CN115470682A - Pump station unit hydraulic component wear and service life prediction method based on digital twinning - Google Patents
Pump station unit hydraulic component wear and service life prediction method based on digital twinning Download PDFInfo
- Publication number
- CN115470682A CN115470682A CN202211287864.7A CN202211287864A CN115470682A CN 115470682 A CN115470682 A CN 115470682A CN 202211287864 A CN202211287864 A CN 202211287864A CN 115470682 A CN115470682 A CN 115470682A
- Authority
- CN
- China
- Prior art keywords
- pump station
- station unit
- hydraulic component
- wear
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
- G06T17/205—Re-meshing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Algebra (AREA)
- Fluid Mechanics (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Computer Graphics (AREA)
- Computational Mathematics (AREA)
- Structures Of Non-Positive Displacement Pumps (AREA)
- Control Of Positive-Displacement Pumps (AREA)
Abstract
The invention discloses a pump station unit hydraulic component wear and service life prediction method based on digital twinning, which comprises the following steps: carrying out three-dimensional modeling and meshing on hydraulic components of the pump station unit; analyzing the operation mechanism of the internal flow of the flow passage component of the pump station unit; carrying out simulation on hydraulic components of the pump station unit; acquiring and storing digital twin data, and performing management and deep mining; performing wear analysis and correction on the states of hydraulic components of the pumping station unit based on the upper and lower computer systems to obtain a digital twin model of the hydraulic components of the pumping station unit; the service life of the hydraulic component of the pump station set is predicted based on the digital twin model of the hydraulic component of the pump station set, and a service life prediction result is obtained; and overhauling and replacing the hydraulic component of the pump station unit based on the service life prediction result. The digital twin model established by the invention can accurately map the entity state of the pump station unit, and the research on hydraulic component abrasion and service life prediction on the established digital twin model is more suitable for practical application.
Description
Technical Field
The invention belongs to the field of digital twinning, and particularly relates to a pump station unit hydraulic component wear and service life prediction method based on digital twinning.
Background
The water pump can not work independently, and needs a power machine, a transmission device, a pipeline system and corresponding buildings, so that the overall engineering facility for enabling the water pump to normally operate is called a pump station, and the pump station is taken as an important part of water taking and conveying engineering, and has been widely applied to the aspects of industrial and agricultural production, hydraulic engineering construction and the like such as electromechanical drainage and irrigation, cross-basin water transfer, urban and rural water supply and drainage and the like. The pump station unit is used as main equipment of a pump station, is a system formed by a plurality of pumps in a series-parallel connection mode in order to meet different water transfer requirements, and is more complex in operation management and maintenance compared with an independent pump.
Statistically, the power consumption of the pump system accounts for about 20% of the power consumption of the whole society, and a part of the power is used for the loss of the pump, which is shown in that the water conveyed by the pump contains a certain amount of sand particles, and the phenomenon is particularly serious in yellow river irrigation engineering, and the sand conveying amount of the yellow river reaches 16 hundred million tons. The silt carried in the river has serious abrasion problem on hydraulic turbine units, pump stations and the like on the river, and serious economic loss is caused. However, the numerical research mostly adopts single-particle-size particles and spherical particles, which is far from the actual engineering, so that it is necessary to research the actual abrasion.
The hydraulic power part structure of pump station unit is complicated, and with fluid contact, can't directly look over the wearing and tearing condition through disassembling, adopts the regular maintenance to maintain the health of pump station unit in the tradition, lacks pertinence, resource-wasting. The digital twins reflect the running conditions of the physical entity through the virtual entity on the premise of keeping consistency of the physical entity and the virtual entity through iterative interaction of the physical entity and the virtual entity, so that a more accurate abrasion result is achieved, the residual life of the hydraulic component is predicted on the basis of the more accurate abrasion result, and the replacement time of the hydraulic component is determined. Therefore, a pump station unit hydraulic component wear and service life prediction method based on digital twinning is provided.
Disclosure of Invention
The invention aims to provide a pump station unit hydraulic component wear and service life prediction method based on digital twinning, and aims to solve the problems in the prior art.
