CN115048814A - Virtual simulation interactive experiment system and method for artificial environment control - Google Patents
Virtual simulation interactive experiment system and method for artificial environment control Download PDFInfo
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Abstract
The invention provides a virtual simulation interactive experimental system and a method facing artificial environment control, wherein the system comprises a resource storage center, a user-defined component selecting and modeling module, a virtual reality interactive module, a user side operation interactive system, an environment simulation calculation processing module and an artificial intelligent temperature field regulating and controlling module, a user selects and constructs experimental components through the resource storage center or the user-defined component selecting and modeling module, the user side operation interactive system carries out operation input, the operation input of the user side operation interactive system is associated with a simulation experimental system through the virtual reality interactive module, the connection of real world behaviors and virtual experimental reaction is realized and is established with other users, the artificial intelligent temperature field regulating and controlling module provides environment control parameters through an artificial intelligent algorithm, the environment simulation calculation processing module calculates the environment control parameters, thereby completing the virtual simulation interactive experiment of the artificial environment control.
Description
Technical Field
The invention relates to the technical field of virtual reality, in particular to a virtual simulation interactive experiment system and method for artificial environment control.
Background
In recent years, rapid development of new technologies such as Virtual Reality (VR), Artificial Intelligence (AI), big data, etc. has led to a new turn of information technology revolution, and will have subversive impact on education. Among them, Virtual Reality (VR) technology has promoted the development of a new generation of man-machine interaction platform, and since the virtual reality concept was first proposed in 1960 until now, VR technology has been increasingly valued in the field of education as the software and hardware cost thresholds have been greatly reduced, the industry capital and policies have been gathered, and the public has been increasingly demanding on audio-visual interaction.
The development of online education and online-offline hybrid teaching is gradually deepened, and the current experimental education has the problems that the field or instrument and equipment of part of schools are lack and cannot fully meet the requirement of experimental teaching, students cannot directly go to the schools to carry out experiments, and large potential safety hazards exist in some experiments. The VR technique can solve the problems of knowledge planarization, content simplification, interaction shortage and the like in the traditional teaching process, has advantages in the aspects of vividly presenting teaching content, effectively creating personalized teaching environment, improving the immersive experience of students and the like, and can obviously improve the teaching quality and the learning efficiency. Therefore, the deep fusion of VR technology and experimental teaching is a great trend, and is an effective way for bringing changes to online experimental education.
Although online experimental resources can be used as supplement for insufficient offline resources, the existing online virtual experimental platform has the problems of lack of high-quality virtual teaching resources, neglect of individual difference and personalized requirements of learners, incapability of obtaining interactive and immersive experiences, urgent need for optimization of user interaction and collaborative experience and the like, and neglects the selection and construction of personalized components of a virtual experimental teaching scene by students; the modeling of the virtual building environment experiment scene and the components only considers the building construction and equipment layout, advanced algorithms (such as AI algorithm and the like) are not embedded, and simulation tools (such as CFD simulation tools) are not used, so that the changes of temperature field and air flow organization distribution in the time-space evolution process cannot be presented really, and students cannot learn and know the environment change condition in the real artificial environment control process; the single individual simple click operation is usually taken as the main operation, and the real effect that the user completely sets up the experiment scene and collaborates with other users cannot be realized.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a virtual simulation interactive experiment system and a virtual simulation interactive experiment method facing to artificial environment control, which can realize the selection and construction of individual components of experiment teaching scenes by experimenters, generate a temperature field and an airflow tissue distribution cloud chart of a real artificial environment through an artificial intelligence algorithm and an environment simulation calculation simulation tool, and facilitate different experimenters to put in the same virtual experiment scene and carry out interactive cooperation to carry out experiment innovation in the same experiment process.
In order to solve the problems, the technical scheme of the invention is as follows:
a virtual simulation interactive experiment system facing artificial environment control comprises a resource storage center, a user-defined component selecting and modeling module, a virtual reality interactive module, a user side operation interactive system, an environment simulation calculation processing module and an artificial intelligence temperature field regulation and control module, wherein a user selects and constructs experiment components through the resource storage center or the user-defined component selecting and modeling module, the user side operation interactive system carries out operation input, the operation input of the user side operation interactive system is associated with a simulation experiment system through the virtual reality interactive module, the connection of real world behaviors and virtual experiment reactions is realized, the connection is established with other users, the artificial intelligence temperature field regulation and control module provides environment control parameters through an artificial intelligence algorithm, the environment simulation calculation processing module calculates the environment control parameters, thereby completing the virtual simulation interactive experiment of the artificial environment control.
Optionally, the resource storage center is used for storing the user personalized image and the experiment model, and acquiring the experiment initial assembly and the experiment model.
Optionally, the system further comprises a data processing module, wherein the data processing module processes data input by the user side and reads the experimental model and the scene material data.
Optionally, the environment simulation calculation processing module includes a pre-processing module, a solver module and a post-processing module, the pre-processing module performs mesh division on the acquired experiment model, the solver module calculates the environment control parameter provided by the artificial intelligent temperature field regulation and control module, and the post-processing module performs dynamic visual presentation on the environment change in the experiment process.
Optionally, the specific operation process of the artificial intelligence temperature field regulation and control module is as follows: setting a plurality of temperature measuring points, measuring the parameters of the experimental environment, summarizing the measured data to a programmable logic controller, and connecting the measured data with a computer to calculate an intelligent algorithm related to a temperature field; the calculation result is fed back to the logic controller, and an environment control assembly arranged in the experiment is operated, so that the data condition of the whole laboratory environment is obtained, and the temperature field regulation and control of the simulation environment are realized; and dynamically and visually processing the environmental change in the whole experimental process to complete the simulation of the environmental change condition in the artificial environment control process.
Further, the invention also provides a virtual simulation interactive experimental method facing to artificial environment control, which comprises the following steps:
a user logs in the experiment system through the user side operation interaction system, and connection of real behaviors and virtual experiment reaction is established;
receiving a selection instruction sent by a user, selecting corresponding experimental equipment and experimental scenes from a database through the instruction, and carrying out three-dimensional modeling on the laboratory scenes and the equipment;
carrying out grid division on the selected experimental model, acquiring required data signals in an experimental scene, carrying out algorithm analysis on the acquired signal data to obtain optimal parameters, correcting the data and obtaining final data parameters;
calculating the final data parameters, sending the calculation result to an artificial intelligent temperature field regulation and control module, receiving an environment control instruction sent by a user by the artificial intelligent temperature field regulation and control module, and regulating the environment parameters of the target virtual experiment scene according to the environment control instruction;
the user feeds back the current experiment, different users can repeat the experiment and evaluate, and experimental data and evaluation can be referred among the users.
Optionally, the step of establishing a connection between the real behavior and the virtual experiment reaction by the user logging in the experiment system through the user side operation interaction system specifically includes: the system carries out basic user identification and character construction through user input and database information, if the information of the user exists in the database, the corresponding character model in the database is directly called, and if the information of the user is a new user, the user is guided to create the character model of the user and store the character model in the database.
Optionally, the receiving a selection instruction sent by a user, selecting corresponding experimental equipment and experimental scenes from the database through the instruction, and performing three-dimensional modeling on the laboratory scenes and the experimental equipment specifically includes: a user acquires from the resource storage center or establishes an experimental model through a user-defined component selection and modeling module, a virtual experimental scene space is selected and constructed according to the experimental direction of the user, and three-dimensional modeling is carried out on a laboratory scene and equipment by using the Unity3D and a model pre-constructed in a database.
Optionally, the step of performing mesh division on the selected experimental model, acquiring a data signal required in an experimental scene, performing algorithm analysis on the acquired signal data to obtain an optimal parameter, and correcting the data to obtain a final data parameter specifically includes: the system divides a selected experimental model into grids through a pretreatment module of an environment simulation calculation processing module, gathers information and transmits the gathered information to a solver module, collects data signals required in an experimental scene through a built-in sensor, transmits the collected signal data to an artificial intelligent temperature field regulation and control module, and the artificial intelligent temperature field regulation and control module performs algorithm analysis on the signal data to obtain optimal parameters and corrects the data.
Optionally, the step of calculating the final data parameter, sending the calculation result to an artificial intelligence temperature field regulation and control module, receiving an environment control instruction sent by a user by the artificial intelligence temperature field regulation and control module, and adjusting the environment parameter of the target virtual experimental scene according to the environment control instruction specifically includes: calculating the final data parameters through a solver module of the environment simulation calculation processing module, calculating by using a k-epsilon model equation in simulation, performing visualization processing on the calculated data through a post-processing module, sending a solution result to the artificial intelligent temperature field regulation and control module, receiving an environment control instruction sent by a user through the artificial intelligent temperature field regulation and control module, and adjusting the running state of the intelligent equipment in the target virtual experimental scene according to the environment control instruction so as to adjust the environment parameters of the target virtual experimental scene.
Compared with the prior art, the virtual simulation experiment system and the virtual simulation experiment method for artificial environment control, which are visual, easy to operate and strong in innovation, overcome the bottleneck that the traditional artificial environment control system is relevant to experiment datamation, non-visual and difficult to develop, and improve the visual experience of user experiments. Aiming at individual differences and individual requirements of learners, the user selects and constructs individual components of the virtual experiment teaching scene through the user-defined component selecting and modeling module. The real-time regulation and control method of the temperature field of the artificial environment comprises the steps of obtaining parameters of non-uniform temperature field real-time regulation and control based on an artificial intelligence algorithm, generating distribution animations of a real artificial environment space-time temperature field and airflow organization by means of an environment simulation calculation simulation tool, enabling a user to obtain immersive experimental experience, enhancing user interaction and collaborative experience through a virtual reality interaction module, and observing and interacting virtual images and behaviors of other users when the user is placed in an experimental scene at a first visual angle.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic structural diagram of a virtual simulation interactive experiment system for artificial environment control according to an embodiment of the present invention;
fig. 2 is a flowchart of a virtual simulation interaction experimental method for artificial environment control according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Specifically, fig. 1 is a schematic structural diagram of a virtual simulation interaction experiment system for artificial environment control according to an embodiment of the present invention, and as shown in fig. 1, the system includes a resource storage center 1, a data processing module 2, a custom component selection and modeling module 3, a virtual reality interaction module 4, a user side operation interaction system 5, an environment simulation calculation processing module 6, and an artificial intelligence temperature field regulation and control module 7.
The resource storage center 1 stores preset experiment models and experiment scene materials, and users can store personalized images and experiment models created by the users through the networking cloud resource storage center and obtain experiment components and models uploaded by the users or other users.
The data processing module 2 can read the experimental model and the scene material data of the resource storage center 1 and process data such as user operation input and user files. The user selects the components according to the requirement by self through the self-defined component selecting and modeling module 3, creates an individualized image and establishes a model for interacting with other users in the virtual experiment scene, combines the candidate experiment components into the initial virtual experiment teaching scene, and the user can edit the logic and appearance attributes of the selected virtual experiment components.
The virtual reality interaction module 4 can observe the personalized images and experimental behaviors of other users at a first visual angle by connecting the operation input of the user in the user side operation interaction system 5 with the experimental model and other user behaviors in the simulation experiment system, and can discuss the personalized images and the experimental behaviors to provide real cooperative experiment interaction experience. The user side operation interaction system 5 provides user operation input, connects real world behaviors with virtual experiment reactions, and is connected with other users to realize online multi-user interaction cooperation experiments.
The environment simulation calculation processing module 6 comprises three modules of a pre-processing module, a solver module and a post-processing module, and can realize parameter setting and data processing, high-precision simulation and result output of the artificial environment control experiment data. The experimental model obtained through the resource storage center 1 or the custom modeling system is subjected to grid division through a pre-processing module, data are processed through a solver and an artificial intelligent temperature field regulation and control module 7, and finally computer visualization and animation processing of parameters are performed through a post-processing module. The artificial intelligence temperature field regulation and control module 7 has the main functions of: and calculating and generating an air supply condition signal of the air conditioner which accords with the controlled artificial environment by using an intelligent algorithm of the non-uniform temperature field, automatically obtaining the control requirements of components such as an air valve, a water valve and the like, and guiding a user to correctly carry out an artificial environment control experiment.
Further, the function realization of the artificial intelligence temperature field regulation and control module 7 comprises the following steps:
(1) setting a plurality of temperature measuring points, summarizing measured data to a programmable logic controller, and connecting the measured data with a computer to perform an intelligent algorithm related to a temperature field;
(2) the calculation result is fed back to the logic controller, and environment control components (such as a water valve and an air valve) arranged in the experiment are operated to obtain the data condition of the whole laboratory environment, so that the temperature field regulation and control of the simulation environment are finally realized;
(3) and carrying out dynamic visual processing on the environmental change in the whole experimental process through a post-processing function, such as temperature and wind speed change.
As shown in fig. 2, the present invention further provides a virtual simulation interactive experimental method facing artificial environment control, which includes the following steps:
s1: a user logs in the experiment system through the user side operation interaction system, and connection of real behaviors and virtual experiment reaction is established;
specifically, the system performs basic user identification and character construction through user input and database information, directly calls a corresponding character model in the database if the information of the user exists in the database, and guides the user to create the character model of the user and store the character model in the database if the information of the user is a new user.
S2: receiving a selection instruction sent by a user, selecting corresponding experimental equipment and experimental scenes from a database through the instruction, and carrying out three-dimensional modeling on the laboratory scenes and the equipment;
specifically, the user acquires the experiment model from the resource storage center or establishes the experiment model through the user-defined component selection and modeling module, and can establish connection with other users to realize cooperative experiments. And selecting and constructing a virtual experiment scene space according to the experiment direction of the user, wherein the construction of the virtual experiment scene space comprises a space form, a three-dimensional space scale parameter, a space physical parameter and a measurement component required by the experiment. The method comprises the steps of carrying out three-dimensional modeling on a laboratory scene and equipment by utilizing the Unity3D and a model pre-constructed in a database, storing knowledge such as detailed performance parameters, attribute parameters, function introduction, a using method and the like corresponding to the laboratory equipment when the three-dimensional model of each laboratory equipment is stored in a storage module, facilitating a user to call and watch in the using process, generating a corresponding three-dimensional model, and putting characters controlled by the user into the scene to start an experiment. The Unity3D file is inserted into the static webpage in a plug-in mode, then the getURL is used for achieving external event calling and triggering the Unity3D file, the database and the static webpage are linked through JSP language, data generated by operating the virtual file are taken out of experimental data in a related area of the server database through JSP, and therefore the virtual file and the database can be linked.
The method comprises the steps that VR equipment displays a virtual experiment scene, a user operates a specific experiment through a virtual reality interaction module, the interaction action of the user and a virtual laboratory is obtained, the interaction action and the corresponding experiment effect in the scene are simulated, and the user experiment operation input is formed into a map to be associated with a virtual experiment system and to be interactively cooperated with other users in real time; and the user acquires the experimental model or the self-defined experimental model through the resource storage center according to the research direction.
S3: and carrying out grid division on the selected experimental model, acquiring required data signals in an experimental scene, carrying out algorithm analysis on the acquired signal data to obtain optimal parameters, correcting the data and obtaining final data parameters.
Specifically, the system performs grid division on the selected experimental model through a pretreatment function of an environment simulation calculation processing module, adopts quadrilateral grid division, defines each boundary of the model according to the types of a speed inlet, a pressure outlet, a fluid outlet and the like, and summarizes and transmits information to a solver module. The system collects data signals required in an experimental scene through a built-in sensor, the collected signal data are gathered to a programmable logic controller and further transmitted to an artificial intelligent temperature field regulation and control module connected with a computer, the artificial intelligent temperature field regulation and control module conducts algorithm analysis on the signal data to obtain optimal parameters and correct data, and the correct data are fed back to the logic controller to conduct control and regulation on components (such as a water valve, an air valve and the like) built in the experimental scene, so that the required final data parameters are obtained.
S4: calculating the final data parameters, sending the calculation result to an artificial intelligent temperature field regulation and control module, receiving an environment control instruction sent by a user by the artificial intelligent temperature field regulation and control module, and regulating the environment parameters of the target virtual experimental scene according to the environment control instruction;
the created model is led into Fluent simulation software, different discrete formats and numerical methods are adopted so as to enable the aspects of calculation speed, stability, precision and the like to achieve the optimal combination in a specific field, a computer sets each boundary condition and defines the environmental temperature, and the calculated data generate corresponding experimental scenes and environmental parameters;
calculating the final data parameters through a solver function of an environment simulation calculation processing module, calculating by using a k-epsilon model equation in simulation, and performing calculation visualization and animation processing on the calculated data through a post-processing function by using a computer; and sending the solving result to an artificial intelligent temperature field regulation and control module. The artificial intelligent temperature field regulation and control module receives an environment control instruction sent by a user, and adjusts the running state of the intelligent equipment in the target virtual experimental scene according to the environment control instruction, so that the environment parameters of the target virtual experimental scene are adjusted.
When the experiment is completed and the relevant data is filled in, the natural environment needs to be recovered, so that the running states of intelligent equipment such as curtains and illuminating lamps in the target virtual experiment scene can be adjusted, the environmental parameters of the target virtual experiment scene are adjusted, and the virtual experiment scene is more operational and more vivid. And a user can observe result change in an experimental scene and the visual presentation processed by the environment simulation calculation processing module in real time through VR equipment.
S5: the user feeds back the current experiment, different users can repeat the experiment and evaluate, and experimental data and evaluation can be referred among the users.
The data processing module collects and records user operation data and stores the user operation data to the resource storage center to realize experiment sharing; all the automatic evaluation data of the experiment tasks are finally displayed to the user in a report form, and statistics can be carried out according to dimensions of different experiment tasks, different courses, different teachers and the like. The automatic evaluation method mainly counts the final score of automatic evaluation, and is convenient for schools and teachers to judge the teaching quality of courses and the completion quality of experiment operation.
Through the virtual interaction module and the data center, different users can repeatedly perform experiments and evaluate, and experimental data and evaluation can be referred among the users. When the analysis is carried out according to the experimental data, only the local experimental data are analyzed, or the local experimental data and the cloud experimental data acquired from the data storage sharing platform in the same experimental project and research direction are integrated to carry out cross comparison analysis.
Compared with the prior art, the virtual simulation experiment system and the virtual simulation experiment method for artificial environment control, which are visual, easy to operate and strong in innovation, overcome the bottleneck that the traditional artificial environment control system is relevant to experiment datamation, non-visual and difficult to develop, and improve the visual experience of user experiments. Aiming at individual difference and individual requirements of learners, the user selects and constructs individual components of the virtual experiment teaching scene through the user-defined component selecting and modeling module. The real-time regulation and control method of the temperature field of the artificial environment comprises the steps of obtaining parameters of non-uniform temperature field real-time regulation and control based on an artificial intelligence algorithm, generating distribution animations of a real artificial environment space-time temperature field and airflow organization by means of an environment simulation calculation simulation tool, enabling a user to obtain immersive experimental experience, enhancing user interaction and collaborative experience through a virtual reality interaction module, and observing and interacting virtual images and behaviors of other users when the user is placed in an experimental scene at a first visual angle.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A virtual simulation interactive experiment system facing artificial environment control is characterized by comprising a resource storage center, a user-defined component selecting and modeling module, a virtual reality interactive module, a user side operation interactive system, an environment simulation calculation processing module and an artificial intelligent temperature field regulating and controlling module, wherein a user selects and constructs experiment components through the resource storage center or the user-defined component selecting and modeling module, the user side operation interactive system carries out operation input, the operation input of the user side operation interactive system is associated with a simulation experiment system through the virtual reality interactive module, the connection of real world behaviors and virtual experiment reactions is realized, and the connection is established with other users, the artificial intelligent temperature field regulating and controlling module provides environment control parameters through an artificial intelligent algorithm, and the environment simulation calculation processing module calculates the environment control parameters, thereby completing the virtual simulation interactive experiment of the artificial environment control.
2. The artificial environment control-oriented virtual simulation interactive experiment system according to claim 1, wherein the resource storage center is used for storing user personalized images and experiment models, and acquiring experiment initial components and models.
3. The artificial environment control-oriented virtual simulation interactive experiment system according to claim 1, further comprising a data processing module, wherein the data processing module processes data input by the user side and reads experiment models and scene material data.
4. The artificial environment control-oriented virtual simulation interactive experiment system according to claim 1, wherein the environment simulation calculation processing module comprises a pre-processing module, a solver module and a post-processing module, the pre-processing module is used for grid division of the acquired experiment model, the solver module is used for calculating environment control parameters provided by the artificial intelligent temperature field regulation and control module, and the post-processing module is used for dynamically and visually presenting environment changes in the experiment process.
5. The artificial environment control-oriented virtual simulation interactive experiment system according to claim 1, wherein the specific operation process of the artificial intelligent temperature field regulation and control module is as follows: setting a plurality of temperature measuring points, measuring the parameters of the experimental environment, summarizing the measured data to a programmable logic controller, and connecting the measured data with a computer to calculate an intelligent algorithm related to a temperature field; the calculation result is fed back to the logic controller, and an environment control assembly arranged in the experiment is operated, so that the data condition of the whole laboratory environment is obtained, and the temperature field regulation and control of the simulation environment are realized; and carrying out dynamic visual processing on the environmental change in the whole experimental process to complete the simulation of the environmental change condition in the artificial environment control process.
6. A virtual simulation interactive experimental method for artificial environment control is characterized by comprising the following steps:
a user logs in the experiment system through the user side operation interaction system, and connection of real behaviors and virtual experiment reaction is established;
receiving a selection instruction sent by a user, selecting corresponding experimental equipment and experimental scenes from a database through the instruction, and carrying out three-dimensional modeling on the laboratory scenes and the equipment;
carrying out grid division on the selected experimental model, acquiring required data signals in an experimental scene, carrying out algorithm analysis on the acquired signal data to obtain optimal parameters, correcting the data and obtaining final data parameters;
calculating the final data parameters, sending the calculation result to an artificial intelligent temperature field regulation and control module, receiving an environment control instruction sent by a user by the artificial intelligent temperature field regulation and control module, and regulating the environment parameters of the target virtual experimental scene according to the environment control instruction;
the user feeds back the current experiment, different users can repeat the experiment and evaluate, and experimental data and evaluation can be referred among the users.
7. The artificial environment control-oriented virtual simulation interactive experimental method of claim 6, wherein the step of establishing the connection between the real behavior and the virtual experimental reaction by the user logging in the experimental system through the user side operating the interactive system specifically comprises: the system carries out basic user identification and character construction through user input and database information, if the information of the user exists in the database, the corresponding character model in the database is directly called, and if the information of the user is a new user, the user is guided to create the character model of the user and store the character model in the database.
8. The artificial environment control-oriented virtual simulation interactive experimental method of claim 6, wherein the step of receiving a selection instruction sent by a user, selecting corresponding experimental equipment and experimental scenes from a database through the instruction, and performing three-dimensional modeling on the laboratory scenes and the experimental equipment specifically comprises: a user acquires from the resource storage center or establishes an experimental model through a user-defined component selection and modeling module, a virtual experimental scene space is selected and constructed according to the experimental direction of the user, and three-dimensional modeling is carried out on a laboratory scene and equipment by using the Unity3D and a model pre-constructed in a database.
9. The artificial environment control-oriented virtual simulation interactive experimental method of claim 6, wherein the step of performing mesh division on the selected experimental model, acquiring required data signals in an experimental scene, performing algorithm analysis on the acquired signal data to obtain optimal parameters and correcting the data to obtain final data parameters specifically comprises: the system divides the selected experimental model into grids through a pretreatment module of an environment simulation calculation processing module, collects information and transmits the collected information to a solver module, collects data signals required in an experimental scene through a built-in sensor, transmits the collected signal data to an artificial intelligent temperature field regulation and control module, and the artificial intelligent temperature field regulation and control module performs algorithm analysis on the signal data to obtain optimal parameters and corrects the data.
10. The artificial environment control-oriented virtual simulation interactive experimental method according to claim 6, wherein the step of calculating the final data parameters, sending the calculation result to the artificial intelligence temperature field regulation and control module, receiving an environment control instruction sent by a user by the artificial intelligence temperature field regulation and control module, and adjusting the environment parameters of the target virtual experimental scene according to the environment control instruction specifically comprises: calculating the final data parameters through a solver module of the environment simulation calculation processing module, calculating by using a k-epsilon model equation in simulation, performing visualization processing on the calculated data through a post-processing module, sending a solution result to the artificial intelligent temperature field regulation and control module, receiving an environment control instruction sent by a user through the artificial intelligent temperature field regulation and control module, and adjusting the running state of the intelligent equipment in the target virtual experimental scene according to the environment control instruction so as to adjust the environment parameters of the target virtual experimental scene.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116228198A (en) * | 2023-03-03 | 2023-06-06 | 中建五洲工程装备有限公司 | Anti-fatigue orthotropic plate postweld heat treatment management and control method based on virtual reality |
| CN117173365A (en) * | 2023-08-07 | 2023-12-05 | 华中师范大学 | Virtual scene generation method and system based on sound AI model |
| CN117205537A (en) * | 2023-09-08 | 2023-12-12 | 武汉卓讯互动信息科技有限公司 | Unattended visual simulation virtual amusement equipment management method and system |
| CN118153142A (en) * | 2024-05-13 | 2024-06-07 | 江西旅游商贸职业学院 | Home design method and system based on virtual reality |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116228198A (en) * | 2023-03-03 | 2023-06-06 | 中建五洲工程装备有限公司 | Anti-fatigue orthotropic plate postweld heat treatment management and control method based on virtual reality |
| CN117173365A (en) * | 2023-08-07 | 2023-12-05 | 华中师范大学 | Virtual scene generation method and system based on sound AI model |
| CN117173365B (en) * | 2023-08-07 | 2024-05-24 | 华中师范大学 | Virtual scene generation method and system based on sound AI model |
| CN117205537A (en) * | 2023-09-08 | 2023-12-12 | 武汉卓讯互动信息科技有限公司 | Unattended visual simulation virtual amusement equipment management method and system |
| CN118153142A (en) * | 2024-05-13 | 2024-06-07 | 江西旅游商贸职业学院 | Home design method and system based on virtual reality |
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