JP2000097815A - Plant remaining life management device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate the remaining life of an instrument based on the operation state of a plant, and to obtain support information for drawing up a suitable maintenance plan, by utilizing the history of part exchange and a skin cut as the data. SOLUTION: This management device is equipped with a life evaluation data memory part 101 for memorizing the start-and-stop number of times, operation hours or the like, an exchange record data memory part 102 for memorizing the time, the number of times or the like of part exchange of equipments and instruments, a skin cut record data memory part 103 for memorizing the time or the like of a skin cut executed in each part of the equipments and instruments, a secular parameter calculation part 104 for calculating the operation hours or the like of the instruments till the life evaluation time, a deterioration tendency prediction part 105 for calculating the increasing rate of a fatigue damaged rate ϕf and the increasing rate of a creep damaged rate ϕc, and a remaining-life prediction part 106 for calculating remaining lives of each part of the equipments and instruments based on linear fracture mechanics by using the increasing rates of the fatigue damaged rate ϕf and the creep damaged rate ϕc.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention is applied to various types of plants, such as thermal power plants, nuclear power plants, and chemical plants, and accumulates remaining life evaluation data of equipment.
The present invention relates to a remaining life management device for a plant, which obtains support information for formulating a maintenance schedule for equipment of a plant by predicting the tendency of deterioration of the equipment.

[0002]

2. Description of the Related Art In consideration of the recent situation in power plants and the like, the construction of new plants in the future tends to be suppressed, while the ratio of thermal power plants with long operating hours for existing facilities has been reduced. It is increasing every year. Therefore, the necessity of effectively utilizing the long-term operation plant in the present and future is greatly increased as compared with the related art.

[0003] Meanwhile, high-temperature components of a long-term operation plant may be deteriorated in material due to high temperature and long-term use. In addition, frequent startup and shutdown by DSS operation as an intermediate load thermal power, Load adjustment operation and the like are being performed, and the use conditions of the plant are becoming severer than at the time of construction, and the deterioration of components tends to be further accelerated.

[0004] From this, in order to operate the plant stably and economically, it is essential to accurately grasp the deterioration state of the equipment and to predict the life of the equipment in accordance with the prediction of future plant operation. It has become.

Under these circumstances, conventionally, as disclosed in, for example, JP-A-6-331507, the operating state of a plant, the operating state of equipment, the environmental state, and the like are detected. There has been proposed a method of accumulating detection data and accumulating various other inspection data of a plant, and diagnosing a state of the plant based on history information of the plant including the accumulated detection data and inspection data.

[0006]

However, in the above-mentioned conventional method, there are various problems such as insufficient use of data and inability to cope with future operation prediction as described below.

(1) When the operation mode of the plant changes from the base operation to the DSS operation or from the DSS operation to the base operation, the remaining life years cannot be recalculated. It was not possible (DSS (Day Start Stop) operation to start and stop every day. For example, stop in the evening and start in the next morning).
Therefore, it was almost impossible to formulate maintenance based on future operation forecasts.

(2) The history of parts replacement and skin cutting of plant equipment has not been quantitatively and objectively used for maintenance planning. Here, skin cutting refers to trimming the surface layer at the stress concentration site. For example, fatigue due to repetitive stress accumulates at a stress concentration portion of a structure. As the number of repetitions increases, the accumulation of fatigue increases and microcracks occur. By performing skin cutting on such a portion, the fatigue life is recovered.

(3) Conventional remaining life prediction is performed for each plant,
Although it is performed for each device and each site, it is difficult to perform highly accurate life prediction because the number of remaining life evaluation data accumulated so far for each plant and each device is small.

(4) The remaining life evaluation is performed for each plant, each device, and each part, and the remaining life of the part where the rate of increase of the damage amount is the largest is empirically determined as the remaining life of the equipment.
In addition, the deterioration tendency of each part is variable depending on the operating condition of the plant, and the remaining life of the equipment is also changed by the change of the fatigue damage rate due to maintenance such as skin cut of a specific part. It was difficult to evaluate the maintenance time of the equipment objectively based on the change of the rate.

The present invention has been made to solve these problems. In particular, by using the history of parts replacement and skin cut as data, the remaining life of equipment is estimated based on the operation state of the plant, It is an object of the present invention to provide a plant remaining life management device capable of obtaining support information for formulating an appropriate maintenance plan.