In order to achieve the aim, the invention provides a pump station unit hydraulic component wear and service life prediction method based on digital twinning, which comprises the following steps:
acquiring a hydraulic component of a pump station unit, and performing three-dimensional modeling and grid division on the hydraulic component of the pump station unit;
analyzing the operation mechanism of the internal flow of the flow passage component of the pump station unit, and determining a stress analysis of particles, a solid-liquid two-phase flow calculation model and a wear model;
performing simulation on the hydraulic component of the pump station unit to obtain a simulation model of the overflow component of the pump station unit, so that the selection and the setting of each element of the simulation model of the hydraulic component of the pump station unit are consistent with those of the overflow component of the pump station unit;
acquiring and storing digital twin data, and managing and deeply mining the digital twin data;
performing wear analysis and real-time adjustment and correction on the state of the hydraulic component of the pump station unit based on an upper computer system and a lower computer system, and re-modeling after each wear analysis to make the hydraulic component of the pump station unit consistent with the actual situation, so as to obtain a digital twin model of the hydraulic component of the pump station unit;
predicting the service life of the hydraulic component of the pump station unit based on the digital twin model of the hydraulic component of the pump station unit to obtain a service life prediction result;
and overhauling and replacing the hydraulic component of the pump station unit based on the service life prediction result.
Optionally, the process of performing three-dimensional modeling and meshing on the hydraulic component of the pump station unit includes:
according to the analysis of pump-out plant size data, the assembly position and the assembly relation of a hydraulic model pump station unit overflowing component, independently establishing and assembling a virtual part fluid domain of the hydraulic component of the pump station unit based on three-dimensional modeling software, and obtaining a three-dimensional model of the hydraulic component of the pump station unit;
and analyzing the three-dimensional model of the hydraulic component of the pump station unit based on a finite element analysis method, carrying out surface definition based on mesh division software, selecting a mesh type according to the complexity of the overflow component of the pump station unit and the calculation precision requirement, and carrying out mesh quality check and mesh independence verification.
Optionally, in determining the force analysis of the particle, the force of the particle in the fluid is divided into: the force direction generated by the relative motion among the fluid particles is along the direction of the relative motion, and the force direction vertical to the direction of the relative motion is generated by the relative motion among the fluid particles.
Optionally, the solid-liquid flow calculation model comprises a two-fluid model, a single-fluid model, and a discrete phase model; the wear model includes: finnic wear model, tabakoff and Grant wear model, mcLaury wear model, oka wear model.
Optionally, the process of performing simulation on the hydraulic component of the pump station unit includes:
importing a three-dimensional model of a hydraulic component of a pump station unit into simulation software, simulating the internal flow problem of the overflow component of the pump station unit under the condition of solid-liquid two-phase flow based on unsteady calculation, and setting boundary conditions; the boundary conditions comprise an inlet boundary condition, an outlet boundary condition and a wall boundary;
setting solving conditions, the shape of a particle phase and contact models between particles and a wall surface; in the process of setting solving conditions, a rotating coordinate system is adopted for an impeller area, and a static coordinate system is adopted for a volute part.
Optionally, in the process of managing and deeply mining the digital twin data, dividing the digital twin data into pump station unit flow passage component running state data, particle characteristic data and running state and particle characteristic interaction data;
the running state data of the pump station unit flow passage component comprises external characteristic parameters which indirectly reflect the wear degree of the pump; the particle characteristic data comprises particle size, particle concentration, particle shape, particle velocity, particle incident angle of the particles; and performing coupling calculation between the operation state and the particle characteristic interaction data solid-liquid two-phase flow.
Optionally, the process of performing wear analysis and real-time adjustment and correction on the state of the hydraulic component of the pump station unit based on the upper and lower computer systems comprises:
acquiring pump station unit state data, and reflecting the wear state of a pump station unit based on the pump station unit state data;
establishing a data acquisition platform, inputting set boundary conditions into the solid-liquid two-flow calculation model, obtaining a simulated wear loss analysis result, and performing wear analysis based on the simulated wear loss analysis result;
and acquiring external characteristic data based on the simulation abrasion loss analysis result, comparing the external characteristic data with the pump station unit state data, and adjusting and correcting in real time based on the comparison result.
Optionally, the process of predicting the service life of the pump station unit hydraulic component based on the pump station unit hydraulic component digital twin model includes:
predicting the wear trend and the wear loss of the hydraulic component according to the pump station unit state data stored historically based on the pump station unit hydraulic component digital twin model, and constructing a hydraulic component wear process degradation model;
and acquiring a life prediction result based on the hydraulic component wear process degradation model.
