JP2020144409A - Plant diagnostic device - Google Patents

Abstract

To provide a plant diagnostic device that can shorten the calculation time of detailed flow field of a piping system of a plant.SOLUTION: A plant diagnostic device includes: a subregion dividing unit that divides a pipe system model into multiple subregions; a zero flow path exclusion unit that excludes the path where the flow rate becomes zero for each sub-region and updates the contents of a sub-region group; a 3D analysis unit that performs 3D fluid analysis and outputs the analysis results as a detailed flow field if contraction data of a selected subregion does not exist when selecting one subregion included in the subregion group; a contraction data generator that generates contraction data from the detailed flow field if the contraction data of the selected subregion does not exist; a contraction analysis unit that calculates the detailed flow field from the contraction data if the contraction data of the selected subregion exists; and a diagnostic unit that diagnoses a plant from the detailed flow field.SELECTED DRAWING: Figure 1

Description

The present invention relates to a plant diagnostic apparatus capable of quantifying the deterioration status of a plant.

In industrial plants such as power generation, petrochemicals, water, and pharmaceuticals, as maintenance costs increase due to aging plant equipment, it is required to operate the plants with high efficiency while suppressing maintenance costs. In response to this, there is an increasing demand for predicting the life of a plant by quantifying the deterioration status of the plant and utilizing it for plant diagnosis.

As a specific example of plant deterioration, it is known that the pipe wall thickness gradually decreases with the passage of operation time due to the flow phenomenon in the pipe system. In order to quantify the state of plant deterioration such as pipe wall thinning, it is necessary to have information on detailed flow fields with strong three-dimensionality that occur in the piping system, and three-dimensional fluid analysis is a means of acquiring detailed flow fields. Used.

As a conventional technique for estimating pipe wall thinning, which is an event of plant deterioration, by utilizing three-dimensional fluid analysis, for example, there is a "method for providing pipe wall thinning prediction information" disclosed in Patent Document 1. In this conventional technique, the behavior of a fluid flowing in a piping system is evaluated by using three-dimensional fluid analysis, and the amount of thinning of the piping is predicted from the change in the behavior of the fluid.

Japanese Unexamined Patent Publication No. 2001-344295

Using the disclosure technology of Patent Document 1, information on the detailed flow field in the piping system is acquired using three-dimensional fluid analysis, and the amount of pipe wall thinning is predicted from the acquired detailed flow field information to determine the deterioration status of the plant. Can be quantified and the plant can be diagnosed.

Here, compared to elemental equipment such as heat exchangers and reactors that occupy only a part of the plant, the piping system that occupies most of the plant has a large spatial scale, so the three-dimensional fluid analysis of the piping system is analyzed. It has the characteristic of being extremely large in scale. In addition, compared to elemental equipment such as heat exchangers, the flow rate conditions of the fluid flowing through the piping system are diverse, and the flow rate conditions in the piping system also change due to the opening and closing of the valves installed in the piping system. As the flow rate condition and the flow path condition increase, the number of analysis cases increases depending on the combination thereof.

Therefore, when the technique disclosed in Patent Document 1 is used for three-dimensional fluid analysis for a piping system, not only the analysis scale of the three-dimensional fluid analysis becomes large, but also a combination of flow rate conditions and flow path conditions is used. Since it is necessary to perform three-dimensional fluid analysis for all the analysis cases by, there is also a problem that it takes a considerable amount of time to calculate the detailed flow field.

The present invention has been made in view of the above circumstances, and when performing a three-dimensional fluid analysis for a piping system of a plant, even if the analysis scale becomes large and the number of analysis cases increases, the details can be obtained in a short time. The purpose is to provide a plant diagnostic device that can be used for plant diagnosis by calculating the flow field and quantifying the deterioration status of the plant from the calculated detailed flow field information.

In order to achieve the above object, the plant diagnostic apparatus of the present invention is installed in the plant and a sub-region division unit that outputs a sub-region group that divides the piping system model of the component of the plant into a plurality of sub-regions. From the operation data having the measured value of the measuring instrument and the time series data of the valve open / closed state and the sub-region group, the path where the flow rate becomes zero for each sub-region based on the valve open / closed state is excluded, and the sub-region When one sub-region included in the sub-region group is selected from the zero flow path exclusion unit that updates the contents of the group, the sub-region group, and the operation data, and the contraction data of the selected sub-region does not exist. Performs a three-dimensional fluid analysis and outputs the analysis result as a detailed flow field. If there is no contraction data of the selected sub-region, the detailed flow field can be obtained from the detailed flow field. The contraction data generator that contracts the detailed flow field and generates contraction data while maintaining the information on the spatial distribution such as flow velocity, pressure, temperature, and time change, and the contraction data of the selected sub-region If present, the contraction analysis unit that calculates the detailed flow field from the operation data and the contraction data, and the deterioration of the plant from the detailed flow field output by the three-dimensional analysis unit or the contraction analysis unit. It is equipped with a diagnostic unit that quantifies the situation and diagnoses the plant.

According to the plant diagnostic apparatus of the present invention, when performing a three-dimensional fluid analysis for a plant piping system, a detailed flow field can be obtained in a short time even when the analysis scale becomes large and the number of analysis cases increases. It can be calculated and the deterioration status of the plant can be quantified from the calculated detailed flow field information and used for plant diagnosis.

Schematic block diagram of the plant diagnostic apparatus of Example 1 An example of a piping system model Example of dividing the piping system model in Fig. 2 into sub-region groups An example of excluding the path where the flow rate becomes zero for the sub-region group in FIG. An example of excluding the path where the flow rate becomes zero for the sub-region group in FIG. Processing procedure of plant diagnosis by the plant diagnosis device of Example 1 Example of calculation time when all analysis cases are calculated by the conventional technology Calculation time example when all analysis cases are calculated according to Example 1. Schematic block diagram of the plant diagnostic apparatus of Example 2 Processing procedure of plant diagnosis by the plant diagnosis device of Example 2

Hereinafter, the plant diagnostic apparatus according to the embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a schematic configuration diagram of the plant diagnostic apparatus 4 according to the first embodiment. As shown here, the plant diagnostic apparatus 4 of this embodiment inputs each data of the 3D model 1, the plant system diagram 2, and the operation data 3, and outputs the diagnostic result 5.

Here, in the 3D model 1, three-dimensional shape information of the equipment, straight pipe, elbow, branch, valve, etc. that compose the plant created by 3D-CAD software is described. For example, regarding the pipe, the pipe length is described. Information on the diameter, pipe wall thickness, and pipe installation position is described. The plant system diagram 2 is also called a piping instrumentation diagram or a P & ID (Piping & Instrument Flow Diagram), and describes information that defines the equipment constituting the plant and the connection relationship between the pipes. The operation data 3 is composed of time-series data of measured values measured by measuring instruments such as flow meters, pressure gauges, and thermometers installed in plant equipment / piping, etc., and time-series data indicating the valve open / closed state. To. Information such as the remaining life of the plant is described in the diagnosis result 5.

The plant diagnostic device 4 quantifies the deterioration status of the plant to be diagnosed based on the input 3D model 1, plant system diagram 2, and operation data 3, and diagnoses the remaining life of the plant from the quantified deterioration status. And output as the diagnosis result 5. The plant diagnostic device 4 is actually a computer such as a personal computer equipped with a computing device such as a CPU, a main storage device such as a semiconductor memory, an auxiliary storage device such as a hard disk, and hardware such as a communication device. .. Then, while referring to the database recorded in the auxiliary storage device, the arithmetic unit executes the program loaded in the main storage device to realize each function described later. In the following, such a well-known technique will be used. The description will be omitted as appropriate.

Next, the details of the configuration of the plant diagnostic apparatus 4 will be described. The plant diagnostic apparatus 4 includes a sub-region division unit 11, a sub-region group 12, a zero flow path exclusion unit 13, a three-dimensional analysis unit 14, a detailed flow field 15, a contraction data generation unit 16, contraction data 17, and contraction analysis. A unit 18 and a diagnostic unit 19 are provided. The sub-region group 12, the detailed flow field 15, and the contraction data 17 are data stored in a storage device or the like, and the arithmetic unit executes a program for other components such as the sub-region division unit 11. It is a function realized by. Each will be described in detail below.

The sub-region division unit 11 constructs the piping system model M based on the input 3D model 1 and the plant system diagram 2, and then divides the piping system model M into a plurality of parts and outputs the piping system model M as a sub-region group 12. Is.