[0012]

In order to achieve the above object, according to the first aspect of the present invention, the operation history of a plant and life evaluation data due to damage to the plant equipment are accumulated, and the equipment equipment is stored based on the accumulated data. A plant remaining life management device that obtains support information for formulating a maintenance schedule for the equipment by predicting a deterioration tendency of the plant;
Fatigue damage rate φf and creep damage rate φc obtained by performing a life evaluation for each part of the facility equipment, time when the life evaluation was performed, and the number of start and stop times from the start of plant operation to the life evaluation And a service life evaluation data storage unit for storing the operating time and the replacement performance data for storing the time at which the parts of the equipment were replaced, the number of times of starting and stopping and the operating time from the start of the plant operation to the replacement of the parts. A storage unit; a skin cut result data storage unit that stores a time of the skin cut performed for each part of the equipment, a start / stop count and an operation time from the start of the plant operation to the time of the skin cut; The number of start / stop times of the part to be skin cut from the latest skin cut before the evaluation time to the life evaluation time, and the latest part before the life evaluation time An aging parameter calculation unit for calculating the operation time of the device from the time of replacement to the time of its life evaluation; an increase rate of the fatigue damage rate φf with respect to the latest number of parts replacement or the number of start / stops from skin cut before the life evaluation. And the creep damage rate φc with respect to the operation time from the latest parts replacement before the life evaluation.
A deterioration tendency prediction unit for calculating the rate of increase of the fatigue damage rate φf and the increase rate of the coup damage rate φc calculated by the deterioration tendency prediction unit, and for each part of the equipment based on linear fracture mechanics. And a remaining life estimating unit for calculating the remaining life.

According to the second aspect of the present invention, in addition to the plant remaining life management device according to the first aspect, a future operation plan input unit for inputting a plant operation plan after the latest life evaluation for each part of each equipment is provided. A remaining life predicting unit that calculates an increase amount of a fatigue damage rate φf and a creep damage rate φc with respect to a future elapsed number of years, and calculates a remaining life of each part of the facility equipment. Provide equipment.

According to the third aspect of the present invention, the operation histories of a plurality of plants and the life evaluation data due to the damage of each plant equipment are accumulated, and the deterioration tendency of the equipment in a specific plant is predicted based on the accumulated history. A remaining life management device for obtaining support information for formulating a maintenance schedule for the equipment in the plant; fatigue obtained by performing a life evaluation for each part of the equipment in the plurality of plants. A life evaluation data storage unit for storing the damage rate φf and the creep damage rate φc, the time when the life evaluation was performed, the number of times of starting and stopping and the operation time from the start of plant operation to the life evaluation; Plant data that stores the plant name or other specifications for each plant when storing data in the data storage unit A storage unit; a replacement result data storage unit for storing a time at which parts of the equipment are replaced, a start / stop count and an operation time from the start of plant operation to the replacement of the parts; and a part of the equipment. A skin cut result data storage unit for storing the time of the skin cut performed at the time, the number of start / stop times and the operation time from the start of the plant operation to the time of the skin cut; and the latest skin cut before the life evaluation time. An aging parameter calculation unit that calculates the number of times of starting and stopping of the part to be skin-cut before the life evaluation and the operation time of the device from the time of the latest component replacement before the life evaluation to the life evaluation; The rate of increase of the fatigue damage rate φf with respect to the number of times of starting and stopping from the latest part replacement or skin cut before the life evaluation was calculated, and the life was calculated. A deterioration tendency predicting unit for calculating an increase rate of the creep damage rate φc with respect to an operation time from the latest part replacement before the evaluation; and the fatigue damage rate φf and the coup damage rate φc calculated by the deterioration tendency prediction unit A remaining life prediction unit that calculates a remaining life for each part of the equipment based on linear fracture mechanics using an increase rate of the plant; and a similar plant from the plant data storage unit when managing the remaining life of the specific plant. And a similar plant data search unit for extracting data stored in the life evaluation data storage unit for the similar plant. The deterioration tendency prediction unit includes a remaining life management of the specific plant. The present invention also provides a plant remaining life management device, wherein a deterioration tendency prediction is performed using data of the similar plant at the time of (1).

According to a fourth aspect of the present invention, in addition to the plant remaining life management apparatus according to any one of the first to third aspects, an equipment holding part storage unit for storing parts owned by each equipment is provided. And a device remaining life determining unit that determines the remaining life of the smallest part among the remaining life calculated by the remaining life predicting unit for each part as the remaining life of the equipment. I will provide a.

According to a fifth aspect of the present invention, in the plant remaining life management apparatus according to any one of the first to fourth aspects,
A regular inspection time storage unit that stores a periodic inspection time for each plant, and a device replacement time estimation unit that determines the furthest future periodic inspection time when the remaining life of the device does not fall below 0 as a recommended component replacement time for the device, The present invention provides a plant remaining life management device characterized by comprising:

[0017]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a remaining life management system for a plant according to the present invention will be described below with reference to the drawings.

First Embodiment (FIGS. 1, 2 and Tables 1 to 7) In this embodiment, an example of estimating the remaining life of a high-pressure internal casing in a steam turbine plant will be described. FIG.
Shows the device configuration of the present embodiment.

As shown in FIG. 1, in the present embodiment, the service life evaluation data storage unit 101, the replacement performance data storage unit 102, and the skin cut performance data storage unit 10 are roughly classified.
3, an aging parameter calculation unit 104, a deterioration tendency prediction unit 105, and a remaining life prediction unit 106.

The life evaluation data storage unit 101 stores, as life evaluation data, a fatigue damage rate φf at the time of life evaluation of a part.
And the creep damage rate φc, the time at the time of life evaluation, the operation time of the plant at the time of life evaluation, and the number of times of starting and stopping are stored. Note that the fatigue damage rate φf and the creep damage rate φ
The method of calculating c will be described later.

Table 1 below shows, as tabular data, the results of the life evaluation at the first-stage steam chamber corner of the high-pressure external compartment.
4 shows an example stored in the life evaluation data storage unit 101.

[0022]

[Table 1]

In the exchange result data storage unit 102,
As the component replacement history, the time when the component and the component are replaced, the operating time of the plant at the time of the component replacement, and the number of times of starting and stopping are stored for each component replacement.

Table 2 below shows an example in which the results of component replacement for the high-pressure outer casing, the main steam stop valve, and the high-to-medium pressure rotor are stored in the replacement result data storage unit 102.

[0025]

[Table 2]

The actual skin cut data storage unit 10
In 3, as the skin cut history of the part, for each skin cut, the device, the part, the time at the time of skin cut, the operating time of the plant at the time of skin cut, and the number of times of starting and stopping are stored.

Table 3 below shows an example in which the skin cut results for the high-pressure outer casing, the high-medium-pressure rotor, and the high-pressure inner casing are stored in the skin-cut result data storage unit 103.

[0028]

[Table 3]

The aging parameter calculation unit 104 uses the device to be subjected to the life evaluation data, the component replacement result data of the device, and the skin cut result data of the device as the device operation time before the life evaluation. The operation time from the latest component replacement to the time of life evaluation is calculated, and the number of start and stop from the latest component replacement or skin cut to the life evaluation before the life evaluation is calculated as the part start / stop count.

FIG. 2 and Table 4 below show the aging parameter calculation unit 104 to calculate the operation time after the latest component replacement before the life evaluation, the latest component replacement before the life evaluation or the start / stop after the skin cut. 9 schematically illustrates a method of calculating the number of times.

[0031]

[Table 4]

In the service life evaluation in Table 4 above, since there is no previous record of parts replacement and skin cutting, the number of start and stop of the parts is the number of start and stop during the period a shown in FIG. The driving time is between. In the life evaluation, since the component replacement has been performed once before, the number of times of starting and stopping the parts is the number of times of starting and stopping during the period b shown in FIG. 2, and the device operating time is the operating time during the period b. . In the service life evaluation, component replacement and skin cut have been performed once each before, the number of start and stop of the part is the number of start and stop during the period c, and the device operation time is the period d.
The driving time is between. Table 5 below shows the equipment name "high-pressure interior compartment" and the part name "first-stage steam chamber corner".
2 shows an example in which the device operating time and the number of times of starting and stopping the parts are calculated.

[0033]

[Table 5]

The deterioration tendency predicting unit 105 calculates, as a fatigue deterioration index, an increasing rate of the fatigue damage rate φf with respect to the latest part replacement or skin cut before the life evaluation at the time of the life evaluation, and a life deterioration index as the creep deterioration index. Creep damage rate φc for the latest parts replacement before evaluation
Is calculated by the least squares method. Furthermore, as the deterioration of the sites proceeds according fatigue index and creep deterioration index calculated in the coordinate system of the "fatigue damage rate φf- site start-stop number N _B", the equation for predicting the degradation tendency as follows calculate.

