Plant Function Management Support Method and Plant Function Management Support Device

Abstract

To provide a plant function management support method capable of maintaining the integrity of three elements through appropriate maintenance or management of the plant functions and performance based on parameter information by monitoring parameters related to the plant functions, and a plant function management support device.SOLUTION: A disclosed plant function management support method includes: a step of extracting monitoring parameters to monitor plant-required functions and design required threshold values of monitoring parameters for determining the maintenance or management of plant functions or performance; a step of acquiring the values of monitoring parameters; and a step of comparing the acquired monitoring parameter values and the design requirement thresholds. With this, the functions or performance of the plant can be maintained or managed.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to a method for supporting plant function management and a plant function management support device for a nuclear power plant.

Background Art

[0002] In recent years, nuclear power generation has been required to have competitiveness in productivity due to the expansion of renewable energy introduction. In addition, it is also expected as a base load power source that can be stably supplied planned and continuously due to the tight power supply. For this reason, in order to eliminate the factors of unplanned stops of power generation facilities, management technologies for highly reliable facilities are becoming increasingly necessary.

[0003] For example, Patent Document 1 discloses an operation management support device for a power generation plant including a nuclear power plant, which includes an operation parameter extraction unit that extracts operation parameters of the power generation plant and an information transmission command unit that transmits information on the operation parameters of the power generation plant extracted by the operation parameter extraction unit, and enables appropriate sharing of information related to the operation management of the power generation plant.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] In a nuclear power plant, an effort called Configuration Management (CM) to maintain or manage the consistency of three elements: design requirements, design configuration information, and physical configuration is required in the management of the operator. Regarding these three elements, in a nuclear power plant, after the start of operation, conservative maintenance has been performed to maintain the performance at the start, and the consistency of these three elements has been maintained. Conventionally, the facilities in nuclear power plants have been maintained with a large margin with respect to the required facility performance and deterioration state. However, in the future, maintenance and facility management with higher economy and stability are required.

[0006] In order to maintain or manage facilities with higher reliability and economy, it is necessary to monitor the performance required of the facilities or equipment, and to carry out effective maintenance activities at appropriate times while maintaining three elements in response to performance degradation.

[0007] An object of the present invention is to provide a plant function management support method and a plant function management support device that monitor parameters related to plant functions, and maintain the consistency of three elements by appropriately maintaining or managing plant functions and performance based on parameter information.

Means for Solving the Problems

[0008] To solve the above problems, the plant function management support method of the present invention includes a step of extracting monitoring parameters for monitoring plant required functions, and extracting design requirement thresholds of the monitoring parameters for determining maintenance or management in the functions and performance of the plant, a step of obtaining values of the monitoring parameters, and the obtained monitoring parameter values Predict the secular change of the monitoring parameter based on this, obtain the time when the predicted value of the monitoring parameter reaches the design requirement threshold, and set the predicted value of the secular change of the monitoring parameter at the time obtained by subtracting the action lead time from the time as the action threshold, and compare the obtained monitoring parameter value with the action threshold, and when the obtained monitoring parameter value reaches the action threshold, implement plant maintenance or corrective measures as described above.

[0009] Further, the plant function management support device of the present invention includes a plant function management unit that extracts monitoring parameters for monitoring plant required functions, and extracts design requirement thresholds of the monitoring parameters for determining maintenance or management in the functions or performance of the plant, a parameter monitoring unit that obtains the monitoring parameters, and a parameter determination unit that compares the obtained monitoring parameters with the design requirement thresholds, An action threshold update unit that predicts the secular change of the monitoring parameter based on the obtained monitoring parameter value, obtains the time when the predicted value of the monitoring parameter reaches the design requirement threshold, and sets the predicted value of the secular change of the monitoring parameter at the time obtained by subtracting the action lead time from the time as the action threshold, and the parameter determination unit compares the obtained monitoring parameter value with the action threshold, and when the obtained monitoring parameter value reaches the action threshold, implements plant maintenance or corrective measures as described above.

