JPH01274209A - Plant fault diagnosing device - Google Patents

Abstract

PURPOSE:To reduce manual work and to rapidly perform diagnosis by displaying a faulty part in a plant and the process of the diagnosis on a fault tree and a system diagram. CONSTITUTION:A plant fault diagnosing device is constituted by connecting a monitor data input means 50, an interactive data input means 51, a fault tree display means 56, and a system diagram display means 57, and is constituted of a monitor data collection means 52, a storage means 53, and first and second diagnosing means 54 and 55. And when abnormality is generated in a certain function, the first and second diagnosing means 54 and 55 fetch fault tree data and system diagram data with respect to the function from the memory device 53, and display them on the display means 56 and 57, respectively. Next, the first daignosing means 54 fetches a various kinds of data related to a monitoring symptom whose correctness is decided by the monitor data out of the monitoring symptoms being set as a pair with all of the low-order events of the abnormality from the monitor data collection means 52, and diagnoses it, and displays the result of the diagnosis, and displays the part estimated as the faulty part with a thick line. Furthermore, the second diagnosing means 55 fetches interactive data, and displays it similarly.

Description

[Detailed description of the invention] [Industrial application field] The present invention relates to a failure diagnosis device for various plants.

[Conventional example]

A conventional example is shown in FIG.

102 is an input device for inputting various plant data based on various measuring instrument displays or human observation results; 103;
104 is a storage device that stores various fault diagnosis rules related to the plant in a format such as 2, for example, rIF voltmeter A ≧ 10 (V) THEN converter B = cause of failure; This is an inference device that searches for the cause of a failure by matching the plant data stored in the storage device 103 with the failure diagnosis rules stored in the storage device 103. In this case, based on the above rules, "Converter B = cause of failure"
I infer that.

101 is a failure cause display device that displays the inference result output from the inference device 104, and FIG. 11 shows the failure cause display status by this failure cause display device 101.

[Problem to be solved by the invention]

In recent years, plant failure diagnosis technology has become increasingly important due to requests for accident prevention and support for maintenance work by unskilled workers, but on the other hand, the plants involved are becoming more complex.

The conventional failure diagnosis apparatus has the following drawbacks.

In other words, even if the symptoms of a failure and the cause of the failure are displayed as in the past, the relationship (functional connection) between the two is difficult for the person monitoring it to understand, and the cause of the failure is also difficult to understand. The same thing can be said about where in the plant the designated areas are located, and it can no longer be said to be satisfactory from the standpoint of accident prevention or maintenance and maintenance work by unskilled personnel.

Furthermore, in the past, a lot of various plant data had to be entered manually, which was time-consuming.

[Means to solve the problem]

In order to solve the problems in the above conventional example, the present invention has the following features:
A storage means for classifying and storing failure main data and system diagram data related to the target plant, various data input means related to the plant, and data input from the various data input means related to the plant based on the data. A diagnostic means for diagnosing symptoms of the involved part, and a fault book display means for displaying the diagnosis history and diagnosis location based on the diagnosis result by the diagnostic means and the fault tree data and system diagram data stored in the storage means. and a system diagram display means.

[Effect]

The present invention will be explained in detail below.

In general, a target plant for failure diagnosis is composed of a combination of various functions, and each function is composed of a set of various members that are related to each other.

Therefore, if one component causes a failure.

Other surrounding members are also affected, and as a result, the function of the set of members becomes abnormal. Looking at this from the opposite perspective of failure diagnosis, if we represent the various components for realizing a certain function in a flow diagram in terms of their causal relationships with failure conditions, we can determine which component is the cause of the failure of that function. , shows what can be revealed by following the flow.

Therefore, a representation of the above-mentioned flow is herein referred to as a fault tree, and an example is shown in FIG. In the figure.

Symbols indicate events, ◇ indicates symptoms to be monitored, and ○ indicates members.

The convex portion indicates an AND condition, and 16 indicates an OR condition. Furthermore, event A is an event that represents a functional abnormality.

Event B (C) is a subordinate event, E is an event that integrates (F, G), and E, F, and G are members ■.

Events representing failures of Il, III, and IV, and the monitored symptoms (S, c, d, e, 19g) are paired with event B, when these and the events at the highest level are true.
This shows the conditions for determining that C, D, E, F, and G hold true.

Here, a method for searching for the cause of failure will be explained based on FIG. Now, a functional abnormality called event A has occurred (event A
), then the symptoms to be monitored are
, f, and g are introduced from the plant. As a result, if it is determined that b and e are true, it is diagnosed that events B and E are true.

The cause of the failure is event E, that is, the failure component is considered to be ■.

On the other hand, on one screen, event A to event E of the entire fault tree are displayed.
At the same time, the entire system diagram as shown in Figure 9 (representing the structural connections of various parts 1.n and 1.IV to realize function A) is displayed in bold. Among them, if the faulty part ■ is similarly displayed in bold so that it can be distinguished from other parts, it will be possible to understand what kind of causal relationship caused the abnormality, and where the faulty part is located structurally. You will find out.

〔Example〕

The present invention will be explained below with reference to one drawing.

FIG. 1 shows a configuration diagram of a plant failure diagnosis device according to an embodiment of the present invention. 50 constantly inputs various data related to the target plant that can be automatically monitored. Monitoring data input means 51 is used to constantly input various data related to the target plant that is impossible or difficult to monitor automatically, or that is preferably monitored by humans. 52 is a monitoring data collecting means for collecting data inputted from the monitoring data inputting means 50;
Reference numeral 3 denotes a storage means for storing fault tree data and system diagram data classified according to functions set as desired in the target plant, and 54 a first diagnostic means for performing failure diagnosis based on various data obtained from the monitoring data collection means. .

55 is a second diagnostic means for diagnosing a failure based on various data obtained from the interactive data input means 51; 56 is obtained from the first and second diagnostic means 54 and 55 based on the failure main data stored in the storage means 53; Failure book display means 57 displays the diagnosis results (diagnosis history), and 57 is a system for displaying the diagnosis results (fault locations) obtained from the first and second diagnosis means 54 and 55 based on the system diagram data in the storage means 53. It is a diagram display means. 50
is primarily a failure diagnosis device.

Next, the diagnosis process by the first and second diagnostic means 54,55 and the display process by the fault tree and system diagram display means 56,57 will be explained based on FIGS. 1 to 3.

Now, if a certain function becomes abnormal (event A' is established) (ST
ART), the first and second diagnostic means 54, 55 are event A
Fault main data and system diagram data related to ' (with event A' as the leading event) are taken in from the storage device 53, and a fault tree is created.
It is displayed on the system diagram display means 56 and 57 (Sl). next,
The first diagnostic means 54 includes symptoms whose success or failure is determined based on the monitoring data among the monitored symptoms that are paired with all the subordinate events of the event A' (in this case, d/, e/).

f', g') is taken in from the monitoring data collection means 52 (S2), and diagnosis 1 (diagnosis based on the monitoring data) is performed (S3).

The results are output to and displayed on the fault tree and system diagram display means 56 and 57 (S4).

That is, the monitored symptom that is determined to be true (in this case et, (t)) and the paired event (in this case E
', F') is estimated to be the cause of the failure, and the line connected to it is displayed in bold, and the location where the failure is presumed (in this case, n', I[[') is displayed in bold.

In this state, the definitive cause of the failure and the location of the failure are not yet clear (S5'). Next, the second diagnostic means 55 inputs the interactive data (in this case b'
or c') (S6) 1 diagnosis 2 (diagnosis based on interactive data) is performed (S7), and the results are output to and displayed on the fault tree and system diagram display means 56 and 57 (S
8).

That is, in this case, the line from event A' to event E' is displayed thickly, the failure point ■l is displayed thickly, and the part related to event F' and point III', where the failure was presumed, is displayed as a thick line. finish.

In addition, in order to incorporate 81 mentioned above, abnormal events (head events) of various functions (set as desired) related to the target plant are stored in the storage means 5 and 3, and these events are always stored in the fault tree/ It is displayed by the system diagram display means 56, 57 or other display means, and when an abnormality occurs in one function, the corresponding event is externally specified from among them (in this case, event A') L This can be done by feeding the data to the first and second diagnostic means 54 and 55, or by constantly monitoring the data regarding the correctness/abnormality of various functions as monitoring data, and monitoring the data as soon as an abnormality occurs. From the data collection means 52 to the first and second diagnostic means 54,55
You can do this by giving it to someone.