FIG. 2 is an example of excerpting a part of the piping system model M constructed by the sub-region division portion 11. The excerpts of the piping system model M shown here are 12 straight pipes P (P _{1 to} P ₁₂ ), 6 elbows E (E _{1 to} E ₆ ), and 2 branches D (D ₁ , D _2). ), Two valves V (V ₁ , V ₂ ), and one heat exchanger H, and each part is the three-dimensional shape information of the parts read from the 3D model 1 and the plant system diagram. It holds the information that defines the connection relationship between adjacent parts read from 2. The arrows in FIG. 2 indicate the direction of the fluid flow.

The sub-region division unit 11 extracts a portion where the flow fluctuation is small with respect to the piping system model M, divides the piping system model M into a plurality of sub-regions A with this as a boundary B, and outputs it as a sub-region group 12. To do. In the piping system, in general, the fluctuation of the flow is large in the parts other than the straight pipe P, and the fluctuation is small in the straight pipe P toward the downstream side of the flow. Therefore, the sub-region division portion 11 is a straight pipe. The position where the distance from the upstream end of P reaches the predetermined length L is extracted as a portion where the fluctuation of the flow becomes small, and the piping system model M is set as a plurality of sub-regions A with the portion as a candidate for the boundary B. To divide. FIG. 3 is an example in which the piping system model M of FIG. 2 is divided into four sub-regions A. In FIG. 3, among the candidates for boundary B, those on straight pipe P ₂ , straight pipe P ₉ , and straight pipe P ₁₀ are selected as boundaries B ₁ , B ₂ , and B ₃ , and the piping system is based on these boundaries B. dividing the model M into four sub-areas _a 1 to a _4. The reason why not all the extracted candidates are adopted as the boundary B is that even if the sub-region A is subdivided too much, it does not contribute to the reduction of the calculation amount. Therefore, a monotonous sub-region A including only one straight pipe P is used. This is because it is not preferable to generate it.

The sub-region group 12 is data having a plurality of sub-regions A divided by the sub-region division unit 11.

The zero flow rate path exclusion unit 13 receives the sub-region group 12 and the operation data 3 as inputs, excludes the path where the flow rate becomes zero for each sub-region A based on the open / closed state of the valve V, and updates the contents of the sub-region group 12. , Output.

The operation of the zero flow rate path exclusion unit 13 will be described with reference to FIGS. 4 and 5. These figures are examples of the sub-region group 12 shown in FIG. 3 excluding the path where the flow rate becomes zero. In the piping system model M of this embodiment, the combination of the open / closed states of the valve V ₁ and the valve V ₂ is exclusive. If the valve V ₁ is in the open state, the valve V ₂ is in the closed state and the valve V ₁ is in the closed state. If so, the valve V ₂ is in the open state.

FIG. 4 corresponds to the case where the valve V ₁ is in the open state and the valve V ₂ is in the closed state. In this case, the path shown by the dotted line in FIG. 4 (straight pipe P ₅ to straight pipe P ₈ ). Then the flow rate becomes zero. Therefore, the zero flow rate route exclusion unit 13 excludes the route shown by the dotted line with respect to the sub-region A ₂ , and newly registers the excluded region as the sub-region A _2a .

On the other hand, FIG. 5 corresponds to the case where the valve V ₁ is in the closed state and the valve V ₂ is in the open state. In this case, the path shown by the dotted line in FIG. 5 (straight pipe P ₃ to straight pipe P). _{In 4} ), the flow rate becomes zero. Therefore, the zero flow rate route exclusion unit 13 excludes the route shown by the dotted line with respect to the sub region A ₂ , and newly registers the excluded region as the sub region A _2b .

By the above operation, the zero flow rate path exclusion unit 13 registers the sub-region A _2a and the sub-region A _2b , updates the contents of the sub-region group 12, and outputs the contents.

The three-dimensional analysis unit 14 receives the sub-region group 12 and the operation data 3 as inputs, performs a three-dimensional fluid analysis on one sub-region A included in the sub-region group 12, and uses the analysis result as the detailed flow field 15. Output. Since the three-dimensional fluid analysis used here is a well-known technique, detailed description thereof will be omitted.

The detailed flow field 15 describes detailed spatial distributions such as flow velocity, pressure, temperature, etc., and temporal changes for each sub-region A included in the sub-region group 12. The detailed flow field 15 is output as an analysis result of the three-dimensional analysis unit 14 or the contraction analysis unit 18 described later.

The contraction data generation unit 16 takes the detailed flow field 15 as an input, and contracts and contracts the detailed flow field 15 while maintaining information on the spatial distribution such as flow velocity, pressure, temperature, and time change held by the detailed flow field 15. It is output as about data 17. In this contraction data generation unit 16, a desired known technique (for example, Kunihiko Hira, fluid analysis by intrinsic orthogonal decomposition: 1. Basics, flow, Vol.30, 2011, pp.115-123) is utilized to achieve a high dimension. Detailed flow field 15 is reduced to low-dimensional contraction data 17.

The contraction data 17 is data in which the high-dimensional detailed flow field 15 is contracted to a low dimension by using a Fourier transform or the like.

The contraction analysis unit 18 takes the operation data 3 and the contraction data 17 as inputs, calculates the detailed flow field 15 by utilizing a desired known technique, and outputs it as the detailed flow field 15. Here, since the detailed flow field 15 is calculated using the contraction data 17, the calculation time is negligibly shorter than the calculation of the detailed flow field 15 by the three-dimensional analysis unit 14.

The diagnosis unit 19 uses the detailed flow field 15 calculated by the three-dimensional analysis unit 14 or the contraction analysis unit 18 as an input to quantify the deterioration status of the plant to be diagnosed, and diagnoses the remaining life of the plant from the deterioration status. , Output as diagnosis result 5. As a more specific example, the diagnostic unit 19 evaluates the pipe wall thinning speed from the detailed flow field 15 and integrates the pipe wall thinning speed so that the pipe wall thickness is a dangerous level value, that is, the pipe needs to be replaced. Estimate and output the period until the wall thickness is reached.

Next, the processing content of the plant diagnosis by the plant diagnosis device 4 will be described in detail with reference to FIG.

First, in step S1 (sub-region division process), the sub-region division portion 11 constructs the piping system model M from the 3D model 1 and the plant system diagram 2, and then divides the piping system model M into the sub-region group 12. Is output.

In step S2 (zero flow rate path exclusion process), the zero flow rate path exclusion unit 13 excludes a path from which the flow rate becomes zero for each sub-region A based on the open / closed state of the valve V from the sub-region group 12 and the operation data 3. , Updates and outputs the contents of the sub-area group 12.

In step S3 (reduction data generation determination process), the plant diagnostic apparatus 4 selects one sub-region A included in the sub-region group 12, and whether or not the contraction data 17 has been generated for the sub-region A. Is determined. If the determination result is Yes, the process proceeds to step S6 (reduction analysis process), and if No, the process proceeds to step S4 (three-dimensional fluid analysis process).

When the contraction data 17 of the selected sub-region A is not generated, in step S4 (three-dimensional fluid analysis process), the three-dimensional analysis unit 14 selects from the sub-region group 12 and the operation data 3 in step S3. A three-dimensional fluid analysis is performed on the sub-region A, and the detailed flow field 15 is output.

Next, in step S5 (reduction data generation process), the contraction data generation unit 16 contracts the detailed flow field 15 and outputs the contraction data 17.

On the other hand, when the contraction data 17 of the selected sub-region A has already been generated, as step S6 (reduction analysis process), the contraction analysis unit 18 performs a detailed flow field from the operation data 3 and the contraction data 17. 15 is calculated and the detailed flow field 15 is output. Since the contraction analysis unit 18 of this embodiment uses the contraction data 17 generated by the contraction data generation unit 16, according to the flowchart of FIG. 6, step S5 is always performed before the execution of step S6. It is supposed to be executed.

In step S7 (detailed flow field calculation determination process for sub-region A), the plant diagnostic apparatus 4 determines whether or not the detailed flow field 15 has been calculated for all sub-regions A in one analysis case. If the determination result is Yes, the process proceeds to step S8 (detailed flow field calculation determination process for the combination of the flow rate condition Q and the flow path condition R), and if No, the next sub-region A is selected and then step S3 (reduction). Return to the process of determining data generation.

In step S8 (detailed flow field calculation determination process for the combination of the flow rate condition Q and the flow path condition R), the plant diagnostic apparatus 4 for all the analysis cases defined by the combination of the flow rate condition Q and the flow path condition R. Judge whether the detailed flow field has been calculated. If the determination result is Yes, the process proceeds to step S9 (diagnosis process), and if No, the process returns to step S3 (reduction data generation determination process) after selecting the next analysis case.

In step S9 (diagnosis process), the diagnosis unit 19 quantifies the deterioration status of the plant to be diagnosed from the detailed flow field 15, diagnoses the remaining life of the plant from the deterioration status, and outputs the diagnosis result.

Next, the calculation necessary for the calculation of the detailed flow field 15 when the sub-region group 12 (FIGS. 3 to 5) composed of four sub-regions is generated based on the piping system model M (FIG. 2). The amount will be described with reference to FIGS. 7A and 7B. FIG. 7A is a table for explaining the calculation time when the detailed flow field 15 is calculated based on the prior art, and FIG. 7B is a table for explaining the calculation time when the detailed flow field 15 is calculated based on the present embodiment. Is.

Figure 7A, in the example shown in FIG. 7B, the flow condition number is set to 5 conditions (different _Q 1 to Q ₅ of the flow rate). Further, as described above, since the combination of the open / closed states of the valve V ₁ and the valve V ₂ is exclusive, the number of flow path conditions is 2 (R ₁ corresponding to FIG. 4 and R ₂ corresponding to FIG. 5). .. Therefore, the number of analysis cases is calculated as a combination of the number of flow rate conditions and the number of flow path conditions, and is 10 cases.

FIG. 7A shows an example of calculation time when 10 analysis cases are calculated based on the prior art. Here, since the piping system model M to be diagnosed is divided into _four sub-regions A _{1 to} A ₄ as shown in FIG. 3, the calculation time for calculating the detailed flow field for each sub-region A Is the same, and the calculation time of the detailed flow field for one sub-region A is shown as a reference (1 unit), and the calculation time of the detailed flow field for the piping system is shown as a relative value. Since the number of sub-regions is 4, the calculation time per case is 4 units, and the calculation time when 10 cases are calculated is 40 units.

FIG. 7B shows the calculation time when 10 analysis cases are calculated based on this embodiment. According Step S3~ step S8 shown in FIG. 6, it is assumed that the first flow condition _{Q 1,} calculates the analysis cases for the channel condition _{R 1} (Analysis Case _{Q 1} -R 1). For analysis case _Q 1 -R _1, since reduced data is not generated for any of the sub-regions A, sub-regions _{A 1} shown in FIG. 4, the sub-regions _{A 2a,} subregion _A 3, 3D fluid analysis was performed for four sub-areas a of the sub-regions a _4, to generate the reduced data 17. The calculation time for generating the contraction data is shorter than the calculation time for the three-dimensional fluid analysis and can be ignored, so the calculation time is 4 units. Then calculates the flow rate conditions _{Q 1,} it is assumed that calculates an analysis cases for the channel condition _{R 2} (Analysis Case _Q 1 -R _2). For analysis case _Q 1 -R _2, subregion _{A 1} shown in FIG. 5, the sub-regions _{A 2b,} subregion _{A 3,} subregion _{A 4} is analyzed, these sub-regions _{A 1,} subregion A _3, an already generated a reduced data 17 in the analysis case Q ₁ -R ₁ with respect to the sub area a _4, to implement the contraction analysis instead of the three-dimensional fluid analysis. Since for the sub-regions A _2b is not generated reduced data 17, it carried a three-dimensional fluid analysis only subregion A _2b, and generates a reduced data 17. Shorter the calculation time of the contraction analysis is compared with the calculated time of the three-dimensional fluid analysis, it is negligible, the calculation time becomes one unit for analyzing case Q ₁ -R _2. Analysis Case Q ₁ -R _1, In the analysis case Q ₁ -R ₂ other than the analysis cases, since the generated as the reduced data for any of the sub-regions A, to perform all contractions analysis. That is, since it is not necessary to perform the three-dimensional fluid analysis except for the two analysis cases, the calculation time is almost zero. As described above, the calculation time when 10 cases of analysis cases are calculated based on this embodiment is 5 units, which is 1/8 of the calculation time when 40 units when the conventional technique is used.

In this embodiment, once the three-dimensional fluid analysis is performed for each sub-region A, the detailed flow field can be calculated from the contraction data by the contraction analysis, and the flow rate condition Q and the flow path condition R can be calculated. The calculation time for all analysis cases generated by the combination can be significantly reduced.

As described above, in this embodiment, in the three-dimensional fluid analysis for the piping system, the detailed flow field is calculated in a short time even when the analysis scale becomes large and the number of analysis cases increases, and the calculated detailed flow. The deterioration status of the plant can be quantified from the field information and used for plant diagnosis.