Effects of the Invention

[0010] According to the present invention, it is possible to provide a plant function management method and a plant function management device for maintaining the consistency of three elements by appropriately maintaining or managing the plant functions and performance based on parameter information. In addition, by combining the monitoring of parameters with the lead time information for predicting the performance degradation of facilities or equipment and implementing maintenance or corrective measures, it is possible to provide an appropriate timing for implementing maintenance actions to the user. Furthermore, by updating the prediction data with the measured values of the monitoring parameters, the accuracy can be improved, and continuous support for maintaining or managing the three elements can be provided.

Brief Description of the Drawings

[0011]

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Embodiments for Carrying Out the Invention

[0012] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. First, regarding the three elements of the CM design requirements, design configuration information, and physical configuration in the plant function management support method and plant function management support device of the nuclear power plant in the embodiment, it will be described with reference to FIG. 1.

[0013] In the plant function management support method and plant function management support device of the nuclear power plant in the embodiment, as shown in FIG. 1, the design requirements (design requirement thresholds) and required function information (plant required functions) in the design, construction, and manufacturing of the plant are used as the CM design requirements and stored in a design requirement database (hereinafter referred to as design requirement DB50).

[0014] Based on the design requirement DB50, the plant function management support method and plant function management support device associate the information of the monitoring parameters corresponding to the requirement data, and quantify it into the corresponding monitoring parameter information and threshold information from the qualitative function information.

[0015] Then, the basis information of the design requirement threshold, the relationship between the design requirement function and the monitoring parameter, and the target component information are used as the CM design configuration information and stored in a design information database (hereinafter referred to as design information DB60).

[0016] In the plant function management support method and the plant function management support device, the relevance between the design requirement functions and the monitoring parameters, the threshold values that are the operation limit values and the basis information thereof, and the component information corresponding to the monitoring parameters are extracted from the design information DB60. Also, the threshold information for quantifying the design requirement functions is extracted from the design information DB60.

[0017] Furthermore, the monitoring parameters (parameter records and the latest values) are used as the physical configuration of the CM, and the monitoring parameter database 33 (hereinafter referred to as the monitoring parameter DB33) is stored. Specifically, the monitoring parameter DB33 stores the data of the acquired monitoring parameters, and also stores the past data and test data of similar parameters.

[0018] In the plant function management support method and the plant function management support device of the nuclear power plant of the embodiment, in the maintenance of the nuclear power plant, the consistency maintenance or management of the three elements of the design requirement DB50, the design information DB60, and the monitoring parameter DB33 is performed.

[0019] That is, the design requirement DB50 corresponds to the design requirements of the CM, the design information DB60 corresponds to the design configuration information of the CM, the monitoring parameter DB33 corresponds to the physical configuration of the CM, and the consistency maintenance or management of the three elements of the design requirement DB50, the design information DB60, and the monitoring parameter DB33 is performed. Therefore, the plant function management support method and the plant function management support device of the nuclear power plant of the embodiment are in line with the approach of the CM.

[0020] Figure 2 is a diagram showing the configuration of the plant function management support device of the present embodiment. The plant function management support device of this embodiment includes a plant function management unit 10 that manages consistency information for plant required functions, a parameter determination unit 20 that determines whether monitoring parameters fall within the ranges of various threshold values set for the parameters, a parameter monitoring unit 30 that acquires parameter information and records information related to the monitoring parameters, an input unit 70 for inputting operation information of the device, a communication unit 80 for data exchange with other devices, and an output unit 90 for notifying warnings and action information to the user.

[0021] Specifically, the plant function management unit 10 is composed of a plant required function extraction unit 11, a plant required function related information extraction unit 12, a monitoring parameter extraction unit 13, a design requirement threshold extraction unit 14, and a requirement determination unit 15, the details of which will be described later.

[0022] Also, the parameter determination unit 20 is composed of a threshold determination unit 21 and a parameter change impact determination unit 22, the details of which will be described later. The parameter monitoring unit 30 is composed of a monitoring information input unit 31, an input information recording unit 32, and a monitoring parameter DB 33, the details of which will be described later.

[0023] In FIG. 2, the plant function management support device of this embodiment is shown connected to a design requirement DB 50 and a design information DB 60 shared with other management devices via the communication unit 80, but the plant function management support device may be configured to include the design requirement DB 50 and the design information DB 60.

[0024] Specifically, the plant function management support device of this embodiment is composed of a computer (information processing device) including a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a storage device such as an HDD (hard disk drive), and a display.

[0025] Then, as shown in FIG. 2, a monitoring parameter DB 33 for storing various types of information described above by the HDD is formed, and by the CPU executing the program stored in the HDD, it functions as a plant function management unit 10, a parameter determination unit 20, and a parameter monitoring unit 30. The output unit 90 is a display.

[0026] Next, with reference to the flowchart of FIG. 3, the operation for confirming the consistency of the three elements by the plant function management support device of the present embodiment will be described.

[0027] According to the flow of FIG. 3, the design requirement threshold value for achieving the performance required by the CM and the measured value of the monitoring parameter (value of the monitoring parameter) are sorted out (visualized) by the plant function management support device, and the consistency of the three elements is confirmed.

[0028] In FIG. 3, the information and values associated during the flow are regarded as related information and stored in a state where they can be mutually referenced. Also, in FIG. 3, the threshold value for comparing with the monitoring parameter associated with the element function, which is determined by the operation limit value and the threshold value of the element function of the economic index in the design requirement, is defined as the "design requirement threshold value".

[0029] In step S31, the plant requirement function extraction unit 11 of the plant function management unit 10 extracts the plant requirement function from the design requirement DB 50.

[0030] In step S32, the plant requirement function related information extraction unit 12 extracts the element function and the design basis information of the requirement function extracted in step S31 from the design information DB 60 and manages them as related information of the requirement function. Here, the element function is the performance, state, deterioration information, etc. of the equipment required for achieving the requirement function. From the design perspective, it also includes information that is a constraint condition from function design to equipment design.

[0031] In step S33, the monitoring parameter extraction unit 13 extracts the existing monitoring parameters and design basis information related to the element function from the design information DB 60 and manages them as related information of the element function.

[0032] In step S34, the design requirement threshold extraction unit 14 extracts, from the design information DB60, the minimum performance value of the elemental functions necessary to achieve the plant required functions as a threshold value and associates it with the monitoring parameter. Further, the design requirement threshold extraction unit 14 extracts, from the design information DB60, the information that is the basis of the threshold value of the elemental function as related information.

[0033] By the above steps S31 to S34, the relationship and related information between the plant required performance and the monitoring parameter in the design requirement DB50 and the design information DB60 in FIG. 1 are organized.

[0034] In step S35, the threshold determination unit 21 of the parameter determination unit 20 confirms that the latest value of the monitoring parameter acquired by the parameter monitoring unit 30 does not exceed the threshold value of the monitoring parameter associated with the elemental function. Then, the requirement determination unit 15 confirms that, for all of the elemental functions associated with the plant required functions, the threshold value is not exceeded. As described above, the consistency of the design requirement DB50, the design information DB60, and the monitoring parameter DB33 in FIG. 1 can be confirmed.

[0035] Next, a case where the plant function management support device of the present embodiment monitors the performance required for facilities or equipment during plant operation and formulates a plant maintenance plan so as to maintain the consistency of the three elements of CM (the design requirement DB50, the design information DB60, and the monitoring parameter DB33) will be described.

[0036] For example, in order to prevent unplanned plant stops or even long-term stops, it supports continuously maintaining the consistency of the three elements by utilizing the change prediction of the monitoring parameter and the lead time information of the maintenance action. Note that the action lead time means the time required for considerations, procurements, work, etc. necessary for implementing an action for restoring the function of facilities or equipment.

[0037] FIG. 4 is a diagram showing the configuration of the plant function management support device of the present embodiment when formulating a maintenance plan.

[0038] The plant function management support device of the present embodiment is configured by adding an action threshold update unit 40 for formulating a maintenance plan to the plant function management support device described with reference to FIG. 2. Since the other configurations of the plant function management support device of the present embodiment are the same as those in FIG. 2, the description thereof is omitted here.

