JP2001175972A - Abnormality monitoring device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically and suitably perform monitoring work without human aid. SOLUTION: This device is provided with sensors 12-A and 12-B for providing data for supervisory from supervisory object equipment and a computer 14 equipped with a detecting means for detecting abnormality in a supervisory object system on the basis of the result comparing the data for supervisory provided from these sensors 12-A and 12-B with a predetermined threshold value and an alarm output means for outputting an alarm corresponding to the detected result of this detecting means.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an abnormality monitoring device for efficiently and appropriately monitoring an abnormality in a power plant or the like.

[0002]

2. Description of the Related Art Conventionally, in order to detect an abnormality in a power plant or the like, a maintenance person has to go around inspection points and collect data, and make a judgment based on the data.

[0003] However, according to the above-mentioned method, the inspection work requires a huge amount of time and is not efficient. In addition, in nuclear power plants and the like, it is often necessary to pay attention to inspections, and there has been a demand for avoiding manual work.

[0004]

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above-mentioned problems of the conventional abnormality monitoring device and to meet the demand for the abnormality monitoring device.
An object of the present invention is to provide an abnormality monitoring device capable of automatically and appropriately performing monitoring work without manual intervention.

[0005]

An abnormality monitoring apparatus according to the present invention comprises: a sensor for obtaining monitoring data from a monitoring target device;
Detecting means for detecting an abnormality of the monitored system based on a result of comparing the monitoring data obtained from the sensor with a predetermined threshold value, and an alarm output means for outputting an alarm according to the detection result of the detecting means And characterized in that: Thus, abnormality monitoring is performed based on monitoring data obtained from the sensor.

[0006] In the abnormality monitoring device according to the present invention, the number of sensors is one.
A plurality of monitoring target devices are provided. As a result, abnormality monitoring is performed based on monitoring data obtained from a plurality of sensors provided in one monitoring target device.

[0007] The abnormality monitoring apparatus according to the present invention is characterized in that there are a plurality of devices to be monitored. As a result, abnormality monitoring is performed based on monitoring data obtained from sensors provided in a plurality of monitoring target devices.

[0008] The abnormality monitoring device according to the present invention is characterized in that it comprises a threshold creating means for creating a threshold based on monitoring data obtained from the sensor. Thereby, the threshold value is created based on the monitoring data obtained from the sensor.

[0009]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An abnormality monitoring device according to an embodiment of the present invention will be described below with reference to the accompanying drawings. In FIG.
1 shows a configuration diagram of an abnormality monitoring device according to an embodiment of the present invention. This abnormality monitoring device is an example applied to a power plant, in which sensors 12-A, 12-B,... Are installed in power plant components 11-A, 11-B,.
2-A, 12-B,... Are transmitted to a computer (computer) 14 via a network 13. The transmitted result is calculated by computer 1.
In step 4, the threshold value is compared with a preset threshold value (threshold value). If the threshold value is exceeded, an alarm output or the like is issued from the alarm output device 15 and the user is notified.

FIG. 2 shows an internal block diagram of the computer 14 according to the first embodiment. The computer 14 appropriately receives measured values from the sensors 12-A, 12-B,... Of the power plant component devices 11-A, 11-B,. A measurement value reception unit 21 for storing the measurement value data and a measurement value storage unit 22 for storing the measurement value data are provided. The computer 14 includes a threshold input unit 24, a threshold storage unit 23, a comparison unit 25, and an alarm output unit 26. Threshold input section 24
Is constituted by, for example, a keyboard or the like, and is used to input a threshold value for a measured value. The input threshold value is stored in the threshold value storage unit 23. The comparison unit 25 includes the sensors 12 of the power plant components 11-A, 11-B,.
.-A, 12-B,...
2 and the measured value and the threshold value
Is compared with the threshold value, and if the threshold value is exceeded, the alarm output unit 26 is instructed to output an alarm. The alarm output unit 26 drives the alarm output device 15 to generate an alarm and notify the user of the abnormality. The warning is performed by displaying a message including an abnormal part, generating an alarm, and the like.

[0011] The power plant component equipment 11-A is an RHR (Residu
al Heat Removal) pump and the sensor 12-A is R
The operation of the pressure gauge provided at the outlet of the HR pump will be described. This operation is performed in the computer 14 based on the flowchart shown in FIG. First, a threshold value of the outlet pressure of the RHR pump is input to the threshold value input unit 24 and set in the threshold value storage unit 23. Therefore, the comparison unit 25 reads the threshold value of the pressure at the outlet of the RHR pump (S1), and reads the measured value data one after another (S2). The read measurement value and the threshold value are sequentially compared to detect whether the measurement value exceeds the threshold value (S3). When the measured value exceeds the threshold value, the comparing unit 25 outputs the alarm output unit 2
6 is instructed to output an alarm (S4).

