A VR Skiing Control Method and System

Abstract

A VR skiing control method and system provided by an embodiment of the present application. Since the quantitative difference between the second skiing control matter information and several first skiing control matter information under a set comparison benchmark does not exceed the set constraint, even if there is interference in the target VR skiing service operation data on the set comparison benchmark, it is also possible to obtain an operation description comparison result that is as accurate as possible based on the mapping situation between the second skiing control matter information and several first skiing control matter information on the set comparison benchmark. As a result, the quantitative common data between the target VR skiing service operation data determined based on this operation description comparison result and the sample VR skiing service operation data is more accurate and reliable, and thus the control strategy of the target VR skiing service operation data determined based on this quantitative common data is more accurate and real-time, significantly improving the accuracy and reliability of determining the target VR skiing control strategy.

Description

Technical Field

[0001] This application relates to the field of VR technology, and particularly to a VR skiing control method and system. Background Art

[0002] Virtual Reality (VR) technology encompasses computer, electronic information, and simulation technologies. Its basic implementation method is for a computer to simulate a virtual environment, thereby giving people a sense of immersion in the environment. With the continuous development of social productivity and science and technology, the demand for VR technology in all walks of life is increasing day by day. VR technology has also made great progress and has gradually become a new field of science and technology.

[0003] Currently, VR technology can be applied to various entertainment-based simulated sports, such as racing, rowing, skiing, etc. Taking VR skiing technology as an example, VR skiing can, to a certain extent, break through time and geographical restrictions, enabling users to experience skiing to a certain extent. However, in the actual application process, how to accurately and reliably determine the control strategy for VR skiing is a technical problem that needs to be improved currently. Summary of the Invention

[0004] To improve the technical problems existing in related technologies, this application provides a VR skiing control method and system.

[0005] According to one aspect of the present disclosure, a VR skiing control method is provided, including: respectively determining a first user operation description of target VR skiing service operation data and a second user operation description of sample VR skiing service operation data, where the target VR skiing service operation data and the sample VR skiing service operation data match the same VR skiing task; based on a number of first skiing control item information in the target VR skiing service operation data and second skiing control item information in the sample VR skiing service operation data, determining a comparison result of the operation descriptions between the second user operation description and the first user operation description, where the quantitative difference between the number of first skiing control item information and the second skiing control item information does not exceed a set constraint under a set comparison benchmark; based on the comparison result of the operation descriptions, determining the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data; and based on the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data, determining the VR skiing control strategy for the target VR skiing service operation data.

[0006] Through the above disclosed embodiments, since the quantitative difference between the second skiing control item information and several first skiing control item information does not exceed the set constraint under the set comparison benchmark, even if there is interference in the target VR skiing service operation data on the set comparison benchmark, it is also possible to obtain an operation description comparison result that is as accurate as possible based on the mapping between the second skiing control item information and several first skiing control item information on the set comparison benchmark. As a result, the quantitative common data between the target VR skiing service operation data determined based on this operation description comparison result and the sample VR skiing service operation data is more accurate and reliable. Therefore, the control strategy for the target VR skiing service operation data determined based on this quantitative common data is more accurate and real-time, significantly improving the accuracy and reliability of determining the target VR skiing control strategy.

[0007] For some possible embodiments, determining the operation description comparison result between the second user operation description and the first user operation description based on several first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data includes: transforming the first user operation description within the set constraint according to at least one state to obtain at least one third user operation description, where the third user operation description includes several first skiing control item information in the target VR skiing service operation data; determining the first transition operation description comparison result between the second user operation description and at least one third user operation description based on the second skiing control item information in the sample VR skiing service operation data; and determining the operation description comparison result between the second user operation description and the first user operation description according to at least one of the first transition operation description comparison results.

