JPH0519730B2 - - Google Patents

Description

[Detailed Description of the Invention] [Technical Field of the Invention] The present invention identifies abnormal events in a plant online in real time in order to contribute to improving operational reliability and availability of large-scale plants. The present invention relates to a plant diagnosis device that provides information necessary for performing appropriate recovery operations.

[Prior Art] Conventional plant diagnostic equipment has a function of identifying the cause of an abnormality and displaying the cause of the abnormality, an operation guide, and an event that will occur next. However, it does not have a function to display trends in important process quantities that are most affected by the cause of abnormalities.
A drawback is that it is difficult to quickly grasp changes in process volume after an abnormality or after a recovery operation. Another drawback was that the operational guidance provided to the operator was qualitative, making it difficult to grasp the quantitative outlook.

[Summary of the Invention] This invention was made in order to eliminate the drawbacks of the conventional methods as described above. The object of the present invention is to provide a plant diagnostic device that can arbitrarily select several types of quantity sizes and display the trends of their predicted simulation results on the same cathode ray tube display device along with the trends of process quantities of the actual plant. It is.

[Embodiment of the Invention] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In Figure 1, 1 is plant data input from process variables such as plant temperature and pressure, 2
3 is a message processor for displaying a message to the operator after diagnosing a plant abnormality; 4 is a message file; 5 is an important process quantity determination unit that is activated after a successful plant abnormality diagnosis; 6 and 12 are first and second process trend data collection units; 7 is a parameter file for displaying process trend data; 8 and 13 are process trend data files; 9 inputs operation guide information from the plant abnormality diagnosis unit 2;
A manipulated variable determination unit arbitrarily selects several types of manipulated variables for recovery operations to be attempted according to the operation guide; 10 is a prediction simulation unit that predicts plant state fluctuations over time for each of the several types of manipulated variables; 11 is a prediction unit; Data files 14 and 15 are cathode ray tube display units for executing the simulation.

Next, the operation of this embodiment having such a configuration will be explained.

The plant abnormality diagnosis section 2 inputs necessary information from the plant data 1 from the actual plant, identifies the cause of the abnormality, and determines the operation guide, the next event, etc. The message processor 3 inputs information from the plant abnormality diagnosis section 2 and displays a message on the first cathode ray tube display section 14 using the message file 4. The important process quantity determination unit 5 is activated by inputting a signal indicating success in identifying the cause of the abnormality from the plant abnormality diagnosis unit 2, and determines items such as process quantities affected by the cause of the abnormality, process quantities to be monitored during recovery operations, etc. together with the priority. The first process trend data collecting unit 6 performs the following with respect to the process quantity items determined by the important process quantity determining unit 5:
The plant process amount data stored in the plant data 1 is collected as process trend data, and a first process trend data file 8 is created. The operation amount determining section 9 inputs the operation guide signal from the plant abnormality diagnosis section 2 and the current operation amount of the equipment corresponding to the operation guide from the plant data 1, and calculates the current operation amount and the maximum possible amount of the equipment. Several types of manipulated variables are determined from the manipulated variables, and these are used as simulated manipulated variables in the simulation described later. Prediction simulation part 10
is started by inputting a signal of success in identifying the cause of the abnormality from the plant abnormality diagnosis section 2, for example, via the important process determination section 5, inputs the plant process amount from the plant data 1, and uses this as the initial stage of the prediction simulation. After that, input the manipulated variable signal from the manipulated variable determination section 9, and then rapidly and quantitatively determine how the plant state changes after an abnormality occurs for each manipulated variable. Predict. Predictive simulation is executed using a data file 11 which is a temporary storage of simulation results. Second
The process trend data collecting unit 12 collects trend data regarding the process quantity items determined by the important process quantity determining unit 5 using the data file 11 that is the result of the prediction simulation, and generates a second process trend. Create data file 13. Using the first process trend data file 8, the second process trend data file 13, and the parameter file 7 for trend display, the actual process trend data and each simulation are displayed on the same graph on the second cathode ray tube display section 15. Simultaneously display the resulting process trends.

FIG. 2 is a block diagram of a plant diagnosis system according to another embodiment of the present invention. In FIG. 2, the same reference numerals as in FIG. 1 indicate the same or corresponding parts, so detailed explanation will be omitted. Reference numeral 20 in the figure is another prediction simulation section, which predicts changes in the plant state in parallel with the prediction simulation section 10 for several types of manipulated variables.

In this embodiment as well, the predictive simulation unit 20 is activated after receiving an output signal indicating success in identifying the cause of the abnormality from the plant abnormality diagnosis unit 2, similarly to the predictive simulation unit 10, and is activated based on the plant data 1. The initial state of the predictive simulation is set and stored by inputting the process amount, and then the manipulated variable signal from the manipulated variable determining section 9 is input, and a plurality of predictive simulation sections 10 are set for each manipulated variable. , 20 are activated simultaneously to rapidly and quantitatively predict how the plant state will change after an abnormality occurs in parallel. In this embodiment, calculations can be divided among the predictive simulation units 10 and 20 depending on the type of operation target, so the calculations can be made faster and more complex than in the embodiment shown in FIG. Predictive simulation by calculation can be achieved.

[Effects of the Invention] As described above, according to the present invention, the trend data of important process quantities is displayed after the cause of the abnormality is identified, so the quantitative nature of the operation guide can be easily grasped, and it can be used as a man-machine system. This has the effect of outputting dense information to operators.

Further, in the second embodiment, since a plurality of prediction simulation units are activated simultaneously, it is possible to quickly and quantitatively predict how the plant state will change after an abnormality occurs in parallel.

[Brief explanation of drawings]

FIG. 1 is a block diagram of a plant diagnostic system according to one embodiment of the present invention, and FIG. 2 is a block diagram of a plant diagnostic system according to another embodiment of the present invention. 1... Plant data, 2... Plant abnormality diagnosis section, 3... Message processor, 4... Message file, 5... Important process quantity determination section, 6, 12
...First, first process trend data collection section, 7
...Parameter file, 8, 13...Process trend data file, 9...Manipulated amount determination section, 10,
20... Prediction simulation section, 11... Data file, 14, 15... Braun tube display section. In addition, in the figures, the same reference numerals indicate the same or corresponding parts.

Claims (1)

[Scope of Claims] 1. An important process quantity determination unit that is activated after successful abnormality diagnosis of an actual plant and determines process quantity items that are most affected by the cause of the abnormality and process quantity items that should be monitored during recovery operations; A first process trend data collection unit that collects trend data of actual plant process quantities related to items, and optionally several types of operation quantities for recovery operations that are attempted according to the operation guide when the operation guide is displayed after an error occurs. A prediction simulation unit that sequentially predicts how plant state fluctuations will develop when recovery operations corresponding to these several types of operation variables are performed; A second method for collecting trend data of the predicted process amount.
1. A plant diagnosis device comprising: a process trend data collection unit; and a display device that displays the actual plant process amount and the predicted simulation result process amount on the same graph. 2. An important process quantity determination unit that is activated after successful abnormality diagnosis of the actual plant and determines the process quantity items that are most affected by the cause of the abnormality and the process quantity items that should be monitored during recovery operations, and the actual plant process quantities related to the aforementioned items. a first process trend data collection unit that collects trend data; and an operation amount determination unit that arbitrarily selects several types of operation amounts for recovery operations to be attempted according to the operation guide when the operation guide is displayed after an abnormality occurs. a plurality of predictive simulation units that are activated simultaneously to sequentially predict how plant state fluctuations will develop when recovery operations corresponding to these several types of manipulated variables are performed; and calculations of each of the predictive simulation units. A second process trend data collection unit that collects trend data of the process amount predicted based on the results, and a display device that displays the actual plant process amount and the process amount of the predicted simulation result on the same graph. A plant diagnostic device featuring: