JP2547837B2 - Plant monitoring equipment - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION Object of the Invention (Field of Industrial Application) The present invention relates to a plant monitoring device for safely operating a power plant.

(Prior Art) Abnormality monitoring of a plant is one of important monitoring means for safely operating the plant, and is considered so as to improve the reliability of the monitoring method itself. In other words, for monitoring the monitored plant consisting of various devices and control devices, directly monitor each device and control device individually,
Abnormalities detected by individual monitoring are further summarized for each monitoring unit and output to the alarm reporting device. That is, when the alarm is notified to the alarm reporting device, the supervisor investigates the cause of the abnormality and takes measures to safely operate the plant.

In addition, a plant monitoring device that utilizes a highly advanced computer technology has been installed recently, and the process amount is input from the monitored plant, and when various plant data occur, various plant data for investigating the cause of the abnormality are collected. It will be supplied to the observer.

In other words, if the supervisor recognizes a plant abnormality in the alarm reporting device, he or she grasps the situation of the plant via various monitoring instruments and plant monitoring devices, investigates the factors, and then takes appropriate action according to the processing manual etc. The information in the plant monitoring device was requested and provided by the supervisor only when the supervisor needed to grasp the situation of the plant.

(Problems to be Solved by the Invention) According to the related art, an abnormality is notified to the alarm reporting device,
When the observer recognizes what the abnormality is, he or she first recognizes the state of the plant using a plant monitoring device, etc., and identifies the cause of the abnormality based on the procedure manual or the knowledge and experience of the experienced observer and takes action. .

In addition, plant control equipment has also been upgraded with the development of electronic computer technology, and it has become more sophisticated by incorporating the experience and knowledge of this skilled observer, and it is said that the occurrence of plant abnormalities has been suppressed more than ever before. Has become.

However, it is impossible to eliminate all abnormalities in the plant, and it is necessary for humans to make judgments and take measures against the abnormality. However, while the plant itself became large-scale advanced and the monitoring items increased along with this, the sophistication of control devices and the like further increased control performance and the occurrence of abnormalities, so an abnormality occurred. At the same time, a problem arises in that the observer can grasp the situation sufficiently and take prompt and appropriate measures.

That is, in the prior art, the process amount for detecting the abnormality of the plant and grasping the condition of the plant is supplied to the supervisor. However, there is no special relation between the two, and what is monitored and what should be dealt with. As before, it was all due to the experience and knowledge of the observer and the procedure manual.

Further, as disclosed in Japanese Patent Laid-Open No. 55-41533, a device has been proposed which displays a treatment procedure on a CRT when an abnormality occurs, but the operator is informed of the relationship between the displayed treatment procedure and the abnormality. Not provided, the operator had to work to confirm the facts. In other words, the operator would call up each process amount for confirmation, which was not a realistic device.

An object of the present invention is to obtain a device that can provide information requested by an operator in accordance with the operator's natural feeling.

[Structure of Invention]

(Means for Solving the Problem) In order to achieve the above-mentioned object, the present invention compares monitoring data of a plant with a reference value to determine normality / abnormality, and in the case of abnormality, gives an alarm for each monitoring unit. An alarm reporting means for displaying an alarm through a window, a means for displaying the data directly causing the abnormality together with a reference value, a means for displaying the data for estimating the cause of the alarm together with the reference value,
And a plant monitoring judgment means having means for developing a display of a treatment guidance message associated with the data for estimating the cause, and a plant monitoring device.

(Operation) As a result, the computer technology that has occurred at a high level should be applied to the series of operations from the occurrence of an abnormality in the plant to the action taken by the supervisor, and when an abnormality occurs, it should be monitored in association with this abnormality. Information on the process amount and the cause, as well as a guide for treatment, will be provided to the observer.

(Embodiment) An embodiment of the present invention will be described below with reference to FIGS. 1 to 10.

FIG. 1 is a block diagram of an embodiment of the plant monitoring apparatus of the present invention. 1 is the plant to be monitored,
Reference numeral 2 is an alarm reporting device, 3 is a monitoring device, 4 is an input device, 5 is an abnormality occurrence detecting device, 6 is a display update judging means, 7 is a plant state judging means, 8 is a plant monitoring item storage device, and 9 is a predictive warning judgment. Means, 10 is an alarm level determination means, 11 is a display data storage device, 12 is a display device, 13 is a plant data information storage device, 14 is a plant monitoring determination means, 15 is a control device,
16 is a plant monitoring board.

The alarm reporting device 2 inputs the abnormality signal detected by the monitoring device 3 and notifies the observer of the occurrence of the abnormality. The monitoring device 3 exists in the monitoring unit of the equipment constituting the plant 1 and the control device 15, and constantly monitors whether an abnormality has occurred by inputting the process amount of the monitored plant 1 and the control amount of the control device.
An abnormal signal is generated when an abnormality is found. The input device 4 inputs various process amounts of the plant 1 and an abnormal signal of the monitoring device 3 into the plant monitoring board 16. The abnormality occurrence detection device 5 inputs the abnormality signal of the monitoring device 3 via the input device 4 and inputs the abnormality occurrence into the plant monitoring board 16.

The display update judging means 6 is means for receiving display start / end requests from the plant monitoring judging means 14 to read display data from the display data storage device 11 and judge display of the monitor data on the display 12. Plant status determination means 7
Inputs the process amount of the plant via the input device 4 and stores and updates it in the plant data information storage device 13. In addition, the plant tendency state is obtained through the predictive warning determination means 9 and the warning level determination means 10, and the plant data information storage device 13
To update the memory.

When a plant abnormality is notified to the alarm reporting device 2, the plant monitoring item storage device 8 is a process point of the plant 1 to be monitored for each abnormality and a monitoring reference value thereof, as well as a cause message and action guide for investigating the cause. Systematically classify and store messages. The predictive warning determination means 9 compares the monitoring reference value provided for the process input value of the plant 1 with
It is judged whether it is in the normal range, and when it is in the normal range, it is sought whether the process input value may exceed the monitoring reference value in the near future. It is a means to generate predictive alerts when there is a possibility of reaching. The alarm level determination means 10 determines whether or not the monitoring reference value provided for the process input value of the plant 1 is in the normal range, and when it is in the abnormal range, how much deviation occurs from the monitoring reference value. Is a means for obtaining an alarm state indicating whether the process input value is currently in the worsening direction or in the improving direction with respect to the monitoring reference value. The display data storage device 11 stores the display data to be displayed on the display device 12 via the display update determination means 6.

When an abnormality occurs in the plant 1, the display 12 notifies the occurrence of the abnormality and displays process data to be monitored, and an alarm guidance message including a factor guidance message and a treatment guidance message. The plant data information storage device 13 stores and updates the process amount, the forecast alarm, and the alarm state input by the plant state determination means 7. The plant monitoring judgment means 14 inputs the abnormality signal from the abnormality occurrence detection means 5, selects a monitoring item from the plant monitoring item storage device 8 according to the abnormality signal, and determines the state quantity of the plant from the plant information storage device 13 according to this monitoring item. Then, the warning guidance message is displayed on the display 12 via the display update judging means 6.

Next, FIG. 2 shows the alarm reporting device 2 in more detail. The alarm reporting device has a location (hereinafter referred to as a window) to be notified according to the occurrence of an abnormality. For example, when the temperature of the main steam becomes abnormally high, the abnormality is notified by notifying the window indicated by A-01. And you can know the details of the abnormality.

FIG. 3 shows the monitoring device 3 for notifying the alarm reporting device 2 of the occurrence of an abnormality and its relation. The monitoring device 3 inputs process data necessary for abnormality detection from the plant 1, compares the process data with a reference value for abnormality monitoring, and indicates when an abnormality is recognized with respect to the reference value, that is, in an analog amount. For the process input to be performed, when the process value deviates from the normal range indicated by the reference value, and for the digital value represented by two values, the specified value on the normal side is defined. When the value disappears, it is determined that an abnormality has occurred, and the alarm reporting device 2 and the plant monitoring board 16 are notified of the occurrence of the abnormality.

When the plant monitoring board 16 receives the notification of the abnormality occurrence, it identifies which window of the alarm reporting device 2 the abnormality was notified of, and reads out the monitoring item corresponding to the window from the plant monitoring item storage device 8, The monitoring data is created according to the monitoring item, and the monitoring data is displayed on the display unit 12.

