CN115086638A - VR ecological simulation module communication connection method and system - Google Patents
VR ecological simulation module communication connection method and system Download PDFInfo
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Abstract
The VR ecological simulation module communication connection method and system provided by the embodiment of the application can be combined with dynamic indexes to carry out optimization operation on the control parameter description of each VR control state, so that the significance interaction data set of each VR control state is accurately positioned, current communication guide information can be accurately and reliably generated based on the significance interaction data set and the obtained quantitative indication, communication connection processing between a VR system and a VR ecological simulation module is efficiently and stably achieved through the current communication guide information, rapid communication interaction between the VR ecological simulation module and VR scene equipment is further achieved, and a stable and reliable immersive VR scene is built.
Description
Technical Field
The application relates to the technical field of VR, in particular to a VR ecological simulation module communication connection method and system.
Background
With the continuous development and optimization of Virtual Reality (VR) technology, VR technology has been related to many vertical fields, from basic fields such as games, movies, medicine, education, driving simulation, motion capture, holographic projection, panoramic cameras, etc., to extended fields such as optics, naked eye 3D, brain waves, neuromuscular electricity, etc., various fields seem to be perfectly integrated with VR technology. In the process of falling to the ground by the concretization of the VR technology, the high-quality communication of each simulation module in the VR ecological scene is particularly important, but the related technology is difficult to meet the requirement.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a communication connection method and system for VR ecological simulation modules.
In a first aspect, an embodiment of the present application provides a VR ecological simulation module communication connection method, where the VR ecological simulation module communication connection method includes: acquiring simulation module historical communication records and VR event label distribution of the simulation module historical communication records; decomposing the VR event label distribution to obtain control parameter descriptions of a plurality of VR control states; performing dynamic index optimization operation on the control parameter description of each VR control state to obtain the optimized control parameter description of each VR control state; obtaining a significant interaction data set of each VR control state through the optimized control parameter description of each VR control state and the historical communication record of the simulation module; obtaining a quantitative indication from the significant interaction dataset for each VR control state; generating current communication guidance information in conjunction with the significant interaction data set for each VR control state and the quantitative indication.
Design like this, can combine dynamic index to describe the control parameter of every VR control state and carry out optimization operation, thereby pinpoint every VR control state's apparent interaction data set, can instruct accurate the generating current communication guide information reliably based on showing the interaction data set and the quantization that obtains like this, thereby instruct information high-efficient and stable realization VR system and VR ecological simulation module's communication connection through current communication and handle, and then realize the quick communication interaction between VR ecological simulation module and the VR scene equipment, in order to build reliable and stable immersive VR scene.
For some independently implementable technical solutions, the performing a dynamic index optimization operation on the control parameter description of each VR control state to obtain an optimized control parameter description includes: obtaining a dynamic index described by the control parameter of each VR control state; taking the dynamic index described by the control parameter of each VR control state as the optimized reference index of each VR control state; and optimizing the control parameter items in the control parameter description of each VR control state based on the optimized reference index of the VR control state to obtain the optimized control parameter description of the VR control state.
By the design, the activation region described by the control parameters of the VR control state can be increased through dynamic index optimization operation, and then local VR event label disturbance based on VR event label distribution is avoided.
For some independently implementable solutions, the obtaining a dynamic indicator of the control parameter description of each VR control state includes: obtaining a credibility coefficient statistical result of the control parameter description of each VR control state; obtaining the reliability coefficient loss and reliability coefficient depolarization processing results described by the control parameters of each VR control state by combining the reliability coefficient statistical results and the designated judgment values; and obtaining the dynamic index through the reliability coefficient loss and the reliability coefficient depolarization processing result.
By the design, the precision and the reliability of optimization operation can be guaranteed by combining the provided specific dynamic index optimization operation idea.
For some independently implementable solutions, the obtaining a significant interaction data set for each VR control state from the optimized control parameter description for each VR control state and the simulation module historical communication record comprises: obtaining a differentiated ecological operation description in the optimized control parameter description of each VR control state; and obtaining the significance interaction data characteristics in the differentiated ecological operation description of each VR control state through setting strategies and historical communication records of the simulation module, and forming significance data distribution by combining the significance interaction data characteristics of all VR control states.
By the design, the weight of the significant identification information can be accurately and completely reflected through the significant data distribution.
For some independently implementable aspects, the obtaining a quantitative indication via the significant interaction dataset for each VR control state comprises: obtaining a VR control state significance index through significance interaction data characteristics in the differentiated ecological operation description of each VR control state; obtaining VR control state evaluation of the control parameter item of each control parameter item in the historical communication record of the simulation module; obtaining VR control state significance index weighting results of all VR control states; and obtaining the quantitative indication by combining the VR control state evaluation of the control parameter item and the VR control state significance index weighting result.
By means of the design, the weight of each tag information of each VR control state can be efficiently determined through quantitative indication.
For some independently implementable aspects, the generating current communication guidance information in combination with the significant interaction dataset for each VR control state and the quantitative indication comprises: and carrying out fusion processing on the members of the significant data distribution and the members of the quantitative indication according to the characteristic focus points of the historical communication records of the simulation module so as to generate the current communication guide information.
By the design, fusion processing can be performed by combining members (elements) in the quantitative indication, so that the integrity of the current communication guidance information is guaranteed.
For some independently implementable technical solutions, the VR ecological simulation module communication connection method further includes: performing dimensionless simplification processing on the VR event label distribution; the step of splitting the VR event label distribution to obtain control parameter descriptions of a plurality of VR control states includes: and disassembling the VR event label distribution after dimension reduction to obtain control parameter descriptions of a plurality of VR control states.
By the design, the distribution integrity of the VR event labels subjected to dimension reduction processing can be guaranteed.
For some independently implementable technical solutions, the VR ecological simulation module communication connection method further includes: loading the current communication guide information to a designated information processing network, and obtaining a cost function output result obtained by debugging the current communication guide information; on the basis that the cost function output result is smaller than a set cost result, processing the cost function output result in a specified mode; and debugging the specified information processing network through the processed cost function output result.
By the design, the error of the current communication guide information can be improved by optimizing the cost function output result of the information processing network.
For some independently implementable technical solutions, the processing the cost function output result in a specified manner includes: on the basis that the output result of the cost function is not less than a specified judgment value, the output result of the cost function is adjusted to the specified judgment value; or, updating the cost function output result through the specified judgment value; or on the basis that the cost function output result is not smaller than the specified judgment value, the cost function output result is adjusted to a default value.
By means of the design, the operation stability of the information processing network can be improved by adjusting the information processing network.
For some independently implementable technical solutions, the VR ecological simulation module communication connection method further includes: obtaining current communication guide information generated by the specified information processing network; and taking the generated current communication guide information as input information for the next debugging of the specified information processing network.
By adopting the above design, the derived information of the information processing network is imported as the current communication guidance information, so that the reliability of network training can be improved.
In a second aspect, the present application also provides a VR system comprising a processor and a memory; the processor is in communication with the memory, and the processor is configured to read the computer program from the memory and execute the computer program to implement the method described above.
In the embodiment of the application, a VR system obtains historical communication records of a simulation module and VR event label distribution of the historical communication records of the simulation module; decomposing the distribution of VR event labels to obtain control parameter descriptions of a plurality of VR control states; performing dynamic index optimization operation on the control parameter description of each VR control state to obtain the optimized control parameter description of each VR control state; obtaining a significant interaction data set of each VR control state through the optimized control parameter description of each VR control state and the historical communication record of the simulation module; obtaining a quantitative indication from the significant interaction dataset for each VR control state; current communication guidance information is generated based on the salient interaction data sets and the quantitative indications for each VR control state. The VR ecological simulation module communication connection method can be combined with dynamic indexes to carry out optimization operation on the control parameter description of each VR control state, so that the significance interaction data set of each VR control state is accurately positioned, current communication guide information can be accurately and reliably generated based on the significance interaction data set and the obtained quantitative indication, communication connection processing of a VR system and a VR ecological simulation module is efficiently and stably achieved through the current communication guide information, rapid communication interaction between the VR ecological simulation module and VR scene equipment is achieved, and a stable and reliable immersive VR scene is built.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic hardware structure diagram of a VR system according to an embodiment of the present application.
Fig. 2 is a schematic flowchart of a VR ecological simulation module communication connection method according to an embodiment of the present application.
Fig. 3 is a schematic view of a communication architecture of an application environment of a VR ecological simulation module communication connection method according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided by the embodiments of the present application may be executed in a VR system, a computer device, or a similar computing device. Taking the VR system as an example, fig. 1 is a hardware structure block diagram of a VR system implementing a VR ecological simulation module communication connection method according to an embodiment of the present application. As shown in fig. 1, VR system 10 may include one or more (only one shown in fig. 1) processors 102 (processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data, and optionally a transmission device 106 for communication functions. Those skilled in the art will appreciate that the configuration shown in fig. 1 is merely illustrative and is not intended to limit the configuration of the VR system described above. For example, the VR system 10 may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store computer programs, for example, software programs and modules of application software, such as a computer program corresponding to a VR ecological simulation module communication connection method in the embodiment of the present application, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the above method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located from the processor 102, which may be connected to the VR system 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of such networks may include wireless networks provided by the communication provider of the VR system 10. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Based on this, please refer to fig. 2, fig. 2 is a schematic flow chart of a VR ecological simulation module communication connection method provided in an embodiment of the present invention, the method is applied to a VR system, and further the method at least may include the following technical solutions recorded in step 11 and step 13.
Step 11, acquiring a simulation module historical communication record and VR event label distribution of the simulation module historical communication record; and disassembling the VR event label distribution to obtain control parameter descriptions of a plurality of VR control states.
In the embodiment of the invention, the historical communication records of the simulation module comprise various data information interactive communication logs of the prior simulation module in the operation process, the presentation form of the logs can be texts or graphics, and VR event tags are distributed and used for distinguishing and counting different VR interactive events. The VR control state can correspond to different control categories, and the control parameter description can be understood as a control characteristic used for recording the significance or key content in the module control process.
For example, the dynamic index optimization operation may be a dynamic index-based adjustment process (such as a smooth denoising process).
In some examples, the dynamic index optimization operation performed on the control parameter description of each VR control state recorded in step 12 to obtain an optimized control parameter description of each VR control state may include the contents recorded in steps 121 to 123.
And step 121, obtaining the dynamic index described by the control parameter of each VR control state.
By way of example, a dynamic index may be understood as an adjustable coefficient for indicating feature optimization. Further, in some examples, the dynamic index recorded in step 121 to obtain the control parameter description of each VR control state may include the following: obtaining a credibility coefficient statistical result of the control parameter description of each VR control state; obtaining the reliability coefficient loss and reliability coefficient depolarization processing results described by the control parameters of each VR control state by combining the reliability coefficient statistical results and the designated judgment values; and obtaining the dynamic index through the reliability coefficient loss and the reliability coefficient depolarization processing result.
For example, the confidence coefficient statistics may be understood as a confidence distribution. The specified determination value may be understood as a preset threshold value. The loss of confidence coefficient can be understood as a confidence deviation. The confidence coefficient depolarization processing result can be understood as confidence coefficient average value. Therefore, the precision and the reliability of the optimization operation can be guaranteed by combining the provided specific dynamic index optimization operation idea.
And step 122, taking the dynamic index described by the control parameter of each VR control state as the optimized reference index of each VR control state. By way of example, the optimization reference index may be understood as a smoothing parameter.
And 123, optimizing the control parameter items in the control parameter description of each VR control state based on the optimized reference index of the VR control state to obtain the optimized control parameter description of each VR control state.
In this way, the activation region described by the control parameter of the VR control state can be increased through dynamic index optimization operation, and then local VR event tag disturbance based on VR event tag distribution is avoided.
In some examples, the obtaining of the significant interaction data set for each VR control state from the optimized control parameter description for each VR control state and the simulation module historical communication log recorded in step 12 may include steps 124 and 125.
And step 124, obtaining a differential ecological operation description in the optimized control parameter description of each VR control state.
And step 125, obtaining the significance interaction data characteristics in the differentiated ecological operation description of each VR control state through setting strategies and the historical communication records of the simulation module, and forming significance data distribution by combining the significance interaction data characteristics of all VR control states.
In the embodiment of the present application, the setting policy may be understood as a preset algorithm. The prominent interaction data feature may be understood as a more hot interaction data feature. The significant data distribution can be understood as a data distribution with a higher heat. Therefore, the weight of the significant identification information can be accurately and completely reflected through the significant data distribution.
For example, the quantitative indication may be understood as a multidimensional numerical matrix for generating communication guidance information, based on which, the current communication guidance information may be understood as guidance information for guiding the VR ecological simulation module to communicate, such as guidance on when and how the VR ecological simulation module communicates, so as to ensure quality and stability of VR interactive communication.
In some embodiments, the step 13 recording the significance interaction data set of each VR control state to obtain a quantitative indication may exemplarily include the technical solutions recorded in the steps 131 to 134.
And step 131, obtaining a VR control state significance index through significant interaction data characteristics in the differentiated ecological operation description of each VR control state.
For example, the VR control state significance index may be understood as a characteristic value of the VR control state.
And 132, obtaining VR control state evaluation of the control parameter item of each control parameter item in the historical communication record of the simulation module.
For example, the VR control state evaluation may be understood as a classification value of the VR control state.
And step 133, obtaining the VR control state significance index weighting results of all VR control states.
And step 134, combining the VR control state evaluation of the control parameter item and the VR control state significance index weighting result to obtain the quantitative indication.
In the embodiment of the present application, the weight of each tag information of each VR control state can be efficiently determined by quantitative indication.
In some embodiments, the step 13 recording the significant interaction data set in combination with the VR control state and the quantitative indication to generate the current communication guidance information may include the following: and carrying out fusion processing on the members of the significant data distribution and the members of the quantitative indication according to the characteristic focus points of the historical communication records of the simulation module so as to generate the current communication guide information. By way of example, a feature focus may be understood as a channel dimension. The members of the significance data distribution may be understood as elements in the significance data distribution. By the design, fusion processing can be performed by combining members (elements) in the quantitative indication, so that the integrity of the current communication guidance information is guaranteed.
In some examples, the method may further comprise: and performing dimensionless simplification processing on the VR event label distribution. Wherein the dimensionless reduction process may be a normalization process. Based on this, the step of decomposing the VR event tag distribution to obtain control parameter descriptions of several VR control states may exemplarily include: and disassembling the VR event label distribution after dimension reduction to obtain control parameter descriptions of a plurality of VR control states. By the design, the distribution integrity of the VR event labels subjected to dimension reduction processing can be guaranteed.
In some examples, the method may further include the technical solutions recorded in steps 201 to 203.
Step 201, loading the current communication guidance information to a designated information processing network, and obtaining a cost function output result obtained by debugging the current communication guidance information.
And 202, processing the output result of the cost function in a specified mode on the basis that the output result of the cost function is smaller than the set cost result.
And 203, debugging the specified information processing network through the processed cost function output result.
In the embodiment of the present invention, the cost function output result may be understood as a loss average. The specified information processing network may be understood as a neural network model (such as CNN). The specifying means may be a policy or idea set in advance. By implementing the recorded contents of steps 201-203, the error of the current communication guide information can be improved by optimizing the cost function output result of the information processing network
In the implementation of the present invention, the processing of the cost function output result in a specified manner may include one of the following: on the basis that the output result of the cost function is not less than a specified judgment value, the output result of the cost function is adjusted to the specified judgment value; updating the cost function output result through the specified judgment value; and adjusting the output result of the cost function to a default value on the basis that the output result of the cost function is not less than the specified judgment value. Thus, the operation stability of the information processing network can be improved by adjusting the information processing network
In some examples, the VR ecological simulation module communication connection method may further include: obtaining the current communication guide information generated by the appointed information processing network; and taking the generated current communication guide information as input information for the next debugging of the specified information processing network. By adopting the above design, the derived information of the information processing network is imported as the current communication guidance information, so that the reliability of network training can be improved.
In summary, when the technical solutions recorded in steps 11 and 13 are implemented, the VR system obtains the historical communication records of the simulation modules and the VR event tag distribution of the historical communication records of the simulation modules; decomposing the distribution of VR event labels to obtain control parameter descriptions of a plurality of VR control states; performing dynamic index optimization operation on the control parameter description of each VR control state to obtain the optimized control parameter description of each VR control state; obtaining a significant interaction data set of each VR control state through the optimized control parameter description of each VR control state and the historical communication record of the simulation module; obtaining a quantitative indication from the significant interaction dataset for each VR control state; current communication guidance information is generated based on the salient interaction data sets and the quantitative indications for each VR control state. The VR ecological simulation module communication connection method can be combined with dynamic indexes to carry out optimization operation on the control parameter description of each VR control state, so that the significance interaction data set of each VR control state is accurately positioned, current communication guide information can be accurately and reliably generated based on the significance interaction data set and the obtained quantitative indication, communication connection processing of a VR system and a VR ecological simulation module is efficiently and stably achieved through the current communication guide information, rapid communication interaction between the VR ecological simulation module and VR scene equipment is achieved, and a stable and reliable immersive VR scene is built.
Based on the same or similar inventive concepts, the embodiment of the present application further provides an architectural diagram of an application environment 30 of a VR ecological simulation module communication connection method, including a VR system 10 and a VR ecological simulation module 20 that communicate with each other, and the VR system 10 and the VR ecological simulation module 20 implement or partially implement the technical solution described in the above method embodiment when running.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a media service server 10, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A VR ecological simulation module communication connection method is applied to a VR system, and at least comprises the following steps:
acquiring simulation module historical communication records and VR event label distribution of the simulation module historical communication records; decomposing the VR event label distribution to obtain control parameter descriptions of a plurality of VR control states;
performing dynamic index optimization operation on the control parameter description of each VR control state to obtain the optimized control parameter description of each VR control state; obtaining a significant interaction data set of each VR control state through the optimized control parameter description of each VR control state and the historical communication record of the simulation module;
obtaining a quantitative indication from the significant interaction dataset for each VR control state; generating current communication guidance information in conjunction with the significant interaction data set for each VR control state and the quantitative indication.
2. The method of claim 1, wherein performing a dynamic index optimization operation on the control parameter description for each VR control state to obtain an optimized control parameter description for each VR control state comprises:
obtaining a dynamic index described by the control parameter of each VR control state;
taking the dynamic index described by the control parameter of each VR control state as the optimized reference index of each VR control state;
optimizing the control parameter items in the control parameter description of each VR control state based on the optimized reference index of the VR control state to obtain the optimized control parameter description of each VR control state;
the obtaining of the dynamic index described by the control parameter of each VR control state comprises:
obtaining a credibility coefficient statistical result of the control parameter description of each VR control state;
obtaining the reliability coefficient loss and reliability coefficient depolarization processing results described by the control parameters of each VR control state by combining the reliability coefficient statistical results and the designated judgment values;
and obtaining the dynamic index through the reliability coefficient loss and the reliability coefficient depolarization processing result.
3. The VR ecology simulation module communication connection method of claim 2, wherein obtaining a significant interaction dataset for each VR control state from the optimized control parameter description for each VR control state and the simulation module historical communication record comprises:
obtaining a differentiated ecological operation description in the optimized control parameter description of each VR control state;
and obtaining the significance interaction data characteristics in the differentiated ecological operation description of each VR control state through setting strategies and historical communication records of the simulation module, and forming significance data distribution by combining the significance interaction data characteristics of all VR control states.
4. The VR ecology simulation module communication connection method of claim 3, wherein obtaining a quantitative indication from the significant interaction dataset for each VR control state comprises:
obtaining a VR control state significance index through significance interaction data characteristics in the differentiated ecological operation description of each VR control state;
obtaining VR control state evaluation of the control parameter item of each control parameter item in the historical communication record of the simulation module;
obtaining VR control state significance index weighting results of all VR control states;
and obtaining the quantitative indication by combining the VR control state evaluation of the control parameter item and the VR control state significance index weighting result.
5. The VR ecological simulation module communication connection method of claim 4, wherein the generating current communication guidance information in combination with the significant interaction data set and the quantitative indication for each VR control state includes:
and carrying out fusion processing on the members of the significant data distribution and the members of the quantitative indication according to the characteristic focus points of the simulation module historical communication records so as to generate the current communication guide information.
6. The VR ecological simulation module communication connection method of claim 2, further comprising: performing dimensionless simplification processing on the VR event label distribution;
the step of splitting the VR event label distribution to obtain control parameter descriptions of a plurality of VR control states includes: and disassembling the VR event label distribution after dimension reduction to obtain control parameter descriptions of a plurality of VR control states.
7. The VR ecological emulation module communication connection method of claim 2, further comprising:
loading the current communication guide information to a designated information processing network, and obtaining a cost function output result obtained by debugging the current communication guide information;
on the basis that the cost function output result is smaller than the set cost result, processing the cost function output result in a specified mode;
and debugging the specified information processing network through the processed cost function output result.
8. The VR ecological simulation module communication connection method of claim 7, wherein the processing the cost function output results in a specified manner includes one of:
on the basis that the output result of the cost function is not less than a specified judgment value, the output result of the cost function is adjusted to the specified judgment value;
updating the cost function output result through the specified judgment value;
and adjusting the output result of the cost function to a default value on the basis that the output result of the cost function is not less than the specified judgment value.
9. The VR ecological emulation module communication connection method of claim 7, further comprising:
obtaining current communication guide information generated by the specified information processing network;
and taking the generated current communication guide information as input information of the next debugging of the specified information processing network.
10. A VR system comprising a processor and a memory; the processor is connected in communication with the memory, and the processor is configured to read the computer program from the memory and execute the computer program to implement the method of any one of claims 1 to 9.
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