[0035]

(Equation 1)

In the coordinate system of “creep damage rate φc−equipment operation time T _K ”, an equation for predicting the tendency of deterioration is calculated as follows.

[0037]

(Equation 2)

[0038] Table 6 below, the degradation trend prediction unit 105, and fatigue deterioration index a _1, then calculates a creep deterioration index a _2, the fatigue index a ₁ and creep deterioration index a ₂
5 shows an example in which a formula for the tendency of deterioration of a part is calculated using the above formulas.

[0039]

[Table 6]

Further, the remaining life estimating unit 106 calculates the annual average number of actual start and stop times of the plant and the annual average average number of start and stop times of the plant by the following method, and calculates the remaining life. Here, the relationship between φc and φf is expressed as follows.

[0041]

(Equation 3)

According to the linear fracture mechanics, a straight line indicating the crack initiation limit is expressed as follows.

[0043]

## EQU4 ## φ _f = −φ _c +1 (4)

The intersection of the above equations (3) and (4) is determined, the equipment operating time at the time of crack occurrence is calculated by the intersection φc and the above equation (2), and the number of years elapsed since the start of plant operation and the plant operation From the ratio with time, the remaining life of the part is calculated as follows.

[0045]

(Equation 5)

Table 7 below shows the deterioration tendency prediction unit 105.
5 shows an example in which the remaining life of a part is calculated from the equation of the deterioration tendency calculated in (1).

[0047]

[Table 7]

As described above, according to the remaining life management system for a plant of the present embodiment, the aging parameters, the fatigue damage rate, and the creep damage rate are determined for each part by using the parts replacement of the equipment and the skin cut time of the part. Relationship can be objectively and quantitatively grasped. Therefore, the deterioration tendency of the part can be managed with high accuracy, and the remaining life can be predicted with high accuracy.

Second Embodiment (FIG. 3, Tables 8 to 10) In this embodiment, an apparatus for adding a future operation plan of a plant to the estimation of the remaining life of parts will be described. FIG.
Shows the device configuration of the present embodiment.

As shown in FIG. 3, in the present embodiment,
Life evaluation data storage unit 201, replacement performance data storage unit 202, skin cut performance data storage unit 203, aging parameter calculation unit 204, deterioration tendency prediction unit 205
Remaining life prediction unit 206 and future operation plan input unit 20
7 is provided.

The life evaluation data storage unit 201, replacement performance data storage unit 202, skin cut performance data storage unit 203, aging parameter calculation unit 204, deterioration tendency prediction unit 205, and remaining life prediction unit 206 are described in the first embodiment. Since it has the same function as the components (101 to 106) shown in the embodiment, description thereof will be omitted.

In the future operation plan input unit 207 of this embodiment, an operation plan after the latest life evaluation is input. Table 8 below shows an example in which the expected average operation time in the future and the expected average number of start / stops in the year are input to the future operation plan input unit as the operation plan.

[0053]

[Table 8]

In the present embodiment, the remaining life estimating unit 206 calculates the following (6) based on the average annual operation time in the future and the average number of start / stops in the year input by the future operation plan input unit 207. The remaining life of the part is calculated by the formula.

[0055]

(Equation 6)

Tables 9 and 10 below show examples in which the remaining life of a part is calculated by the above-described remaining life calculation method based on an operation plan after the latest remaining life evaluation of the part.

[0057]

[Table 9]

[0058]

[Table 10]

Based on the operation plan after the latest life evaluation described above, a calculation of a remaining life prediction for a change in the deterioration tendency is performed. In the above example, the remaining life was calculated as 8.6 years based only on past operation results,
It was clearly understood that the future life plan would be 11.4 years by adopting the future operation plan as an input value.

According to the remaining life management system for a plant of the present embodiment, the future operation plan of the plant is added to the prediction of the remaining life of the parts, so that the accuracy of the remaining life prediction is further improved.

Third Embodiment (FIG. 4, Tables 11 to 14) In this embodiment, the life expectancy of a part is estimated by taking into account the remaining life evaluation data of a similar plant when estimating the life of the part. An apparatus for improving accuracy will be described. FIG. 4 shows the device configuration of the present embodiment.