In addition, the above-mentioned import of 86 is performed based on the failure tree data stored in the storage means 53 at the end of S4, and the success or failure of the implementation is determined based on the interactive data related to the event A'. /, d/.

g' is restored with a code added by the fault tree/system diagram display means 56, 57 or other display means,
This may be done by inputting (designating) the corresponding code from the interactive data input device 51, or by inputting the corresponding symptom itself while looking at the fault tree displayed on the fault tree display means 54. You can.

Next, a concrete example of a failure tree and a system diagram when the present invention is applied to the main pump lubricating water supply function of a sewage pump plant will be explained.

Figure 4 is a system diagram corresponding to failure diagnosis for the main pump lubricating water supply function. Figure 5 (excluding the above) is a flow diagram showing the causal relationship between these parts and failure conditions.
a).

This is the fault tree shown in (b). In addition, FIG. 5(a).

The failure locations corresponding to failure causes 3, 4, 8, and 9.12 in (b) are the electrical system of the lubricating water pump 5, the same on the left, the electrical system of the well pump 10, the same on the left, and the solenoid valve in Figure 4, respectively. 1
Since it is within the electrical system of No. 1, it is not shown in FIG.

Step 1 of fault diagnosis based on Figures 4.5(a) and (b)
An example is shown below.

When the leading event ``main pump lubrication center'' is established,
First, a fault tree and a system diagram as shown in Figures 4.5(a) and 4.5(b) are displayed.

And among the lower symptoms related to the leading event A.

Success or failure is determined based on monitoring data. All monitored symptoms (those marked with the symbol "X" on the right) are all data related to coma and diagnosed. As a result, symptoms 岨, ha!
, if it is determined that Nino holds true, then the event mouth,
It was diagnosed that C.2 holds true, and the fault tree is as shown in Figure 6.

The system diagram is displayed as shown in FIG. 7, and the progress of one diagnosis and the location of the failure are highlighted in bold. In this case, since diagnosis using interactive data is not necessary, the failure diagnosis ends here.

Note that in this example, 9 diagnostic history and failure location are displayed in bold, but this is not the only option. Needless to say, from the purpose of the present invention, it is sufficient if

Further, a fault tree whose leading event is an abnormality in a certain function can sometimes become enormous, but in such cases, the fault tree can be displayed by sliding it vertically and horizontally on the screen.

〔Effect of the invention〕

As specifically explained above, according to the present invention, by displaying the failure location of the plant and its diagnosis process in the failure tree and system diagram, a person who monitors the plant can understand the relationship between the plant and its functions. This makes it easy to understand where the cause of the failure is located in the plant configuration, which is effective for accident prevention and maintenance work by unskilled personnel. , by using monitoring data, the work required by one person can be reduced and diagnosis can be made quickly.

[Brief explanation of the drawing]

Fig. 1 is a block diagram of a plant fault diagnosis device according to an embodiment of the present invention, Fig. 2 is an explanatory diagram of the fault diagnosis process, and Fig. 3 is a fault tree and system diagram accompanying the fault diagnosis process of Fig. 2. Figure 4 is a system diagram corresponding to the main pump lubricating water supply function in a sewage pump plant, Figure 5 (a)
. (b) is the fault tree corresponding to Fig. 4, and Fig. 6 is the fault tree corresponding to Fig. 5 (b).
) is a partial diagram to explain the diagnostic process display, Fig. 7 is a diagram to explain the failure location display in Fig. 4, Fig. 8 is a diagram to explain the failure tree, Fig. 9 is a diagram to explain the system diagram, and Fig. 10 is a diagram to explain the conventional plant. FIG. 11, which is a configuration diagram of a failure diagnosis device, is an explanatory diagram of a conventional failure cause display. 50...Monitoring data input means, 51...Interactive data input means, 53...Storage means, 54...First diagnosis means, 55...Second diagnosis means, 56... Failure book display means, 57...System diagram display means 1st Senha Bm

Claims (1)

[Claims] A storage means for classifying and storing fault tree data and system diagram data related to the target plant into patterns, various data input means related to the plant, and data input from the various data input means related to the plant. A diagnostic means for diagnosing symptoms of the involved part, and a fault tree display means for displaying the diagnosis history and failure location based on the diagnosis result by the diagnostic means and the fault tree data and system diagram data stored in the storage means. and a system diagram display means.