KR101620850B1 - Method and system for measuring sensor performance evaluation using virtual iso-sensor technology - Google Patents

Abstract

According to an embodiment of the present invention, a system to evaluate the integrity of various sensors in real time in an operation state of an industrial plant includes: a virtual multi sensor part measuring an operation state of the same driving environment area by including multiple sensors of the same kind for each area made by dividing the industrial plant by the same driving environment; a comparing part calculating a signal difference value by comparing a normal signal value, calculated for the same driving environment condition as a current driving mode, with a current signal value, obtained from the sensors; and a determining part determining the functional integrity of each of the sensors based on signal difference values of each of the sensors. In order to overcome a signal difference value between the sensors, caused by physically different setting positions of the virtual multi-sensors, an absolute variation of a sensor signal is measured and compared between the virtual multi-sensors, and therefore, even if a difference is made between a normal signal value and a current signal value of the virtual multi-sensors depending on a position of the sensors due to the structure of the industrial plant, the integrity of the sensors is determined depending on whether the signal difference value keeps the same level.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and system for assessing sensor integrity using a virtual multi-

The present invention relates to a sensor integrity evaluation method and system, and more particularly, to a virtual sensor technology capable of detecting a failure of a sensor at an early stage by evaluating the health of various sensors installed in an industrial plant in real- And more particularly, to a method and system for evaluating the integrity of a sensor.

In the industrial plant process system, various sensors (temperature, pressure, flow rate, etc.) are installed for measurement and control of the process, and the performance of these sensors determines the performance and stability of the plant operation.

When the sensor output signal is simply used for monitoring the operation status, the severity of the failure is low. However, when the sensor output signal is used for process control and safety stop, the plant may be shut down due to failure, The loss also becomes very large.

Sensors are composed of mechanical, electrical, and electronic components. Therefore, the performance of sensor depends on manufacturing quality, operating environment, and maintenance result.

In industrial plants, time-based calibration and condition-based calibration are applied for sensor performance verification and calibration.

Periodic calibration is typically performed during plant overhaul and condition-based calibration is performed whenever an abnormality is found in the sensor.

In order to calibrate the sensor, the sensor is separated from the process system, the performance is tested by applying the virtual process input required for the test, and calibration is performed when the integrity is deteriorated.

The periodic calibration method of the sensor has a problem of increasing the economical burden due to the input of time and resources. The biggest disadvantage is that the performance degradation of the sensor can not be recognized during the operation, and thus there is a great uncertainty in confirming the operation performance of the industrial plant.

In order to improve this, industrial plant measurement control system adopts a method of installing several sensors at the same measurement point, comparing the operation values with each other, and excluding sensors with poor performance from measurement.

In this way, the stability of the measurement and control system is greatly improved. However, this method has a problem that it can not be applied to most of the processes in which a single sensor is installed, and there is no means to automatically and precisely inform the performance fluctuation of the sensor during operation .

Large-scale industrial plants are striving to improve their performance by installing advanced automated monitoring and control devices. However, if the integrity of sensors that provide basic monitoring / control measures deteriorates, Therefore, in order to improve this, the advanced industry has made a lot of research and development efforts, but the method that can be practically applied can not be suggested, and a countermeasure is urgently required.

It is therefore an object of the present invention to solve the problems of the prior art as described above and it is an object of the present invention to provide a virtual multi- sensor capable of quickly recognizing the deterioration of the health of the sensor by automatically evaluating the health of the sensor installed in the industrial plant process system, And to provide a method and system for evaluating sensor integrity using the technique.

To achieve the above object, an embodiment of the present invention is disclosed. In the embodiment, the system for evaluating the health of various sensors in real time on various sensors in the operating state of the industrial plant is provided with a plurality of sensors of the same kind in each of the areas divided by the same operation environment, For comparing the normal signal value calculated for the same operating environment condition and the current signal value acquired from the sensor for each sensor of the virtual multi-sensor unit to measure the signal difference value And a determination unit for determining the functional integrity of each of the sensors based on the signal difference values of the respective sensors. The sensor unit includes a sensor for overcoming a difference in signal value between sensors due to a physically different mounting position of the virtual multi- Measuring the absolute variation of the signal and comparing the virtual multiple sensors with each other, The integrity of the sensor is determined according to whether the signal difference value is maintained at the same level even if there is a difference between the current signal value and the normal signal value of the virtual multiple sensors according to the position of the sensor due to the industrial plant structure .

The sensor integrity evaluation system according to an embodiment of the present invention is a system for evaluating the health of a variety of sensors in real time in an operating state of an industrial plant, A data input unit connected to the multiple sensor units via a wired / wireless communication network to receive and acquire signal values from the respective sensors; A data storage unit for matching environmental condition information with the signal values of the multiple sensor units measured under the operating environment conditions and for storing signal values of the multiple sensor units corresponding to the same operating environment conditions as the current operation mode in the operation mode, From the storage unit, and outputs the signal values A normal value generating unit for calculating a normal signal value for the operating environment condition and a normal signal value calculated from the normal value generating unit for each sensor of the virtual multiple sensor unit and a current signal value acquired from the sensor, A comparison unit for calculating signal difference values, and a determination unit for determining the functional integrity of each of the sensors based on signal difference values of the respective sensors.

A method for evaluating the health of various sensors installed in an industrial plant according to an embodiment of the present invention in real time in an active state includes the steps of setting the same operation environment zone for each physically same operating environment, The method comprising: obtaining a current signal value from each of the sensors; calculating a normal signal value of each sensor with respect to the same operating environment condition as the current operation mode in which the current signal value is acquired Comparing the calculated normal signal value with the current signal value to calculate a signal difference value, and determining the functional integrity of each sensor based on the signal difference values of the respective sensors.

As described above, according to the sensor integrity evaluation method and system using the virtual multi-sensor technology according to the present invention, the industrial plant process system can be classified into the same zone as the operation environment and installed in the same operation environment zone (Iso-metric Region) Assuming that the sensors generate the same output signal, if the signal difference value is different from that of the other sensors during operation, the sensor is judged to be in poor condition.

Therefore, by analyzing the output signals of various sensors installed in the industrial plant using virtual Iso-sensor technology, the function of detecting the failure of the sensor at the initial stage is implemented.

In addition, by performing the above technique on-line and in real-time, it is possible to improve the existing method, which was previously possible to manually evaluate the sensor only during the shutdown period of the industrial plant, thereby providing a means for evaluating the health of the sensor in real- .

In addition, since it is possible to perform real-time evaluation of sensor performance during operation, it is possible to perform maintenance and replacement quickly, and as a result, it is possible to prevent the failure of the industrial plant. As a result, the operation control and monitoring accuracy of the industrial plant can be improved .

FIG. 1 is a view schematically showing a configuration of a sensor integrity evaluation system using a virtual multi-sensor technology according to an embodiment of the present invention.
2 is a view for understanding the concept of the same operation environment zone according to an embodiment of the present invention.
3 is a graph illustrating signal analysis of a virtual multi-sensor according to an embodiment of the present invention.
4 and 5 are graphs for analyzing the signal difference value of the virtual multi-sensor.
6 is a flowchart illustrating a method for evaluating a health of a sensor using a virtual multi-sensor according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and how to accomplish it, will be described with reference to the embodiments described in detail below with reference to the accompanying drawings. However, the present invention is not limited to the embodiments described herein but may be embodied in other forms.

The embodiments are provided so that those skilled in the art can easily carry out the technical idea of the present invention to those skilled in the art.

In the drawings, embodiments of the present invention are not limited to the specific forms shown, but are featured for clarity. Also, the same reference numerals denote the same components throughout the specification.

The expression "and / or" is used herein to mean including at least one of the elements listed before and after. Also, singular forms include plural forms unless the context clearly dictates otherwise. Also, components, steps, operations and elements referred to in the specification as " comprises "or" comprising " refer to the presence or addition of one or more other components, steps, operations, elements, and / or devices.

An object of the present invention is to detect the failure of a sensor at an early stage by evaluating the health of various sensors installed in an industrial plant in real time in an active state.

To this end, the present invention defines an area having the same operating environment as an Iso-metric region, and the sensors installed in this area are treated as virtual Iso-sensors (hereinafter referred to as multiple sensor units). Therefore, when the sensor function is sound, the signal values of the virtual multi-sensors should show the same value, and it is presumed that the sensor showing the other signal value is inferior in soundness.

In addition, the integrity of the virtual multiple sensors is determined by comparing the current signal value with the normal signal value calculated based on the past operation experience data, analyzing the signal difference value, and if the signal difference values of all the virtual multi- The function is judged to be sound, and if the signal difference value of some sensor among the virtual multiple sensors increases or decreases, it is determined that the sensor function is not sound, so that the integrity of the sensor is evaluated.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings.

FIG. 1 is a view schematically showing a configuration of a sensor integrity evaluation system using a virtual multi-sensor technology according to an embodiment of the present invention.

1, a sensor integrity evaluation system using a virtual multi-sensor technology according to an embodiment of the present invention includes a multi-sensor unit 110, a data input unit 120, a steady-state value generation unit 132, a data storage unit 134 A comparison unit 140, a determination unit 150, and a display unit 160.

The multi-sensor unit 110 is provided for measuring the operation state of the industrial plant, and has a plurality of sensors of the same type in the same operating environment. To do this, we define the Iso-metric region of each facility in advance by dividing the entire facility by the same area. For example, at least one of pressure, temperature, and flow rate is divided into the same area. The plurality of sensors constituting the multiple sensor units 110 may be distributed in the same operating environment zone. The sensor P1, the sensor P2, and the sensor P3 shown in Fig. 1 are pressure sensors that operate under the same pressure condition to measure pressure, and the sensors T1, The sensors T2 and T3 are temperature sensors that operate at the same temperature and measure the temperature. The virtual multiple sensors (sensor P1, sensor P2, and sensor P3) may have their measured values changed in accordance with changes in environmental conditions.

The data input unit 120 is connected to the multi-sensor unit 110 through a wired / wireless communication network and receives a current signal value.

The data storage unit 134 stores the operating environment condition information of the industrial plant in the learning mode and the signal values of the sensors measured according to the operation conditions. The operating environment condition information refers to various variables that affect the signal value of the sensor.

The current signal value obtained by the data input unit 120 in the operation mode is transmitted to the comparison unit 140 and the operating environment condition information when the current signal value is detected is transmitted to the steady value generating unit 132. [ The normal value generation unit 132 extracts general sensor values (sensor values stored in the learning mode) corresponding to the delivered operating environment condition information from the data storage unit 134, And generates a normal signal value that can be obtained from the operation environment condition information from the sensor values.

Here, the normal signal value is a normal signal value that can be measured under the same operating environment conditions as the current operating environment condition information, and is a statistical value based on a design signal value that presents an optimal solution in a physical method based on a design, Method, and it can be implemented by a conventional algorithm that is already known.

The comparing unit 140 compares the current signal value acquired through the data input unit 120 with the normal signal value calculated from the normal value generating unit 132 as described above. This process is performed for each of many sensors of the same type, and the current signal value of each of the sensors is compared with the corresponding normal signal value.

The determination unit 150 determines that the sensor whose current signal value corresponds to the normal signal value range is sounded as a result of the comparison performed by the comparison unit 140. If the sensor whose current signal value is out of the normal signal value range, Is not sound.

For example, if the current signal values of the sensor P1 and the sensor P3 correspond to the calculated normal signal value range, and the current signal value of the sensor P2 is out of the calculated normal signal value range, then the sensor P1 and the sensor P3 function It is judged to be sound, and the sensor P2 judges that the function is not sound.

That is, when determining the soundness of the multi-sensor unit by measuring absolute variations of the same multi-sensor signal values, the determination unit 150 determines whether the signal difference value between the current signal value and the normal signal value is greater than It is determined that the sensors of the multiple sensor units are in a sound state, and the sensors that do not maintain the same level are determined to be unhealthy.

On the other hand, the comparator 140 sequentially acquires the current signal value for each operation progress rate at periodic intervals, and outputs signal values corresponding to the same operating environment condition as the current operating condition when the current signal value is acquired, (134), from which a normal signal value is calculated, and the calculated normal signal value is compared with the current signal value. For example, signal values can be sequentially acquired in accordance with preset progress rates of 10%, 30%, 50%, 70%, 90%, etc., and can be used for the integrity evaluation of the sensor.

The display unit 160 externally displays the state of the multiple sensor units according to the information received from the determination unit 150.

2 is a view for understanding the concept of the same operation environment zone according to an embodiment of the present invention.

FIG. 2 is a schematic diagram (P & ID) of a water supply system. Cooling water supplied from a cooling water pump is cooled through a heat exchanger and is supplied to a filtration filter 240 via a control valve (shutoff valve 230) And the foreign substances are removed from the filter 240.

Sensors (temperature, pressure, flow rate, etc.) are installed at the entrance and exit of the devices installed in the water supply system, and the operation status is analyzed using the transmitted signals or the control system is operated.

The performance of the sensor is an important management target of plant operators because it affects the quality of monitoring and control. Especially, when the sensor is a facility system related to safety and environment, 3 to 5 sensors are installed at the same position, and the output signals are compared with each other, so that the sensor showing the unusual symptom can be judged as having poor health.

However, in most of the conventional process systems, only one sensor is installed at one measuring position, so there is no mutual comparison of measurement signals, and as a result, the integrity of the sensor can not be confirmed.

In the present invention, if two or more sensors for monitoring the operating environment (temperature, pressure, flow rate, etc.) of the same process can be secured, the sensor integrity can be evaluated. Therefore, Region and Virtual Iso-sensor technology.

2, the water discharged from the water pump 210 flows through the water cooler 220, the shut-off valve 230, and the filter 240. At this time, the pressure is supplied to the pump outlet, the water cooler 220, the shutoff valve 230, and the like, the same operation pattern is maintained without a large fluctuation. However, the outlet of the filter 240 may have a large pressure fluctuation depending on the clogging of the filter.

Therefore, since the pressure sensors P1, P2 and P3 are in the Iso-barlic region, they can be defined as the same operating environment zone, and the three sensors P1, P2 and P3 are installed at substantially the same pressure And can be defined as virtual multiple sensors.

The temperature of the water supplied from the water pump 210 varies depending on the operation condition of the water cooler 220 but there is no temperature fluctuation since there is no heat energy supply source while passing through the shutoff valve 230 and the filter 240 .

Since the temperature sensors T2, T3 and T4 are in the iso-thermal region, they can be defined as the same operating environment zone, and the three temperature sensors T2, T3 and T4 are installed at substantially the same temperature And can be defined as virtual multiple sensors.

Since the virtual multi-sensor is defined as having a plurality of sensors installed on one measurement point, the health of the sensor can be evaluated by the mutual comparison method. However, since the measurement value is graded while passing through the device, Do.

FIG. 3 is a graph illustrating signal analysis of a virtual multi-sensor according to an embodiment of the present invention, and FIGS. 4 and 5 are graphs for analyzing a signal difference value of a virtual multi-sensor.

3, the signal difference value concept of the present invention is introduced to improve the difficulty of mutual comparison due to differences in signal values of sensors installed at physically different positions. The absolute difference amount of sensor signals is measured and compared with each other It is a method to utilize.

The steady signal value is the most desirable signal value that can appear in the same situation as the current operating condition. It is a design signal value that presents the optimal solution by the physical method based on the design, and an experiment which presents the optimal solution by the statistical method based on the past operation experience Signal value.

Since the variation of the signal difference value (Vd) of the sensor signal occurs according to the process variation or the sensor failure, it is possible to evaluate the integrity of the sensor by analyzing the sensor signal fluctuation.

FIG. 4 is a diagram illustrating a state of a signal value according to an installed position of the sensor of the process system shown in FIG. 3, which is a case of pressure measurement.

The pressure of the feed water discharged from the feed pump indicates the pressure drop while passing through the water cooler and the shutoff valve and the pressure of each part increases or decreases in the same pattern when the feed pump pressure fluctuates due to the fluctuation of the operating environment.

The graph of FIG. 4 shows the correlation between the current signal value, the normal signal value, and the signal difference value of the virtual multiple sensors P1, P2, and P3 during normal operation. Differences occur depending on the position, but signal difference values are maintained at the same level.

* Sensor P1: Signal difference value (Pd _P1 ) = Normal signal value (Pe _P1 ) - Present signal value (Pa _P1 )

* Sensor P2: Signal difference value (Pd _P2 ) = Normal signal value (Pe _P2 ) - Present signal value (Pa _P2 )

* Sensor P3: Signal difference value (Pd _P3 ) = Normal signal value (Pe _P3 ) - Present signal value (Pa _P3 )

* Signal difference value at normal sensor: Pd _P1 = Pd _P2 = Pd _P3

When the pressure fluctuation occurs due to the fluctuation of the operating environment during operation, since the influence is transmitted to the water cooler and the control valve, the current signal value, the normal signal value, and the signal difference value of the virtual multiple sensors P1, P2, The same pattern, and the current signal value and the normal signal value can represent different values, but the signal difference value is maintained at the same level.

Therefore, if the signal difference values of the virtual multiple sensors (P1, P2, P3) are maintained at the same level during the operation of the industrial plant, the integrity of the sensor can be evaluated as being in a normal state.

FIG. 5 shows a correlation between the current signal value, the normal signal value, and the signal difference value of the virtual multiple sensors P1, P2, and P3 when a failure occurs in some sensors in the normal operation state of the industrial plant.

For example, when a failure occurs in the sensor P2 during the operation, the current signal value, the normal signal value, and the signal difference value of the sensors P1 and P3 among the virtual multiple sensors P1, P2, In the sensor P2 in which the failure occurs, the normal signal value Pe _P2 does not fluctuate but the current signal value Pa _P2 decreases and the signal difference value Pd _P2 increases.

* Sensor P1: Signal difference value (Pd _P1 ) = Normal signal value (Pe _P1 ) - Present signal value (Pa _P1 )

* Sensor P2: Signal difference value (Pd _P2 ) = Normal signal value (Pe _P2 ) - Present signal value (Pa _P2 )

* Sensor P3: Signal difference value (Pd _P3 ) = Normal signal value (Pe _P3 ) - Present signal value (Pa _P3 )

※ Signal difference value at sensor function failure: Pd _P2 > Pd _P1 , Pd _P3

Therefore, if the signal difference values of the virtual multiple sensors (P1, P2, P3) are not kept the same during the operation of the industrial plant, the sensor's health is degraded and the sensors P1 and P3, And the sensor P2 whose signal difference value Pd _P2 is increased can be evaluated as having decreased soundness.

6 is a flowchart illustrating a method for evaluating a health of a sensor using a virtual multi-sensor according to an embodiment of the present invention.

The operation principle and application procedure of the sensor integrity evaluation method using the virtual Iso-sensor technology according to the present invention will be described in detail with reference to FIG.

The operation of the present invention is performed through three steps and detailed steps as shown in the following table, and the function and operation procedure of the present invention will be described in detail with reference to the drawings.

Referring to Table 1, the first step for implementing the present invention includes sub-steps S100 and S200 as a step of selecting a virtual multi-sensor, and the second step is a step of calculating a signal difference value and includes sub-steps S300 and S400 , S500, and S600, and the third step includes steps S700 and S700 for determining a sensor failure.

Implementation phase Detailed steps Implementation task Step 1 S100 to S200  Virtual multiple sensor selection Step 2 S300 to S600  Calculate signal difference value Step 3 S700 ~ S800  Determination of trouble sensor

Hereinafter, a method for evaluating the sensor integrity of the present invention will be described by taking the case of evaluating the soundness of the pressure sensor shown in FIG. 2 as an example for convenience of explanation and consistency.

First, in the same operation environment zone setting step (S100), the same zone of the operation environment (pressure, temperature, flow rate, etc.) of the industrial plant process is set. For example, the water pump outlet, the water cooler outlet, and the control valve outlet section shown in FIG. 2 can be defined as an iso-barlic region in which the pressure varies in the same pattern, so that the same operation environment zone is set .

Next, the virtual multiple sensor selection step (S200) sets all the pressure sensors within the interval set in the same operation environment zone to virtual multiple sensors. Since the pressure sensors P1, P2, and P3 are installed in the equal pressure section of FIG. 2, the virtual multiple sensors P1, P2, and P3 are selected and these three sensors are treated as being physically located in the same process.

The following is a step of selecting a sensor for the soundness evaluation as the evaluation target sensor selection step (S300). P1 is first selected among the virtual multiple sensors P1, P2, and P3.

The following step S400 of obtaining the transmitted signal value from the sensor for measuring the current signal value measures the output signal of the sensor P1.

Next, a normal signal value calculation step (S500) calculates an ideal normal signal value that can appear in the same situation as the current operating condition. The normal signal value can be classified into a design signal value representing an optimal solution in a physical method based on the design and an experienced signal value representing an optimal solution in a statistical method based on past operation experience. In addition, various modeling techniques for calculating the normal signal value are utilized, so that no specific method is specified.

The following is a signal difference value calculation step S600, in which the signal difference value Vd is calculated by comparing the normal signal value Ve with the current signal value Va, and is defined as follows.

Signal difference value (Vd) = normal signal value (Ve) - current signal value (Va)

Next, the processes of S300, S400, S500, and S600 are repeated for the sensors P2 and P3, respectively, and the signal difference values of the sensors are calculated (S650)

When the calculation of the signal difference values of the sensors P1, P2, and P3 is completed through the detailed steps S300, S400, S500, and S600, a fault occurrence sensor determination (S700, S800) procedure is performed as the next step.

That is, in step S700 of comparing signal difference values between sensors, signal difference values of the virtual multiple sensors P1, P2, and P3 are compared. The comparison of the signal difference values is the same principle as shown in Figs. 4 and 5, and in practice, the calculation can be automated using the averaging method, the logic method, and the like.

Finally, as the fault occurrence sensor discrimination step S800, the fault occurrence sensor is discriminated using the signal difference value comparison result obtained through the detailed step S700.

As shown in FIG. 4, when the signal difference values of the virtual multi-sensors are all the same, the integrity of the sensor can be evaluated to be in a normal state, and when the signal difference value of some sensors among the virtual multi- It can be estimated that the health of the sensor is degraded.

The present invention configured as described above provides a means for easily detecting deterioration of the sensor's health by applying a virtual multi-sensor concept by defining a zone that can be physically defined as the same operation environment zone, Temperature, flow rate, etc.).

As described above, the sensor integrity evaluation method and system of the present invention analyzes output signals of various sensors installed in an industrial plant using virtual Iso-sensor technology, can do.

In addition, since it is possible to perform real-time evaluation of sensor performance during operation, it is possible to perform maintenance and replacement quickly, and as a result, it is possible to prevent the failure of the industrial plant. As a result, the operation control and monitoring accuracy of the industrial plant can be improved .

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. , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments described herein.

110: multiple sensor unit 120: data input unit
132: steady-state value generating unit 134:
140: Judgment section 150:
200: water pump 220: water cooler
230: Shut-off valve 240: Filtration filter

Claims (10)

1. A system for assessing the health of a variety of sensors in real time in an operating state of an industrial plant,
A virtual multi-sensor unit provided for measuring the operating state of the industrial plant, and having a plurality of sensors of the same type in each of the pre-divided zones according to the same operating environment of temperature, pressure or flow rate, And
A signal difference value is calculated for each sensor of the virtual multi-sensor unit provided in the same operation environment zone by comparing the current signal value obtained from the sensor with a normal signal value calculated for the same operating environment condition as the current operation mode A comparator; And
And a determination unit determining the functional integrity of each of the sensors based on signal difference values of the sensors,
Measuring the absolute variation of the sensor signal to overcome the difference in signal value between the virtual multiple sensors due to physically different installation locations in the same operating environment zone, Wherein the sensor integrity evaluation unit determines the integrity of the sensor according to whether the signal difference value is maintained at the same level even if there is a difference between the current signal value and the normal signal value of the virtual multiple sensors according to the position of the sensor. . 1. A system for assessing the health of a variety of sensors in real time in an operating state of an industrial plant,
A plurality of sensor units provided for measuring the operation state of the industrial plant and having a plurality of sensors of the same type in each of the same operation environment zones divided in advance according to the operating environment in which the temperature, pressure, or flow rate is the same;
A data input unit connected to the multiple sensor units through a wired / wireless communication network to receive and acquire signal values from the sensors;
A data storage unit for matching operating environment condition information in the learning mode with signal values of the multiple sensor units measured in the operating environment conditions;
Extracts signal values of the multiple sensor units corresponding to the same operating environment conditions as the current operation mode in the operation mode from the data storage unit and calculates a normal signal value for the corresponding operation environment condition from the signal values through a predetermined algorithm A steady-state value generating unit;
A comparison unit for calculating a signal difference value by comparing a normal signal value calculated from the normal value generation unit and a current signal value acquired from the sensor for each sensor of the multiple sensor units provided in the same operation environment zone; And
And a determination unit for determining the functional integrity of each of the sensors based on signal difference values of the sensors
In order to overcome the difference in the signal value between the sensors due to the physically different installation position in the same operation environment zone, the absolute variation of the sensor signal is measured and compared between the sensors, And determining the health of the sensor according to whether the signal difference value is maintained at the same level even if there is a difference between the current signal value and the normal signal values of the sensors. 3. The apparatus according to claim 2,
And acquires the current signal value sequentially for each operation progress rate at a predetermined periodic interval.
3. The apparatus of claim 2,
Wherein the comparison unit compares the current signal value with the normal signal value range to determine that the function is sound and the sensor whose current signal value is out of the normal signal value range is not functioning properly And the sensor integrity evaluation system determines the sensor integrity evaluation value. 3. The method of claim 2,
The normal signal value may include at least one of a design signal value indicating an optimal solution in a physical method based on design and an experience signal value indicating an optimal solution in a statistical method based on a past operation history in the same environment as the current operation condition The sensor integrity evaluation system is characterized. [3] The apparatus of claim 2,
Wherein at least one operating environment of pressure, temperature, and flow rate is provided in a same area with a plurality of homogeneous sensors distributed.










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