As shown in FIG. 4, in this embodiment,
Life evaluation data storage unit 301, replacement performance data storage unit 302, skin cut performance data storage unit 303, aging parameter calculation unit 304, deterioration tendency prediction unit 305
, Remaining life prediction unit 306, plant data storage unit 30
7, a search condition input unit 308, and a similar plant data search unit 309.

The replacement performance data storage unit 302, the skin cut performance data storage unit 303, the aging parameter calculation unit 304, the deterioration tendency prediction unit 305, and the remaining life prediction unit 3
06 has the same functions as those of the same components in the first and second embodiments, and a description thereof will be omitted.

The life evaluation data storage unit 301 of this embodiment
In this embodiment, data from a plurality of plants is taken in, and in addition to the storage contents of the first and second embodiments, a display of a plant to be subjected to life evaluation is stored for each life evaluation data. The plant data storage unit 307 stores search parameters for each life evaluation data. In the search condition input unit 308, conditions for extracting the life evaluation data are input, using the search parameters stored in the plant data storage unit 307 as conditions. In the similar plant data search unit 309, the life evaluation data that matches the condition input by the search condition input unit 308 is extracted under the and condition.

Table 11 below shows the life evaluation data storage unit 3
The example in which the target plant name of the life evaluation is stored for each life evaluation data stored in No. 01 is shown.

[0066]

[Table 11]

Table 12 below shows an example in which the plant data storage unit 307 stores the generator output, frequency, and main steam temperature.

[0068]

[Table 12]

In this example, the generator output, the frequency, and the main steam temperature are stored in the plant data storage unit 307, but the equipment name, site name, plant name, main steam pressure, material name, etc. are stored. Is also good.

Table 13 below shows an example in which the search condition input unit 308 uses the generator output and the frequency as search conditions.

[0071]

[Table 13]

In this example, the search conditions are generator output and frequency. However, a plurality of arbitrary search parameters stored in the plant data storage unit 307 can be input as search conditions.

Table 14 below shows that the similar plant data search unit 309 sets the search conditions to the generator outputs 300 MW to 400 M
W and a frequency of 60 Hz are shown as an example of a search result obtained under these conditions.

[0074]

[Table 14]

According to the remaining life management system of the present embodiment, the various life evaluation data of the similar plant as described above can be used for the prediction of the remaining life of the target plant. Since the number of groups increases, the accuracy of remaining life prediction can be further improved.

Fourth Embodiment (FIG. 5, Table 15) In this embodiment, the parts possessed by the device are stored, and the remaining life time of the part having the shortest remaining life time of a plurality of parts is stored in the same device. A device for determining the remaining life of the device will be described. FIG. 5 shows the device configuration of the present embodiment.

As shown in FIG. 5, in the present embodiment,
Life evaluation data storage unit 401, replacement performance data storage unit 402, skin cut performance data storage unit 403, aging parameter calculation unit 404, and deterioration tendency prediction unit 405
, Remaining life prediction unit 406, and machine owned site storage unit 407
And a device remaining life determining unit 408.

The life evaluation data storage unit 401, the replacement performance data storage unit 402, the skin cut performance data storage unit 403, the aging parameter calculation unit 404, the deterioration tendency prediction unit 405, and the remaining life prediction unit 406 are the same as those described above. Since it has the same function as the embodiment, the description is omitted.

The equipment holding part storage unit 407 of this embodiment stores the parts of each equipment, and the equipment remaining life determining unit 408 calculates all parts of the same plant and the same equipment calculated by the remaining life prediction unit 406. The remaining life time having the smallest remaining life time among the remaining life times is determined as the remaining life of the device.

Table 15 below shows that the target equipment is the “high-to-medium pressure rotor”, and the parts “IP1 paragraph outer surface” and “HP1
An example is shown for a case having a “paragraph center hole”.

[0081]

[Table 15]

In this example, as shown in Table 15 (1), the remaining life of the “IP1 paragraph outer surface”, which is a part of the high-to-medium pressure rotor, is 3.5 years and the “HP1 paragraph center hole” Since the remaining life of the rotor is 5.3 years, as shown in the table (2), the remaining life of the high and medium pressure rotor is determined to be 3.5 years.

According to the plant life management system of the present embodiment, the change of the operation state, the damage state of the part due to the part replacement and the skin cut can be quantitatively grasped, and the remaining life of the equipment is objectively and quantitatively evaluated. It becomes possible.

