Intelligent interaction method and system for element universe digital exhibition hall

Abstract

The invention provides an intelligent interaction method and system for a meta universe digital exhibition hall, and belongs to the technical field of image analysis, and the method specifically comprises the steps: determining a data interaction mode of an interaction object in a target browsing popularity interval according to interaction object data in different browsing popularity intervals, based on the data interaction mode of the interaction object in the target browsing popularity interval and the unconstructed exhibit data, determining a control scheme of the data interaction mode of the interaction object in the user browsing process, determining operation data of a server by using the control scheme, and displaying the data interaction mode of the interaction object in the user browsing process by using the operation data of the server in each browsing number interval. And the construction target of the interaction object in the non-constructed exhibit in the target browsing popularity interval is determined, so that the comprehensiveness of construction of the interaction processing object of the exhibit is improved.

Description

Technical Field

[0001] This invention belongs to the field of image analysis technology, and in particular relates to an intelligent interactive method and system for a metaverse digital exhibition hall. Background Art

[0002] To increase the exhibition hall's exposure, a digital exhibition hall was constructed by combining metaverse technology, allowing visitors to browse the exhibition hall without leaving home. However, at the same time, how to achieve intelligent interaction between visitors and exhibits and improve the browsing experience has become an urgent technical problem to be solved.

[0003] Therefore, in order to achieve data interaction and processing with visitors, existing technical solutions, such as the 3D disassembly demonstration of the bronze casting process in the Palace Museum's digital exhibition hall, have increased user dwell time by 42%, greatly improving the user's browsing experience. However, the above technical solutions have the following technical problems: When interacting with visitors, existing technical solutions often use browsing popularity to determine which exhibits can be used for data interaction. However, due to limitations in server resources, relying on browsing popularity to determine which exhibits can be used for data interaction inevitably leads to excessive data processing pressure on the server, resulting in too few exhibits that can be used for data interaction and thus deteriorating the overall display effect of the exhibits.

[0004] To address the aforementioned technical issues, this application provides an intelligent interactive method and system for a metaverse digital exhibition hall. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides an intelligent interactive method for a metaverse digital exhibition hall, which includes: S1 uses browsing data of exhibits in the Metaverse Digital Exhibition Hall to divide the exhibits into multiple browsing popularity intervals. Based on the exhibit data in each browsing popularity interval, it determines the number of interactive objects to be constructed for the exhibits. Based on the number of constructions, it determines the interactive objects within the browsing popularity interval. S2 determines the data interaction method of the interactive object in the target browsing popularity range based on the interactive object data in different browsing popularity ranges, and determines the control scheme of the data interaction method of the interactive object in the user browsing process based on the data interaction method of the interactive object in the target browsing popularity range and the unconstructed exhibit data, and uses the control scheme to determine the server's operating data. S3 uses server operating data across various visitor count ranges to determine the construction target for interactive objects in unconstructed exhibits within the target visitor popularity range.

[0006] The beneficial effects of the present invention are: By using the number of interactive objects built as a basis, interactive objects within browsing popularity ranges are determined. This enables the construction of interactive objects in each browsing popularity range, avoiding the technical problem of excessive server data processing pressure and a small number of interactive objects being built due to solely relying on browsing popularity. This improves the comprehensiveness of interactive object construction.

[0007] Based on the data interaction methods of interactive objects within the target browsing popularity range and the data of unbuilt exhibits, a control scheme for the data interaction methods of interactive objects during user browsing is determined. This achieves a comprehensive evaluation of the construction and processing of interactive objects with high browsing popularity, considering the large number of data interaction methods and unbuilt exhibits. Consequently, it enables the determination of a control scheme for the data interaction methods of interactive objects during user browsing based on the comprehensiveness of the construction and processing. While meeting user browsing needs, it also ensures, as quickly as possible, a reliable assessment of the server's data processing pressure under existing interactive objects and different browsing user ranges.

[0008] By utilizing server operation data across different visitor count intervals, the construction targets for interactive objects in unconstructed exhibits within the target visitor popularity interval are determined. This fully considers the remaining server load capacity and the comprehensiveness of the identification and processing within each visitor count interval. Consequently, while meeting the interaction processing requirements of existing interactive objects within each visitor count interval, the comprehensiveness of constructing interactive objects for exhibits with high visitor popularity is improved.