Optionally, the historical performance parameters indirectly reflecting the wear degree include the operating efficiency of the pump station unit, the inlet and outlet pressure of the pump station unit, the motor power of the pump station unit, and the rotating speed of the pump station unit
Optionally, in the process of constructing the hydraulic component wear process degradation model, the target quantity is the operating efficiency of the pump station unit, the independent variables are inlet and outlet pressure, motor power and rotating speed, and the wear quantity through simulation analysis represents a change process.
The invention has the technical effects that:
the invention realizes the three-dimensional modeling and the grid division of the hydraulic component of the pump station set by utilizing the actual geometric parameters, material attributes and the like of the hydraulic component of the pump station set; determining the stress analysis of particles, a calculation model of solid-liquid two-phase flow and the determination of a wear model by considering the particle motion rule and the wear mechanism of a pump under the condition of solid-liquid two-phase flow; establishing a simulation model of the pump station unit flow passage component based on geometric modeling and simulation software fluent of the pump station unit flow passage component; twin data after simulation analysis are stored in a database, and the twin data mainly comprise pump station unit performance data of which the wear state corresponds to and indirectly reflects wear; and (3) reconstructing, gridding and simulating the model through the steps to keep the model consistent with a physical entity, wherein the model comprises analysis of model parameters, and a pump station unit hydraulic component digital twin model is established through the process. A degradation model of the hydraulic component abrasion process is established on the basis of a digital twin model, and a life prediction result corresponding to the abrasion performance parameters of the hydraulic component is obtained according to the operation data of an actual pump station unit. By the method, the established digital twin model can accurately map the entity state of the pump station unit, and then the research on the abrasion and service life prediction of the hydraulic component is carried out on the established digital twin model.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a flow chart of abrasion of hydraulic parts of a digital twinning-based pump station unit in an embodiment of the invention;
FIG. 2 is a diagram of a digital twin model of a hydraulic component of a pump station unit in an embodiment of the invention;
fig. 3 is a flow chart of a life prediction and maintenance method for hydraulic components of a pump station unit based on digital twinning in the embodiment of the invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example one
According to an embodiment of the invention, a pump station unit hydraulic component wear and life prediction method based on digital twinning of the invention is provided, fig. 1 is a pump station unit hydraulic component digital twinning model schematic diagram of the invention, fig. 2 is a pump station unit hydraulic component wear flow diagram based on digital twinning of the invention, fig. 3 is a pump station unit hydraulic component life prediction maintenance method flow diagram based on digital twinning of the invention, and the specific implementation mode comprises:
specifically, the invention designs a method for predicting the abrasion and service life of a hydraulic component of a pump station set based on digital twinning, as shown in figure 1, firstly, a digital twinning model of the hydraulic component of the pump station set is obtained through the following steps (1) to (5):
the method comprises the following steps of (1) carrying out three-dimensional processing on a virtual entity of the hydraulic component of the pump station set, realizing three-dimensional modeling and grid division on the hydraulic component of the pump station set based on actual geometric parameters, material attributes and the like of the hydraulic component of the pump station set:
and (2) analyzing the operation mechanism of the internal flow of the flow passage component of the pump station unit, considering the particle motion rule and the abrasion mechanism of the pump under the condition of solid-liquid two-phase flow, and determining the stress analysis of particles, the calculation model of the solid-liquid two-phase flow and the determination of an abrasion model:
and (3) carrying out simulation on the hydraulic component of the pump station unit, establishing a simulation model of the flow passing component of the pump station unit based on geometric modeling and simulation software fluent of the flow passing component of the pump station unit, wherein the selection and the setting of each element of the simulation model of the hydraulic component are consistent with those of the actual flow passing component of the pump station unit:
and (4) storing the digital twin data, realizing the management of the digital twin data and deeply mining the data:
and (5) analyzing the abrasion of the hydraulic component of the pump station unit, realizing real-time adjustment and model correction of the state of the hydraulic component of the pump station unit based on an upper computer system and a lower computer system, and performing re-modeling after each abrasion analysis to make the state of the hydraulic component consistent with the actual situation, wherein the whole closed loop forms a digital twin model of the hydraulic component of the pump station unit:
in practical applications, the step (1) specifically executes the following steps (1.1) to (1.2);
(1.1) analyzing the assembly position and the assembly relation of the hydraulic component of the pumping station unit according to the pump-out plant size data and the hydraulic model, and independently establishing and assembling a virtual part fluid domain of the hydraulic component of the pumping station unit by adopting three-dimensional modeling software such as CREO, UG, spacclaim and the like;
the hydraulic component of the pump station unit comprises an impeller, a volute and blades, and the assembly of the hydraulic component is based on the following constraint criteria: reference axis of impeller and reference axis of volute, impeller median plane and