Fifth Embodiment (FIG. 6, Tables 16 and 17) In this embodiment, the operation time of a device is objectively and quantitatively grasped by the remaining life of the device until immediately before the end of the life of the device. An apparatus for enabling effective operation will be described. FIG. 6 shows the device configuration of the present embodiment.

As shown in FIG. 6, in this embodiment,
Life evaluation data storage unit 501, replacement performance data storage unit 502, skin cut performance data storage unit 503, aging parameter calculation unit 504, and deterioration tendency prediction unit 505
, Remaining life prediction unit 506 and future operation plan input unit 507
And the remaining equipment life determining unit 508 and the regular inspection time storage unit 50
9 and a device replacement time estimation unit 510.

The life evaluation data storage unit 501, the replacement performance data storage unit 502, the skin cut performance data storage unit 503, the aging parameter calculation unit 504, the deterioration tendency prediction unit 505, and the remaining life prediction unit 506 are the first embodiment. Acts the same as The future operation plan input unit 507 operates in the same manner as in the second embodiment. The device remaining life determining unit 508 determines the fourth
It works the same as the embodiment.

The regular inspection time storage unit 509 stores the periodic inspection time for each plant.

Table 16 below shows an example of the scheduled start of the regular inspection.

[0089]

[Table 16]

Tables 17 (1) and (2) below show that
An example of the above-mentioned extra service life and recommended replacement schedule is shown below.

[0091]

[Table 17]

In the examples shown in these tables, the recommended life of the high-medium pressure rotor is 0.1 year at the time of the eight regular inspections and the life calculation result is negative at the nine regular inspections. The replacement period is set to eight regular inspections.

According to the remaining life management device for a plant of the present embodiment, the operating time of the equipment until immediately before the end of the life of the equipment due to the remaining life of the equipment can be objectively and quantitatively grasped. can do.

[0094]

As described in detail above, according to the plant remaining life management apparatus of the present invention, equipment of various plants, such as a rotor, a blade, and a main valve of a power plant, It is possible to clearly estimate the remaining life of equipment based on the operation state of the plant, obtain support information for formulating an appropriate maintenance plan, and realize an effective plant life management system. Become.

[Brief description of the drawings]

FIG. 1 is an explanatory diagram showing a device configuration according to a first embodiment of the present invention.

FIG. 2 is a functional explanatory diagram in the embodiment.

FIG. 3 is an explanatory diagram showing a device configuration according to a second embodiment of the present invention.

FIG. 4 is an explanatory diagram showing a device configuration according to a third embodiment of the present invention.

FIG. 5 is an explanatory diagram showing a device configuration according to a fourth embodiment of the present invention.

FIG. 6 is an explanatory diagram showing an apparatus configuration according to a fifth embodiment of the present invention.

[Explanation of symbols]

 101 Life Evaluation Data Storage Unit 102 Replacement Result Data Storage Unit 103 Skin Cut Result Data Storage Unit 104 Aging Parameter Calculation Unit 105 Deterioration Trend Prediction Unit 106 Remaining Life Prediction Unit 201 Life Evaluation Data Storage Unit 202 Replacement Result Data Storage Unit 203 Skin Cut Result Data storage unit 204 Aging parameter calculation unit 205 Deterioration tendency prediction unit 206 Remaining life prediction unit 207 Future operation plan input unit 301 Life evaluation data storage unit 302 Replacement performance data storage unit 303 Skin cut performance data storage unit 304 Aging parameter calculation unit 305 Deterioration Trend prediction unit 306 Remaining life prediction unit 307 Plant data storage unit 308 Search condition input unit 309 Similar plant data search unit 401 Life evaluation data storage unit 402 Replacement result data storage unit 403 Skin cut result data storage Unit 404 Aging parameter calculation unit 405 Deterioration tendency prediction unit 406 Remaining life prediction unit 407 Equipment holding part storage unit 408 Equipment remaining life determination unit 501 Life evaluation data storage unit 502 Replacement result data storage unit 503 Skin cut result data storage unit 504 Aging parameter Calculation unit 505 Deterioration trend prediction unit 506 Remaining life prediction unit 507 Future operation plan input unit 508 Equipment remaining life determination unit 509 Regular inspection time storage unit 510 Equipment replacement time estimation unit

Claims (5)

