VR low-code module establishment control method and system

Abstract

The VR low-code module establishment control method and system of the present invention, after determining the VR ecological element data set, can introduce the adversarial element data set for joint analysis, and use the VR ecological element processing thread to perform attribute mining processing, so that the attribute distribution of the VR ecological element data set and the adversarial element data set can be used to determine the retrieval heat corresponding to the VR ecological element data, thereby determining the element retrieval result of the VR ecological element data set with the help of the retrieval heat. In view of the large scale of the VR ecological element data set, the above-mentioned ideas can be used to accurately and quickly locate the retrieval heat corresponding to the VR ecological element data, thereby using the element retrieval results to quickly retrieve the required ecological elements from the VR ecological element data set, thereby realizing rapid VR ecological scene simulation processing.

Description

Technical Field

[0001] The present invention relates to the field of virtual reality technology, and in particular to a VR low-code module establishment control method and system. Background Art

[0002] Currently, establishing VR ecosystems is crucial for ensuring the quality of VR simulations. To provide users with VR ecosystems that are as realistic and immersive as possible, achieving high-quality VR ecosystems is crucial. VR ecosystem elements (such as sound, light, electricity, and heat) are crucial components of VR ecosystems and play a crucial role in their construction. However, the rapid and accurate deployment of these elements remains a difficult technical challenge for establishing diverse VR ecosystems, hindering the rapid simulation of VR ecosystems to a certain extent. Summary of the Invention

[0003] In order to improve the technical problems existing in the relevant technologies, the present invention provides a VR low-code module establishment control method and system.

[0004] In a first aspect, an embodiment of the present invention provides a VR low-code module establishment control method, which is applied to a VR control system, and the method includes:

[0005] Determining a VR ecological element data set, where the VR ecological element data set includes multiple sets of VR ecological element data that are related to each other;

[0006] Determine a confrontation element dataset in combination with the VR ecological element dataset, wherein the confrontation element dataset includes a plurality of sets of confrontation element data that are correlated with each other;

[0007] Using the VR ecological element data set, with the help of a first attribute analysis sub-thread covered by the VR ecological element processing thread, a VR ecological element attribute distribution set is determined, wherein the VR ecological element attribute distribution set includes multiple VR ecological element attribute distributions;

[0008] Using the antagonistic element data set, with the aid of a second attribute analysis sub-thread covered by the VR ecological element processing thread, determining an antagonistic element attribute distribution set, wherein the antagonistic element attribute distribution set includes a plurality of antagonistic element attribute distributions;

[0009] Using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set, and with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, determine the retrieval heat corresponding to the VR ecological element data;

[0010] The element retrieval result of the VR ecological element dataset is determined in combination with the retrieval heat.

[0011] In some optional embodiments, the determining of the retrieval heat corresponding to the VR ecological element data by using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set and by means of the semantic recognition sub-thread covered by the VR ecological element processing thread includes:

[0012] Determine, by using the VR ecological element attribute distribution set and with the aid of a first environment-focused sub-thread covered by the VR ecological element processing thread, a plurality of first element expressions, each first element expression corresponding to a VR ecological element attribute distribution;

[0013] Using the antagonistic element attribute distribution set, a plurality of second element expressions are determined with the aid of a second environment attention sub-thread covered by the VR ecological element processing thread, each second element expression corresponding to a antagonistic element attribute distribution;

[0014] Connecting the plurality of first element expressions and the plurality of second element expressions to obtain a plurality of target element expressions, each target element expression including a first element expression and a second element expression;

[0015] The multiple target element expressions are used to determine the retrieval heat corresponding to the VR ecological element data with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread.