[0039] The action threshold update unit 40 is composed of a prediction information extraction unit 41, a prediction execution unit 42, an information extraction unit 43 for maintenance or corrective measures, an action lead time estimation unit 44, and an action threshold determination unit 45, the details of which will be described later.

[0040] With this configuration, the action threshold update unit 40 predicts the time when the threshold of the plant required function is reached from the predicted value of the monitoring parameter, and extracts the maintenance action and its lead time. Then, from the above time information (predicted time) and lead time information (extracted lead time), a new threshold (action threshold) of the monitoring parameter in the threshold determination unit 21 is set. In other words, the action threshold update unit 40 combines the performance degradation prediction and the lead time information for the implementation of maintenance or corrective measures, and sets a threshold (action threshold) that triggers the implementation of an action.

[0041] The plant function management support device of the present embodiment uses this as the threshold of the maintenance action, and when it detects that the monitoring parameter has reached this threshold, it notifies the user of a warning and action information, or activates a maintenance process such as procurement. Thereby, the plant function management support device can start maintenance-related actions (planning, procurement, actual work, etc.) before the equipment or device loses its required function and complete the actions.

[0042] Next, with reference to FIG. 5, the determination process of the action threshold for the monitoring parameter for the implementation of the maintenance or corrective action in the action threshold update unit 40 will be described.

[0043] In step S51, the action threshold update unit 40 (see FIG. 4) selects a monitoring parameter for which the action threshold is to be set.

[0044] In step S52, the prediction information extraction unit 41 (see FIG. 4) of the action threshold update unit 40 extracts the design requirement threshold related to the monitoring parameter selected in step S51 from the design requirement DB50 and the design information DB60. Further, prediction information such as simulation information necessary for predicting the secular change of the monitoring parameter, including past data and test data of the monitoring parameter DB33, is acquired. The acquired prediction information is stored in the monitoring parameter DB33.

[0045] In step S53, the prediction execution unit 42 (see FIG. 4) predicts the secular change of the monitoring parameter by simulation or the like based on the prediction information acquired in step S52. Regarding the prediction method at this time, an appropriate method is selected from known techniques according to the type of parameter and data and performed.

[0046] In parallel with steps S52 and S53, in step S54, the maintenance or corrective action information extraction unit 43 (see FIG. 4) extracts component information related to the monitoring parameter selected in step S51 from the design information DB60. Also, maintenance or corrective action information of the target component is extracted from a maintenance or corrective action database (not shown).

[0047] The maintenance or corrective action information is information necessary for performing inspection or repair on the decline or deterioration of the function or performance of the target component. For example, work information, necessary materials, work resource information, work constraint information, etc.

[0048] In step S55, the action lead time estimation unit 44 estimates the action lead time of the maintenance or corrective action based on the maintenance or corrective action information extracted in step S52. For example, the action lead time of the maintenance is estimated based on information such as material procurement, securing work resources, actual work time, work constraint conditions, etc. Also, if necessary, the study period for the cause of the parameter change is included in the action lead time for estimation.

[0049] In step S56, the action threshold determination unit 45 determines an action threshold from the prediction result of the secular change of the monitoring parameter in step S53 and the estimation result of the action lead time in step S55.

[0050] Specifically, the action threshold determination unit 45 uses the time when the predicted value of the secular change of the monitoring parameter reaches the design requirement threshold set for the monitoring parameter as a reference, and uses the predicted value of the secular change of the monitoring parameter corresponding to the time obtained by subtracting the action lead time as the action threshold. At this time, the design requirement threshold can be reset according to the management purpose of the monitoring parameter.

[0051] In step S57, the action threshold determination unit 45 stores the action threshold determined in step S56 in the monitoring parameter DB33.

[0052] Here, the method for determining the action threshold in step S56 will be described in detail with reference to FIGS. 6A and 6B. FIG. 6A shows a case where the predicted curve of the secular change obtained from the measured value of the monitoring parameter is a straight line or a simple curve.

[0053] In FIG. 6A, as described in step S56, first, the time when the predicted curve of the secular change of the monitoring parameter reaches the design requirement threshold of the monitoring parameter is obtained, and the time obtained by subtracting the action lead time from this time is obtained as the time to start the action. Then, the predicted value of the monitoring parameter corresponding to the time to start the action in the predicted curve of the secular change of the monitoring parameter is used as the action threshold.

[0054] In FIG. 6A, for the sake of simplicity of explanation, the case where the predicted curve of the secular change of the monitoring parameter decreases simply is described. However, there is no limitation on the characteristics of the monitoring parameter, and since the parameter can change due to various factors, as shown in FIG. 6B, the measured value of the monitoring parameter can be considered to have a width. In this case, the design requirement threshold of the monitoring parameter is set and managed with an upper limit value and a lower limit value, and the action threshold is also set accordingly.

[0055] FIG. 6B shows a case where a prediction curve of the secular change of the monitoring parameter is obtained based on the peak value on the upper limit side of the measured value of the monitoring parameter, and an action threshold value is obtained. Specifically, the time when the prediction curve of the secular change of the monitoring parameter reaches the design requirement threshold value of the upper limit of the monitoring parameter is obtained, and the time obtained by subtracting the action lead time from this time is obtained as the time to start the action. Then, the predicted value of the monitoring parameter corresponding to the time to start the action in the prediction curve of the secular change of the monitoring parameter is used as the action threshold value.

[0056] Instead of the peak value on the upper limit side of the measured value of the monitoring parameter, a prediction curve of the secular change of the monitoring parameter may be obtained based on the peak value on the lower limit side of the measured value of the monitoring parameter, and an action threshold value may be obtained.

[0057] Hereinafter, a more specific example of setting the action threshold value will be described. FIG. 7 shows the monitoring items of the functions or performances in the core reactivity and output control functions of the control rod drive mechanism (CRD) described in "TR-107434 System Monitoring by System Engineers 37 System Monitoring Plans" issued by EPRI (Electric Power Research Institute) in the United States. Hereinafter, an example of setting the action threshold value for this will be described.

[0058] In the core reactivity and output control functions of the control rod drive mechanism (CRD) shown in FIG. 7, as the monitoring parameters, the flow rate of the pump, the CRD bearing temperature, the vibration frequency of the pump rotating part or the gear box or the motor, and the discharge pressure of the CRD pump are selected. Hereinafter, a method for setting the action threshold value for the flow rate of the pump will be described.

[0059] Figure 8 shows the case where the performance of the pump deteriorates over time during operation, and the pump flow rate decreases. The normal operating range of the pump flow rate is 40 - 42 GPM. The predicted curve of the change in the pump flow rate (predicted curve of aging change), which is the monitoring parameter, can be obtained from predictions from measured values, results of pump tests, past data, etc.

[0060] Figure 9 is a diagram showing an example of a pump performance curve indicating the relationship between the flow rate and discharge pressure of the pump. The operating limit value, design value, and measured value of the pump are in a relationship that satisfies the consistency of the three elements, and a predicted curve of aging change can be obtained by using the discharge pressure of the pump as the monitoring parameter.

[0061] Next, estimate the time required from the start to the end (function recovery) of the action for maintenance or corrective measures as the action lead time. Actions due to a decrease in the pump flow rate include pump inspection, connection confirmation, valve degradation verification, and repair.

[0062] Here, as shown in Figure 10, estimate the action lead time with the inspection or repair work of the pump as the action. Specifically, extract and organize the time required for consideration and planning of each work of the action, the time required for procurement of materials, the actual work time, the constraints on work implementation (the time required until work permission), etc. If there are items that can be implemented in parallel with other work, use the shortest total time. The time required for consideration or planning, procurement of materials or services, actual work, and constraints that directly contribute to the implementation of the work is basically unchanged for the implementation of the action. Constraints are conditions set when it is required to perform an action at an effective timing such as improving the economic efficiency of the work.

[0063] Returning to Figure 8, based on the predicted curve of the aging change of the monitoring parameter (pump flow rate), set the action threshold considering the action lead time based on the timing when the pump flow rate falls below the design requirement value. Then, when the measured value of the pump flow rate reaches the action threshold, implement the action for maintenance or corrective measures.