[0009] Furthermore, the exhibits are divided into multiple browsing popularity ranges, specifically including: Based on the average daily number of visitors to the exhibits, the exhibits are divided into the same browsing popularity range.

[0010] Specifically, exhibits with daily average page views within the same page view range are grouped into the same page view popularity range. In one possible embodiment, the page view range is divided into equal intervals of 20 people.

[0011] Furthermore, the method for determining the number of interactive objects constructed for the exhibits is as follows: Based on the exhibit data for each browsing popularity interval, the average daily number of visitors for each exhibit in each browsing popularity interval is determined. The average number of daily visitors for different exhibits is taken as the average number of visitors. Based on the average number of visitors and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined.

[0012] Furthermore, the method for determining the interactive objects within the browsing popularity range is as follows: The proportion of exhibits constructed within each browsing popularity range is determined based on the proportion of exhibits within that range. The number of interactive objects constructed within the browsing popularity range is determined by multiplying the proportion of the number of constructions by the number of constructions. Based on the number of creations within the browsing popularity range, the interactive objects within the browsing popularity range are determined.

[0013] Furthermore, if the average operating load rate within the target visitor range does not meet the requirements (i.e., it is greater than 0.9), then it is determined that unbuilt exhibits within the target visitor popularity range do not need to have interactive objects built.

[0014] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described intelligent interactive method for a metaverse digital exhibition hall when running the computer program.

[0015] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0018] Figure 1 This is a flowchart of an intelligent interactive method for a metaverse digital exhibition hall; Figure 2 This is a flowchart illustrating the method for determining the number of interactive objects to be constructed for the exhibits; Figure 3 This is a flowchart illustrating the method for determining the data interaction methods of interactive objects within the target browsing popularity range; Figure 4 It is a framework diagram of a computer system. Detailed Implementation

[0019] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0020] In this application, by limiting the number of interactive objects constructed in different browsing popularity ranges, the number of interactive objects constructed is increased, thereby making the construction of interactive objects in the exhibits more comprehensive.

[0021] Example 1 like Figure 1 As shown, this application provides an intelligent interactive method for a metaverse digital exhibition hall, specifically including: S1 uses browsing data of exhibits in the Metaverse Digital Exhibition Hall to divide the exhibits into multiple browsing popularity intervals. Based on the exhibit data in each browsing popularity interval, it determines the number of interactive objects to be constructed for the exhibits. Based on the number of constructions, it determines the interactive objects within the browsing popularity interval. Furthermore, the exhibits are divided into multiple browsing popularity ranges, specifically including: Based on the average daily number of visitors to the exhibits, the exhibits are divided into the same browsing popularity range.

[0022] Specifically, exhibits with daily average page views within the same page view range are grouped into the same page view popularity range. In one possible embodiment, the page view range is divided into equal intervals of 20 people.

[0023] Specifically, such as Figure 2 As shown, the method for determining the number of interactive objects to be constructed for the exhibit is as follows: Based on the exhibit data for each browsing popularity interval, the average daily number of visitors for each exhibit in each browsing popularity interval is determined. The average number of daily visitors for different exhibits is taken as the average number of visitors. Based on the average number of visitors and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined.

[0024] It is understandable that, based on the average number of visitors and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined, specifically including: Based on the average number of visitors, a construction ratio is determined. Based on the product of the construction ratio and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined.

[0025] In one possible embodiment, the construction ratio is related to the average number of visitors, wherein the higher the average number of visitors, the larger the construction ratio. In one possible embodiment, when the average number of visitors is between 0 and 50, the ratio factor is 0.1, and when the average number of visitors is greater than 50, the ratio factor is 0.15.

[0026] Optionally, the method for determining the number of interactive objects to be constructed for the exhibit is as follows: Based on the exhibit data for each browsing popularity interval, the average daily number of visitors for each exhibit in each browsing popularity interval is determined. The average number of daily visitors for different exhibits is taken as the average number of visitors. Based on the average number of visitors, exhibits with an average number of visitors greater than a preset visitor threshold are identified. The total number of interactive objects for each exhibit is then determined using the total number of exhibits with an average number of visitors greater than the preset visitor threshold and the total number of exhibits in the Metaverse Digital Exhibition Hall.

[0027] It is understandable that the number of interactive objects created for the exhibits is the number of exhibits whose average number of visitors is greater than a preset visitor threshold.

[0028] Furthermore, the method for determining the interactive objects within the browsing popularity range is as follows: The proportion of exhibits constructed within each browsing popularity range is determined based on the proportion of exhibits within that range. The number of interactive objects constructed within the browsing popularity range is determined by multiplying the proportion of the number of constructions by the number of constructions. Based on the number of creations within the browsing popularity range, the interactive objects within the browsing popularity range are determined.

[0029] It is understood that the interactive objects within the browsing popularity range are the exhibits with the highest average daily number of visitors within the browsing popularity range, that is, the exhibits with the highest average daily number of visitors are selected as the interactive objects within the browsing popularity range.

[0030] S2 determines the data interaction method of the interactive object in the target browsing popularity range based on the interactive object data in different browsing popularity ranges, and determines the control scheme of the data interaction method of the interactive object in the user browsing process based on the data interaction method of the interactive object in the target browsing popularity range and the unconstructed exhibit data, and uses the control scheme to determine the server's operating data. Specifically, such as Figure 3 As shown, the method for determining the data interaction method of interactive objects within the target browsing popularity range is as follows: Based on the interactive object data in different browsing popularity intervals, determine the number of interactive objects in different browsing popularity intervals; Based on the number of interactive objects and the average daily number of visitors, the interactive objects that adopt the real-time data interaction method are determined. Based on the composition data of interactive objects within the target browsing popularity range and the interactive object data using a real-time data interaction method, the data interaction method of the interactive objects within the target browsing popularity range is determined.

[0031] It should be noted that the target browsing popularity range is the browsing popularity range with an average daily number of visitors greater than 100.

[0032] It is understandable that when the proportion of interactive objects within the target browsing popularity range is less than a preset proportion threshold, it means that most exhibits have not undergone interactive object construction. Therefore, based on this, it is determined that the data interaction method of the interactive objects within the target browsing popularity range is a real-time data interaction method.

[0033] In one possible embodiment, when the proportion of interactive objects within the target browsing popularity range is less than 0.1, the data interaction method of the interactive objects within the target browsing popularity range is determined to be a real-time data interaction method.

[0034] It is understandable that when the proportion of interactive objects within the target browsing popularity range is not less than a preset proportion threshold, it is also necessary to determine the interactive object data using the real-time data interaction method. The interactive objects using the real-time data interaction method are determined based on the proportion of interactive objects within the browsing popularity range where the interactive object is located and the average daily number of visitors. Specifically, interactive objects within the browsing popularity range where the proportion of interactive objects is less than 0.05, the proportion of interactive objects is less than 0.1, and the average daily number of visitors is greater than 50 are considered as interactive objects using the real-time data interaction method.

[0035] It should be noted that when the number of interactive objects using the real-time data interaction method does not meet the requirements, and in one possible embodiment it is more than 50, if all interactive objects within the target browsing popularity range use the real-time data interaction method, it will cause excessive processing pressure on the server. Therefore, based on this, the real-time data interaction method and the preset interaction method are used together to determine the interaction method of the interactive objects within the target browsing popularity range.

[0036] Additionally, it can be understood that when the number of interactive objects using the real-time data interaction method meets the requirements, the interaction method of the interactive objects is determined based on the number of interactive objects within the target browsing popularity range. Specifically, when the number of interactive objects within the target browsing popularity range and the total number of interactive objects using the real-time data interaction method meet the requirements, the data interaction method of the interactive objects within the target browsing popularity range is determined to be the real-time data interaction method. When the number of interactive objects within the target browsing popularity range and the total number of interactive objects using the real-time data interaction method do not meet the requirements, the real-time data interaction method and the preset interaction method are used together to determine the interaction method of the interactive objects within the target browsing popularity range.

[0037] In one possible embodiment, the interaction method of interactive objects within the target browsing popularity range is determined by combining real-time data interaction with a preset interaction method, specifically including: Based on the preset number of builds, the difference between the preset number of builds and the number of interactive objects using the real-time data interaction method is taken as the number of builds for the real-time data interaction method. Within the target browsing popularity range, the interactive object with the highest average daily number of visitors is selected as the interactive object using the real-time data interaction method. The remaining interactive objects within the target browsing popularity range are constructed using preset interaction methods.