[Claims] 1. An operation history of a plant and life evaluation data due to damage to the plant equipment and the like are accumulated, and a deterioration tendency of the equipment is predicted on the basis of the accumulated data, so that a maintenance schedule for the equipment is formulated. A plant remaining life management device for obtaining support information; a fatigue damage rate φf and a creep damage rate φc obtained by performing a life evaluation for each part of the equipment, a time when the life evaluation was performed, and a plant A life evaluation data storage unit for storing the number of times of starting and stopping and the operating time from the start of operation to the life evaluation thereof; the time when parts of the equipment are replaced, and the start from the start of plant operation to the part replacement. An exchange result data storage unit for storing the number of stoppages and the operation time; a time of a skin cut performed for each part of the equipment; A skin cut result data storage unit for storing the number of times of starting and stopping and the operation time from the start of the rotation to the time of the skin cut; and a target of the skin cut from the latest skin cut before the life evaluation to the life evaluation. An aging parameter calculation unit that calculates the number of start / stops of the part and the operating time of the device from the time of the latest component replacement before the life evaluation to the time of the life evaluation; the latest component replacement before the life evaluation or Deterioration tendency prediction for calculating the rate of increase of the fatigue damage rate φf with respect to the number of times of starting and stopping from skin cut, and calculating the rate of increase of the creep damage rate φc with respect to the operation time from the latest component replacement before the life evaluation. Part; using the rate of increase of the fatigue damage rate φf and the rate of the coup damage rate φc calculated by the deterioration tendency prediction part, And the remaining service life prediction unit for calculating a remaining life for each portion of the equipment in Zui;
A remaining life management device for a plant, comprising: 2. The system according to claim 1, further comprising: a future operation plan input section for inputting a plant operation plan for each part of each equipment after the latest life evaluation. A calculating unit for calculating an increase amount of the fatigue damage rate φf and a creep damage rate φc with respect to an elapsed number of years in the future, and calculating a remaining life of each part of the equipment; 3. Accumulation of operation histories of a plurality of plants and life evaluation data due to damage of each plant equipment and the like, and predicting a deterioration tendency of the equipment in a specific plant based on the accumulated data. A plant remaining life management device for obtaining support information for formulating a maintenance schedule for the equipment, wherein a fatigue damage rate φf and a creep obtained by performing a life evaluation for each part of each equipment in the plurality of plants. Damage rate φc
And a life evaluation data storage unit for storing the time when the life evaluation was performed, the number of times of starting and stopping and the operation time from the start of plant operation to the life evaluation thereof; and the storage of data in the life evaluation data storage unit. A plant data storage unit for storing a plant name or other specifications for each plant at the time; a time at which a component replacement of the equipment is performed;
An exchange result data storage unit for storing the number of times of starting and stopping and the operation time from the start of plant operation to the time of replacement of the parts; the time of skin cut performed for each part of the equipment; A skin cut result data storage unit for storing the number of times of start and stop and the operation time until the time; the number of times of start and stop of a part to be subjected to skin cut from the latest skin cut before the life evaluation to the time of the life evaluation; An aging parameter calculation unit for calculating the operation time of the device from the time of the latest component replacement before the life evaluation to the time of the life evaluation; the latest component replacement before the life evaluation or the start / stop from skin cut The increase rate of the fatigue damage rate φf with respect to the number of times is calculated, and the operation time from the latest component replacement before the life evaluation is calculated. A deterioration tendency prediction unit for calculating an increase rate of the creep damage rate φc; and using the fatigue damage rate φf and the increase rate of the coup damage rate φc calculated by the deterioration tendency prediction unit, based on linear fracture mechanics. A remaining life estimating unit for calculating a remaining life for each part of the equipment; searching for a similar plant from the plant data storage unit when managing the remaining life of the specific plant; A similar plant data search unit for extracting data stored in the evaluation data storage unit; wherein the deterioration tendency prediction unit uses the data of the similar plant when managing the remaining life of the specific plant. A plant remaining life management device, which performs prediction. 4. In addition to the plant remaining life management device according to any one of claims 1 to 3, an equipment holding part storage unit for storing parts owned by each equipment, and a remaining life for each part in the same equipment. A plant remaining life management device, comprising: a device remaining life determining unit that determines the remaining life of the smallest part among the remaining life calculated by the prediction unit as the remaining life of the device. 5. The remaining life management system for a plant according to claim 1, wherein a regular inspection time storage unit for storing a periodic inspection time for each plant, and wherein the remaining life of the equipment is zero.
And a device replacement time estimating unit that determines a furthest future periodic inspection time not less than the recommended component replacement time of the device as a recommended component replacement time.