It is a flowchart which shows operation | movement of the computer system for plant monitoring control shown in FIG. 5 is a flowchart showing the operation of an erroneous operation prevention measure determination processing unit in the first embodiment. It is a block diagram which shows the structure of Embodiment 2 of the computer system for plant monitoring control concerning this invention. 10 is a flowchart showing an operation of extracting operation data from a keyboard / mouse operation of a normal operator in the second embodiment. It is a flowchart which shows operation | movement of the computer system for plant monitoring control shown in FIG. It is a block diagram which shows the structure of Embodiment 3 of the computer system for plant monitoring control which concerns on this invention. It is a flowchart which shows operation | movement of the computer system for plant monitoring control shown in FIG.

Hereinafter, an embodiment of a computer system for plant monitoring control according to the present invention will be described.
Embodiment 1 FIG.
FIG. 1 is a block diagram showing a configuration of a first embodiment of a plant monitoring control computer system according to the present invention.

  As shown in FIG. 1, the computer system for plant monitoring control according to the first embodiment has a voice input such as a microphone provided in the vicinity of the CRT device 10 of the plant monitoring control computer for collecting the operator's voice. Features of the apparatus 1, the voice input time determination means 2 for determining the time from the start of collection of real voice to the end of collection, the words spoken from the operator's real voice collected by the voice input apparatus 1, speech time, frequency of utterance, etc. Real voice data extraction means 3 for extracting information and converting it into electronic data, real voice data storage memory 40 for temporarily storing feature information extracted by the real voice data extraction means 3, words spoken by the operator in normal times, and utterances of the words The operation end name template 50a in which electronic data related to normal characteristic information such as time is registered and the average value of the frequency in the normal utterance of the operator are extracted. The storage device 50 having the frequency template 50b in which electronic data related to the normal feature information is registered, the feature information extracted by the real voice data extraction means 3, the operation end name template 50a, and the normal feature registered in the frequency template 50b. The tension state analysis processing means 60 that compares the information and outputs the degree of tension at 0 to 100%, the tension degree storage memory 70 that temporarily stores the degree of tension output by the tension state analysis processing means 60, the tension degree From the erroneous operation prevention measure database corresponding to the tension degree stored in the erroneous operation prevention measure database (DB) 80, the tension degree storage memory 70 stored in the tension degree storage memory 70, and the erroneous operation prevention measure DB 80. It is determined by an erroneous operation prevention measure determination processing means 90 and an erroneous operation prevention measure determination processing means 90 for determining an erroneous operation prevention means to be executed. And a CRT 10 for displaying the unit of error prevention.

  The operation end name template 50a and the frequency template 50b of the storage device 50 are loaded with electronic data extracted from the normal voice of the operator, that is, characteristic information in normal times, as indicated by broken line arrows in FIG. Registered.

  For example, when the degree of tension is 50%, the operator is in a normal state, the frequency / speech time is not different from the normal state, and there are few utterance errors in the operation end name. When the degree of tension is 100%, it is an excessive tension state, the frequency is higher than normal, the utterance time is shorter than normal, and there are many utterance errors in the name of the operation end. When the degree of tension is 0%, it is in an excessively relaxed state (a state in which the tension is relaxed), the frequency is lower than normal, the utterance time is long, and there are many utterance errors.

  For example, an erroneous operation prevention measure that displays a warning message “You are nervous. Are you sure you want to do this operation?” Is registered in the erroneous operation prevention measure DB 80, for example, when the degree of tension is 80 to 100%. In addition, for the degree of tension of 0 to 20%, an erroneous operation prevention measure is displayed that displays a warning message “You are in a relaxed state. Are you sure you want to perform this operation?”.

FIG. 2 is a flowchart showing an operation of the computer system for plant monitoring control shown in FIG.
As shown in FIG. 2, first, the voice input device 1 is turned on when the control command button displayed on the CRT device 10 is pressed by an input device such as an operator's keyboard / mouse. The collection of the operator's real voice is started (S1). When the voice input device 1 is turned on, the operator utters a predetermined word such as the name of the operation terminal that issued the command. After the voice input device 1 is turned on, when the time until the end of the collection of the real voice exceeds 10 seconds (in the case of No), the real voice input time determination means 2 discards the control command (S3).

  When the time until the end of the collection of the real voice is less than 10 seconds after the voice input device 1 is turned on (in the case of Yes), the real voice data extraction means 3 extracts the real voice information and stores the real voice data storage memory as electronic data 40 (S4).

  Next, the tension state analysis processing means 60 compares the electronic data related to the normal feature information registered in the operation end name template 50a with the electronic data of the feature information extracted by the real voice data extraction means 3, and matches the words. , That is, the difference between the words in the normal utterance and the words of the utterance extracted by the real voice data extracting means 3 is stored in the range of 0.0 to 1.0 in the area for storing the “utterance error” as an internal variable. (S5). In this case, it is 0.0 when completely identical words are uttered, and 1.0 when completely different words are uttered, and the data extracted by the real voice data extracting means 3 is 0.0-1 Map to a range of .0.

  Next, the tension state analysis processing means 60 subtracts the electronic data related to the feature information (speech time) stored in the real voice data storage memory 40 from the electronic data related to the feature information (speech time) registered in the operation end name template 50a. The value (speech time difference) is stored in an area for storing “speech time difference” as an internal variable (S6).

  Next, the tension state analysis processing means 60 uses the electronic data related to the feature information (speech average frequency) stored in the real voice data storage memory 40 from the electronic data related to the feature information (speech average frequency) registered in the frequency template 50b. The value obtained by subtracting (frequency difference) is stored in an area for storing “speech frequency difference” as an internal variable (S7).

  Next, the tension state analysis processing means 60 calculates a tension degree from each of the internal variables and stores it in the tension degree storage memory 70 (S8). The tension is calculated by first calculating the difference between the normal utterance time and the utterance time extracted by the real voice data extraction means 3 as (a): −1 second = 0, +0.5 second = 100. Map to the range. Next, (b): The difference between the utterance frequency at the normal time and the utterance frequency extracted by the real voice data extraction means 3 is mapped to a range of 0 to 100 where +200 Hz = 0 and −200 Hz = 100. Next, an average value (c) of (a) and (b) is obtained. When the average value (c) is less than 50, the value (d) obtained by multiplying “voice error” (0.0 to 1.0) by −30 is added to (c), and (d) + (c) is tensioned Degree (%). When (c) is 50 or more, a value (e) obtained by multiplying the value of “voice error” (0.0 to 1.0) by +30 is added to (c), and (e) + (c) is expressed as the degree of tension. (%). Here, when the degree of tension (%) is negative, it is set to 0 (%), and when it exceeds 100, it is set to 100 (%). This tension level (%) is stored in the tension level storage memory 70.

  FIG. 3 is a flowchart of the operation of the erroneous operation prevention measure determination processing means in the first embodiment, and the operation of the erroneous operation prevention measure determination processing means 90 will be described based on this flowchart.

  First, the erroneous operation prevention measure determination processing unit 90 scans the erroneous operation prevention measure DB 80, and compares the erroneous operation prevention measure corresponding to the operator's degree of tension in the erroneous operation prevention measure DB 80 with the tension% of the tension degree storage memory 70, An erroneous operation prevention measure associated with the corresponding degree of tension is determined (S9, S10). As a result of scanning the erroneous operation prevention measure DB 80, when there is no corresponding erroneous operation prevention measure (when the degree of tension is normal), the erroneous operation prevention measure is not implemented and a control command is issued to the plant equipment (S13). .

  Next, when there is a corresponding erroneous operation prevention measure, the erroneous operation prevention measure determination processing means 90 displays the erroneous operation prevention measure on the CRT device 10 and presents it to the operator (S11). For example, a warning message “You are nervous. Are you sure you want to do this operation?” And “OK” and “Cancel” buttons are displayed. When the plant operator selects the “OK” button (Yes), it is considered that the control command is permitted, and the control command is executed (S13). When the “Cancel” button is selected (No), the control command is discarded.

  According to the first embodiment, it is possible to present the operator with an erroneous operation prevention measure corresponding to the driver's tension state by analyzing the driver's tension degree from the utterance and the voice characteristic information uttered by the driver. Therefore, it is possible to prompt reconfirmation before the operation, and to take appropriate measures for preventing the erroneous operation according to the psychological state of the operator.

Embodiment 2. FIG.
FIG. 4 is a block diagram showing the configuration of the second embodiment of the computer system for plant monitoring control according to the present invention.

  In the computer system for plant monitoring control according to the second embodiment, as shown in FIG. 4, the keyboard / mouse 10 a provided in the CRT device 10 is used for an interactive operation between the operator and the CRT device 10.

  The computer system for plant monitoring control according to the second embodiment includes an operation data extracting means 31 for analyzing the operation of the keyboard / mouse 10a of the operator and extracting the analysis result as electronic data, and a keyboard / The storage device 51 includes a keyboard / mouse operation history buffer 51a in which mouse operation analysis results and current operator keyboard / mouse operation analysis results are registered as electronic data. For mouse operations, the movement speed of the cursor at a certain time interval and the number of invalid clicks (clicks on areas such as the screen background that do not respond to clicking) are accumulated. For the keyboard, the keystroke speed at a certain time interval and the number of times the delete key is pressed are stored.

