JPH06137909A - Supervisory system for plant - Google Patents

Abstract

PURPOSE:To allow user to easyly grasp plant conditions even when a large number of alarms are generated by managing the knowledge for deciding whether each plant function is normal or not at each node of function hierarchy model where functional configulation of plant is arranged hieratically. CONSTITUTION:A plant function evaluating section 2 evaluates each function of a plant 1 through the use of process data taken in from the plant 1 and a functional hierarchy model stored in a memory 5. An information edditing section 3 eddits information to be presented for an operator basing on evaluation results obtained from the plant function evaluating section 2. In concrete terms, the plant function evaluating section 2 eddits information notifying occurrence of abnormality in some plant function. An information presenting section 4 presents abnormality information of plant function eddited at the information edditing section 3 for an operator and constituted of a display, e.g. a CRT or a large screen display, or a sound unit.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for presenting information for grasping a plant state to a plant operator, and in particular, when an abnormality occurs in the plant, necessary and sufficient information regarding the plant abnormality. The present invention relates to a device for appropriately presenting.

[0002]

2. Description of the Related Art Currently, computer systems are used to operate, monitor and control large-scale plants. In such a system, an alarm generated in the plant is displayed on an alarm panel installed on the upper part of the control panel or a CRT installed on the control panel, and the operator uses the information to grasp the plant state. . However, in the case of an abnormality in which a large number of alarms are generated, it is necessary to accurately grasp the plant state from the large number of alarms, which increases the burden on the operator. As a technique to reduce the burden on the operator when such an abnormality occurs,
For example, there is an alarm processing device described in JP-A-3-230296.

[0003]

In the above-mentioned prior art, the alarms generated in the plant are grouped in advance in consideration of the function and system of the plant, and which group the alarm actually generated belongs to. Whether or not it is analyzed, and alerts are presented in a form organized by group. This is one of the important techniques for reducing the burden on the operator because the generated alarms can be organized and presented to the operator. However, in the case of a large-scale plant such as a nuclear power plant, since more than 2,000 items are provided as alarms in advance, even if grouping is performed considering the function and system of the plant, one group Many alarms are assigned to a group, and a group including 10 or more alarm items may occur. Therefore, there is a problem in that many alarm items may be displayed at one time even if the alarms are presented by grouping them.

An object of the present invention is to provide a plant monitoring device that presents the minimum necessary information so that the plant state can be easily grasped even in the situation where a large number of alarms are generated.

[0005]

In order to achieve the above object, the present invention determines whether each plant function is normal or abnormal at each node of a functional hierarchy model in which the functional configuration of a plant is hierarchically organized. To manage the knowledge for each node, evaluate the state of the plant function on a node-by-node basis, and when an abnormality is detected, group the nodes based on the presence or absence of a hierarchical relationship between the nodes determined to be abnormal, and Only the abnormal information is presented, and further, when requested by the operator, detailed information such as the reason why the abnormality is determined is presented.

[0006]

In the functional hierarchy model in which the functional configuration of the plant is hierarchically organized, the upper hierarchy nodes are functions that have an important influence on the plant operation, and the lower hierarchy nodes are related to individual equipment. This is because the abnormality of the lower node spreads,
It can also be seen as a summary of the situation in which an event in which an upper node malfunctions occurs. Therefore, when an abnormality occurs in the plant, by presenting first the abnormality information of the node located higher than the nodes determined to be abnormal, the operator can get a better overview of the current plant state. It can be easily grasped.

[0007]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram of an embodiment of the plant monitoring apparatus of the present invention. The plant function evaluation unit 2 evaluates whether each function of the plant is normal or abnormal by using the process data acquired from the plant 1 and the function hierarchy model stored in the storage device 5. The information editing unit 3 edits the information presented to the operator based on the evaluation result of the plant function evaluation unit 2. Specifically, the plant function evaluation unit 2
If any abnormality is detected in the plant function, the information that the abnormality occurs in the plant function is edited. The information presenting unit 4 is a device that presents the operator with abnormality information of the plant function edited by the information editing unit 3, and is configured by a display device such as a CRT or a large screen display, a voice output device, or the like.

FIG. 2 is an explanatory diagram of a functional hierarchy model stored in the storage device 5. In this example, the top layer is the operation purpose of the plant such as cold shutdown, and the lower layers are the necessary functions, systems, and equipments to achieve it.
Functions required for plant operation are organized hierarchically. This functional hierarchy model may be constructed in such a manner that several types are created according to the plant operation target and the operation mode, and selected and used according to the situation.