[0038] It is understood that the preset interaction method is to perform real-time interaction processing of the interaction object only when the number of simultaneous viewers of the interaction object meets the requirements. In one possible embodiment, real-time interaction processing of the interaction object is performed only when the number of simultaneous viewers of the interaction object is not less than 6.

[0039] It should be noted that the real-time data interaction method means that real-time interaction processing of the interactive object is carried out whenever there are browsing users.

[0040] Specifically, the method for determining the control scheme of the data interaction mode of the interactive object during the user's browsing process is as follows: Based on the data interaction methods of interactive objects within the target browsing popularity range, determine the interactive objects that adopt the preset interaction methods within the target browsing popularity range, and use them as the preset interaction objects; Based on the unconstructed exhibit data within the target browsing popularity range, identify exhibits that do not belong to interactive objects within the target browsing popularity range and classify them as uninteractive exhibits. Using the compositional data of the non-interactive exhibits and the preset interactive objects, a control scheme for the data interaction method of the interactive objects during the user's browsing process is determined.

[0041] It should be noted that determining whether the number of interactive objects in the preset mode and the number of uninteracted exhibits meet the requirements is crucial. When the number of interactive objects in the preset mode does not meet the requirements and the number of uninteracted exhibits is greater than the preset exhibit quantity threshold, then at different times, all interactive objects are processed using real-time data interaction to control the interaction, thereby determining the actual operating status of the server.

[0042] It is understandable that when the proportion of the number of interactive objects in the preset mode within the target browsing popularity range is greater than 0.6, or the number of non-interactive exhibits within the target browsing popularity range is greater than 20, the reliability of the construction and processing of interactive objects for exhibits within the target browsing popularity range is low. In order to quickly assess the server's operating status and thus quickly construct the interactive mode for non-interactive exhibits, all interactive objects are processed using real-time data interaction at different times to determine the server's true operating status.

[0043] It should be noted that when the number of interactive objects using the preset method meets the requirements or the number of uninteracted exhibits is not greater than the preset exhibit quantity threshold, if the number of interactive objects using the preset method does not meet the requirements or the number of uninteracted exhibits is greater than the preset exhibit quantity threshold, the interactive object data using the preset interaction method among the interactive objects in the Metaverse Digital Exhibition Hall is obtained. If the proportion of the number of interactive objects using the preset interaction method among the interactive objects in the Metaverse Digital Exhibition Hall is greater than the preset proportion threshold, in order to determine the server's operating status under the condition that all interactive objects are in real-time data interaction mode, therefore, based on this, as long as the number of interactive objects in real-time data interaction processing at the specified time meets the requirements, all interactive objects at the specified time are processed using real-time data interaction mode for interactive control.

[0044] In one possible embodiment, when the proportion of interactive objects using a preset interaction method in the metaverse digital exhibition hall is greater than 0.6, in order to determine the server's operating state when all interactive objects are in real-time data interaction mode, if the proportion of interactive objects in real-time data interaction processing at that time is greater than 0.5, then all interactive objects will be processed using real-time data interaction mode at that time. If the proportion of interactive objects in real-time data interaction processing at that time is not greater than 0.5, then there is no need to control the interaction mode of the interactive objects at that time.

[0045] Furthermore, it is understood that if the proportion of interactive objects using the preset interaction method in the Metaverse Digital Exhibition Hall is not greater than a preset proportion threshold, then the average daily number of visitors using the preset interaction method is further determined. When the average daily number of visitors using the preset interaction method is less than the preset visitor threshold, i.e., 10 people, then as long as the proportion of interactive objects undergoing real-time data interaction processing at that moment is greater than 0.5, all interactive objects will be processed using the real-time data interaction method at that moment. If the proportion of interactive objects undergoing real-time data interaction processing at that moment is not greater than 0.5, then there is no need to control the interaction method of the interactive objects at that moment.

[0046] When the average daily number of visitors to interactive objects using the preset interaction method is not less than the preset visitor threshold, i.e., 10 people, then as long as the proportion of interactive objects in real-time data interaction processing at that time is greater than 0.7, all interactive objects will be processed using the real-time data interaction method at that time. If the proportion of interactive objects in real-time data interaction processing at that time is not greater than 0.7, then there is no need to process the interaction method of the interactive objects at that time.

