CN115758922A - Wind field digital twin system for construction of wind environment test field - Google Patents

Wind field digital twin system for construction of wind environment test field Download PDF

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Publication number
CN115758922A
CN115758922A CN202211328701.9A CN202211328701A CN115758922A CN 115758922 A CN115758922 A CN 115758922A CN 202211328701 A CN202211328701 A CN 202211328701A CN 115758922 A CN115758922 A CN 115758922A
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wind
fan
digital twin
field
parameters
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朱晗
陈倩茹
何斌
李峥嵘
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Tongji University
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Tongji University
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

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Abstract

The invention provides a wind field digital twin system for building a wind environment test field, which is provided with a wind environment building laboratory, an Internet of things platform and a wind field digital twin body. The invention realizes the interactive feedback of the real fan and the virtual fan, avoids the deviation of artificial regulation of the fan and practically realizes the real-time intelligent control of the fan.

Description

Wind field digital twin system for construction of wind environment test field
Technical Field
The invention belongs to the technical field of environmental simulation, and relates to a wind field digital twin system for building a wind environment test field.
Background
The complex environment simulation is an important component of independent intelligent unmanned system research and development and performance test represented by unmanned vehicles and unmanned planes. The construction of the environmental test field can finely sense a target unmanned system, collect multivariate data information and test the multivariate data information in multiple aspects, so that the reliability and safety when the target unmanned system is put into use formally are improved, and the method is an effective way for breaking through the bottleneck problems of interoperability, autonomy, training and the like in the prior art. And wind environments are one category of environments that need to be created.
The construction of the wind environment test field is the construction of the wind field aiming at the target space, and the wind field is unstable according to the requirements of unmanned system research and development and performance test. Some existing standardized or nonstandard fan devices can generate different wind speeds and perform stepless regulation, but due to the mechanical structure limitation of the fan (namely, the phenomenon of output hysteresis in the state of switching output wind speed or starting and stopping), the wind speed cannot be regulated in a large range within a short time step. In addition, a single fan cannot realize the construction of an unsteady wind field in a certain space, each fan needs to be responsible for one wind direction, and the state presentation form of the reference wind direction diagram is shown in fig. 1, so that the configuration of a fan array is needed. Therefore, the key problem of the construction of the wind environment test field is that on the premise of determining the configuration state of the fan array, how to determine the operation parameters of each fan in the array, namely the output wind speed, in real time is considered, and the accurate construction of the target unsteady wind field is realized.
And under the condition that the output parameters of the wind turbine and the state of the wind field at the last moment are known, because of the output hysteresis of the state of the wind turbine, the output parameters of the wind turbine for constructing the state of the target wind field at the next moment can be obtained only by means of trial and error in a real physical space, so that the cost for constructing a strategy of the wind field can be greatly increased, and if the time of the target unsteady wind field to be constructed is longer or the time step length for switching the state of the wind field is smaller, the method can not be realized even based on the method.
Disclosure of Invention
Because an unsteady wind environment test field for research and development of an autonomous intelligent unmanned system and performance test is a more advanced application scene, no technical scheme is currently available for solving the problem according to research and development. In order to solve the problem, the invention provides a wind field digital twin system for constructing a wind environment test field, and adopts the following technical scheme:
the invention provides a wind field digital twin system for building a wind environment test field, which is characterized by comprising the following components: building a laboratory in a wind environment; an Internet of things platform; and a wind field, a wind field digital twin; the wind environment construction laboratory is provided with a fan array comprising a corresponding number of fans according to wind direction and wind speed requirements, each fan is embedded with a sensor and used for acquiring fan parameters when the corresponding fan runs in real time and sending the fan parameters to an Internet of things platform, the Internet of things platform carries out data preprocessing on the fan parameters acquired by the wind environment construction laboratory and transmits the preprocessed fan parameters to a wind field digital twin body, the wind field digital twin body carries out modeling on the wind environment construction laboratory to generate a simulation model, the fan parameters read in real time from the Internet of things platform are applied to the simulation model to serve as the boundary condition of a fan inlet at the current moment, a preset time step is set to carry out unsteady numerical simulation analysis to obtain a simulation analysis result, time sequence parameters of a target space flow field serve as an optimization target, the fan parameters corresponding to the simulation analysis result are screened out and are sent to the Internet of things platform to be stored, the Internet of things platform takes the fan parameters received from the wind field digital twin body as laboratory data at the next moment, control parameters are generated to control the fan array of the wind environment construction laboratory, and the fan array of the wind environment construction laboratory is controlled according to the parameters of the wind field such that the wind environment construction laboratory is opened.
The wind field digital twin system for the wind environment test field construction can also have the technical characteristics that the data preprocessing comprises denoising and analyzing the fan parameters.
The wind field digital twin system for construction of the wind environment test field provided by the invention can also have the technical characteristics that the screening specifically comprises the following steps: comparing the simulation analysis result with the time sequence parameter of the target space flow field, taking the fan parameter corresponding to the simulation analysis result as the laboratory flow field data at the next moment once the simulation analysis result conforms to the time sequence parameter of the target space flow field, discarding the simulation analysis result once the simulation analysis result does not conform to the time sequence parameter of the target space flow field, and continuously simulating by modifying the boundary condition of the fan inlet by the wind field digital twin body until the simulation analysis result matched with the time sequence parameter of the target space flow field is obtained in a circulating manner.
The wind field digital twin system for construction of the wind environment test field provided by the invention can also have the technical characteristics that the wind field digital twin system reads the fan parameters and modifies the boundary conditions of the fan inlet by adopting an ANSYS parameterized design language APDL.
The invention provides a wind field digital twin system for building a wind environment test field, which can also have the technical characteristics that the modeling process of a simulation model is as follows: the wind field digital twin firstly adopts ANSYSICEM to model a laboratory provided with a fan array to obtain a geometric model, then introduces the geometric model into ANSYSYSCFLUENT to construct a CFD numerical model, and uses a dynamic ROM technology to make the laboratory into a reduced-order model to perform system simulation to obtain a simulation model, so that real-time simulation is realized.
Action and effects of the invention
According to the wind field digital twin system for wind environment test field construction, the wind field digital twin system is provided with three modules of a wind environment construction laboratory, an Internet of things platform and a wind field digital twin body, under the premise that the configuration state of a fan array is determined based on the wind environment construction laboratory, the phenomenon of fan state output hysteresis is considered, the running state of a fan and the state of the wind field are mapped to a digital space through the wind field digital twin body, unsteady state numerical simulation is carried out based on the simulated digital twin body, the boundary condition of the inlet of the fan is continuously simulated by means of computing power until circulation obtains an optimal solution, the optimal solution is transmitted to the Internet of things platform, the Internet of things platform determines and controls the output wind speed of each fan in the array of the wind environment construction laboratory in real time according to the parameters of the optimal solution, accurate construction aiming at a target unsteady state wind field is realized, and finally fan parameters of a target space flow field at the next moment can be accurately constructed through circulation iteration optimization.
Drawings
FIG. 1 is a schematic view of a fan array;
FIG. 2 is a schematic structural diagram of a wind field digital twin system for constructing a wind environment test field according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of the construction of the wind environment test field based on the wind field digital twin system in the embodiment of the present invention.
Detailed Description
The technical problem to be solved by the invention is as above, namely, on the premise of determining the configuration state of the fan array, the output hysteresis phenomenon of the fan state is considered, how to determine the output wind speed of each fan in the array in real time, and the accurate construction of the target unsteady wind field is realized.
Specifically, according to the development and test requirements of an unmanned system, firstly, a required wind field database is provided, and the required wind field database comprises the wind speed and the wind direction which need to be created in a target space at each moment; according to the wind direction requirement, configuring a fan array comprising a corresponding number of fans; and the construction of the required wind field presented by the wind field database is realized in the target space through the fan array by using a certain method. However, due to the problem of output hysteresis of the state of the wind turbine (for example, the output is adjusted from 10m/s to 2m/s in a short time), if the construction of different wind speeds and wind directions is to be realized in a time sequence, the output parameters of some wind turbines in the array need to be adjusted at the same time, and the determination of the output parameters of the array is related to the change requirement of the wind field before and after the moment. Therefore, a certain method is needed to realize specific output parameters of the fan array at each moment.
The technical terms involved in the present invention are explained as follows:
wind environment test field: and constructing an unsteady wind field for unmanned system research and development and performance test in a target space.
Wind field digital twins: and mapping the unsteady wind field to be created to a digital space based on a simulation engine, and calculating to obtain the operation parameters of the fan array at each moment.
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the following describes a wind field digital twin system for wind environment test field construction according to the present invention in detail with reference to the embodiments and the accompanying drawings.
< example >
FIG. 2 is a schematic structural diagram of a wind field digital twin system for constructing a wind environment test field according to an embodiment of the present invention
As shown in fig. 2, the wind field digital twin system 100 for creating a wind environment test field in the present embodiment includes a wind environment creation laboratory 10, an internet of things platform 20, and a wind field digital twin 30, which are connected in communication with each other.
Wind environment construction laboratory 10 requires to be provided with the fan array that contains corresponding quantity fan according to wind direction and wind speed, and wherein every fan has all inlayed the sensor, in case the fan operation can gather the fan parameter when corresponding fan operation in real time to send the fan parameter for thing networking platform 20.
The internet of things platform 20 can receive fan parameters transmitted by the wind environment construction laboratory 10 and the wind field digital twin 20, perform preprocessing operations such as denoising and analysis on the fan parameters acquired by the wind environment construction laboratory 10 in real time, and transmit the preprocessed fan parameters to the wind field digital twin 20; for the fan parameters received from the internet of things platform 20, control parameters are generated according to the fan parameters, and the fan of the wind environment building room 10 is controlled in real time by using the control parameters.
The wind field digital twin body 30 is used for mapping the running state of the fan and the wind field state to a digital space, performing unsteady numerical simulation on the simulation-based digital twin body, and continuously simulating the boundary condition of the fan inlet by means of calculation force until an optimization target is reached, so as to output fan parameters capable of accurately creating a target space flow field at the next moment to the internet of things platform 20.
Fig. 3 is a schematic flow chart of the construction of the wind environment test field based on the wind field digital twin system in the embodiment of the present invention.
As shown in fig. 3, the specific process of constructing the wind environment test field based on the wind field digital twin system 100 is as follows:
firstly, the wind environment construction laboratory 10 sets a fan array according to the wind direction and the wind speed requirement, collects fan parameters of a corresponding fan in real time during operation, and sends the collected fan parameters to the internet of things platform 20.
Then, the internet of things platform 20 performs data preprocessing on the fan parameters acquired by the wind environment construction laboratory 10, and transmits the preprocessed fan parameters to the wind field digital twin 30.
The wind field digital twin body 30 performs unsteady numerical simulation analysis according to the fan parameters received from the internet of things platform 20, and selects the fan parameters corresponding to the simulation analysis result with the timing sequence parameters of the target space flow field as an optimization target, and stores the selected fan parameters while transmitting the fan parameters to the internet of things platform 20. Specifically, the method comprises the following steps:
firstly, the wind field digital twin 30 of the embodiment adopts ansysicoem to model all hierarchical laboratories in the wind environment construction laboratory 10 in which the fan array is arranged to obtain a geometric model, then introduces the geometric model into ansysifluent to construct a CFD numerical model, and uses a DynamicROM technology to make the laboratories into a reduced-order model for system simulation, so that the simulation time can be greatly reduced, and real-time simulation can be realized.
Secondly, the wind field digital twin 30 applies the fan parameters read from the internet of things platform 20 to a simulation model containing a reduced model through ANSYS Parameterized Design Language (APDL) as a fan inlet boundary condition, sets a certain time step for unsteady state numerical simulation analysis to obtain laboratory flow field data at the next moment, and compares the derivation result of the simulation analysis with the target space flow field:
when the simulation analysis result is inconsistent with the target space flow field, discarding the result, and modifying the boundary condition of the fan inlet by the wind field digital twin 30 through ANSYS Parameterized Design Language (APDL) to continue simulation until the circulation obtains an optimal solution;
when the simulation analysis result is in accordance with the target space flow field, the wind field digital twin 30 directly outputs the fan parameter to the internet of things platform 20, and saves the current flow field result as the initial flow field at the next moment.
Finally, the internet of things platform 20 takes the selected fan parameters received from the wind field digital twin 30 as laboratory flow field data at the next moment, so as to generate control parameters to control the fan array of the wind environment construction laboratory 10, and the wind environment construction laboratory 10 starts the fan array at the next moment according to the control parameters of the internet of things platform.
And the fan parameters of the target space flow field at the next moment can be accurately constructed through the cyclic iterative optimization.
Assuming that the current demand is an extremely simplified target wind farm: a total duration of 6 seconds with a time step of 2 seconds per wind farm state needs to be created. The initial state is 10m/s in the north wind, and the wind is switched to 3m/s in the south-east wind after 2 seconds, and then is switched to 8m/s in the north-east wind after 2 seconds (namely, the 4 th second).
In order to build an initial wind field state, the state parameter of the fan responsible for the northern wind is set to be 10 m/s. However, if it is desired to switch to 3m/s of southeast wind after 2 seconds, the simulation-based wind field digital twin system 100 of the present embodiment may be adopted to obtain the state parameter adjustment strategy of each wind turbine in the wind turbine array after 2 seconds. And then obtaining the state parameter adjusting strategy of each fan in the fan array at the moment by using the same flow in the 4 th second, thereby completing the construction of the target wind field.
Examples effects and effects
According to the wind field digital twin system for wind environment test field construction provided by the embodiment, the wind field digital twin system comprises three modules, namely a wind environment construction laboratory, an internet of things platform and a wind field digital twin body, under the premise that the configuration state of a fan array is determined based on the wind environment construction laboratory, the phenomenon of fan state output hysteresis is considered, the fan running state and the wind field state are mapped to a digital space through the wind field digital twin body, unsteady state numerical simulation is carried out based on the simulated digital twin body, the boundary condition of a fan inlet is continuously simulated by means of calculation force until an optimal solution is obtained circularly, the optimal solution is transmitted to the internet of things platform, the internet of things platform determines and controls the output wind speed of each fan in the array of the wind environment construction laboratory according to the optimal solution parameters in real time, accurate construction of a target unsteady wind field is realized, and finally fan parameters of a target space flow field at the next moment can be accurately constructed through circular iteration optimization.
In conclusion, the extreme wind field scheme created based on the digital twinning method comprehensively utilizes modeling and intelligent devices such as CFD simulation analysis software, a sensor, a digital twinning platform and an Internet of things platform, so that interactive feedback of a real fan and a virtual fan is realized, deviation of artificial regulation of the fan is avoided, and real-time intelligent control of the fan is practically achieved.
The above-described embodiments are merely illustrative of specific embodiments of the present invention, and the present invention is not limited to the description of the above-described embodiments.

Claims (5)

1. A wind field digital twin system for construction of a wind environment test field, comprising:
building a laboratory in a wind environment;
an Internet of things platform; and
a wind field digital twin;
wherein, the wind environment construction laboratory sets a fan array comprising a corresponding number of fans according to the requirements of wind direction and wind speed, each fan is embedded with a sensor for acquiring fan parameters in real time when the corresponding fan runs and sending the fan parameters to the Internet of things platform,
the Internet of things platform carries out data preprocessing on fan parameters collected by the wind environment construction laboratory and transmits the preprocessed fan parameters to the wind field digital twin body,
the wind field digital twin body builds a laboratory model for the wind environment to generate a simulation model, applies the fan parameters read in real time from the Internet of things platform to the simulation model as the boundary conditions of the fan inlet at the current moment, sets a preset time step length to perform unsteady state numerical simulation analysis to obtain a simulation analysis result, takes the time sequence parameters of a target space flow field as an optimization target, screens the fan parameters corresponding to the simulation analysis result, and stores the screened fan parameters while sending the fan parameters to the Internet of things platform,
the platform of the Internet of things takes the screened fan parameters received from the wind field digital twin as the laboratory flow field data at the next moment, so as to generate control parameters to control the wind environment to build a fan array of a laboratory,
the wind environment construction laboratory starts a fan array at the next moment according to the control parameters of the Internet of things platform,
the above circulation is carried out, so that the wind environment construction laboratory creates an accurate target space flow field.
2. The wind field digital twin system for wind environment test field construction according to claim 1, wherein:
and the data preprocessing comprises denoising and analyzing the fan parameters.
3. The wind field digital twin system for wind environment test field construction according to claim 1, wherein:
wherein, the screening specifically comprises the following steps:
comparing the simulation analysis result with the time sequence parameter of the target space flow field,
once the simulation analysis result conforms to the time sequence parameter of the target space flow field, the fan parameter corresponding to the simulation analysis result is used as the laboratory flow field data at the next moment,
and once the simulation analysis result does not accord with the time sequence parameter of the target space flow field, discarding the simulation analysis result, and continuously simulating by modifying the boundary condition of the inlet of the fan by the wind field digital twin body until the simulation analysis result matched with the time sequence parameter of the target space flow field is obtained circularly.
4. The wind field digital twin system for wind environment test field construction according to claim 3, wherein:
the wind field digital twin body adopts ANSYS parameterized design language APDL to read fan parameters and modify fan inlet boundary conditions.
5. The wind field digital twin system for wind environment test field construction according to claim 1, wherein:
the modeling process of the simulation model is as follows:
the wind field digital twin firstly adopts ANSYS ICEM to model a laboratory provided with a fan array to obtain a geometric model, then introduces the geometric model into ANSYS FLUENT to construct a CFD numerical model, and uses a Dynamic ROM technology to make the laboratory into a reduced-order model to perform system simulation to obtain a simulation model, so that real-time simulation is realized.
CN202211328701.9A 2022-10-26 2022-10-26 Wind field digital twin system for construction of wind environment test field Pending CN115758922A (en)

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Application Number Priority Date Filing Date Title
CN202211328701.9A CN115758922A (en) 2022-10-26 2022-10-26 Wind field digital twin system for construction of wind environment test field

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117725705A (en) * 2024-02-08 2024-03-19 中国汽车技术研究中心有限公司 Rib shape optimization method, device, equipment and storage medium
CN117725705B (en) * 2024-02-08 2024-05-31 中国汽车技术研究中心有限公司 Rib shape optimization method, device, equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117725705A (en) * 2024-02-08 2024-03-19 中国汽车技术研究中心有限公司 Rib shape optimization method, device, equipment and storage medium
CN117725705B (en) * 2024-02-08 2024-05-31 中国汽车技术研究中心有限公司 Rib shape optimization method, device, equipment and storage medium

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