the volute midplane, where attention is paid to the direction of rotation of the impeller;
(1.2) analyzing by adopting a finite element analysis method according to the established three-dimensional model, defining the surface by using grid division software such as ICEM (intensive computer engineering), fluent masking, gambit and the like, selecting a grid type according to the complexity of an overflow component of a pump station unit and the requirement of calculation precision, and finally checking the grid quality and verifying the independence of the grid;
wherein, the surface is defined into an impeller inlet and an outlet, and a volute inlet and a volute outlet; the grid division type comprises three types of unstructured grids, structured grids and mixed grids, a flow field calculation domain can respectively carry out grid division on the impeller and the volute through grid division software ICEM, and grid encryption is carried out on a blade boundary area and a separation tongue;
in practical applications, the step (2) specifically executes the following steps (2.1) to (2.3);
(2.1) due to the fact that the particles are various in size and shape, the motion rule is difficult to determine, and through research and analysis, the stress of the particles in the fluid is roughly divided into the following three types: a force which is irrelevant to the relative movement of the fluid particles, a force which is generated due to the relative movement of the fluid particles and has a direction along the relative movement direction, and a force which is generated due to the relative movement of the fluid particles and has a direction vertical to the relative movement direction;
(2.2) based on the wide application of numerical calculation in the existing solid-liquid two-phase flow, the solid-liquid two-phase flow model can be divided into three types: the method comprises the following steps of (1) carrying out a double-fluid model, a single-fluid model and a discrete phase model, wherein the classification conditions of the models are different according to the assumed conditions of a liquid phase and a solid phase;
the flow model of the solid-liquid two phases is mainly based on a coupling mechanism of the solid-liquid two phases, and the coupling between the continuous phase and the discrete phase is mainly completed by exchanging momentum, energy and mass;
(2.3) commonly used wear models are: the Finnic abrasion model, the Tabakoff and Grant abrasion model, the McLaury abrasion model and the Oka abrasion model can obtain the relationship between the abrasion of the hydraulic component and the factors such as particle size, particle concentration, particle speed, particle incident angle, wall material, particle shape and the like;
the numerical model of the wall surface abrasion adopts an abrasion model which is proposed by Archard based on contact mechanics between particles and the wall surface, and the model comprises parameters such as material hardness, load of a contact point and the like;
in practical applications, the following steps (3.1) to (3.2) are specifically executed in the step (3);
(3.1) firstly, introducing a geometric model into simulation software, simulating the internal flow problem of the pump station unit flow passage component under the condition of solid-liquid two-phase flow by adopting unsteady calculation, and setting boundary conditions: an entrance boundary condition, an exit boundary condition, a wall boundary;
the boundary condition is a condition which needs to be met in the moving boundary calculation process of the fluid, the main phase is water, the secondary phase is solid particles, the inlet adopts a pressure inlet, the outlet adopts a pressure outlet, pressure data is collected by a pressure sensor, a non-slip wall surface is adopted for the wall surface boundary, and the flow of a near-wall surface area is processed by using a standard wall surface function;
(3.2) setting solving conditions, wherein the solving conditions comprise that a rotating coordinate system is adopted for an impeller area, a static coordinate system is adopted for a volute part, the properties of particle phases and contact models between particles and a wall surface are set;
the particle phase properties can be monitored by water particles flowing into the pump, the general sampler comprises a horizontal sampler and a bottle sampler, and the particle parameters comprise the particle size, shape, particle density, poisson's ratio, shear modulus and other parameters; the contact parameters of the contact model comprise particle-particle and particle-wall surface mutual contact, the coefficient of restitution is the parameter of the rebound degree of the two objects after collision, and the friction coefficient comprises static friction and rolling friction;
in practical applications, the step (3) specifically executes the following steps (4.1) to (4.2);
(4.1) establishing a database aiming at the complexity of the stored content, wherein the database can adopt MySQL, and commands such as adding and deleting the stored content are realized by inputting a specific SQL sentence;
the database can be called by a DAQ acquisition control in LabVIEW and MySQL to form automatic acquisition and storage of data;
(4.2) based on the established database, the imported storage content is divided into three parts: the running state of the overflowing part of the pump station unit comprises external characteristic parameters which indirectly reflect the wear degree of the pump; characteristic data of the particles: including particle size, particle concentration, particle shape, particle velocity, particle incident angle; the pump station unit running state and particle characteristic interactive data mainly comprises coupling calculation between solid-liquid two-phase flow;
the external characteristic parameters of the pump station unit overflow component indirectly reflecting the wear degree of the pump comprise inlet and outlet pressure, vibration acceleration and power, and because particles in the water body can generate unstable flow, the water flow loss is increased, the lift can be reduced, and meanwhile, the power of the motor can be increased; the coupling calculation process between the solid-liquid two-phase flow comprises the following steps: firstly, internal flow field calculation is carried out in simulation software, flow field information is transmitted to particles, and the particles receive the flow field information and then carry out retrieval calculation on the position, the speed, the collision and the like and update;