[0047] Furthermore, if the number of interactive objects in the preset mode meets the requirements and the number of uninteracted exhibits is not greater than the preset exhibit quantity threshold, then as long as the proportion of interactive objects in real-time data interaction processing at the specified time is greater than 0.7, then all interactive objects will be processed using real-time data interaction at the specified time. If the proportion of interactive objects in real-time data interaction processing at the specified time is not greater than 0.7, then there is no need to process the interaction mode of the interactive objects at the specified time.

[0048] Optionally, the method for determining the control scheme of the data interaction mode of the interactive object during the user's browsing process is as follows: Based on the data interaction methods of interactive objects within the target browsing popularity range, determine the interactive objects that adopt the preset interaction methods within the target browsing popularity range, and use them as the preset interaction objects; Based on the unconstructed exhibit data within the target browsing popularity range, identify exhibits that do not belong to interactive objects within the target browsing popularity range and classify them as uninteractive exhibits. The average of the proportion of non-interactive exhibits and the proportion of interactive objects in the preset mode is used to determine the monitoring deviation value. Based on the monitoring deviation value, a control scheme for the data interaction mode of the interactive objects during the user's browsing process is determined.

[0049] It should be noted that the proportion of non-interactive exhibits is the proportion of non-interactive exhibits within the target browsing popularity range, and the proportion of interactive objects in the preset mode is the proportion of interactive objects within the target browsing popularity range.

[0050] It should be noted that when the monitored deviation value is greater than the preset deviation threshold, in order to quickly assess the server's operating status and thus quickly build the interaction method for non-interactive exhibits, all interactive objects are processed using real-time data interaction at different times to determine the server's true operating status.

[0051] Additionally, it can be understood that when the monitored deviation value is not greater than the preset deviation threshold, if the proportion of interactive objects using the preset interaction method in the interactive objects of the Metaverse Digital Exhibition Hall is greater than the preset proportion threshold, in order to determine the server's operating state under the condition that all interactive objects are in the real-time data interaction mode, therefore, based on this, as long as the number of interactive objects in the real-time data interaction processing at the time meets the requirements, all interactive objects at the time are processed using the real-time data interaction mode for interactive control.

[0052] Furthermore, it is understood that if the proportion of interactive objects using the preset interaction method in the Metaverse Digital Exhibition Hall is not greater than a preset proportion threshold, then the average daily number of visitors using the preset interaction method is further determined. When the average daily number of visitors using the preset interaction method is less than the preset visitor threshold, i.e., 10 people, then as long as the proportion of interactive objects undergoing real-time data interaction processing at that moment is greater than 0.5, all interactive objects will be processed using the real-time data interaction method at that moment. If the proportion of interactive objects undergoing real-time data interaction processing at that moment is not greater than 0.5, then there is no need to control the interaction method of the interactive objects at that moment.

[0053] When the average daily number of visitors to interactive objects using the preset interaction method is not less than the preset visitor threshold, i.e., 10 people, then as long as the proportion of interactive objects in real-time data interaction processing at the specified time is greater than 0.7, all interactive objects will be processed using the real-time data interaction method at the specified time. If the proportion of interactive objects in real-time data interaction processing at the specified time is not greater than 0.7, then there is no need to process the interaction method of the interactive objects at the specified time.

[0054] It should be noted that when real-time data interaction is used for interactive control processing at the stated moment, real-time data interaction will be used for interactive control processing for a preset duration in the future from the stated moment. Specifically, real-time data interaction will be used for interactive control processing for the next 10 minutes.

[0055] S3 uses server operating data across various visitor count ranges to determine the construction target for interactive objects in unconstructed exhibits within the target visitor popularity range.

[0056] Furthermore, the method for determining the construction target of interactive objects in unconstructed exhibits within the target browsing popularity range is as follows: Based on the control scheme, the timing of real-time interactive control under the control scheme is determined and used as the control timing; Based on the server's operating data under the aforementioned control scheme, the server's operating load rate during the control period corresponding to the control time is determined. By utilizing the control time intervals within each visitor count range and the server load rate during the corresponding control period, the construction target of interactive objects in unconstructed exhibits within the target visitor popularity range is determined.

[0057] It should be noted that the control time period corresponding to the control time is a time period within a preset duration in the future of the control time.

[0058] Specifically, the number of visitors is divided according to the number of visitors to the Metaverse Digital Exhibition Hall. In one possible embodiment, the number of visitors to the Metaverse Digital Exhibition Hall is divided into intervals of 100 people.

[0059] It is understandable that the number of control moments within each range of visitors is obtained, and the range of visitors whose number of control moments does not meet the requirement (i.e., the range of visitors whose number of control moments is less than 40) is obtained. When the proportion of browsing time corresponding to the range of visitors whose number of control moments does not meet the requirement does not meet the requirement, it is not necessary to accurately determine the actual operating status of the server. Therefore, it is determined that there is no need to construct interactive objects for exhibits that have not been built within the target browsing popularity range.

[0060] In one embodiment, if the total percentage of browsing time corresponding to the number of browsing times that do not meet the requirements is greater than 0.2, then it is determined that the unbuilt exhibits within the target browsing popularity range do not need to have interactive objects built.

[0061] Additionally, when the number of control moments does not meet the requirement, but the percentage of browsing time corresponding to the number of visitors meets the requirement, it is also necessary to determine the average server load rate during the control period of the control moments in different visitor ranges, and use it as the average load rate. When the average load rate in different visitor ranges does not meet the requirement, i.e., it is greater than 0.9, it is determined that the unbuilt exhibits in the target browsing popularity range do not need to build interactive objects.

[0062] Additionally, it can be understood that when the average load rate within different visitor count intervals meets the requirements, the average operating load rate within the target visitor count interval is obtained. When the average operating load rate within the target visitor count interval does not meet the requirements, i.e., it is greater than 0.9, it is determined that the unbuilt exhibits within the target visitor count interval do not need to have interactive objects built.

[0063] It should be noted that the target number of visitors range refers to the range in which the number of visitors to the Metaverse Digital Exhibition Hall falls within the range and the duration of their visit is greater than 0.1% of the total historical visit duration of the Metaverse Digital Exhibition Hall.

[0064] Specifically, when the average operating load rate within the target visitor count range meets the requirements, it is also necessary to determine the control time data within the target visitor count range. When the number of control times in different target visitor count ranges meets the requirements, the construction target of the interactive object of the unbuilt exhibit in the target visitor popularity range is determined based on the average of the average operating load rate in different target visitor count ranges.

[0065] Furthermore, it is understandable that when the number of control moments in different target visitor ranges does not meet the requirements, the actual operating status of the server cannot be effectively evaluated. Therefore, it is determined that unbuilt exhibits in the target visitor popularity range do not need to have interactive objects built.

[0066] It should be noted that the construction target of interactive objects for unbuilt exhibits within the target browsing popularity range is determined based on the average of the average runtime rate within different target visitor ranges. Specifically, this includes: Based on the average of the average operating load rate, the remaining load rate range of the server is determined. Based on the preset number of interactive objects to be built corresponding to the remaining load rate range, the construction target of interactive objects for unbuilt exhibits within the target browsing popularity range is determined.

[0067] It is understood that the remaining load rate range is determined based on the difference between 1 and the average of the average operating load rate. The preset number of items to be built is 5 when the remaining load rate range is greater than 50%, 3 when the remaining load rate range is between 20% and 50%, and 1 in other cases. The unbuilt exhibit with the highest average daily number of visitors within the target browsing popularity range is selected as the target for building interactive objects.

[0068] Optionally, the method for determining the construction target of interactive objects in unconstructed exhibits within the target browsing popularity range is as follows: Based on the control scheme, the timing of real-time interactive control under the control scheme is determined and used as the control timing; Based on the server's operating data under the control scheme, the server's operating load rate during the control period corresponding to the control time is determined, and the average operating load rate within each range of visitor numbers is determined based on the operating load rate. By utilizing the runtime load rate within the target visitor count range, as well as the control time data and the average runtime load rate within each visitor count range, the construction target for interactive objects in unconstructed exhibits within the target visitor popularity range is determined.

[0069] Understandably, when the average load rate in each range of visitor counts exceeds the preset load rate threshold, it is determined that unbuilt exhibits within the target visitor popularity range do not need to have interactive objects built.

[0070] Furthermore, if the average operating load rate within the target visitor range does not meet the requirements (i.e., it is greater than 0.9), then it is determined that unbuilt exhibits within the target visitor popularity range do not need to have interactive objects built.

[0071] Specifically, when the average operating load rate in each visitor count interval is not greater than the preset load rate threshold, and when the number of control moments in different target visitor count intervals meets the requirements, the construction target of the interactive object of the unbuilt exhibit in the target visitor popularity interval is determined based on the average of the average operating load rate in different target visitor count intervals.

[0072] Furthermore, it is understandable that when the number of control moments in different target visitor ranges does not meet the requirements, the actual operating status of the server cannot be effectively evaluated. Therefore, it is determined that unbuilt exhibits in the target visitor popularity range do not need to have interactive objects built.

[0073] Example 2 Secondly, such as Figure 4 As shown, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described intelligent interactive method for a metaverse digital exhibition hall when running the computer program.

[0074] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0075] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0076] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. An intelligent interactive method for a metaverse digital exhibition hall, characterized in that, Specifically, it includes: Based on the browsing data of exhibits in the Metaverse Digital Exhibition Hall, the exhibits are divided into multiple browsing popularity intervals. Based on the exhibit data in each browsing popularity interval, the number of interactive objects to be constructed for the exhibits is determined. Based on the number of constructions, the interactive objects within the browsing popularity interval are determined. Based on the interactive object data in different browsing popularity intervals, determine the data interaction mode of the interactive objects in the target browsing popularity interval. Based on the data interaction mode of the interactive objects in the target browsing popularity interval and the unconstructed exhibit data, determine the control scheme of the data interaction mode of the interactive objects during the user's browsing process. Use the control scheme to determine the server's operating data. By utilizing server operation data across various visitor count intervals, the construction target for interactive objects in unconstructed exhibits within the target visitor popularity interval is determined.

2. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 1, characterized in that, The exhibits are divided into multiple browsing popularity zones, specifically including: Based on the average daily number of visitors to the exhibits, the exhibits are divided into the same browsing popularity range.

3. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 1, characterized in that, Exhibits with the same average daily number of visitors are grouped into the same popularity range.

4. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 1, characterized in that, The method for determining the number of interactive objects to be constructed for the exhibits is as follows: Based on the exhibit data for each browsing popularity interval, the average daily number of visitors for each exhibit in each browsing popularity interval is determined. The average number of daily visitors for different exhibits is taken as the average number of visitors. Based on the average number of visitors and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined.

5. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 4, characterized in that, Based on the average number of visitors and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined, specifically including: Based on the average number of visitors, a construction ratio is determined. Based on the product of the construction ratio and the total number of exhibits in the Metaverse Digital Exhibition Hall, the number of interactive objects to be constructed for each exhibit is determined.

6. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 1, characterized in that, The method for determining the interactive objects within the browsing popularity range is as follows: The proportion of exhibits constructed within each browsing popularity range is determined based on the proportion of exhibits within that range. The number of interactive objects constructed within the browsing popularity range is determined by multiplying the proportion of the number of constructions by the number of constructions. Based on the number of creations within the browsing popularity range, the interactive objects within the browsing popularity range are determined.

7. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 6, characterized in that, The interactive objects within the browsing popularity range are the exhibits with the highest average daily number of visitors within that browsing popularity range.

8. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 1, characterized in that, The method for determining the construction target of interactive objects in unconstructed exhibits within the target browsing popularity range is as follows: Based on the control scheme, the timing of real-time interactive control under the control scheme is determined and used as the control timing; Based on the server's operating data under the aforementioned control scheme, the server's operating load rate during the control period corresponding to the control time is determined. By utilizing the control time intervals within each visitor count range and the server load rate during the corresponding control period, the construction target of interactive objects in unconstructed exhibits within the target visitor popularity range is determined.

9. The intelligent interactive method for the metaverse digital exhibition hall as described in claim 8, characterized in that, The control time period corresponding to the control time is a time period within a preset duration in the future of the control time.

10. A computer system, comprising: A memory and processor connected by communication, and a computer program stored on the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes an intelligent interactive method for a metaverse digital exhibition hall as described in any one of claims 1-9.

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