[0064] Here, as a constraint condition for implementing actions for maintenance or corrective measures, the case of performing actual work during the planned shutdown period of the plant, that is, setting the action threshold in consideration of the plant operation schedule, will be described with reference to FIG. 11.

[0065] FIG. 11 is a graph showing the time changes of two monitored parameters of management targets for which equivalent design requirement thresholds are set. The time when the predicted curves of the secular changes of the two management targets reach the design requirement threshold is the timing during plant operation in the operation schedule. When the implementation constraint conditions for the actions of maintenance or corrective measures are set so as to suppress the shutdown of the plant due to the maintenance or corrective measures for the target, the work of the maintenance or corrective measures for the target is carried out during the shutdown period immediately before the operation period of the plant including the time when the predicted curves of the secular changes of the two management targets reach the design requirement threshold.

[0066] Then, the time obtained by subtracting the action lead time from the start timing of the plant shutdown period is determined, and the predicted values of the secular changes of the respective monitored parameters corresponding to this time are set as the action thresholds. In FIG. 11, assuming that it takes six months for the planning and component procurement of maintenance or corrective measures, the action lead time is set to six months. The above processing is performed by the action threshold update unit 40.

[0067] Also, in FIG. 11, different action thresholds are set because the change characteristics of the predicted curves of the secular changes in the monitored parameters of the target are different. As described above, the action thresholds of the equipment being monitored can be appropriately set according to the action lead time and other constraint conditions.

[0068] As described above, the action threshold is determined by the design requirement threshold of the monitored parameter, the monitoring interval, and the lead timing of the maintenance action. Therefore, it is necessary to change the value due to changes in design requirements, operation requirements, maintenance methods, etc.

[0069] Therefore, the plant function management support device of this embodiment repeats the flow shown in FIG. 12 to continuously maintain or manage the plant function requirements using the action threshold value.

[0070] In step S121, the plant function management support device continuously acquires monitoring parameter data, new test data, etc., and continuously updates the action threshold value.

[0071] In step S122, the plant function management support device determines, by the parameter determination unit 20, whether the monitoring parameter has reached the action threshold value. If it has reached (Yes in S122), it proceeds to step S123. If it has not reached (No in S122), the process ends.

[0072] In step S123, the plant function management support device outputs action information such as warnings to the user and resources, work content, and constraint conditions necessary for performing maintenance or corrective measures, or starts the maintenance process.

[0073] In step S124, the plant function management support device records the content and results of the actions of the performed maintenance or corrective measures in the maintenance or corrective measure database.

[0074] In step S125, the plant function management support device confirms that there is no problem with the monitoring parameter. The plant function management support device of this embodiment repeats steps S121 to S125 to continuously maintain or manage the plant function requirements using the action threshold value.

[0075] In the above, it has been described that the plant function management support device performs actions related to the implementation of maintenance or corrective measures when the monitoring parameter reaches the action threshold value. However, when there are sudden changes in plant performance, equipment failures, or signs of failures, abnormal changes in monitoring parameters such as a clearly increasing amount of parameter change over a certain period (a sudden change in the change slope of the parameter) may occur.

[0076] Therefore, the plant function management support device of this embodiment is provided with a parameter change influence determination unit 22 (see FIG. 2) that detects a change different from normal in the monitoring parameter, and outputs an alarm when a change different from normal in the monitoring parameter is detected.

[0077] Specifically, when the parameter change influence determination unit 22 determines that the action threshold value reset by the update of the action threshold value is a value at a time in the past from the time corresponding to the action threshold value before the update in the prediction curve of secular change, it determines that a change different from normal in the monitoring parameter has been detected.

[0078] The parameter change influence determination unit 22 also determines that a change different from normal in the monitoring parameter has been detected when the amount of change per unit time (slope of the change) of the monitoring parameter exceeds the allowable change amount, and the allowable change amount for the determination may be set according to the monitoring purpose and necessity of the monitoring parameter for which detection is performed.

[0079] The present invention is not limited to the above-described embodiments, and includes various modifications. The above embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Also, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can also be added to the configuration of one embodiment.

