JP2000298511A - Equipment diagnosing device and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an equipment diagnosing device capable of diagnosing a plant without using a diagnostic measuring means. SOLUTION: The equipment diagnosing device monitors the plant by extracting a combination of parameters having correlation from at least one kind of measured values acquired by plural measuring means 7, 8, 10, 15 to 17 and at least one kind of controlled variables to be processed by a control device 1 for controlling the plant and comparing the value of a parameter obtained during the operation of the plant with the correlation to check their consistency.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a facility diagnostic device and a recording medium for diagnosing the operating state of equipment provided in a plant, for example.

[0002]

2. Description of the Related Art Conventionally, when diagnosing the operating state of equipment provided in a plant by using this kind of equipment diagnostic apparatus, a dedicated diagnostic equipment for measuring physical phenomena which are signs of abnormality or failure. Measuring means is installed for each device to be diagnosed, and the device is diagnosed by analyzing the causal relationship between abnormal events and failures from the correlation between abnormalities and failures occurring in each device. .

[0003]

However, in such a conventional equipment diagnostic apparatus, it is necessary to install a dedicated diagnostic measuring means for capturing a characteristic occurring at the time of abnormality for each equipment to be diagnosed. . Furthermore, in order to install such a diagnostic measuring means, it is necessary to modify the target device.

As a result, not only is the device expensive, but also the overall device becomes complicated.

The present invention has been made in view of such circumstances, and provides an inexpensive and simple equipment diagnosis apparatus capable of diagnosing a plant without using the above-described diagnostic measuring means. The purpose is to do.

[0006]

Means for Solving the Problems In order to achieve the above object, the present invention takes the following measures.

That is, according to the first aspect of the present invention, at least one type of measured value obtained by the measuring means for measuring the state quantity of the plant and at least one type of control amount handled by the control device for controlling the plant are included. From
The plant is monitored by extracting a combination of parameters having a correlation with each other and comparing the values of the parameters obtained during the operation of the plant with the correlation.

Therefore, in the equipment diagnosis apparatus according to the first aspect of the present invention, the measured value obtained from the measuring means for measuring the state quantity of the plant and the control amount handled by the control device for controlling the plant are used. In addition, the equipment of the plant can be monitored.

According to a second aspect of the present invention, in the equipment diagnosis apparatus according to the first aspect of the present invention, the plant includes a control loop composed of devices controlled by the control device, and the control amount handled by the control device is , The state quantity in the control loop, or the control quantity input to the device from the control loop.

Therefore, in the equipment diagnosis apparatus according to the second aspect of the present invention, in addition to the measured values obtained from the measuring means for measuring the state quantity of the plant, by using a large number of control quantities handled by the control apparatus, It is possible to monitor the equipment of the plant in more detail.

According to a third aspect of the present invention, in the equipment diagnosis apparatus according to the first aspect of the present invention, the consistency between a correlation equation derived from the correlation and a parameter value obtained during operation of the plant is compared. Monitor the plant.

Therefore, in the equipment diagnosis apparatus according to the third aspect of the present invention, the condition of the plant can be monitored quantitatively by using the correlation equation.

According to a fourth aspect of the present invention, there is provided the equipment diagnosis apparatus according to the third aspect of the present invention, wherein the correlation equation depends on the operating conditions of the plant.

Therefore, in the equipment diagnosis apparatus according to the fourth aspect of the invention, monitoring can be performed according to the operating conditions of the plant.

According to a fifth aspect of the present invention, in the equipment diagnosis apparatus of the third or fourth aspect, the correlation equation has an allowable range in which a correlation is considered to be established.
When the value of the parameter obtained during the operation of the plant deviates from the allowable range, it is determined that some abnormality has occurred in the plant.

Therefore, in the equipment diagnosis apparatus according to the fifth aspect of the present invention, it is possible to determine the abnormality of the plant with high reliability.

According to a sixth aspect of the present invention, there is provided the equipment diagnosis apparatus according to the fifth aspect of the present invention, wherein the allowable range is a function dependent on a correlation equation.

Therefore, in the equipment diagnosis apparatus according to the sixth aspect of the present invention, the abnormality determination of the plant can be performed with high reliability.

According to a seventh aspect of the present invention, in the equipment diagnostic apparatus according to any one of the third to sixth aspects of the present invention, a storage means for storing a correlation equation is provided.

Therefore, in the equipment diagnosis apparatus according to the seventh aspect of the present invention, by providing storage means for storing the correlation equation, the abnormality determination of the plant can be performed with high reliability without lowering the processing capacity of the equipment diagnosis apparatus. Can do it.

According to an eighth aspect of the present invention, in the equipment diagnosis apparatus according to any one of the fifth to seventh aspects, when it is determined that any abnormality has occurred in the plant, the abnormality diagnosis is performed based on the result of the comparison of the consistency. Is identified, and an abnormal event is diagnosed based on a diagnosis rule that defines a relationship between an abnormal event that is determined and registered in advance and an abnormal cause of the abnormal event.

Therefore, in the equipment diagnosis apparatus according to the present invention, when an abnormality occurs in the plant, it is possible to identify the abnormal event and diagnose the abnormal event.

According to a ninth aspect of the present invention, at least one type of measured value obtained by the measuring means for measuring the state quantity of the plant and at least one type of controlled variable handled by the control device for controlling the plant are selected from the group consisting of: A correlation creating means for extracting a combination of parameters having a correlation with each other, and comparing the value of the parameter obtained during operation of the plant with the correlation, and as a result, the value of the parameter and the correlation A process value monitoring means for specifying an abnormal event of the plant when consistency with the parameter value is not obtained; and a process value when the consistency between the parameter value and the correlation is not obtained as a result of the comparison. A program for causing a computer to function as diagnostic means for diagnosing the abnormal event based on the abnormal event specified by the monitoring means. A computer-readable recording medium recording a gram.

Therefore, in the recording medium according to the ninth aspect of the present invention, it is possible to monitor a plant, detect and specify an abnormal event, and diagnose the abnormal event.

[0025]

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

(First Embodiment) A first embodiment of the present invention will be described with reference to FIGS.

FIG. 1 is a configuration diagram showing an example of a plant to which a facility diagnostic device according to an embodiment of the present invention is applied.

The equipment diagnosis apparatus 1 according to the present embodiment is realized by a computer such as a workstation which reads a program recorded on a recording medium such as a magnetic disk and the operation of which is controlled by the program.

The equipment diagnostic apparatus 1 has a function of measuring a state quantity of a plant from measuring means provided in the plant,
It has a function of monitoring the plant from the measurement result and a function of diagnosing an abnormal event when an abnormality occurs in the plant.

A plant to which the equipment diagnosis apparatus according to the present embodiment illustrated in FIG. 1 is applied is a plant that transfers a fluid using a pump. The plant includes an equipment diagnosis device 1 for performing plant control and equipment diagnosis, a pump 2 for transferring fluid, an electric motor 3 for driving the pump 2,
An AC power supply 5 for supplying electric power to the motor 3;
It comprises a liquid resistor 11 for controlling the secondary current and a control loop including various measuring means 7, 8, 10, 15, 16, 17 for measuring the state quantity.

Further, a pump 2 is provided on the pipe 13, and the pump 2 has a structure in which a fluid flows therein.
The fluid flowing inside is discharged by the power supplied from the electric motor 3. The blades of the pump 2 are connected to the electric motor 3 via a shaft 4. Thereby, the rotational power of the electric motor 3 is transmitted to the pump 2 via the shaft 4.

The AC power supply 5 is connected to the electric motor 3 via a power supply line 6.
Supply electrical energy to Wattmeter 7 and ammeter 8
Measures the amount of electric power and the current supplied from the AC power supply 5 to the electric motor 3 and sends the measurement result to the equipment diagnosis apparatus 1.

The motor 3 has a tachometer 10 on its bearing 9. The tachometer 10 measures the number of rotations of the electric motor 3 and sends the result to the equipment diagnosis device 1. The electric motor 3
Is connected to the liquid resistor 11 via the electric wire 12.
The liquid resistor 11 supplies a secondary current to the electric motor 3.
Further, the liquid resistor 11 is connected to the equipment diagnosis device 1. The equipment diagnostic device 1 sends a command signal 14 to the liquid resistor 11.
To control the electric resistance of the liquid resistor 11, thereby controlling the secondary current of the electric motor 3.

The pipe 13 has a suction pressure gauge 15 upstream of the pump 2 and a discharge pressure gauge 16 and a flow meter 17 downstream of the pump 2. These pressure gauges 15 and 16 measure the pressure before and after the pump 2, and send the result to the equipment diagnosis apparatus 1. The flow meter 17 measures the flow rate of the liquid flowing inside the pipe 13 and sends the result to the equipment diagnosis device 1.

Next, the function of the equipment diagnosis apparatus 1 will be described with reference to FIG.
This will be described with reference to FIG.

FIG. 2 is a functional block diagram showing an example of the functions of the equipment diagnosis apparatus according to the present embodiment.

The equipment diagnostic device 1 includes various measuring means 7,
A process value acquisition unit 31 for acquiring state quantities measured by 8, 10, 15, 16, and 17; a state quantity having a correlation is extracted from the acquired state quantities; The apparatus includes a creating unit, that is, a correlation table creating unit 32, a correlation table correcting database creating unit 34, and a correlation table correcting unit 36.

Further, the equipment diagnosis apparatus 1 monitors a plant abnormality, and when there is a plant abnormality, a process value monitoring means 37 for specifying an abnormal event, a cause of the abnormal event and an abnormality generating device. And a display means 40 for displaying the result of the diagnosis, and storage means 33, 35 and 39 for storing necessary data.

The process value acquiring means 31 includes measuring means 7, 8, 10, 15, 1 provided in the equipment of the plant.
The state quantities measured by 6 and 17 are acquired.

The correlation table creating means 32 extracts parameters having a correlation from the state quantities acquired by the process value acquiring means 31 in a state where the plant is operating normally, and makes a table of the correlations. , In the correlation table database 33.

An example of a method for creating such a correlation table will be described with reference to FIGS.

FIG. 3 is a correlation diagram showing an example of the relationship between the motor current and the motor speed when the plant according to the present embodiment is operating normally.

FIG. 4 is a schematic diagram showing an example of the correlation table according to the present embodiment.

As shown in FIG. 3, there is a linear approximation between the motor current X and the motor rotation speed Y, and the relationship of a straight line Y = A × X + B is established.

FIG. 4 shows a correlation table in which a pair of parameters having a correlation are extracted, and a correlation expression representing the correlation is put together.
A, B, C, D, E, and F are the slopes of each primary correlation equation, and N, M, L, P, Q, and R are the intercepts on the vertical axis of each primary correlation equation.

However, actually, the measured state quantities include variations due to measurement errors and the like. Therefore, a certain allowable range is set in consideration of this variation.

The means for setting such an allowable range is the correlation table correction database creating means 34.

FIG. 5 is a correlation diagram showing an example of a time-dependent change of the motor speed under a condition where the motor current is constant in a state where the plant is operating normally.

In FIG. 5, b1 indicates a time trend of the motor rotation speed, and b2 is an average value thereof. Further, b3 and b4 are the maximum value and the minimum value of the motor speed b1, respectively. As described above, the measured motor speed fluctuates in the range of b4 <b3 even when the motor current is constant.

In such a case, the motor speed is b4 <
If it is within the range of b3, it is determined that there is no abnormality. That is, the motor current and the motor speed are represented by Y = A · X in FIG.
The correlation is not established only when the function is uniquely satisfied as in the equation shown in + N.
If it falls within a certain allowable range, it is determined that the correlation is established.

FIG. 6 is a correlation diagram showing an example of a range in which the correlation between the motor current and the motor speed is established.

The permissible range shown by hatching in FIG. 6 includes the first-order approximation correlation equation Y = A × X + N shown in FIG. 3, which indicates that the correlation between the motor current and the motor speed is established. This is an area between the upper limit expression Ymax = A'.X + N 'and the lower limit expression Ymin = A ".X + N" which can be determined. If the motor rotation speed with respect to the motor current is within the permissible range shown by the oblique lines in FIG. 6, it is determined that the correlation between these parameters is established.

The method of determining the upper limit expression and the lower limit expression shown in FIG. 6 may be determined from the maximum value b3 and the minimum value b4 of the motor speed for a certain motor current value, as shown in FIG. Alternatively, the deviation of the variation may be obtained from a statistical method, and the deviation may be determined based on the value.

The correlation table correction database creating means 34 determines an allowable range in which the state quantity correlation is established in this way, and stores the allowable range in the correlation table correction database 35.

The correlation table correction means 36 stores the allowable range of the correlation stored in the correlation table correction database 35 in the correlation table database 33. Thus, the correlation table database 33 stores the parameters having the correlation and the allowable range of the correlation.

The process value monitoring means 37 compares the state quantity obtained from the process value obtaining means 31 during the operation of the plant with the correlation establishment condition stored in the correlation table database 33 to determine the correlation of each parameter. Perform a consistency check. When a parameter that does not have consistency with other parameters is detected from each parameter, a parameter having an abnormality is determined by the following method, and the result is sent to the diagnosis unit 38.

FIG. 7 is a schematic diagram showing an example of a method of determining a parameter having an abnormality performed by the process value monitoring means.

First, since the correlation between one discharge flow rate and the motor speed is not established, it can be seen that either the discharge flow rate or the motor speed is abnormal. Next, since the correlation between the discharge flow rate and the motor current is not established, it is understood that either the discharge flow rate or the motor current is abnormal. Further, since the correlation between the three motor rotation speeds and the motor current is established, it is understood that both the motor rotation speed and the motor current are normal. Thus, it is clear from the three correlations that the discharge flow rate of the pump is abnormal.

As described above, the process value monitoring means 37
When detecting a parameter for which a correlation is no longer established, an abnormal parameter is identified by comparing the establishment of a plurality of other correlations and narrowing down the cause.

The diagnosis means 38 refers to the diagnosis rule database 39 and diagnoses the cause of the abnormal event and the device in which the abnormality has occurred.

The diagnosis rule database 39 stores a production rule (IF-THEN rule) for estimating the cause of an abnormality from an abnormal parameter. This production rule associates the cause of the abnormal event and the device that caused the abnormality based on the combined condition of the parameter establishment / non-satisfaction based on the plant system analysis and the failure case analysis.

FIG. 8 is a conceptual diagram showing an example of a production rule.

Such a production rule is composed of a combination of information on the establishment / non-establishment of a plurality of parameters, and a diagnostic mode number is assigned to each combination. In the example shown in FIG. 8, for each diagnostic mode number determined from the combination of the feasibility / non-feasibility information of two parameters, the corresponding abnormality cause and abnormality occurrence device information are registered.

For example, the diagnosis mode 4131 in which the discharge flow rate is abnormal and the pump discharge pressure is abnormal is caused by breakage of the water turbine blade, and the diagnostic mode 4130 in which the discharge flow rate is abnormal and the pump discharge pressure is normal is determined by the pipe valve opening. Each of them is identified as abnormal.

Such a production rule is registered in the diagnostic rule database 39 via the input means 41,
It is stored.

The display means 40 displays the result of the diagnosis made by the diagnosis means 38.

Next, the operation of the equipment diagnosing apparatus of the present embodiment configured as described above will be described with reference to FIG.

FIG. 9 is a flowchart showing the operation of the equipment diagnosis apparatus according to this embodiment.

As shown in FIG. 9, the operation of the equipment diagnosis apparatus according to the present embodiment is roughly classified into before and after plant operation.

Before the plant operation, the correlation table database 33 and the correlation table database 3 for determining whether or not the parameter correlation is established.
3, a correlation table correction database 35 for supplying data of a correlation establishment allowable range and a diagnosis rule database 39 for diagnosing abnormality are registered.

After the operation of the plant, the state quantities during the operation are obtained from various measuring means, and the correlation table database 33 and the correlation table correction database 35 are used to determine whether the correlation between the process parameters is established or not. Judgment and identification of an abnormal event are performed. Further, an abnormal device and an abnormal cause are diagnosed using the diagnosis rule database 39.

Hereinafter, the operation of the equipment diagnosis apparatus 1 will be described with reference to the flow chart of FIG.

First, in the process value obtaining means 31,
The state quantity in the normal operation state of the plant is obtained from various measuring means (S1). This means that the power meter 7, the ammeter 8, the tachometer 1
0, by obtaining the measurement results from the suction pressure gauge 15, the discharge pressure gauge 16, and the flow meter 17.

From the state quantities thus obtained, parameters having a correlation are extracted by the correlation table creating means 32 and the correlation table correcting database creating means 34 (S2).

Further, the correlation table correction database creating means 34 creates correlation table correction data defining an allowable range in which it is determined that the parameter correlation is established. 35 (S3).

Further, the correlation table creating means 32 obtains a correlation equation of a parameter having a correlation, and the correlation table correcting means 36 extracts allowable range data stored in the correlation table correcting database 35. Then, correlation table data is created from these information and stored in the correlation table database 33 (S4).

On the other hand, the production rule, which is information for diagnosing the cause of the plant abnormality and the abnormal equipment, is registered in the diagnosis rule database 39 from the input means 41 of the equipment diagnosis apparatus 1 (S5). The diagnosis rule database 39 can be updated at any time, and new knowledge can be appropriately reflected.

As described above, after the necessary data is registered, the operation of the plant is started (S6). When the operation of the plant is started, the state variables measured by the wattmeter 7, the ammeter 8, the tachometer 10, the suction pressure gauge 15, the discharge pressure gauge 16, and the flow meter 17 are acquired by the process value acquiring means 31. (S7).

Based on the information defined in the correlation table database 33, the establishment of the correlation is determined by the process value monitoring means 37 (S8).

If all the parameters satisfy the conditions defined in the correlation table database 33 (S9: Yes), the equipment of this plant is determined to be normal (S10), and monitoring is continued. I do.

On the other hand, the correlation table database 33
If a parameter that deviates from the condition defined in (1) is detected (S9: No), an abnormal event is specified by the process value monitoring means 37 (S11).

Further, the information is sent to the diagnostic means 38,
The diagnosis means 38 diagnoses the cause of the abnormality and the abnormal device in accordance with the production rules stored in the diagnosis rule database 39 (S12), and the result is displayed on the display means 40 (S13).

When the cause of the abnormality is displayed on the display means 40, a recovery operation or the like is performed by the operator, and after the abnormality is removed (S14), the operation returns to the normal monitoring mode again.

As described above, the equipment diagnosis apparatus according to the present embodiment can diagnose the equipment of the plant by using the measured values obtained from the measuring means for measuring the state quantity of the plant.

As a result, the diagnostic measuring means becomes unnecessary.
Accordingly, it is not necessary to modify equipment for mounting the diagnostic measuring means, and it is possible to realize an equipment diagnostic apparatus which is economically superior and has a simple configuration.

Therefore, by applying the equipment diagnosis apparatus according to the present embodiment, it is possible to realize an inexpensive and simplified plant.

(Second Embodiment) The equipment diagnosis apparatus according to the second embodiment of the present invention has the same configuration as the equipment diagnosis apparatus according to the first embodiment, and the correlation table creating means 32 and The correlation table correction database creating means 34 is provided with a function of creating a condition for establishing a parameter correlation when the operating conditions of the plant are different, and the process value monitoring means 37 is provided with a correlation according to the operating conditions of the plant. A function of performing plant monitoring using the established condition is added.

This embodiment will be described with reference to FIG.

FIG. 10 is a conceptual diagram showing an example of changing the range in which the correlation between the motor current and the motor speed is established.

The "pre-change" correlation establishment range shown in FIG. 10 is the same as that shown in FIG. FIG.
Is an example of the correlation establishment range when the correlation between the motor current and the motor speed changes due to a change in the operating conditions of the plant.

For example, even if the performance of the equipment of the plant is exactly the same, the temperature in winter is lower than in summer and the density of the fluid in the pipe is higher than in summer, so that the load on the pump 2 increases.
Therefore, even if the electric current of the electric motor is constant, the electric motor rotation speed becomes small.

As described above, the correlation between a pair of parameters may change depending on the operating conditions of the plant.

Therefore, in the equipment diagnosis apparatus 1 of this embodiment, the correlation table creating means 32 and the correlation table correcting database creating means 34 change the condition for establishing the correlation of the parameters according to the operating conditions of the plant. Function and a process value monitoring means 37
Has a function of performing plant monitoring using a correlation establishment condition according to the operating condition of the plant.

The correlation table creating means 32 calculates the parameters of each of the plant operating conditions (eg, “summer mode” and “winter mode”) in the same manner as described in the first embodiment. The correlation is grasped, a correlation table is created from them, and stored in the correlation table database 33.

