CN116796610A - Digital twin system construction and hydro-generator evaluation method, device and medium - Google Patents
Digital twin system construction and hydro-generator evaluation method, device and medium Download PDFInfo
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Abstract
The invention relates to the technical field of digital twin, in particular to a digital twin system construction method, a hydraulic generator evaluation device and a medium, and aims to solve the technical problem of how to construct a high-efficiency hydraulic generator temperature field digital twin system. For this purpose, a digital twin system construction method of the present invention includes: the method comprises the steps of obtaining geometric parameters of a hydraulic generator, obtaining a digital twin body of the hydraulic generator according to the geometric parameters of the hydraulic generator, constructing a data sensing monitoring subsystem of the hydraulic generator based on a data module, constructing a data processing subsystem of the hydraulic generator based on various parameter information, constructing a visualization subsystem of the hydraulic generator based on the digital twin body, and constructing a digital twin system of a hydraulic generator temperature field according to the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the visualization subsystem. Through the configuration mode, the digital twin system of the temperature field of the hydraulic generator can be constructed efficiently.
Description
Technical Field
The invention relates to the technical field of digital twin, and particularly provides a digital twin system construction method, a hydraulic generator evaluation device and a medium.
Background
The hydraulic generator is core equipment of a hydropower station, wherein the hydraulic generator ventilation and heat dissipation calculation is one of the main contents of the design of the hydraulic generator, the service life and the operation reliability of the motor are directly affected, and once the hydraulic generator fails, huge economic loss is usually caused, even safety accidents are caused, and the life safety of personnel is endangered. The development of numerical calculation methods and computer technologies enables calculation of various fields in a motor to be possible, the traditional analysis method for simplifying mathematical models and the analysis method for solving flow fields and temperature fields in an isolated mode are converted to a multi-field coupling analysis method, and meanwhile, the real-time feedback of simulation data to the state of the hydraulic generator can be realized by combining a digital twin technology.
In recent years, along with the general application of numerical calculation methods and the development of digital twin technologies, various applications have been developed on hydraulic generators, but a complete, efficient and accurate set of temperature field digital twin system construction methods considering the thermal-flow multi-field coupling effect of hydraulic generators are still lacking, and particularly, the efficient and accurate digital twin generation technologies under the multi-field coupling condition are not perfect.
Accordingly, there is a need in the art for a new digital twin system construction, hydro-generator evaluation scheme to address the above-described problems.
Disclosure of Invention
The present invention has been made to overcome the above drawbacks, and it is an object of the present invention to provide a digital twin system which solves or at least partially solves the technical problem of how to construct an efficient temperature field of a hydro-generator.
In a first aspect, the present invention provides a method of constructing a digital twin system, the method comprising:
obtaining geometrical parameters of a hydraulic generator, and obtaining a digital twin body of the hydraulic generator according to the geometrical parameters of the hydraulic generator;
the data sensing and monitoring subsystem of the hydraulic generator is constructed based on a data module, wherein the data module is used for receiving and transmitting various parameter information, and the various parameter information is acquired by arranging various sensors at a plurality of preset positions of the hydraulic generator;
constructing a data processing subsystem of the hydraulic generator based on the plurality of parameter information;
constructing a visualization subsystem of the hydro-generator based on the digital twins;
and constructing a digital twin system of the temperature field of the hydraulic generator according to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem.
In one technical scheme of the above digital twin system construction method, the obtaining the digital twin body of the hydraulic generator according to the geometric parameters of the hydraulic generator includes:
establishing a three-dimensional model of the hydraulic generator according to the geometric parameters of the hydraulic generator;
according to the material of the hydro-generator, endowing the material attribute corresponding to the material to the three-dimensional model to obtain a finite element geometric model of the motor;
establishing a heat-flow multi-field coupling finite element model of the hydraulic generator through finite element modeling simulation software based on the operation working condition, the environment condition and the motor finite element geometric model of the hydraulic generator;
and carrying out parameterized scanning on the thermal-flow multi-field coupling finite element model to obtain a data set, and obtaining the digital twin body according to the data set.
In one technical scheme of the above digital twin system construction method, the building of the thermal-flow multi-field coupling finite element model of the hydraulic generator by finite element modeling simulation software based on the operation working condition, the environmental condition and the motor finite element geometric model of the hydraulic generator comprises the following steps:
mesh subdivision is carried out on the motor finite element geometric model, and a motor finite element geometric model after subdivision is obtained;
setting the split motor finite element geometric model based on the operation working condition and the environmental condition to obtain a set motor finite element geometric model;
and performing thermal-flow coupling setting on the set motor finite element geometric model through finite element modeling simulation software to obtain the thermal-flow multi-field coupling finite element model.
In one aspect of the above digital twin system construction method, the obtaining the digital twin body according to the data set includes:
constructing a black box model based on a machine learning technology method and an LTI ROM data fitting method;
and training the black box model according to the data set to obtain the digital twin body.
In one technical scheme of the digital twin system construction method, the data module comprises a wireless transmission module and a data receiving function module;
the data sensing and monitoring subsystem for constructing the hydraulic generator based on the data module comprises the following components:
constructing the data sensing and detecting subsystem based on the data receiving functional module and the wireless transmission module;
the data receiving module is used for receiving the various parameter information, and the data transmission module is used for transmitting the received various parameter information to the digital twin body so that the digital twin body can obtain the temperature distribution result of the hydraulic generator.
In one technical scheme of the above digital twin system construction method, the constructing the data processing subsystem of the hydraulic generator based on the multiple parameter information includes:
carrying out data statistics on the multiple parameter information to obtain a data statistics result;
constructing the data processing subsystem based on the data statistics; and/or the number of the groups of groups,
the constructing a visualization subsystem of the hydro-generator based on the digital twins comprises:
and a post-processing module applying finite element modeling simulation software to construct the visualization subsystem based on the digital twin body.
In one technical scheme of the above digital twin system construction method, the constructing the digital twin system of the temperature field of the hydraulic generator according to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem includes:
respectively constructing data interfaces corresponding to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem;
and integrating the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the digital twin system visualization subsystem according to the corresponding data interfaces to obtain the digital twin system.
In a second aspect, the present invention provides a method of hydro-generator assessment, the method comprising:
the digital twin system obtained by the method for constructing the digital twin system according to any one of the preceding claims is used for evaluating the hydraulic generator, and an evaluation result is obtained.
In a third aspect, a control device is provided, the control device comprising at least one processor and at least one storage device, the storage device being adapted to store a plurality of program codes, the program codes being adapted to be loaded and run by the processor to perform the digital twin system construction method according to any one of the technical solutions of the digital twin system construction method described above.
In a fourth aspect, there is provided a computer readable storage medium having stored therein a plurality of program codes adapted to be loaded and executed by a processor to perform the digital twin system constructing method according to any one of the above-mentioned digital twin system constructing methods.
One or more of the above technical solutions of the present invention at least has one or more of the following
The beneficial effects are that:
in the technical scheme of implementing the invention, the digital twin body of the hydraulic generator is obtained according to the geometric parameters of the hydraulic generator, the data sensing monitoring subsystem of the hydraulic generator is constructed based on the data module, the data module is used for receiving and transmitting various parameter information, the various parameter information is acquired by arranging various sensors at a plurality of preset positions of the hydraulic generator, the data processing subsystem of the hydraulic generator is constructed based on the various parameter information, the visualization subsystem of the hydraulic generator is constructed based on the digital twin body, and the digital twin system of the hydraulic generator temperature field is constructed according to the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the visualization subsystem. Through the configuration mode, the data sensing monitoring subsystem transmits various parameter information of the hydraulic generator to the digital twin body of the hydraulic generator in real time, the data processing subsystem performs data statistics of the various parameter information to obtain a more accurate digital twin body, the visualization subsystem is used for realizing visualization of the digital twin body so as to observe the real-time state of the hydraulic generator, and the digital twin body is constructed according to the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the visualization subsystem together, so that the temperature field state of the hydraulic generator can be monitored more effectively in real time.
Drawings
The present disclosure will become more readily understood with reference to the accompanying drawings. As will be readily appreciated by those skilled in the art: the drawings are for illustrative purposes only and are not intended to limit the scope of the present invention. Moreover, like numerals in the figures are used to designate like parts, wherein:
FIG. 1 is a flow chart of the main steps of a digital twin system building method according to an embodiment of the present invention;
FIG. 2 is a schematic flow diagram of the main steps of a method of constructing a digital twin system according to an implementation of an embodiment of the present invention;
fig. 3 is a schematic flow chart of main steps of a hydraulic generator evaluation method according to an embodiment of the present invention.
Detailed Description
Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
In the description of the present invention, a "module," "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, or software components, such as program code, or a combination of software and hardware. The processor may be a central processor, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and/or signal processing functions. The processor may be implemented in software, hardware, or a combination of both. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, and the like. The term "a and/or B" means all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" has a meaning similar to "A and/or B" and may include A alone, B alone or A and B. The singular forms "a", "an" and "the" include plural referents.
Referring to fig. 1, fig. 1 is a schematic flow chart of main steps of a digital twin system constructing method according to an embodiment of the present invention. As shown in fig. 1, the method for constructing a digital twin system according to the embodiment of the present invention mainly includes the following steps S101 to S105.
Step S101: and obtaining the geometric parameters of the hydraulic generator, and obtaining the digital twin body of the hydraulic generator according to the geometric parameters of the hydraulic generator.
In this embodiment, a three-dimensional model is established according to the geometric parameters of the hydraulic generator, and a digital twin body of the hydraulic generator is obtained according to the three-dimensional model.
In one embodiment, the geometric parameters of the hydro-generator may include the diameter of the hydro-generator stator and the diameter of the hydro-generator rotor.
In one embodiment, the three-dimensional model may be created by a CAD drawing tool based on geometric parameters of the hydro-generator.
In one implementation of the embodiment of the present invention, step S101 may include steps S1011 to S1014:
step S1011: and establishing a three-dimensional model of the hydraulic generator according to the geometric parameters of the hydraulic generator.
Step S1012: and according to the material of the hydro-generator, endowing the material attribute corresponding to the material to a three-dimensional model, and obtaining the finite element geometric model of the motor.
Step S1013: and establishing a thermal-flow multi-field coupling finite element model of the hydraulic generator through finite element modeling simulation software based on the operation working condition, the environment condition and the motor finite element geometric model of the hydraulic generator.
Step S1014: and carrying out parameterized scanning on the thermal-flow multi-field coupling finite element model to obtain a data set, and obtaining a digital twin body according to the data set.
In this embodiment, a three-dimensional model of the hydro-generator is established according to geometric parameters of the hydro-generator, and material properties corresponding to the materials are given to the three-dimensional model according to the materials of the hydro-generator, so as to obtain a finite element geometric model of the motor. And establishing a thermal-flow multi-field coupling finite element model of the hydraulic generator through finite element modeling simulation software by using the operation working condition, the environment condition and the motor finite element geometric model of the hydraulic generator. And carrying out parameterization scanning on the operation working conditions, the environmental conditions and the dimensional parameters of the motor finite element geometric model of the hydro-generator in the thermal-flow multi-field coupling finite element model to obtain a data set of the hydro-generator, and obtaining a digital twin body according to the data set. The parameterized scanning is a function of the CAE software tool, and more accurate data sets can be obtained by performing parameterized scanning on the thermal-flow multi-field coupling finite element model.
In one embodiment, the material of the hydro-generator may be the material of the wire, the material of the stator, the material of the shaft, the material of the coolant, etc.
In one embodiment, the material property may be silicon steel, copper, aluminum, tin, silver, and the like, which are materials practically used in hydraulic generators.
In one embodiment, step S1013 may include steps S10131 to S10133:
step S10131: and performing grid subdivision on the motor finite element geometric model to obtain a subdivided motor finite element geometric model.
Step S10132: setting the split motor finite element geometric model based on the operation working condition and the environmental condition to obtain a motor finite element geometric model with the set motor finite element geometric model;
step S10133: and performing heat-flow coupling setting on the set motor finite element geometric model through finite element modeling simulation software to obtain a heat-flow multi-field coupling finite element model.
In the embodiment, mesh subdivision is performed on the motor finite element geometric model, and a subdivided motor finite element geometric model is obtained. And the split motor finite element geometric model is provided with a plurality of grids, and the grids on the split motor finite element geometric model are correspondingly set according to the operation working conditions and the environment conditions to obtain the set motor finite element geometric model. And performing heat-flow coupling setting on the set motor finite element geometric model through finite element modeling simulation software to obtain a heat-flow multi-field coupling finite element model. The thermal-flow coupling arrangement is used for simulating the working scene of the hydraulic generator.
In one embodiment, mesh subdivision is performed on the motor finite element geometric model, mesh encryption can be achieved through edge control of an air gap of the motor finite element geometric model of the hydraulic generator, the maximum mesh size of a stator of the motor finite element geometric model of the hydraulic generator is set to be 1/20 of the outer diameter of the hydraulic generator, the maximum mesh size of a rotor of the motor finite element geometric model of the hydraulic generator is set to be 1/15 of the outer diameter of the hydraulic generator, and subdivision is performed through a free subdivision method in a CAE software tool.
In one embodiment, the operating conditions may be a rated speed power generation condition, a low speed power generation condition, and a high speed power generation condition when the hydro-generator is operating.
In one embodiment, the environmental conditions may include generator operating ambient temperature and wind speed flow.
In one embodiment, the thermal-flow coupling arrangement may set the finite element geometric model of the motor according to the actual conditions of the hydro-generator, such as the cooling fluid of the hydro-generator (fluid domain), the coupling interface of the hydro-generator components (solid domain), and the air surrounding the hydro-generator.
In one embodiment, step S1014 may include steps S10141 to S10142:
step S10141: and constructing a black box model based on a machine learning technology method and an LTI ROM data fitting method.
Step S10142: training the black box model according to the data set to obtain the digital twin body.
In this embodiment, a black box model is constructed by performing data fitting on a data set by a machine learning technique method and an LTI ROM (linear time invariant system reduced order model) data fitting method, and then training the black box model according to the data set to obtain a digital twin body.
In one embodiment, the black box model may be constructed by a machine learning technique method and an LTI ROM (linear time invariant system reduced order model) data fitting method together. Firstly, building an input layer of a black box model based on a CNN convolutional neural network architecture (one of machine learning technical methods); then building a convolution layer of the black box model, building a pooling layer of the black box model, and adopting maximum pooling to realize the reduction of the space size of the data body by inserting the pooling layer in continuous convolution; and finally, forming an output layer of the black box model, and realizing accurate fitting of output data by combining LTI ROM data fitting.
In one embodiment, the data set may include a training data set and a test data set, the black box model may be trained according to the training data set to obtain a trained digital twin body, the digital twin body is essentially a reduced order model, the trained digital twin body is evaluated according to the test data set, and when the result of the evaluation does not reach the preset precision, training is continued on the trained digital twin body until the preset precision is reached, and training is ended to obtain the digital twin body. The process of training the black box model may include data normalization, algorithm optimization, and super parameter optimization. The preset precision can be set by a person skilled in the art in a self-defined manner according to the actual situation.
Step S102: the data sensing monitoring subsystem of the hydraulic generator is constructed based on a data module, the data module is used for receiving and transmitting various parameter information, and the various parameter information is acquired by arranging various sensors at a plurality of preset positions of the hydraulic generator.
In this embodiment, a plurality of sensors are arranged at a plurality of preset positions of the hydro-generator to collect a plurality of parameter information, and the plurality of parameter information is received and transmitted through a data module.
In one embodiment, the plurality of sensors may include a temperature sensor and a rotational speed sensor.
In one embodiment, the plurality of parameter information may include current parameter information, temperature parameter information, and rotational speed parameter information.
In one embodiment, the data module includes a wireless transmission module and a data receiving function module, and step S102 may be further configured to:
constructing a data sensing detection subsystem based on the data receiving function module and the wireless transmission module;
the data receiving module is used for receiving various parameter information, and the data transmission module is used for transmitting the received various parameter information to the digital twin body so that the digital twin body can obtain the temperature distribution result of the hydraulic generator.
In this embodiment, the data sensing and detecting subsystem may be constructed based on the data receiving function module and the wireless transmission module.
In one embodiment, the wireless transmission module may be a 5G wireless transmission module to ensure efficiency and stability of transmission. And the 5G communication protocol is adopted as a data transmission protocol, data acquired by the data sensor are encoded, and the data transmission is realized by using a 5G wireless signal, so that the packet loss rate of the data is reduced.
Step S103: and constructing a data processing subsystem of the hydraulic generator based on the various parameter information.
In this embodiment, a data processing subsystem of the hydraulic generator is constructed based on various parameter information, and the data processing subsystem can count various parameter information.
In one embodiment, the data processing subsystem being capable of counting a plurality of parameter information may include counting a plurality of parameter information for a plurality of parameter information maxima, minima, averages, variances.
In one implementation of the embodiment of the present invention, step S103 may include steps S1031 to S1032:
step S1031: and carrying out data statistics on the multiple parameter information to obtain a data statistics result.
Step S1032: and constructing a data processing subsystem based on the data statistics.
In this embodiment, the data processing subsystem is built based on the data statistics.
In one embodiment, the data processing subsystem may process various parameter information collected by the data sensing monitoring subsystem, perform data statistics such as maximum value, minimum value, average value, variance, and the like, and detect an abnormal value of the data based on the data statistics result, if the data maximum value is greater than 10 times of the average value, determine the abnormal value, reject the abnormal value at this time, and implement replacement of abnormal value data by using a three-time data interpolation fitting method, so as to ensure that a more accurate data statistics result can be obtained.
Step S104: a visualization subsystem of the hydro-generator is constructed based on the digital twins.
In this embodiment, a visualization subsystem of the hydro-generator is built based on the digital twin, and the visualization subsystem is capable of implementing visualization of the digital twin.
In one embodiment, the visualization subsystem of the hydro-generator may be constructed by digital twins and finite element modeling simulation software.
In one embodiment, step S104 may be further configured to:
and a post-processing module applying finite element modeling simulation software, and constructing a visualization subsystem based on the digital twin body.
In this embodiment, the post-processing module that inputs the digital twin to the finite element modeling simulation software may implement visualization of the digital twin.
In one embodiment, the visualization subsystem can realize the function of on-line display of the visualized post-processing of the data results, display and view of cloud patterns, contour lines, slices, curves and other forms of the digital twin thermal-flow multi-field calculation results, and detailed view of the evaluation results of all parts of the hydraulic generator can be realized through operations such as translation, rotation, scaling and the like.
Step S105: and constructing a digital twin system of the temperature field of the hydraulic generator according to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem.
In this embodiment, a digital twin system of the hydro-generator temperature field is constructed from a digital twin body, a data sensing and monitoring subsystem, a data processing subsystem, and a visualization subsystem.
In one embodiment, the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem can be integrated through interfaces by a data interface, so that a digital twin system of the temperature field of the hydraulic generator is constructed.
In one implementation of the embodiment of the present invention, step S105 may include steps S1051 to S1052:
step S1051: and respectively constructing data interfaces corresponding to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem.
Step S1052: and integrating the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the digital twin system visualization subsystem according to the corresponding data interfaces to obtain the digital twin system.
In this embodiment, the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the data interfaces corresponding to the visualization subsystem are respectively constructed, and the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the digital twin system visualization subsystem are integrated according to the corresponding data interfaces to obtain the digital twin system.
In one embodiment, the data interface of the digital twin body can be respectively in butt joint with the data interface of the data sensing monitoring subsystem, the data interface of the data processing subsystem and the data interface of the visualization subsystem to obtain the digital twin system.
Based on the steps S101-S105, the digital twin body of the hydraulic generator is obtained according to the geometric parameters of the hydraulic generator, the data sensing monitoring subsystem of the hydraulic generator is built based on the data module, the data module is used for receiving and transmitting various parameter information, the various parameter information is collected through arranging various sensors at a plurality of preset positions of the hydraulic generator, the data processing subsystem of the hydraulic generator is built based on the various parameter information, the visualization subsystem of the hydraulic generator is built based on the digital twin body, and the digital twin system of the hydraulic generator temperature field is built according to the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the visualization subsystem. Through the configuration mode, the data sensing monitoring subsystem transmits various parameter information of the hydraulic generator to the digital twin body of the hydraulic generator in real time, the data processing subsystem performs data statistics of the various parameter information to obtain a more accurate digital twin body, the visualization subsystem is used for realizing visualization of the digital twin body so as to observe the real-time state of the hydraulic generator, and the digital twin body is constructed according to the digital twin body, the data sensing monitoring subsystem, the data processing subsystem and the visualization subsystem together, so that the temperature field state of the hydraulic generator can be monitored more effectively in real time.
In one implementation of the embodiment of the present invention, reference may be made to fig. 2, and fig. 2 is a schematic flow chart of main steps of a method for constructing a digital twin system according to one implementation of the embodiment of the present invention, as shown in fig. 2, a digital twin system may be constructed according to the following steps S201 to S206.
Step S201: and establishing a three-dimensional model according to geometric parameters of the hydraulic generator, and establishing a thermal-flow multi-field coupling finite element model of the hydraulic generator through general finite element modeling simulation software, actual operation working conditions of the hydraulic generator and surrounding environment conditions to obtain a high-precision temperature field distribution result of the hydraulic generator.
Step S202: and carrying out multi-working condition and multi-parameter parameterized scanning according to the thermal-flow multi-field coupling finite element model to obtain a high-precision simulation result training dataset, carrying out model training on the training dataset by fusing two data fitting methods of machine learning and LTIROM, and finally obtaining the high-precision digital twin body of the hydraulic generator.
In this embodiment, the methods described in step S201 and step S202 are similar to those described in step S101, and are not described in detail here for simplicity.
Step S203: and constructing a data sensing and monitoring subsystem of the hydraulic generator, arranging a temperature sensor, a rotating speed sensor and the like in a preset area, and adopting a 5G module to realize wireless transmission of sensing data.
In this embodiment, the method of step S203 is similar to the method of step S102, and is not described here again for simplicity.
Step S204: the method comprises the steps of constructing a data processing subsystem, programming and realizing the function modules of monitoring the maximum value, the minimum value, the average value, the variance, the abnormal value detection, the abnormal value replacement and the like of data in real time based on a basic statistical method, wherein the function modules mainly comprise data statistics, abnormal value detection and the like.
In this embodiment, the method described in step S204 is similar to the method described in step S103, and for simplicity of description, the description is omitted here.
Step S205: the method comprises the steps of constructing a visualization subsystem, and converting a data format of a digital twin body calculation result data format into a data format suitable for the finite element modeling simulation post-processing module according to a general finite element modeling simulation post-processing module, so that the visualization display of the real-time state evaluation and prediction result of the digital twin body of the hydraulic generator is realized, and the visualization display mainly comprises three-dimensional geometric display, result cloud image display, result contour line display, result slice image display, result curve display, result early warning and the like.
In this embodiment, the method described in step S205 is similar to the method described in step S104, and for simplicity of description, the description is omitted here.
Step S206: the hydraulic generator digital twin system is constructed, an online platform of the hydraulic generator temperature field digital twin system is designed and developed based on a general finite element modeling simulation tool, the platform architecture design, the interface style design, the operation logic design and the like are covered, the platform interface, the management application function and the data interaction interface of the digital twin body and each subsystem are developed, and finally the integrated development of the digital twin body and each subsystem on the system platform is realized.
In this embodiment, the method described in step S206 is similar to the method described in step S105, and for simplicity of description, the description is omitted here.
Referring to fig. 3, fig. 3 is a schematic flow chart of main steps of a hydraulic generator evaluation method according to an embodiment of the present invention. As shown in fig. 3, the hydraulic generator evaluation method in the embodiment of the present invention mainly includes the following step S301.
Step S301: according to the digital twin system obtained by the digital twin system construction method of the method embodiment, the hydraulic generator is evaluated, and an evaluation result is obtained.
It should be noted that, although the foregoing embodiments describe the steps in a specific order, it will be understood by those skilled in the art that, in order to achieve the effects of the present invention, the steps are not necessarily performed in such an order, and may be performed simultaneously (in parallel) or in other orders, and these variations are within the scope of the present invention.
It will be appreciated by those skilled in the art that the present invention may implement all or part of the above-described methods according to the above-described embodiments, or may be implemented by means of a computer program for instructing relevant hardware, where the computer program may be stored in a computer readable storage medium, and where the computer program may implement the steps of the above-described embodiments of the method when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable storage medium may include: any entity or device, medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunications signals, software distribution media, and the like capable of carrying the computer program code. It should be noted that the computer readable storage medium may include content that is subject to appropriate increases and decreases as required by jurisdictions and by jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunications signals.
Further, the invention also provides a control device. In one control device embodiment according to the present invention, the control device includes a processor and a storage device, the storage device may be configured to store a program for executing the digital twin system constructing method of the above-described method embodiment, and the processor may be configured to execute the program in the storage device, including, but not limited to, the program for executing the digital twin system constructing method of the above-described method embodiment. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The control device may be a control device formed of various electronic devices.
The control device in the embodiment of the invention can be a control device formed by various electronic devices. In some possible embodiments, the control device may include a plurality of memory devices and a plurality of processors. And the program for executing the digital twin system constructing method of the above method embodiment may be divided into a plurality of sub-programs, each of which may be loaded and executed by a processor to execute different steps of the digital twin system constructing method of the above method embodiment, respectively. Specifically, each of the subroutines may be respectively stored in different storage devices, and each of the processors may be configured to execute the programs in one or more storage devices to collectively implement the digital twin system construction method of the above method embodiment, that is, each of the processors executes respectively different steps of the digital twin system construction method of the above method embodiment to collectively implement the digital twin system construction method of the above method embodiment.
Further, the invention also provides a control device. In one control device embodiment according to the present invention, the control device includes a processor and a storage device, the storage device may be configured to store a program for executing the hydro-generator evaluation method of the above-described method embodiment, and the processor may be configured to execute the program in the storage device, including, but not limited to, the program for executing the hydro-generator evaluation method of the above-described method embodiment. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The control device may be a control device formed of various electronic devices.
The control device in the embodiment of the invention can be a control device formed by various electronic devices. In some possible embodiments, the control device may include a plurality of memory devices and a plurality of processors. The program for executing the hydraulic generator evaluation method of the above method embodiment may be divided into a plurality of sub-programs, and each sub-program may be loaded and executed by the processor to execute the different steps of the hydraulic generator evaluation method of the above method embodiment. Specifically, each of the subroutines may be stored in a different storage device, respectively, and each of the processors may be configured to execute the programs in one or more storage devices to collectively implement the hydro-generator evaluation method of the above method embodiment, that is, each of the processors executes different steps of the hydro-generator evaluation method of the above method embodiment, respectively, to collectively implement the hydro-generator evaluation method of the above method embodiment.
The plurality of processors may be processors disposed on the same device, and for example, the control means may be a high-performance device composed of a plurality of processors, and the plurality of processors may be processors disposed on the high-performance device. In addition, the plurality of processors may be processors disposed on different devices, for example, the control apparatus may be a server cluster, and the plurality of processors may be processors on different servers in the server cluster.
Further, the invention also provides a computer readable storage medium. In one embodiment of a computer readable storage medium according to the present invention, the computer readable storage medium may be configured to store a program for performing the digital twin system constructing method of the above-described method embodiment, which may be loaded and executed by a processor to implement the digital twin system constructing method described above. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The computer readable storage medium may be a storage device including various electronic devices, and optionally, the computer readable storage medium in the embodiments of the present invention is a non-transitory computer readable storage medium.
Further, the invention also provides a computer readable storage medium. In one computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium may be configured to store a program for performing the hydro-generator evaluation method of the above-described method embodiment, which program may be loaded and executed by a processor to implement the hydro-generator evaluation method described above. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The computer readable storage medium may be a storage device including various electronic devices, and optionally, the computer readable storage medium in the embodiments of the present invention is a non-transitory computer readable storage medium.
Further, it should be understood that, since the respective modules are merely set to illustrate the functional units of the apparatus of the present invention, the physical devices corresponding to the modules may be the processor itself, or a part of software in the processor, a part of hardware, or a part of a combination of software and hardware. Accordingly, the number of individual modules in the figures is merely illustrative.
Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solution to deviate from the principle of the present invention, and therefore, the technical solution after splitting or combining falls within the protection scope of the present invention.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will fall within the scope of the present invention.
Claims (10)
1. A method of constructing a digital twin system, the method comprising:
obtaining geometrical parameters of a hydraulic generator, and obtaining a digital twin body of the hydraulic generator according to the geometrical parameters of the hydraulic generator;
the data sensing and monitoring subsystem of the hydraulic generator is constructed based on a data module, wherein the data module is used for receiving and transmitting various parameter information, and the various parameter information is acquired by arranging various sensors at a plurality of preset positions of the hydraulic generator;
constructing a data processing subsystem of the hydraulic generator based on the plurality of parameter information;
constructing a visualization subsystem of the hydro-generator based on the digital twins;
and constructing a digital twin system of the temperature field of the hydraulic generator according to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem.
2. The method of claim 1, wherein the obtaining the digital twin of the hydraulic generator based on the geometric parameters of the hydraulic generator comprises:
establishing a three-dimensional model of the hydraulic generator according to the geometric parameters of the hydraulic generator;
according to the material of the hydro-generator, endowing the material attribute corresponding to the material to the three-dimensional model to obtain a finite element geometric model of the motor;
establishing a heat-flow multi-field coupling finite element model of the hydraulic generator through finite element modeling simulation software based on the operation working condition, the environment condition and the motor finite element geometric model of the hydraulic generator;
and carrying out parameterized scanning on the thermal-flow multi-field coupling finite element model to obtain a data set, and obtaining the digital twin body according to the data set.
3. The method of claim 2, wherein the establishing the thermal-flow multi-field coupled finite element model of the hydro-generator by finite element modeling simulation software based on the operating conditions, environmental conditions, and the motor finite element geometric model of the hydro-generator comprises:
mesh subdivision is carried out on the motor finite element geometric model, and a motor finite element geometric model after subdivision is obtained;
setting the split motor finite element geometric model based on the operation working condition and the environmental condition to obtain a set motor finite element geometric model;
and performing thermal-flow coupling setting on the set motor finite element geometric model through finite element modeling simulation software to obtain the thermal-flow multi-field coupling finite element model.
4. The digital twin system construction method according to claim 2, wherein the obtaining the digital twin volume from the dataset comprises:
constructing a black box model based on a machine learning technology method and an LTIROM data fitting method;
and training the black box model according to the data set to obtain the digital twin body.
5. The digital twin system constructing method according to claim 1, wherein the data module includes a wireless transmission module and a data receiving function module;
the data sensing and monitoring subsystem for constructing the hydraulic generator based on the data module comprises the following components:
constructing the data sensing and detecting subsystem based on the data receiving functional module and the wireless transmission module;
the data receiving module is used for receiving the various parameter information, and the data transmission module is used for transmitting the received various parameter information to the digital twin body so that the digital twin body can obtain the temperature distribution result of the hydraulic generator.
6. The digital twin system constructing method according to claim 1, wherein the constructing the data processing subsystem of the hydro-generator based on the plurality of parameter information includes:
carrying out data statistics on the multiple parameter information to obtain a data statistics result;
constructing the data processing subsystem based on the data statistics; and/or the number of the groups of groups,
the constructing a visualization subsystem of the hydro-generator based on the digital twins comprises:
and a post-processing module applying finite element modeling simulation software to construct the visualization subsystem based on the digital twin body.
7. The digital twin system constructing method according to claim 1, wherein the constructing the digital twin system of the hydro-generator temperature field from the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem comprises:
respectively constructing data interfaces corresponding to the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the visualization subsystem;
and integrating the digital twin body, the data sensing and monitoring subsystem, the data processing subsystem and the digital twin system visualization subsystem according to the corresponding data interfaces to obtain the digital twin system.
8. A method of hydro-generator assessment, the method comprising:
the digital twin system obtained by using the digital twin system constructing method according to any one of claims 1 to 7, and the hydraulic generator is evaluated to obtain an evaluation result.
9. A control device comprising at least one processor and at least one memory device, the memory device being adapted to store a plurality of program codes, characterized in that the program codes are adapted to be loaded and executed by the processor to perform the digital twin system construction method of any one of claims 1 to 7 or the hydro-generator assessment method of claim 8.
10. A computer readable storage medium having stored therein a plurality of program codes, characterized in that the program codes are adapted to be loaded and executed by a processor to perform the digital twin system construction method of any one of claims 1 to 7 or the hydro-generator evaluation method of claim 8.
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