KR101399486B1 - abnormality diagnostic system for nuclear power plant using smart sensor - Google Patents

Abstract

[0001] The present invention relates to a system for diagnosing an abnormality of a nuclear power plant using a smart sensor, and more particularly, And a state diagnostic experience model capable of diagnosing whether or not an abnormality exists in the monitoring target devices is mounted on the diagnostic smart sensor and a DSP based signal processing process is applied for high speed data processing, It is possible to monitor the real-time change state by processing the measurement signals of the measurement sensors installed on the monitoring target devices at a high speed and distribute the diagnostic evaluation related to the abnormal status of the respective monitoring target devices, To reduce the load required for diagnostic evaluation operations The present invention relates to a system for diagnosing an abnormal state of a nuclear power plant using a smart sensor.
The configuration means constituting the abnormality diagnosis system for a nuclear power plant using the smart sensor according to the present invention includes a sensor set installed in each of the secondary apparatuses of nuclear power plants, A smart sensor for diagnosing and diagnosing the abnormal state of the devices in real time and a diagnosis for monitoring the abnormality status of the secondary devices of the nuclear power plant using the diagnosis evaluation results of the respective monitoring target devices input from the smart sensor for diagnosis Wherein the diagnostic smart sensor includes a signal adjustment module for adjusting the magnitude of an analog signal measured by a plurality of measurement sensors constituting the sensor set and outputting the signal, Analog output from module An MCU module for converting a log signal into a digital signal and diagnosing and evaluating an abnormal state with respect to each of the devices using the digital signal, and a controller for generating and supplying a DC power required by the signal control module and the MCU module And a power supply module.

Description

[0001] The present invention relates to an abnormality diagnostic system for a nuclear power plant using a smart sensor,

[0001] The present invention relates to a system for diagnosing an abnormality of a nuclear power plant using a smart sensor, and more particularly, And a state diagnostic experience model capable of diagnosing whether or not an abnormality exists in the monitoring target devices is mounted on the diagnostic smart sensor and a DSP based signal processing process is applied for high speed data processing, It is possible to monitor the real-time change state by processing the measurement signals of the measurement sensors installed on the monitoring target devices at a high speed and distribute the diagnostic evaluation related to the abnormal status of the respective monitoring target devices, To reduce the load required for diagnostic evaluation operations The present invention relates to a system for diagnosing an abnormal state of a nuclear power plant using a smart sensor.

The secondary side of the nuclear power plant consists of various devices such as MSV, CV, high pressure turbine, low pressure turbine, moisture separator, and generator. These devices are equipped with various sensors such as temperature, pressure, flow rate, vibration, current and voltage for status monitoring.

At the present nuclear power plant, the signals measured by these sensors are used to control the operation or to issue a warning or trip operation. The warning or trip operation mainly uses the upper and lower limit threshold setting information defined by the user.

Such a conventional general method can prevent serious accidents, but the damage is already proceeding in the process of reaching the upper limit and lower limit, and therefore, there is a problem that measures such as replacement or maintenance are required in the end.
A surveillance system for an existing nuclear device is disclosed in the prior art document (Korean Patent Registration No. 10-0798006, Integrated monitoring and diagnosis method of nuclear equipment and system using the same).

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems of the prior art, and it is an object of the present invention to provide a diagnostic smart sensor corresponding to each monitoring target device, And a state diagnostic experience model capable of diagnosing whether or not an abnormality exists in the monitoring target devices is mounted on the diagnostic smart sensor and a DSP based signal processing process is applied for high speed data processing, It is possible to monitor the real-time change state by processing the measurement signals of the measurement sensors installed on the monitoring target devices at a high speed and distribute the diagnostic evaluation related to the abnormal status of the respective monitoring target devices, Which can reduce the load required for diagnostic evaluation operations To provide a nuclear device abnormality diagnosis system using the agent sensor for that purpose.