in practical applications, the step (5) specifically executes the following steps (5.1) to (5.3);
(5.1) reading the state data of the pump station unit by a lower computer through a sensor arranged on the pump station unit, converting the state data into digital signals and feeding the digital signals back to an upper computer, wherein the upper computer can indirectly display the state data reflecting the abrasion of the pump station unit, such as pressure, vibration and motor power;
(5.2) the upper computer establishes a data acquisition platform according to the programming logic of data acquisition by selecting LabVIEW programming software, and the selection of each control needs to meet the acquisition requirement and can issue commands to related control equipment;
the related control equipment comprises the opening degree of a valve, the rotating speed of a motor and a start-stop button, and is used for respectively performing related control on the flow, the power and the start-stop of the pump station unit;
(5.3) obtaining an analysis result of the simulated abrasion loss by inputting boundary condition data into a solid-liquid two-phase flow model, simultaneously obtaining external characteristic data such as a lift and the like through an inlet-outlet pressure difference obtained through the simulation result, comparing the external characteristic data with pressure data of an inlet and an outlet collected by a pressure sensor placed in an actual pump station unit, correcting relevant parameters, re-modeling on the basis of abrasion, carrying out grid division and simulation analysis, re-modeling after each abrasion analysis is finished, enabling the actual situation to be consistent with the actual situation, and forming a digital twin model of a hydraulic component of the pump station unit by the whole closed loop;
the correction of the relevant parameters comprises adjusting the turbulence intensity of a turbulence model, contact parameters in a contact model, recovery parameters, friction coefficients, material hardness in a wear model and the load of a contact point; the re-modeling size is based on each abrasion analysis, a model after abrasion is re-established according to the principle that the abrasion can thin the thickness of the hydraulic part, the gridding needs to be verified independently again, and the simulation analysis also needs to carry out parameter correction (figure 2);
the method is further based on the digital twin model, as shown in FIG. 3, and realizes the service life prediction of the hydraulic components of the pump station set according to the following steps A to B;
a, based on the digital twin model, predicting the wear tendency and the wear loss of the hydraulic component by using historical performance parameters which indirectly reflect the wear degree and are acquired when the hydraulic component is worn, and constructing a degradation model related to the wear process of the hydraulic component aiming at each performance parameter related to the wear of the hydraulic component;
b, aiming at the sensor data obtained on the actual pump station unit overflowing component, a service life prediction result corresponding to the abrasion performance parameters of the hydraulic component can be obtained, namely, the service life prediction of the hydraulic component is realized, and the maintenance and the replacement of the hydraulic component of the pump station unit are carried out according to the service life prediction result;
in practical application, the performance parameters indirectly reflecting the wear degree in the step A comprise the operation efficiency of the pump station unit, the inlet and outlet pressure of the pump station unit and the motor power of the pump station unit, and meanwhile, the wear loss of a hydraulic component is used as another target quantity;
in practical application, the degradation model in the step a is constructed mainly by a machine learning method, so that the operation parameters of the hydraulic component wear process of the pump station unit are continuously learned by the machine to form a functional relationship between a target quantity and an independent variable, wherein the target quantity is mainly the operation efficiency of the pump station unit, the independent variable is mainly inlet and outlet pressure, motor power and particle attributes, and the wear analysis through simulation software represents the change process.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A pump station unit hydraulic component wear and service life prediction method based on digital twinning is characterized by comprising the following steps:
acquiring a hydraulic component of a pump station unit, and performing three-dimensional modeling and grid division on the hydraulic component of the pump station unit;
analyzing the operation mechanism of the internal flow of the flow passage component of the pump station unit, and determining a stress analysis of particles, a solid-liquid two-phase flow calculation model and a wear model;
performing simulation on the hydraulic component of the pump station unit to obtain a simulation model of the overflowing component of the pump station unit, so that the selection and setting of each element of the simulation model of the hydraulic component of the pump station unit are consistent with those of the overflowing component of the actual pump station unit;
acquiring and storing digital twin data, and managing and deeply mining the digital twin data;
performing wear analysis and real-time adjustment and correction on the state of the hydraulic component of the pump station unit based on an upper computer system and a lower computer system, and modeling again after each wear analysis to make the hydraulic component of the pump station unit consistent with the actual condition, so as to obtain a digital twin model of the hydraulic component of the pump station unit;
predicting the service life of the hydraulic component of the pump station unit based on the digital twin model of the hydraulic component of the pump station unit to obtain a service life prediction result;
and overhauling and replacing the hydraulic component of the pump station unit based on the service life prediction result.