Explanation of Reference Numerals

[0080] 10 Plant function management unit 20 Parameter determination unit 30 Parameter monitoring unit 33 Monitoring parameter DB 50 Design requirement DB 60 Design information DB 70 Input unit 80 Communication unit 90 Output unit

Claims

1. extracting monitoring parameters for monitoring the plant demand function and extracting the design requirement thresholds of the monitoring parameters for determining maintenance or management in the functions and performance of the plant; obtaining the values of the monitoring parameters; predicting the secular change of the monitoring parameters based on the obtained monitoring parameter values, obtaining the time when the predicted value of the monitoring parameter reaches the design requirement threshold, and setting the predicted value of the secular change of the monitoring parameter at the time obtained by subtracting the action lead time from the time as the action threshold; comparing the obtained monitoring parameter values with the action threshold; including implementing maintenance or corrective measures for the plant when the obtained monitoring parameter values reach the action threshold, and a plant function management support method characterized by this.

2. In the plant function management support method according to Claim 1, it is determined that a change different from normal of the monitoring parameter is detected when the amount of change per unit time of the monitoring parameter exceeds the allowable amount of change. A plant function management support method characterized by this.

3. In the plant function management support method according to Claim 1, the action lead time is information on material procurement, securing work resources, actual work time, or work constraint conditions for plant maintenance or corrective measures. A plant function management support method characterized by this.

4. In the plant function management support method according to Claim 1, when the obtained monitoring parameter values have a range, predicting the secular change of the monitoring parameter based on the peak value on the upper limit side or the lower limit side. A plant function management support method characterized by this.

5. In the plant function management support method according to Claim 1, predicting the secular change of the monitoring parameter based on the obtained monitoring parameter values, obtaining the time when the predicted value of the monitoring parameter reaches the design requirement threshold, and when the time is within the operation period of the plant, setting the predicted value of the secular change of the monitoring parameter at the time obtained by subtracting the action lead time from the start time of the stop period immediately before the operation period as the action threshold, including implementing maintenance or corrective measures for the plant during the stop period. A plant function management support method characterized by this.

6. In the plant function management support method according to Claim 1, When it is determined that the action threshold reset by updating the action threshold is a value at a time earlier than the time corresponding to the action threshold before the update, it is determined that a change different from normal in the monitoring parameter has been detected. A plant function management support method characterized by the above.

7. A plant function management unit that extracts monitoring parameters for monitoring plant required functions and extracts design requirement thresholds of the monitoring parameters for determining maintenance or management in the functions and performance of the plant, A parameter monitoring unit that acquires the monitoring parameters, A parameter determination unit that compares the acquired monitoring parameter values with the design requirement thresholds, An action threshold update unit that predicts the secular change of the monitoring parameter based on the acquired monitoring parameter value, obtains the time when the predicted value of the monitoring parameter reaches the design requirement threshold, and sets the predicted value of the secular change of the monitoring parameter at the time obtained by subtracting the action lead time from the time as the action threshold, The parameter determination unit compares the acquired monitoring parameter value with the action threshold, and when the acquired monitoring parameter value reaches the action threshold, implements maintenance or corrective measures for the plant. A plant function management support device characterized by the above.

8. In the plant function management support device according to Claim 7, The action threshold update unit, Predicts the secular change of the monitoring parameter based on the acquired monitoring parameter value, obtains the time when the predicted value of the monitoring parameter reaches the design requirement threshold, and when the time is the operation period of the plant, sets the predicted value of the secular change of the monitoring parameter at the time obtained by subtracting the action lead time from the start time of the stop period immediately before the operation period as the action threshold, Implement maintenance or corrective measures for the plant during the stop period A plant function management support device characterized by the above.

9. In the plant function management support device according to Claim 7, A parameter change influence determination unit that determines that a change different from normal in the monitoring parameter has been detected when the amount of change per unit time of the monitoring parameter exceeds the allowable change amount, or when it is determined that the action threshold reset by updating the action threshold is a value at a time earlier than the time corresponding to the action threshold before the update. A plant function management support device characterized by the above.

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