FIG. 3 is an explanatory diagram of knowledge managed by each node of the functional hierarchy model shown in FIG. Each node includes knowledge for evaluating the state of the plant function represented by each node, in addition to the information about the node name, hierarchy level, upper node, and lower node. The plant function evaluation knowledge is the evaluation knowledge based on the process data,
It consists of evaluation knowledge based on the states of nodes located lower than the node, evaluation knowledge based on the activation conditions of the device, and the like. The evaluation knowledge based on the process data is the knowledge to judge whether the plant function is normal or abnormal depending on whether the process data such as temperature and pressure deviates from a predetermined limit value. The evaluation knowledge based on the state of the subordinate node is to judge whether the plant function represented by the node is normal or abnormal based on the evaluation result of whether the plant function of the node located under the node is normal or abnormal. ,
The knowledge is that when all the lower nodes are determined to be abnormal, the nodes are also determined to be abnormal. Of course, even if all the lower nodes are not determined to be abnormal, if a specific lower node indicates an abnormality, the node may be determined to be abnormal. The evaluation knowledge based on the start condition of the equipment is for determining that the plant function is abnormal when the equipment activated only when the plant is abnormal.

FIG. 4 is a processing flowchart of the plant function evaluation section. First, in step 100, a node for evaluating a plant function is recognized. There are the following methods for setting the evaluation target node.

(1) All nodes included in the functional hierarchy model are evaluated.

(2) While the plant is in a normal state, the nodes in the lowest layer are evaluated, and after any abnormality is detected, the nodes in the lowest layer and the nodes positioned higher than the node determined to be abnormal. Is to be evaluated.

(3) A plurality of specific nodes are evaluated beforehand.

The selection of these methods is set in advance at the time of designing the apparatus, but may be designed so that the operator can change and specify it while the apparatus is operating. In step 101, it is checked whether all the evaluation target nodes have been evaluated, and if all nodes have been evaluated, this processing ends. In step 102, one evaluation target node is selected. In step 103, all the plant function evaluation knowledge of the evaluation target node is evaluated to check whether the plant function is normal or abnormal. In step 104, it is checked whether the evaluation result is normal. If normal, step 10
Return to 1 and check the next evaluation target node. If it is determined that the plant function is abnormal, the node is registered in the abnormal node group in step 105. The abnormal node group is a node that stores, among the evaluation target nodes, the nodes that are determined to have abnormal plant functions. The process flow chart of FIG. 4 ends when all the nodes to be evaluated are evaluated once, but in reality, the process of FIG. 4 is periodically activated and control is performed to constantly check the plant function. ing.

FIG. 5 is a processing flowchart of the information editing unit. In step 110, the nodes registered in the abnormal node group in the process of FIG. In step 111, the highest node among the grouped nodes is extracted for each group. In step 112, the information indicating that the plant function related to the extracted node is abnormal is edited.

FIG. 6 is an explanatory diagram schematically showing the contents of grouping of abnormal nodes in FIG. For example, in the plant function evaluation unit, nodes 10, 11, 12, 13,
When it is determined that 20 and 21 are abnormal, in step 110, the nodes 10, 11, 12 and 13 and the nodes 20 and 21 are
The abnormal node is divided into two groups. Step 111
Then, the highest node among the node groups of each group, in the case of FIG. 6, the node 10 and the node 20 are extracted.

FIG. 7 is a display example when the information presenting unit is a display device. A window 30 for presenting abnormality information relating to plant functions is created in the currently displayed screen (system diagram in the case of FIG. 7), and a message such as "abnormality of water supply system" is displayed. As shown in FIG. 6, when there are two abnormal node groups, two messages, “(function of node 10) abnormality occurrence” and “(function of node 20) abnormality occurrence” are presented. In the part in parentheses, the node names of the nodes 10 and 20 are extracted from the functional hierarchy model and displayed. The window 30 is displayed only when any abnormality is detected by the plant function evaluation unit, and is not normally displayed.

Although FIG. 7 shows the case where the information presenting unit is a display device, a voice output device may be used as the information presenting unit. In the case of the voice output device, it is possible to appropriately notify the occurrence of abnormality even when the operator is not looking at the display device. One of the important points is to present the operator with simple information that accurately expresses the details of the plant function abnormality.

Next, another embodiment of the present invention will be described. FIG. 8 shows an example of the structure of knowledge managed by the nodes of the functional hierarchy model in another embodiment. In addition to the knowledge managed by the node shown in FIG. 3, knowledge about abnormality cause identification and knowledge about operation methods are added. The abnormality cause identification knowledge is diagnostic knowledge for identifying the cause of the abnormality when the plant function indicated by the node is abnormal. Specifically, the cause identification knowledge based on the process data that identifies the cause of the abnormality by investigating the relationship of multiple process data and some operation of equipment etc. is performed, and the plant state as a result is analyzed, and the abnormality is detected. It consists of cause identification knowledge that requires confirmation operation to identify the cause. The knowledge about the operating method is the knowledge about the corresponding operation procedure when the plant function indicated by the node is abnormal. Knowledge about the operation method according to the abnormality content of the plant function indicated by each node is prepared, and selected and presented according to the abnormality content.

FIG. 9 is an example of a display screen. In addition to the window 30 that presents abnormal information about plant functions,
The selection menu 31 is displayed. The operator can obtain detailed information by selecting a menu item. When the menu item "reason" is selected, the reason for determining an abnormal state will be described in detail. When the menu item “Diagnosis” is selected, the identification result of the cause of abnormality and various operation requests for investigating the cause are presented. When the menu item "Forecast" is selected,
Present the forecast of anomalies. When the menu item "Driving guide" is selected, guidance is provided on how to respond to abnormalities.

FIG. 10 is a processing flowchart when the menu is selected. In step 120, the selection menu item is displayed. In step 121, a menu selection request from an operator is accepted. When the operator selects "reason", the reason why the abnormality is determined is explained using the plant function evaluation knowledge used when the plant function is determined to be abnormal in steps 122 and 123. If the operator selects "diagnosis", steps 124, 12
In step 5, the plant diagnosis function is activated, the abnormality cause identification knowledge of the node is referred to, and the abnormality cause is investigated. If the operator selects “prediction”, steps 126 and 127
In, the node located above the node is extracted, and the information on the node is used to predict the abnormal spread. If the operator selects the "driving guide," step 12
8, 129, the corresponding operation method is guided using the knowledge about the operation method of the node.

As another embodiment, there is one that presents plant abnormality information and also presents information regarding plant functions that need to be carefully monitored in the future.
To do so, we estimate the plant functions that may have anomalies by using a functional hierarchy model. FIG. 11 is a diagram briefly explaining extraction of nodes that need to be carefully monitored. For example, when the nodes 11, 12, 13, and 14 indicate an abnormality in the functional hierarchy model, nodes that are located above the respective nodes and need to be monitored for nodes 15 and 15 that have not yet been determined to be in an abnormal state. To extract. This is because it can be regarded as a summary of knowledge about abnormal propagation, in which abnormalities in plant functions in lower layers spread to abnormalities in plant functions in upper layers.

In the above embodiment, as the plant function evaluation knowledge managed by the function hierarchy model, the evaluation knowledge based on the process data, the evaluation knowledge based on the state of the lower node, and the evaluation knowledge based on the starting condition of the equipment are used. Such plant function evaluation knowledge may be evaluation knowledge with confidence about abnormality or plant evaluation knowledge with influence on plant operation. As a result, instead of determining whether the plant function is normal or abnormal on / off, the degree of abnormality of the plant function is evaluated and presented with a certainty factor to assist the operator in determining the plant state. It becomes auxiliary information. Further, by presenting the degree of influence on the plant operation in consideration of the necessity of emergency operation, the information becomes auxiliary information for the operator to decide the corresponding operation, and it is possible to assist the operator's judgment.

[0025]

According to the present invention, when an abnormality occurs in the plant, the minimum necessary information for grasping the plant state can be presented, and the detailed information of the abnormality can be presented in response to the operator's request. Therefore, the plant state can be easily grasped and the burden on the operator can be reduced.

[Brief description of drawings]

FIG. 1 is a block diagram of a plant monitoring device of the present invention.

FIG. 2 is an explanatory diagram showing an example of a functional hierarchy model.

FIG. 3 is an explanatory diagram of an example of knowledge managed by each node of the functional hierarchy model.

FIG. 4 is a processing flowchart of a plant function evaluation unit.

FIG. 5 is a processing flowchart of an information editing unit.

