JPS59206713A - Monitoring and diagnosing device for plant - Google Patents

Abstract

PURPOSE:To identify the place, kind and degree of a trouble by finding the abnormality in the optional remote place started by a prescribed sensor and estimating the cause. CONSTITUTION:When a sensor 301 for detecting and identifying abnormality operates, said sensor is collated with information 304 on the installed position of apparatus inputted preliminarily to an analyzing part 302 in said part which estimates 303 the abnormal place and feeds the information on said position to an automatic sensing part. The information is analyzed 307 in said part. The automatic sensing part moves to the prescribed position and makes detection. The result of the detection is compared with a preset reference value 309 and the detection of abnormality is accomplished in a processing part 308. The result thereof is fed as an abnormality index to a logical judging part 310 where the cause for the abnormality is identified by using a diagnosis model 311 modeling the causality between causes and events. The condition of the actual abnormal position is accessed and measured in the above-mentioned way and therefore the detailed diagnosis is made possible. Since the sensing part moves to the prescribed position, the accuracy of the diagnosis is improved.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to an apparatus for detecting abnormalities in a plant, diagnosing the causes, etc., and providing guidance to operators.

Conventionally, there has been a device of this type as shown in FIG.

In Figure 1, (1) plan) 1. (21) is the equipment that makes up the plant (for example, pulp, piping, pumps, tanks, etc.); (3) is the sensor group that extracts the status of the plant process (for example, temperature, position, level, flow rate, sound, etc.); etc.), (4) is a monitoring and diagnostic device that functions by inputting signals representing the status from those processes, (5) is a part that detects abnormalities in the plant,
(6) is a diagnostic unit that identifies the cause of the abnormality detected by the plant abnormality detection unit (5), estimates the impact on the plant, predictions for the future, etc., and provides guidance information to the operator.

(7) is a process signal collected from the plant.

Next, the operation will be explained. The plant (1) consists of plant equipment (2), and these states (normal/abnormal) are determined by the physical quantities (e.g., pulp position, flow rate, pressure, water level, sound, etc.) directly or indirectly measured by sensors (3). ), which is then converted into a process signal (usually an electrical or optical signal) and sent to the required system.

The plant monitoring/diagnosis device (4) inputs these signals, and the abnormality detection unit (5) compares each process value or a combination thereof with a standard value (S7 balance) indicating an abnormality. Detect whether an abnormality has occurred in the plant. The detected abnormality information is sent to the abnormality diagnosis section (6), where the cause of the abnormality, the impact on the plant, predictions for the future, etc. are estimated, and the information is given to the operator to guide operations for repairing the abnormality. It has become.

Conventional plant monitoring and diagnostic equipment is configured as described above, and the process status is detected by sensors attached directly or indirectly to each device, making it possible to detect small breaks in piping, etc. Disadvantages include that it is difficult to detect based on flow rate, etc., and countless detectors are required to fix the damaged area, and there are cases where it is actually difficult to identify the damaged area. there were.

This system 8A was developed to eliminate the drawbacks of the conventional system as described above. By automatically bringing the detector closer to the diagnostic target, it is possible to detect more detailed fault locations and types of faults (causes of plant abnormalities). ) and the degree of failure.

Hereinafter, one embodiment of the present invention will be explained with reference to FIGS. 2 and 3. In Fig. 2, (21) is the plant equipment, (22) is the automatic sensing unit that detects abnormalities in this plant equipment, and (23) and (24) are the transmitter/receiver sensor units in the automatic sensing unit, respectively. Shi, (25
) is a diagnostic output unit that diagnoses and outputs abnormality in the plant using the abnormality detection signal transmitted from the automatic sensing unit (22). (26) 1. (,27) , (28
) and (29) are respectively located in the diagnosis section (25), and are a reception/transmission section, a detection section, a logic judgment section, and an information output processing section. Furthermore, (30) is means for transmitting plant process information from the automatic sensing section (22) to the diagnosis section (25).

Further, FIG. 3 shows the processing order in this apparatus.

In the figure (301) is an abnormality detection fixed sensor, and the abnormality analysis section (302) analyzes the abnormality location by the operation of the sensor. The abnormal location is estimated (303) by checking the installation position information (304). A guidance signal to the abnormal location is sent to and received by the automatic sensor (305), and the sensor moves accordingly and the state is detected by the sensor (306).
) is carried out. These data are sent and received (307) to the diagnosis/output section. (308) tests whether the received data shows an abnormal value using the 7 balance data (309), squares the barrier, and sends it to the logic judgment section (310), where the diagnostic model (311) to identify the cause of the abnormality. (312) is an information providing processing unit that processes the results and provides them to the operator.