[0008] Through the above disclosed embodiments, it is possible to achieve a quantitative comparison between the second user operation description and the first user operation description based on the third user operation description obtained after the transformation of the first user operation description, weakening the influence of problems such as interference in the set comparison benchmark of the target VR skiing service operation data on the accuracy of the operation description comparison result, making the operation description comparison result between the obtained second user operation description and the first user operation description more accurate. As a result, the quantitative common data between the target VR skiing service operation data determined based on this operation description comparison result and the sample VR skiing service operation data is more accurate and reliable, and thus the VR skiing control strategy for the target VR skiing service operation data is determined more accurately and real-time.

[0009] For some possible embodiments, determining the operation description comparison result between the second user operation description and the first user operation description based on several first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data includes: taking no less than one skiing control item information in the sample VR skiing service operation data as the second skiing control item information respectively, and taking no less than one skiing control item information with a distribution quantization difference within a set constraint between the target VR skiing service operation data and the second skiing control item information as the first skiing control item information; obtaining no less than one second transition operation description comparison result based on the user operation description corresponding to the second skiing control item information in the second user operation description and the user operation description corresponding to no less than one of the first skiing control item information in the first user operation description; determining the operation description comparison result of the second skiing control item information based on the no less than one second transition operation description comparison result; and determining the operation description comparison result between the second user operation description and the first user operation description according to the operation description comparison results of no less than one of the second skiing control item information.

[0010] Through the above disclosed embodiments, the user operation descriptions between the second skiing control item information of the sample VR skiing service operation data and several first skiing control item information of the target VR skiing service operation data can be compared one by one within a certain constraint, and the skiing control item information in the target VR skiing service operation data that truly corresponds to the skiing control item information in the sample VR skiing service operation data can be retrieved from the set comparison benchmark interference. Based on the operation description comparison result determined by the truly corresponding skiing control item information, the quantization common data between the target VR skiing service operation data and the sample VR skiing service operation data can be judged more accurately and reliably, so as to identify the control strategy of the target VR skiing service operation data more truly and accurately.

[0011] For some possible embodiments, the first user operation description includes the first user operation description under not less than one configuration, and the second user operation description includes the second user operation description under not less than one configuration; determining the operation description comparison result between the second user operation description and the first user operation description based on some first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data includes: respectively determining the operation description comparison result between the second user operation description under not less than one configuration and the first user operation description with the same configuration based on the second skiing control item information in the sample VR skiing service operation data and some first skiing control item information in the target VR skiing service operation data, so as to obtain the operation description comparison results under not less than one configuration.

[0012] Through the above disclosed embodiments, the accuracy of the quantified common data determined subsequently can be improved by obtaining the operation description comparison results of several configurations, thereby improving the authenticity and accuracy of the VR skiing control strategy of the determined target VR skiing service operation data.

[0013] For some possible embodiments, respectively determining the first user operation description of the target VR skiing service operation data and the second user operation description of the sample VR skiing service operation data includes: inputting the target VR skiing service operation data into a description mining model, and determining the first user operation description of the target VR skiing service operation data under not less than one configuration based on the processing results of not less than one model unit in the description mining model; inputting the sample VR skiing service operation data into the description mining model, and determining the second user operation description of the sample VR skiing service operation data under not less than one configuration based on the processing results of not less than one model unit in the description mining model.

[0014] Through the above disclosed embodiments, on the one hand, the first user operation description and the second user operation description can be accurately and efficiently determined based on the description mining model. On the other hand, through the description mining model, the first user operation description and the second user operation description under not less than one configuration can be obtained, thereby enriching the obtained user operation descriptions.

[0015] For some possible embodiments, determining the quantified common data of the target VR skiing service operation data and the sample VR skiing service operation data based on the operation description comparison result includes: inputting the operation description comparison result into a quantitative analysis model, and determining the quantified common data of the target VR skiing service operation data and the sample VR skiing service operation data based on the processing result of the quantitative analysis model.

[0016] Through the above disclosed embodiments, the operation description comparison results can be processed and calculated efficiently and accurately based on the quantization analysis model, so as to obtain quantization common data with as high accuracy as possible, improving the efficiency, accuracy, and implementation flexibility in the process of determining the target VR skiing control strategy.

[0017] For some possible embodiments, the operation description comparison results include operation description comparison results under not less than one configuration; based on the operation description comparison results, determining the quantization common data between the target VR skiing service operation data and the sample VR skiing service operation data includes: respectively inputting the operation description comparison results under the not less than one configuration into the quantization analysis model to obtain not less than one processing result of the quantization analysis model; globally processing the not less than one processing result of the quantization analysis model, and determining the quantization common data between the target VR skiing service operation data and the sample VR skiing service operation data according to the global processing result.

[0018] Through the above disclosed embodiments, based on the operation description comparison results of the target VR skiing service operation data and the sample VR skiing service operation data under different configurations, several quantization common data of the target VR skiing service operation data and the sample VR skiing service operation data can be obtained respectively, so as to conduct an overall analysis of the quantization common data of the target VR skiing service operation data and the sample VR skiing service operation data according to these several quantization common data, improving the accuracy of the obtained quantization common data, and thus enabling the control strategy of the target VR skiing service operation data to be identified more accurately and in real time.

[0019] For some possible embodiments, the target VR skiing service operation data is obtained by performing preprocessing of VR skiing service operation data on the basic target VR skiing service operation data, and the sample VR skiing service operation data is obtained by performing preprocessing of VR skiing service operation data on the basic sample VR skiing service operation data; the preprocessing of VR skiing service operation data includes: normalization processing and / or data mapping.

[0020] Through the above disclosed embodiments, the obtained target VR skiing service operation data and sample VR skiing service operation data can better meet the requirements of subsequent description mining. On the one hand, it improves the efficiency of the entire VR skiing service operation data processing process, and on the other hand, it can also improve the richness and accuracy of the descriptions obtained from subsequent description mining, thereby improving the accuracy and authenticity of the finally determined target VR skiing control strategy.

[0021] In a second aspect, the present application further provides a VR skiing control system, including 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 method described above. Description of the Drawings

[0022] The drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0023] Figure 1 It is a schematic diagram of the hardware structure of a VR skiing control system provided by an embodiment of the present application.

[0024] Figure 2 It is a schematic flowchart of a VR skiing control method provided by an embodiment of the present application. Detailed Embodiments

[0025] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence.

[0027] The method embodiments provided by the embodiments of the present application can be executed in a VR skiing control system, a computer device, or a similar computing device. Taking running on a VR skiing control system as an example, Figure 1 It is a hardware structure block diagram of a VR skiing control system for implementing a VR skiing control method according to an embodiment of the present application. As Figure 1 shown, the VR skiing control system 10 may include one or more ( Figure 1 only one is shown in the figure) processors 102 (the processors 102 may include, but are not limited to, processing devices such as a microprocessor MCU or a field programmable gate array FPGA) and a memory 104 for storing data. Optionally, the above VR skiing control system may further include a transmission device 106 for communication functions. Those of ordinary skill in the art can understand that Figure 1 the structure shown in the figure is only illustrative and does not limit the structure of the above VR skiing control system. For example, the VR skiing control system 10 may further include more or fewer components than those shown in Figure 1 the figure, or have the same asFigure 1 The different configurations shown.

[0028] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to a VR skiing control method in an embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implements the above 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 memories. In some instances, the memory 104 may further include a memory remotely disposed relative to the processor 102, and these remote memories can be connected to the VR skiing control system 10 through a network. Examples of the above network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and combinations thereof.

[0029] The transmission device 106 is used to receive or send data via a network. Specific examples of the above network may include a wireless network provided by a communication provider of the VR skiing control system 10. In one instance, the transmission device 106 includes a network adapter (abbreviated as NIC), which can be connected to other network devices through a base station and thus can communicate with the Internet. In one instance, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] Based on this, please refer to Figure 2 , Figure 2 is a schematic flowchart of a VR skiing control method provided by an embodiment of the present invention. This method is applied to a VR skiing control system and may further include the technical solutions described below.

[0031] Step 11: Determine the first user operation description of the target VR skiing service operation data and the second user operation description of the sample VR skiing service operation data respectively.

[0032] In an embodiment of the present application, the target VR skiing service operation data and the sample VR skiing service operation data match the same VR skiing task.

[0033] In an alternative embodiment, the step of respectively determining the first user operation description of the target VR skiing service operation data and the second user operation description of the sample VR skiing service operation data described in step 11 may specifically include the content recorded in the following step 111 and step 112.

[0034] Step 111: Input the target VR skiing service operation data into the description mining model, and based on the processing results of not less than one model unit in the description mining model, determine the first user operation descriptions of the target VR skiing service operation data under not less than one configuration.

[0035] Step 112: Input the sample VR skiing service operation data into the description mining model, and based on the processing results of not less than one model unit in the description mining model, determine the second user operation descriptions of the sample VR skiing service operation data under not less than one configuration.

[0036] Executing the content recorded in Step 111 and Step 112, and deeply mining the target VR skiing service operation data through the description mining model can effectively improve the accuracy of the obtained user operation descriptions.

[0037] Step 12: Based on a number of first skiing control item information in the target VR skiing service operation data and second skiing control item information in the sample VR skiing service operation data, determine the operation description comparison result between the second user operation description and the first user operation description.

[0038] In this embodiment, the quantitative difference between the number of first skiing control item information and the second skiing control item information under the set comparison benchmark does not exceed the set constraint.

[0039] In an alternative embodiment, the step 12 of determining the operation description comparison result between the second user operation description and the first user operation description based on a number of first skiing control item information in the target VR skiing service operation data and second skiing control item information in the sample VR skiing service operation data may specifically include the content described in the following steps 121 - 123.

[0040] Step 121: Transform the first user operation description under the set constraint according to not less than one state to obtain not less than one third user operation description, where the third user operation description includes a number of first skiing control item information in the target VR skiing service operation data.

[0041] Step 122: Based on the second skiing control item information in the sample VR skiing service operation data, determine the first transition operation description comparison result between the second user operation description and not less than one third user operation description.

[0042] Step 123: According to not less than one of the first transition operation description comparison results, determine the operation description comparison result between the second user operation description and the first user operation description.

[0043] Performing the operations described in steps 121 - 123 can more accurately and real - time determine the VR skiing control strategy for the target VR skiing service operation data.

[0044] In an alternative embodiment, determining the operation description comparison result between the second user operation description and the first user operation description based on several first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data described in step 12 may specifically further include the content recorded in steps 124 - 127 as follows.

[0045] Step 124: Respectively use no less than one skiing control item information in the sample VR skiing service operation data as the second skiing control item information, and use no less than one skiing control item information in the target VR skiing service operation data with a distribution quantization difference within a set constraint from the second skiing control item information as the first skiing control item information.

[0046] Step 125: Based on the user operation description corresponding to the second skiing control item information in the second user operation description and the user operation descriptions corresponding to no less than one of the first skiing control item information in the first user operation description, obtain no less than one second transition operation description comparison result.

[0047] Step 126: Based on the no less than one second transition operation description comparison result, determine the operation description comparison result of the second skiing control item information.

[0048] Step 127: According to the operation description comparison results of no less than one of the second skiing control item information, determine the operation description comparison result between the second user operation description and the first user operation description.

[0049] Performing the operations recorded in steps 124 - 127 can more truly and accurately identify the control strategy of the target VR skiing service operation data.

[0050] In an alternative embodiment, the first user operation description includes the first user operation description under at least one configuration, and the second user operation description includes the second user operation description under at least one configuration. Based on this, step 12 determines the comparison result of the operation descriptions between the second user operation description and the first user operation description based on several first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data, which may specifically include the following content: Based on the second skiing control item information in the sample VR skiing service operation data and several first skiing control item information in the target VR skiing service operation data, determine the comparison result of the operation descriptions between the second user operation description under the at least one configuration and the first user operation description with the same configuration, and obtain the comparison results of the operation descriptions under the at least one configuration. In this way, by obtaining the comparison results of the operation descriptions of several configurations, the accuracy of the subsequent determined quantitative common data can be improved, thereby improving the authenticity and accuracy of the VR skiing control strategy of the determined target VR skiing service operation data.

[0051] Step 13: Based on the comparison result of the operation descriptions, determine the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data.

[0052] In an alternative embodiment, step 13 of determining the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data based on the comparison result of the operation descriptions may specifically include the following content: Input the comparison result of the operation descriptions into a quantitative analysis model, and based on the processing result of the quantitative analysis model, determine the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data. In this way, the efficiency, accuracy, and implementation flexibility of the process of determining the target VR skiing control strategy are improved.

[0053] In an alternative embodiment, the comparison result of the operation descriptions includes the comparison results of the operation descriptions under at least one configuration. Based on this, step 13 of determining the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data based on the comparison result of the operation descriptions may specifically include the content recorded in step 131 and step 132.

[0054] Step 131: Input the comparison results of the operation descriptions under the at least one configuration into the quantitative analysis model respectively, and obtain the processing results of the at least one quantitative analysis model;

[0055] Step 132: Globalize the processing results of the at least one quantitative analysis model, and determine the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data according to the globalization processing results.

[0056] When performing Step 131 and Step 132, the accuracy of the obtained quantitative common data is improved, so that the control strategy of the target VR skiing service operation data can be identified more accurately and in real time.

[0057] Step 14: Based on the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data, determine the VR skiing control strategy of the target VR skiing service operation data.

[0058] In an alternative embodiment, the target VR skiing service operation data is obtained by preprocessing the basic target VR skiing service operation data for VR skiing service operation data, and the sample VR skiing service operation data is obtained by preprocessing the basic sample VR skiing service operation data for VR skiing service operation data. Further, the preprocessing of the VR skiing service operation data includes at least one of normalization processing and data mapping.

[0059] In summary, since the quantitative difference between the second skiing control item information and a number of first skiing control item information does not exceed the set constraint under the set comparison benchmark, and on the premise that the target VR skiing service operation data has interference on the set comparison benchmark, it is also possible to obtain an operation description comparison result as accurate as possible based on the mapping situation between the second skiing control item information and a number of first skiing control item information on the set comparison benchmark, so that the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data determined based on the operation description comparison result is more accurate and credible, and thus the control strategy of the target VR skiing service operation data determined based on the quantitative common data is more accurate and real-time, significantly improving the accuracy and reliability of determining the target VR skiing control strategy.

[0060] Further, a readable storage medium is also provided, on which a program is stored, and when the program is executed by a processor, the above method is implemented.

[0061] In several embodiments provided by the embodiments of the present application, 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 devices, methods, and computer program products according to multiple embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0062] In addition, the functional modules in each embodiment of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

[0063] When the above-mentioned functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a media service server 10, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs. It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitations, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0064] The foregoing are only the preferred embodiments of this application and are not used to limit this application. For those skilled in the art, this application can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. A VR skiing control method, characterized in that, Applied to a VR skiing control system, the method at least includes: Determine the first user operation description of the target VR skiing service operation data and the second user operation description of the sample VR skiing service operation data respectively, where the target VR skiing service operation data and the sample VR skiing service operation data match the same VR skiing task; Based on a number of first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data, determine the operation description comparison result between the second user operation description and the first user operation description, where the quantitative difference between the number of first skiing control item information and the second skiing control item information does not exceed the set constraint under the set comparison benchmark; Based on the operation description comparison result, determine the quantitative common data of the target VR skiing service operation data and the sample VR skiing service operation data; Based on the quantitative common data of the target VR skiing service operation data and the sample VR skiing service operation data, determine the VR skiing control strategy of the target VR skiing service operation data; The step of respectively determining the first user operation description of the target VR skiing service operation data and the second user operation description of the sample VR skiing service operation data includes: Input the target VR skiing service operation data into the description mining model, and based on the processing results of not less than one model unit in the description mining model, determine the first user operation description of the target VR skiing service operation data under not less than one configuration; Input the sample VR skiing service operation data into the description mining model, and based on the processing results of not less than one model unit in the description mining model, determine the second user operation description of the sample VR skiing service operation data under not less than one configuration; The operation description comparison result includes the operation description comparison results under not less than one configuration; The step of, based on the operation description comparison result, determining the quantitative common data of the target VR skiing service operation data and the sample VR skiing service operation data includes: Input the operation description comparison results under not less than one configuration into the quantitative analysis model respectively to obtain the processing results of not less than one quantitative analysis model; Perform global processing on the processing results of not less than one quantitative analysis model, and determine the quantitative common data of the target VR skiing service operation data and the sample VR skiing service operation data according to the global processing results.

2. The method according to claim 1, characterized in that, The step of, based on a number of first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data, determining the operation description comparison result between the second user operation description and the first user operation description includes: Transform the first user operation description according to no less than one state within the set constraints to obtain no less than one third user operation description, where the third user operation description includes several first skiing control item information in the target VR skiing service operation data; Based on the second skiing control item information in the sample VR skiing service operation data, determine the comparison result of the first transition operation description between the second user operation description and no less than one third user operation description; According to no less than one of the comparison results of the first transition operation description, determine the comparison result of the operation description between the second user operation description and the first user operation description.

3. The method according to claim 1, characterized in that The determining the comparison result of the operation description between the second user operation description and the first user operation description based on several first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data includes: Respectively use no less than one skiing control item information in the sample VR skiing service operation data as the second skiing control item information, and use no less than one skiing control item information with a distribution quantization difference within the set constraints between the target VR skiing service operation data and the second skiing control item information as the first skiing control item information; Based on the user operation description corresponding to the second skiing control item information in the second user operation description and the user operation description corresponding to no less than one of the first skiing control item information in the first user operation description, obtain no less than one comparison result of the second transition operation description; Based on no less than one comparison result of the second transition operation description, determine the comparison result of the operation description of the second skiing control item information; According to no less than one comparison result of the operation description of the second skiing control item information, determine the comparison result of the operation description between the second user operation description and the first user operation description.

4. The method according to claim 1, wherein The first user operation description includes the first user operation description under no less than one configuration, and the second user operation description includes the second user operation description under no less than one configuration; The determining the comparison result of the operation description between the second user operation description and the first user operation description based on several first skiing control item information in the target VR skiing service operation data and the second skiing control item information in the sample VR skiing service operation data includes: Based on the second skiing control item information in the sample VR skiing service operation data and several first skiing control item information in the target VR skiing service operation data, respectively determine the comparison result of the operation description between the second user operation description under no less than one configuration and the first user operation description with the same configuration, to obtain no less than one comparison result of the operation description under the configuration.

5. The method according to claim 1, characterized in that The determining the quantization common data of the target VR skiing service operation data and the sample VR skiing service operation data based on the comparison result of the operation description includes: Input the comparison result of the operation description into the quantitative analysis model, and based on the processing result of the quantitative analysis model, determine the quantitative common data between the target VR skiing service operation data and the sample VR skiing service operation data.

6. The method according to claim 1, characterized in that, The target VR skiing service operation data is obtained by performing preprocessing of VR skiing service operation data on the basic target VR skiing service operation data, and the sample VR skiing service operation data is obtained by performing preprocessing of VR skiing service operation data on the basic sample VR skiing service operation data; The preprocessing of the VR skiing service operation data includes at least one of normalization processing and data mapping.

7. A VR skiing control system, characterized in that, It includes 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 method according to any one of claims 1-6 above.

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