JPS6079409A - Plant diagnosing device - Google Patents

Abstract

PURPOSE:To grasp the determinacy of an operation guide accurately at a high speed by selecting determinacy for the trend of an important throughout in case of fault occurrence, and displaying its estimated simulation result. CONSTITUTION:A plant fault diagnosis part 2 identifies the cause of abnormality of plant data 1 and determined an operation guide, etc. Its information is displayed on a display part 16 through a message processor 3. An important throughput determination part 5 determines a throughput in the fault occurrence etc., together with priority. A manipulated variable determination part 11 decides on an optimum manipulated variable curve from the data 1 and the time variation rate of the important throughput passed through a time variation determination part 9 and its file 10. Those are inputted to an estimated simulation part 12, whose arithmetic result is passed through its file 13, and a trend collection part 14 and its file 15 to display actual process trends 6 and 7 and process trends of estimated simulation results on a display part 17.

Description

[Detailed Description of the Invention] [Technical Field of the Invention] This invention provides a plant diagnosis system that identifies abnormal events in a plant online in real time in order to contribute to improving the operational reliability and availability of large-scale plants. It is related to the device.

[Prior art]

Conventional plant diagnostic equipment has the function of first identifying the cause of an abnormality that has occurred in a plant, and then 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 the abnormality.
There has been a drawback in that it is difficult for operators to quickly grasp predicted changes in process quantities after an abnormality or after recovery operations. Another drawback is that it is difficult for the operator to grasp the quantitative nature of the operation guide.

[Summary of the invention]

This invention was made in order to eliminate the following drawbacks of the conventional method, and it is possible to arbitrarily select several types of quantification for the trends and operation guides of important process quantities in the actual plant when an abnormality occurs. It is an object of the present invention to provide a plant diagnosis device that displays the trends of the prediction simulation results on a cathode ray tube display device.

[Embodiments of the invention]

An embodiment of the present invention will be described below with reference to the drawings. 1st
In the figure, 1 is plant data input from the plant,
2 is a plant abnormality diagnosis section; 3 is a message processor for displaying a message to the operator after the plant abnormality diagnosis; 4 is a message file; 5 is an important process amount determination section that is activated after the plant abnormality diagnosis is successful; 6 and 14 are Process trend collection units I and..., 7 are nodal file for process trend display, 8 and 15 are trend data files I and I, 9 is an important process quantity time change rate determining unit, loVi important process quantity a time change rate file, 11 is a manipulated variable determination unit that inputs the operation guide information from the plant abnormality diagnosis unit and determines the quantitative nature of the operation guide, and 12 is a unit that predicts plant state fluctuations with respect to an appropriate manipulated variable of the operation guide. Simulation Department, 13
Data files 16 and 17 for executing the Vi prediction simulation are cathode ray tube displays it and .

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

Necessary information is input from the plant data 1 from the actual plant, and the plant abnormality diagnosis section 2 identifies the cause of the abnormality, and also determines the operation guide, the next event, etc. The message processor 3 inputs information from the plant abnormality diagnosis section 2 and displays the message on the 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 the process quantity affected by the cause of the abnormality, the process quantity to be monitored during recovery operations, etc., together with the priority. do.

The process trend collection unit I6 inputs the plant data 1 and other data regarding the process quantities determined by the important process quantity determining unit 5, collects process trends, and creates a process trend file Iβ.

On the other hand, the important process quantity temporal change rate determination unit 9 constantly calculates the temporal change rate of the important process quantity used by the plant abnormality diagnosis unit 2, and stores it in the important process quantity temporal change rate file 10. The operation amount determination unit 11 receives the operation guide signal from the plant abnormality diagnosis unit 2, the deviation amount of the important process quantity from the reference value, the current operation amount of the equipment corresponding to the operation guide from the plant data 1, and the time rate of change. Enter the time change rate of important process quantities from file 10,
Determine the optimal manipulated variable curve. The predictive simulation unit 12 is started by manually inputting a signal of success in identifying the cause of the abnormality from the plant abnormality diagnosis unit 2, inputs the plant observation signal from the plant data 1, sets and stores the initial state of the predictive simulation, and then The manipulated variable signal from the manipulated variable determination section 11 is input, and how the plant state will change after an abnormality occurs is rapidly and quantitatively predicted with respect to the manipulated variable.

Prediction calculations in the prediction simulation section 12 are executed using the data file 13. trend collection department n1
4 collects process trend data regarding the process quantities from the important process quantity determination section 5 using the data file 13 which is the calculation result of the predictive simulation, and creates a trend file n15. Using the trend file 11 and the trend display parameter file 7, the process trend of the actual process trend prediction simulation result is displayed on the same graph on the cathode ray tube display section 1117.

〔Effect of the invention〕

As described above, according to the present invention, when performing plant diagnosis, the optimum manipulated variable curve is determined and given to important process quantities even after an abnormality occurs, and the process quantities of the actual plant at that time are determined and provided. and the process amount based on the prediction calculation results in the prediction simulation section are displayed on the same graph, so after identifying the cause of the abnormality, the quantitative nature of the operation guide can be quickly and accurately grasped, and the operator can use it as a man-machine system. It has the effect of outputting dense information.

[Brief explanation of drawings]

The drawing shows a block diagram of a plant diagnostic device according to an 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, 6.14.
...Process trend collection department 1. I, 7...Parameter file, 8.15...Trend data file!
. ■, 9... Time change rate determination unit, 10... Time change rate file, 11... Manipulated amount determination unit, 12... Prediction simulation, 13... Data file, 16.1
7... CRT display section I, 1 Agent Masuo Oiwa's written amendment to the procedure (spontaneous) To the Commissioner of the Japan Patent Office, who died in 1945/1999, 1, Indication of the case, Patent Application No. 188175/1982, 2, Name of the invention, Plant diagnosis Device 3, Representative Hitoshi Katayama of the person making the amendment Part 4, Deception of the agent Meishoki letter E9 1411 Yanagi, Mei's grip 6 Contents of the amendment (1) Meiji 1st part 4th part 4th In the 7th line, ``Cheetah File'' is corrected to ``Data File.'' (21 Ming 1111:?l No. 5 Shirakawa, line 20 “Set W,
Note 1. The omission of "understand," is corrected to "set and memorize,". (31 Ming.

Claims (1)

[Claims] In a plant diagnosis device that identifies the cause of an abnormality when an abnormality occurs in an actual plant and displays the cause of the abnormality, an operation guide, and the next event, etc., the important process quantities in the actual plant are determined and the a first process trend collection unit that collects trend data of actual plant process quantities; an operation guide signal from a plant abnormality diagnosis unit;
Output manipulated variable determination that determines the optimal manipulated variable by inputting the current manipulated variable, the deviation from the standard value of the important process variable, and the time change rate of the important process variable obtained from the constantly calculated time change rate file. a second process trend collection unit that collects trend data of the process amount based on the calculation results of the predictive simulation unit that predicts how the abnormality will develop when the output manipulated variable is given according to the output of the unit; A plant diagnosis device characterized in that the output process quantities of the first and second process trend collection units are simultaneously displayed on the same graph.