  Further, a tension state analysis processing means 61 for analyzing the degree of tension of the operator from the difference between the electronic data in the keyboard / mouse operation history buffer 51a and the electronic data extracted by the operation data extraction means 31 for the current keyboard / mouse operation. Tension degree storage memory 71 that temporarily stores the tension degree analyzed by the tension state analysis processing means 61, an erroneous operation prevention measure database (DB) 81 that stores an erroneous operation countermeasure corresponding to the tension degree, and an erroneous operation of the tension degree storage memory 71 An erroneous operation prevention measure determination processing unit 91 for determining an erroneous operation prevention measure implemented from the prevention measure DB 81, and a CRT device 10 for displaying the erroneous operation prevention means determined by the erroneous operation prevention measure determination processing unit 91 are provided.

  In the erroneous operation prevention measure DB 81, for example, for the degree of tension of 80 to 100%, a warning message “You are nervous. Are you sure you want to perform this operation?” Is registered. In addition, for the degree of tension of 0 to 20%, there is registered a means for preventing an erroneous operation of displaying a warning message “You are in a relaxed state. Are you sure you want to perform this operation?”.

  FIG. 5 shows a flowchart for extracting operation data from the keyboard / mouse operation of the driver in normal operation in the second embodiment. As shown in FIG. 5, the operation data extraction means 31 analyzes the operation of the keyboard / mouse by the operator at intervals of 1 second and stores it in the keyboard / mouse operation history buffer 51a. For mouse operations, the speed of cursor movement and the number of invalid clicks (clicks on areas such as the screen background that do not respond to clicks) are accumulated. For the keyboard, the number of keystrokes and the number of times the delete key is pressed are stored.

FIG. 6 is a flowchart showing the operation of the plant supervisory control computer system shown in FIG. The operation of the supervisory control computer system will be described below with reference to FIG.
First, when the control command button displayed on the CRT device by the operator's input device is pressed, the keyboard / mouse operation history buffer 51a, (a) the analysis results for 30 samples from the operator's present time, and (b ) The analysis result of the operator in the normal time, for example, the analysis result of 30 samples from one hour before is taken out (S1).

  Next, the tension state analysis processing means 61 obtains a value obtained by subtracting the average of the moving speed of the mouse cursor in the analysis result of (a) from the average of the moving speed of the mouse cursor in the analysis result of (b). Is stored in the storage area of “mouse cursor movement speed difference” (S2).

  Next, the tension state analysis processing means 61 uses, as an internal variable, a value obtained by subtracting the average number of invalid clicks of the mouse in the analysis result of (a) from the average number of invalid clicks of the mouse in the analysis result of (b). Store in the storage area of “mouse cursor invalid click difference” (S3).

  Next, the tension state analysis processing means 61 uses “keyboard keystroke” as an internal variable obtained by subtracting the average keystroke frequency of the keyboard in the analysis result of (a) from the average keystroke frequency of the keyboard in the analysis result of (b). It is stored in the storage area of “number of times difference” (S4).

  Next, the tension state analysis processing means 61 uses, as an internal variable, a value obtained by subtracting the average of the number of times the keyboard delete key is pressed in the analysis result of (a) from the average number of times the keyboard delete key is pressed in the analysis result of (b). Is stored in the storage area of “Keyboard Delete Key Depression Difference” (S5).

  Next, the tension state analysis processing means 61 calculates the degree of tension from the internal variable. First, (c): “Mouse cursor movement speed difference” is mapped to a range of 50 to 100 with 0 pixel / second being 50 and 20 pixel / second being 100. Next, (d): “Mouse invalid click difference” is mapped to a range of 50 to 100 with 0 being 50 and 5 being 100. Next, (e): “keyboard keystroke difference” is mapped to a range of 50 to 100 with 0 being 50 and 10 being 100. Next, (f): “Keyboard Delete Key Depression Difference” is mapped to a range of 50 to 100 with −20 times being 50 and +20 times being 100. Finally, the average of (c) to (f) is obtained, and the obtained value is set as the degree of tension (%) (S6). Here, it is not calculated when the degree of tension (%) is less than 50 (%). The reason for this is that when the degree of tension (%) is high, an operation close to a relaxed state may be performed for caution, and it may be impossible to distinguish from the relaxed state.

  The operation of the erroneous operation prevention measure determination processing unit 91 is the same as that of the first embodiment, and a description thereof will be omitted.

  According to the second embodiment, the operator is presented with an erroneous operation prevention measure corresponding to the tension state of the operator by analyzing the tension degree of the operator from the characteristic information in the operation of the input device operated by the operator. Therefore, it is possible to prompt reconfirmation before the operation and to take appropriate erroneous operation prevention measures according to the psychological state of the operator.

Embodiment 3 FIG.
FIG. 7 is a block diagram showing the configuration of the third embodiment of the computer system for plant monitoring control according to the present invention.

  The plant supervisory control computer system collects plant equipment data at 1 second intervals. As shown in FIG. 7, in the third embodiment, plant failure device data 52a that stores the failure state of the failed plant device from the collected plant equipment data, and the failure state of the failed plant device A storage device 52 having an operation end used for recovery processing and a failure location related operation end database (DB) 52b in which tension (0 to 100%) at the time of operation of the operation end is associated in advance is provided. For example, the operation end for closing the inlet valve and turning on the disconnecting device is registered as a recovery operation for the failure of the turbine in the hydropower generation. Since closing the inlet valve is a relatively safe operation, the degree of tension is 30%. Since entering the disconnect switch may lead to a serious accident, the tension should be 80%.

  Also, a tension state analysis processing means 62 for determining the degree of tension from the plant failure device data 52a and the failure location related operation terminal DB 52b, and a tension degree storage memory for temporarily storing the degree of tension analyzed by the tension state analysis processing means 62. 72, an erroneous operation prevention measure database (DB) 82 having the same functions as those of the first embodiment, an erroneous operation prevention measure determination processing means 92, and a CRT device 10 are provided.

  FIG. 8 is a flowchart showing the operation of the plant monitoring control computer system shown in FIG. The operation of the plant monitoring control computer system according to the third embodiment will be described below with reference to FIG.

  First, the tension state analysis processing means 62 extracts, from the plant failure device data 52a, the failure state of the currently occurring failure plant device when the control command button displayed on the CRT device 10 is pressed by the operator's input device. (S1, S2).

  Next, the tension state analysis processing means 62 refers to the failure location related operation end DB 52b using the extracted failure state of the currently occurring failure plant device as a key (S3), and the operation end that is currently operated is recovered. (S4), if it is used for the recovery process (Yes), the related tension is adopted (S6), and if the operation end is not used for the recovery process (No), the degree of tension is 50% (normal) (S5).

  The operation of the erroneous operation prevention measure determination processing unit 92 is the same as that in the first embodiment, and a description thereof will be omitted.

  According to the third embodiment, the degree of tension in the operation can be presented to the operator by associating the degree of tension in the failure recovery process with the operation end and registering it in the failure location-related operation end DB 52b. Therefore, it is possible to prompt reconfirmation before the operation, and to take appropriate measures for preventing the erroneous operation according to the psychological state of the operator.

  In the first to third embodiments, the operator's voice, the operation of the input means, and the characteristic information of the operation end at the time of the failure are shown as examples of tension extraction, but the working hours, that is, morning, noon By utilizing the fact that the degree of tension is different between after lunch and before the end of work, various characteristic information can be targeted for tension extraction, such as characteristic information for working hours being targeted for tension degree extraction.

  The computer system for plant monitoring control according to the present invention can be effectively used for a plant monitoring control device for monitoring and controlling plant equipment such as a water purification plant.

1 voice input device, 2 real voice input time judging means, 3 real voice data extracting means,
10 CRT device, 10a keyboard / mouse, 40 real voice data storage memory,
50, 51, 52 storage device, 50a operation end name template,
50b Frequency template, 51a Keyboard / mouse operation history buffer,
52a Plant failure device data, 52b Failure location operation end DB,
60, 61, 62 Tension state analysis processing means, 70, 71, 72 Tension degree storage memory,
80, 81, 82 Incorrect operation prevention measure DB, 90, 91, 92 Incorrect operation prevention measure determination processing means.

Claims (9)