[0016] In some optional embodiments, the determining of a plurality of first element expressions by using the VR ecological element attribute distribution set and a first environment-focused sub-thread covered by the VR ecological element processing thread includes:

[0017] For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, determining a first relevant downsampling attribute distribution by means of a relevant downsampling module covered by the first environmental concern sub-thread, the first environmental concern sub-thread belonging to the VR ecological element processing thread;

[0018] For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, determine a first global downsampling attribute distribution with the help of a global downsampling module covered by the first environment attention sub-thread;

[0019] For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, using the first relevant downsampled attribute distribution and the first global downsampled attribute distribution, and with the help of a sliding window covered by the first environmental attention sub-thread, determining a first multimodal attribute distribution;

[0020] Regarding each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, the first multimodal attribute distribution and the VR ecological element attribute distribution are utilized, and the first element expression is determined with the help of the first global downsampling module covered by the first environment attention sub-thread.

[0021] In some optional embodiments, the determining of a plurality of second element expressions using the adversarial element attribute distribution set and a second environment focus sub-thread covered by the VR ecological element processing thread includes:

[0022] For each group of antagonistic element attribute distributions in the antagonistic element attribute distribution set, determining a second relevant downsampling attribute distribution by means of a relevant downsampling module covered by the second environmental attention sub-thread, the second environmental attention sub-thread belonging to the VR ecological element processing thread;

[0023] For each group of adversarial element attribute distributions in the adversarial element attribute distribution set, determining a second global downsampling attribute distribution by means of a global downsampling module covered by the second environment attention sub-thread;

[0024] For each group of adversarial element attribute distributions in the adversarial element attribute distribution set, using the second relevant downsampled attribute distribution and the second global downsampled attribute distribution, and with the help of a sliding window covered by the second environmental attention sub-thread, determining a second multimodal attribute distribution;

[0025] Regarding each group of adversarial element attribute distributions in the adversarial element attribute distribution set, the second multimodal attribute distribution and the adversarial element attribute distribution are utilized to determine a second element expression with the help of a second global downsampling module covered by the second environment attention sub-thread.

[0026] In some optional embodiments, the determining of the retrieval heat corresponding to the VR ecological element data by using the multiple target element expressions and the semantic recognition sub-thread covered by the VR ecological element processing thread includes:

[0027] Determining a multimodal element expression using the plurality of target element expressions and a priority attention sub-thread covered by the VR ecological element processing thread, wherein the multimodal element expression is determined by combining the plurality of target element expressions and a plurality of popularity indexes, each target element expression corresponding to a popularity index;

[0028] The multimodal element expression is used, and with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, the retrieval heat corresponding to the VR ecological element data is determined.

[0029] In some optional embodiments, the determining of the multimodal element expression by using the multiple target element expressions and the priority attention sub-threads covered by the VR ecological element processing thread includes:

[0030] Determining a plurality of first-stage element expressions using the plurality of target element expressions and first-stage thread nodes covered by the priority-focused sub-thread, wherein the priority-focused sub-thread belongs to the VR ecological element processing thread;

[0031] Determine a plurality of second-stage element expressions by using the plurality of first-stage element expressions and with the aid of the second-stage thread nodes covered by the priority-focused sub-thread;

[0032] Determining a plurality of popularity indices based on the plurality of second-stage element expressions, each popularity index corresponding to a target element expression;

[0033] The multimodal element expression is determined by combining the multiple target element expressions and the multiple popularity indexes.

[0034] In some optional embodiments, the determining of the retrieval heat corresponding to the VR ecological element data by using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set and by means of the semantic recognition sub-thread covered by the VR ecological element processing thread includes:

[0035] Using the VR ecological element attribute distribution set, a plurality of first element expressions are determined with the help of a first global downsampling module covered by the VR ecological element processing thread, each first element expression corresponding to a VR ecological element attribute distribution;

[0036] Using the antagonistic element attribute distribution set, a second global downsampling module covered by the VR ecological element processing thread is used to determine a plurality of second element expressions, each second element expression corresponding to an antagonistic element attribute distribution;

[0037] Connecting the plurality of first element expressions and the plurality of second element expressions to obtain a plurality of target element expressions, each target element expression including a first element expression and a second element expression;

[0038] Determining a multimodal element expression using the plurality of target element expressions and a priority attention sub-thread covered by the VR ecological element processing thread, wherein the multimodal element expression is determined by combining the plurality of target element expressions and a plurality of popularity indexes, each target element expression corresponding to a popularity index;

[0039] The multimodal element expression is used, and with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, the retrieval heat corresponding to the VR ecological element data is determined.