FIG. 4 shows an example of data displayed on the display 12. Display data is roughly classified into two types. A is monitoring data composed of information for confirming various process states for grasping the situation of the plant and estimating the cause when an abnormality occurs.

That is, a is mainly plant monitoring data that represents the location of the abnormality, the content of the abnormality, and the process amount that best represents the current state of the plant. b is the process amount and its state necessary for estimating or specifying the cause of this abnormality, that is, the process amount on the plant data information storage device 13 stored and updated by the plant state judging means 7, a prediction alarm,
It is the monitoring data for factor estimation which displays an alarm state. c is a factor index indicating a factor estimated from the factor estimation monitoring data b.

Reference numeral B is a factor and a treatment guide message for displaying guidance on the factor and the treatment when the factor can be estimated from the monitoring data A. The factor / procedure guide message B corresponds to each factor of the factor index c, and can be easily displayed from the factor index when the factor can be estimated. Further, the factor / treatment guide message B is composed of a factor guidance message B-a and a treatment guidance message Bb, the factor guidance message is used to know what is the cause of the abnormality, and the action guidance message is used to treat the abnormality. Can be confirmed.

FIG. 5 shows the process amount, the predicted alarm, and the alarm state displayed in the factor estimation monitoring data b.
FIG. 6 shows the processing means of the alarm level judgment means 10 for obtaining the alarm state. FIG. 7 shows the processing means of the predictive warning determination means 9 for obtaining a predictive warning.
Hereinafter, FIGS. 5, 6, and 7 will be described.

The process status can be divided into normal areas with the alarm limit value ALM as the boundary. FIG. 5 shows an example of this relationship when the upper limit is the alarm range and the lower limit is the normal range with the alarm limit value ALM as the boundary. That is, after the process input value υ changes with the passage of time Time and reaches the alarm generation point B that exceeds the alarm limit value ALM, it is assumed that this process input value is in the alarm range, and as shown in the processing procedure of FIG. The alarm level and the changing direction (deterioration direction, improvement direction) are obtained. Here, the alarm level L _t is the alarm limit value of the process input value υ in the alarm range.
Deviation from ALM is fixed interval (ΔDB) from alarm limit value ALM
The digital quantity (0,1,2, ...) is used to determine which of the areas (level-0, level-1, level-2, level-3, ...)
3 ...). Focusing on this change in the alarm level, when the alarm level changes and exceeds the alarm limit value ALM and the deviation becomes large, the direction of deterioration and the direction of deterioration become small. Is the direction of improvement. When the process input value becomes equal to or less than the alarm limit value ALM, this alarm level judgment processing ends. In FIG. 5, this end point is set as a point one level below the alarm limit value ALM, that is, a normal return point C. Alarm point B
The reason why the normal recovery point C and the normal recovery point C are not the same value and have a width is that a certain dead zone is provided, and it may be set to an appropriate value in accordance with the characteristics of the process input.

In the normal range, the predictive alarm determination means 9 performs predictive alarm processing.

The predictive alarm is to observe whether a normal process input value may be in an alarm state in the near future and, if there is a possibility, generate an alarm as a predictive alarm.

FIG. 7 shows a processing procedure of the predictive warning judgment means 9. In FIG. 7, the change rate ROC of the process input value is obtained from the current value V _t and the past value V _t-1 of the process input value υ. Rate of change R
OC has the following formula, for example.

Next, the time ΔT ′ until the alarm limit value ALM is exceeded when the process state changes at this rate of change ROC is obtained.

 The time ΔT ′ is, for example, as in the following formula.

When this ΔT ′ is within the predicted warning time ΔT, that is, when it is predicted that the warning will be reached within the time ΔT,
This process input is put in the state of predictive alarm.

FIG. 8, FIG. 9 and FIG. 10 are examples of the warning guidance message displayed on the display 12.

When an abnormality is announced in the window indicated by A-02 on the alarm reporting device 2 in FIG. 2, it is displayed on the display device as large vibration / large vibration abnormality. FIG. 8 shows the grasp of the situation of the plant in the warning guidance message. That is,
Ten process input values from turbine 1st bearing vibration to generator 10th bearing, which are the direct causes of abnormalities, and turbine speed, generator output, and exhaust that indicate the current plant operating conditions It is designed to display three process input values for the degree of vacuum in the room. If there is a limit value to be monitored for each current process input value in the current value column,
Display the limit values in the upper limit and lower limit columns. The cause is the alarm state obtained by the predictive alarm determining means and the alarm level determining means (WRS3 indicates an alarm level of 3 in the worsening direction, BTR2 indicates an alarm level of 2 in the improving direction, and Prc-ALM indicates the predictive alarm state). Is displayed. FIG. 9 displays the process input for estimating the cause of the alarm generation. In other words, various process input values that are helpful in estimating the cause are displayed, and then there are several causes that can be identified to some extent. If each can be identified to some extent, the index (A, B,…) is added to the cause column. There is. Figure 10 shows the cause and processing guide message. First
FIG. 10 illustrates general matters of occurrence of anomaly, causes and countermeasures for each factor index when the cause can be identified.

In this way, since the details of the abnormality are automatically displayed at the same time as the occurrence of the abnormality, the countermeasures that have been manually performed until now are not only performed promptly, but also provide accurate information for the abnormalities that rarely occur. It is now possible to provide.

When an error occurs, by displaying not only the error point but also other process quantities and their alarm levels and predictive alarms, not only the cause of this time's error occurrence is estimated but also a secondary error occurs. Alarms that may occur can also be monitored before they occur. In the above embodiment, the cause is estimated by comparing the current state of each process input value, but the probability of estimation can be further increased by using the data at the time of the past abnormality occurrence. Further, the factor index can also be made variable, and can be estimated and displayed by fully understanding the characteristics of the plant according to past performance and the state of each plant.

Since the occurrence of an abnormality is stored, it can be displayed not only by automatic display, but also by interactive operation when required by the operator.

〔The invention's effect〕

According to the present invention, "means for displaying the data directly causing the abnormality together with the reference value" and "means for displaying the data for estimating the cause of the alarm occurrence together with the reference value".
And "means for developing the display of the treatment guidance message associated with the data for estimating the cause" are associated and provided, so that the information requested by the operator can be provided to the operator. It can be provided in line with the natural feeling.

That is, since the data that directly causes the abnormality is displayed together with the reference value, the operator can grasp the direct cause of the alarm window, and the data for estimating the cause of the alarm occurrence is displayed together with the reference value. Even if the process amount for estimating the cause is not known, the cause of the abnormality can be understood at a glance.

Further, since the treatment guidance message can be expanded, an inexperienced operator can take immediate action, and only necessary information can be displayed without expanding this display, which is unnecessary information for a skilled operator. Can be provided.

As described above, according to the present invention, since the data of the direct cause of the alarm occurrence, the data for estimating the cause, the treatment guidance message, and the so-called three-stage logic information are developed, the information is in the most natural format for the operator. Can be provided.

[Brief description of drawings]

FIG. 1 is a block diagram of an embodiment of the present invention, FIG. 2 is an explanatory diagram of an alarm reporting device, FIG. 3 is a block diagram of an abnormality detecting device, and FIG. 4 is an alarm guidance screen displayed by a plant monitoring device. System diagram of Figure 5, Figure 5 is a related diagram of warning and predictive warning,
FIG. 6 is a processing procedure diagram of the warning level determination means, FIG. 7 is a processing procedure diagram of the predictive warning determination means, FIG. 8, FIG. 9 and FIG.
FIG. 10 is an explanatory diagram of the warning guidance message. 1 ... Plant, 2 ... Alarm reporting device 3 ... Monitoring device, 4 ... Input device 5 ... Abnormality detection device, 6 ... Display update determination means 7 ... Plant state determination means 8 ... Plant monitoring items Storage device 9 ... Predictive alarm determination means, 10 ... Alarm level determination means 11 ... Display data storage device, 12 ... Display device 13 ... Plant data information storage device 14 ... Plant monitoring determination means, 15 ... Control Device 16 ... Plant monitoring panel

Claims (1)

(57) [Claims] 1. A monitoring means for comparing the plant data with a reference value to determine whether it is normal or abnormal, an alarm reporting means for displaying an alarm through an alarm window for each monitoring unit in the case of an abnormality, and a direct cause of the abnormality. Means for displaying the data with the reference value, means for displaying the data for estimating the cause of the alarm occurrence together with the reference value, and display of a treatment guidance message associated with the data for estimating the cause And a plant monitoring determination means including means for expanding the plant monitoring equipment.