JP2021162476A - Thickness reduction diagnostic system for valve, thickness reduction diagnostic method for valve and thickness reduction diagnostic service for valve - Google Patents

Abstract

To provide a thickness reduction diagnostic system for a valve, a thickness reduction diagnostic method for a valve and a thickness reduction diagnostic service for a valve that enable thickness reduction of a valve inner wall to be diagnosed for each area in a valve.SOLUTION: A thickness reduction diagnostic system 100 for a valve comprises: a flow channel shape generation unit 102 which generates flow channel shape data; a mesh generation unit 103 which divides a flow channel region into small regions to generate meshes; a fluid state quantity calculation unit 104 which calculates a fluid state quantity in each small region; a thickness reduction speed calculation unit 105 which calculates a thickness reduction speed in each region of an inner wall of a valve 1; a cumulative thickness reduction quantity calculation unit 106; and a data storage unit 108. A thickness reduction diagnostic method for a valve comprises: dividing the flow channel region into the plurality of small regions and calculating a fluid state quantity of each small region; and calculating a thickness reduction speed and a cumulative thickness reduction quantity of each small region of the valve. In a thickness reduction diagnostic service for a valve, a server receives information specifying valve shape data, and transmits data on a cumulative thickness reduction quantity calculated based upon the valve shape data to a client.SELECTED DRAWING: Figure 1

Description

The present invention relates to a valve thinning diagnosis system for diagnosing valve thinning, a valve thinning diagnosis method, and a valve thinning diagnosis service.

Patent Document 1 describes a valve management system that narrows down valves to be maintained for valves in a plant. In Patent Document 1, "the pressure and fluid velocity at the valve throttle portion obtained from the inlet pressure and inlet diameter of the valve, the valve opening degree, and the flow rate of the fluid are obtained, and this pressure is compared with the saturated vapor pressure of the fluid. Evaluate changes in fluid state such as cavitation and flushing, and numerically evaluate the hydraulic life of the valve from the evaluated fluid state, fluid velocity at the valve throttle, and the characteristics of the material used for the valve. By ranking the degree of risk, we support the narrowing down of valves to be inspected. ”(See paragraph 0011).

JP-A-2002-303564

In the valve management system described in Patent Document 1, the degree of deterioration of the valve is evaluated by calculation using a simplified model. For this calculation, the velocity of the fluid in the throttle portion of the valve and the pressure of the fluid in the throttle portion of the valve are used. The velocity of the fluid in the throttle portion is calculated based on the relationship between the flow rate flowing through the valve and the flow path cross-sectional area of the throttle portion. The pressure of the fluid in the throttle is calculated based on Bernoulli's theorem.

The fluid velocity and pressure calculated in Patent Document 1 correspond to typical values in the throttle portion of the valve. That is, it is an average value that does not take into account the internal shape of the valve. When the degree of valve deterioration is evaluated based on such values, it is not possible to grasp the local deterioration inside the valve. Therefore, improvement of accuracy and reliability in diagnosing valve deterioration is an issue. It has become.

Generally, the internal shape of a valve has a complicated three-dimensional shape. When a fluid is flowed through the valve, the shape of the flow path region formed inside the valve is different depending on the opening degree of the valve. When a fluid flows through such a valve, the flow is separated or drifts. Therefore, a high flow velocity and a high pressure are generated in a certain part of the flow path region of the valve.

An index showing the degree of deterioration of the valve includes the amount of wall thinning on the inner wall of the valve. When diagnosing the wall thinning of the inner wall of the valve, if the local flow inside the valve is not taken into consideration, the wall thinning at the place where high flow velocity or high pressure is generated may be underestimated. If wall thinning progresses locally on the inner wall of the valve, there is a risk of unexpected damage such as drilling or an accident.

Therefore, in the present invention, the flow path region inside the valve is divided into a plurality of small regions, and the local flow inside the valve is taken into consideration to reduce the thickness of the valve inner wall for each small region. The purpose is to provide a meat diagnosis system, a valve thinning diagnosis method, and a valve thinning diagnosis service.

In order to solve the above problems, the valve thinning diagnosis system according to the present invention is a valve thinning diagnosis system for diagnosing valve thinning, and includes valve shape data representing the shape of the valve and the valve. Based on the valve opening data representing the opening degree of the valve, the flow path shape generating unit that generates the flow path shape data representing the shape of the flow path region of the valve and the flow path region are divided into a plurality of small regions. , A mesh generation unit that generates a mesh for numerical analysis, a fluid state amount calculation unit that calculates a fluid state amount representing the state of the fluid in each small region on the mesh, and the calculation unit for each small region. A wall thinning speed calculation unit that calculates the wall thinning rate for each small area of the inner wall of the valve based on the amount of fluid state, and a wall thinning rate calculation unit that time-integrates the wall thinning rate to accumulate cumulative reduction for each small area of the inner wall of the valve. It includes a cumulative wall thinning amount calculation unit for calculating the meat amount, and a data storage unit for storing cumulative wall thinning amount data representing the cumulative wall loss amount for each small area of the inner wall of the valve.

Further, the valve thinning diagnosis method according to the present invention is a valve thinning diagnosis method for diagnosing valve thinning, and represents valve shape information indicating the shape of the valve and opening degree of the valve. Based on the valve opening degree information, the shape of the flow path region of the valve is determined, the flow path region is divided into a plurality of small regions, and the amount of fluid state representing the state of the fluid in each small region is calculated. , The wall thinning rate for each small area of the inner wall of the valve is calculated based on the fluid state amount calculated for each small area, and the wall thinning rate is time-integrated for each small area of the inner wall of the valve. Calculate the cumulative amount of wall loss.

Further, the valve thinning diagnosis service according to the present invention is a valve thinning diagnosis service for diagnosing valve thinning, and is connected to a valve thinning diagnosis system for diagnosing valve thinning and a communication network. The valve is connected to the communication network and is connected to the server that manages the valve shape data representing the shape of the valve and the cumulative wall thinning amount data representing the cumulative wall thinning amount for each small area of the inner wall of the valve. The server has a client operated by the user, receives a diagnosis request from the user of the valve, receives information for identifying the valve shape data via the client, and receives the information for identifying the valve shape data, and the wall thickness diagnosis system. Calculates the cumulative wall thinning amount based on the valve shape data, and the cumulative wall thinning amount data is transmitted from the server to the client as diagnostic result data that can be confirmed by the user.

According to the present invention, the flow path region inside the valve is divided into a plurality of small regions, and the local flow inside the valve is taken into consideration to diagnose the thinning of the inner wall of the valve for each small region. It is possible to provide a diagnostic system, a valve thinning diagnosis method, and a valve thinning diagnosis service.

Issues, configurations and effects other than those described above will be clarified by the description of the following embodiments.

It is a figure which shows the structure of the wall thinning diagnosis system of the valve which concerns on 1st Embodiment. It is a figure which shows an example of the database which stores the data of the diagnosis result of the wall thinning of a valve. It is a figure which shows an example of the image which shows the diagnosis result of the wall thinning of a valve. It is a flowchart which shows an example of the process in the wall thinning diagnosis system of a valve. It is a figure which shows the structure of the wall thinning diagnosis system of the valve which concerns on 2nd Embodiment. It is a figure which shows the structure of the wall thinning diagnosis system of the valve which concerns on 3rd Embodiment. It is a figure which shows an example of the database which stores the data of the wall thinning speed of a valve. It is a figure which shows the structure of the wall thinning diagnosis system of the valve which concerns on 4th Embodiment.

<First Embodiment>
First, the valve thinning diagnosis system according to the first embodiment of the present invention and the valve thinning diagnosis method using the system will be described with reference to the drawings. In each of the following figures, common configurations are designated by the same reference numerals and duplicated description will be omitted.

FIG. 1 is a diagram showing a configuration of a valve thinning diagnosis system according to the first embodiment.
As shown in FIG. 1, the valve thinning diagnosis system 100 according to the first embodiment includes a fluid information input unit 101, a flow path shape generation unit 102, a mesh generation unit 103, and a fluid state quantity calculation unit 104. , A wall thinning speed calculation unit 105, a cumulative wall thinning amount calculation unit 106, a cumulative addition unit 107, a data storage unit 108, and an image generation unit 109.

The wall thinning diagnosis system 100 is a device for diagnosing the wall thinning of the valve. The inner wall of the valve in contact with the fluid deteriorates due to erosion, corrosion, and the like. When a two-phase fluid such as moist steam flows, deterioration due to cavitation erosion or liquid droplet impingement (LDI) progresses. The wall thinning diagnosis system 100 obtains the wall thinning rate and the wall thinning amount of the inner wall of the valve in order to enable the quantitative evaluation of such deterioration.

In general, the rate of wall thinning of the inner wall of a valve depends on the condition of the fluid flowing through the inside of the valve. For example, the wall thinning rate of the inner wall of the valve differs depending on the pressure, flow velocity, flow rate, temperature, etc. of the fluid, the wetness of the steam, and the like. In a conventional general diagnostic system, a valve is diagnosed as an individual based on the state of the fluid measured at the inlet and outlet of the valve (see Patent Document 1). On the other hand, in the wall thinning diagnosis system 100, the flow path area inside the valve is divided into a plurality of small areas, the wall thinning speed and the cumulative wall thinning amount for each small area of the valve inner wall are obtained, and the valve inner wall is small. It enables evaluation of deterioration for each area.

In the wall thinning diagnosis system 100, in determining the wall thinning speed for each small region of the inner wall of the valve, the flow path region formed inside the valve is divided into a plurality of small regions, and the fluid state for each small region is obtained. .. The state of the fluid in each subregion is calculated by a numerical analysis simulation using Computational Fluid Dynamics (CFD). In order to perform numerical analysis simulation by the finite volume method, the flow path region of the valve is divided into a plurality of small regions (generally called cells) to generate a mesh for numerical analysis. The mesh refers to the entire flow path region composed of a plurality of cells.

In the wall thinning diagnosis system 100, the valve 1 to be diagnosed is connected to the system via a signal line. The valve 1 to be diagnosed may be, for example, a practical valve installed in a piping network or a valve prepared for testing. When diagnosing a practical valve 1, the place where the valve 1 is installed is not particularly limited.

The valve 1 to be diagnosed may be installed in various facilities such as a chemical plant, a nuclear power plant, a power plant, a steel plant, an oil plant, a factory, a water treatment facility, and a waste treatment facility. The structure, shape, function, application, and the like of the valve 1 to be diagnosed are not particularly limited.

In FIG. 1, the valve 1 to be diagnosed has an opening sensor 111 for measuring the opening degree, sensors 113 and 114 for measuring the fluid state amount, an opening degree control device 115 for controlling the opening degree, and the opening degree being controlled. It includes a valve body 116 that can be opened and closed, and a valve box 117 that is provided with an internal flow path through which a fluid flows. The wall thinning diagnosis system 100 can make a general valve 1 having such a configuration a diagnosis target.

The fluid state quantity means various physical quantities representing the physical or chemical state of a fluid. Examples of the fluid flowing through the valve 1 to be diagnosed include a liquid, a gas, a two-phase fluid such as moist steam, and the like. Specific examples of the fluid state amount include pressure, flow velocity, flow rate, temperature, etc., steam wetness, dryness, chemical composition, turbulent flow intensity, and the like.

In FIG. 1, as the sensors 113 and 114 for measuring the fluid state amount, an upstream side sensor 113 and a downstream side sensor 114 are provided.

The upstream sensor 113 is installed at the inlet of the valve box 117 on the upstream side of the valve body 116. The upstream side sensor 113 is a sensor for measuring the fluid state amount on the upstream side. The fluid state amount on the upstream side means the fluid state amount of the fluid 118 on the upstream side of the valve body 116 flowing into the valve box 117.

The downstream sensor 114 is installed at the outlet of the valve box 117 on the downstream side of the valve body 116. The downstream sensor 114 is a sensor for measuring the amount of fluid state on the downstream side. The fluid state amount on the downstream side means the fluid state amount of the fluid 119 on the downstream side of the valve body 116 flowing out from the valve box 117.

The fluid state amount on the upstream side and the fluid state amount on the downstream side are the valve flow path inlet and the valve flow path when the fluid state amount for each cell constituting the mesh is calculated in the numerical analysis simulation by the wall thinning diagnosis system 100. Used as an exit boundary condition. The upstream side sensor 113 and the downstream side sensor 114 measure each fluid state amount at predetermined time intervals, and output the measurement data of each fluid state amount to the wall thinning diagnosis system 100.

As long as the upstream side sensor 113 and the downstream side sensor 114 can calculate the fluid state amount for each cell constituting the mesh, each of them may measure a kind of fluid state amount or a plurality of kinds of fluid state amounts. You may. When a plurality of types of fluid state quantities are required for calculating the fluid state quantity for each cell, a plurality of sensors may be used as each of the upstream side sensor 113 and the downstream side sensor 114.

The upstream side sensor 113 and the downstream side sensor 114 are suitable for each other as long as the fluid state quantity for each cell calculated based on the measured fluid state quantity is a physical quantity capable of calculating the wall thinning rate of the inner wall of the valve. The amount can be measured.

For example, the flow rate and temperature can be measured as the fluid state quantity on the upstream side, and the pressure can be measured as the fluid state quantity on the downstream side. When such measurement is performed, the pressure, flow velocity, and temperature of each cell constituting the mesh can be calculated by a numerical analysis simulation using CFD. From these fluid state quantities, the wall thinning rate of the inner wall of the valve can be calculated.

In the valve 1 to be diagnosed, the opening degree of the valve, that is, the displacement of the valve body 116 is controlled by the opening degree control device 115. When the valve body 116 is controlled to a predetermined displacement, the shape of the flow path region of the valve 1 changes, and the cross-sectional area of the throttle portion of the valve 1 also changes. In the wall thinning diagnosis system 100, in order to determine the shape of the flow path region of the valve 1, divide the flow path region into small regions, and obtain the wall thinning for each small region of the inner wall of the valve, such a valve Use the opening information.

The displacement of the valve body 116 is measured by the opening sensor 111. The opening degree sensor 111 outputs the valve opening degree data 120 to the wall thinning diagnosis system 100. The valve opening degree data 120 is data representing the opening degree of the valve 1 based on the displacement of the valve body 116 with respect to the reference position.

In FIG. 1, the valve 1 to be diagnosed is a globe valve. However, the valve 1 to be diagnosed may be any of a ball valve, a gate valve, a butterfly valve, a diaphragm valve, a check valve and the like.

Further, in FIG. 1, the upstream side sensor 113 and the downstream side sensor 114 are installed in the valve box 117, respectively. However, the upstream sensor 113 can be installed at an appropriate position on the upstream side of the valve body 116. Further, the downstream sensor 114 can be installed at an appropriate position on the downstream side of the valve body 116.

As the upstream side sensor 113 and the downstream side sensor 114, a new sensor installed for diagnosis may be used, or an existing sensor installed in advance in the piping network may be used. For example, an orifice flow meter installed on the upstream side of the valve 1, a pressure meter installed on the downstream side of the valve 1, and the like can be used. By using existing sensors, the cost associated with sensor installation can be reduced. Further, as the opening degree sensor 111, a new sensor may be used or an existing sensor may be used as in the sensors 113 and 114.

The wall thinning diagnosis system 100 includes, for example, a computing device such as a CPU (Central Processing Unit), a storage device such as a ROM (Read Only Memory) and a RAM (Random Access Memory), a magnetic disk, an optical disk, a non-volatile memory, and the like. It is composed of an external storage device and a computer equipped with an input interface, an output interface, a transmission / reception function, and the like. Some of the functions of the meat thinning diagnostic system 100 may be executed by a program stored in a computer-readable storage medium or other hardware.

An input device for inputting operation data and the like, a display device 10 and the like are connected to the wall thinning diagnosis system 100 via an interface. Examples of the input device include a keyboard, a mouse, a touch pad, and the like. Examples of the display device 10 include a liquid crystal display, a plasma display, an organic EL display, a cathode ray tube, and the like.

The fluid information input unit 101 receives input of the measurement data of the fluid state amount on the upstream side measured by the upstream sensor 113 and the measurement data of the fluid state amount on the downstream side measured by the downstream sensor 114. When the process of diagnosing the wall thinning of the valve is started, the fluid information input unit 101 sends each data at the current time to the fluid state amount calculation unit 104.

The flow path shape generation unit 102 receives the input of the valve shape data 110 and the valve opening degree data 120, and generates the flow path shape data used in the numerical analysis simulation based on the valve shape data 110 and the valve opening degree data 120. The valve shape data 110 is data representing the shape of the valve 1. The valve opening degree data 120 is data representing the opening degree of the valve 1. The flow path shape data is data representing the shape of the flow path region of the valve 1.

The valve shape data 110 includes, for example, surface model-like data representing the shape of the surface of the valve body 116 and the inner surface of the valve box 117. As the valve shape data 110, two-dimensional CAD data, three-dimensional CAD data, or the like can be used depending on the method of numerical analysis. The valve shape data 110 can be input from a database that stores the shapes of various valves, a storage medium that can be read by a computer, or the like by a method of specifying the type of the valve 1 to be diagnosed.

The valve opening data 120 is composed of, for example, data representing the opening degree of the valve 1 in% or the like and data representing the displacement of the valve body 116 from the reference position. The valve opening degree data 120 is input from the opening degree sensor 111.

The flow path shape data is a flow formed inside the valve by combining the valve shape data 110 representing the shape of the inner surface of the valve 1 and the valve opening data 120 representing the position of the valve body 116 for each opening degree. It is generated as data representing the shape of the road area. The fluid to be analyzed in the numerical analysis simulation exists in the flow path region specified by this flow path shape data.

The flow path shape generation unit 102 generates flow path shape data for each valve opening degree. The shape of the flow path region of the valve 1 is determined according to the shapes of the valve body 116 and the valve box 117 and the opening degree of the valve. The cross-sectional area of the throttle portion of the valve 1 becomes large when the opening degree is large, and the cross-sectional area becomes small when the opening degree is small. Therefore, the distribution of flow separation, drift, turbulence, etc. differs depending on the opening degree of the valve. By generating flow path shape data for each valve opening, numerical analysis simulation that takes into account the flow distribution that changes according to the flow path shape becomes possible, and accurate diagnosis of local wall thinning on the inner wall of the valve is possible. be able to.

The mesh generation unit 103 divides the flow path region of the valve 1 into a plurality of small regions (cells) on the flow path shape data, and generates a mesh for numerical analysis. Since the finite volume method is used in the numerical analysis simulation using CFD, the flow path region of the valve 1 to be analyzed is divided into a plurality of cells for discretization. In the mesh generated by dividing into cells, the node spacing and the like are not particularly limited. Each cell generated by the division may have a regular shape or a non-structural irregular shape.

The fluid state quantity calculation unit 104 calculates a fluid state quantity representing the fluid state of each cell constituting the mesh on the mesh generated by the mesh generation unit 103. The fluid state quantity for each cell is calculated by a numerical analysis simulation using CFD. The fluid state quantity calculation unit 104 acquires the mesh data generated by the mesh generation unit 103, the measurement data of the fluid state quantity on the upstream side, and the measurement data of the fluid state quantity on the downstream side, and the flow specified by the mesh data. Numerical analysis simulation using the finite volume method is performed using the road region as a calculation system.

In the numerical analysis simulation, the measurement data of the fluid state amount on the upstream side and the measurement data of the fluid state amount on the downstream side are input as the boundary conditions of the valve flow path inlet and the valve flow path outlet. The fluid state quantity calculation unit 104 solves basic equations such as mass conservation equation, momentum conservation equation, energy conservation equation, and state equation in each cell on the mesh representing the flow path region of the valve 1, and fluid state quantity for each cell. Ask for.

In the numerical analysis simulation, the mesh representing the flow path region of the valve 1 may be created two-dimensionally and analyzed, or may be created three-dimensionally and analyzed. Moreover, the basic equation may be solved separately or coupled. The fluid flowing through the valve 1 may be treated as a Newtonian fluid or a non-Newtonian fluid, depending on the type of fluid. Further, a steady-state analysis at the current time may be performed, or a non-stationary analysis may be performed. However, from the viewpoint of shortening the analysis time, it is preferable to perform a steady-state analysis.

In the numerical analysis simulation, the Navier-Stokes equation and other turbulence models can be used as the partial differential equations that describe the fluid motion. As the turbulent flow model, an appropriate type can be used depending on the shape of the flow path region of the valve 1, the type of fluid, the flow velocity, and the like. Specific examples of the turbulent flow model include RANS such as k-ω model, k-ε model, Spalart-Allmaras model, and LES.

The fluid state quantity calculation unit 104 sends the calculated fluid state quantity data for each cell to the wall thinning speed calculation unit 105 in a state of being associated with an identifier representing each cell. For example, if the flow rate and temperature are measured as the fluid state quantity on the upstream side and the pressure is measured as the fluid state quantity on the downstream side, the pressure, flow velocity, and temperature for each cell constituting the mesh can be calculated. Therefore, the data of the fluid state amount for each of these cells is sent to the wall thinning speed calculation unit 105 for the entire mesh.

The wall thinning speed calculation unit 105 calculates the wall thinning speed for each cell on the inner wall of the valve based on the fluid state amount calculated for each cell on the mesh. The thinning rate of the inner wall of the valve is calculated based on a predictive calculation model that predicts the thinning rate of the material. The predictive calculation model is expressed as a function of the fluid state quantity, the mechanical properties of the material of the valve 1, and the like. The wall thinning speed calculation unit 105 applies the fluid state data calculated for each cell to the prediction calculation model, and obtains the wall thinning speed according to the material for the cell adjacent to the inner wall of the valve 1. The wall thinning speed calculation unit 105 associates the calculated wall thinning speed data for each cell on the inner wall of the valve with an identifier representing each cell, and the cumulative wall thinning amount calculation unit 106, the data storage unit 108, and the data storage unit 105. It is sent to the image generation unit 109.

Here, a specific calculation method of the wall thinning rate of the inner wall of the valve will be described.

For example, droplet impact erosion occurs in the following process. When the flow is accelerated at the throttle portion of the valve 1, when the pressure of the fluid becomes lower than the saturated vapor pressure, a part of the gas is condensed to generate droplets, and a gas-liquid two-phase fluid is generated. When the condensed droplets collide with the inner wall of the valve at high speed, droplet impact erosion occurs.

The thinning rate of the material due to such droplet impact erosion can be calculated by droplet condensation analysis, droplet track analysis, and wall thinning rate analysis.

First, as a droplet condensation analysis, the state of droplets condensed from a fluid is analyzed by a numerical analysis simulation. According to the numerical analysis simulation, the droplet generation position, the generation amount, and the droplet diameter can be obtained based on the fluid state amount of each cell constituting the mesh. The state of the droplet is determined by the following formulas (I) to (IV) from the difference between the saturated vapor temperature and the vapor temperature of each cell, assuming that the droplet is generated below the saturated vapor temperature. ..

Here, r * is the nucleation radius [m] generated by Kelvin-Helmholtz, σ is the vapor surface tension [Nm- ¹ ], Ts is the saturated vapor temperature [K], and ρ is the droplet density [kgm- ^3]. ], H is the latent heat of evaporation [J · kg ^-1 ], ΔT is the difference between the saturated vapor temperature and the vapor temperature of each cell, J is the nucleation rate of droplets, qc is the condensation coefficient, and η is the non-isothermal correction coefficient. , M is mercury molecular weight [kg · mol ^-1 ], G is Gibbs free energy [J], Kb is Boltzmann constant, γ is surface tension [N · m ^-1 ], R is gas constant [J · mol ^-1 · K ^-1 ] and Tv represent the steam temperature [K].

Next, as a droplet track analysis, the track of a droplet generated from a fluid is analyzed by a numerical analysis simulation. According to the numerical analysis simulation, it is possible to obtain the collision frequency and the collision speed of the droplets with respect to the target wall surface corresponding to the inner wall of the valve among the cells constituting the mesh. The track of the droplet is obtained by the following mathematical formulas (V) to (VII) by arranging the droplet in the state obtained by the droplet condensation analysis in each cell and reproducing the motion under a predetermined flow. ..

Here, m drop mass [kg], v is the drop velocity ^{[m · S} -1], u is the flow rate ^{[m ·} S -1], CD is the drag coefficient, Re _d is the Reynolds number, D is the liquid Drop diameter [m] and μ represent viscosity [Pa · S].

Next, as a wall thinning speed analysis, the wall thinning speed due to the collision of droplets for each material on the inner wall of the valve is calculated. The rate of wall thinning due to droplet collision is expressed as a function of droplet collision frequency, collision velocity, and mechanical properties of the material, such as hardness. The wall thinning rate due to the collision of droplets is calculated by, for example, the following mathematical formula (VIII).

Here, W is the wall thinning speed [mm · s ^-1 ], F is the collision frequency of the droplet [mm ^-2 · s ^-1 ], ν is the collision speed of the droplet, and D is the droplet diameter [m]. ρ represents the droplet density [kgm ^-3 ], C represents the material coefficient, and n represents the order of the collision velocity determined by the correlation with the actual measurement. The material coefficient C can be treated as a function of the hardness of the material, and a collision test using the material of the valve can be actually performed, and the obtained result can be obtained by regression analysis.

The valve wall thinning may be diagnosed by any of erosion corrosion, cavitation erosion, droplet impact erosion, and combination of these. For the wall thinning rate due to these, corrosion tests and corrosion tests using valve materials were actually performed, and the results obtained under the conditions of multiple fluid state quantities were analyzed by various multivariate analysis methods. Can be sought.

The cumulative wall thinning amount calculation unit 106 calculates the cumulative wall thinning amount for each cell on the inner wall of the valve by time-integrating the wall thinning rate for each cell on the inner wall of the valve. The cumulative wall thinning amount calculation unit 106 acquires the data of the wall thinning speed for each cell of the inner wall of the valve at the current time from the wall thinning speed calculation unit 105, and sets the wall thinning speed from the previous measurement time to the current time. Integrate the time with the elapsed time of. By such an integration process, the amount of change in wall thickness that has occurred from the previous measurement time to the current time can be obtained.

The cumulative wall thinning amount calculation unit 106 includes a cumulative addition unit 107. The cumulative addition unit 107 acquires the data of the cumulative wall thickness reduction amount for each cell of the inner wall of the valve from the data storage unit 108 to the previous measurement time, and the wall thickness change amount calculated by the cumulative wall thickness reduction amount calculation unit 106. Is added to this cumulative wall thinning amount. By such an addition process, the cumulative wall thinning amount for each cell on the inner wall of the valve up to the current time can be obtained. The cumulative addition unit 107 causes the data storage unit 108 and the image generation unit 109 to associate the calculated cumulative wall thickness data for each cell on the inner wall of the valve up to the current time with an identifier representing each cell. send.

The data storage unit 108 stores data on the cumulative wall thinning amount for each cell on the inner wall of the valve and data on the wall thinning speed for each cell on the inner wall of the valve. When the data storage unit 108 acquires the data of the cumulative wall thinning amount up to the current time from the cumulative addition unit 107, the data storage unit 108 updates this data as the latest data. These data are stored in the diagnosis result database 130 in a state associated with an identifier representing each cell (see FIG. 2).

The image generation unit 109 generates diagnostic result data indicating the diagnosis result of the wall thinning of the valve based on the data of the cumulative wall thickness reduction amount for each cell of the inner wall of the valve and the data of the wall thinning rate for each cell of the inner wall of the valve. Generate. The generated diagnosis result data is output to the display device 10 (see FIG. 3).

FIG. 2 is a diagram showing an example of a database that stores data on the diagnosis result of valve wall thinning.
As shown in FIG. 2, the diagnosis result of valve wall thinning can be stored in the data storage unit 108 as the diagnosis result database 130 in a table-based storage format.

The diagnosis result database 130 contains an identifier (area No.) assigned to each cell on the inner wall of the valve, coordinates for each cell on the inner wall of the valve, a wall thinning rate for each cell on the inner wall of the valve, and each cell on the inner wall of the valve. Data such as cumulative wall loss can be included.

As the identifier (region No.), for example, an arbitrary number or the like can be assigned to the cell adjacent to the inner wall of the valve among a large number of cells constituting the mesh. As the coordinates, for example, the coordinates of the center of the cell with respect to a predetermined reference point in the xyz coordinate system or the like can be used. The diagnosis result database 130 may include data on the amount of fluid state for each cell as other data.

FIG. 3 is a diagram showing an example of an image showing a diagnosis result of valve wall thinning.
As shown in FIG. 3, the diagnosis result of the wall thinning of the valve can display the wall thinning speed of each cell of the inner wall of the valve and the cumulative wall thinning amount of each cell of the inner wall of the valve as a numerical image 131. .. Further, the shape of the flow path region or the inner wall of the valve 1 can be displayed as a shape image 132.

The numerical image 131 can be displayed as a table or the like in association with the identifier (area No.) and coordinates assigned to each cell on the inner wall of the valve. Further, the shape image 132 can be displayed two-dimensionally or three-dimensionally in association with the result of the wall thinning rate and the cumulative wall thinning amount for each cell of the inner wall of the valve. The shape image 132 can be created by image software or the like that models numerical data.

For example, as shown in FIG. 3, the identifier (region No.) displayed on the table can also be displayed in the corresponding region of the shape image 132. Visually highlight areas where the wall thinning speed and cumulative wall thinning amount are larger than a predetermined threshold, areas where significant wall thinning has occurred, risks of wall thinning for each cell, etc. by coloring, texture, etc. You can also do it. It is also possible to display a map of each cell by color or texture for each numerical range of the wall thinning speed and the cumulative wall thinning amount.

Alternatively, unlike FIG. 3, in the initial display, only the shape image 132 can be displayed without displaying the numerical image 131. In such an initial display state, when an arbitrary cell on the shape image 132 is specified by clicking or the like, the coordinates of the cell, the wall thinning speed, the cumulative wall thinning amount, etc. are configured to be displayed by a pop-up or the like. You can also.

The shape image 132 showing the diagnosis result of the wall thinning of the valve can be easily visualized three-dimensionally based on the numerical analysis simulation. Therefore, there is an advantage that it is possible to visually understand the location where the thinning occurs and the prediction of the amount of thinning. Further, the numerical image 131 can be arranged and displayed in ascending order or descending order according to the thickness thinning rate and the cumulative wall thinning amount of each cell. Therefore, there is an advantage that it is possible to easily identify a portion where the amount of wall loss is large. With such a display, the priority of valve repair / replacement can be appropriately determined.

According to the above-mentioned thinning diagnosis system 100 and the thinning diagnosis method using the same, the flow of the valve is based on the information on the shape of the valve, the information on the opening degree of the valve, and the information on the state of the fluid flowing through the valve. It is possible to obtain the amount of fluid state for each small region obtained by dividing the road region. From the fluid state amount for each small region, the wall thinning rate and the cumulative wall thinning amount for each small region of the inner wall of the valve can be obtained with high accuracy. Even if the inside of the valve has a complicated three-dimensional shape, or if the opening of the valve is frequently switched, and the distribution of flow separation, drift, turbulence, etc. changes frequently. , The thinning of each small area of the inner wall of the valve is quantified with high accuracy. Therefore, it is possible to evaluate the wall thinning for each small region of the inner wall of the valve in consideration of the local flow inside the valve. Since oversight of local flow velocity peaks and the like is reduced in diagnosis, underestimation of wall thinning can be avoided.

According to the above-mentioned thinning diagnosis system 100, it is possible to develop valve maintenance service and warranty service in various forms. For example, the life of the valve can be predicted from the cumulative wall thinning amount evaluated by the wall thinning diagnosis system 100. Therefore, the timing of valve replacement or repair can be appropriately determined. Since it is possible to select valves that require maintenance and select maintenance priorities, maintenance costs can be reduced. It is also possible to determine an appropriate warranty period for the valve. It is possible to set individual warranty periods according to the operating conditions of the valve.

FIG. 4 is a flowchart showing an example of processing in the valve thinning diagnosis system 100.
As shown in FIG. 4, the wall thinning diagnosis system 100 can also perform a process of diagnosing the wall thinning of the valve during the actual operation of the valve 1 to be diagnosed.

During the actual operation of the valve 1, the opening degree of the valve and the state of the fluid change with time. In such a situation, the distribution of flow separation, drift, turbulence, etc. changes frequently inside the valve. However, even during the actual operation of such a valve 1, the wall thinning diagnosis system 100 can monitor the time change of the wall thinning of the valve.

When diagnosing the wall thinning of the valve during the operation of the valve 1, first, the valve shape data 110 is acquired (step S201). The valve shape data 110 is input to the flow path shape generation unit 102 from a database that stores various valve shapes, a storage medium that can be read by a computer, or the like, depending on the type of valve 1 that is in operation.

Subsequently, the valve opening degree data 120 at the current time is acquired (step S202). The valve opening degree data 120 is input to the flow path shape generation unit 102 from the opening degree sensor 111 of the valve 1 in operation.

Subsequently, if there is a change in the valve opening degree from the previous measurement time to the current time (step S203; YES), the process proceeds to step S204.

When there is a change in the valve opening, the flow path shape data is generated based on the valve opening data 120 at the current time, the flow path region of the valve 1 is divided into a plurality of small regions (cells), and numerical analysis is performed. Generate a mesh for (step S204). The flow path shape generation unit 102 sends the generated flow path shape data to the mesh generation unit 103. The mesh generation unit 103 sends the generated mesh data to the fluid state quantity calculation unit 104.

Subsequently, the measurement data of the fluid state amount at the current time is acquired (step S205). The measurement data of the fluid state amount on the upstream side is input from the upstream sensor 113 to the fluid information input unit 101. The measurement data of the fluid state amount on the downstream side is input to the fluid information input unit 101 from the downstream sensor 114. Then, the process proceeds to step S207.

On the other hand, if there is no change in the valve opening degree from the previous measurement time to the current time (step S203; NO), the process proceeds to step S206.

When there is no change in the opening degree of the valve, the measurement data of the fluid state amount at the current time is acquired without generating new flow path shape data (step S206).

Then, if there is a change in the fluid state amount from the previous measurement time to the current time (step S207; YES), the process proceeds to step S208.

On the other hand, if there is no change in the fluid state amount from the previous measurement time to the current time (step S207; NO), the process proceeds to step S210.

When there is a change in the valve opening and the measurement data of the fluid state quantity at the current time is acquired (step S205), or when there is no change in the valve opening and the fluid state quantity is from the previous measurement time to the current time. (Step S207; YES), the fluid state quantity for each cell constituting the mesh is calculated (step S208). The fluid state quantity calculation unit 104 performs a numerical analysis simulation using CFD based on the mesh data, the measurement data of the fluid state quantity on the upstream side, and the measurement data of the fluid state quantity on the downstream side.

Subsequently, the wall thinning rate for each cell on the inner wall of the valve at the current time is calculated based on the fluid state amount calculated for each cell on the mesh (step S209). The wall thinning speed calculation unit 105 stores the calculated wall thinning speed data in the data storage unit 108.

Subsequently, the wall thinning rate for each cell on the inner wall of the valve at the current time is time-integrated to calculate the amount of change in wall thinning for each cell on the inner wall of the valve at the current time (step S210). The cumulative wall thinning amount calculation unit 106 calculates the wall thinning amount from the previous measurement time to the current time as the wall thinning change amount.

Subsequently, the amount of change in wall thinning for each cell on the inner wall of the valve at the current time is added to the cumulative amount of wall thinning for each cell on the inner wall of the valve up to the previous measurement time, and the inner wall of the valve up to the current time is added. Cumulative wall thinning amount for each cell is calculated (step S211). The cumulative addition unit 107 stores the calculated cumulative wall thinning amount data in the data storage unit 108.

Subsequently, based on the data of the cumulative wall thickness reduction amount for each cell of the inner wall of the valve, the diagnosis result data showing the diagnosis result of the wall thickness reduction of the valve is generated, and the diagnosis result of the wall thickness reduction of the valve is displayed on the display device 10. (Step S212).

Subsequently, it is determined whether or not the process of diagnosing the thinning of the valve 1 has reached the end time (step S213). As a result of the determination, if the processing has not reached the end time (step S213; NO), the process returns to step S202, and the subsequent processing is repeated. On the other hand, as a result of the determination, when the process has reached the end time (step S213; YES), the process of diagnosing the wall thinning of the valve is terminated.

The process of diagnosing the wall thinning of the valve may be stopped when a predetermined end time is reached, or may be stopped when the process using the valve 1 is completed. Further, the valve may be stopped when a diagnostic result is obtained when the opening degree of the valve or the state of the fluid is a predetermined condition.

According to the process shown in FIG. 4, the wall thinning rate and the wall thinning amount for each cell on the inner wall of the valve can be obtained based on the fluid state amount at the current time measured by the sensors 113 and 114. Therefore, even during actual valve operation where the valve opening and fluid state change from moment to moment, the local flow inside the valve is taken into consideration to accurately reduce the wall thickness of each cell on the inner wall of the valve. Can be diagnosed.

During the actual operation of the valve, the process shown in FIG. 4 needs to be cycled at short time intervals to follow changes in the process. Therefore, for numerical analysis simulation using CFD, speeding up of numerical analysis is required. Conventionally, speeding up numerical analysis has been an issue in many fields.

On the other hand, step S203 is incorporated in the process shown in FIG. When there is a change in the valve opening, new flow path shape data and a new mesh are generated, but when there is no change in the valve opening, these are not generated and the existing Flow path shape data and mesh are used. Therefore, according to the process shown in FIG. 4, it is possible to reduce the time required to generate the flow path shape data and the mesh, and it is possible to speed up the entire process.

Further, step S207 is incorporated in the process shown in FIG. If there is a change in the fluid state quantity from the previous measurement time to the current time, the fluid state quantity for each cell is recalculated, but if there is no change in the fluid state quantity, the fluid state quantity for each cell is calculated. Is not recalculated. In the cumulative wall thinning amount calculation unit 106, since the wall thinning rate at the previous measurement time is time-integrated again, the cumulative wall thinning amount is updated with the same data as the previous measurement time. Therefore, according to the process shown in FIG. 4, the numerical analysis simulation, which takes a relatively long time, is skipped, so that the speed of the entire process can be increased.

<Second Embodiment>
Next, the valve thinning diagnosis system according to the second embodiment of the present invention and the valve thinning diagnosis method using the system will be described with reference to the drawings.

FIG. 5 is a diagram showing a configuration of a valve thinning diagnosis system according to a second embodiment.
As shown in FIG. 5, the valve thinning diagnosis system 200 according to the second embodiment has a fluid information input unit 101, a flow path shape generation unit 102, and a mesh generation, similarly to the wall thinning diagnosis system 100. A unit 103, a fluid state amount calculation unit 104, a wall thinning speed calculation unit 105, a cumulative wall thinning amount calculation unit 106, a cumulative addition unit 107, a data storage unit 108, and an image generation unit 109 are provided. There is.

The difference between the wall thinning diagnosis system 200 and the wall thinning diagnosis system 100 is that the flow path shape generation unit 102 additionally refers to the piping network shape data 140, and the valve shape data 110, the valve opening data 120, and the valve opening degree data 120. This is a point where the flow path shape data is generated based on the pipe network shape data 140. The piping network shape data 140 is data representing the shape of the piping network connected to the valve 1.

The wall thinning diagnosis system 200 is a device for diagnosing the wall thinning of the valve in consideration of the arrangement of the valve in the piping network. The inner wall of the valve in contact with the fluid is thinned as the flow velocity or kinetic energy of the fluid increases. In the valve to be diagnosed, flow separation, drift, turbulence, etc. occur depending on the shape of the piping network connected to the valve. In addition, the number of cavitations and the collision frequency of droplets also change. In the wall thinning diagnosis system 200, in order to evaluate the deterioration of the valve due to the influence of such a piping network, the wall thinning speed and the wall thinning amount of the inner wall of the valve are obtained in consideration of the shape of the piping network.

In FIG. 5, a connecting pipe 2 is connected to the upstream side of the valve 1 to be diagnosed. The connecting pipe 2 is provided with an elbow and has an L shape as a whole. A piping network upstream side sensor 213 is provided on the upstream side of the connecting pipe 2. The pipe network upstream side sensor 213 is a sensor for measuring the fluid state amount on the upstream side of the connecting pipe 2.

The fluid state amount on the upstream side of the connecting pipe 2 is the boundary condition of the flow path inlet to the connecting pipe 2 when calculating the fluid state amount for each cell constituting the mesh in the numerical analysis simulation by the wall thinning diagnosis system 200. Used as. The piping network upstream side sensor 213 measures the fluid state amount at predetermined time intervals, and outputs the measurement data of the fluid state amount to the wall thinning diagnosis system 200.

Similar to the upstream sensor 113, the piping network upstream sensor 213 may measure a kind of fluid state amount as long as it can calculate the fluid state amount for each cell constituting the mesh, or may measure a plurality of kinds of fluid states. The amount may be measured. When a plurality of types of fluid state quantities are required for calculating the fluid state quantity for each cell, a plurality of sensors may be used as the piping network upstream sensor 213.

As the upstream side sensor 213 of the piping network, a new sensor installed for diagnosis may be used as in the upstream side sensor 113, or an existing sensor installed in advance in the piping network may be used. You may. For example, an orifice flow meter or the like installed on the upstream side of the connecting pipe 2 can be used. When the upstream side sensor 213 of the piping network is used for diagnosis, it is not necessary to newly provide the upstream side sensor 113.

In the wall thinning diagnosis system 200, the flow path shape generation unit 102 receives the input of the valve shape data 110, the valve opening data 120, and the piping network shape data 140, and receives the input of the valve shape data 110, the valve opening data 120, and the piping network shape. Based on the data 140, the flow path shape data used in the numerical analysis simulation is generated.

The pipe network shape data 140 is, for example, surface model-like data representing the shape of the inner surface of pipes and pipe joints constituting the pipe connected to the valve 1, and data representing the connection structure and positional relationship between the valve and the pipe. including. For example, data representing the shape of the inner surface of the connecting pipe 2 shown in FIG. 5, data representing the shape of the inner surface of the connecting portion of the pipe joint, and the like are included. As the pipe network shape data 140, two-dimensional CAD data, three-dimensional CAD data, or the like can be used depending on the method of numerical analysis. The pipe network shape data 140 is read by a database or a computer that stores the shapes of various pipes and pipe joints by a method of specifying the types of pipes and pipe joints constituting the pipe connected to the valve 1 to be diagnosed. It can be input from a possible storage medium or the like.

The flow path shape data includes valve shape data 110 indicating the shape of the inner surface of the valve 1, valve opening data 120 indicating the position of the valve body 116 for each opening degree, and inner surfaces of pipes and pipe joints constituting the pipe. In combination with the pipe network shape data 140 representing the shape of the above, it is generated as data representing the shape of the flow path region formed inside the valve and the inside of the pipe network connected to the valve.

In the wall thinning diagnosis system 200, the mesh generation unit 103 divides the flow path region into a plurality of cells based on the flow path shape data generated by the flow path shape generation unit 102, and generates a mesh for numerical analysis. do. This process is based on the valve shape data 110, the valve opening degree data 120, and the piping network shape data 140. Therefore, it is formed in the flow path region formed inside the valve 1 and the flow path region formed inside the piping network connected to the valve 1, for example, inside the connecting pipe 2 or inside the pipe joint. A mesh having a shape connected to the flow path region is generated. The fluid state quantity calculation unit 104 calculates a fluid state quantity representing the fluid state of each cell constituting the mesh on such a mesh.

In the numerical analysis simulation of the wall thinning diagnosis system 200, when the piping network shape data 140 connected to the upstream or downstream of the valve is input, the inlet boundary condition is given at the start point on the upstream side of the input piping network shape data 140, and the inlet boundary condition is given. It is necessary to give an exit boundary condition at the downstream end point. At this time, the positions of the sensors for acquiring the fluid state amount are preferably coincident with the start point on the upstream side and the end point on the downstream side of the pipe network shape data 140, but they do not necessarily have to coincide with each other. If they match, the fluid state measurement data is input as is as a boundary condition. On the other hand, if they do not match, the fluid state at the start point on the upstream side or the end point on the downstream side of the pipe network shape data 140 is used for the measurement data of the fluid state quantity by using physical laws related to fluid motion and empirical formulas based on experiments. Convert to quantity.

For example, in the wall thinning diagnosis system 200 shown in FIG. 5, the measurement data of the fluid state amount on the upstream side measured by the sensor 213 on the upstream side of the piping network may be input as the boundary condition of the flow path inlet to the connecting pipe 2. can. On the other hand, the measurement data of the fluid state amount on the downstream side measured by the downstream sensor 114 can be input as the boundary condition of the valve flow path outlet. The fluid state quantity calculation unit 104 solves the basic equation in each cell on the mesh representing the flow path region of the valve 1 and the flow path region of the piping network connected to the valve 1, and obtains the fluid state quantity for each cell.

In the wall thinning diagnosis system 200, the fluid state amount calculation unit 104 sends the calculated fluid state amount data for each cell to the wall thinning speed calculation unit 105 in a state associated with an identifier representing each cell. As the fluid state data, at least the data for the cell adjacent to the inner wall of the valve 1 is sent. Subsequent operations are the same as those of the wall thinning diagnosis system 100.

In the wall thinning diagnosis system 200 shown in FIG. 5, the boundary conditions on the upstream side are set based on the measurement data measured by the sensor 213 on the upstream side of the piping network. However, the boundary conditions on the upstream side can also be set based on the measurement data measured by the upstream sensor 113. For example, the amount of liquid state at the upstream end of the connecting pipe 2 can be calculated from the amount of fluid state on the upstream side measured by the upstream sensor 113 by using Bernoulli's theorem or the like. Therefore, the flow path region from the upstream end of the connecting pipe 2 to the outlet of the valve 1 can be used as the calculation system without using the pipe network upstream sensor 213.

Further, in the wall thinning diagnosis system 200 shown in FIG. 5, the influence of the piping network connected to the upstream side of the valve 1 is added to the diagnosis of the wall thinning of the valve 1. However, the influence of the piping network connected to the downstream side of the valve 1 may be taken into consideration in the diagnosis of the wall thinning of the valve 1. Further, the influences of both the piping network connected to the upstream side and the piping network connected to the downstream side may be taken into consideration. The boundary condition on the downstream side can be set by using the downstream sensor 114 or the downstream sensor of the piping network provided on the piping network on the downstream side, similarly to the boundary condition on the upstream side.

According to the above-mentioned thinning diagnosis system 200 and the thinning diagnosis method using the same, the thinning of each cell on the inner wall of the valve is diagnosed in consideration of the influence of the connecting pipe connected to the valve to be diagnosed. Can be done. For example, when the elbow is connected to the upstream side of the valve to be diagnosed, a large drift flows inside the elbow, so that the flow flowing into the valve is also biased. In such a case, if the inlet of the valve is the boundary on the upstream side, the drift in the elbow is not taken into consideration, and the wall thinning for each cell cannot be accurately obtained. On the other hand, if data representing the shape of the piping network connected to the valve is used, the flow path area including the piping network connected to the valve 1 such as from the upstream of the elbow to the outlet of the valve can be used as the calculation system. Therefore, the local flow inside the valve can be analyzed more accurately.

According to the above-mentioned thinning diagnosis system 200, valve maintenance service and warranty service can be provided in various forms. For example, from the cumulative wall thinning amount evaluated by the wall thinning diagnosis system 200, propose the valve installation position, the type of piping connected to the valve, the connection method of the piping to the valve, etc. so that the valve is difficult to be thinned. Can be done. By obtaining information on the shape of the valve and information on the operating conditions of the valve from the valve user and performing a numerical analysis simulation, it is possible to evaluate the wall thinning of each cell on the inner wall of the valve. By performing numerical analysis simulations on multiple patterns of the piping network connected to the valve, it is possible to propose optimal solutions such as the valve installation position, the type of piping connected to the valve, and the connection method of the piping to the valve. Become.

<Third Embodiment>
Next, the valve thinning diagnosis system according to the third embodiment of the present invention and the valve thinning diagnosis method using the system will be described with reference to the drawings.

FIG. 6 is a diagram showing a configuration of a valve thinning diagnosis system according to a third embodiment.
As shown in FIG. 6, the valve wall thinning diagnosis system 300 according to the third embodiment has a flow path shape generation unit 102, a mesh generation unit 103, and a fluid state quantity, similarly to the wall thinning diagnosis system 100. It includes a calculation unit 104, a wall thinning speed calculation unit 105, a cumulative wall thinning amount calculation unit 106, a cumulative addition unit 107, a data storage unit 108, and an image generation unit 109.

The difference between the wall thinning diagnosis system 300 and the wall thinning diagnosis system 100 is that the system is composed of a calculation unit 310 and a diagnosis unit 320, and includes an operation condition input unit 151 instead of the fluid information input unit 101. Further, the wall thinning speed data storage unit 150, the wall thinning speed acquisition unit 152, the valve opening condition generation unit 153, and the fluid condition generation unit 154 are provided.

The wall thinning diagnosis system 300 is a device for diagnosing the wall thinning of the valve by referring to a database of the wall thinning speed prepared in advance. During valve operation, the fluid state changes frequently and the valve opening changes frequently. If the input conditions for numerical analysis simulation change, recalculation is required, so the required diagnostic results cannot be obtained in a timely manner. In order to avoid such a delay in diagnosis, the wall thinning diagnosis system 300 extracts data corresponding to the operating conditions of the valve from the database of the wall thinning speed prepared in advance, and the wall thinning speed of the inner wall of the valve. And the amount of meat loss is required.

The calculation unit 310 of the wall thinning diagnosis system 300 includes a flow path shape generation unit 102, a mesh generation unit 103, a fluid state quantity calculation unit 104, a wall thinning speed calculation unit 105, a valve opening condition generation unit 153, and a fluid condition generation unit 154. It has.

The valve opening condition generation unit 153 generates a plurality of valve opening data 120 for the valve to be diagnosed within an arbitrary opening range. The plurality of valve opening degree data 120 are used for generating the flow path shape data for preparing the wall thinning speed database 160. The valve opening condition generation unit 153, for example, generates a plurality of valve opening degree data 120 different from each other in the range of opening degree 0 to 100% at a predetermined numerical interval or at random.

The fluid condition generation unit 154 generates a plurality of condition data for each of the upstream fluid state amount and the downstream fluid state amount for the fluid flowing through the valve to be diagnosed. The plurality of condition data are used as boundary conditions for the numerical analysis simulation for preparing the wall thinning rate database 160. The fluid condition generation unit 154, for example, generates a plurality of condition data different from each other within a range assumed for the operating condition of the valve 1 at a predetermined numerical interval or at random. The operating conditions of the valve 1 can be input together with, for example, the valve shape data 110 and the like.

In the wall thinning diagnosis system 300, the flow path shape generation unit 102 acquires the valve shape data 110 and the valve opening data 120 generated by the valve opening condition generation unit 153, and converts the valve shape data 110 and the valve opening data 120 into the valve shape data 110 and the valve opening data 120. Based on this, the flow path shape data used in the numerical analysis simulation is generated.

The flow path shape data is the same as in the wall thinning diagnosis system 100 by combining the valve shape data 110 representing the shape of the inner surface of the valve 1 and the valve opening data 120 representing the position of the valve body 116 for each opening degree. It is also generated as data representing the shape of the flow path region formed inside the valve.

In the wall thinning diagnosis system 300, the mesh generation unit 103 generates a mesh for numerical analysis on the flow path shape data generated by the flow path shape generation unit 102. The mesh is generated for each of a plurality of valve opening degree data 120 generated by the valve opening degree condition generation unit 153. The fluid state quantity calculation unit 104 calculates a fluid state quantity representing the fluid state of each cell constituting the mesh for each mesh having a different shape under such a plurality of valve opening conditions.

The fluid state amount calculation unit 104 includes mesh data generated by the mesh generation unit 103, condition data of the upstream fluid state amount generated by the fluid condition generation unit 154, and downstream fluid generated by the fluid condition generation unit 154. Conditional data of the state quantity is acquired, and numerical analysis simulation is performed using the flow path region specified by the mesh data as a calculation system for each mesh having a different shape under a plurality of valve opening conditions.

In the numerical analysis simulation of the wall thinning diagnosis system 300, the condition data of the fluid state amount on the upstream side generated by the fluid condition generation unit 154 and the condition data of the fluid state amount on the downstream side generated by the fluid condition generation unit 154 are Entered as a boundary condition. The numerical analysis simulation is performed for each of a plurality of mesh data corresponding to the plurality of valve opening data 120 and for each of the condition data of the plurality of fluid state quantities.

The wall thinning speed calculation unit 105 calculates the wall thinning speed for each cell on the inner wall of the valve based on the fluid state amount calculated for each cell on the mesh. The wall thinning rate for each cell on the inner wall of the valve is acquired for each of a plurality of mesh data and each of a plurality of condition data of fluid state quantities. The wall-thinning speed calculation unit 105 stores the wall-thinning speed data in a state in which the calculated wall-thinning speed data for each cell on the inner wall of the valve is associated with an identifier representing individual operating conditions and an identifier representing each cell. Send to department 150.

The wall thinning speed data storage unit 150 stores the wall thinning speed data for each cell of the inner wall of the valve calculated for each of the plurality of mesh data and for each of the condition data of the plurality of fluid state quantities. These plurality of wall thinning rate data are stored in the wall thinning rate database 160 in a state associated with an identifier representing individual operating conditions and an identifier representing individual cells (see FIG. 7).

FIG. 7 is a diagram showing an example of a database that stores data on the wall thinning speed of the valve.
As shown in FIG. 7, the wall thinning rate data calculated for each of the plurality of mesh data corresponding to the plurality of valve opening data 120 and for each of the condition data of the plurality of fluid state quantities is the wall thinning rate database 160. As a result, it can be stored in the wall thinning speed data storage unit 150 in a storage format using a table.

The wall thinning speed database 160 can include data such as an identifier (condition No.) assigned to each valve operating condition, the valve opening degree, the fluid state amount on the upstream side, and the fluid state amount on the downstream side. In addition, each valve operating condition includes data such as an identifier (area No.) assigned to each cell on the inner wall of the valve, coordinates for each cell on the inner wall of the valve, and wall thinning speed for each cell on the inner wall of the valve. be able to.

The identifier (condition No.) includes, for example, an arbitrary number for each operating condition in which at least one of the valve opening, the fluid state amount on the upstream side, and the fluid state amount on the downstream side is different. Can be given. The wall thinning speed data includes an identifier (region No.) assigned to each cell on the inner wall of the valve and an inner wall of the valve according to the valve opening, the fluid state on the upstream side, and the fluid state on the downstream side. Is associated with the cell-by-cell coordinate data of.

The wall thinning diagnosis system 300 performs a process of diagnosing the wall thinning of the valve in a state where such a wall thinning speed database 160 is prepared in advance.

The diagnosis unit 320 of the wall thinning diagnosis system 300 includes a cumulative wall thinning amount calculation unit 106, a cumulative addition unit 107, a data storage unit 108, an image generation unit 109, a wall thinning speed data storage unit 150, an operation condition input unit 151, and a wall thinning unit. The speed acquisition unit 152 is provided.

The operation condition input unit 151 receives the input of the fluid state amount measurement data on the upstream side, the fluid state amount measurement data on the downstream side, and the valve opening data 120. When the process of diagnosing the wall thinning of the valve is started, the operation condition input unit 151 sends each operation condition data at the current time to be diagnosed to the wall thinning speed acquisition unit 152.

When each operation condition data at the current time is input from the operation condition input unit 151, the wall thinning speed acquisition unit 152 is input from the wall thinning speed database 160 stored in the wall thinning speed data storage unit 150. Acquire the wall thinning speed data corresponding to the condition data (measurement data). For example, when the valve opening data, the measurement data of the fluid state amount on the upstream side, and the measurement data of the fluid state amount on the downstream side are discrete, the mathematical distance is the shortest. Data can be obtained. The wall thinning speed acquisition unit 152 calculates the cumulative wall thinning amount in a state in which the wall thinning speed data acquired from the wall thinning speed data storage unit 150 is associated with an identifier representing individual operating conditions and an identifier representing individual cells. It is sent to the unit 106 and the image generation unit 109. Subsequent operations are the same as those of the wall thinning diagnosis system 100.

According to the above-mentioned thinning diagnosis system 300, a plurality of meshes are generated so as to cover the operating conditions. Then, a numerical analysis simulation is performed for each mesh and for each condition of the fluid state amount. When a large-scale parallel computer or the like is used for the numerical analysis simulation, the numerical analysis under various conditions can be performed in a short time, so that the wall thinning speed database can be created in a short time. Numerical analysis simulations under various conditions can also be performed before the actual operation of the valve. When it is necessary to diagnose the wall thinning of the valve, the wall thinning speed data can be obtained simply by searching the wall thinning speed database without executing the numerical analysis simulation, so the overall processing speed can be increased. be able to. Therefore, it becomes easy to make a diagnosis in real time during the actual operation of the valve. Further, since the system is separated into a calculation unit and a diagnosis unit, the diagnosis unit can be miniaturized by omitting a large-scale computer and a cooling device associated therewith. If the diagnostic unit is miniaturized, it can be attached to the valve itself, so that edge computing by IoT (Internet of Things) becomes possible.

<Fourth Embodiment>
Next, the valve thinning diagnosis system according to the fourth embodiment of the present invention, the valve thinning diagnosis method using the system, and the valve thinning diagnosis service will be described with reference to the drawings.

FIG. 8 is a diagram showing a configuration of a valve thinning diagnosis system according to a fourth embodiment.
As shown in FIG. 8, the valve thinning diagnosis system 400 according to the fourth embodiment includes a calculation unit 410, a management server 420, a valve shape database 421, a piping network shape database 422, and a client terminal 430. , Consists of.

The arithmetic unit 410 is connected to the management server 420 via a wired or wireless communication line. The management server 420 is connected to terminals 430 of a plurality of clients via a communication network. Further, the management server 420 is connected to the valve shape database 421 and the piping network shape database 422 via a wired or wireless communication line.

The client terminal 430 is a terminal operated by the valve user, and is installed in a field facility or the like provided with the valve 1 to be diagnosed operated by the user. The communication network is constructed by wired communication or wireless communication such as the Internet and LAN (Local Area Network).

The wall thinning diagnosis system 400 is a system for diagnosing the wall thinning of the valve in response to a diagnosis request from the valve user. The wall thinning diagnosis system 400 receives the operating conditions of the valve from the user via the communication network in order to enable the user to confirm the diagnosis result of the wall thinning of the valve in the field, and under the operating conditions. The rate and amount of wall thinning on the inner wall of the valve are obtained, and the diagnosis result of valve wall thinning is transmitted to the user via a communication network.

The client terminal 430 is composed of, for example, an arithmetic unit such as a CPU, a storage device such as a ROM or RAM, and a computer having an input interface, an output interface, a transmission / reception function, and the like. An input device for inputting operation data and the like, a display device, and the like are connected to the client terminal 430 via an interface. The client terminal 430 is connected to the valve 1 to be diagnosed via a wired or wireless communication line.

The valve 1 to be diagnosed includes an opening degree sensor 111, an upstream side sensor 113, a downstream side sensor 114, an opening degree control device 115, a valve body 116, a valve box 117 and the like. The client terminal 430 is provided so that measurement data of each fluid state amount can be input from the upstream sensor 113 and the downstream sensor 114. Further, the client terminal 430 is provided so that the valve opening degree data 120 can be input from the opening degree sensor 111.

In the calculation unit 410, the wall thinning diagnosis system 400 generates channel shape data, generates a mesh for numerical analysis, calculates the fluid state amount for each cell constituting the mesh, and thins each cell on the inner wall of the valve. It can be configured to calculate the speed, calculate the cumulative wall thinning amount for each cell on the inner wall of the valve, and display the diagnosis result of the wall thinning of the valve on the terminal 430 of the client. The user who operates the valve 1 can obtain the results of the numerical analysis simulation and the wall thinning speed calculation only by specifying the diagnostic conditions.

Similar to the calculation unit 310 of the wall thinning diagnosis system 300, the calculation unit 410 includes a flow path shape generation unit 102, a mesh generation unit 103, a fluid state amount calculation unit 104, a wall thinning speed calculation unit 105, and a valve opening condition. Generation unit 153, fluid condition generation unit 154, cumulative wall thinning amount calculation unit 106, cumulative addition unit 107, data storage unit 108, image generation unit 109, wall thinning speed data storage unit 150, operation condition input unit 151 and wall thinning speed. The acquisition unit 152 can be provided.

In the wall thinning diagnosis system 400, the user of the valve 1 to be diagnosed can request the diagnosis of the wall thinning of the valve 1 on the page of the wall thinning diagnosis service on the web or the like. The meat thinning diagnosis service may be paid or free of charge. In addition, it may be either a membership system or a non-membership system. When the management server 420 receives a diagnosis request from the user, the management server 420 receives the diagnosis request from the client terminal 430 and generates identification data for identifying the diagnosis request.

When the management server 420 receives the diagnosis request from the user of the valve 1, the valve shape data 110 representing the shape of the valve 1 and the valve opening data 120 representing the opening degree of the valve 1 are received via the terminal 430 of the client. , Receives information that identifies the piping network shape data 140 representing the shape of the piping network connected to the valve 1. For example, the user of valve 1 can see the type of valve 1 being operated, the type of pipe connected to valve 1, and the connection between valve 1 and piping on the user interface displayed on the client terminal 430. The type of structure and positional relationship and the operating condition range of valve 1 can be specified.

The management server 420 has a valve shape data 110 representing the shape of the valve 1, a valve opening data 120 representing the opening degree of the valve 1, a piping network shape data 140 representing the shape of the piping network connected to the valve, and a valve. It manages cumulative wall thickness data indicating the cumulative wall thickness reduction amount for each cell on the inner wall of the valve, diagnosis result data indicating the diagnosis result of valve wall thickness reduction, etc., and sends / receives, accepts, stores, reads, etc. these data. ..

When the management server 420 receives the information for specifying each data from the client terminal 430, the management server 420 accesses the valve shape database 421 and the piping network shape database 422, and acquires the corresponding valve shape data 110 and the piping network shape data 140. For specifying the data, the product name, product number, manufacturer name, etc. of the pipes and pipe joints constituting the valve 1 and the pipe, the type name of the connection structure classified in advance, and the like can be used. The management server 420 sends the valve shape data 110, the piping network shape data 140, and the data of the operating condition range to the calculation unit 410 in association with the identification data.

The calculation unit 410 constructs a wall thinning speed database 160 based on the valve shape data 110, the piping network shape data 140, and the data of the operating condition range, similarly to the wall thinning diagnosis system 300 (FIGS. 6 and 7). reference). The data in the operating condition range is referred to when the fluid condition generation unit 154 generates a plurality of condition data. The fluid state amount calculation unit 104 calculates the fluid state amount for each cell constituting the mesh, and the wall thinning speed calculation unit 105 calculates the wall thinning speed for each cell on the inner wall of the valve.

In the calculation unit 410, under the valve type specified by the user of the valve 1, the type of the pipe connected to the valve 1, the type of the connection structure and positional relationship between the valve 1 and the pipe, and the operating condition range of the valve. Then, data on the wall thinning speed for each cell on the inner wall of the valve is collected for each of the plurality of mesh data corresponding to the plurality of valve opening degree data 120 and for each of the condition data of the plurality of fluid state quantities. The collected wall thinning rate data is stored in the wall thinning rate database 160 for each diagnosis request (see FIG. 7).

The user of the valve 1 can use the operating condition data representing the actual operating conditions of the valve 1 to be diagnosed by the client before the wall thinning speed database 160 is constructed or after the wall thinning speed database 160 is constructed. It can be transmitted from the terminal 430 to the management server 420. When the management server 420 receives the operation condition data, the management server 420 sends the operation condition data from the operation condition input unit 151 to the fluid state quantity calculation unit 104.

In the calculation unit 410, the wall thinning speed acquisition unit 152 acquires the wall thinning speed data corresponding to the input data from the wall thinning speed database 160 when each data is input from the operation condition input unit 151. Then, the wall thinning speed acquisition unit 152 calculates the cumulative wall thinning amount in a state in which the wall thinning speed data acquired from the wall thinning speed database 160 is associated with the identifier representing each operating condition and the identifier representing each cell. It is sent to the unit 106 and the image generation unit 109.

The cumulative wall thinning amount calculation unit 106 calculates the cumulative wall thinning amount for each cell on the inner wall of the valve. Further, the image generation unit 109 shows a diagnosis result of the wall thickness reduction of the valve based on the data of the cumulative wall thickness reduction amount for each cell of the inner wall of the valve and the data of the wall thickness reduction rate for each cell of the inner wall of the valve. Generate data. The diagnosis result data is stored in the diagnosis result database 130 in a state associated with the identification data that identifies the diagnosis request. The diagnostic results of valve wall thinning can also be rendered on the user interface. In such a case, data corresponding to the user interface is generated as the diagnosis result data.

The user of the valve 1 to be diagnosed can be notified of the end of the diagnosis by, for example, the management server 420 by e-mail or the like. In addition, the user can request an inquiry of the diagnosis result of the wall thinning of the valve 1 on the page of the wall thinning diagnosis service on the web or the like. When the management server 420 receives the inquiry request from the user of the valve 1, the management server 420 accesses the diagnosis result database 130 and acquires the corresponding cumulative wall thinning amount data and the like. Then, the data including the corresponding cumulative wall thinning amount data and the like is transmitted to the client terminal 430 as the diagnosis result data that can be confirmed by the user. An image showing the diagnosis result of the wall thinning of the valve is displayed on the display device 10 of the terminal 430 of the client.

According to the above-mentioned thinning diagnosis system 400 and the thinning diagnosis method using the same, the user who operates the valve to be diagnosed has a device having a transmission / reception function, a display function, etc., and a sensor installed on the valve. If so, it is possible to receive a diagnosis of valve wall thinning. Therefore, it is possible to reduce the cost of system introduction, maintenance, maintenance, and the like. By using a large-scale parallel computer or the like for numerical analysis simulation, it is possible to respond to diagnostic requests for a plurality of users and collect data on operating conditions. The collected operating condition data can be used to improve the accuracy and reliability of diagnosis by creating a database. In addition, a web diagnosis service that provides diagnostic results by a user inputting operating conditions and a valve model into a wall thinning diagnosis system on the web becomes possible. According to such a diagnostic service, a user who operates a valve or a user who is planning to design a plant can specify an operating condition and a valve model and receive a diagnostic result, so that the valve in the design of the plant can be received. Can be selected and operating conditions can be set appropriately.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the present invention. For example, the present invention is not necessarily limited to those having all the configurations included in the above-described embodiment. Replacing part of the configuration of one embodiment with another, adding part of the configuration of one embodiment to another, or omitting part of the configuration of one embodiment. Can be done.

For example, the wall thinning diagnosis systems 100, 200, 300, 400 and the wall thinning diagnosis method using the same are the valve opening measured by the opening sensor 111 and the fluid state amount measured by the sensors 113, 114. Is used for numerical analysis simulation. However, the process of diagnosing the wall thinning of the valve can also be performed by using a predicted value, an estimated value, a virtual value, or the like of the opening degree of the valve or the state amount of the fluid. For example, it is possible to predict a scenario of temporal change of valve operating conditions and use it as operating conditions. According to such a method, it is possible to predict the amount of wall thinning of the valve in the future and diagnose the life of the valve. In addition, since it is possible to make proposals and advice to users in search of operating conditions in which valve wall thinning is suppressed, it can be utilized in fields such as maintenance business, product development, and operation consulting.

Further, in the wall thinning diagnosis method using the wall thinning diagnosis system 100, 200, 300, 400, the fluid state amount for each small region obtained by dividing the flow path region of the valve is calculated by a numerical analysis simulation. Further, the wall thinning rate for each small area of the inner wall of the valve is calculated by the wall thinning rate calculation unit, and the cumulative wall thinning amount for each small area of the inner wall of the valve is calculated by the cumulative wall thinning amount calculation unit. However, these calculations can be performed by a simpler method instead of a large-scale computer. For example, the flow inside a valve or the like may be empirically patterned. In such a case, it can be assumed that the flow path region is divided into small regions of several patterns such as a straight flow, a curved flow, and a peeling flow. Therefore, the fluid state amount can be estimated for each small region divided into several patterns based on the measurement of the sensor. Since it is not necessary to use a large-scale computer or the like, the overall processing speed can be increased.

That is, as the method for diagnosing wall thinning of a valve according to the present invention, the shape of the flow path region of the valve is determined based on the valve shape information indicating the shape of the valve and the valve opening information indicating the opening degree of the valve. , The flow path region of the valve is divided into a plurality of small regions, the fluid state amount representing the fluid state in each small area is calculated, and the small inner wall of the valve is calculated based on the fluid state amount calculated for each small area. An appropriate method can be used if the configuration is such that the wall thinning rate for each region is calculated, the wall thinning speed is time-integrated, and the cumulative wall thinning amount for each small area of the inner wall of the valve is calculated. For example, a method of executing a part of the calculation by another device, a method of performing a part or all of the calculation by direct substitution to the basic equation, or the like can be used.

Alternatively, the wall thinning diagnosis system 400 may generate flow path shape data, generate a mesh for numerical analysis, calculate the fluid state amount for each cell constituting the mesh, and generate each cell on the inner wall of the valve in the calculation unit 410. It is also possible to calculate the wall thinning speed, calculate the cumulative wall thinning amount for each cell of the inner wall of the valve, and display the diagnosis result of the wall thinning of the valve on the client terminal 430.

Further, information for specifying the valve shape data 110 representing the shape of the valve 1, the valve opening data 120 representing the opening degree of the valve 1, and the piping network shape data 140 representing the shape of the piping network connected to the valve is transmitted. May be via the terminal 430 of the client, or may be via another computer, smartphone, or the like. The same applies to the transmission of the operation condition data representing the actual operation condition of the valve 1 and the reception of the diagnosis result data.

Further, some or all of the functions of the wall thinning diagnosis system 100, 200, 300, 400 may be realized by hardware, software, or a combination thereof. As the software, a program stored in a storage medium readable by a computer can be used. Further, the management server 420 may be provided with a single server or a plurality of servers. The shape database 421 and the piping network shape database 422 may be connected to the network with access restrictions. The individual functions of the wall thinning diagnostic system 400 may be realized by cloud computing.

1 Valve 2 Connection piping 10 Display device 100 Wall thinning diagnosis system 101 Fluid information input unit 102 Flow path shape generation unit 103 Mesh generation unit 104 Fluid state amount calculation unit 105 Wall thinning speed calculation unit 106 Cumulative wall thinning amount calculation unit 107 Cumulative addition Unit 108 Data storage unit 109 Image generation unit 110 Valve shape data 111 Opening sensor 113 Upstream side sensor 114 Downstream side sensor 115 Opening control device 116 Valve body 117 Valve box 120 Valve opening data 130 Diagnosis result database 131 Numerical image 132 Shape Image 140 Piping network shape data 150 Wall thinning speed data storage unit 151 Operation condition input unit 152 Wall thinning speed acquisition unit 153 Valve opening condition generation unit 154 Fluid condition generation unit 160 Wall thinning speed database 200 Wall thinning diagnosis system 213 Piping network upstream Side sensor 300 Thinning diagnosis system 310 Calculation unit 320 Diagnosis unit 400 Thickness reduction diagnosis system 410 Calculation unit 420 Management server (server)
421 Valve shape database 422 Piping network shape database 430 Terminal (client)

Claims (9)

It is a valve thinning diagnosis system that diagnoses valve thinning.
A flow path shape generating unit that generates flow path shape data representing the shape of the flow path region of the valve based on the valve shape data representing the valve shape and the valve opening data representing the valve opening degree. ,
A mesh generation unit that divides the flow path region into a plurality of small regions and generates a mesh for numerical analysis.
A fluid state quantity calculation unit that calculates a fluid state quantity representing the fluid state of each small region on the mesh, and a fluid state quantity calculation unit.
A wall thinning speed calculation unit that calculates the wall thinning speed for each small area of the inner wall of the valve based on the fluid state amount calculated for each small area.
A cumulative wall thinning amount calculation unit that calculates the cumulative wall thinning amount for each small area of the inner wall of the valve by time-integrating the wall thinning speed.
A valve thinning diagnosis system including a data storage unit for storing cumulative wall thinning data representing a cumulative wall thinning amount for each small area of the inner wall of the valve. The valve thinning diagnostic system according to claim 1.
The flow path shape generating unit is a valve that generates the flow path shape data based on the valve shape data, the valve opening degree data, and the piping network shape data representing the shape of the piping network connected to the valve. Thinning diagnosis system. The valve thinning diagnostic system according to claim 1.
An upstream sensor that measures the amount of fluid state on the upstream side, which indicates the state of the fluid flowing into the valve,
A downstream sensor that measures the amount of fluid state on the downstream side that indicates the state of the fluid flowing out of the valve,
The measurement data of the upstream side fluid state amount measured by the upstream side sensor and the measurement data of the downstream side fluid state amount measured by the downstream side sensor are input to the fluid state amount calculation unit. Equipped with a fluid state quantity input unit
The fluid state amount calculation unit is a valve thinning diagnosis system that calculates the fluid state amount based on the measurement data. The valve thinning diagnostic system according to claim 1.
The mesh generation unit generates a plurality of the meshes,
The fluid state amount calculation unit calculates the fluid state amount for each small region for each of a plurality of meshes, and then calculates the fluid state amount for each small area.
The wall thinning speed calculation unit calculates the wall thinning speed for each small area for each of a plurality of meshes.
The wall thinning speed data is stored as a database in the valve thinning diagnosis system. The valve thinning diagnostic system according to claim 4.
An upstream sensor that measures the amount of fluid state on the upstream side that indicates the state of the fluid flowing into the valve,
A downstream sensor that measures the amount of fluid state on the downstream side that indicates the state of the fluid flowing out of the valve,
The operation condition input unit for acquiring the measurement data of the fluid state amount on the upstream side measured by the upstream sensor and the measurement data of the fluid state amount on the downstream side measured by the downstream sensor is provided.
The operation condition input unit sends the measurement data of the fluid state amount on the upstream side and the measurement data of the fluid state amount on the downstream side to the wall thinning speed acquisition unit.
The wall thinning speed acquisition unit is a valve wall thinning diagnosis system that acquires the wall thinning speed data corresponding to the measurement data from the database and sends the wall thinning speed data to the cumulative wall thinning amount calculation unit. The valve thinning diagnostic system according to claim 1.
A valve thinning diagnostic system including a display device that displays the cumulative wall thinning amount for each small area of the inner wall of the valve. The valve thinning diagnostic system according to claim 1.
It is connected to a communication network and has a server that manages the valve shape data and the cumulative wall loss data.
The server is a valve thinning diagnosis system that receives input of the valve shape data from a client and transmits the cumulative wall thinning amount data calculated based on the valve shape data to the client. Diagnosis of valve wall thinning This is a valve wall thinning diagnosis method.
Based on the valve shape information indicating the shape of the valve and the valve opening information indicating the opening degree of the valve, the shape of the flow path region of the valve is determined.
The flow path region is divided into a plurality of small regions, and the fluid state quantity representing the fluid state for each small region is calculated.
Based on the fluid state amount calculated for each small region, the wall thinning rate for each small region of the inner wall of the valve is calculated.
A valve thinning diagnosis method for calculating the cumulative wall thinning amount for each small region of the inner wall of the valve by time-integrating the wall thinning speed. It is a valve thinning diagnosis service that diagnoses valve thinning.
Valve thinning diagnosis system for diagnosing valve thinning and
A server that is connected to a communication network and manages valve shape data that represents the shape of the valve and diagnostic result data that represents the cumulative wall thickness reduction for each small area of the inner wall of the valve.
It has a client that is connected to the communication network and is operated by the user of the valve.
The server receives a diagnosis request from the user of the valve, receives information for identifying the valve shape data via the client, and receives information.
The wall thinning diagnosis system calculates the cumulative wall thinning amount based on the valve shape data.
The cumulative wall thinning amount data is a valve thinning diagnosis service transmitted from the server to the client as diagnosis result data that can be confirmed by the user.

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