In addition, since it is possible to monitor in real time whether or not an abnormality of the nuclear equipment is present, it is necessary to check the abnormality before the damage of the nuclear equipment occurs, to quickly fix the cause of the abnormality or failure, The present invention has been made in view of the above problems,

In order to solve the above-described problems, the constituent unit of the nuclear power plant abnormality diagnosis system using the proposed smart sensor according to the present invention comprises a sensor set respectively installed in nuclear power secondary units, a plurality of measurement sensors And a diagnostic smart sensor for diagnosing and evaluating the abnormality status of each of the monitoring target devices in real time using the signals input from the smart sensor and the diagnostic evaluation results of the respective monitoring target devices inputted from the diagnostic smart sensor, And a diagnosis server for monitoring whether or not the state of the sensor is abnormal, wherein the smart sensor for diagnostics comprises: a controller for adjusting the size of the analog signal measured by the plurality of measurement sensors constituting the sensor set; The signal adjustment output An MCU module for converting an analog signal output from the signal adjustment module into a digital signal and diagnosing and evaluating an abnormal state for each of the devices using the digital signal; And a power supply module for generating and supplying DC power.

Here, the signal adjustment module reduces the size of each analog signal input from the measurement sensors constituting the sensor set and outputs the reduced analog signal to the MCU module, and selectively adjusts the number of channels according to the control signal of the MCU module .

Here, the signal conditioning module can process up to 16 channels, and the analog signal inputted through each channel has a size ranging from -20V to + 20V, and the analog signal is adjusted to a range of 0V to + 2V And outputting the result.

The MCU module includes an AD converter for converting the analog signals input from the signal adjustment module into digital signals and outputting the digital signals, an empirical model for diagnosing an abnormality of the device using the digital signal output from the AD converter, And a control unit for performing signal processing based on a data communication unit and a DSP for transmitting abnormality data diagnosed by the experience diagnostic experience model to the diagnosis server and controlling components inside and outside the MCU module, .

Here, the data communication unit performs data communication with the diagnosis server using an Ethernet communication protocol, a CAN communication protocol, or an RS-232 communication protocol.

Here, the data transmitted to the diagnosis server by the data communication unit includes time information.

Here, the state-of-experience model may be used to diagnose an abnormality of the monitored device by using a correlation between signals measured by the measurement sensors.

The diagnostic smart sensor further includes a display module that displays in real time whether the device diagnosed and diagnosed by the MCU module is in an abnormal state.

The monitoring target device may include at least one of a valve, a bearing, a high-pressure turbine, a low-pressure turbine, a generator, and a moisture separator.

According to the present invention, there is provided a system for diagnosing an abnormality of a nuclear power plant abnormality using a smart sensor, comprising: a smart sensor for diagnosis corresponding to each monitoring target device; The system is equipped with an empirical model for diagnosing status of the target devices to be diagnosed, and DSP-based signal processing for high-speed data processing. It is possible to monitor the real-time change state by processing the measurement signals of the measurement sensors installed in the corresponding monitored devices at a high speed, and to perform the diagnostic evaluation related to the abnormal state with respect to each of the monitored devices, And a diagnostic evaluation calculation There is an advantage in that the load required for the operation can be reduced.

In addition, since it is possible to monitor in real time whether an abnormality of a nuclear device is abnormal, it is necessary to confirm whether or not an abnormality occurs before a failure occurs in the nuclear device, quickly repair the cause of abnormality or failure, There is an advantage to be able to do.

Further, according to the present invention, since the diagnostic smart sensor allocates the time information to each output signal and then transmits it to the diagnostic server, the diagnostic server can synchronize the input signals using the time information, There is an advantage that accurate diagnosis can be performed on the server.

FIG. 1 is a block diagram of an entirety of a nuclear power plant abnormal state diagnosis system using a smart sensor according to an embodiment of the present invention.
2 is a block diagram of a unit configuration block diagram of a system for diagnosing an abnormal state of a nuclear power plant using a smart sensor according to an embodiment of the present invention.
3 is a detailed configuration diagram of a smart sensor for diagnosis, which is a core component of the abnormality diagnosis system for a nuclear power plant using a smart sensor according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of a nuclear power system abnormality diagnosis system using the smart sensor of the present invention having the above-described problems, solutions and effects will be described in detail with reference to the accompanying drawings.

It is to be understood that the terminology or words used herein are not to be construed in an ordinary sense or a dictionary, and that the inventor can properly define the concept of a term to describe its invention in the best possible way And should be construed in accordance with the meaning and concept consistent with the technical idea of the present invention.

FIG. 1 is a block diagram of an entirety of a nuclear power plant abnormal state diagnosis system using a smart sensor according to an embodiment of the present invention.

As shown in FIG. 1, the system for diagnosing a nuclear device abnormality state using a smart sensor according to an embodiment of the present invention corresponds to a surveillance system for a plurality of monitored devices 10 corresponding to nuclear plant secondary facilities. Each of the plurality of monitored devices 10 is provided with sensor sets 20 constituted by a plurality of sensors. That is, each of the sensor sets 20 is installed in the nuclear secondary equipment.

Each of the monitored devices 10 and each of the sensor sets 20 is connected in a one-to-one relationship. Therefore, each of the monitored devices 10 is provided with a plurality of measurement sensors constituting the sensor set 20. The measurement sensors are installed in the monitored devices 10 to measure physical quantities such as temperature, pressure, flow rate, vibration, current, and voltage.

Each of the sensor sets 20 is connected in a one-to-one manner to the smart sensor 100 for diagnosis, which is a core component of the present invention. Therefore, the analog signals measured by the plurality of measurement sensors constituting the sensor set 20 are input to the smart sensor 100 for diagnosis.

The diagnostic smart sensor 100 connected to the sensor set 20 in a one-to-one manner receives signals from the plurality of measurement sensors constituting the sensor set 20, Diagnosis and evaluation. As a result, it is a principle that each of the diagnostic smart sensors 100 diagnoses and evaluates abnormality status in real time only for the monitored device 10. However, in some cases, the diagnostic smart sensor 100 may be configured to diagnose and evaluate at least two abnormalities with respect to the monitored device.

The evaluation result of the diagnostic smart sensor 100 is transmitted to the remote diagnosis server 30. Therefore, the diagnostic server 30 receives evaluation results related to the abnormal state from each diagnostic smart sensor 100. [ That is, the diagnosis server 30 comprehensively monitors whether or not the secondary side devices of the nuclear power plants are abnormal, using the diagnostic evaluation results of the respective monitoring target devices input from the diagnostic smart sensor 100. Therefore, before each target device is damaged, it can be checked whether it is abnormal, so that the failure or abnormal state can be restored to the normal state early.

As described above, the nuclear plant abnormal state monitoring system according to the present invention includes a sensor set 20 (corresponding to the specific monitored device 10) for diagnosing and monitoring the abnormal state of the specific monitored device 10, ), And a smart sensor 100 for diagnosis.

FIG. 2 is a block diagram illustrating a configuration of a single smart sensor 100 for diagnosis and a smart sensor 100 for diagnosis in order to monitor one specific monitored device 10, And a diagnostic server 30 receiving the output of the diagnostic server 30.

The sensor set 20 refers to a set of a plurality of measurement sensors installed in a specific monitoring target device 10. The analog signals measured by the plurality of measurement sensors are input to the diagnostic smart sensor 100 connected to the sensor set 20 on a one-to-one basis.

The diagnostic smart sensor 100 includes a signal conditioning module 110, a microcontroller unit (MCU) module 130, and a power supply module 170, as shown in FIG. 2 And may further comprise a display module 150.

The signal adjustment module 110 adjusts the size of the analog signal measured by the plurality of measurement sensors 21 constituting the sensor set 20 and outputs the adjusted analog signal. As will be described later, the analog signals measured by the plurality of measurement sensors 21 are converted into digital signals by the MCU module 130, and then input into an experience model for state diagnosis. Since the magnitude range of the analog signal measured by the measurement sensor 21 is difficult to be directly converted into a digital signal, the amplitude of the analog signal is firstly adjusted through the signal adjustment module 110, 130).

The analog signal adjusted and output by the signal adjustment module 110 is input to the MCU module 130. The MCU module 130 converts an analog signal output from the signal adjustment module 110 into a digital signal, and diagnoses and evaluates whether or not the digital signal is abnormal for each of the devices.

The diagnostic evaluation data related to the abnormality status of the monitoring target device evaluated by the MCU module 130 is transmitted to the diagnosis server 30 and the user can directly detect the abnormality change of the monitoring target devices in the diagnostic smart sensor 100 And is transmitted to the display module 150 for confirmation.

The signal conditioning module 110, the MCU module 130, and the display module 150 must be supplied with DC power to be driven. Therefore, the smart sensor 100 for diagnosis needs to be provided with the power supply module 170.

However, the signal conditioning module 110, the MCU module 130, and other ICs often need different power sources in order to operate them. Accordingly, the power supply module 170 generates a DC power of +20 V, +15 V, +12 V, +5 V, +3.3 V, +2.048 V and -15 V by using the LM2576 switching regulator, Supply.

Each of the diagnostic smart sensors 100 described above is configured to diagnose and evaluate the performance of the corresponding one of the monitored devices in principle. That is, the abnormality monitoring system for nuclear equipment according to the present invention adopts a method of distributing diagnostic evaluations related to abnormality status of each monitoring target device.

3 is a block diagram showing the detailed components of the diagnostic smart sensor 100 applied to the present invention.

3, the signal adjustment module 110 reduces the size of each analog signal input from the measurement sensors 21 constituting the sensor set 20 and outputs the reduced analog signal to the MCU module 130 Output. Most measurement sensors output -20V to + 20V signals, which are difficult to convert directly to digital signals. Therefore, the signal conditioning module 110 uses an OP-Amp circuit for converting the output of the measurement sensors from 0V to + 2V, and the output signal is supplied to the corresponding Port.

The signal adjustment module 110 adjusts the size range of a plurality of channel signals, that is, an analog signal input from the plurality of measurement sensors 21, and outputs the adjusted range. That is, a voltage magnitude range for a plurality of channel signals is adjusted and output.

However, the signal adjustment module 110 may adjust the size range of the analog signal with respect to all of the channels, or may adjust the size range of the analog signal only for the specific channels.

Therefore, the number of channels processed in the signal adjustment module 110 is selectively adjusted. That is, the signal adjustment module 110 selectively adjusts the number of channels processed according to the control signal of the MCU module 130.

Specifically, the MCU module 130 receives a signal whose signal level is adjusted by the signal adjustment module 110.

The signal conditioning module 110 may process 16 channels. Therefore, the diagnostic smart sensor 100 according to the present invention can use a total of 16 channels in order to process the analog signal of the measurement sensor. However, if the external signal conditioning module 110 is separately mounted on the smart sensor 100 for diagnosis, more channels may be used.

The analog signal input through each channel has a size ranging from -20V to + 20V, and the analog signal is adjusted to a range of 0V to + 2V through the signal adjustment module 110 and output.

Meanwhile, the signal adjustment module 110 adjusts the magnitude of the analog signal input through the input channel using the reference voltage set in the first diagnostic smart sensor 100, and outputs the adjusted analog signal. If the external signal conditioning module is additionally mounted on the diagnostic smart sensor 100 to increase the channel, since the external signal conditioning module includes the AD converter function, the analog signal reduced in the module is converted into an external AD Converter to digital data, and then transmits and receives data to and from the MCU module 130 through a 16-bit data bus.

The analog signal whose voltage magnitude is adjusted by the signal adjustment module 110 is input to the MCU module 130. 3, the MCU module 130 includes an AD converter 131, an empirical model 133 for status diagnosis, a data communication unit 135, and a control unit 137.

The AD converter 131 converts the analog signals input from the signal adjustment module 110 into digital signals and outputs the digital signals. That is, the AD converter 131 converts the analog signal in the range of 0V to + 2V outputted from the signal adjustment module 110 into a digital signal and outputs it to the state diagnostic experience model 133.

The state-of-experience model 133 uses the digital signal output from the AD converter 131 to diagnose whether or not the device is in an abnormal state, and outputs diagnostic evaluation data related to the abnormal state as a result value. The state-of-experience model 133 refers to a program stored in a memory (not shown) of the smart sensor 100, and the evaluation method differs depending on the device to be monitored.

The state-of-experience-for-experience model 133 diagnoses and evaluates the abnormality of the monitored device using the correlation of the signals measured by the measurement sensors. Specifically, a plurality of analog signals from the measurement sensors are input to the AD converter 131 in a state that the size of the analog signal is reduced by the signal adjustment module 110, and converted into a digital signal by the AD converter 131 When a plurality of measurement sensor signals are input to the state model for experience diagnosis 133, the state model for experience diagnosis 133 diagnoses and evaluates whether or not each apparatus is abnormal based on the correlation of the plurality of digital signals.

Evaluation data related to the abnormal state evaluated by the state-of-experience-for-experience model 133 is stored in a memory (not shown) and transmitted to the higher-level diagnostic server 30 at the same time, And is transmitted to the display module 150 and displayed.

That is, evaluation data related to the abnormal state diagnosed by the state experience diagnostic experience model 133 is transmitted to the diagnosis server 30. The evaluation data related to the abnormal state is transmitted to the diagnosis server 30 by the data communication unit 135 of the MCU module 130. Also, it is transmitted to the display module 150 so that the user can check the status change related to the abnormality of the monitoring target device, and is also stored in the memory (not shown).

The data communication unit 135 performs data communication with the diagnosis server 30 using an Ethernet communication protocol or a CAN (Controller Area Network) communication protocol or an RS-232 communication protocol. At this time, the data transmitted to the diagnosis server 30 by the data communication unit 135 includes time information. That is, the data communication unit 135 transmits the diagnosis evaluation data related to the abnormality status output from the experience diagnostic experience model 133 including time information to the diagnosis server. When the diagnosis server 30 receives diagnostic evaluation data related to an abnormal state from a plurality of diagnostic smart sensors 100, it synchronizes the data input from each of the diagnostic smart sensors 100, .

Specifically, the data communication unit 135 is configured using at least one of an Ethernet communication unit, a CAN communication unit, and an RS-232 communication unit. The Ethernet communication unit is used to send or receive a large amount of data from the diagnostic smart sensor 100 to a component unit, a higher-level group unit, or a diagnosis server. The communication speed is up to 29Mbps at the same time up / down to 100Mbps Link in LoopBack test.

The CAN communication unit is a component for transmitting control signals and data independently from various peripheral devices and for using the CAN communication unit as a preliminary communication network. The CAN communication unit uses the SN65HVD235, which is a CAN transceiver, and is a 1: N communication method in which a plurality of devices can be connected to one node. The CAN communication unit has a communication speed of up to 1 Mbps and is resistant to electric noise around the CAN.

The RS-232 communication unit is a component for monitoring and controlling the operation status of the smart sensor for diagnosis or for mutual communication with other devices supporting the same communication protocol, and using the MAX232, a Multichannel RS-232 Line Driver / Receiver Configures 2 channels of RS-232 communication. Such a communication method is a 1: 1 communication method, and a communication speed is 115200 bps.

The components constituting the MCU module 130 described above are controlled by the control unit 137. That is, the control unit 137 performs internal and external signal processing based on a DSP (Digital Signal Processing), and controls internal and external components of the MCU module 130.

Specifically, the controller 130 controls the analog signal measured by the measurement sensor so that the voltage level can be adjusted by the signal adjusting module, controls the analog signal to be converted from the AD converter to a digital signal, A digital signal is input to the state model for state diagnosis so that the diagnosis evaluation data related to the abnormal state of the devices can be calculated and the diagnosis evaluation data can be transmitted to the diagnosis server through the data communication unit. The controller uses the TMS320F28335 DSP (Digital Signal Processor) of TI (Texas Instrument) to perform high-speed data operation processing in the smart sensor for diagnosis and all peripheral device control functions.

The MCU module 130 described above may further include additional components.

The SD (Secure Digital) card processing unit is used to store a large amount of data received by the MCU module, and is connected to the MCU module through the SPI interface. The SD card insertion check function and lock function can be detected, and related status can be displayed by LED.

The external memory processor is a component that connects to the external memory and temporarily stores signals (ADC, communication, operation result data, etc.) received from the MCU module. It is connected to the MCU module and 16Bit Data BUS, and the total capacity is 4MByte .

MCU IO / Core power supply unit is a component for inputting 1.9V of core power and 3.3V of I / O power to MCU module by using TPS767D301 IC, separating analog power and digital power into ferrite beads, Noise input can be suppressed as much as possible.

The node selection processor is a component for giving a unique identification number to each of the smart sensors. When a plurality of programs are embedded in the diagnostic smart sensor, a program to be operated in the MCU module may be determined according to the unique identification number.

The MCU clock oscillation generator is a component to operate the MCU module by supplying 30MHz clock. The 30MHz clock supplied from the external oscillator is 10 times faster than the PLL circuit inside the MCU module. Then, the operating speed of the MCU module is increased to 150 MHz again by two times.

The time information counted by the 32-bit timer counter in the MCU module is a component for measuring the actual time, and is a component for including the time data in the signal received in the MCU module or the result of the operation. The time information may be included in the anomaly diagnosis data to be transmitted to the diagnosis server using the time information of the real time counter.

As described above, the diagnostic smart sensor 100 may further include a display module 150 that displays status changes related to whether or not the device diagnosed and diagnosed by the MCU module 130 is abnormal, in real time . Therefore, the user can recognize the abnormal state change of the monitored devices in real time through the smart sensor 100 for diagnosis.

The abnormality diagnosis system using the smart sensor including the smart sensor for diagnosis described above is related to the monitoring system for various facilities of the secondary side of the nuclear power plant. Accordingly, each of the diagnostic smart sensors 100 can be connected in one-to-one manner to various facilities of the secondary side of the nuclear power plant, and the performance change state of the monitored target device can be evaluated in real time.

The monitoring target devices corresponding to the nuclear plant secondary facilities include at least one of vertical valves, a bearing, a high-pressure turbine, a low-pressure turbine, a generator, and a moisture separator. When monitoring is performed for all of the devices to be monitored, a diagnosis smart sensor corresponding to each device to be monitored is provided to distribute diagnoses related to the abnormal state to the device to be monitored.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, Is also within the scope of protection of the present invention.

10: Monitoring target device 20: Sensor set
21: measurement sensor 30: diagnostic server
100: Smart sensor for diagnosis 110: Signal conditioning module
130: MCU module 131: AD converter
133: Experience diagnosis model 135: Data communication part
137: controller 170: power supply module

Claims (9)

A smart sensor for diagnosing in real time whether or not an abnormality of each of the monitoring target devices is diagnosed by using signals input from a plurality of measurement sensors constituting the sensor set, A system for diagnosing an abnormality of a nuclear equipment abnormality state using a smart sensor, comprising a diagnosis server configured to comprehensively monitor whether an abnormality of a nuclear power plant secondary apparatus is abnormal by using a diagnostic evaluation result of each monitored apparatus input from a sensor ,
The smart sensor for diagnosis,
A signal adjustment module for adjusting the size of the analog signal measured by the plurality of measurement sensors constituting the sensor set and outputting the adjusted analog signal, and a controller for converting the analog signal output from the signal adjustment module into a digital signal, And a power supply module for generating and supplying DC power required by the signal conditioning module and the MCU module,
Wherein the signal conditioning module reduces each analog signal having a magnitude ranging from -20V to + 20V from the measurement sensors constituting the sensor set to a magnitude ranging from 0V to + 2V and outputs the reduced analog signal to the MCU module, 16 channels, and the number of channels is selectively adjusted according to the control signal of the MCU module,
Wherein the MCU module comprises: an A / D converter for converting an analog signal input from the signal adjustment module into a digital signal and outputting the digital signal; and a controller for using the correlation between signals measured by the measurement sensors corresponding to the digital signal output from the AD converter A data communication unit for transmitting abnormality status data diagnosed by the experience diagnosis model to the diagnosis server, and a DSP for performing signal processing on the monitored data, And a control unit for controlling internal and external components of the MCU module.
delete delete delete The method according to claim 1,
Wherein the data communication unit performs data communication with the diagnosis server using an Ethernet communication protocol, a CAN communication protocol, or an RS-232 communication protocol.
The method of claim 5,
Wherein the time information is included in the data transmitted to the diagnosis server by the data communication unit.
delete The method according to any one of claims 1, 5, and 6,
Wherein the diagnostic smart sensor further comprises a display module that displays in real time whether the device diagnosed and evaluated by the MCU module is in an abnormal state.
The method according to any one of claims 1, 5, and 6,
Wherein the monitoring target device includes at least one of a valve, a bearing, a high-pressure turbine, a low-pressure turbine, a generator, and a moisture separator reheating device.

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