[0040] In some optional embodiments, determining the adversarial element dataset in combination with the VR ecological element dataset includes:

[0041] For each set of VR ecological element data in the VR ecological element data set, determining a first antagonistic element distribution, a second antagonistic element distribution, and a third antagonistic element distribution by means of a data cleaning thread;

[0042] Combine the first confrontation element distribution, the second confrontation element distribution, and the third confrontation element distribution corresponding to each set of VR ecological element data to generate the confrontation element data corresponding to each set of VR ecological element data.

[0043] In a second aspect, the present invention further provides a VR control system comprising a processor and a memory; the processor and the memory are communicatively connected, and the processor is configured to read and execute a computer program from the memory to implement the above-described method.

[0044] In a third aspect, the present invention further provides a readable storage medium having a program stored thereon, which implements the above method when executed by a processor.

[0045] Applied to the embodiment of the present invention, after determining the VR ecological element data set, the adversarial element data set can be introduced for joint analysis, and attribute mining processing can be performed with the help of the VR ecological element processing thread. In this way, the attribute distribution of the VR ecological element data set and the adversarial element data set can be used to determine the retrieval heat corresponding to the VR ecological element data set, and thus the element retrieval result of the VR ecological element data set can be determined with the help of the retrieval heat. Given the large scale of the VR ecological element data set, the above ideas can be used to accurately and quickly locate the retrieval heat corresponding to the VR ecological element data, so that the required ecological elements can be quickly retrieved from the VR ecological element data set with the help of the element retrieval result, thereby realizing rapid VR ecological scene simulation processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0047] Figure 1 Schematic diagram of the hardware structure of a VR control system provided by an embodiment of the present invention.

[0048] Figure 2 This is a flow chart of a VR low-code module establishment control method provided by an embodiment of the present invention.

[0049] Figure 3This is a communication architecture diagram of an application environment for a VR low-code module establishment control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0051] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0052] The method embodiments provided in the embodiments of the present invention can be executed in a VR control system, a computer device or a similar computing device. Taking running on a VR control system as an example, Figure 1 This is a hardware structure diagram of a VR control system that implements a VR low-code module control method according to an embodiment of the present invention. Figure 1 As shown, the VR control system 10 may include one or more ( Figure 1 Only one is shown in the figure) processor 102 (processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data. Optionally, the VR control system may also include a transmission device 106 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the VR control system. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0053] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as a computer program corresponding to a VR low-code module establishment control method in an embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implementing the above-mentioned method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories may be connected to the VR control system 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0054] The transmission device 106 is used to receive or transmit data via a network. A specific example of such a network may include a wireless network provided by the communications provider of the VR control system 10. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the internet. In one embodiment, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the internet wirelessly.

[0055] Based on this, see Figure 2 , Figure 2 This is a flow chart of a VR low-code module establishment control method provided by an embodiment of the present invention. The method is applied to a VR control system. Further, the method may at least include the technical solutions recorded in the following steps.

[0056] S1. Determine a VR ecological element data set, where the VR ecological element data set includes multiple sets of VR ecological element data that are related to each other.

[0057] S2. Determine a confrontation element dataset based on the VR ecological element dataset, where the confrontation element dataset includes multiple sets of confrontation element data that are related to each other.

[0058] In some possible embodiments, determining the antagonistic element data set in combination with the VR ecological element data set includes: determining a first antagonistic element distribution, a second antagonistic element distribution, and a third antagonistic element distribution for each group of VR ecological element data in the VR ecological element data set with the help of a data cleaning thread; and generating antagonistic element data corresponding to each group of VR ecological element data by combining the first antagonistic element distribution, the second antagonistic element distribution, and the third antagonistic element distribution corresponding to each group of VR ecological element data.

[0059] S3. Using the VR ecological element data set, with the help of the first attribute analysis sub-thread covered by the VR ecological element processing thread, determine a VR ecological element attribute distribution set, where the VR ecological element attribute distribution set includes multiple VR ecological element attribute distributions.

[0060] S4. Using the antagonistic element data set, with the aid of a second attribute analysis sub-thread covered by the VR ecological element processing thread, determine an antagonistic element attribute distribution set, where the antagonistic element attribute distribution set includes multiple antagonistic element attribute distributions.

[0061] S5. Using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set, with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, determine the retrieval heat corresponding to the VR ecological element data.

[0062] In some possible embodiments, the method described in S5, which utilizes the VR ecological element attribute distribution set and the antagonistic element attribute distribution set, and determines the retrieval heat corresponding to the VR ecological element data with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, can be implemented through the technical solution described in S51-S54.

[0063] S51. Utilize the VR ecological element attribute distribution set and, with the aid of a first environment attention sub-thread covered by the VR ecological element processing thread, determine a plurality of first element expressions, each first element expression corresponding to a VR ecological element attribute distribution.

[0064] Under some optional design ideas, the method described in S51 of utilizing the VR ecological element attribute distribution set and determining multiple first element expressions with the help of the first environment attention sub-thread covered by the VR ecological element processing thread may include S511-S514.

[0065] S511. For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, determine a first relevant downsampling attribute distribution with the help of a relevant downsampling module covered by the first environmental attention sub-thread, and the first environmental attention sub-thread belongs to the VR ecological element processing thread.

[0066] S512: For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, determine a first global downsampling attribute distribution with the help of a global downsampling module covered by the first environment attention sub-thread.

[0067] S513. For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, use the first relevant down-sampling attribute distribution and the first global down-sampling attribute distribution, and determine a first multimodal attribute distribution with the help of a sliding window covered by the first environmental attention sub-thread.

[0068] S514. For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, using the first multimodal attribute distribution and the VR ecological element attribute distribution, with the help of the first global downsampling module covered by the first environmental attention sub-thread, determine a first element expression.

[0069] Applied to S511-S514, it is possible to minimize the error in the expression of the first element.

[0070] S52. Utilize the antagonistic element attribute distribution set and, with the aid of a second environment focus sub-thread covered by the VR ecological element processing thread, determine a plurality of second element expressions, each second element expression corresponding to an antagonistic element attribute distribution.

[0071] Under some optional design ideas, the method described in S52 of utilizing the counter-element attribute distribution set and determining multiple second element expressions with the help of the second environment attention sub-thread covered by the VR ecological element processing thread may include S521-S524.

[0072] S521. For each group of antagonistic element attribute distributions in the antagonistic element attribute distribution set, determine a second relevant downsampling attribute distribution with the help of the relevant downsampling module covered by the second environmental attention sub-thread, and the second environmental attention sub-thread belongs to the VR ecological element processing thread.

[0073] S522: For each group of adversarial element attribute distributions in the adversarial element attribute distribution set, determine a second global downsampling attribute distribution with the help of the global downsampling module covered by the second environment attention sub-thread.

[0074] S523. For each group of adversarial element attribute distributions in the adversarial element attribute distribution set, the second relevant down-sampling attribute distribution and the second global down-sampling attribute distribution are used to determine the second multimodal attribute distribution with the help of the sliding window covered by the second environmental attention sub-thread.

[0075] S524. Regarding each group of adversarial element attribute distributions in the adversarial element attribute distribution set, using the second multimodal attribute distribution and the adversarial element attribute distribution, with the help of the second global downsampling module covered by the second environment attention sub-thread, determine the second element expression.

[0076] Applied to S521-S524, it is possible to minimize the error in expressing the second element.

[0077] S53: Connect the multiple first element expressions and the multiple second element expressions to obtain multiple target element expressions, each target element expression including a first element expression and a second element expression.

[0078] S54: Utilize the multiple target element expressions and, with the aid of the semantic recognition sub-thread covered by the VR ecological element processing thread, determine the retrieval heat corresponding to the VR ecological element data.

[0079] Under some design ideas, the use of the multiple target element expressions and the semantic recognition sub-thread covered by the VR ecological element processing thread to determine the retrieval heat corresponding to the VR ecological element data include: using the multiple target element expressions and the priority attention sub-thread covered by the VR ecological element processing thread to determine the multimodal element expression, the multimodal element expression is determined by combining the multiple target element expressions and multiple popularity indexes, and each target element expression corresponds to a popularity index; using the multimodal element expression and the semantic recognition sub-thread covered by the VR ecological element processing thread to determine the retrieval heat corresponding to the VR ecological element data.

[0080] Furthermore, the method of using the multiple target element expressions and the priority attention sub-threads covered by the VR ecological element processing thread to determine the multimodal element expression includes: using the multiple target element expressions and the first-stage thread nodes covered by the priority attention sub-thread to determine multiple first-stage element expressions, the priority attention sub-thread belonging to the VR ecological element processing thread; using the multiple first-stage element expressions and the second-stage thread nodes covered by the priority attention sub-thread to determine multiple second-stage element expressions; combining the multiple second-stage element expressions to determine multiple popularity indexes, each popularity index corresponding to a target element expression; combining the multiple target element expressions and the multiple popularity indexes to determine the multimodal element expression. This design can ensure the richness of the multimodal element expression as much as possible.

[0081] In this way, applying S51-S54 can accurately and in real time determine the retrieval heat corresponding to the VR ecological element data.

[0082] For some other possible design ideas, the use of the VR ecological element attribute distribution set and the confrontation element attribute distribution set described in S5, with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread to determine the retrieval heat corresponding to the VR ecological element data, can also be achieved through the following technical solutions: using the VR ecological element attribute distribution set, with the help of the first global downsampling module covered by the VR ecological element processing thread to determine multiple first element expressions, each first element expression corresponds to a VR ecological element attribute distribution; using the confrontation element attribute distribution set, with the help of the second global downsampling module covered by the VR ecological element processing thread to determine multiple second element expressions, each second element The expression corresponds to an adversarial element attribute distribution; the multiple first element expressions and the multiple second element expressions are connected and processed to obtain multiple target element expressions, each target element expression includes a first element expression and a second element expression; using the multiple target element expressions, with the help of the priority attention sub-thread covered by the VR ecological element processing thread, a multimodal element expression is determined, the multimodal element expression is determined by combining the multiple target element expressions and multiple popularity indexes, and each target element expression corresponds to a popularity index; using the multimodal element expression, with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, the retrieval heat corresponding to the VR ecological element data is determined.

[0083] S6. Determine an element retrieval result of the VR ecological element dataset based on the retrieval popularity.

[0084] Furthermore, the corresponding VR ecological elements can be retrieved from the VR ecological element data set through the element retrieval results to perform VR ecological simulation. After determining the VR ecological element data set, the adversarial element data set can be introduced for joint analysis, and attribute mining can be performed with the help of the VR ecological element processing thread. In this way, the attribute distribution of the VR ecological element data set and the adversarial element data set can be used to determine the retrieval heat corresponding to the VR ecological element data, and then the element retrieval results of the VR ecological element data set can be determined with the help of the retrieval heat. Given the large scale of the VR ecological element data set, the above ideas can be used to accurately and quickly locate the retrieval heat corresponding to the VR ecological element data, so that the required ecological elements can be quickly retrieved from the VR ecological element data set with the help of the element retrieval results, thereby realizing rapid VR ecological scene simulation processing.

[0085] Based on the same or similar inventive concepts mentioned above, an embodiment of the present invention also provides an architectural diagram of an application environment 30 for establishing a control method for a VR low-code module, including a VR control system 10 and a VR ecological module 20 that communicate with each other. The VR control system 10 and the VR ecological module 20 implement or partially implement the technical solution described in the above method embodiment during operation.

[0086] Furthermore, a readable storage medium is provided, on which a program is stored, and the program implements the above method when executed by a processor.

[0087] In the several embodiments provided in the embodiments of the present invention, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device and method embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of the devices, methods, and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or part of the code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, as well as the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified functions or actions, or can be implemented using a combination of dedicated hardware and computer instructions.

[0088] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0089] If the functions are implemented as software modules and sold or used as standalone products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, a media service server 10, or a network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks. It should be noted that, in this document, the terms "comprise," "include," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. Without further constraints, an element defined by the phrase "comprises a..." does not preclude the existence of additional identical elements in the process, method, article or apparatus that includes the element.

[0090] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A VR low-code module establishment control method, characterized in that: Applied to a VR control system, the method includes: Determining a VR ecological element data set, where the VR ecological element data set includes multiple sets of VR ecological element data that are related to each other; Determine a confrontation element dataset in combination with the VR ecological element dataset, wherein the confrontation element dataset includes a plurality of sets of confrontation element data that are correlated with each other; Using the VR ecological element data set, with the help of a first attribute analysis sub-thread covered by the VR ecological element processing thread, a VR ecological element attribute distribution set is determined, wherein the VR ecological element attribute distribution set includes multiple VR ecological element attribute distributions; Using the antagonistic element data set, with the aid of a second attribute analysis sub-thread covered by the VR ecological element processing thread, determining an antagonistic element attribute distribution set, wherein the antagonistic element attribute distribution set includes a plurality of antagonistic element attribute distributions; Using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set, and with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, determine the retrieval heat corresponding to the VR ecological element data; The element retrieval result of the VR ecological element dataset is determined in combination with the retrieval heat.

2. The method according to claim 1, wherein: The method of using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set and determining the retrieval heat corresponding to the VR ecological element data with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread includes: Determine, by using the VR ecological element attribute distribution set and with the aid of a first environment-focused sub-thread covered by the VR ecological element processing thread, a plurality of first element expressions, each first element expression corresponding to a VR ecological element attribute distribution; Using the antagonistic element attribute distribution set, a plurality of second element expressions are determined with the aid of a second environment attention sub-thread covered by the VR ecological element processing thread, each second element expression corresponding to a antagonistic element attribute distribution; Connecting the plurality of first element expressions and the plurality of second element expressions to obtain a plurality of target element expressions, each target element expression including a first element expression and a second element expression; The multiple target element expressions are used to determine the retrieval heat corresponding to the VR ecological element data with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread.

3. The method according to claim 2, wherein: The method of determining a plurality of first element expressions by using the VR ecological element attribute distribution set and the first environment attention sub-thread covered by the VR ecological element processing thread includes: For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, determining a first relevant downsampling attribute distribution by means of a relevant downsampling module covered by the first environmental concern sub-thread, the first environmental concern sub-thread belonging to the VR ecological element processing thread; For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, determine a first global downsampling attribute distribution with the help of a global downsampling module covered by the first environment attention sub-thread; For each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, using the first relevant downsampled attribute distribution and the first global downsampled attribute distribution, and with the help of a sliding window covered by the first environmental attention sub-thread, determining a first multimodal attribute distribution; Regarding each group of VR ecological element attribute distributions in the VR ecological element attribute distribution set, the first multimodal attribute distribution and the VR ecological element attribute distribution are utilized, and the first element expression is determined with the help of the first global downsampling module covered by the first environment attention sub-thread.

4. The method according to claim 2, wherein: The method of using the antagonistic element attribute distribution set and determining a plurality of second element expressions with the aid of a second environment focus sub-thread covered by the VR ecological element processing thread includes: For each group of antagonistic element attribute distributions in the antagonistic element attribute distribution set, determining a second relevant downsampling attribute distribution by means of a relevant downsampling module covered by the second environmental attention sub-thread, the second environmental attention sub-thread belonging to the VR ecological element processing thread; For each group of adversarial element attribute distributions in the adversarial element attribute distribution set, determining a second global downsampling attribute distribution by means of a global downsampling module covered by the second environment attention sub-thread; For each group of adversarial element attribute distributions in the adversarial element attribute distribution set, using the second relevant downsampled attribute distribution and the second global downsampled attribute distribution, and with the help of a sliding window covered by the second environmental attention sub-thread, determining a second multimodal attribute distribution; Regarding each group of adversarial element attribute distributions in the adversarial element attribute distribution set, the second multimodal attribute distribution and the adversarial element attribute distribution are utilized to determine a second element expression with the help of a second global downsampling module covered by the second environment attention sub-thread.

5. The method according to claim 2, wherein: The using the multiple target element expressions and determining the retrieval heat corresponding to the VR ecological element data with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread includes: Determining a multimodal element expression using the plurality of target element expressions and a priority attention sub-thread covered by the VR ecological element processing thread, wherein the multimodal element expression is determined by combining the plurality of target element expressions and a plurality of popularity indexes, each target element expression corresponding to a popularity index; The multimodal element expression is used, and with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, the retrieval heat corresponding to the VR ecological element data is determined.

6. The method according to claim 5, wherein: The method of utilizing the multiple target element expressions and determining the multimodal element expression with the help of the priority attention sub-threads covered by the VR ecological element processing thread includes: Determining a plurality of first-stage element expressions using the plurality of target element expressions and first-stage thread nodes covered by the priority-focused sub-thread, wherein the priority-focused sub-thread belongs to the VR ecological element processing thread; Determine a plurality of second-stage element expressions by using the plurality of first-stage element expressions and with the aid of the second-stage thread nodes covered by the priority-focused sub-thread; Determining a plurality of popularity indices based on the plurality of second-stage element expressions, each popularity index corresponding to a target element expression; The multimodal element expression is determined by combining the multiple target element expressions and the multiple popularity indexes.

7. The method according to claim 1, wherein: The method of using the VR ecological element attribute distribution set and the antagonistic element attribute distribution set and determining the retrieval heat corresponding to the VR ecological element data with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread includes: Using the VR ecological element attribute distribution set, a plurality of first element expressions are determined with the help of a first global downsampling module covered by the VR ecological element processing thread, each first element expression corresponding to a VR ecological element attribute distribution; Using the antagonistic element attribute distribution set, a second global downsampling module covered by the VR ecological element processing thread is used to determine a plurality of second element expressions, each second element expression corresponding to an antagonistic element attribute distribution; Connecting the plurality of first element expressions and the plurality of second element expressions to obtain a plurality of target element expressions, each target element expression including a first element expression and a second element expression; Determining a multimodal element expression using the plurality of target element expressions and a priority attention sub-thread covered by the VR ecological element processing thread, wherein the multimodal element expression is determined by combining the plurality of target element expressions and a plurality of popularity indexes, each target element expression corresponding to a popularity index; The multimodal element expression is used, and with the help of the semantic recognition sub-thread covered by the VR ecological element processing thread, the retrieval heat corresponding to the VR ecological element data is determined.

8. The method according to claim 1, wherein: The determining of the adversarial element dataset by combining the VR ecological element dataset includes: For each set of VR ecological element data in the VR ecological element data set, determining a first antagonistic element distribution, a second antagonistic element distribution, and a third antagonistic element distribution by means of a data cleaning thread; Combine the first confrontation element distribution, the second confrontation element distribution, and the third confrontation element distribution corresponding to each set of VR ecological element data to generate the confrontation element data corresponding to each set of VR ecological element data.

9. A VR control system, characterized in that: The system comprises a processor and a memory; the processor and the memory are communicatively connected, and the processor is used to read a computer program from the memory and execute it to implement the method described in any one of claims 1 to 8.

10. A readable storage medium, characterized in that: A program is stored thereon, and when the program is executed by a processor, the method described in any one of claims 1 to 8 is implemented.

Images