Next, the plant diagnostic apparatus 4A according to the second embodiment of the present invention will be described with reference to FIGS. 8 and 9. The duplicate description will be omitted for the parts equivalent to those in the first embodiment.

In the plant diagnostic apparatus 4 of the first embodiment, when diagnosing a plant, it was necessary to always generate contraction data for each sub-region, but in the plant diagnostic apparatus 4A of the present embodiment, it is generated at the time of diagnosing another plant. The calculation time of the detailed flow field 15 is further shortened by accumulating the contraction data and the contraction data generated when the same plant was diagnosed in the past and diverting them as appropriate. Therefore, as shown in FIG. 8, instead of the contraction data generation unit 16 and the contraction data 17 of the first embodiment, in this embodiment, the contraction data search unit 20, the database registration unit (DB registration unit) 21, It includes a contraction data DB 22, a contraction data generation unit 16A, and a contraction data 17A. Hereinafter, the difference in action due to the difference in configuration will be described in detail.

The contraction data search unit 20 inputs the sub-region group 12 and the contraction data DB 22 to search whether or not the contraction data DB 22 includes the sub-region A, and if it is included, the sub-region A is included. The associated contraction data 17A is output. The "reduction data 17A associated with the sub-region A" here means the contraction data generated and stored when the sub-region A was diagnosed in the past, or at the time of diagnosis of another plant. , The contraction data generated and stored for the sub-region A that approximates the configuration of the sub-region A.

The DB registration unit 21 takes the contraction data 17A as an input and registers the contraction data 17A in the contraction data DB 22.

The contraction data DB 22 holds the contraction data 17A generated by the contraction data generation unit 16A.

The contraction data generation unit 16A receives the detailed flow field 15 as an input, and contracts and contracts the detailed flow field 15 while maintaining information on the spatial distribution and time change of the flow velocity, pressure, temperature, etc. held by the detailed flow field 15. It is output as about data 17A. Further, the sub-region A referred to as input data when the three-dimensional analysis unit 14 calculates the detailed flow field 15 is output in association with the contraction data 17A.

The contraction data 17A is the data obtained by reducing the high-dimensional detailed flow field 15 to a low dimension, and the sub-region A referred to as the input data when the three-dimensional analysis unit 14 calculates the detailed flow field 15 is the contraction data. It is described in association.

The above is the difference between the present embodiment and the first embodiment.

Next, the contents of the processing of the plant diagnostic apparatus 4A will be described in detail. FIG. 9 is a processing procedure for plant diagnosis in the plant diagnosis device 4A according to the second embodiment.

The difference between this embodiment and the first embodiment is that instead of step S5, step S7, and step S8, the processing procedures of step S111, step S112, step S105, step S107, and step S108 are performed.

In step S111 (reduction data search process), the reduction data search unit 20 selects one sub-region A included in the sub-region group 12, and the contraction data that can be diverted to the analysis of the sub-region A is reduced. It is determined whether or not the data is included in the data DB 22. If the determination result is Yes, the contraction data 17A associated with the sub-region A is output, and then the process proceeds to step S6 (reduction analysis process). If No, step S3 (reduction data generation determination process) is performed. ).

In step S105 (reduction data generation process), the contraction data generation unit 16A contracts the detailed flow field 15 and outputs the contraction data 17A, and when the three-dimensional analysis unit 14 calculates the detailed flow field 15. The sub-region A referred to as input data is output in association with the contraction data 17A.

In step S107 (detailed flow field calculation determination process for sub-region A), the plant diagnostic apparatus 4 determines whether or not detailed flow fields have been calculated for all sub-regions A in one analysis case. If the determination result is Yes, the process proceeds to step S8 (detailed flow field calculation determination process for the combination of the flow rate condition Q and the flow path condition R), and if No, the next sub-region A is selected and then step S111 (reduction). Return to the data search process).

As step S108 (detailed flow field calculation determination process for the combination of the flow rate condition Q and the flow path condition R), the plant diagnostic apparatus 4 applies the analysis case defined by the combination of the flow rate condition Q and the flow path condition R to all the analysis cases. Judge whether the detailed flow field has been calculated. If the determination result is Yes, the process proceeds to step S9 (diagnosis process), and if No, the process returns to step S111 (reduction data search process) after selecting the next analysis case.

In step S112 (reduction data DB update process), the DB registration unit 21 takes the reduction data 17A as an input and registers the reduction data 17A in the reduction data DB 22.

In this embodiment, all the contraction data 17A are associated with the sub-region A and registered in the contraction data DB 22 at the end of the plant diagnosis process so that the data can be used at the time of the next diagnosis or the diagnosis of another plant. Further, when calculating the detailed flow field 15, it is searched whether or not the corresponding sub-region A is registered in the contraction data DB 22, and if it is registered, the contraction data associated with the sub-region A is searched. Is output. That is, when calculating the detailed flow field 15 of the selected sub-area A in the plant diagnosis process, if the selected sub-area A is a sub-area A registered in the past plant diagnosis process, it is associated with the sub-area A. The detailed flow field can be calculated by extracting the reduced contraction data and performing the contraction analysis from the extracted contraction data. As a result, if the contraction data has been created for the sub-region A to be diagnosed by the past plant diagnosis, the detailed flow field is calculated from the contraction data by the contraction analysis without performing the three-dimensional analysis. Therefore, the calculation time can be further shortened as compared with the first embodiment. For example, if all the necessary contraction data 17A can be diverted, the calculation time of the detailed flow field 15 can be shortened to almost zero units.

As described above, in this embodiment, in addition to the effects obtained in Example 2, the contraction data that can be used for the sub-region A to be diagnosed at the time of past plant diagnosis or at the time of diagnosis of another plant. If has been created, the detailed flow field can be calculated from the contracted data by the contraction analysis without performing the three-dimensional analysis, so that the calculation time can be further shortened.

1 3D model 2 Plant system diagram 3 Operation data 4, 4A Plant diagnostic device 5 Diagnosis result 11 Sub-region division section 12 Sub-region group 13 Zero flow path exclusion section 14 Three-dimensional analysis section 15 Detailed flow section 16, 16A Contraction data generation Units 17, 17A Contraction data 18 Contraction analysis unit 19 Diagnosis unit 20 Contraction data search unit 21 DB registration unit 22 Contraction data DB

Claims (5)

A plant diagnostic device that diagnoses plants
A sub-region division unit that outputs a sub-region group that divides the piping system model of the component of the plant into a plurality of sub-regions, and
Exclude from the operation data having the measured values of the measuring instruments installed in the plant and the time series data of the valve open / closed state and the sub-region group, the path where the flow rate becomes zero for each sub-region based on the valve open / closed state. Then, the zero flow path exclusion unit that updates the contents of the sub-region group,
One sub-region included in the sub-region group is selected from the sub-region group and the operation data, and if the contraction data of the selected sub-region does not exist, a three-dimensional fluid analysis is performed and the analysis result is obtained. A 3D analysis unit that outputs as a detailed flow field,
When the contraction data of the selected sub-region does not exist, the detailed flow field is contracted from the detailed flow field while maintaining the spatial distribution such as flow velocity, pressure, temperature, and time change information possessed by the detailed flow field. A contraction data generator that contracts and generates contraction data,
If there is contraction data for the selected sub-region, a contraction analysis unit that calculates the detailed flow field from the operation data and the contraction data,
A diagnostic unit that quantifies the deterioration status of the plant from the detailed flow field output by the three-dimensional analysis unit or the contraction analysis unit and diagnoses the plant.
A plant diagnostic device characterized by comprising. In the plant diagnostic apparatus according to claim 1,
The sub-region division unit obtains the piping system model from a 3D model having three-dimensional shape information of each component of the plant and a plant system diagram having definition information of a connection relationship between the components of the plant. A plant diagnostic device characterized by being constructed. In the plant diagnostic apparatus according to claim 1 or 2.
The sub-region division portion extracts a portion having a straight pipe length equal to or longer than a length specified for a straight pipe, which is one of the components, and divides the piping system model into a plurality of sub-regions at the portion. A plant diagnostic device characterized by outputting subregion groups. In the plant diagnostic apparatus according to any one of claims 1 to 3.
Further, a contraction data DB in which the contraction data generated in the past is registered, and
It searches whether or not the contraction data related to the selected sub-region is registered in the contraction data DB, and if it is registered, outputs the contraction data related to the selected sub-region. About data search department and
A plant diagnostic device characterized by being equipped. In the plant diagnostic apparatus according to claim 4,
Further, when the contraction data related to the selected sub-region is not registered in the contraction data DB, the contraction data generated by the contraction data generation unit is associated with the sub-region. DB registration unit to be registered in the contraction data DB,
A plant diagnostic device characterized by comprising.

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