2. The method for predicting the wear and the service life of the hydraulic component of the pump station set based on the digital twin according to claim 1, wherein the process of performing three-dimensional modeling and meshing on the hydraulic component of the pump station set comprises the following steps:
according to pump station size data, the assembly position of a hydraulic model pump station unit overflowing part and analysis of an assembly relation, independently establishing and assembling a virtual part fluid domain of the hydraulic part of the pump station unit based on three-dimensional modeling software, and obtaining a three-dimensional model of the hydraulic part of the pump station unit;
analyzing the three-dimensional model of the hydraulic component of the pump station unit based on a finite element analysis method, carrying out surface definition based on mesh division software, selecting a mesh type according to the complexity of the overflowing component of the pump station unit and the requirement of calculation precision, and carrying out mesh quality check and mesh independence verification.
3. The method for predicting the abrasion and the service life of the hydraulic component of the pump station set based on the digital twinning as claimed in claim 1, wherein in the process of determining the stress analysis of the particles, the stress of the particles in the fluid is divided into: the force direction generated by the relative motion among the fluid particles is along the direction of the relative motion, and the force direction vertical to the direction of the relative motion is generated by the relative motion among the fluid particles.
4. The method for predicting the wear and the service life of the hydraulic components of the pumping station unit based on the digital twin according to claim 1, wherein the solid-liquid flow calculation model comprises a two-fluid model, a single-fluid model and a discrete phase model; the wear model includes: finnic wear model, tabakoff and Grant wear model, mcLaury wear model, oka wear model.
5. The method for predicting the wear and the service life of the hydraulic component of the pump station unit based on the digital twin according to claim 1, wherein the process of performing simulation on the hydraulic component of the pump station unit comprises the following steps:
importing a three-dimensional model of a hydraulic component of a pump station unit into simulation software, simulating the internal flow problem of the overflow component of the pump station unit under the condition of solid-liquid two-phase flow based on unsteady calculation, and setting boundary conditions; the boundary conditions comprise an inlet boundary condition, an outlet boundary condition and a wall boundary;
setting solving conditions, the shape of a particle phase and contact models between particles and a wall surface; in the process of setting solving conditions, a rotating coordinate system is adopted for an impeller area, and a static coordinate system is adopted for a volute part.
6. The method for predicting the wear and the service life of the hydraulic component of the pump station unit based on the digital twin according to claim 1, wherein in the process of managing and deeply mining the digital twin data, the digital twin data is divided into running state data of an overflow component of the pump station unit, particle characteristic data and interactive data of the running state and the particle characteristic;
the running state data of the overflowing part of the pump station unit comprises external characteristic parameters which indirectly reflect the wear degree of the pump; the particle characteristic data comprises particle size, particle concentration, particle shape, particle velocity, particle incident angle of the particles; and (3) calculating the coupling between the operation state and the solid-liquid two-phase flow of the particle characteristic interaction data.