Similarly, the correlation table correction database creating means 34 is operated in the same manner as described in the first embodiment for each plant operating condition (eg, “summer mode” and “winter mode”). , A range in which the correlation between the parameters is established, and stores it in the correlation table correction database 35.

The correlation table correcting means 36 also converts the correlation allowable range data stored in the correlation table correction database 35 into the correlation table database in the same manner as described in the first embodiment. 33
To reflect.

Thus, for each plant operating condition,
The correlation establishment determination data is stored in the correlation table database 33.

The process value monitoring means 37 fetches the correlation establishment feasibility determination data corresponding to the operating conditions of the plant from the correlation table database 33 and compares it with the measurement data obtained from the process value obtaining means 31 during plant operation. , Check the consistency of each parameter. For example, in the summer season, the consistency check of each parameter is performed using the correlation establishment possibility determination data of “summer mode”.

If the correlation does not hold, an abnormal event is identified by the same method as described in the first embodiment,
The result is transferred to the diagnosis means 38.

The subsequent operation is the same as that described in the first embodiment.

As described above, the equipment diagnosis apparatus of this embodiment is different from the first embodiment in that an abnormal event is specified, a cause of the abnormality, and a diagnosis of the abnormal equipment is further performed according to the operating conditions of the plant. Can be performed.

As a result, in addition to the effects obtained in the first embodiment, it is possible to perform a more precise plant diagnosis.

Note that the method described in each of the above embodiments can be implemented by a computer (computer) as a program (software means) such as a magnetic disk (floppy disk, hard disk, etc.), an optical disk (CD-ROM, etc.). , DVD, etc.), a semiconductor memory or the like, and can also be transmitted and distributed via a communication medium.

The programs stored in the medium include a setting program for causing the computer to execute software means (including not only the execution program but also tables and data structures) to be executed in the computer. A computer that realizes the present apparatus reads a program recorded on a recording medium, and in some cases, constructs software means by using a setting program, and executes the above-described processing by controlling the operation of the software means.

On the other hand, in each of the above-described embodiments, the equipment diagnosis device described in the claims and the control device described in the claims are described as being integrated with the equipment diagnosis device 1. As described above, the equipment diagnosis device described in the claims is not limited to the equipment diagnosis device 1 described in each of the above embodiments, and may be integrated with the control device described in the claims.

Further, in each of the above embodiments, the case where the equipment diagnostic apparatus monitors the plant based on the state quantities obtained from various measuring means has been described. It is not limited to the state quantity obtained from the means, but may be a control quantity (for example, the command signal 14 input to the liquid resistor 11) input to the plant equipment.

[0107]

As described above, according to the equipment diagnosis apparatus of the present invention, it is possible to provide an equipment diagnosis apparatus capable of diagnosing a plant without using a diagnostic measuring means dedicated to plant diagnosis. Can be.

As a result, the diagnostic measuring means becomes unnecessary,
Accordingly, it is not necessary to remodel equipment for mounting the diagnostic measuring means, so that it is possible to realize an equipment diagnostic apparatus which is economically superior and has a simple configuration.

Therefore, by applying the equipment diagnosis apparatus of the present invention, it is possible to realize an inexpensive and simplified plant.

[Brief description of the drawings]

FIG. 1 is a configuration diagram showing an example of a plant to which a facility diagnostic device according to a first embodiment is applied.

FIG. 2 is a functional block diagram illustrating an example of a function of the facility diagnostic device according to the first embodiment.

FIG. 3 is a correlation diagram showing an example of a relationship between a motor current and a motor speed when a plant is operating normally.

FIG. 4 is a schematic diagram showing an example of a correlation table.

FIG. 5 shows a case where the plant is operating normally.
FIG. 6 is a correlation diagram showing an example of a time-dependent change in the motor speed under a condition where the motor current is constant.

FIG. 6 is a correlation diagram showing an example of a range in which a correlation between a motor current and a motor speed is established.

FIG. 7 is a schematic diagram illustrating an example of a method of determining a parameter having an abnormality performed by a process value monitoring unit.

FIG. 8 is a conceptual diagram showing an example of a production rule.

FIG. 9 is a flowchart showing the operation of the facility diagnostic device according to the first embodiment.