As described above, according to the present embodiment, the data transmitted from the sensors installed for the devices and components constituting the power plant are totaled, and the difference between the data and the predefined threshold value is calculated. And a method of detecting the occurrence of abnormality.

Thus, according to the present embodiment, in a nuclear power plant, an RHR pump used for cooling a nuclear reactor measures an outlet pressure using a sensor, and when an outlet pressure drops by a certain amount or more. It is possible to output an alarm.

Next, a description will be given of a second embodiment which employs a method of acquiring a plurality of data from one device and making a failure judgment. FIG. 4 shows a configuration diagram of a method of acquiring a plurality of data from one device and performing a failure determination. A plurality of sensors 12-A1, 12-A2,... Are installed in the power plant component 11-A,
Obtain measured values as appropriate. The results measured for each are:
The measured value is stored in the measured value storage unit 32 as measured value data through the measured value receiving unit 31. On the other hand, a plurality of threshold values for a plurality of measurement values are input from the threshold value input unit 34 and stored in the threshold value storage unit 33.

The computer is provided with a rule input section 38 and a rule storage section 37. The rule input unit 38 is constituted by a keyboard or the like, from which failure determination rule data for a plurality of threshold values is input, and is stored in the rule storage unit 37. The failure determination rule data is data for determining a failure using measurement data obtained from the plurality of sensors 12-A1, 12-A2,... And a threshold value corresponding to each of the measurement data.

Such rule data is, for example, as shown in FIG.
In the example of FIG. 6, whether the outlet pressure is smaller than the threshold 1 or the outlet pressure is larger than the threshold 2 is the first condition. The second condition is whether the flow rate is smaller than the threshold value 3 or whether the flow rate is larger than the threshold value 4. 1st regarding the above outlet pressure
AND of the second condition regarding the satisfaction of the condition and the flow rate is No
1 is the rule data. Further, in addition to this example, the measured value by the first sensor 12-A1 exceeds the corresponding threshold value,
At the same time, rule data is defined to determine that a failure has occurred when the value measured by the second sensor 12-A2 exceeds a threshold value (rule data based on AND logic). Rule data (rule data based on OR logic) that determines that a failure has occurred if the measured value exceeds the corresponding threshold value or the measured value by the second sensor 12-A2 exceeds the threshold value.
Etc. can be defined.

The comparing section 35 compares the measured value from the power plant component with the threshold value stored in the threshold value storing section 33 in advance, and sends it to the alarm output section 36 in accordance with the rule in the rule storing section 37. Then, an alarm output instruction is issued.

The power station component 11-A is an RHR pump, the sensor 12-A1 is a pressure gauge provided at the outlet of the RHR pump, and the sensor 12-A2 is a flow meter provided at the outlet of the RHR pump. The operation will be described for the case of. This operation is performed in the computer 14 based on the flowchart shown in FIG. First, in the threshold value input unit 34, a threshold value of the outlet pressure of the RHR pump and a threshold value of the outlet flow rate are input and set in the threshold value storage unit 33. Further, the measured values from the respective devices are received by the measured value receiving unit 31 and stored in the measured value storage unit 32. On the other hand, in the rule input section 38, R
The rule data for the measurement values obtained from the sensors 12-A1 and 12-A2 for the HR pump is input. The rule data stored in the rule storage unit 37 is data that outputs an alarm when the measured value at the outlet pressure gauge and the measured value from the flow meter simultaneously become abnormal values (FIG. 6). The comparison unit 35 reads the threshold values of the pressure and the flow rate at the outlet of the RHR pump from the threshold value storage unit 33 (S11), reads the corresponding rule data from the rule data storage unit 37 (S12), and n (here, n = 2) sensors 12-
The measured value data is sequentially read from A1, 12-A2 (S13). The read measurement value and the threshold value are successively compared to detect whether the measurement value exceeds the threshold value and whether the measurement value matches the rule data (S14). Here, an alarm is output only when the measured values from the outlet pressure gauge and the flow rate system simultaneously exceed the threshold value, that is, only when the measured values match the rule data (S15).

As described above, the present embodiment is an improvement of the method according to the first embodiment, and adopts a method of acquiring a plurality of data from one device and performing a failure judgment. In other words, a plurality of sensors are installed for one device, and failure determination is performed based on not only one type of data but also a plurality of types of data. The comparison unit 35 compares a plurality of types of data in one device, and uses the result to make a more comprehensive judgment.

In this embodiment in which a plurality of data are obtained from one device to determine a failure, a rule for failure determination is defined in addition to the definition of the threshold value. For example, in one device, the user is notified as abnormal only when the temperature exceeds the threshold value and the pressure exceeds the threshold value. Various types of rule data are applied, for example, a user notification is performed.

FIG. 7 is a block diagram according to the third embodiment. In this embodiment, sensors 12-of a plurality of power plant constituent devices 11 -A, 11 -B,.
A method in which measured values are obtained from A, 12-B,... The results measured by the respective sensors 12 -A and 12 -B are stored in the measured value data storage unit 42 as measured value data via the measured value receiving unit 41. On the other hand, the threshold value input unit 44 is composed of, for example, a keyboard, and is used to input a threshold value for the measured value. The threshold value is stored in the threshold value storage unit 43. The rule input unit 48 is constituted by, for example, a keyboard, and is used for inputting failure determination rule data for the plurality of threshold values. The input rule data is stored in the rule data storage unit 47.

The rule data is data for judging a failure from each threshold value corresponding to a plurality of sensors. For example, the measured value of the first sensor 12-A and the second sensor 12-A
Rule data (rule data based on AND logic) for determining a failure when the measured value of −B exceeds the respective threshold values at the same time is defined. The measured value of the first sensor 12 -A and the second measured value of the second sensor are also defined. Rule data (rule data based on OR logic) or the like for determining a failure when any of the values measured by the sensor 12-2 exceeds the respective thresholds can be defined.

The comparing unit 45 includes the power plant component equipment 11-A,
11-B,... Sensors 12-A, 12-B,.
Is compared with the corresponding threshold value stored in the threshold value storage unit 43 in advance, and an alarm is output to the alarm output unit 46 in accordance with the corresponding rule data in the rule data storage unit 47.

The power plant component 11-A is an RHR pump, the sensor 12-A is a pressure gauge provided at the outlet of the RHR pump, the power plant component 11-B is an RHR waste disposal system, The operation will be described in the case where the sensor 12-B is a sensor that measures the conductivity at the sample point of the RHR waste disposal system. This operation is performed in the computer 14 based on the flowchart shown in FIG. First, in the threshold value input unit 44, R
The threshold value of the pressure at the outlet of the HR pump and the threshold value of the conductivity at the sample point of the RHR waste disposal system are input and set in the threshold value storage unit 43. Furthermore,
When the pressure of the pressure gauge provided at the outlet of the RHR pump exceeds a predetermined threshold value and the measured value of the sensor for measuring the conductivity at the sample point of the RHR waste disposal system exceeds the threshold value. The rule data that the condition is satisfied is input from the rule input unit 48, and is stored in the rule data storage unit 47.

Further, data from the pressure gauge provided at the outlet of the RHR pump and conductivity data at the sample point of the RHR waste treatment system are received by the measured value receiving section 41 at regular intervals, and the measured value is measured. It is stored in the storage unit 42. Therefore, the comparison unit 45 reads the pressure threshold value at the RHR pump outlet and the conductivity threshold value at the RHR waste disposal system sample point (S21), and reads the corresponding rule data in the rule data storage unit 47 (S21). S
22), The measured value data (measured values of n devices) in the measured value data storage unit 42 are read one after another (S23).

The read measured value and the threshold value are sequentially compared to detect whether the measured value exceeds the threshold value and whether the measured value matches the rule data (S24). Here, an alarm is output only when the measured values from the conductivity sensor at the outlet pressure gauge and the sample point of the RHR waste disposal system coincide with the corresponding rule data that the threshold values are simultaneously exceeded (S25).

As described above, the present embodiment employs a method of acquiring a plurality of data from a plurality of devices and determining a failure. In other words, a comparison unit is provided which has sensors for acquiring numerical values to be inspected from each device, integrates the numerical values from these sensors, and compares a preset threshold value with a measured value transmitted from the sensor. Is used to comprehensively judge the comparison result of each device.

In the method described in this embodiment, in which a plurality of data is acquired from a plurality of devices to determine a failure, the rule definition is extended to a plurality of devices. For example, there is a form in which a user notification is performed when the temperature exceeds a threshold value in one device and the pressure exceeds a threshold value in another device.
A failure is determined based on a decrease in the outlet pressure of the R pump and a decrease in the conductivity of the sample point of the RHR waste treatment system. Note that, by combining the configurations of the present embodiment and the second embodiment, a plurality of sensors may be provided for each of a plurality of devices, and an abnormality monitoring device may be configured to obtain a measurement result.

FIG. 9 shows a block diagram according to the fourth embodiment. In this embodiment, a method is adopted in which measured values are obtained from sensors 12-A of a plurality of power plant component devices 11-A, and threshold values are automatically generated based on the measured values. The measurement values measured by the respective sensors 12 -A are configured to be stored in the measurement value data storage unit 52 as measurement value data via the measurement value reception unit 51. In this embodiment, a threshold value generation unit 54 is provided, and the threshold value generation unit 54 calculates a standard deviation based on data obtained by random sampling from measurement value data in the measurement value data storage unit 52. Calculation is performed, and the value of the average value ± σ is stored in the threshold storage unit 53 as threshold data.

The comparing section 55 compares the measured value data from the sensor 12-A of the power plant component equipment 11-A with the threshold value obtained by the threshold value generating section 54 as described above. If the threshold value is exceeded, the alarm output unit 56
To give an alarm output instruction.

In an example in which the power plant component equipment 11-A is an RHR pump and the sensor 12-A is a pressure gauge, processing is performed based on a flowchart as shown in FIG. First, a random number is generated (S31), and data obtained by randomly sampling n pieces of measurement value data from the measurement value data storage unit 52 is read using the random number (S32). Based on this data, the standard deviation is calculated (S33), the value of the average value ± σ is calculated (S34), and stored in the threshold storage unit 53, which is a threshold file, as threshold data. For this, for example, one month (one month before the actual month) based on the measurement value from the pressure gauge provided at the outlet of the RHR pump
Random sampling can be performed, and three times the standard deviation can be used as the threshold. Sampling is performed every month, and the threshold is automatically updated.

In the above embodiment, the threshold value is generated using the 3σ method. The 3σ method is to calculate σ (standard deviation) from the values sampled as described above,
Is a threshold value. The reason for adopting the 3σ method is that 99.73% of the measured value data falls within the range of 3σ from the average value of the measured value data. In this scheme,
It is not necessary for an operator or the like to perform maintenance of the threshold value, and it is possible to define a statistically reliable threshold value. Note that the threshold generation unit 54 in the present embodiment may be applied to the configurations of the second and third embodiments to configure an abnormality monitoring device.

[0033]

As described above, according to the abnormality monitoring apparatus of the present invention, a comparison is made with a predetermined threshold based on monitoring data obtained by a sensor that obtains monitoring data from a monitoring target device. Since the abnormality of the monitored system is detected and the abnormality is monitored, the monitoring work can be automatically and appropriately performed without manual operation.

Further, according to the abnormality monitoring device of the present invention, since the threshold value is created based on the monitoring data obtained from the sensor, it is possible to automatically obtain the actually matched threshold value and perform the monitoring work appropriately. it can.

[Brief description of the drawings]

FIG. 1 is an overall configuration diagram of an abnormality monitoring device according to the present invention.

FIG. 2 is a block diagram of a main part of the abnormality monitoring device according to the first embodiment of the present invention.

FIG. 3 is a flowchart illustrating an operation of the abnormality monitoring device according to the first embodiment of the present invention.

FIG. 4 is a block diagram of a main part of an abnormality monitoring device according to a second embodiment of the present invention.

FIG. 5 is a diagram showing rule data of the above determination used in the abnormality monitoring device according to the second embodiment of the present invention.

FIG. 6 is a flowchart illustrating an operation of the abnormality monitoring device according to the second embodiment of the present invention.

FIG. 7 is a block diagram of a main part of an abnormality monitoring device according to a third embodiment of the present invention.

FIG. 8 is a flowchart illustrating the operation of the abnormality monitoring device according to the third embodiment of the present invention.

FIG. 9 is a block diagram of a main part of an abnormality monitoring device according to a fourth embodiment of the present invention.

FIG. 10 is a flowchart illustrating an operation of the abnormality monitoring device according to the fourth embodiment of the present invention.

[Explanation of symbols]

 11-A, 11-B Power plant components 12-A, 12-A1, 12-A2, 12-B Sensor 13 Network 14 Calculator 15 Alarm output device 21, 31, 41, 51 Measured value receiving unit 22, 32, 42, 52 Measured value storage unit 23, 33, 43 Threshold value storage unit 24, 34, 44, 54 Threshold value input unit 25, 35, 45, 55 Comparison unit 26, 36, 46, 56 Alarm output unit 37, 47 rule storage unit 38, 48 rule input unit 54 threshold value generation unit

 ──────────────────────────────────────────────────続 き Continued on front page F term (reference) 5C087 AA03 AA10 AA19 AA32 BB03 BB74 DD08 DD22 EE06 EE14 FF01 FF04 FF19 GG09 GG18 GG22 GG23 GG31 GG51 5K048 AA05 BA22 DA02 DC04 EB08 EB10 FB04 HA11 HA01

Claims (4)

[Claims] 1. A sensor for obtaining monitoring data from a device to be monitored, detecting means for detecting an abnormality in the system to be monitored based on a result of comparing the monitoring data obtained from the sensor with a predetermined threshold value, An alarm output device for outputting an alarm in accordance with a detection result of the detection device. 2. The abnormality monitoring device according to claim 1, wherein a plurality of sensors are provided for one monitoring target device. 3. The abnormality monitoring device according to claim 1, wherein a plurality of monitoring target devices are provided. 4. The abnormality monitoring device according to claim 1, further comprising a threshold generation unit configured to generate a threshold based on monitoring data obtained from the sensor.