In a plant monitoring and control computer system for the purpose of controlling plant equipment and collecting data,
Tension state analysis processing means for outputting the tension degree of the operator;
The erroneous operation prevention measure database storing the erroneous operation prevention measures according to the operator's tension level,
An erroneous operation prevention measure determination processing means for determining an erroneous operation prevention measure to be actually implemented from the degree of tension output by the tension state analysis processing means and the erroneous operation prevention measure of the erroneous operation prevention measure database,
A computer system for plant monitoring control comprising a display device for displaying an erroneous operation prevention measure determined by the erroneous operation prevention measure determination processing means. In the erroneous operation prevention measure database, as the erroneous operation preventive measure, a warning message for informing the operator that the tension is in a tension state when the tension is 80 to 100%, and the tension is 0 to 20%. The plant monitoring control computer system according to claim 1, wherein a warning message for notifying the operator that the vehicle is in a relaxed state is registered. A voice input device that starts an operation in response to a control command from the operator's input device, calls the operator a predetermined word, and collects a real voice at the time of the call,
The time from the start of the operation to the end of the collection of the real voice is determined. When the determined time exceeds a predetermined time, the control command is discarded, and when the determined time is within the predetermined time, the control command is A voice input time determination means to be continued,
Data extraction means for extracting feature information about the real voice from the real voice of the operator collected by the voice input device when the control command is continued;
A storage device that pre-registers characteristic information related to the real voice of the operator is provided,
The tension state analysis processing means compares the operator characteristic information obtained by the data extraction means with the normal characteristic information of the operator registered in the storage device to determine the tension degree of the operator. The computer system for plant monitoring control according to claim 1, wherein the computer system is analyzed and calculated. 4. The plant supervisory control computer system according to claim 3, wherein, as the feature information relating to the real voice, an utterance error of the word at the time of the designation, an utterance time, and a frequency of the real voice at the time of utterance are used. The tension state analysis processing means is configured such that the difference between the utterance time in the normal time and the utterance time extracted by the data extraction means is (a): 0 in the case of −1 second and 100 in the case of +0.5 second. The range of 0 to 100 is mapped, and the difference between the utterance frequency in the normal time and the frequency of the real voice extracted by the data extraction means is (b): 0 when +200 Hz, and 100 when -200 Hz. Mapping to the range from 0 to 100, (f): 0.0 to 1.0 when the utterance error is not, and 1.0 to 1.0 when the utterance error is a completely different utterance Then, an average value (c) of the above (a) and (b) is obtained, and when the average value (c) is less than 50, a value (d) obtained by multiplying the above (f) by −30 to the above (c) ), (D) + (c) is the tension (% When the average value (c) is 50 or more, a value obtained by adding (c) to the value (e) obtained by multiplying the above (f) by +30, and (e) + (c) as the tension (% 5), and 0 (%) when the obtained tension (%) is negative, and 100 (%) when the obtained tension (%) exceeds 100. Computer system for plant monitoring and control. Operation data extraction means for extracting feature information in the operation of the input device by the operator, triggered by a control command by the operator input device,
The storage device stores the feature information extracted by the operation data extraction unit, and stores the feature information in the operation of the input device in a normal time of the operator.
The tension state analysis processing means compares the operator characteristic information obtained by the operation data extraction means with the normal characteristic information of the operator registered in the storage device, and compares the operator's normality information. The computer system for plant monitoring control according to claim 1 or 2, characterized in that 7. The plant monitoring control device according to claim 6, wherein as the feature information in the operation of the input device, the moving speed of the cursor and the number of invalid clicks in the mouse operation, the number of keystrokes in the keyboard operation and the number of times the delete key is pressed are used. Computer system. The tension state analysis processing means is 50, 20 pixels / second when the difference between the movement speed of the cursor in the normal time and the movement speed of the cursor extracted by the data extraction means is (a): 0 pixel / second. A case where the difference between the number of invalid clicks in the normal time and the number of invalid clicks extracted by the operation data extracting means is (b): 0 times is mapped to a range of 50 to 100 with the case of seconds as 100. 50: When the number of keystrokes is mapped to a range of 50 to 100 with 100 as the case, and the difference between the number of keystrokes in the normal time and the number of keystrokes extracted by the data extraction means is (c): 0 times Is mapped to a range of 50 to 100 where 100 is the case of 10 times, and the number of times the delete key is pressed in the normal time and the data extraction means The difference between the extracted number of times the delete key is pressed is (d): mapping to 50 to 100 range where 50 is the case of 0 and 100 is the case of 20 times, and the above (a) to (d The computer system for plant monitoring control according to claim 7, wherein an average value of) is defined as a degree of tension (%). Plant failure device data for storing the failure state of the failed plant device from the collected plant equipment data, an operation end used for failure recovery processing with respect to the failure state of the failed plant device, and the operation end in advance A storage device having a failure location related operation end database associated with the degree of tension during the operation of
The tension state analysis processing means extracts a failure state of the failed plant apparatus currently occurring from the plant failure apparatus data, triggered by a control command from the operator's input device, and uses the failure state as a key for the failure. Referring to the location-related operation end database, it is determined whether the operation end that is currently being operated may be used for the recovery process. If the operation end is used for the recovery process, the associated tension is used. The plant monitoring control computer system according to claim 1, wherein, in the case of an operation end that is not used for the recovery process, the degree of tension is normal.

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