FIG. 10 is a conceptual diagram showing an example of changing a range in which the correlation between the motor current and the motor speed is established.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Equipment diagnostic device, 2 ... Pump, 3 ... Electric motor, 4 ... Shaft, 5 ... AC power supply, 6 ... Power line, 7 ... Wattmeter, 8 ... Ammeter, 9 ... Bearing, 10 ... Tachometer, 11 ... Liquid Resistor, 12: Electric wire, 13: Piping, 14: Command signal, 15: Suction pressure gauge, 16: Discharge pressure gauge, 17: Flow meter, 31: Process value acquisition means, 32: Correlation table creation means, 33 ... Correlation table database, 34: Correlation table correction database creating means, 35: Correlation table correction database, 36: Correlation table correction means, 37: Process value monitoring means, 38: Diagnosis means, 39: Diagnosis rule database , 40 ... display means, 41 ... input means.

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Kazuhiko Otoba 2-1974 Imobo, Higashiyamato-shi, Tokyo (72) Inventor Taku Kanemi 29-3 Takatsudo-cho, Midori-ku, Chiba-shi, Chiba 611 (72) Inventor Tetsu Miyoshi 1-14-22 Narita Higashi, Suginami-ku, Tokyo Asagaya 1st Hiddens 102 (72) Inventor Akira Sawada 1 Toshiba-cho, Fuchu-shi, Tokyo Inside Fuchu Plant, Toshiba Corporation (72) Inventor Yoshikazu Tonzuka Tokyo 1 Toshiba-cho, Fuchu-shi, in the Fuchu factory, Toshiba Corporation (72) Inventor Hitoshi Oguri 1-Toshiba-cho, Fuchu-city, Fuchu-shi, Tokyo F-term in the Fuchu factory, Tohoku 5H223 AA01 AA19 BB01 BB08 EE06

Claims (9)

[Claims] 1. At least one type of measured value obtained by a measuring means for measuring a state quantity of a plant, and at least one type of controlled variable handled by a control device for controlling the plant, the correlation between the at least one type of measured value and the at least one type of controlled variable. A facility diagnostic apparatus, wherein a plant combination is extracted to compare the value of the parameter obtained during operation of the plant with the correlation, thereby monitoring the plant. 2. The equipment diagnostic device according to claim 1, wherein the plant includes a control loop including devices controlled by the control device, and a control amount handled by the control device is: The equipment diagnosis device according to any one of claims 1 to 4, wherein the equipment diagnosis device is any one of a state amount in the control loop and a control amount input to the device from the control loop. 3. The equipment diagnosis apparatus according to claim 1, wherein a consistency between a correlation equation derived from the correlation and a value of the parameter obtained during operation of the plant is compared. An equipment diagnostic device for monitoring the plant. 4. The equipment diagnosis apparatus according to claim 3, wherein the correlation equation depends on operating conditions of the plant. 5. The equipment diagnosis device according to claim 3, wherein the correlation equation has an allowable range in which the correlation is considered to be satisfied, and the plant operation is performed. When the value of the parameter obtained during the process deviates from the allowable range, it is determined that some abnormality has occurred in the plant. 6. The equipment diagnosis apparatus according to claim 5, wherein the allowable range is a function that depends on the correlation equation. 7. The equipment diagnosis apparatus according to claim 3, further comprising: a storage unit for storing the correlation equation. 8. The equipment diagnosis apparatus according to claim 5, wherein when it is determined that some abnormality has occurred in the plant, an abnormal event is identified from the comparison result of the consistency. A facility diagnosis apparatus for diagnosing an abnormal event based on a diagnosis rule that defines a relationship between a predetermined and registered abnormal event and an abnormal cause of the abnormal event. 9. At least one kind of measured value obtained by measuring means for measuring a state quantity of a plant, and at least one kind of control quantity handled by a control device for controlling the plant, a correlation of each other. Correlation creating means for extracting a combination of certain parameters, and a value of the parameter obtained during operation of the plant, and a comparison of the consistency with the correlation, and as a result, the value of the parameter and the correlation A process value monitoring means for specifying an abnormal event of the plant when the consistency of the process is not obtained; and, when the consistency between the value of the parameter and the correlation is not obtained as a result of the comparison, Based on the abnormal event specified by the value monitoring unit, the computer is caused to function as a diagnostic unit for diagnosing the abnormal event. Computer readable recording medium recording a program.