As shown in Figure 2, in the plant inspection/diagnosis equipment,
Plant process information for diagnosis is obtained from the automatically moving sensing section (22), and is transmitted to the diagnosis output section (25) through the information (signal) transmission means (30).

In each part, first, the automatic sensing part (22) has a sensor part (24) and a transmitter part (23). (video camera), sound sensor, etc.) to detect the state of the target. The diagnostic output section (25) receives and processes the signal from the automatic sensing section (22) through the receiving section (26) K therein, and then processes the signal from the automatic sensing section (22).
27), a test is performed to see if the I day number shows an abnormal value, and the result is used as an abnormality index, for example, 2 hani (0,
1) Express it as a signal and send it to the logic judgment section (28). The logic judgment unit (28) considers the plant process conditions at that time and configures the logic for identifying the cause of the event by combining it with the abnormality index in advance, so that the logic at the point where the abnormality index becomes active is activated. By doing so, the predetermined event and cause become clear. Its output part (29) -
These results can be sent to a human information providing means (for example, a CRT).
etc.) Indicates that the output is K.

In addition, the processing order in this device can be explained using Fig. 3 in Theory 1-! I-1
do.

7. The abnormality detection fixed sensor (301) is activated, and the abnormality analysis part (302) in the logic judgment part of this device inputs the sensor.
), the approximate location of the abnormality is known by comparing it with a table of the approximate locations of abnormality in the plant (systems, equipment, etc.) corresponding to predetermined operation sensors.

Next, the location estimation (303) section refers to the plant equipment installation location information (304) based on the above information and obtains three-dimensional information indicating the actual location of the abnormality location in the plant. This position information is sent to the sensor movement instruction signal transmission/reception processing unit (305
) and sent to the automatic sensing unit. By receiving, processing and interpreting the movement signal (307), the self-sensing unit moves to a predetermined position and starts detection there. Detected process and environmental data are set in advance for each plant part. Standard values (reference values) indicate the normal range of process values and environmental data.
An anomaly detection processing unit (308) compares it with the data (309) and detects an anomaly. In addition, this processing unit (308) uses the result as an abnormality index expressed in binary and uses it as a logical judgment unit (308).
310) and uses the diagnostic model (311) to identify the cause of the abnormality. The diagnostic model (311) models causes and causal relationships between events, and includes information such as predictions regarding the progress of causes and events. The information provision processing unit (312) is a processing unit that processes this information and provides it to the operator via man-machine equipment.

In addition, in the above embodiment, the reference data (309) in FIG. 3 does not need to be a fixed standard value, and may be calculated by a function or compared with a reference value, or may be a variety of models (physical model, simple model, etc.). .

As described above, according to this example of the invention, when diagnosing an abnormality, the actual state of the abnormal site (temperature, shape, radioactivity, sound)
Detailed diagnosis is possible by closely measuring
Because the giant sensing part moves close to the predetermined area,
In order to improve diagnostic accuracy, it is possible to greatly reduce the number of measuring instruments that would normally be permanently installed in a plant, and the plant configuration can be made cheaper.

[Brief explanation of drawings]

FIG. 1 shows a conventional plant monitoring/diagnosis device, FIG. 2 shows a plant monitoring/diagnosis device according to an embodiment of the present invention, and FIG. 3 shows a processing procedure in this device. (22)... Automatic sensing section, (24)... Sensor section, (23)... Transmitting/receiving section, (25)... Diagnostic output section, (26)... Receiving/transmitting section, (27)...・Detection part,
(28)...Logic judgment unit, (29)...Information output processing unit, (3δ) Information transmission means, (301)...Anomaly detection fixed sensor, (302)...Abnormality analysis, (303)... )
...Location analysis, (304) Puent equipment installation location information, (3
05)...Sensor movement instruction signal transmission/reception processing, (306
One side: sensor movement and state detection, (307)...detection data transmission/reception processing, (308)...abnormality detection processing, (3
09)...Reference data, (310)...Logical judgment, (311)...Diagnostic model, (312)...
In the information provision process, the same reference numerals in the figure indicate the same or mutually beneficial four minutes. Agent Masuo OiwaFigure 1Figure 2Figure 3

Claims (1)

[Claims] A device for monitoring plant conditions, detecting abnormalities, and diagnosing causes, characterized by being activated by a predetermined (fixed) sensor to search for abnormalities at any remote location and identify the cause. Plant monitoring and diagnosis equipment.