FIG. 6 is an explanatory diagram of an example of grouping abnormal nodes in a functional hierarchy model.

FIG. 7 is an explanatory diagram of an output example of abnormality information of the plant monitoring apparatus of the present invention.

FIG. 8 is an explanatory diagram of an example of knowledge managed by each node of the functional hierarchy model in another embodiment.

FIG. 9 is an explanatory diagram of an example of a display screen according to another embodiment.

FIG. 10 is a processing flowchart when a menu is selected.

FIG. 11 is an explanatory diagram of a method of extracting a node that requires monitoring.

[Explanation of symbols]

1 ... Plant, 2 ... Plant function evaluation unit, 3 ... Information editing unit, 4 ... Information presentation unit, 5 ... Storage device.

Claims (10)

[Claims] 1. Data acquired from a plant by storing plant function evaluation knowledge for evaluating whether each function of the plant is normal or abnormal in each node of a function hierarchical model that hierarchically represents the functional configuration of the plant. And a plant function evaluation means for evaluating a plant function by using the plant function evaluation knowledge, and if there is a plant function that can be evaluated as an abnormal state, refer to the knowledge of the node regarding the plant function evaluated as the abnormal, and the plant A plant monitoring apparatus comprising: an information editing unit that edits information regarding a function abnormality and an information presenting unit that presents the edited information. 2. A plurality of plant function evaluation knowledge groups in which knowledge for evaluating each function of the plant is arranged for each plant function, and whether the plant function is normal or abnormal for each plant function evaluation knowledge group. If there is a plant function that is judged to be abnormal, the plant monitoring characterized by editing and presenting information related to the plant function abnormality using the plant function evaluation knowledge used when it is judged to be abnormal apparatus. 3. In claim 1, during the period when no abnormality is detected in the plant function, the lowest node of the function hierarchy model or a preset node is used as an evaluation target node, and a node that can be judged to be in an abnormal state has occurred. in case of,
A plant monitoring device that adds, as an evaluation target node, a node located in a higher hierarchy than a node determined to be functionally abnormal. 4. In claim 1, when there are a plurality of nodes judged to be in an abnormal state, the hierarchical relationship between the abnormal nodes is examined, the nodes having the upper and lower hierarchical relationships are grouped, and the highest rank is set in each group. A plant monitoring device that edits and presents information about abnormalities in plant functions represented by nodes located at. 5. In claim 1, when there are a plurality of nodes judged to be in an abnormal state, the hierarchical relationship between the abnormal nodes is examined, the nodes in the upper and lower hierarchical relationships are grouped, and the highest node of each group is set. On the other hand, a plant monitoring device that presents information indicating that nodes that are located in the upper hierarchy and that have not yet been determined to be in an abnormal state are to be monitored. 6. The system according to claim 1, when there is a node judged to be in an abnormal state, presenting information on an abnormality in the plant function related to the node, and providing the plant function evaluation knowledge used when the node is judged to be abnormal. A plant monitoring device that edits and presents the reason for determining an abnormality, either automatically or in response to a user request. 7. The system according to claim 1, wherein when there is a node judged to be in an abnormal state, information regarding the abnormality of the plant function related to the node is presented, and the node which is judged to be in an abnormal state is located in a higher hierarchy. A plant monitoring device that edits and presents information on the prediction of the spread of anomalies automatically or in response to a user's request, using the knowledge of the node. 8. The node according to claim 1, wherein each node of the functional hierarchy model that hierarchically represents the functional configuration of the plant stores knowledge about abnormality cause identification of the node and determines that the node is in an abnormal state. In this case, a plant monitoring device that presents information related to an abnormality in the plant function, and presents the identification result of the abnormality cause or the information for identifying the abnormality cause automatically or in response to a user request. 9. The system according to claim 1, wherein each node of the functional hierarchy model hierarchically representing the functional configuration of the plant stores knowledge about an operation method at the time of abnormality of the node, and
A plant monitoring device that presents information on an abnormality in a plant function and presents operation guidance information automatically or in response to a user's request when there is a node determined to be in an abnormal state. 10. The plant function evaluation knowledge for evaluating each function of the plant includes knowledge for judging the magnitude of the abnormality or the degree of influence on the plant operation, and when the plant function evaluation means determines that there is an abnormality, A plant monitoring device that presents information related to an abnormality in a plant function and information that indicates the magnitude of the abnormality or the degree of influence on plant operation.