7. The method for predicting the abrasion and the service life of the hydraulic component of the pump station set based on the digital twin according to claim 1, wherein the process of performing abrasion analysis and real-time adjustment and correction on the state of the hydraulic component of the pump station set based on an upper computer system and a lower computer system comprises the following steps:
acquiring pump station unit state data, and reflecting the wear state of a pump station unit based on the pump station unit state data;
establishing a data acquisition platform, inputting set boundary conditions into the solid-liquid two-flow calculation model, obtaining a simulated wear loss analysis result, and performing wear analysis based on the simulated wear loss analysis result;
and acquiring external characteristic data based on the simulation abrasion loss analysis result, comparing the external characteristic data with the pump station unit state data, and adjusting and correcting in real time based on the comparison result.
8. The method for predicting the wear and the service life of the hydraulic component of the pump station unit based on the digital twin of the pump station unit according to claim 1, wherein the process of predicting the service life of the hydraulic component of the pump station unit based on the digital twin model of the hydraulic component of the pump station unit comprises the following steps:
on the basis of the pump station unit hydraulic component digital twin model, predicting the wear trend and the wear loss of the hydraulic component according to the historical performance parameters indirectly reflecting the wear degree, and constructing a hydraulic component wear process degradation model;
and acquiring a life prediction result based on the hydraulic component wear process degradation model.
9. The method for predicting the abrasion and the service life of the hydraulic component of the pump station unit based on the digital twinning as claimed in claim 8, wherein the historical performance parameters indirectly reflecting the abrasion degree comprise the operation efficiency of the pump station unit, the inlet and outlet pressure of the pump station unit, the motor power of the pump station unit and the rotating speed of the pump station unit.
10. The method for predicting the abrasion and the service life of the hydraulic component of the pump station unit based on the digital twin according to claim 8, wherein in the process of constructing the degradation model of the abrasion process of the hydraulic component, a target quantity is the operation efficiency of the pump station unit, independent variables are inlet and outlet pressure, motor power and rotating speed, and the abrasion quantity through simulation analysis represents a change process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211287864.7A CN115470682B (en) | 2022-10-20 | 2022-10-20 | Digital twinning-based pump station unit hydraulic component abrasion and service life prediction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211287864.7A CN115470682B (en) | 2022-10-20 | 2022-10-20 | Digital twinning-based pump station unit hydraulic component abrasion and service life prediction method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115470682A true CN115470682A (en) | 2022-12-13 |
| CN115470682B CN115470682B (en) | 2023-05-05 |
Family
ID=84337306
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211287864.7A Active CN115470682B (en) | 2022-10-20 | 2022-10-20 | Digital twinning-based pump station unit hydraulic component abrasion and service life prediction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115470682B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298701A (en) * | 2023-05-22 | 2023-06-23 | 广东电网有限责任公司江门供电局 | Power distribution network fault detection method and related device based on digital twin system |
| CN117094564A (en) * | 2023-10-18 | 2023-11-21 | 山东朝启电子科技有限公司 | Intelligent pump station management system based on digital twinning |
| CN117829380A (en) * | 2024-03-05 | 2024-04-05 | 国网山东省电力公司信息通信公司 | Method, system, equipment and medium for long-term prediction of power use |
| CN117829380B (en) * | 2024-03-05 | 2024-05-28 | 国网山东省电力公司信息通信公司 | Method, system, equipment and medium for long-term prediction of power use |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106640035A (en) * | 2016-12-19 | 2017-05-10 | 四川宏华电气有限责任公司 | VFD control system and method for automatic optimization of drilling parameters |
| CN114154360A (en) * | 2021-10-19 | 2022-03-08 | 徐州圣邦机械有限公司 | Multi-physical-field probability digital twin modeling method for high-pressure internal gear pump |
| CN114357863A (en) * | 2021-12-13 | 2022-04-15 | 中国航发北京航科发动机控制系统科技有限公司 | Mechanical hydraulic product service life prediction method based on particle filtering |
