KR20150071069A - 0nline monitoring system of nuclear power generation hydraulic valve using smart sensor - Google Patents

Abstract

The present invention relates to an online monitoring system of a hydraulic valve for nuclear power generation using a smart sensor, and more specifically, relates to an online monitoring system of a hydraulic valve for nuclear power generation using a smart sensor comprising: a sensor set disposed to a turbine system at the secondary side of a nuclear power generator and installed to the hydraulic valve for controlling vapor supplied from a vapor generator; the smart sensor for the diagnosis to discriminate the existence of a defect and the type of the defect in the hydraulic valve using sensor signals received from the sensor set; and a diagnostic server to monitor the state of the hydraulic valve using diagnostic data received from the smart sensor. The present invention enables monitoring for the existence of a defect in the hydraulic valve in real time by diagnosing the occurrence of the defect in the hydraulic valve which controls the inflow and outflow of vapor supplied to a turbine system at the secondary side of a nuclear power generator from a vapor generator. Additionally, the present invention is capable of more accurately diagnosing the occurrence of a defect and the extent of the defect according to the type of hydraulic valve by diagnosing the first occurrence of the defect and determining the type of defect in the hydraulic valve by comparing signal change patterns according to defect types of the hydraulic valve stored preliminarily and change patterns of measurement signals, using measurement signals (sensor signals), and through a second diagnosis for quantifying the extent of the defect while diagnosing again the state of the defect using a dynamic model in case a defect occurs subsequent to the result of the first diagnosis.

Description

An online monitoring system of a nuclear hydraulic valve using a smart sensor. {0NLINE MONITORING SYSTEM OF NUCLEAR POWER GENERATION HYDRAULIC VALVE USING SMART SENSOR}

The present invention relates to an on-line monitoring system for a nuclear hydraulic valve using a smart sensor, and more particularly, to an on-line monitoring system for a nuclear hydraulic valve using a smart sensor, and more particularly, to a DSP (Digital Signal Processing) signal processing process capable of processing large- And more particularly, to an online monitoring system for a nuclear hydraulic valve using a smart sensor for diagnosing the occurrence of defects in a hydraulic valve that controls the flow of steam supplied from a steam generator to a secondary side turbine system using a diagnostic smart sensor.

Hydraulic valves are installed in the turbine system of the secondary side of the nuclear power plant to block or control the inflow of the high-temperature high-pressure steam supplied from the steam generator into the turbine.

Such a turbine hydraulic valve controls the steam valve using a high-pressure hydraulic pressure to rotate the turbine at a rated speed and adjust the amount of steam flowing into the turbine in accordance with the load variation of the generator.

1, a hydraulic valve installed in the turbine system includes a main stop valve 21, a control valve 23, and a low pressure turbine control valve 25, (HPU) for supplying the valve operation control oil and an emergency stop system (ETS) for valve operation control are connected to the hydraulic oil supply facility (HPU) 30 for driving and controlling the hydraulic pressure valve Respectively.

The system also includes a moisture separation reheater 40, a low pressure turbine 60, a high pressure turbine 50, and a generator 70.

Since the hydraulic valve thus configured performs an important function of shutting off or controlling the steam flowing into the turbine, if the valve operation fails in the event of an emergency, or if the valve control operation becomes poor during normal operation, Output failure, etc., resulting in serious personal injury and economic loss.

In a conventional apparatus for diagnosing a hydraulic valve as described above, Japanese Patent Application No. 10-0490125 discloses an apparatus for diagnosing the performance of a hydraulic drive valve mounted on a bench, A touch panel for operating various information; A power supply switch for supplying driving power to the central control panel according to on switching; A power lamp for displaying to the user that driving power is being supplied when the power supply switch is turned on; An amperemeter for displaying a SET value and a display value of the DC current when the solenoid valve of the hydraulic drive valve is disconnected; A PLC error lamp which is turned on in case of an error of a programmable logic controller (PLC) installed inside; An emergency stop lamp for displaying to the user during an emergency stop of the performance diagnostic apparatus; A buzzer for generating a warning sound when an abnormality occurs in the performance diagnostic apparatus, an error of the program logic control unit, or an emergency stop; And a buzzer stop switch for stopping the operation of the buzzer.

However, the conventional performance diagnostic apparatus for diagnosing the performance of the hydraulic valve has a problem in that it can not monitor the presence or absence of a defect in the hydraulic valve in real time, only periodically checking and repairing the hydraulic valve at regular intervals.

Disclosure of Invention Technical Problem [8] Accordingly, the present invention has been made to solve the above problems, and it is an object of the present invention to provide a diagnostic smart sensor based on a DSP (Digital Signal Processing) signal processing process capable of processing large- It is possible to diagnose whether or not a fault has occurred according to a fault type of a hydraulic valve that controls the inflow and outflow of steam flowing from the steam generator to the secondary side turbine system of the nuclear power plant, And the first pattern is used to diagnose the occurrence of defects according to the defect type of the hydraulic valve. When the defect is detected as a result of the first diagnosis, a dynamic model is used A second diagnosis is performed to re-diagnose the defect state and to quantify the degree of defect And an object of the present invention is to provide an on-line hydraulic pressure valve online monitoring system using a smart sensor capable of precisely diagnosing whether or not a defect occurs depending on a defect type of the hydraulic valve.

The above-described object of the present invention can be achieved by a sensor set provided in a hydraulic valve for controlling steam supplied from a steam generator provided in a nuclear power plant secondary turbine system; A smart sensor for diagnosing the presence or absence of a defect in the hydraulic valve and a type of defect using the sensor signal transmitted from the sensor set; And a diagnostic server for monitoring the state of the hydraulic valve using the diagnostic information transmitted from the diagnostic smart sensor. The present invention also provides an online monitoring system for a nuclear hydraulic valve using a smart sensor.

The sensor set may further include: a control hydraulic pressure measuring sensor for measuring a control hydraulic pressure of the hydraulic valve; a driver pressure measuring sensor for measuring a driver pressure of the hydraulic valve; a stem displacement measuring sensor for measuring a stem displacement of the hydraulic valve; And a servo valve current measuring sensor for measuring a current applied to the servo valve included in the hydraulic valve.

The diagnostic smart sensor may further include: a signal adjustment module for adjusting a size of the analog signal input from the sensor set; An AD converter receiving an analog signal whose size is adjusted by the signal adjusting module and converting the analog signal into a digital signal; and a controller for receiving a digital signal from the AD converter and extracting pattern change information of the sensor signal from the digital signal, An MCU module configured to compare the signal pattern information of the valve with the defect pattern of the valve to determine whether a defect has occurred in the hydraulic valve and a type of defect; And a data communication module for receiving diagnosis information from the MCU module and transmitting the diagnosis information to the diagnosis server.

In addition, the evaluation diagnosis unit may determine the presence or absence of a defect in the hydraulic valve and the type of the defect, and if a defect occurs in the hydraulic valve, re-check the defect state of the hydraulic valve using the pre-stored dynamic model and quantify the degree of the defect .

The fault type of the hydraulic valve is characterized by at least one of a leakage defect occurring in the actuator of the hydraulic valve, a spool wear defect, a clogging defect and a bias drift defect of the servo valve included in the hydraulic valve.

As described above, the on-line monitoring system of the nuclear hydraulic valve using the smart sensor according to the present invention utilizes a smart sensor for diagnosis based on a DSP (Digital Signal Processing) signal processing process capable of processing large amounts of data simultaneously measured from sensor sets at high speed It is possible to monitor in real time whether or not a fault has occurred in a hydraulic valve that controls the flow of steam supplied from the steam generator to the secondary side turbine system of the nuclear power plant.

In addition, by using a measurement signal (sensor signal) from a plurality of sensors, it is possible to compare a signal change pattern according to a defect type of a hydraulic valve stored in advance and a change pattern of a measurement signal, And the second diagnosis is performed to quantify the degree of defect by re-diagnosing the defect state using the dynamic model in the case where the defect is detected as a result of the first diagnosis, thereby determining whether the defect is caused by the defect type of the hydraulic valve, It is possible to diagnose the degree of abnormality more precisely.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a hydraulic valve and a hydraulic oil supply system constructed in a general turbine system. FIG.
2 is a configuration diagram of a hydraulic valve to be monitored according to the present invention;
3 is a control block diagram of a hydraulic valve to be monitored according to the present invention;
4 is a block diagram of a sensor set and a smart sensor for diagnosis used in the present invention.
5 is a graph showing signal pattern change information according to a defect type of a hydraulic valve according to the present invention.
6 is a graph showing a process of constructing signal pattern change information for each type of defect of the hydraulic valve according to the present invention.

Hereinafter, an on-line hydraulic pressure valve online monitoring system using a smart sensor according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 2 is a configuration diagram of a hydraulic valve to be monitored according to the present invention, FIG. 3 is a control configuration diagram of a hydraulic valve to be monitored according to the present invention, FIG. FIG. 5 is a graph showing signal pattern change information according to a defect type of a hydraulic valve according to an embodiment of the present invention, FIG. 6 is a graph illustrating the signal pattern change information according to a defect type of a hydraulic valve applied to the present invention .

2 and 3, an on-line monitoring system for a nuclear hydraulic valve using a smart sensor according to the present invention includes a hydraulic valve (not shown) provided in a nuclear power plant secondary side turbine system for controlling steam supplied from a steam generator 20) in real time.

The hydraulic valve 20 monitored by the monitoring system includes an intermittent valve 21a for intermittently controlling the hydraulic valve 20 to be monitored, a packing 21b for connecting the intermittent valve 21a, And a control pack 21e (Control PAC) for controlling the driving of the actuator 21d, and the control pack 21c is connected to the control pack 21c. 21e are provided with a servo valve 21e-1.

The servo valve 21e-1 is operated by an externally supplied valve operation external power source (control current signal) and is supplied from the control oil supply unit (HPU) to the driver 21d of the hydraulic valve 20 The operation of the actuator 21d of the hydraulic valve 20 and the intermittent valve 21a is controlled in accordance with the amount of the hydraulic fluid that is controlled and passed by the servo valve 21e-1, Respectively.

The hydraulic valve 20 is exposed to various defects during the operation of the turbine system of the secondary side of the nuclear power plant and the sensor set 100 is installed on the hydraulic valve 20 and is connected to the hydraulic valve 20 through the sensor set 100, The presence or absence of defects in the substrate is monitored.

At this time, the hydraulic valve 20 is opened by the driver 21d of the hydraulic valve 20, or by the servo valve 21e-1 configured on the hydraulic valve 20, the spool wear, the inner clogging and the bias drift Is monitored in real time.

That is, the types of defects of the hydraulic valve 20 monitored in the present invention are a leakage type defect occurring in the actuator 21d of the hydraulic valve 20, a spool wear of the servo valve 21e-1 formed in the hydraulic valve 20 Defects, clogging defects, and bias drift defects.

4, an on-line monitoring system for a nuclear hydraulic valve using a smart sensor according to the present invention includes a sensor set 100, a smart sensor 200 for diagnosis, and a diagnosis server 300.

The sensor set 100 is installed in a hydraulic valve 20 provided in a secondary side turbine system of a nuclear power plant to control steam supplied from a steam generator 10.

The sensor set 100 is composed of a plurality of sensors and measures the physical signals of the hydraulic valve 20. That is, the plurality of measurement sensors constituting the sensor set 100 sense the sensor signals for diagnosing and evaluating the occurrence of defects according to the defect type of the hydraulic valve 20 through the smart sensor for diagnosis 200, (200).

At this time, the sensor set 100 measures a plurality of physical quantities so that the diagnostic smart sensor 200 diagnoses and evaluates whether or not a defect according to a defect type of the hydraulic valve 20 has occurred.

More specifically, the sensor set 100 includes a control hydraulic pressure measurement sensor 110 for measuring the control hydraulic pressure of the hydraulic valve 20, a driver pressure measurement sensor 120 for measuring the pressure of the driver 21d, A stem displacement measuring sensor 130 for measuring a stem displacement of the hydraulic valve 20 and a servo valve current measuring sensor 130 for measuring a current applied to the servo valve 21e- 140).

The control hydraulic pressure measuring sensor 110 for measuring the control hydraulic pressure of the hydraulic valve 20 is controlled by the control hydraulic pressure or the servo valve 21e-1 flowing into the servo valve 21e-1, And a driver pressure measurement sensor 120 for measuring a pressure of the driver 21d measures a pressure received by the driver 21d by the control oil.

A stem displacement measurement sensor 130 for measuring a stem displacement of the hydraulic valve 20 is installed to measure a change in position of a reciprocating valve stem connected to the hydraulic valve 20, The servo valve current measurement sensor 140 for measuring a current applied to the servo valve 21e-1 is installed to measure a current applied to the servo valve 21e-1 from an external power source for valve operation.

As described above, the sensor set 100 composed of a plurality of measurement sensors is installed in the hydraulic valve 20, and when there are a plurality of hydraulic valves 20 to be monitored, the sensor set 100 composed of the same measurement sensors 100 are equally installed in the respective hydraulic valves 20.

The measurement signals measured by the sensor set 100 are transmitted to the smart sensor 200 for diagnosis and the smart sensor 200 for diagnosis are installed in correspondence with the hydraulic valve 20 on a one-to-one basis.

The diagnostic smart sensor 200 uses the sensor signals input from the sensor set 100 to diagnose whether or not a defect has occurred according to the type of defect of the hydraulic valve 20 by using data signals based on DSP (Digital Signal Processing) And diagnoses whether or not an abnormality has occurred in the hydraulic valve 20 by using a predetermined diagnostic method.

More specifically, the diagnostic smart sensor 200 determines whether or not a defect has occurred in the hydraulic valve 20 and a type of a defect by using measurement signals input from a plurality of measurement sensors constituting the sensor set 100 And the second diagnosis is performed by using the dynamic model to re-check the defect state and quantify the degree of the defect when the defect is generated as a result of the first diagnosis.

The primary diagnosis is performed by comparing the signal pattern change information for each defect type of the hydraulic valve 20 stored in advance with the measurement signal (sensor signal), and the secondary diagnosis is performed using a previously stored dynamic model.

The smart sensor 200 for diagnostics includes a micro controller unit (MCU) module 220 including a signal control module 210, an AD converter 221 and an evaluation diagnosis unit 223, Module 230, and may further include a display module (not shown).

The signal adjustment module 210 adjusts the magnitude of the analog signal measured by the plurality of measurement sensors constituting the sensor set 100 and outputs the adjusted analog signal.

The analog signals measured by the plurality of measurement sensors are converted into digital signals by the AD converter 221 constituting the MCU module 220 and then converted into digital signals using the signal pattern change comparison method and the pre- The diagnosis diagnosis unit 223 diagnoses whether or not a defect has occurred according to the defect type of the defect.

At this time, since the magnitude range of the analog signal measured by the measurement sensor is difficult to be directly converted into the digital signal, the signal adjustment module 210 primarily adjusts the -20 V to + 20 V signal from 0 V to +2 V And is input to the MCU module 220.

The MCU module 220 converts the analog signal output from the signal adjustment module 210 into a digital signal and performs a diagnostic evaluation on whether or not a defect has occurred according to the defect type of the hydraulic valve 20 using the digital signal do.

Diagnosis information on the occurrence of a defect according to the defect type of the hydraulic valve 20 evaluated by the MCU module 220 is transmitted to the diagnosis server 300 and the user inputs the hydraulic pressure from the diagnostic smart sensor 200 to the hydraulic valve 20 To a display module (not shown) so as to directly determine whether or not a defect has occurred according to the defect type of the defect.

At this time, each of the diagnostic smart sensors 200 is configured to diagnose and evaluate the occurrence of defects in the corresponding one hydraulic valve 20. That is, the on-line monitoring system of the nuclear hydraulic valve using the smart sensor according to the present invention disperses the occurrence of defects in the respective hydraulic valves 20.

 The AD converter 221 converts the converted analog signals input from the signal adjustment module 210 into digital signals and outputs the digital signals.

That is, the AD converter 221 converts the analog signal in the range of 0V to + 2V output from the signal adjustment module 210 into a digital signal, and outputs the digital signal to the evaluation diagnosis unit 223.

The evaluation diagnosis unit 223 performs diagnostic evaluation on whether or not a defect has occurred according to the defect type of the hydraulic valve 20 by using the digital signal output from the AD converter 221, To the diagnosis server (300).

The evaluation diagnosis unit 223 uses the signal pattern change information and the dynamic model for each defect type of the hydraulic valve 20 stored in advance to evaluate and diagnose the occurrence of defects according to the defect type of the hydraulic valve 20 in a stepwise manner.

The signal pattern information and the dynamic model for each defect type indicate data information and a program stored in a memory (not shown) of the diagnostic smart sensor 200, respectively.

The data related to whether or not a defect has occurred in accordance with the defect type of the hydraulic valve 20 diagnosed and evaluated by the evaluation diagnosis unit 223 is stored in a memory (not shown) and transmitted to the diagnostic server 300 And displayed on the display module (not shown) so that the user can recognize the performance change state in real time.

The result of the diagnostic evaluation by the evaluation diagnosis unit 223 is transmitted to the diagnosis server 300 through the data communication module 230. The data communication module 230 performs data communication with the diagnosis server 300 using an Ethernet communication protocol or a CAN (Controller Area Network) communication protocol or an RS-232 communication protocol.

In addition, the diagnosis by the smart smart sensor 200 can sequentially perform the first diagnosis and the second diagnosis.

First, the measurement signal (digital signal) is received, and the measurement signal is compared with the signal pattern information according to a previously stored defect type to firstly diagnose whether a defect occurs according to the defect occurrence type of the hydraulic valve 20 , And as a result of the primary diagnosis, the measurement signal is compared with the estimated signal estimated in the dynamic model only when a defect occurs, and the secondary diagnosis is performed to reconfirm the defect state of the hydraulic valve 20 and to quantify the degree of defect .

The diagnostic smart sensor 200 compares the signal pattern change information according to the defect type of the hydraulic valve 20 stored in advance and the pattern change information of the measurement signal (sensor signal) It is determined whether or not a defect has occurred according to the defect type of the defect.

More specifically, the analog sensor signals having a magnitude in the range of -20 V to +20 V measured by the sensor set 100 are subtracted from the signal adjusting module 210 in the range of -0 V to +2 V, And is input to the AD converter 221 of the microcomputer 220.

Then, the AD converter 221 of the MCU module 220 converts an analog sensor signal having a size ranging from -0V to + 2V into a digital signal, and then converts the analog sensor signal into a digital signal, to an evaluation diagnosis unit 223 of the MCU module 220 Output.

Then, the evaluation diagnosis unit 223 compares the signal pattern change information for each defect type of the hydraulic valve 20 stored in advance with the digital signal (measurement signal) to determine whether the hydraulic valve 20 is abnormal. That is, the evaluation diagnosis unit 223 obtains the signal pattern change information from the measurement signal, and then compares the signal pattern change information with previously stored signal pattern change information for each type of defect, And the type of defect.

At this time, the signal pattern change information for each defect type of the hydraulic valve 20 is constructed by experiment or experience in advance.

As shown in FIG. 5, in order to construct signal pattern change information for each defect type of the hydraulic valve 20, measurement signals appearing in accordance with occurrence of defects are collected. That is, signals related to the control oil pressure, the actuator pressure, the stem displacement, and the servo valve current appearing for each type of defect of each hydraulic valve 20 are collected.

Then, as shown in FIG. 6, for each signal represented by the defect type of the hydraulic valve 20, the section is divided for each region where the signal pattern changes, and then pattern change information for each section is extracted ,

FIG. 6 shows that the signal change patterns are indicated by arrows in each section.

Then, signal pattern change information of each section for each of the signals is extracted for each type of defect of the hydraulic valve 20 to construct a library. The library thus constructed has signal pattern change information for each defect type of the hydraulic valve 20.

The signal pattern change information for each type of defect of the hydraulic valve 20 stored as described above is compared with the pattern change information of the measurement signal (sensor signal), and the presence or absence of the defect and the defect type of the hydraulic valve 20 are determined .

That is, the evaluation diagnosis unit 223 divides the interval in which the signal pattern changes with respect to the input measurement signal, and extracts a signal variation pattern for each interval. And then compares the extracted change pattern of the measurement signal with the signal pattern change information for each defect type of the hydraulic valve 20. [

As a result of the comparison, when there is the same specific pattern information as the change pattern of the measurement signal in the signal pattern change information for each defect type, it is determined that a defect related to the defect type corresponding to the specific pattern information has occurred, It is judged that it has not occurred.

The defect type of the hydraulic valve 20 according to the result of the comparison is determined based on a leakage defect generated in the actuator 21d of the hydraulic valve 20 and a spool wear of the servo valve 21e- And may be at least one of a defect, a clogging defect, and a bias drift defect.

In order to determine whether or not a defect has occurred according to the defect type of the hydraulic valve 20 according to the comparison, the defect type-specific signal pattern change information constructed in the library is generated in the driver 21d of the hydraulic valve 20 A leakage defect, a spool wear defect of the servo valve (21e-1) included in the hydraulic valve (20), a clogging defect, and a signal drift defect.

As described above, the diagnostic smart sensor 200 compares the pattern change information of the measurement signal with the signal pattern change information according to the type of defect of the hydraulic valve 20 stored in advance, so that the defect according to the defect type of the hydraulic valve 20 If it is determined that the defect has occurred, the defect diagnosis is performed by using the previously stored dynamic model to quantify the degree of defect.

Such a second diagnosis is performed by using a previously stored dynamic model. Such a dynamic model can be constructed by various modeling techniques, and an estimated signal that can be compared with a measurement signal (sensor signal) And if the degree of defect can be quantified, it can be utilized as the dynamic model of the present invention.

Meanwhile, since the secondary diagnosis according to the present invention is for reconfirming and quantifying the defect state of the hydraulic valve 20, if it is already diagnosed whether or not a defect is caused by the defect type of the hydraulic valve 20 by the primary diagnosis, Can be omitted. That is, in the smart sensor 200 for diagnosis according to the present invention, only the first diagnosis can be performed and both the first diagnosis and the second diagnosis can be performed.

At this time, the dynamic model for diagnosis of the hydraulic valve 20 is obtained by mathematically modeling the operating characteristics of the servo valve 21e-1, the uniaxial valve 21a, the driver 21d, etc. constituting the hydraulic valve system 20 Is a model for estimating the behavior of the hydraulic valve (20) and comparing the measured state with the measured signal to diagnose the type of defect and the degree of defect. Such a dynamic model can be modeled by setting it under the following conditions.

1) The servo valve 21e-1 performs the modeling with a secondary system composed of the mass of the spool, the spool supporting spring, and the damping by the operating oil between the spool and the inner surface of the compartment.

2) It is assumed that the magnitude of the external force applied to the spool is proportional to the magnitude of the current input to the servo valve 21e-1.

3) The control oil enters the cylinder of the actuator 21d through the servo valve 21e-1 or exits from the cylinder of the actuator 21d to the oil tank.

4) The position of the hydraulic valve 20 is determined by the equilibrium equation of the force components acting on the stem of the hydraulic valve 20.

A process of diagnosing the hydraulic valve 20 using a dynamic model modeled under such conditions will be described as follows.

When the control signal is input to the modeled dynamic model, the stem displacement and the pressure signal of the driver 21d are estimated by a model operation, and the estimated signal is compared with the measurement signal (sensor signal).

When an error occurs between the estimation signal and the measurement signal (sensor signal) as a result of comparison, the error information is fed back to the dynamic model to recalculate the parameters for defect diagnosis.

If the error is within the permissible range, the type of defect and the degree of quantitative defect are determined using the defect diagnosis parameter information.

However, if the error exceeds the error tolerance range, the diagnostic parameters are tuned and then input to the dynamic model again, the output signal is re-estimated, and the estimated signal is compared with the measured signal and re-evaluated.

Such a process is repeatedly performed until the error between the measured signal and the estimated signal is repeatedly estimated until the error exists within the allowable range to determine the defect type and the degree of quantitative defect.

Through the above-described process, the secondary diagnosis can be performed. By this secondary diagnosis, the defect state of the hydraulic valve 20 can be reconfirmed and the degree of defect can be quantified.

If the diagnostic smart sensor 200 is configured to only perform the first diagnosis, the diagnostic smart sensor 200 may send a diagnosis result to the diagnosis server 300 as to whether a defect has occurred according to the defect type of the hydraulic valve 20, That is, whether or not a fault has occurred in the hydraulic valve 20 and the type of fault occurrence, to the diagnosis server 300.

If the diagnostic smart sensor 200 is configured to perform the primary diagnosis and the secondary diagnosis in order, the smart sensor 200 for diagnosis is connected to the diagnosis server 300 according to the type of defect of the hydraulic valve 20 That is, whether or not a defect has occurred in the hydraulic valve 20 and the type of defect occurrence and the quantification data of the degree of defect.

Therefore, the results diagnosed by the smart smart sensor 200 are transmitted to the diagnostic server 300 and the diagnostic server 300 transmits the diagnosis result to the hydraulic valve 20 ) Are monitored remotely and comprehensively.

The on-line monitoring system of the nuclear hydraulic valve using the smart sensor according to the present invention having the above-described configuration can be applied to a DSP (Digital Signal Processing) signal capable of processing large- It is possible to diagnose in real time whether a fault has occurred in the hydraulic valve 20 that controls the flow of steam supplied from the steam generator 10 to the secondary side turbine system of the nuclear power plant using the diagnostic smart sensor 200 based on the processing process, 20) can be monitored in real time.

Also, by using a measurement signal (sensor signal) from a plurality of sensors, it is possible to compare the signal pattern of the defective type of the hydraulic valve 20 stored in advance with the pattern of change of the measurement signal, In the case where a defect is detected as a result of the first diagnosis, a defect is diagnosed using a dynamic model, and at the same time, a second diagnosis is performed to quantify the degree of defect so that the defect type of the hydraulic valve 20 It is possible to more accurately diagnose whether or not the defect is caused by the defect.

While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the above description does not limit the scope of the present invention, which is defined by the limitations of the following claims.

10: Steam generator 20: Hydraulic valve
21: Main stop valve 21a: Intermittent valve
21b: packing 21c: spring
21d: driver 21e: control pack
21e-1: Servo valve 23: Control valve
25: Combined low-pressure turbine control valve 30: Control oil supply equipment
40: Moisture separator 50: High pressure turbine
60: Low pressure turbine 70: Generator
100: Sensor set 110: Controlled fluid pressure measurement sensor
120: Actuator pressure measuring sensor 130: Stem displacement measuring sensor
140: Servo valve current measurement sensor 200: Smart sensor for diagnosis
210: signal adjustment module 220: MCU module
221: AD converter 223:
230: Data communication module 300: Diagnostic server

Claims (5)

A sensor set installed in a hydraulic valve provided in a turbine system of a secondary side of a nuclear power plant to control steam supplied from a steam generator;
A smart sensor for diagnosing the presence or absence of a defect in the hydraulic valve and a type of defect using the sensor signal transmitted from the sensor set; And
A diagnostic server for monitoring the state of the hydraulic valve using diagnostic information transmitted from the smart sensor for diagnosis;
An on-line monitoring system of a nuclear hydraulic valve using a smart sensor.
The method according to claim 1,
The sensor set includes:
A control pressure sensor for measuring a control hydraulic pressure of the hydraulic valve, a driver pressure sensor for measuring a driver pressure of the hydraulic valve, a stem displacement measuring sensor for measuring a displacement of the stem of the hydraulic valve, And a servovalve current measuring sensor for measuring a current applied to the servo valve. The on-line monitoring system of a nuclear hydraulic valve using a smart sensor.
3. The method of claim 2,
The smart sensor for diagnosis,
A signal adjustment module for adjusting the size of the analog signal input from the sensor set;
An AD converter receiving an analog signal whose size is adjusted by the signal adjusting module and converting the analog signal into a digital signal; and a controller for receiving a digital signal from the AD converter and extracting pattern change information of the sensor signal from the digital signal, An MCU module configured to compare the signal pattern information of the valve with the defect pattern of the valve to determine whether a defect has occurred in the hydraulic valve and a type of defect; And
A data communication module for receiving diagnostic information from the MCU module and transmitting the diagnostic information to the diagnosis server;
Wherein the smart sensor is used to monitor the operation of the plant.
The method of claim 3,
The evaluation diagnosis unit
Wherein when a fault occurs in the hydraulic valve after determining the presence or absence of a defect of the hydraulic valve and a type of the defect, the defect state of the hydraulic valve is re-confirmed using the pre-stored dynamic model and the degree of defect is quantified. Online monitoring system of nuclear hydraulic valve using.
The method according to claim 1,
Wherein the fault type of the hydraulic valve is at least one of a leakage defect occurring in the actuator of the hydraulic valve and a spool wear defect, a clogging defect and a bias drift defect of the servo valve included in the hydraulic valve. Online monitoring system of nuclear hydraulic valve using.

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