| CN114912371A (en) * | 2022-06-13 | 2022-08-16 | 江苏大学 | Digital twin body modeling system and method for running stability detection of tubular pump |
-
2022
- 2022-10-20 CN CN202211287864.7A patent/CN115470682B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106640035A (en) * | 2016-12-19 | 2017-05-10 | 四川宏华电气有限责任公司 | VFD control system and method for automatic optimization of drilling parameters |
| CN114154360A (en) * | 2021-10-19 | 2022-03-08 | 徐州圣邦机械有限公司 | Multi-physical-field probability digital twin modeling method for high-pressure internal gear pump |
| CN114357863A (en) * | 2021-12-13 | 2022-04-15 | 中国航发北京航科发动机控制系统科技有限公司 | Mechanical hydraulic product service life prediction method based on particle filtering |
| CN114912371A (en) * | 2022-06-13 | 2022-08-16 | 江苏大学 | Digital twin body modeling system and method for running stability detection of tubular pump |
Non-Patent Citations (3)
| Title |
|---|
| 张可可: "多级泵内方形颗粒固液两相流试验与数值模拟研究" * |
| 曹卫东; 张忆宁; 姚凌钧: "多级离心泵内部固液两相流动及磨损特性", 《排灌机械工程学报》 * |
| 陶艺; 袁寿其; 张金凤; 张帆; 陶建平: "渣浆泵叶轮磨损的数值模拟及试验", 《农业工程学报》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298701A (en) * | 2023-05-22 | 2023-06-23 | 广东电网有限责任公司江门供电局 | Power distribution network fault detection method and related device based on digital twin system |
| CN116298701B (en) * | 2023-05-22 | 2023-07-21 | 广东电网有限责任公司江门供电局 | Power distribution network fault detection method and related device based on digital twin system |
| CN117094564A (en) * | 2023-10-18 | 2023-11-21 | 山东朝启电子科技有限公司 | Intelligent pump station management system based on digital twinning |
| CN117094564B (en) * | 2023-10-18 | 2024-02-02 | 山东朝启电子科技有限公司 | Intelligent pump station management system based on digital twinning |
| CN117829380A (en) * | 2024-03-05 | 2024-04-05 | 国网山东省电力公司信息通信公司 | Method, system, equipment and medium for long-term prediction of power use |
| CN117829380B (en) * | 2024-03-05 | 2024-05-28 | 国网山东省电力公司信息通信公司 | Method, system, equipment and medium for long-term prediction of power use |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115470682B (en) | 2023-05-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115470682A (en) | Pump station unit hydraulic component wear and service life prediction method based on digital twinning | |
| CN112417619B (en) | Pump unit optimal operation adjusting system and method based on digital twinning | |
| CN108894282B (en) | Municipal pipe network operation safety dynamic early warning method | |
| CN1312629C (en) | Modeling method of uncertain hydraulics model for urban seweage and drainage system | |
| Labadie | Optimal operation of multireservoir systems: State-of-the-art review | |
| Beneš et al. | Hydraulic erosion | |
| CN102141084B (en) | Numerical simulation method for temperature and thickness relation of static thrust bearing gap oil film based on film thickness variation | |
| CN113222351B (en) | Urban emergency water supply fine scheduling method based on water evolution change | |
| CN108491664A (en) | A kind of Distributed Hydrological forecasting model paradigmatic system | |
| CN111199298A (en) | Flood forecasting method and system based on neural network | |
| CN114996329A (en) | Water conservancy monitoring and disaster deduction method based on digital twin | |
| CN106929615B (en) | A kind of control method of blast furnace crucibe numerical simulation and resolution system | |
| CN117454492A (en) | Electromechanical construction method and system based on BIM technology | |
| CN105631135B (en) | Based on ABAQUS excavation of foundation pit rapid modeling analysis system and its application method | |
| Shao et al. | Integrating the finite element method with a data-driven approach for dam displacement prediction | |
| CN114254572A (en) | Aero-engine compressor flow field performance prediction method and system considering pollutant deposition | |
| Kakimpa et al. | The numerical simulation of multi-scale oil films using coupled VOF and Eulerian thin-film models | |
| Wen et al. | Predicting the crest settlement of concrete face rockfill dams by combining threshold regression and support vector machine | |
| CN113609734A (en) | Visualization method for thickness of simulated oil film of sliding bearing water turbine | |
| Hu et al. | Construction phase oriented dynamic simulation: taking RCC dam placement process as an example | |
| CN107038295A (en) | A kind of hydraulic ram inner flow passage is evaluated and optimization method | |
| Nasyrova et al. | Operation of the Cascade of Pumping Stations of the Karshi Main Canal | |
| CN113988429A (en) | Method and system for developing, customizing and optimizing wind power plant | |
| Mahmoud et al. | Hybrid meta-heuristic adaptive fuzzy inference systems in rockfill dam multi-objective shape optimization | |
| CN109992841A (en) | A kind of blast fragmentation size space omnidirectional subarea management numerical value emulation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |